Dynamics for the solutions of the water-hammer equations
|
|
- Posy Shepherd
- 7 years ago
- Views:
Transcription
1 Dynamics for the solutions of the water-hammer equations J. Alberto Conejero (IUMPA-Universitat Politècnica de València). Joint work with C. Lizama (Universidad Santiado de Chile) and F. Ródenas (IUMPA-Universitat Politècnica de València) XIV Encuentros Análisis Funcional Murcia Valencia Homenaje a Manuel Maestre en su 60 cumpleaños. 24 de septiembre de 2015
2 The water hammer phenomenon Wave vs. water hammer equations Water hammer equations Research topics: 1 Linear chaos (chaos on infinite-dimensional systems) 2 Families of linear operators ( C 0 -semigroups ) 3 Applications to PDE
3 The water hammer phenomenon Wave vs. water hammer equations Water hammer equations The water hammer phenomenon (Also called hydraulic transients) We already have studied chaos for the solutions to the wave equation, so we decided to try to study if some type of chaos appears behind this phenomenon
4 The water hammer phenomenon Wave vs. water hammer equations Water hammer equations The water hammer phenomenon (Also called hydraulic transients) We already have studied chaos for the solutions to the wave equation, so we decided to try to study if some type of chaos appears behind this phenomenon
5 The water hammer phenomenon Wave vs. water hammer equations Water hammer equations The water hammer phenomenon (Also called hydraulic transients) We already have studied chaos for the solutions to the wave equation, so we decided to try to study if some type of chaos appears behind this phenomenon
6 The water hammer phenomenon Wave vs. water hammer equations Water hammer equations The water hammer phenomenon (Also called hydraulic transients) We already have studied chaos for the solutions to the wave equation, so we decided to try to study if some type of chaos appears behind this phenomenon
7 The water hammer phenomenon Wave vs. water hammer equations Water hammer equations The water hammer phenomenon (Also called hydraulic transients) We already have studied chaos for the solutions to the wave equation, so we decided to try to study if some type of chaos appears behind this phenomenon
8 The water hammer phenomenon Wave vs. water hammer equations Water hammer equations The study of hydraulic transients started (seriously) with the wave equation. The wave equation (d Alembert) y tt (x, t) = a 2 y xx (x, t) (1) where a is the propagation speed, x the position of the particle (in equilibrium), and y the vertical displacement. The general solution is given by y(x, t) := f (x + at) + g(x at), where t 0 (2) and f ang g are traveling waves.
9 The water hammer phenomenon Wave vs. water hammer equations Water hammer equations We fix ρ > 0 and consider the space X ρ = { f : R C ; f (x) = n=0 a n ρ n n! x n, (a n ) n 0 c 0 }, (3) with the norm f = sup n 0 a n, where c 0 is the Banach space of complex sequences tending to 0. Then X ρ is a Banach space of analytic functions with a certain growth control. By its definition it is isometrically isomorphic to c 0. Herzog 97 This type of spaces were already used when studying the dynamics of the solution of the heat equation. Conejero, Peris, Trujillo 10 & Gross-Erdmann, Peris 11 We also studied the case of the hyperbolic heat equation and the wave equation.
10 The water hammer phenomenon Wave vs. water hammer equations Water hammer equations We fix ρ > 0 and consider the space X ρ = { f : R C ; f (x) = n=0 a n ρ n n! x n, (a n ) n 0 c 0 }, (3) with the norm f = sup n 0 a n, where c 0 is the Banach space of complex sequences tending to 0. Then X ρ is a Banach space of analytic functions with a certain growth control. By its definition it is isometrically isomorphic to c 0. Herzog 97 This type of spaces were already used when studying the dynamics of the solution of the heat equation. Conejero, Peris, Trujillo 10 & Gross-Erdmann, Peris 11 We also studied the case of the hyperbolic heat equation and the wave equation.
11 The water hammer phenomenon Wave vs. water hammer equations Water hammer equations We fix ρ > 0 and consider the space X ρ = { f : R C ; f (x) = n=0 a n ρ n n! x n, (a n ) n 0 c 0 }, (3) with the norm f = sup n 0 a n, where c 0 is the Banach space of complex sequences tending to 0. Then X ρ is a Banach space of analytic functions with a certain growth control. By its definition it is isometrically isomorphic to c 0. Herzog 97 This type of spaces were already used when studying the dynamics of the solution of the heat equation. Conejero, Peris, Trujillo 10 & Gross-Erdmann, Peris 11 We also studied the case of the hyperbolic heat equation and the wave equation.
12 The water hammer phenomenon Wave vs. water hammer equations Water hammer equations We fix ρ > 0 and consider the space X ρ = { f : R C ; f (x) = n=0 a n ρ n n! x n, (a n ) n 0 c 0 }, (3) with the norm f = sup n 0 a n, where c 0 is the Banach space of complex sequences tending to 0. Then X ρ is a Banach space of analytic functions with a certain growth control. By its definition it is isometrically isomorphic to c 0. Herzog 97 This type of spaces were already used when studying the dynamics of the solution of the heat equation. Conejero, Peris, Trujillo 10 & Gross-Erdmann, Peris 11 We also studied the case of the hyperbolic heat equation and the wave equation.
13 The water hammer phenomenon Wave vs. water hammer equations Water hammer equations Some basic ideas on hydraulics: Bernoulli s principle The total energy at a given point in a fluid is equal to the energy associated with the movement of the fluid, plus energy from pressure in the fluid, plus energy from the height of the fluid relative to an arbitrary datum.
