Asymptotic estimates to a free boundary problem for the stationary Navier-Stokes equations

Size: px
Start display at page:

Download "Asymptotic estimates to a free boundary problem for the stationary Navier-Stokes equations"

Transcription

1 Asymptotic estimates to a free boundary problem for the stationary Navier-Stokes equations Von der Fakultät für Mathematik, Informatik und Naturwissenschaften der RWTH Aachen University zur Erlangung des akademischen Grades einer Doktorin der Naturwissenschaften genehmigte Dissertation vorgelegt von Dipl.-Math. Ute May aus Aachen Berichter: Prof. em. Dr. Josef Bemelmans Prof. Dr. Heiko von der Mosel Prof. Giovanni P. Galdi Tag der mündlichen Prüfung: 20. Dezember 2013 Diese Dissertation ist auf den Internetseiten der Hochschulbibliothek online verfügbar.

2 Abstract We analyse the decay of the flow behind a moving body B in a domain Ω h filled with a Newtonian incompressible fluid, where the body is partly immersed in the fluid. The only force acting in this setting is the body moving forward with constant velocity v. To neglect the influence of the bottom and walls of the domain, we assume that the container filled with fluid is infinitely deep and wide. The shape of the surface of the fluid and the position of the body are unknowns of the problem. Our aim is to find a solution to the free boundary value problem and to specify the asymptotic behaviour of the solution. The equations of motion in the fluid are given by the Navier-Stokes equations. We follow the usual approach to show existence of a stationary solution to a free boundary value problem by showing convergence to an iteration process: First we consider the problem on a fixed domain. We solve the Navier-Stokes equations and obtain the velocity u and the pressure p. This solution is then used to calculate the surface and the position of the body in a new domain. In the new domain we again solve the Navier-Stokes equations and so on. If we can show convergence to the sequence of solutions, we get a stationary solution to the free boundary problem. In the main part of the thesis we investigate the asymptotic structure of the static solution on a fixed domain. With the help of a reflection argument we show a representation formula for the velocity on the basis of a representation formula in an exterior domain. The result is exactly what we would expect: The behaviour of the solution at large distance from the body corresponds to the one in an exterior domain, but is perturbed by a term that depends on the surface of the fluid h. When we consider the Oseen equations as a linearisation we can also prove a wake region behind the body. It has the shape of a half paraboloid again perturbed by terms depending on h. As the asymptotic representation formula holds on Ω h we can also describe the asymptotic structure on the surface of the fluid. The last chapter deals with a two dimensional problem of a similar type. We show, that the decay behind a floating body in a two dimensional layer is exponentially fast. As we consider a layer instead of a half-space, we have a Poincaré-inequality, which directly gives uniqueness of the solution. Therefore we concentrate on the asymptotic structure of the solution in this chapter. i

3 Kurzfassung Wir analysieren das Abklingverhalten der Strömung hinter einem schwimmenden Körper B in einem Gebiet Ω h in einer inkompressiblen Newtonschen Flüssigkeit. Die einzige wirkende Kraft ist die Vorwärtsbewegung des Körpers mit konstanter Geschwindigkeit v. Um den Einfluss des Bodens und der Wände in dem Gebiet auszublenden, nehmen wir an, dass der Behälter mit der Flüssigkeit unendlich tief und breit ist. Die Oberflächenform der Flüssigkeit und die Position des Körpers sind Unbekannte des Problems. Unser Ziel ist es, eine Lösung des freien Randwertproblems zu finden und das asymptotische Verhalten der Lösung zu analysieren. Die Bewegungsgleichungen in der Flüssigkeit sind durch die Navier-Stokes-Gleichungen gegeben. Mit einem Iterationsverfahren zeigen wir die Existenz einer Lösung des freien Randwertproblems: Zunächst betrachten wir das Problem auf einem festen Gebiet. Wir lösen die Navier-Stokes-Gleichungen und erhalten die Geschwindigkeit u und den Druck p. Mithilfe dieser Lösung berechnen wir die Oberfläche und die Position des Körpers in einem neuen Gebiet. In dem neuen Gebiet lösen wir abermals die Navier-Stokes-Gleichungen. Wenn wir zeigen können, dass diese Folge der Lösungen konvergiert, erhalten wir eine stationäre Lösung des freien Randwertproblems. Um das asymptotische Verhalten der Lösung zu analysieren, zeigen wir mit Hilfe eines Spiegelungsargumentes eine Darstellungsformel für die Geschwindigkeit. Das Abklingverhalten der Lösung entspricht dem im Außenraum, abgesehen von einem Term, der von der Oberfläche der Flüssigkeit h abhängt. Wenn wir die Oseen- Gleichungen betrachten, können wir auch einen Nachlauf hinter dem Körper beweisen. Er hat die Form eines halben Paraboloids, gestört durch einen von h abhängigen Faktor. Da die asymptotische Darstellungsformel auf Ω h gilt, können wir auch die asymptotische Struktur der Geschwindigkeit auf der Oberfläche der Flüssigkeit beschreiben. Das letzte Kapitel beschäftigt sich mit einem ähnlichen zweidimensionalen Problem. Wir zeigen, dass die Geschwindigkeit hinter einem schwimmenden Körper in einer zweidimensionalen Schicht exponentiell schnell abklingt. Da wir eine Schicht anstelle einer Halbraumes betrachten, gilt die Poincaré-Ungleichung, die direkt die Eindeutigkeit der Lösung liefert. Daher untersuchen wir nur die asymptotische Struktur der Lösung. ii

4 Ich möchte mich herzlich bei Professor Bemelmans für die motivierende und hilfsbereite Betreuung der Arbeit bedanken. Niemand versteht es besser, Begeisterung für mathematische Problemstellungen zu wecken. A special thanks to Professor Galdi, who has also contributed significantly to the success of this work. Die Dissertation und insbesondere der Auslandsaufenthalt bei Professor Galdi wurde unterstützt von der Graduiertenförderung der RWTH Aachen. Auch hierfür möchte ich mich herzlich bedanken. Ein großes Dankeschön geht an meine Kollegen und meine Familie, die mir immer unterstützend zur Seite gestanden haben. Vielen Dank an Fabian und Julia Heimann. Fabian hat die diese Dissertation von der ersten bis zur letzten Zeile in allen Höhen und Tiefen begleitet, Julia sogar ihr ganzes bisheriges Leben lang. Vielen Dank für stundenlanges Zuhören, geduldiges Lesen und unerschütterlichen Optimismus. iii

5 Contents 1 Introduction Motivation Statement of the problem Outline of the thesis Notations 7 3 Existence on a fixed domain 11 4 Transformation to a reference domain 21 5 Regularity and Uniqueness 25 6 Asymptotic behaviour of the solution Decay of the velocity Decay of the surface function The free boundary value problem 51 8 The two dimensional problem in a layer 58 iv

6 1 Introduction 1.1 Motivation The behaviour of a flow in a Newtonian fluid, that is induced by a moving body, partly or completely immersed in the fluid, has been worked on for a long time. One of the first mathematicians and physicians concerned with this problem was Oseen, who already in 1937 found exact representations of solutions to the - in that time - so called generalized Stokes equations. The model problem always was and still is a body that is moving in an infinite container filled with fluid. Oseen thought about the influence of a bottom of the domain on the fluid flow. In his book [Ose27] he analyses the flow around a small ball that is moving next to a wall and he obtains an explicit representation of the solution. Later the model problem of the moving body in the whole space was analysed very elaborately by Finn and by Galdi, the decay behind the body was especially the topic of [Gal11] and [Fin65]. It turns out, that in three dimensions the velocity decays like x 1, which is the same asymptotic behaviour as shown by the fundamental solution to the Oseen equations. Finn calls the solutions to this model problem physically reasonable solutions, or in short PR-solutions. The velocity shows a different decay depending on the direction behind the moving body. Outside a paraboloidal region behind the body the velocity decays like x 2, inside the so called wake region the decay gets slower the more the direction approaches the horizontal axis. This behaviour is exactly what you can observe in reality and is therefore physically reasonable. The case of a layer like domain was worked on by Nazarov and Pileckas in [NP99a] and [NP99b]. Here we can see very clearly the influence of a restriction of the domain in one dimension, but they do not consider a moving body in the layer. Instead, the flow is induced by an external force. For example they prescribe the flow through the cross section of the layer. They find out, that the flow has a profile of the Poiseuille type and that the velocity has no component in the direction normal to the bottom and the top of the layer. Unfortunately their argument does not work any longer, if we assume, that the flow is induced by a moving body, because in this case the velocity in the normal direction does not vanish. 1

7 1 Introduction A paper of Hillairet and Wittwer [HW09] deals with the velocity normal to the bottom of a domain, that is unbounded in every other direction. They consider a body moving next to a wall, for example a bubble that rises up parallel to a wall. They prove, that the rate of decay in the normal direction is like x 3/2, which is, as expected, better than in an exterior domain. Aside of moving bodies we focus on another important topic in the analysis of fluid mechanics. The boundaries of the domains we consider will consist not only of the boundary of the moving body, but also of a free boundary. The domain in that case becomes also an unknown of the problem. There are various papers on free boundary value problems, especially in the most recent years by Galdi, by Bemelmans and by Kyed. Already in 1991 Gellrich analysed the decay of a fluid flow in a layer with a upper free boundary in her dissertation. Her work is by many aspects the basis for our results. In [Gel91] she determines the decay of a flow induced by an external force in an infinite layer. The layer has a fixed bottom and a free upper surface. She finds out, that the decay of the flow and the free surface are exponential. In contrast to our problem, there is no floating body and the external force is of compact support or decays exponentially fast. The second difference is the shape of the domain: In a layer we can use a Poincaréinequality, whereas in a half-space as in our case Poincaré s inequality does not hold. Nevertheless the techniques to deal with the free boundary problem are essentially the same for both problems. 1.2 Statement of the problem We consider two different problems to analyse the decay of a flow behind a moving body, one in three dimensions and another in two space dimensions. For the three dimensional case we consider a rigid body B floating on a Newtonian incompressible fluid. The body is assumed to be convex and have a C 2 -boundary. The only force acting in this setting is the body moving forward with constant velocity v in the direction of the negative x 1 -axis. In this context, we are not interested in how this movement is realized, we imagine for example a stick that is attached to the highest point of B, that pushes the body in a constant movement. The angle between the free surface and the body is assumed to be π 2. To neglect the influence of the bottom and walls of the domain, we assume, that the container filled with fluid is infinitely deep and wide. We can also allow for an external force f to be acting in the fluid. As this does not represent a natural phenomenon we consider the problem with a right hand side f 0 only for technical reasons in some cases. 2

8 1 Introduction v B Figure 1.1: Constantly moving body Our aim is to find a solution to the free boundary value problem and to specify the asymptotic behaviour of the solution. The equations of motion in the fluid are given by the Navier-Stokes equations ν u + (u )u + p = f in Ω h, where ν is the viscosity, u is the velocity vector-field, p is the pressure and f is the external force mentioned above. Ω h is the domain that is filled with the fluid. As we only consider incompressible fluids, u has to fulfil the condition u = 0. The boundary Ω h consists of the wetted part of B, which we call Γ B := Ω h B and of the free surface Γ h. On Γ B we assume no slip boundary conditions, on the free surface we have a kinematic boundary condition that ensures, that there is no flow through the free surface and a dynamic boundary condition, that is, in our case, realized by a tangential stress condition. We further assume, that the fluid is at rest at infinity. We assume a coordinate system attached to the body. Therefore we choose the origin to be in the center of B and get the following system of equations on the domain Ω h ν v + (v )v + p = f in Ω h v = 0 in Ω h v = 0 on Γ B v n = 0 on Γ h τ (i) T (v, p) n = 0 on Γ h for i = 1, 2, v v for x, where n is the outer normal on the free surface Γ h, τ i, i = 1, 2 are the tangential vectors and T (v, p) is the stress tensor T (v, p) = p1 + ν 2 ( v + ( v) T ). 3

9 1 Introduction In the free boundary value problem the domain is also an unknown of the problem, we need a further condition to calculate the free surface and the position of the body, that is given by a function h : R 2 R. x 3 h(x 1, x 2 ) (x 1, x 2 ) Figure 1.2: Function h, that describes the surface of the fluid The condition for h is given by where H(h) is the mean curvature n T (v, p) n + ρgh = 2κH(h) H(h) := h 1 + h 2 of h, ρ is the density of the fluid and g is the gravitational acceleration, κ stands for the capillarity constant of the fluid. As we have our coordinate system attached to the body and the domain is infinitely deep, the position of the body in the fluid is only characterized by the position of the contact line Σ between the surface of the fluid and the boundary of the body. We do not allow the body to change its orientation or to rotate. This restriction is already realized by the prescribed motion of the body. We can again imagine the body to be attached to a stick and just to let it move up or down, while the stick is moving forwards with the prescribed velocity v. The position of the contact line is calculated with a variational approach by Bemelmans, Galdi and Kyed ([BGK11]). They show that the solution of the variational problem satisfies the equation for the function h mentioned above. 4

10 1.3 Outline of the thesis 1 Introduction We follow the usual approach to show existence of a stationary solution to a free boundary value problem (see for example [Gel91]) by showing convergence to an iteration process: First we consider the problem on a fixed domain Ω h. For simplicity the boundary of the domain is assumed to be planar in the first step except for the floating body B. We solve the Navier-Stokes equations and obtain the velocity u and the pressure p on the domain Ω h. This solution is then used to calculate the surface and the position of the body in a new domain. The calculation of the surface is more complicated than in [Gel91] because of the floating body. The existence of a solution to the corresponding problem is established in [BGK11] with the help of a variational approach. In the new domain we again solve the Navier-Stokes equations and so on. If we can show convergence to the sequence of solutions, we get a stationary solution to the free boundary problem. We can of course analyse the properties of this stationary solution if we consider a solution on an arbitrary fixed domain. The dependence on the boundary of the domain is in our case a dependence on the surface of the fluid and the position of the body as the domain is unbounded in every other direction. We use the Banach fix point theorem to show convergence to the sequence of solutions and so we need to compare the velocities and the pressures on different domains and to different data. Therefore we transform the domain onto a reference domain, that is, in our case, the half-space R 3 where the floating body is transformed onto a ball of radius one. We chose this transform, because we have to make sure, that the contact angle between the surface of the fluid and the boundary of the body does not change. The velocity and pressure are transformed with the help of Piola s identity (see [Sim05]) and the transformed Navier-Stokes equations are calculated in [Bem87]. With the help of this mapping we can use a reflection argument to show regularity and uniqueness of the solution on every fixed domain. A similar reflection argument was established in [Jin05], the regularity and uniqueness arguments we can use after the reflection can be found in [Gal11]. In the next chapter we investigate the asymptotic structure of the static solution on a fixed domain. Again with the help of a reflection argument we show a representation formula for the velocity on the basis of a representation formula in an exterior domain (see[gal11]). The result is exactly what we would expect: The behaviour of the solution at large distance from the body corresponds to the one in an exterior domain, but is perturbed by a term that depends on the surface of the fluid h. When we consider the Oseen equations as a linearisation we can also prove a wake region behind the body. It has the shape of a half paraboloid again perturbed by terms depending on h. As the asymptotic representation formula holds on Ω h we can also 5

11 1 Introduction describe the asymptotic structure on the surface of the fluid. We can also estimate the asymptotic behaviour of the function h that describes the surface of the fluid with the help of an indirect proof. The last chapter deals with a two dimensional problem of a similar type. We show, that the decay behind a floating body in a two dimensional layer is exponentially fast. The technique here is different from the three dimensional case, we use an approach of Galdi ([Gal08]). As we consider a layer instead of a half-space, we have a Poincaré-inequality, which directly gives uniqueness of the solution. Therefore we concentrate on the asymptotic structure of the solution in this chapter. 6

12 2 Notations In what follows we denote the domain filled with fluid by Ω h := {x R 3 : x 3 < h(x 1, x 2 )} \ B, where B is the body floating on the fluid and h : R 2 R is the surface function. For simplicity we write x := (x 1, x 2 ), then we have h h(x ). The flat reference domain, that we need to show regularity and uniqueness of the solution, is S := R 3 \ B 1 (0). x 3 Γ h Γ B (x 1, x 2 ) Figure 2.1: The domain Ω h The boundaries of the domains are Γ B := Ω h B, Γ h := {x R 3 : x 3 = h(x 1, x 2 )} \ B and respectively. Γ 1 := B 1 (0) R 3, Γ 0 := R 2 \ B 1 (0) The mapping from Ω h onto S is denoted by φ : S Ω h whereas the inverse mapping ψ : Ω h S maps Ω h onto the reference domain. 7

13 2 Notations x 3 ψ x 3 Γ h Γ B (x 1, x 2 ) Γ 1 Γ 0 (x 1, x 2 ) Ω h S φ Figure 2.2: Ω h and the reference domain S We define the following function spaces: For k N or k = and Ω a domain like Ω h or S we define C k 0 (Ω) := {u C k (Ω) : supp u Ω} and Moreover we set with the norm C k 0 (Ω) := {u Ω : u C k 0 (R 3 )}. W 1,2 (Ω) := {u : Ω R 3 : u W 1,2 (Ω) < } ( u W 1,2 (Ω) := u 2 + u 2 dx Ω ) 1 2 W 1,2 (Ω) is a Hilbert space with scalar-product u, v W 1,2 (Ω) := u v + u v dx. Ω We define the quotient space with the semi-norm and the normed space D 1,2 (Ω) := {u : Ω R 3 : u D 1,2 (Ω) < } ( u D 1,2 (Ω) := u 2 dx Ω D 1,2 (Ω) := D 1,2 (Ω)/R that contains all equivalence classes [u] of functions in D 1,2 (Ω), that satisfy ) 1 2 [u] D1,2 (Ω) = 0 [u] 0. 8

14 2 Notations We denote by u a representative of the class [u]. D 1,2 (Ω) is a Hilbert space with the scalar-product u, v D 1,2 (Ω) := u v dx. As the fluid is incompressible we consider solenoidal functions. We define and in the same way C k 0,σ(Ω) = {u C k 0 (Ω) : u = 0 in Ω} W 1,2 σ (Ω) := {u : Ω R 3 : u W 1,2 (Ω) <, u = 0 in Ω} Ω and Dσ 1,2 (Ω) := {u : Ω R 3 : u D 1,2 (Ω) <, u = 0 in Ω}. We show, that the functions in Wσ 1,2 (Ω) and Dσ 1,2 (Ω) can be approximated by functions from C0,σ (Ω), at least for the domain Ω as it is specified above. In [Gal11, Theorem III.4.3.] the result is shown for a halfspace. To obtain the result for the domain Ω we have to check the conditions i)-iv) in [Gal11, p.198]. We treat the case Wσ 1,2 (Ω), the case Dσ 1,2 (Ω) going completely analogously. (i) It is clear, that Ω R and Ω R,2R as defined in [Gal11] are domains. (ii) We have to check, that problem [Gal11, (III.4.2)] has a solution with a constant c independent of R. This is the case, if we can apply [Gal11, Theorem III.3.1]. Ω and also Ω R and Ω 2R consist of a set of starshaped domains with Lipschitzboundary, as the only critical part of the boundary is the contact line Σ, where we have a right angle. Therefore [Gal11, Theorem III.3.1.] holds. (iii) As we have the Poincaré-inequality [Gal11, (II.5.5.)] in the domain Ω R,2R, the constant c 2 in [Gal11, (III.4.3)] is independent of R (iv) As Ω 2R is a compact domain with Lipschitz-boundary by [Gal11, Theorem III.4.1.]. All conditions are satisfied and we have W 1,2 σ (Ω 2R ) = C 0,σ (Ω 2R) W 1,2 (Ω 2R ) Wσ 1,2 (Ω) = C0,σ (Ω) W 1,2 (Ω) and D 1,2 σ (Ω) = C 0,σ (Ω) D 1,2 (Ω). 9

15 2 Notations We want to consider functions with homogeneous Dirichlet boundary data on Γ B and mixed boundary data on Γ h. We set C k σ,γ(ω) := {ϕ C k 0,σ(Ω) : ϕ = 0 on Γ B, ϕ n = 0 on Γ h } and we define the Sobolev spaces W 1,2 σ,γ (Ω) := C σ,γ (Ω) W 1,2 (Ω) and D 1,2 σ,γ (Ω) := C σ,γ (Ω) D 1,2 (Ω). ( ) The dual space D 1,2 σ,γ (Ω) of D 1,2 σ,γ (Ω) contains all linear functionals on D1,2 and is equipped with the norm We have ([Gal94a][Theorem 2.5, p.39]) l 1,2 := sup l(u). (D σ,γ (Ω)) u D 1,2 (Ω) =1 ( D 1,2 σ,γ (Ω) ) = D 1, 2 σ,γ (Ω). σ,γ (Ω) For the (weak) derivative of a function u in the direction x i we write i u, the whole gradient is u. As we are not interested in the explicit calculation of all constants, we use the generic constant c R, that may change during a calculation. In most cases we consider a coordinate system, that is attached to the moving body. In that case, we call the velocity v. If we shift the velocity to obtain a vector-field that vanishes at infinity, we designate the resulting vector-field as u := v v. 10

16 3 Existence on a fixed domain In this chapter we want to show, that there exists at least one weak solution to the Navier-Stokes equations in Ω := Ω h, where we assume, that Ω h is a given domain with a fixed height function h = h(x ). For simplicity we set v = (1, 0, 0) T. We start by defining a weak solution to the Navier-Stokes equations in the domain Ω. Definition 3.1. A weak solution to the Navier-Stokes equations with right hand side f D 1,2 0 in Ω is a function v D 1,2 σ,γ (Ω) with ν v ϕ dx + (v )vϕ dx = f ϕ dx Ω Ω Ω for all ϕ D 1,2 σ,γ (Ω) and lim v v dx = 0. r B r(0) For a weak solution u to the Navier-Stokes equations the boundary conditions v = 0 on Γ B v n = 0 on Γ h τ (i) T (v, p) n = 0 on Γ h for i = 1, 2, hold in a weak sense (see [Bem81, Definition 2.]). 11

17 3 Existence on a fixed domain We have the following existence theorem: ( ) Theorem 3.2. Let f D 1,2 0 (Ω), h(x ) = O x 3 2, i h = O( x 5 2 ) for i {1; 2}. Then there exists at least one weak solution to the Navier-Stokes equations ν v + (v )v + p = f in Ω v = 0 in Ω v = 0 on Γ B v n = 0 on Γ h τ (i) T (v, p) n = 0 on Γ h for i = 1, 2, v (1, 0, 0) T for x. Proof. (I) In the first step we change the data of the problem to obtain homogeneous boundary conditions on every part of the boundary, including v (0, 0, 0) for x. As in [Gel93, Lemma 3.1.1] we therefore want to find a flux-carrier-function g D 1,2 (Ω) with the following properties: g = 0 in Ω g = 0 on Γ B g n = 0 on Γ h g (1, 0, 0) T for x. In order to fulfil g (1, 0, 0) T we redefine g on the domain S which has a flat surface for large x. We define the transform F : S Ω (x 1, x 2, x 3) (x 1, x 2, x 3 + h(x 1, x 2)χ(x 1, x 2)), where χ(x 1, x 2 ) is a cut-off function with { χ(x 1, x 0 for x < δ 2) = 1 for x > 2δ for some δ > 0. We have F (x 1, x 2, x 3) = hχ + 1 χh 2 hχ + 2 χh 1 12