14 The water hammer phenomenon Wave vs. water hammer equations Water hammer equations Bernoulli s principle V 2 ρ 2 + P + ρgz = constant (4) v, speed across a section ρ, density of the fluid P, pressure g, gravity acceleration z, height respect to the datum V 2 P + 2g ρg + z = constant (5) }{{}}{{} Kinetics(DISCHARGE) Pressure(PIEZOMETRIC HEAD)
15 The water hammer phenomenon Wave vs. water hammer equations Water hammer equations Hydraulics: Steady state vs. transient flow. They are derived from the classical mass and momentum conservation equations adding the following assumptions: 1 The flow in the conduit is one-dimensional, 2 The velocity is uniform over the cross section of the conduit, 3 The conduit walls and the fluid are linearly elastic 4 The formulas for computing the steady-state friction losses in conduits are valid during the transient state.
16 The water hammer phenomenon Wave vs. water hammer equations Water hammer equations Hydraulics: Steady state vs. transient flow. They are derived from the classical mass and momentum conservation equations adding the following assumptions: 1 The flow in the conduit is one-dimensional, 2 The velocity is uniform over the cross section of the conduit, 3 The conduit walls and the fluid are linearly elastic 4 The formulas for computing the steady-state friction losses in conduits are valid during the transient state.
17 The water hammer phenomenon Wave vs. water hammer equations Water hammer equations These are given by the next pair of coupled partial differential equations: where Q t + gah x + f Q Q = 0, (Dynamic equation) (6) 2DA v 2 ga Q x + H t = 0, (Continuity equation) (7) Q(x, t) represents the discharge H(x, t) represent the piezometric head at the centerline of the conduit above the specified datum, f is the friction factor (which is assumed to be constant), g is the acceleration due to gravity, v is the fluid wave velocity, and A and D are the the cross-sectional area and the diameter of a conduit, respectively. The parameters A and D, are characteristics of the conduit system and are time invariant, but may be functions of x.
18 The water hammer phenomenon Wave vs. water hammer equations Water hammer equations These are given by the next pair of coupled partial differential equations: where Q t + gah x + f Q Q = 0, (Dynamic equation) (6) 2DA v 2 ga Q x + H t = 0, (Continuity equation) (7) Q(x, t) represents the discharge H(x, t) represent the piezometric head at the centerline of the conduit above the specified datum, f is the friction factor (which is assumed to be constant), g is the acceleration due to gravity, v is the fluid wave velocity, and A and D are the the cross-sectional area and the diameter of a conduit, respectively. The parameters A and D, are characteristics of the conduit system and are time invariant, but may be functions of x.
19 The water hammer phenomenon Wave vs. water hammer equations Water hammer equations These are given by the next pair of coupled partial differential equations: where Q t + gah x + f Q Q = 0, (Dynamic equation) (6) 2DA v 2 ga Q x + H t = 0, (Continuity equation) (7) Q(x, t) represents the discharge H(x, t) represent the piezometric head at the centerline of the conduit above the specified datum, f is the friction factor (which is assumed to be constant), g is the acceleration due to gravity, v is the fluid wave velocity, and A and D are the the cross-sectional area and the diameter of a conduit, respectively. The parameters A and D, are characteristics of the conduit system and are time invariant, but may be functions of x.
20 The water hammer phenomenon Wave vs. water hammer equations Water hammer equations These are given by the next pair of coupled partial differential equations: where Q t + gah x + f Q Q = 0, (Dynamic equation) (6) 2DA v 2 ga Q x + H t = 0, (Continuity equation) (7) Q(x, t) represents the discharge H(x, t) represent the piezometric head at the centerline of the conduit above the specified datum, f is the friction factor (which is assumed to be constant), g is the acceleration due to gravity, v is the fluid wave velocity, and A and D are the the cross-sectional area and the diameter of a conduit, respectively. The parameters A and D, are characteristics of the conduit system and are time invariant, but may be functions of x.
21 The water hammer phenomenon Wave vs. water hammer equations Water hammer equations This pair of coupled nonlinear partial differential equations can be represented as ( ) Q(x, t) H(x, t) t ( ) Q(x, 0) H(x, 0) = where F (y, t) = fy y 2DA ( 0 ga d dx v 2 d ga dx 0 ( ) ϕ1 (x) =, x R. ϕ 2 (x) ) (Q(x, ) t) + H(x, t) ( F (Q(x, t), t) 0 ), (8)
22 The water hammer phenomenon Wave vs. water hammer equations Water hammer equations As a consequence, relative to a fixed time coordinate, disturbances have a finite propagation speed and they travel along the characteristics of the equation Method of characteristics Along the lines x = vt the equations are reduced to first-order ones. Q t + ga v H t + f dx AQ Q = 0 if = v. 2D dt (9) Q t ga v H t + f dx AQ Q = 0 if = v. 2D dt (10)
23 The water hammer phenomenon Wave vs. water hammer equations Water hammer equations Description of the water hammer phenomenon studied since end of 19th century and early 1900 s. (Menabrea, Joukowsky, and Allevi among others). Further information regarding water hammer equations: M. Hanif Chaudry. Applied hydraulic transients. Ed. Springer. 3rd ed. 2014, XIV, 583 p
24 C 0 -semigroups Semigroups and linear differential equations New results on the solutions to the water hammer equations To develop the study of the dynamical behaviour of the water hammer phenomenon, the solutions will be represented by a C 0 -semigroup generated by certain first order differential equation. Definition A one-parameter family {T (t)} t 0 of operators on X (Banach space) is called a strongly continuous semigroup of operators if the following three conditions are satisfied: 1 T (0) = I ; 2 T (t + s) = T (t)t (s) for all s, t 0; 3 ĺım s t T (s)x = T (t)x for all x X and t 0. One also refers to it as a C 0 -semigroup.