18 3 Existence on a fixed domain 2δ δ δ 2δ χ = 0 χ = 1 Figure 3.1: Cut-off function χ and det F = 1. Then ζ : Ω R 3 is defined by (see [Sim05]) ζ(x 1, x 2, x 3 ) := F (F 1 (x 1, x 2, x 3 ))ζ (F 1 (x 1, x 2, x 3 )) [ det F (F 1 (x 1, x 2, x 3 )) ] 1, where ζ : S R 3 is a vector field on the (for large x ) flat domain S. To make sure ζ is solenoidal it is now sufficient to make ζ solenoidal. We set 0 q (x 1, x 2, x 3) := x 3 ρ( x ), 0 where ρ is a cut-off function with ρ( x ) = { 0 for x < 3δ 1 for x > 4δ and ρ( x ) + x ζ (x 1, x 2, x 3) := q (x 1, x 2, x 3 3ρ( x ) 3) = 0. x 3 1ρ( x ) For ζ there holds ζ = 0 in S ζ = 0 on F 1 (Γ B ) ζ n = 0 on F 1 (Γ h ) ζ (1, 0, 0) T for x. 13

19 3 Existence on a fixed domain 4δ 3δ 2δ δ δ 2δ χ = 0 χ = 1 3δ 4δ ρ = 0 ρ = 1 Figure 3.2: Cut-off function ρ As h(x ) 0 for x and lim ζ = lim x x ζ ζ 1 hχ + 1 χh 2 hχ + 2 χh = 0 + lim 0, x 0 1 hχ + 1 χh the function ζ goes to (1, 0, 0) for x, whenever x < δ or x. We have to make sure, that ζ (1, 0, 0) T for x also for x = const > δ. Therefore we set g := ζ + ξ, where 0 χ h 3 η ξ = χ h η = 0 0 ( 1 hχ + 1 χh)η, with a cut-off function η(x 3 ) = { 0 for x3 < 5δ 1 for x 3 > 6δ. Then g = ρ + x 3 3 ρ + χ h 3 η 0 ( 1 hχ + 1 χh)(ρ η) + x 3 3 ρ x 3 1 ρ is solenoidal and fulfils the required Dirichlet boundary conditions. 14

20 3 Existence on a fixed domain 4δ 3δ 2δ δ δ 2δ 3δ χ = 0 χ = 1 4δ ρ = 0 ρ = 1 5δ η = 0 6δ η = 1 Figure 3.3: Cut-off function η In addition Γ h τ (i) T (g, p) n dσ = 0 because of Green s formula and the properties of g (see for example [Bem81, (2.7)]). Due to the structures of the cut-off functions, g shows the following behaviour for large x : 1 g h 3 η 0 ( 1 hχ + h 1 χ)(1 η). For the gradient of g we have: i g 1 (x) = i ρ + δ i3 3 ρ + x 3 i 3 ρ + i χh 3 η + χ i h 3 η + χh i 3 η i g 2 (x) = 0 i g 3 (x) = ( i 1 hχ + 1 h i χ + i 1 χh + 1 χ i h)(ρ η) + ( 1 hχ + 1 χh)( i ρ i η) δ i3 3 ρ + x 3 i 3 ρ δ i3 1 ρ x 3 i 1 ρ. For large x this leads to i g 1 (x) i h 3 η + h i 3 η i g 2 (x) = 0 i g 3 (x) ( i 1 hχ + 1 h i χ + 1 χ i h + h i 3 χ)(ρ η) 1 hχ i η and we obtain ( ) g = O x 3 2 for x because of the the asymptotic behaviour of h and g = 0 for x 3 < 7δ. 15

21 3 Existence on a fixed domain (II) The existence of a weak solution can now be proved exactly as in [Gal94b, Theorem IX.4.1] with the help of the Galerkin method. The solution is of the form v = u + g, where g is the function constructed above and u is a weak solution to ν u + (u )u + p + (g )u + (u )g = f + ν g (g )g in Ω u = 0 in Ω u = 0 on Γ B u n = 0 on Γ h τ (i) T (u, p) n = 0 on Γ h for i = 1, 2, u 0 for x. We can choose a sequence {ψ k } k N C Γ,σ(Ω) such that like in ([Gal94a][Lemma VII.2.1.]) for {ψ k } k N C 0,σ (Ω) 1. the linear hull of {ψ k } is dense in D 1,2 Γ,σ (Ω), 2. (ψ k, ψ j ) = δ kj k, j N, 3. given ϕ CΓ,σ (Ω) and ɛ > 0 there is a m = m(ɛ) N and γ 1,..., γ m R such that m ϕ γ i ψ i C 1 < ɛ. i=1 We then have to find a sequence of approximating solutions (u m ) m=1 form m u m = ξ km ψ k such that k=1 of the ν( u m, ψ k ) + ((u m )u m, ψ k ) + ((u m )g, ψ k ) + ((g )u m, ψ k ) (3.1) = [f, ψ k ] ν( g, ψ k ) ((g )g, ψ k ), holds for k = 1,..., m. We want to use [Gal94b, Lemma VIII.3.2] to find a solution for this system. We multiply the equation by ξ km and sum over k from 1 to m. Then we have to find estimates for the terms ((u m )g, u m ), ( g, u m ) and ((g )g, u m ), since with [Gal94b, Lemma VIII.2.1] ((g )u m, u m ) = ((u m )u m, u m ) = 0. 16

22 3 Existence on a fixed domain To estimate ((u m )g, u m ) we can use the fact that g 0 in the same way as h 0 for x and g = 0 for x 3 < 7δ. We have ((u m )g, u m ) = (u m )g u m ) dx Ω u m 2 g dx Ω c u m 2 L 6 (Ω) g L 3/2 (Ω {x 3 < 7δ}) c u m 2 L 2 (Ω) g L 3/2 (Ω {x 3 < 7δ}). To use [Gal94b, Lemma VIII.3.2] we have to make sure, that But as c g L 3/2 (Ω {x 3 < 7δ}) < ν. c g L 3/2 (Ω {x 3 < 7δ}) = c c c Ω {x 3 < 7δ} Ω {x 3 < 7δ} 1 g 3/2 dx x 9/4 dx r 5/4 dr δ c δ < ν, we can choose δ small enough to obtain the desired relation. The integrals ( g, u m ) and ((g )g, u m ) can be estimated exactly as in the proof of [Gal94b, Theorem IX.4.1]: which is bounded because g L 2 (Ω) ( g, u m ) g L 2 (Ω) u m L 2 (Ω), Ω {x 3 > 7δ} 7δ c R 2 \B ɛ(0) 1 h(x ) 2 dx x 3 dx r 2 dr c <. We still have to estimate the integral Ω g g u m dx. We obtain (( ((g ) g, u m ) g (1, 0, 0) T ) ) g u m dx + ( (1, 0, 0)T ) g u m dx. Ω The first integral can be estimated with the Hoelder inequality (( g (1, 0, 0) T ) ) g u m dx c (( g (1, 0, 0) T ) ) g 6 L 5 u m (Ω) L 6 (Ω) Ω Ω c ( g (1, 0, 0) T ) L 3 (Ω) g L 2 (Ω) u m L 2 (Ω). 17

23 3 Existence on a fixed domain For the second term we use the fact that we differentiate only in the direction of x 1. For large x we have 1 g 1 (x) 1 h 3 η 1 g 2 (x) = 0 1 g 3 (x) ( 1 1 hχ + 1 h 1 χ + 1 χ 1 h)(1 η) and the support of 1 g is bounded in x 3 -direction. Therefore ( (1, 0, 0)T ) g = 1 g c h = O ( x 5/2) and we have the following estimate: ( (1, 0, 0)T ) g u m dx c 1g L 6/5 (Ω {x 3 < 7δ}) u m L 6 (Ω) Ω c x ( 2) dx um L 2 (Ω) Ω {x 3 < 7δ} c x 3 dx u m L 2 (Ω) Ω {x 3 < 7δ} c u m L 2 (Ω). With [Gal94b, Lemma VIII.3.2] we have a solution ξ to (3.1) for all m. Again from (3.1) we find (ν + c) u m L 2 (Ω) f D 1,2 (Ω) + ν g L 2 (Ω) + (g (1, 0, 0) T ) L 3 (Ω) g L 2 (Ω) + 1 g L 6/5 (Ω) and so u m c for all m. We can now select a subsequence that is weakly convergent to u D 1,2 Γ,σ (Ω) and with [Gal11, Exercise II.5.8] strongly convergent in L 2 (Ω R ). With [Gal11, Theorem II.3.1] it follows that u L 2 (Ω) c. We want to show that u obeys ν( u, ψ k ) + ((u )u, ψ k ) + ((u )g, ψ k ) + ((g )u, ψ k ) = [f, ψ k ] ν( g, ψ k ) ((g )g, ψ k ). Clearly ( u m, ψ k ) ( u, ψ k ) for m, ((u m )g, ψ k ) ((u )g, ψ k ) for m 18

24 3 Existence on a fixed domain and (((g )u m ), ψ k ) (((g )u), ψ k ) for m, because of the weak convergence in D 1,2 σ,γ (Ω) and the strong convergence in L2 on Ω k, where we set Ω k = supp(ψ k ). Due to the fact, that supp(ψ k ) = Ω k is bounded we can use the same proof as in [Gal11, Theorem IX.3.1] to show that ((u m )u m, ψ k ) ((u )u, ψ k ) for m. It follows that u D 1,2 σ,γ (Ω) is a weak solution to the Navier-Stokes equations in Ω. There holds the estimate (ν + c) u L 2 (Ω) f D 1,2 (Ω) + ν g L 2 (Ω) + (g (1, 0, 0) T ) L 3 (Ω) g L 2 (Ω) + 1 g L 6/5 (Ω) (3.2) Remark 3.3. We use [Gal11, Theorem III.5.3] to show existence and uniqueness of the pressure p L 6 (Ω) corresponding to the solution v Dσ 1,2 (Ω) to the Navier- Stokes problem ν u + (u )u + 1 u + p = 0 in Ω u = 0 in Ω u 0 for x u = v on Γ B u n = v n on Γ h τ (i) T (u, p) n = 0 on Γ h for i = 1, 2. We define F(ψ) := ν( u, ψ) + (u ψ, u) + (u, 1 ψ). Then F defines a bounded linear functional on D 1,6/5 0 (Ω h ), because for ψ D 1,6/5 0 (Ω) we have ( u, ψ) u L 2 (Ω) ψ L 6/5 (Ω) (u ψ, u) u 2 L 6 (Ω) ψ L 6/5 (Ω) (u, 1 ψ) u L 6 (Ω) ψ L 6/5 (Ω). 19

25 3 Existence on a fixed domain The domain Ω satisfies the cone condition, and so by [Gal11, Remark III.3.14] the problem [Gal11, (III.3.65)] is solvable in Ω h. With [Gal11, Theorem III.5.3] there follows the existence of a uniquely determined p L 6 (Ω h ) such that F(ψ) = p ψ for all ψ D 1,6/5 0 (Ω). Ω 20

26 4 Transformation to a reference domain In this chapter we define a mapping from the plane reference domain S to Ω h and the inverse mapping from Ω h to S. We will need these mappings for the proof of regularity and uniqueness for the solution of the Navier-Stokes equations. It is important, that the part of Ω h with Dirichlet boundary conditions is mapped on the appropriate part of S and likewise for the mixed boundary conditions. In addition we chose the mappings in a way that we can maintain the right angle on the contact line between the surface of the Newtonian fluid and the boundary of the body. As the body has a C 2 -boundary and the surface of the fluid is a graph over R 2 \ B of class C 2, the mapping can be chosen to have no singularities. As we are more interested in the behaviour of the fluid at large distances from the body, than on the effect of the body shape on the fluid flow, we define the mapping piecewisely for small and for large values of x. In our calculations we can then easily estimate the mapping for large x. x 3 ψ x 3 Γ h Γ B (x 1, x 2 ) Γ 1 Γ 0 (x 1, x 2 ) φ Figure 4.1: Ω h and the reference domain S Close to the body the mapping φ : S Ω h is defined by first mapping the unit ball B 1 (0) onto B and then mapping the plane {x 3 = 0} \ B onto the free boundary of the fluid. We have r r B (ϕ, θ) φ (r, ϕ, θ) := ϕ θ ( π γ(r r B(ϕ, θ), ϕ) ) 21

27 4 Transformation to a reference domain in spherical coordinates, where γ(r, ϕ) is the angle between the (x 1, x 2 )-plane and a ray with horizontal angle ϕ that cuts the surface of the fluid at length r, and r B (ϕ, θ) is the distance of B to the origin at the horizontal and vertical angles ϕ and θ. In Cartesian coordinates we use the variables x S and x Ω h. Between the function h(x 1, x 2 ), that describes the surface of the fluid and the angle γ we have the following relation: ( ) h( x1, x 2 ) γ(r, ϕ) = arcsin r where x 1 = r cos(γ(r, ϕ)) cos(ϕ), x 2 = r cos(γ(r, ϕ)) sin(ϕ). The planar domain R 2 {0} \ B 1 (0) is mapped onto the free part of the boundary, whereas the boundary of the unit sphere is mapped onto the boundary of the moving body B. For large x there exists a smooth continuation of φ to the following mapping, which we denote also by φ where η is a cut-off function with for some δ > 0. φ( x 1, x 2, x 3 ) = ( x 1, x 2, x 3 + h( x 1, x 2 ) η( x 3 )), η = { 1 for x3 > δ 0 for x 3 < 2δ We consider the behaviour of the mapping for large x whenever we have to estimate the velocity and pressure on the whole exterior domain E or on S. In these cases we multiply with a constant to clarify that we have different, but bounded integrals on a large ball around the moving body, that can be estimated by the integrals over the rest of the domain. For the Jacobian matrix of φ we get φ = h η 2 h η 1 + h η and hence det φ = 1 + h η. 22

28 4 Transformation to a reference domain We can choose η small enough to ensure, that h η 1 and so we have det φ 0. The second derivatives of φ read as follows: ij φ k = 0 for k = 1, 2 ij φ 3 = i j h η for i, j = 1, 2 3i φ 3 = i h η for i = 1, 2 33 φ 3 = h η. As det φ 0 for all x S there exists the inverse mapping ψ : Ω h S and we obtain: ψ(x 1, x 2, x 3 ) = (x 1, x 2, x 3 h(x 1, x 2 )η(x 3 )), with a suitable cut-off function η, ψ = 0 1 0, 1 hη 2 hη 1 + hη det ψ = 1 + hη, ij ψ k = 0 for k = 1, 2 ij ψ 3 = i j h for i, j = 1, 2. 3i ψ 3 = i hη for i = 1, 2 33 ψ 3 = hη. The terms occurring in the Navier-Stokes equations are transformed in the following way (see [Sim05] and [Bem87]): The velocity u : Ω R 3 is transformed to for the pressure p : Ω R we have ũ( x) := [det ψ(φ( x))] 1 ψ(φ( x))u(φ( x)), p( x) := p(φ( x)) and the external force f : Ω R 3 on the right hand side changes into f( x) := f(φ( x)). Then the transformed Navier-Stokes equations read as follows ([Bem87, (25)-(28)]): Lũ + A p + N(ũ, ũ) = Ã f ũ = 0 23

29 4 Transformation to a reference domain in the flat domain S := R 3 \ B 1 (0), with Lũ := v ( (A ũ) + B ũ + Cũ) N(ũ, u) := a 1 ũ u + Bũũ. The coefficients in L and N depend on the mappings φ and ψ and its derivatives: a := (det ψ) 1, (4.1) ( ) A := ψ( ψ) T ψi ψ n j = = (a ij ) n x k x i,j=1, (4.2) k i,j=1 A := a A = a (a ij ) n ij=1 ( ), (4.3) n ψi à := a ψ = a, (4.4) x j i,j=1 ( ( ) B := (b ikl ) n i,k,l=1 = ank δ il 2 ψ k 2a ψ i ψ k x n x s x s x r x s x s As ( B := ( b ikl ) n i,k,l=1 = ψi φ m x s x k x m ( C := (c i j) n ψi 2 i,j=1 = a x s x r x r for x and for x we obtain ( a 1 φ s x l ( a 1 φ s x j )) n )) n φ( x) = x + O(h), i φ( x) = 1 + O(h), i j φ( x) = O( h) ψ(x) = x + O(h), i ψ(x) = 1 + O(h), i j ψ(x) = O(h) ( a 1 φ )) n r, x l i,k,l=1 (4.5), (4.6) i,k,l=1. (4.7) i,j=1 a = 1 + O(h), A, A, à = 1 + O(h), A, B, B, C = O(h). 24

30 5 Regularity and Uniqueness To show regularity and uniqueness of the solution to the Navier-Stokes equations in the domain Ω h we use the following approach: First we map the domain Ω h on a flat domain S, where the moving body is mapped onto a ball of radius 1. We transform the terms in the Navier-Stokes equations with the help of Piola s identity to get a solenoidal solution to the transformed Navier-Stokes equations on the domain S. We want to use a reflection argument to prove, that the solution coincides on S with the solution to the transformed Navier-Stokes equations on the exterior domain S S = R 3 \ B 1 (0) =: E. This is the case if we can show uniqueness of the solution to the transformed Navier-Stokes equations in the domain E. Therefore we establish a L 3 -estimate for the solution of the transformed equations in the exterior domain based on the same theorem for the Navier-Stokes equations (see [Gal11, Lemma X.6.1]) and with the help of this estimate we can show uniqueness of the solution to the transformed equations in E. transf ormation ref lection x 3 x 3 x 3 Γ h Ω h (x 1, x 2 ) S Γ 0 (x 1, x 2 ) E (x 1, x 2 ) Figure 5.1: The domains Ω h, S and E Theorem 5.1. Let (v, p) D 1,2 (E) L 6 (E) be a weak solution to the transformed Navier-Stokes equations in E with a right hand side f D 1,2 0 (E). Then u := v v L p (E) D 1,s (E) for all p > 2, s > 4 3 and p Lr (E) D 1,t (E) for r > 3 2, t > 1. Proof. If we can show, that u is a solution to the Navier-Stokes equations in E with a right hand side of class L q (E) for all q > 1, we can use [Gal11, Lemma X.6.1] and [Gal11, Theorem X.6.4] to show the desired summability properties of u and p. 25

31 5 Regularity and Uniqueness Therefore we even set q = 1 in [Gal11, Lemma X.6.1] to obtain u L 2q 2 q (E) from [Gal11, (X.6.5)] for all q > 1. The map φ : S Ω is regular enough to assume that a := det φ x we can write u as a solution to the Navier-Stokes equations 0. Therefore ν u + (u )u + p =A 1 Ãf + (1 A 1 A) p + (1 A 1 a 1 )u u A 1 Bu + νa 1 A u + νa 1 B u + A 1 Cu, with A 1 = 1 + O(h) a 1 = 1 + O(h) and a = 1 + O(h), A, A, Ã = 1 + O(h), A, B, B, C = O(h). We have to estimate the right hand side of this equation in L q (E) for q = 1. The Oseen term produced by shifting the solution is here put into the right hand side term f := 1 v + f with a possible external force f L 2 (Ω h ) of compact support. We have 1 A 1 A = 1 A 1 Aa = 1 a1 and therefore ( (1 A 1 A) p ) dx E ( (1 A 1 A)p ) dx E { x 3 <2δ} + (1 A 1 A)p n dσ B h 6 p L 5 (E { x3 <2δ}) L 6 (E { x 3 <2δ}) + (1 A 1 A)p n dσ. The first integral is bounded because B h L s (E { x 3 <2δ}) < for all s > 1. We now that (u, p) is a solution to the Navier-Stokes equations in E. And so (u, p) solves the Navier-Stokes equations in a bounded domain M E with B M, for 26

32 5 Regularity and Uniqueness example M := B 3 (0) with boundary data u M W 1 1/2,2 ( M). We know from [Gal11, Theorem IX.5.1] that p W 1,2 (M). Then p has a trace in L 2 ( (B) and as 1 A 1 A is also bounded on the boundary of B, there holds (1 A 1 A)p n dσ <. B For the other terms on the right hand side of the Navier-Stokes equations we obtain ( ( E E ( (1 A 1 a 1 )u u ) q dx ) 1/q u L 6 (E) u L 2 (E) 1 A 1 a 1 L 3q 3 2q (E) ( E c h L 3 2q 3q L (E { x 3 <2δ}) u 6 (E) u L 2 (E) ( ) ) q 1/q A 1 Bu u dx A 1 B L 3 q 3q (E) u 2 L 3 (E) h L 3q 3 q (E { x 3 <2δ}) u 2 L 6 (E) (( A 1 A + A 1 B ) u ) q dx ) 1/q A 1 A + A 1 B L 2q 2 q (E) u L 2 (E) ( E c h L 2q 2 q (E { x 3 <2δ}) u L 2 (E) ( A 1 Cu ) q dx ) 1/q u L 6 (E) A 1 C L 6q 6 q (E) c h L 6 q 6q u L (E { x 3 <2δ}) 6 (E). As we get which is finite if ( h = O x 3/2) and h = O ( x 5/2) h s 1 L s 1 (E { x 3 <2δ}) = (E { x 3 <2δ}) (E { x 3 <2δ}) h s 1 dx x ( 3/2)s 1 dx 2δ r ( 3/2)s1+1 dr 1 2δ [ r ] ( 3/2)s 1+2 ( 3/2)s < 0 s 1 > Therefore the L q -Norm of h and h is bounded if q is large enough. We obtain h L s 1 (E { x3 <2δ}) < for all s 1 >

33 5 Regularity and Uniqueness and in the same way h L s 2 (E { x3 <2δ}) < for all s 2 > 1. We still have to check if the exponents in the upper estimates are large enough for q = 1: 2q 2 q = q 3 2q = q 3 q = q 6 q = = = = = 5 6 1, where we can use the estimate for h in the last line. We can now apply Lemma X.6.1 in [Gal11] to obtain that u L p (E) D 1,s (E) for all p > 2, s > 4 3 and p Lr (E) D 1,t (E) for r > 3 2, t > 1. With the help of the L 3 -estimate that we obtain with this Lemma, we are now able to show uniqueness of the solution to the transformed Navier-Stokes equations in the exterior domain E. Lemma 5.2. Let (v, p) D 1,2 (E) L 6 (E) be a weak solution to the transformed Navier-Stokes equations in E. Then v is unique. Proof. The uniqueness of v follows at once, if we apply [Gal11, Theorem X.3.1]. The uniqueness in the exterior domain is necessary for the reflection argument that we want to use. We are now able to show, that a solution to the transformed Navier- Stokes equations on S corresponds on S to a solution of the Navier-Stokes equations on E, where the right hand side is symmetric to the x -plane and consists of the terms that occur in the transformation. Lemma 5.3. If Ω is symmetric in x 3 -direction, and for f D 1,2 0 (Ω) there holds f i (x 1, x 2, x 3 ) = f i (x 1, x 2, x 3 ), for i = 1, 2 and f 3 (x 1, x 2, x 3 ) = f 3 (x 1, x 2, x 3 ), 28