25 C 0 -semigroups Semigroups and linear differential equations New results on the solutions to the water hammer equations Definition Let {T (t)} t 0 be an arbitrary C 0 -semigroup on X. The operator Ax := ĺım (T (t)x x) (11) t t 0 1 exists on a dense subspace of X ; denoted by D(A). Then A, or rather (A, D(A)), is called the (infinitesimal) generator of the semigroup. The infinitesimal generator determines the semigroup uniquely. If D(A) = X, {T (t)} t 0 = {e ta } t 0 = n=0 For every x X (X Banach space) and λ C such that Ax = λx T t x = e λt x, t 0 t n n! An t 0 (12)
26 C 0 -semigroups Semigroups and linear differential equations New results on the solutions to the water hammer equations Definition Let {T (t)} t 0 be an arbitrary C 0 -semigroup on X. The operator Ax := ĺım (T (t)x x) (11) t t 0 1 exists on a dense subspace of X ; denoted by D(A). Then A, or rather (A, D(A)), is called the (infinitesimal) generator of the semigroup. The infinitesimal generator determines the semigroup uniquely. If D(A) = X, {T (t)} t 0 = {e ta } t 0 = n=0 For every x X (X Banach space) and λ C such that Ax = λx T t x = e λt x, t 0 t n n! An t 0 (12)
27 C 0 -semigroups Semigroups and linear differential equations New results on the solutions to the water hammer equations Definition Let {T (t)} t 0 be an arbitrary C 0 -semigroup on X. The operator Ax := ĺım (T (t)x x) (11) t t 0 1 exists on a dense subspace of X ; denoted by D(A). Then A, or rather (A, D(A)), is called the (infinitesimal) generator of the semigroup. The infinitesimal generator determines the semigroup uniquely. If D(A) = X, {T (t)} t 0 = {e ta } t 0 = n=0 For every x X (X Banach space) and λ C such that Ax = λx T t x = e λt x, t 0 t n n! An t 0 (12)
28 C 0 -semigroups Semigroups and linear differential equations New results on the solutions to the water hammer equations The unique solution of the abstract Cauchy problem { } u t = Au, (13) u(0, x) = ϕ(x) where A is a linear operator defined on X, is given by u(t, x) = e ta ϕ(x) (14) In that sense, u(t, x) is called a classical solution of the abstract Cauchy problem (13) and the semigroup {T t } t 0 = {e ta } t 0 is called the solution semigroup of (13), whose infinitesimal generator is A. But these operators can be define in wider spaces, which permits us to find mild solutions.
29 C 0 -semigroups Semigroups and linear differential equations New results on the solutions to the water hammer equations The unique solution of the abstract Cauchy problem { } u t = Au, (13) u(0, x) = ϕ(x) where A is a linear operator defined on X, is given by u(t, x) = e ta ϕ(x) (14) In that sense, u(t, x) is called a classical solution of the abstract Cauchy problem (13) and the semigroup {T t } t 0 = {e ta } t 0 is called the solution semigroup of (13), whose infinitesimal generator is A. But these operators can be define in wider spaces, which permits us to find mild solutions.
30 C 0 -semigroups Semigroups and linear differential equations New results on the solutions to the water hammer equations The unique solution of the abstract Cauchy problem { } u t = Au, (13) u(0, x) = ϕ(x) where A is a linear operator defined on X, is given by u(t, x) = e ta ϕ(x) (14) In that sense, u(t, x) is called a classical solution of the abstract Cauchy problem (13) and the semigroup {T t } t 0 = {e ta } t 0 is called the solution semigroup of (13), whose infinitesimal generator is A. But these operators can be define in wider spaces, which permits us to find mild solutions.
31 C 0 -semigroups Semigroups and linear differential equations New results on the solutions to the water hammer equations Let us return to the original problem and formulate it as follows: ( ) ( ) ( ) ( ) Q(t) 0 αb Q(t) F (Q(t), t) = 1 H(t) t α B 0 +, H(t) 0 ( ) ( Q(0) φ =. H(0) ϕ) (15) We will consider A as a constant parameter; α = ga v and B = v d dx on an appropriate Banach space X.
32 C 0 -semigroups Semigroups and linear differential equations New results on the solutions to the water hammer equations We consider the operator-valued matrix ( ) 0 αb A := 1 α B 0 with domain Dom(A) := Dom(B) Dom(B) defined on X X. (16) Theorem Suppose that B is the generator of a C 0 -group {T (t)} t R on X. Then A is the generator of a C 0 -group {T (t)} t 0 on X X given by T (t) := 1 ( I αi 2 T +(t) I 1 α I ) T (t) ( ) I αi I 1 α I t 0. (17)
33 C 0 -semigroups Semigroups and linear differential equations New results on the solutions to the water hammer equations Idea of the proof The only problematic part is to verify the semigroup law. 4T (t)t (s) = (T (t)p + T ( t)q)(t (s)p + T ( s)q) (18) ( ) ( ) I αi I αi where P = 1 α I I and Q = 1 α I I verify the properties P 2 = 2P, Q 2 = 2Q and PQ = QP = 0. Therefore 4T (t)t (s) = (T (t)p + T ( t)q)(t (s)p + T ( s)q) = T (t + s)p 2 + T (t s)pq + T ( t + s)qp + T ( t s)q 2 = 2T (t + s)p + 2T ( t s)q = 4T (t + s). (19)
34 C 0 -semigroups Semigroups and linear differential equations New results on the solutions to the water hammer equations Idea of the proof The only problematic part is to verify the semigroup law. 4T (t)t (s) = (T (t)p + T ( t)q)(t (s)p + T ( s)q) (18) ( ) ( ) I αi I αi where P = 1 α I I and Q = 1 α I I verify the properties P 2 = 2P, Q 2 = 2Q and PQ = QP = 0. Therefore 4T (t)t (s) = (T (t)p + T ( t)q)(t (s)p + T ( s)q) = T (t + s)p 2 + T (t s)pq + T ( t + s)qp + T ( t s)q 2 = 2T (t + s)p + 2T ( t s)q = 4T (t + s). (19)
35 C 0 -semigroups Semigroups and linear differential equations New results on the solutions to the water hammer equations Idea of the proof The only problematic part is to verify the semigroup law. 4T (t)t (s) = (T (t)p + T ( t)q)(t (s)p + T ( s)q) (18) ( ) ( ) I αi I αi where P = 1 α I I and Q = 1 α I I verify the properties P 2 = 2P, Q 2 = 2Q and PQ = QP = 0. Therefore 4T (t)t (s) = (T (t)p + T ( t)q)(t (s)p + T ( s)q) = T (t + s)p 2 + T (t s)pq + T ( t + s)qp + T ( t s)q 2 = 2T (t + s)p + 2T ( t s)q = 4T (t + s). (19)
36 C 0 -semigroups Semigroups and linear differential equations New results on the solutions to the water hammer equations For the water hammer equations we have Remark An explicit description of the C 0-semigroup {T (t)} t 0 on X X is ( ( φ T (t)(φ, ϕ) = T +(t) 2 + αϕ ) ( φ + T (t) 2 2 αϕ ), 2 ( φ T +(t) 2α + ϕ ) ( φ + T (t) 2 2α + ϕ )), 2 for every t 0 and initial conditions (Q(0), H(0)) = (φ, ϕ) X X. If B = v d dx as in water hammer equations, T +(t) is the translation of t units to the left at speed v and T (t) the translation of t units to the right at speed v. This operator representation of the solution clearly shows the presence of the two waves (one due to the former steady flow and another one in the opposite sense due to the increase of the pressure).
37 C 0 -semigroups Semigroups and linear differential equations New results on the solutions to the water hammer equations For the water hammer equations we have Remark An explicit description of the C 0-semigroup {T (t)} t 0 on X X is ( ( φ T (t)(φ, ϕ) = T +(t) 2 + αϕ ) ( φ + T (t) 2 2 αϕ ), 2 ( φ T +(t) 2α + ϕ ) ( φ + T (t) 2 2α + ϕ )), 2 for every t 0 and initial conditions (Q(0), H(0)) = (φ, ϕ) X X. If B = v d dx as in water hammer equations, T +(t) is the translation of t units to the left at speed v and T (t) the translation of t units to the right at speed v. This operator representation of the solution clearly shows the presence of the two waves (one due to the former steady flow and another one in the opposite sense due to the increase of the pressure).
38 C 0 -semigroups Semigroups and linear differential equations New results on the solutions to the water hammer equations For the water hammer equations we have Remark An explicit description of the C 0-semigroup {T (t)} t 0 on X X is ( ( φ T (t)(φ, ϕ) = T +(t) 2 + αϕ ) ( φ + T (t) 2 2 αϕ ), 2 ( φ T +(t) 2α + ϕ ) ( φ + T (t) 2 2α + ϕ )), 2 for every t 0 and initial conditions (Q(0), H(0)) = (φ, ϕ) X X. If B = v d dx as in water hammer equations, T +(t) is the translation of t units to the left at speed v and T (t) the translation of t units to the right at speed v. This operator representation of the solution clearly shows the presence of the two waves (one due to the former steady flow and another one in the opposite sense due to the increase of the pressure).
39 C 0 -semigroups Semigroups and linear differential equations New results on the solutions to the water hammer equations This permits to give new explicit formulas for computing Q and H. and ( φ Q(t) = T +(t) 2 + αϕ t ( φ H(t) = T +(t) + 1 2α 0 t 0 ) ( φ + T (t) 2 αϕ 2 (T +(t s) + T (t s))f (Q(s), s)ds. 2α + ϕ 2 ) ) ( φ + T (t) 2α + ϕ ) 2 (T +(t s) T (t s))f (Q(s), s)ds.
40 C 0 -semigroups Semigroups and linear differential equations New results on the solutions to the water hammer equations The operator representation of the solution permits to characterize the solutions by an integro-differential representation of them: Theorem Suppose that B is the generator of a C 0 -group {T (t)} t R on X and let F : X R + Dom(B) be given. A pair (Q, H) is a mild solution of the nonlinear general problem if, and only if, for all (φ, ϕ) Dom(B) Dom(B), Q satisfies the integro-differential equation and t Q (t) = B 2 Q(s)ds + F (Q(t), t) + αbϕ (20) 0 H(t) = 1 t α B Q(s)ds + ϕ (21) with initial conditions (Q(0), H(0)) = (φ, ϕ). 0
41 Basic definitions Dynamics of the translation C 0 -semigroup Definition Let {T (t)} t 0 be a C 0 -semigroup on X. (a) Orbit of x under {T (t)} t 0 is orb(x, (T (t))) = {T (t)x ; t 0} (22) (b) Hypercyclic if there is some x X whose orbit under {T (t)} t 0 is dense in X. (c) Topologically transitive if, for any pair U, V of nonempty open subsets of X, there exists some t 0 0 such that T (t 0 )(U) V. (d) Topologically mixing if, for any pair U, V of nonempty open subsets of X, there exists some t 0 0 such that T (t)(u) V for every t t 0.