34 5 Regularity and Uniqueness then for the unique solution v Dσ 1,2 (Ω) to the Navier-Stokes equations in Ω to this right hand side there also holds the symmetry property v i (x 1, x 2, x 3 ) = v i (x 1, x 2, x 3 ), for i = 1, 2 and v 3 (x 1, x 2, x 3 ) = v 3 (x 1, x 2, x 3 ). Proof. We fix one point x in Ω and check, if v i (x 1, x 2, x 3 ) = v i (x 1, x 2, x 3 ) =: u i (x 1, x 2, x 3 ) for i = 1, 2, v 3 (x 1, x 2, x 3 ) = v 3 (x 1, x 2, x 3 ) =: u 3 (x 1, x 2, x 3 ). We define p(x 1, x 2, x 3 ) := π(x 1, x 2, x 3 ), then we have: ν v 1 (x 1, x 2, x 3 ) + v 1 (x 1, x 2, x 3 ) 1 v 1 (x 1, x 2, x 3 ) + v 2 (x 1, x 2, x 3 ) 2 v 1 (x 1, x 2, x 3 ) + v 3 (x 1, x 2, x 3 ) 3 v 1 (x 1, x 2, x 3 ) + 1 p(x 1, x 2, x 3 ) = ν v 1 (x 1, x 2, x 3 ) + v 1 (x 1, x 2, x 3 ) 1 v 1 (x 1, x 2, x 3 ) + v 2 (x 1, x 2, x 3 ) 2 v 1 (x 1, x 2, x 3 ) + v 3 (x 1, x 2, x 3 ) 3 v 1 (x 1, x 2, x 3 ) + 1 p(x 1, x 2, x 3 ) = ν u 1 (x 1, x 2, x 3 ) + u 1 (x 1, x 2, x 3 ) 1 u 1 (x 1, x 2, x 3 ) + u 2 (x 1, x 2, x 3 ) 2 u 1 (x 1, x 2, x 3 ) u 3 (x 1, x 2, x 3 )( 1) 3 u 1 (x 1, x 2, x 3 ) + 1 π(x 1, x 2, x 3 ). 29

35 5 Regularity and Uniqueness The same holds for the second equation. For the third equation we obtain ν v 3 (x 1, x 2, x 3 ) + v 1 (x 1, x 2, x 3 ) 1 v 3 (x 1, x 2, x 3 ) + v 2 (x 1, x 2, x 3 ) 2 v 3 (x 1, x 2, x 3 ) + v 3 (x 1, x 2, x 3 ) 3 v 3 (x 1, x 2, x 3 ) + 3 p(x 1, x 2, x 3 ) = ν v 3 (x 1, x 2, x 3 ) v 1 (x 1, x 2, x 3 ) 1 v 3 (x 1, x 2, x 3 ) v 2 (x 1, x 2, x 3 ) 2 v 3 (x 1, x 2, x 3 ) v 3 (x 1, x 2, x 3 ) 3 v 3 (x 1, x 2, x 3 ) 1 p(x 1, x 2, x 3 ) = ν u 3 (x 1, x 2, x 3 ) + u 1 (x 1, x 2, x 3 ) 1 u 3 (x 1, x 2, x 3 ) + u 2 (x 1, x 2, x 3 ) 2 u 3 (x 1, x 2, x 3 ) + u 3 (x 1, x 2, x 3 )( 1) 3 ( 1)u 3 (x 1, x 2, x 3 ) + 3 π(x 1, x 2, x 3 ). and because of the uniqueness of the solution we obtain v i (x 1, x 2, x 3 ) = v i (x 1, x 2, x 3 ) for i = 1, 2, v 3 (x 1, x 2, x 3 ) = v 3 (x 1, x 2, x 3 ). Corollary 5.4. Let (v, p) D 1,2 (E) L 6 (E) be a weak solution to the transformed Navier-Stokes equations in E. Then (v, p) corresponds on S to the solution of the transformed Navier-Stokes equations with mixed boundary conditions on S. Proof. We have to show, that v and p satisfy the boundary conditions required for the free boundary value problem in S, i.e. v = 0 on Γ B v n = 0 on Γ 0 τ (i) T (v, p) n = 0 on Γ 0 for i = 1, 2 v (1, 0, 0) T for x. Clearly the first and the last condition are fulfilled because of the corresponding conditions on E. The other two conditions reduce to simpler expressions caused by the shape of the domain S. As the outer normal on Γ 0 is just the vertical unit vector (0, 0, 1) we obtain the homogeneous Dirichlet boundary condition v n = 0 on Γ 0 v 3 = 0 on Γ 0. 30

36 5 Regularity and Uniqueness If we multiply the stress tensor on Γ 0 with the outer normal n we just get τ (i) T (v, p) n = (δ ij p + i v j + j v i )δ j3 = δ i3 p + i v v i. The tangential vectors are (1, 0, 0) and (0, 1, 0) and so we get τ (i) T (v, p) n = i v v i for i = 1, 2. We now have to take into account, that from the Dirichlet condition v 3 0 on Γ 0 and so especially the derivatives in tangential directions vanish on the flat boundary. In the end we have 3 v i = 0 on Γ 0 for i = 1, 2. We have to show that these conditions hold for the solution to the Navier-Stokes equations in E. As the domain is symmetric in x 3 -direction we can use Lemma 5.3 to obtain On Γ 0, where x 3 = 0, this leads to v 3 (x, x 3 ) = v 3 (x, x 3 ) v i (x, x 3 ) = v i (x, x 3 ). v 3 (x, 0) = 0 and 3 v i (x, x 3 ) = 3 v i (x, x 3 ) = 0. Now we can establish regularity of the solution to the transformed Navier-Stokes equations in E to conclude the same regularity properties for the solution in S and thus on the non-flat domain Ω h. Lemma 5.5. Let (v, p) D 1,2 (E) L 2 loc (E) be a weak solution to the transformed Navier-Stokes equations in E. Then v is regular. Corollary 5.6. Let (v, p) D 1,2 (S) L 2 loc (S) be a weak solution to the transformed Navier-Stokes equations in S. Then v is unique and regular up to the boundary Γ h. Proof. Regularity of the weak solution up to the boundary follows with the same reflection argument as above and [Gal11, Theorem X.1.1], as the boundary Γ h is a part of the interior of E. Corollary 5.7. Let (v, p) D 1,2 (Ω h ) L 2 loc (Ω h) be a weak solution to the Navier- Stokes equations in Ω h. Then v is unique and regular. 31

37 5 Regularity and Uniqueness Proof. If v and p are a solution to the Navier-Stokes equations in Ω h, then and ṽ( x) := [det ψ(φ( x))] 1 ψ(φ( x))v(φ( x)), p( x) := p(φ( x)) are a solution to the transformed Navier-Stokes equations in S, where φ and ψ are the transform of the domain and its inverse. We re-transform the functions to obtain and v(x) = [det φ(ψ(x))] 1 φ(ψ(x))ṽ(ψ(x)) p(x) := p(ψ(x)). As ṽ and p are unique and regular, the same holds for v and p as long as h is regular enough. But this follows immediately because h depends continuously on v and p (see [BGK11]). 32

38 6 Asymptotic behaviour of the solution In this chapter we show, that the asymptotic behaviour of the solution to the free boundary value problem coincides with the asymptotic behaviour of the solution in an exterior domain in the way that the shape of the wake region behind the floating body is the same as in the exterior domain, only perturbed by a function that depends on the surface of the domain. Especially we want to show, that the (two dimensional) wake on the surface of the fluid has the shape of a parabola, perturbed only by the deviation of the graph of h from a plane. First we give uniform estimates for u, u in Ω h and afterwards we consider the asymptotic behaviour inside and outside the wake region behind the body. In the second part of the chapter we prove a uniform estimate for the function h, that describes the surface of the fluid. As we use the estimate for the velocity to analyse the asymptotic behaviour of h, we can show a better estimate for the decay of the function h before, than behind the moving body. 6.1 Decay of the velocity We start by proving an asymptotic representation formula for the solution to the Navier-Stokes equations. In the following we use the notation x S and x Ω h. Note that for large values of x we have x = x. The following representation formula directly gives us a uniform estimate for u, but we can also use it to prove a better rate of decay outside the wake region. Lemma 6.1. Let v D 1,2 σ,γ (Ω h) be a solution to the free boundary value problem for the Navier-Stokes equations, with a surface function h(x). For h there holds h x 3 2 for large x, h x 5 2. Then we have the following asymptotic representation for u := v v as x : u k (x) = [det ψ(x)] k φ j (ψ(x)) ( ) M i E ij (ψ(x)) + R E ij (ψ(x) ỹ)ũ l (ỹ) l ũ i (ỹ) dỹ + s j (x), E 33

39 6 Asymptotic behaviour of the solution where ψ(x) = O( x + h(x)), φ( x) = O( x + h( x)) M i = R T il (ũ, p)n l + Rδ 1l ũ i (ỹ)n l dσỹ, B ũ = O( u ), p = O( p ) ( s j (x) = O ψ(x) 3/2). Proof. Let φ : S Ω h be the mapping from the flat domain S onto Ω h and ψ : Ω h S the inverse mapping. We choose the transform in a way, that φ = 0 for x 3 < 2δ, for example for large x with φ( x) = ( x 1, x 2, x 3 + h( x )η( x 3 )) η( x 3 ) := { 1 for x3 > δ 0 for x 3 < 2δ for some δ > 0. For the construction and properties of this mapping see Chapter 4. Then ũ( x) := [det ψ(φ( x))] 1 ψ(φ( x))u(φ( x)) is a solution to the Navier-Stokes equations on S with the right hand side F = A 1 Ã f + (1 A 1 A) p + (1 A 1 a 1 )ũ ũ A 1 Bũ + νa 1 A ũ + νa 1 B ũ + A 1 Cũ where a, A, A, Ã, B, B, C are defined in (4.1)-(4.7) and supp (F ) { x 3 2δ}. We extend this F symmetrically on E := R 3 \ B, where B := B 1 (0). Then we solve the Navier-Stokes equations in E with the new right hand side. Because of the uniqueness and the symmetry of the solution we find that it corresponds to ũ on S. We therefore have the following representation formula for x E and therefore especially for x S (see [Gal11, (X.5.32)]) ũ j ( x) = R E ij ( x ỹ)f i (ỹ) dỹ + R E ij ( x ỹ)ũ l (ỹ) l ũ i (ỹ) dỹ E E + [ũ i (ỹ)t il (w j, e j )( x ỹ) E ij ( x ỹ)t il (ũ, p)(ỹ) B Rũ i (ỹ)e ij ( x ỹ)δ 1l ] n l dσỹ where R is the Reynolds number, E = E ij ( x ỹ) is the Oseen fundamental solution (see [Gal11, VII.3.1]) and w j, e j are the columns of E and the corresponding pressure respectively. 34

40 6 Asymptotic behaviour of the solution Note that the representation formula also holds on the free boundary of the domain, which makes sense, because we have already shown that the solution is regular up to the boundary. With x = φ( x) we have in Ω h : [ u k (x) = [det ψ(x)] k φ j (ψ(x)) R E ij (ψ(x) ỹ)f i (ỹ) dỹ E + R E ij (ψ(x) ỹ)ũ l (ỹ) l ũ i (ỹ) dỹ E + [ũ i (ỹ)t il (w j, e j )(ψ(x) ỹ) E ij (ψ(x) ỹ)t il (ũ, p)(ỹ) B ] Rũ i (ỹ)e ij (ψ(x) ỹ)δ 1l ] n l dσỹ. We want to use the same method as in [Gal11, Theorem V.3.2] to show the asymptotic representation formula. By adding and subtracting the term ( ) E ij (ψ(x)) [T il (ũ, p)(ỹ) + Rũ i (ỹ)δ 1l ] n l dσỹ B and estimating the resulting integrals we reduce the asymptotic behaviour of u to the asymptotic structure of the Oseen fundamental solution perturbed by functions depending on the surface h of the fluid. We obtain [ u k (x) = [det ψ(x)] k φ j (ψ(x)) R E ij (ψ(x) ỹ)f i (ỹ) dỹ E + R E ij (ψ(x) ỹ)ũ l (ỹ) l ũ i (ỹ) dỹ E + ũ i (ỹ)t il (w j, e j )(ψ(x) ỹ)n l dσỹ B E ij (ψ(x)) [T il (ũ, p)(ỹ) + Rũ i (ỹ)δ 1l ] n l dσỹ B (E ij (ψ(x) ỹ) E ij (ψ(x))) (T il (ũ, p)(ỹ) + Rũ i (ỹ)δ 1l ) n l dσỹ B We consider the integrals separately. First we want to estimate the integral E E ij(ψ(x) ỹ)f i (ỹ) dỹ. Unfortunately the support of F is not bounded, but as F can be estimated for large ỹ by the surface function h we can divide the domain of integration such that in one part of the domain the asymptotic structure of the Oseen fundamental solution and in the ]. 35