42 Basic definitions Dynamics of the translation C 0 -semigroup Definition Let {T (t)} t 0 be a C 0 -semigroup on X. (a) Orbit of x under {T (t)} t 0 is orb(x, (T (t))) = {T (t)x ; t 0} (22) (b) Hypercyclic if there is some x X whose orbit under {T (t)} t 0 is dense in X. (c) Topologically transitive if, for any pair U, V of nonempty open subsets of X, there exists some t 0 0 such that T (t 0 )(U) V. (d) Topologically mixing if, for any pair U, V of nonempty open subsets of X, there exists some t 0 0 such that T (t)(u) V for every t t 0.
43 Basic definitions Dynamics of the translation C 0 -semigroup Definition Let {T (t)} t 0 be a C 0 -semigroup on X. (a) Orbit of x under {T (t)} t 0 is orb(x, (T (t))) = {T (t)x ; t 0} (22) (b) Hypercyclic if there is some x X whose orbit under {T (t)} t 0 is dense in X. (c) Topologically transitive if, for any pair U, V of nonempty open subsets of X, there exists some t 0 0 such that T (t 0 )(U) V. (d) Topologically mixing if, for any pair U, V of nonempty open subsets of X, there exists some t 0 0 such that T (t)(u) V for every t t 0.
44 Basic definitions Dynamics of the translation C 0 -semigroup Definition Let {T (t)} t 0 be a C 0 -semigroup on X. (a) Orbit of x under {T (t)} t 0 is orb(x, (T (t))) = {T (t)x ; t 0} (22) (b) Hypercyclic if there is some x X whose orbit under {T (t)} t 0 is dense in X. (c) Topologically transitive if, for any pair U, V of nonempty open subsets of X, there exists some t 0 0 such that T (t 0 )(U) V. (d) Topologically mixing if, for any pair U, V of nonempty open subsets of X, there exists some t 0 0 such that T (t)(u) V for every t t 0.
45 Basic definitions Dynamics of the translation C 0 -semigroup Dynamics of the translation C 0 -semigroup A measurable function, ρ : J R +, with J = R + or R, is said to be an admissible weight function if the following conditions hold: 1 ρ(τ) > 0 for all τ J, and 2 there exists constants M 1 and w R such that ρ(τ) Me w t ρ(t + τ) for all τ, t J. For J = R + or R, we define the weighted spaces L p ρ(j), 1 p <, and C 0,ρ(J) { ( } 1/p L p ρ(j) := u : J K measurable : u p := u(τ) ρ(τ)dτ) p <. { C 0,ρ(J) := u : J K continuous : u := sup u(τ) ρ(τ) < τ J and } ĺım u(τ) ρ(τ) = 0. τ J
46 Basic definitions Dynamics of the translation C 0 -semigroup Dynamics of the translation C 0 -semigroup A measurable function, ρ : J R +, with J = R + or R, is said to be an admissible weight function if the following conditions hold: 1 ρ(τ) > 0 for all τ J, and 2 there exists constants M 1 and w R such that ρ(τ) Me w t ρ(t + τ) for all τ, t J. For J = R + or R, we define the weighted spaces L p ρ(j), 1 p <, and C 0,ρ(J) { ( } 1/p L p ρ(j) := u : J K measurable : u p := u(τ) ρ(τ)dτ) p <. { C 0,ρ(J) := u : J K continuous : u := sup u(τ) ρ(τ) < τ J and } ĺım u(τ) ρ(τ) = 0. τ J
47 Basic definitions Dynamics of the translation C 0 -semigroup Desch, Schappacher & Webb 97 Let X = L p ρ(r + ), with 1 p <. The translation C 0 -semigroup {T (t)} t 0 is hypercyclic if, and only if, Desch, Schappacher & Webb 97 ĺım inf ρ(t) = 0. t Let X = L p ρ(r), with 1 p <. The translation C 0 -semigroup {T (t)} t 0 is hypercyclic if, and only if, for every θ R there exists a sequence of positive real numbers {t j } j such that ĺım ρ(θ + t j) = ĺım ρ(θ t j ) = 0. j j Bermúdez, Bonilla, Conejero & Peris 05 Topologically mixing holds in each case if we replace these limits by ĺım ρ(t) = 0. j
48 Basic definitions Dynamics of the translation C 0 -semigroup Desch, Schappacher & Webb 97 Let X = L p ρ(r + ), with 1 p <. The translation C 0 -semigroup {T (t)} t 0 is hypercyclic if, and only if, Desch, Schappacher & Webb 97 ĺım inf ρ(t) = 0. t Let X = L p ρ(r), with 1 p <. The translation C 0 -semigroup {T (t)} t 0 is hypercyclic if, and only if, for every θ R there exists a sequence of positive real numbers {t j } j such that ĺım ρ(θ + t j) = ĺım ρ(θ t j ) = 0. j j Bermúdez, Bonilla, Conejero & Peris 05 Topologically mixing holds in each case if we replace these limits by ĺım ρ(t) = 0. j