State of Stress at Point

State of Stress at Point State of Stress at Point Einstein Notation The basic idea of Einstein notation is that a covector and a vector can form a scalar: This is typically written as an explicit sum: According to this convention,

More information

Differential Relations for Fluid Flow. Acceleration field of a fluid. The differential equation of mass conservation

Differential Relations for Fluid Flow. Acceleration field of a fluid. The differential equation of mass conservation Differential Relations for Fluid Flow In this approach, we apply our four basic conservation laws to an infinitesimally small control volume. The differential approach provides point by point details of

More information

Some stability results of parameter identification in a jump diffusion model

Some stability results of parameter identification in a jump diffusion model Some stability results of parameter identification in a jump diffusion model D. Düvelmeyer Technische Universität Chemnitz, Fakultät für Mathematik, 09107 Chemnitz, Germany Abstract In this paper we discuss

More information

Shape Optimization Problems over Classes of Convex Domains

Shape Optimization Problems over Classes of Convex Domains Shape Optimization Problems over Classes of Convex Domains Giuseppe BUTTAZZO Dipartimento di Matematica Via Buonarroti, 2 56127 PISA ITALY e-mail: buttazzo@sab.sns.it Paolo GUASONI Scuola Normale Superiore

More information

Høgskolen i Narvik Sivilingeniørutdanningen STE6237 ELEMENTMETODER. Oppgaver

Høgskolen i Narvik Sivilingeniørutdanningen STE6237 ELEMENTMETODER. Oppgaver Høgskolen i Narvik Sivilingeniørutdanningen STE637 ELEMENTMETODER Oppgaver Klasse: 4.ID, 4.IT Ekstern Professor: Gregory A. Chechkin e-mail: chechkin@mech.math.msu.su Narvik 6 PART I Task. Consider two-point

More information

A QUICK GUIDE TO THE FORMULAS OF MULTIVARIABLE CALCULUS

A QUICK GUIDE TO THE FORMULAS OF MULTIVARIABLE CALCULUS A QUIK GUIDE TO THE FOMULAS OF MULTIVAIABLE ALULUS ontents 1. Analytic Geometry 2 1.1. Definition of a Vector 2 1.2. Scalar Product 2 1.3. Properties of the Scalar Product 2 1.4. Length and Unit Vectors

More information

Reference: Introduction to Partial Differential Equations by G. Folland, 1995, Chap. 3.

Reference: Introduction to Partial Differential Equations by G. Folland, 1995, Chap. 3. 5 Potential Theory Reference: Introduction to Partial Differential Equations by G. Folland, 995, Chap. 3. 5. Problems of Interest. In what follows, we consider Ω an open, bounded subset of R n with C 2

More information

8.1 Examples, definitions, and basic properties

8.1 Examples, definitions, and basic properties 8 De Rham cohomology Last updated: May 21, 211. 8.1 Examples, definitions, and basic properties A k-form ω Ω k (M) is closed if dω =. It is exact if there is a (k 1)-form σ Ω k 1 (M) such that dσ = ω.

More information

Geometric evolution equations with triple junctions. junctions in higher dimensions

Geometric evolution equations with triple junctions. junctions in higher dimensions Geometric evolution equations with triple junctions in higher dimensions University of Regensburg joint work with and Daniel Depner (University of Regensburg) Yoshihito Kohsaka (Muroran IT) February 2014

More information

Physics of the Atmosphere I

Physics of the Atmosphere I Physics of the Atmosphere I WS 2008/09 Ulrich Platt Institut f. Umweltphysik R. 424 Ulrich.Platt@iup.uni-heidelberg.de heidelberg.de Last week The conservation of mass implies the continuity equation:

More information

An Introduction to the Navier-Stokes Initial-Boundary Value Problem

An Introduction to the Navier-Stokes Initial-Boundary Value Problem An Introduction to the Navier-Stokes Initial-Boundary Value Problem Giovanni P. Galdi Department of Mechanical Engineering University of Pittsburgh, USA Rechts auf zwei hohen Felsen befinden sich Schlösser,

More information

Optimal boundary control of quasilinear elliptic partial differential equations: theory and numerical analysis

Optimal boundary control of quasilinear elliptic partial differential equations: theory and numerical analysis Optimal boundary control of quasilinear elliptic partial differential equations: theory and numerical analysis vorgelegt von Dipl.-Math. Vili Dhamo von der Fakultät II - Mathematik und Naturwissenschaften

More information

1. Fluids Mechanics and Fluid Properties. 1.1 Objectives of this section. 1.2 Fluids

1. Fluids Mechanics and Fluid Properties. 1.1 Objectives of this section. 1.2 Fluids 1. Fluids Mechanics and Fluid Properties What is fluid mechanics? As its name suggests it is the branch of applied mechanics concerned with the statics and dynamics of fluids - both liquids and gases.

More information

RANDOM INTERVAL HOMEOMORPHISMS. MICHA L MISIUREWICZ Indiana University Purdue University Indianapolis

RANDOM INTERVAL HOMEOMORPHISMS. MICHA L MISIUREWICZ Indiana University Purdue University Indianapolis RANDOM INTERVAL HOMEOMORPHISMS MICHA L MISIUREWICZ Indiana University Purdue University Indianapolis This is a joint work with Lluís Alsedà Motivation: A talk by Yulij Ilyashenko. Two interval maps, applied

More information

Fluid Mechanics: Static s Kinematics Dynamics Fluid

Fluid Mechanics: Static s Kinematics Dynamics Fluid Fluid Mechanics: Fluid mechanics may be defined as that branch of engineering science that deals with the behavior of fluid under the condition of rest and motion Fluid mechanics may be divided into three

More information

Solutions to Homework 10

Solutions to Homework 10 Solutions to Homework 1 Section 7., exercise # 1 (b,d): (b) Compute the value of R f dv, where f(x, y) = y/x and R = [1, 3] [, 4]. Solution: Since f is continuous over R, f is integrable over R. Let x

More information

EXAMPLE: Water Flow in a Pipe

EXAMPLE: Water Flow in a Pipe EXAMPLE: Water Flow in a Pipe P 1 > P 2 Velocity profile is parabolic (we will learn why it is parabolic later, but since friction comes from walls the shape is intuitive) The pressure drops linearly along

More information

Scalars, Vectors and Tensors

Scalars, Vectors and Tensors Scalars, Vectors and Tensors A scalar is a physical quantity that it represented by a dimensional number at a particular point in space and time. Examples are hydrostatic pressure and temperature. A vector

More information

1. Introduction. O. MALI, A. MUZALEVSKIY, and D. PAULY

1. Introduction. O. MALI, A. MUZALEVSKIY, and D. PAULY Russ. J. Numer. Anal. Math. Modelling, Vol. 28, No. 6, pp. 577 596 (2013) DOI 10.1515/ rnam-2013-0032 c de Gruyter 2013 Conforming and non-conforming functional a posteriori error estimates for elliptic

More information

1 The basic equations of fluid dynamics

1 The basic equations of fluid dynamics 1 The basic equations of fluid dynamics The main task in fluid dynamics is to find the velocity field describing the flow in a given domain. To do this, one uses the basic equations of fluid flow, which

More information

Class Meeting # 1: Introduction to PDEs

Class Meeting # 1: Introduction to PDEs MATH 18.152 COURSE NOTES - CLASS MEETING # 1 18.152 Introduction to PDEs, Fall 2011 Professor: Jared Speck Class Meeting # 1: Introduction to PDEs 1. What is a PDE? We will be studying functions u = u(x

More information

Midterm Solutions. mvr = ω f (I wheel + I bullet ) = ω f 2 MR2 + mr 2 ) ω f = v R. 1 + M 2m

Midterm Solutions. mvr = ω f (I wheel + I bullet ) = ω f 2 MR2 + mr 2 ) ω f = v R. 1 + M 2m Midterm Solutions I) A bullet of mass m moving at horizontal velocity v strikes and sticks to the rim of a wheel a solid disc) of mass M, radius R, anchored at its center but free to rotate i) Which of

More information

Lecture L3 - Vectors, Matrices and Coordinate Transformations

Lecture L3 - Vectors, Matrices and Coordinate Transformations S. Widnall 16.07 Dynamics Fall 2009 Lecture notes based on J. Peraire Version 2.0 Lecture L3 - Vectors, Matrices and Coordinate Transformations By using vectors and defining appropriate operations between

More information

The positive integers other than 1 may be divided into two classes, prime numbers (such as 2, 3, 5, 7) which do not admit of resolution into smaller

The positive integers other than 1 may be divided into two classes, prime numbers (such as 2, 3, 5, 7) which do not admit of resolution into smaller The positive integers other than may be divided into two classes, prime numbers (such as, 3, 5, 7) which do not admit of resolution into smaller factors, and composite numbers (such as 4, 6, 8, 9) which

More information

On the Lifetime of a Conditioned Brownian Motion

On the Lifetime of a Conditioned Brownian Motion On the Lifetime of a Conditioned Brownian Motion Inaugural-Dissertation zur Erlangung des Doktorgrades der Mathematisch-Naturwissenschaftlichen Fakultät der Universität zu Köln vorgelegt von Matthias Erven

More information

Chapter 2. Parameterized Curves in R 3

Chapter 2. Parameterized Curves in R 3 Chapter 2. Parameterized Curves in R 3 Def. A smooth curve in R 3 is a smooth map σ : (a, b) R 3. For each t (a, b), σ(t) R 3. As t increases from a to b, σ(t) traces out a curve in R 3. In terms of components,

More information

The Math Circle, Spring 2004

The Math Circle, Spring 2004 The Math Circle, Spring 2004 (Talks by Gordon Ritter) What is Non-Euclidean Geometry? Most geometries on the plane R 2 are non-euclidean. Let s denote arc length. Then Euclidean geometry arises from the

More information

FUNCTIONAL ANALYSIS LECTURE NOTES: QUOTIENT SPACES

FUNCTIONAL ANALYSIS LECTURE NOTES: QUOTIENT SPACES FUNCTIONAL ANALYSIS LECTURE NOTES: QUOTIENT SPACES CHRISTOPHER HEIL 1. Cosets and the Quotient Space Any vector space is an abelian group under the operation of vector addition. So, if you are have studied

More information

Fluids and Solids: Fundamentals

Fluids and Solids: Fundamentals Fluids and Solids: Fundamentals We normally recognize three states of matter: solid; liquid and gas. However, liquid and gas are both fluids: in contrast to solids they lack the ability to resist deformation.