49 Basic definitions Dynamics of the translation C 0 -semigroup Desch, Schappacher & Webb 97 Let X = L p ρ(r + ), with 1 p <. The translation C 0 -semigroup {T (t)} t 0 is hypercyclic if, and only if, Desch, Schappacher & Webb 97 ĺım inf ρ(t) = 0. t Let X = L p ρ(r), with 1 p <. The translation C 0 -semigroup {T (t)} t 0 is hypercyclic if, and only if, for every θ R there exists a sequence of positive real numbers {t j } j such that ĺım ρ(θ + t j) = ĺım ρ(θ t j ) = 0. j j Bermúdez, Bonilla, Conejero & Peris 05 Topologically mixing holds in each case if we replace these limits by ĺım ρ(t) = 0. j
50 Basic definitions Dynamics of the translation C 0 -semigroup Hypercyclicity Criterion. Let {T (t)} t 0 be a C 0 -semigroup on X, two dense subsets Y, Z X, an increasing sequence of real positive numbers (t k ) k tending to, and a sequence of mappings S(t k ) : Z X,k N such that (a) ĺım k T (t k )y = 0 for all y Y, (b) ĺım k S(t k )z = 0 for all z Z, and (c) ĺım k T (t k )S(t k )z = z for all z Z. Then, the C 0 -semigroup is hypercyclic. We can state a topologically mixing criterion replacing the limits by the whole limit on R +
51 Basic definitions Dynamics of the translation C 0 -semigroup Hypercyclicity Criterion. Let {T (t)} t 0 be a C 0 -semigroup on X, two dense subsets Y, Z X, an increasing sequence of real positive numbers (t k ) k tending to, and a sequence of mappings S(t k ) : Z X,k N such that (a) ĺım k T (t k )y = 0 for all y Y, (b) ĺım k S(t k )z = 0 for all z Z, and (c) ĺım k T (t k )S(t k )z = z for all z Z. Then, the C 0 -semigroup is hypercyclic. We can state a topologically mixing criterion replacing the limits by the whole limit on R +
52 Basic definitions Dynamics of the translation C 0 -semigroup Hypercyclicity Criterion. Let {T (t)} t 0 be a C 0 -semigroup on X, two dense subsets Y, Z X, an increasing sequence of real positive numbers (t k ) k tending to, and a sequence of mappings S(t k ) : Z X,k N such that (a) ĺım k T (t k )y = 0 for all y Y, (b) ĺım k S(t k )z = 0 for all z Z, and (c) ĺım k T (t k )S(t k )z = z for all z Z. Then, the C 0 -semigroup is hypercyclic. We can state a topologically mixing criterion replacing the limits by the whole limit on R +
53 Basic definitions Dynamics of the translation C 0 -semigroup Hypercyclicity Criterion. Let {T (t)} t 0 be a C 0 -semigroup on X, two dense subsets Y, Z X, an increasing sequence of real positive numbers (t k ) k tending to, and a sequence of mappings S(t k ) : Z X,k N such that (a) ĺım k T (t k )y = 0 for all y Y, (b) ĺım k S(t k )z = 0 for all z Z, and (c) ĺım k T (t k )S(t k )z = z for all z Z. Then, the C 0 -semigroup is hypercyclic. We can state a topologically mixing criterion replacing the limits by the whole limit on R +
54 Basic definitions Dynamics of the translation C 0 -semigroup Hypercyclicity Criterion. Let {T (t)} t 0 be a C 0 -semigroup on X, two dense subsets Y, Z X, an increasing sequence of real positive numbers (t k ) k tending to, and a sequence of mappings S(t k ) : Z X,k N such that (a) ĺım k T (t k )y = 0 for all y Y, (b) ĺım k S(t k )z = 0 for all z Z, and (c) ĺım k T (t k )S(t k )z = z for all z Z. Then, the C 0 -semigroup is hypercyclic. We can state a topologically mixing criterion replacing the limits by the whole limit on R +
55 Basic definitions Dynamics of the translation C 0 -semigroup Hypercyclicity Criterion. Let {T (t)} t 0 be a C 0 -semigroup on X, two dense subsets Y, Z X, an increasing sequence of real positive numbers (t k ) k tending to, and a sequence of mappings S(t k ) : Z X,k N such that (a) ĺım k T (t k )y = 0 for all y Y, (b) ĺım k S(t k )z = 0 for all z Z, and (c) ĺım k T (t k )S(t k )z = z for all z Z. Then, the C 0 -semigroup is hypercyclic. We can state a topologically mixing criterion replacing the limits by the whole limit on R +
56 Basic definitions Dynamics of the translation C 0 -semigroup Theorem Let X = L p ρ(r), with 1 p <, or X = C 0,ρ (R) with ρ an admissible function. There exists a increasing sequence of positive real numbers {t k } k N tending to satisfying ĺım ρ(t k) = ĺım ρ( t k) = 0, (23) k k if, and only if, the solution C 0 -semigroup {T (t)} t 0 to the water hammer equations is hypercyclic. We recall that the solution is given by ( ( φ T +(t) 2 + αϕ ) ( φ + T (t) 2 2 αϕ 2 ), T +(t) ( φ 2α + ϕ ) ( φ + T (t) 2 2α + ϕ )). 2
57 Basic definitions Dynamics of the translation C 0 -semigroup Theorem Let X = L p ρ(r), with 1 p <, or X = C 0,ρ (R) with ρ an admissible function. There exists a increasing sequence of positive real numbers {t k } k N tending to satisfying ĺım ρ(t k) = ĺım ρ( t k) = 0, (23) k k if, and only if, the solution C 0 -semigroup {T (t)} t 0 to the water hammer equations is hypercyclic. We recall that the solution is given by ( ( φ T +(t) 2 + αϕ ) ( φ + T (t) 2 2 αϕ 2 ), T +(t) ( φ 2α + ϕ ) ( φ + T (t) 2 2α + ϕ )). 2
58 Idea of the proof. (Sufficiency) Basic definitions Dynamics of the translation C 0 -semigroup Take Y = Z as the continuous functions with compact support on R. ( φ T+(t k) 2 + αϕ ) p M2 e w2l ρ(t k ) φ + αϕ p ρ. (24) 2 ρ(0)2 p There is k 1 N s.t. for all k k 1 we have T+(t k) ( φ + ) αϕ p εp. 2 2 ρ 4 There is k 2 N s.t. for all k k 2 we have T +(t k) ( φ + ) ϕ p εp. 2α 2 ρ 4 ρ Putting ρ( t k ) instead of ρ(t k ) we get that there exists k 3 N such that for all k k 3 we have T (t k) ( φ ) αϕ p εp, and k4 N such that for all 2 2 ρ 4 k k 4 we have T (t k) ( φ + ) ϕ p εp. 2α 2 ρ 4 Taking k 0 := máx{k 1, k 2, k 3, k 4}, we have T (t k) (φ, ϕ) ε for all k k 0, which gives the proof of (a) in the Hypercyclicity Criterion. Condition b holds taking S(t k) = T (t k) and proceeding as before. Condition (c) holds by the semigroup law.
59 Idea of the proof. (Sufficiency) Basic definitions Dynamics of the translation C 0 -semigroup Take Y = Z as the continuous functions with compact support on R. ( φ T+(t k) 2 + αϕ ) p M2 e w2l ρ(t k ) φ + αϕ p ρ. (24) 2 ρ(0)2 p There is k 1 N s.t. for all k k 1 we have T+(t k) ( φ + ) αϕ p εp. 2 2 ρ 4 There is k 2 N s.t. for all k k 2 we have T+(t k) ( φ + ) ϕ p εp. 2α 2 ρ 4 ρ Putting ρ( t k ) instead of ρ(t k ) we get that there exists k 3 N such that for all k k 3 we have T (t k) ( φ ) αϕ p εp, and k4 N such that for all 2 2 ρ 4 k k 4 we have T (t k) ( φ + ) ϕ p εp. 2α 2 ρ 4 Taking k 0 := máx{k 1, k 2, k 3, k 4}, we have T (t k) (φ, ϕ) ε for all k k 0, which gives the proof of (a) in the Hypercyclicity Criterion. Condition b holds taking S(t k) = T (t k) and proceeding as before. Condition (c) holds by the semigroup law.
60 Idea of the proof. (Sufficiency) Basic definitions Dynamics of the translation C 0 -semigroup Take Y = Z as the continuous functions with compact support on R. ( φ T+(t k) 2 + αϕ ) p M2 e w2l ρ(t k ) φ + αϕ p ρ. (24) 2 ρ(0)2 p There is k 1 N s.t. for all k k 1 we have T+(t k) ( φ + ) αϕ p εp. 2 2 ρ 4 There is k 2 N s.t. for all k k 2 we have T+(t k) ( φ + ) ϕ p εp. 2α 2 ρ 4 ρ Putting ρ( t k ) instead of ρ(t k ) we get that there exists k 3 N such that for all k k 3 we have T (t k) ( φ ) αϕ p εp, and k4 N such that for all 2 2 ρ 4 k k 4 we have T (t k) ( φ + ) ϕ p εp. 2α 2 ρ 4 Taking k 0 := máx{k 1, k 2, k 3, k 4}, we have T (t k) (φ, ϕ) ε for all k k 0, which gives the proof of (a) in the Hypercyclicity Criterion. Condition b holds taking S(t k) = T (t k) and proceeding as before. Condition (c) holds by the semigroup law.
61 Idea of the proof. (Sufficiency) Basic definitions Dynamics of the translation C 0 -semigroup Take Y = Z as the continuous functions with compact support on R. ( φ T+(t k) 2 + αϕ ) p M2 e w2l ρ(t k ) φ + αϕ p ρ. (24) 2 ρ(0)2 p There is k 1 N s.t. for all k k 1 we have T+(t k) ( φ + ) αϕ p εp. 2 2 ρ 4 There is k 2 N s.t. for all k k 2 we have T+(t k) ( φ + ) ϕ p εp. 2α 2 ρ 4 ρ Putting ρ( t k ) instead of ρ(t k ) we get that there exists k 3 N such that for all k k 3 we have T (t k) ( φ ) αϕ p εp, and k4 N such that for all 2 2 ρ 4 k k 4 we have T (t k) ( φ + ) ϕ p εp. 2α 2 ρ 4 Taking k 0 := máx{k 1, k 2, k 3, k 4}, we have T (t k) (φ, ϕ) ε for all k k 0, which gives the proof of (a) in the Hypercyclicity Criterion. Condition b holds taking S(t k) = T (t k) and proceeding as before. Condition (c) holds by the semigroup law.