More information

The Navier Stokes Equations

The Navier Stokes Equations 1 The Navier Stokes Equations Remark 1.1. Basic principles and variables. The basic equations of fluid dynamics are called Navier Stokes equations. In the case of an isothermal flow, a flow at constant

More information

Metric Spaces. Chapter 1

Metric Spaces. Chapter 1 Chapter 1 Metric Spaces Many of the arguments you have seen in several variable calculus are almost identical to the corresponding arguments in one variable calculus, especially arguments concerning convergence

More information

Stokes flow. Chapter 7

Stokes flow. Chapter 7 Chapter 7 Stokes flow We have seen in section 6.3 that the dimensionless form of the Navier-Stokes equations for a Newtonian viscous fluid of constant density and constant viscosity is, now dropping the

More information

Roughness effect on the Neumann boundary condition

Roughness effect on the Neumann boundary condition Roughness effect on the Neumann boundary condition Laurent Chupin 1 Abstract We study the effect of a periodic roughness on a Neumann boundary condition. We show that, as in the case of a Dirichlet boundary

More information

11.1. Objectives. Component Form of a Vector. Component Form of a Vector. Component Form of a Vector. Vectors and the Geometry of Space

11.1. Objectives. Component Form of a Vector. Component Form of a Vector. Component Form of a Vector. Vectors and the Geometry of Space 11 Vectors and the Geometry of Space 11.1 Vectors in the Plane Copyright Cengage Learning. All rights reserved. Copyright Cengage Learning. All rights reserved. 2 Objectives! Write the component form of

More information

Smooth functions statistics

Smooth functions statistics Smooth functions statistics V. I. rnold To describe the topological structure of a real smooth function one associates to it the graph, formed by the topological variety, whose points are the connected

More information

THE EIGENVALUES OF THE LAPLACIAN ON DOMAINS WITH SMALL SLITS

THE EIGENVALUES OF THE LAPLACIAN ON DOMAINS WITH SMALL SLITS THE EIGENVALUES OF THE LAPLACIAN ON DOMAINS WITH SMALL SLITS LUC HILLAIRET AND CHRIS JUDGE Abstract. We introduce a small slit into a planar domain and study the resulting effect upon the eigenvalues of

More information

Modern Optimization Methods for Big Data Problems MATH11146 The University of Edinburgh

Modern Optimization Methods for Big Data Problems MATH11146 The University of Edinburgh Modern Optimization Methods for Big Data Problems MATH11146 The University of Edinburgh Peter Richtárik Week 3 Randomized Coordinate Descent With Arbitrary Sampling January 27, 2016 1 / 30 The Problem

More information

AB2.5: Surfaces and Surface Integrals. Divergence Theorem of Gauss

AB2.5: Surfaces and Surface Integrals. Divergence Theorem of Gauss AB2.5: urfaces and urface Integrals. Divergence heorem of Gauss epresentations of surfaces or epresentation of a surface as projections on the xy- and xz-planes, etc. are For example, z = f(x, y), x =

More information

When the fluid velocity is zero, called the hydrostatic condition, the pressure variation is due only to the weight of the fluid.

When the fluid velocity is zero, called the hydrostatic condition, the pressure variation is due only to the weight of the fluid. Fluid Statics When the fluid velocity is zero, called the hydrostatic condition, the pressure variation is due only to the weight of the fluid. Consider a small wedge of fluid at rest of size Δx, Δz, Δs

More information

Computer Graphics. Geometric Modeling. Page 1. Copyright Gotsman, Elber, Barequet, Karni, Sheffer Computer Science - Technion. An Example.

Computer Graphics. Geometric Modeling. Page 1. Copyright Gotsman, Elber, Barequet, Karni, Sheffer Computer Science - Technion. An Example. An Example 2 3 4 Outline Objective: Develop methods and algorithms to mathematically model shape of real world objects Categories: Wire-Frame Representation Object is represented as as a set of points

More information

CBE 6333, R. Levicky 1 Differential Balance Equations

CBE 6333, R. Levicky 1 Differential Balance Equations CBE 6333, R. Levicky 1 Differential Balance Equations We have previously derived integral balances for mass, momentum, and energy for a control volume. The control volume was assumed to be some large object,

More information

Chapter 2. Derivation of the Equations of Open Channel Flow. 2.1 General Considerations

Chapter 2. Derivation of the Equations of Open Channel Flow. 2.1 General Considerations Chapter 2. Derivation of the Equations of Open Channel Flow 2.1 General Considerations Of interest is water flowing in a channel with a free surface, which is usually referred to as open channel flow.

More information

1 Introduction to Matrices

1 Introduction to Matrices 1 Introduction to Matrices In this section, important definitions and results from matrix algebra that are useful in regression analysis are introduced. While all statements below regarding the columns

More information

BANACH AND HILBERT SPACE REVIEW

BANACH AND HILBERT SPACE REVIEW BANACH AND HILBET SPACE EVIEW CHISTOPHE HEIL These notes will briefly review some basic concepts related to the theory of Banach and Hilbert spaces. We are not trying to give a complete development, but

More information

Solutions for Review Problems

Solutions for Review Problems olutions for Review Problems 1. Let be the triangle with vertices A (,, ), B (4,, 1) and C (,, 1). (a) Find the cosine of the angle BAC at vertex A. (b) Find the area of the triangle ABC. (c) Find a vector

More information

Basic Equations, Boundary Conditions and Dimensionless Parameters

Basic Equations, Boundary Conditions and Dimensionless Parameters Chapter 2 Basic Equations, Boundary Conditions and Dimensionless Parameters In the foregoing chapter, many basic concepts related to the present investigation and the associated literature survey were

More information

RESONANCES AND BALLS IN OBSTACLE SCATTERING WITH NEUMANN BOUNDARY CONDITIONS

RESONANCES AND BALLS IN OBSTACLE SCATTERING WITH NEUMANN BOUNDARY CONDITIONS RESONANCES AND BALLS IN OBSTACLE SCATTERING WITH NEUMANN BOUNDARY CONDITIONS T. J. CHRISTIANSEN Abstract. We consider scattering by an obstacle in R d, d 3 odd. We show that for the Neumann Laplacian if

More information

Metric Spaces. Chapter 7. 7.1. Metrics

Metric Spaces. Chapter 7. 7.1. Metrics Chapter 7 Metric Spaces A metric space is a set X that has a notion of the distance d(x, y) between every pair of points x, y X. The purpose of this chapter is to introduce metric spaces and give some

More information

Solving Simultaneous Equations and Matrices

Solving Simultaneous Equations and Matrices Solving Simultaneous Equations and Matrices The following represents a systematic investigation for the steps used to solve two simultaneous linear equations in two unknowns. The motivation for considering

More information

Review of Vector Analysis in Cartesian Coordinates

Review of Vector Analysis in Cartesian Coordinates R. evicky, CBE 6333 Review of Vector Analysis in Cartesian Coordinates Scalar: A quantity that has magnitude, but no direction. Examples are mass, temperature, pressure, time, distance, and real numbers.

More information

THREE DIMENSIONAL GEOMETRY

THREE DIMENSIONAL GEOMETRY Chapter 8 THREE DIMENSIONAL GEOMETRY 8.1 Introduction In this chapter we present a vector algebra approach to three dimensional geometry. The aim is to present standard properties of lines and planes,

More information

4 Microscopic dynamics

4 Microscopic dynamics 4 Microscopic dynamics In this section we will look at the first model that people came up with when they started to model polymers from the microscopic level. It s called the Oldroyd B model. We will

More information

Algebra 2 Chapter 1 Vocabulary. identity - A statement that equates two equivalent expressions.

Algebra 2 Chapter 1 Vocabulary. identity - A statement that equates two equivalent expressions. Chapter 1 Vocabulary identity - A statement that equates two equivalent expressions. verbal model- A word equation that represents a real-life problem. algebraic expression - An expression with variables.

More information

Wissenschaftliche Artikel (erschienen bzw. angenommen)

Wissenschaftliche Artikel (erschienen bzw. angenommen) Schriftenverzeichnis I. Monographie [1] Convex variational problems. Linear, nearly linear and anisotropic growth conditions. Lecture Notes in Mathematics 1818, Springer, Berlin-Heidelberg- New York, 2003.

More information

The Viscosity of Fluids

The Viscosity of Fluids Experiment #11 The Viscosity of Fluids References: 1. Your first year physics textbook. 2. D. Tabor, Gases, Liquids and Solids: and Other States of Matter (Cambridge Press, 1991). 3. J.R. Van Wazer et

More information

XI / PHYSICS FLUIDS IN MOTION 11/PA

XI / PHYSICS FLUIDS IN MOTION 11/PA Viscosity It is the property of a liquid due to which it flows in the form of layers and each layer opposes the motion of its adjacent layer. Cause of viscosity Consider two neighboring liquid layers A

More information

Mathematics Course 111: Algebra I Part IV: Vector Spaces

Mathematics Course 111: Algebra I Part IV: Vector Spaces Mathematics Course 111: Algebra I Part IV: Vector Spaces D. R. Wilkins Academic Year 1996-7 9 Vector Spaces A vector space over some field K is an algebraic structure consisting of a set V on which are

More information

Continued Fractions and the Euclidean Algorithm

Continued Fractions and the Euclidean Algorithm Continued Fractions and the Euclidean Algorithm Lecture notes prepared for MATH 326, Spring 997 Department of Mathematics and Statistics University at Albany William F Hammond Table of Contents Introduction

More information

MICROLOCAL ANALYSIS OF THE BOCHNER-MARTINELLI INTEGRAL

MICROLOCAL ANALYSIS OF THE BOCHNER-MARTINELLI INTEGRAL PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 00, Number 0, Pages 000 000 S 0002-9939(XX)0000-0 MICROLOCAL ANALYSIS OF THE BOCHNER-MARTINELLI INTEGRAL NIKOLAI TARKHANOV AND NIKOLAI VASILEVSKI

More information

Section 1.1. Introduction to R n

Section 1.1. Introduction to R n The Calculus of Functions of Several Variables Section. Introduction to R n Calculus is the study of functional relationships and how related quantities change with each other. In your first exposure to

More information

Elasticity Theory Basics

Elasticity Theory Basics G22.3033-002: Topics in Computer Graphics: Lecture #7 Geometric Modeling New York University Elasticity Theory Basics Lecture #7: 20 October 2003 Lecturer: Denis Zorin Scribe: Adrian Secord, Yotam Gingold

More information

Lecture 5 Hemodynamics. Description of fluid flow. The equation of continuity

Lecture 5 Hemodynamics. Description of fluid flow. The equation of continuity 1 Lecture 5 Hemodynamics Description of fluid flow Hydrodynamics is the part of physics, which studies the motion of fluids. It is based on the laws of mechanics. Hemodynamics studies the motion of blood

More information

Exact shape-reconstruction by one-step linearization in electrical impedance tomography

Exact shape-reconstruction by one-step linearization in electrical impedance tomography Exact shape-reconstruction by one-step linearization in electrical impedance tomography Bastian von Harrach harrach@math.uni-mainz.de Institut für Mathematik, Joh. Gutenberg-Universität Mainz, Germany

More information

Electromagnetism - Lecture 2. Electric Fields

Electromagnetism - Lecture 2. Electric Fields Electromagnetism - Lecture 2 Electric Fields Review of Vector Calculus Differential form of Gauss s Law Poisson s and Laplace s Equations Solutions of Poisson s Equation Methods of Calculating Electric

More information

Figure 1.1 Vector A and Vector F

Figure 1.1 Vector A and Vector F CHAPTER I VECTOR QUANTITIES Quantities are anything which can be measured, and stated with number. Quantities in physics are divided into two types; scalar and vector quantities. Scalar quantities have

More information

Let H and J be as in the above lemma. The result of the lemma shows that the integral

Let H and J be as in the above lemma. The result of the lemma shows that the integral Let and be as in the above lemma. The result of the lemma shows that the integral ( f(x, y)dy) dx is well defined; we denote it by f(x, y)dydx. By symmetry, also the integral ( f(x, y)dx) dy is well defined;

More information

Numerisches Rechnen. (für Informatiker) M. Grepl J. Berger & J.T. Frings. Institut für Geometrie und Praktische Mathematik RWTH Aachen

Numerisches Rechnen. (für Informatiker) M. Grepl J. Berger & J.T. Frings. Institut für Geometrie und Praktische Mathematik RWTH Aachen (für Informatiker) M. Grepl J. Berger & J.T. Frings Institut für Geometrie und Praktische Mathematik RWTH Aachen Wintersemester 2010/11 Problem Statement Unconstrained Optimality Conditions Constrained

More information

4.3 Results... 27 4.3.1 Drained Conditions... 27 4.3.2 Undrained Conditions... 28 4.4 References... 30 4.5 Data Files... 30 5 Undrained Analysis of

4.3 Results... 27 4.3.1 Drained Conditions... 27 4.3.2 Undrained Conditions... 28 4.4 References... 30 4.5 Data Files... 30 5 Undrained Analysis of Table of Contents 1 One Dimensional Compression of a Finite Layer... 3 1.1 Problem Description... 3 1.1.1 Uniform Mesh... 3 1.1.2 Graded Mesh... 5 1.2 Analytical Solution... 6 1.3 Results... 6 1.3.1 Uniform

More information

Level Set Framework, Signed Distance Function, and Various Tools

Level Set Framework, Signed Distance Function, and Various Tools Level Set Framework Geometry and Calculus Tools Level Set Framework,, and Various Tools Spencer Department of Mathematics Brigham Young University Image Processing Seminar (Week 3), 2010 Level Set Framework

More information

9 More on differentiation

9 More on differentiation Tel Aviv University, 2013 Measure and category 75 9 More on differentiation 9a Finite Taylor expansion............... 75 9b Continuous and nowhere differentiable..... 78 9c Differentiable and nowhere monotone......

More information

1 if 1 x 0 1 if 0 x 1

1 if 1 x 0 1 if 0 x 1 Chapter 3 Continuity In this chapter we begin by defining the fundamental notion of continuity for real valued functions of a single real variable. When trying to decide whether a given function is or

More information

Computation of crystal growth. using sharp interface methods

Computation of crystal growth. using sharp interface methods Efficient computation of crystal growth using sharp interface methods University of Regensburg joint with John Barrett (London) Robert Nürnberg (London) July 2010 Outline 1 Curvature driven interface motion

More information

Unified Lecture # 4 Vectors

Unified Lecture # 4 Vectors Fall 2005 Unified Lecture # 4 Vectors These notes were written by J. Peraire as a review of vectors for Dynamics 16.07. They have been adapted for Unified Engineering by R. Radovitzky. References [1] Feynmann,

More information

Dimensional Analysis

Dimensional Analysis Dimensional Analysis An Important Example from Fluid Mechanics: Viscous Shear Forces V d t / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / Ƭ = F/A = μ V/d More generally, the viscous

More information

Functional Analysis II Final Test, 4.02.2012 Funktionalanalysis II Endklausur, 4.02.2012

Functional Analysis II Final Test, 4.02.2012 Funktionalanalysis II Endklausur, 4.02.2012 Winter Term 2011-2012 Functional Analysis II Final Test, 4.02.2012 Funktionalanalysis II Endklausur, 4.02.2012 Name:/Name: Matriculation number:/matrikelnr.: Semester:/Fachsemester: Degree course:/studiengang:

More information

Derive 5: The Easiest... Just Got Better!

Derive 5: The Easiest... Just Got Better! Liverpool John Moores University, 1-15 July 000 Derive 5: The Easiest... Just Got Better! Michel Beaudin École de Technologie Supérieure, Canada Email; mbeaudin@seg.etsmtl.ca 1. Introduction Engineering

More information

Numerical Verification of Optimality Conditions in Optimal Control Problems

Numerical Verification of Optimality Conditions in Optimal Control Problems Numerical Verification of Optimality Conditions in Optimal Control Problems Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Julius-Maximilians-Universität Würzburg vorgelegt von

More information

DIRICHLET S PROBLEM WITH ENTIRE DATA POSED ON AN ELLIPSOIDAL CYLINDER. 1. Introduction

DIRICHLET S PROBLEM WITH ENTIRE DATA POSED ON AN ELLIPSOIDAL CYLINDER. 1. Introduction DIRICHLET S PROBLEM WITH ENTIRE DATA POSED ON AN ELLIPSOIDAL CYLINDER DMITRY KHAVINSON, ERIK LUNDBERG, HERMANN RENDER. Introduction A function u is said to be harmonic if u := n j= 2 u = 0. Given a domain

More information

Three-dimensional Scattering Problems with applications to Optical Security Devices

Three-dimensional Scattering Problems with applications to Optical Security Devices The University of Reading Department of Mathematics Three-dimensional Scattering Problems with applications to Optical Security Devices by Corinna Burkard Thesis submitted for the degree of Doctor of Philosophy

More information

1 VECTOR SPACES AND SUBSPACES

1 VECTOR SPACES AND SUBSPACES 1 VECTOR SPACES AND SUBSPACES What is a vector? Many are familiar with the concept of a vector as: Something which has magnitude and direction. an ordered pair or triple. a description for quantities such

More information

Thnkwell s Homeschool Precalculus Course Lesson Plan: 36 weeks

Thnkwell s Homeschool Precalculus Course Lesson Plan: 36 weeks Thnkwell s Homeschool Precalculus Course Lesson Plan: 36 weeks Welcome to Thinkwell s Homeschool Precalculus! We re thrilled that you ve decided to make us part of your homeschool curriculum. This lesson

More information

VERTICES OF GIVEN DEGREE IN SERIES-PARALLEL GRAPHS

VERTICES OF GIVEN DEGREE IN SERIES-PARALLEL GRAPHS VERTICES OF GIVEN DEGREE IN SERIES-PARALLEL GRAPHS MICHAEL DRMOTA, OMER GIMENEZ, AND MARC NOY Abstract. We show that the number of vertices of a given degree k in several kinds of series-parallel labelled

More information

Introduction to the Finite Element Method

Introduction to the Finite Element Method Introduction to the Finite Element Method 09.06.2009 Outline Motivation Partial Differential Equations (PDEs) Finite Difference Method (FDM) Finite Element Method (FEM) References Motivation Figure: cross

More information

INDISTINGUISHABILITY OF ABSOLUTELY CONTINUOUS AND SINGULAR DISTRIBUTIONS

INDISTINGUISHABILITY OF ABSOLUTELY CONTINUOUS AND SINGULAR DISTRIBUTIONS INDISTINGUISHABILITY OF ABSOLUTELY CONTINUOUS AND SINGULAR DISTRIBUTIONS STEVEN P. LALLEY AND ANDREW NOBEL Abstract. It is shown that there are no consistent decision rules for the hypothesis testing problem

More information

Journal of Engineering Science and Technology Review 2 (1) (2009) 76-81. Lecture Note

Journal of Engineering Science and Technology Review 2 (1) (2009) 76-81. Lecture Note Journal of Engineering Science and Technology Review 2 (1) (2009) 76-81 Lecture Note JOURNAL OF Engineering Science and Technology Review www.jestr.org Time of flight and range of the motion of a projectile

More information

Moving Least Squares Approximation

Moving Least Squares Approximation Chapter 7 Moving Least Squares Approimation An alternative to radial basis function interpolation and approimation is the so-called moving least squares method. As we will see below, in this method the

More information

Notes on Elastic and Inelastic Collisions

Notes on Elastic and Inelastic Collisions Notes on Elastic and Inelastic Collisions In any collision of 2 bodies, their net momentus conserved. That is, the net momentum vector of the bodies just after the collision is the same as it was just

More information

The Advantages and Disadvantages of Online Linear Optimization

The Advantages and Disadvantages of Online Linear Optimization LINEAR PROGRAMMING WITH ONLINE LEARNING TATSIANA LEVINA, YURI LEVIN, JEFF MCGILL, AND MIKHAIL NEDIAK SCHOOL OF BUSINESS, QUEEN S UNIVERSITY, 143 UNION ST., KINGSTON, ON, K7L 3N6, CANADA E-MAIL:{TLEVIN,YLEVIN,JMCGILL,MNEDIAK}@BUSINESS.QUEENSU.CA

More information

UNIFORMLY DISCONTINUOUS GROUPS OF ISOMETRIES OF THE PLANE

UNIFORMLY DISCONTINUOUS GROUPS OF ISOMETRIES OF THE PLANE UNIFORMLY DISCONTINUOUS GROUPS OF ISOMETRIES OF THE PLANE NINA LEUNG Abstract. This paper discusses 2-dimensional locally Euclidean geometries and how these geometries can describe musical chords. Contents

More information

Physics 235 Chapter 1. Chapter 1 Matrices, Vectors, and Vector Calculus

Physics 235 Chapter 1. Chapter 1 Matrices, Vectors, and Vector Calculus Chapter 1 Matrices, Vectors, and Vector Calculus In this chapter, we will focus on the mathematical tools required for the course. The main concepts that will be covered are: Coordinate transformations

More information

FINAL EXAM SOLUTIONS Math 21a, Spring 03

FINAL EXAM SOLUTIONS Math 21a, Spring 03 INAL EXAM SOLUIONS Math 21a, Spring 3 Name: Start by printing your name in the above box and check your section in the box to the left. MW1 Ken Chung MW1 Weiyang Qiu MW11 Oliver Knill h1 Mark Lucianovic

More information

Lecture 3 Fluid Dynamics and Balance Equa6ons for Reac6ng Flows

Lecture 3 Fluid Dynamics and Balance Equa6ons for Reac6ng Flows Lecture 3 Fluid Dynamics and Balance Equa6ons for Reac6ng Flows 3.- 1 Basics: equations of continuum mechanics - balance equations for mass and momentum - balance equations for the energy and the chemical

More information

Extrinsic geometric flows

Extrinsic geometric flows On joint work with Vladimir Rovenski from Haifa Paweł Walczak Uniwersytet Łódzki CRM, Bellaterra, July 16, 2010 Setting Throughout this talk: (M, F, g 0 ) is a (compact, complete, any) foliated, Riemannian

More information

Effective Boundary Conditions for Laminar Flows over Periodic Rough Boundaries

Effective Boundary Conditions for Laminar Flows over Periodic Rough Boundaries JOURNAL OF COMPUTATIONAL PHYSICS 47, 87 28 (998) ARTICLE NO. CP986088 Effective Boundary Conditions for Laminar Flows over Periodic Rough Boundaries Yves Achdou, O. Pironneau,, and F. Valentin INSA Rennes,

More information

ON NONNEGATIVE SOLUTIONS OF NONLINEAR TWO-POINT BOUNDARY VALUE PROBLEMS FOR TWO-DIMENSIONAL DIFFERENTIAL SYSTEMS WITH ADVANCED ARGUMENTS

ON NONNEGATIVE SOLUTIONS OF NONLINEAR TWO-POINT BOUNDARY VALUE PROBLEMS FOR TWO-DIMENSIONAL DIFFERENTIAL SYSTEMS WITH ADVANCED ARGUMENTS ON NONNEGATIVE SOLUTIONS OF NONLINEAR TWO-POINT BOUNDARY VALUE PROBLEMS FOR TWO-DIMENSIONAL DIFFERENTIAL SYSTEMS WITH ADVANCED ARGUMENTS I. KIGURADZE AND N. PARTSVANIA A. Razmadze Mathematical Institute

More information

The Heat Equation. Lectures INF2320 p. 1/88

The Heat Equation. Lectures INF2320 p. 1/88 The Heat Equation Lectures INF232 p. 1/88 Lectures INF232 p. 2/88 The Heat Equation We study the heat equation: u t = u xx for x (,1), t >, (1) u(,t) = u(1,t) = for t >, (2) u(x,) = f(x) for x (,1), (3)

More information

LINEAR ALGEBRA W W L CHEN

LINEAR ALGEBRA W W L CHEN LINEAR ALGEBRA W W L CHEN c W W L Chen, 1997, 2008 This chapter is available free to all individuals, on understanding that it is not to be used for financial gain, and may be downloaded and/or photocopied,

More information

CE 3500 Fluid Mechanics / Fall 2014 / City College of New York

CE 3500 Fluid Mechanics / Fall 2014 / City College of New York 1 Drag Coefficient The force ( F ) of the wind blowing against a building is given by F=C D ρu 2 A/2, where U is the wind speed, ρ is density of the air, A the cross-sectional area of the building, and

More information

Spectral Networks and Harmonic Maps to Buildings

Spectral Networks and Harmonic Maps to Buildings Spectral Networks and Harmonic Maps to Buildings 3 rd Itzykson Colloquium Fondation Mathématique Jacques Hadamard IHES, Thursday 7 November 2013 C. Simpson, joint work with Ludmil Katzarkov, Alexander

More information