62 Idea of the proof. (Sufficiency) Basic definitions Dynamics of the translation C 0 -semigroup Take Y = Z as the continuous functions with compact support on R. ( φ T+(t k) 2 + αϕ ) p M2 e w2l ρ(t k ) φ + αϕ p ρ. (24) 2 ρ(0)2 p There is k 1 N s.t. for all k k 1 we have T+(t k) ( φ + ) αϕ p εp. 2 2 ρ 4 There is k 2 N s.t. for all k k 2 we have T+(t k) ( φ + ) ϕ p εp. 2α 2 ρ 4 ρ Putting ρ( t k ) instead of ρ(t k ) we get that there exists k 3 N such that for all k k 3 we have T (t k) ( φ ) αϕ p εp, and k4 N such that for all 2 2 ρ 4 k k 4 we have T (t k) ( φ + ) ϕ p εp. 2α 2 ρ 4 Taking k 0 := máx{k 1, k 2, k 3, k 4}, we have T (t k) (φ, ϕ) ε for all k k 0, which gives the proof of (a) in the Hypercyclicity Criterion. Condition b holds taking S(t k) = T (t k) and proceeding as before. Condition (c) holds by the semigroup law.
63 Idea of the proof. (Sufficiency) Basic definitions Dynamics of the translation C 0 -semigroup Take Y = Z as the continuous functions with compact support on R. ( φ T+(t k) 2 + αϕ ) p M2 e w2l ρ(t k ) φ + αϕ p ρ. (24) 2 ρ(0)2 p There is k 1 N s.t. for all k k 1 we have T+(t k) ( φ + ) αϕ p εp. 2 2 ρ 4 There is k 2 N s.t. for all k k 2 we have T+(t k) ( φ + ) ϕ p εp. 2α 2 ρ 4 ρ Putting ρ( t k ) instead of ρ(t k ) we get that there exists k 3 N such that for all k k 3 we have T (t k) ( φ ) αϕ p εp, and k4 N such that for all 2 2 ρ 4 k k 4 we have T (t k) ( φ + ) ϕ p εp. 2α 2 ρ 4 Taking k 0 := máx{k 1, k 2, k 3, k 4}, we have T (t k) (φ, ϕ) ε for all k k 0, which gives the proof of (a) in the Hypercyclicity Criterion. Condition b holds taking S(t k) = T (t k) and proceeding as before. Condition (c) holds by the semigroup law.
64 Idea of the proof. (Sufficiency) Basic definitions Dynamics of the translation C 0 -semigroup Take Y = Z as the continuous functions with compact support on R. ( φ T+(t k) 2 + αϕ ) p M2 e w2l ρ(t k ) φ + αϕ p ρ. (24) 2 ρ(0)2 p There is k 1 N s.t. for all k k 1 we have T+(t k) ( φ + ) αϕ p εp. 2 2 ρ 4 There is k 2 N s.t. for all k k 2 we have T+(t k) ( φ + ) ϕ p εp. 2α 2 ρ 4 ρ Putting ρ( t k ) instead of ρ(t k ) we get that there exists k 3 N such that for all k k 3 we have T (t k) ( φ ) αϕ p εp, and k4 N such that for all 2 2 ρ 4 k k 4 we have T (t k) ( φ + ) ϕ p εp. 2α 2 ρ 4 Taking k 0 := máx{k 1, k 2, k 3, k 4}, we have T (t k) (φ, ϕ) ε for all k k 0, which gives the proof of (a) in the Hypercyclicity Criterion. Condition b holds taking S(t k) = T (t k) and proceeding as before. Condition (c) holds by the semigroup law.
65 Idea of the proof. (Necessity) Basic definitions Dynamics of the translation C 0 -semigroup Conversely, there exists t n := t n/v > L/v and (φ n, ϕ n) X X such that (φ n, ϕ n) < 1 n and T (t k )(φ n, ϕ n) (χ [0,L], 0) < 1 n. (25) where χ [0,L] stands for the characteristic function of the interval [0, L]. Let us define ( φn, ϕ n ) = ( φ [ tn, t n+l], ϕ [ tn, t n+l]). (26) On the one hand, ( φ n T+(t n) 2 + α ) ϕn p χ [0,L] p 2 1 ρ ρ n. (27) On the other hand, ( φ n T+(t n) 2 + α ) ϕn p ( Mew2L ρ(l) φ n 2 ρ ρ( t n) 2 + α ) ϕn p Mew2L ρ(l) 1 2 ρ ρ( t n) n p (28) ( ) Therefore, T +(t n) φ n p tends to 0 which leads to a contradiction. + α ϕn 2 2 ρ
66 Basic definitions Dynamics of the translation C 0 -semigroup J.A. Conejero, C. Lizama, and F. Ródenas. of the water hammer equations. To appear in Topology Appl. Thanks for your attention
MATH 425, PRACTICE FINAL EXAM SOLUTIONS.
MATH 45, PRACTICE FINAL EXAM SOLUTIONS. Exercise. a Is the operator L defined on smooth functions of x, y by L u := u xx + cosu linear? b Does the answer change if we replace the operator L by the operator
More informationMetric 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 informationBANACH 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 informationFixed Point Theorems
Fixed Point Theorems Definition: Let X be a set and let T : X X be a function that maps X into itself. (Such a function is often called an operator, a transformation, or a transform on X, and the notation
More informationClass 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 information1 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 informationSystems with Persistent Memory: the Observation Inequality Problems and Solutions
Chapter 6 Systems with Persistent Memory: the Observation Inequality Problems and Solutions Facts that are recalled in the problems wt) = ut) + 1 c A 1 s ] R c t s)) hws) + Ks r)wr)dr ds. 6.1) w = w +
More informationditional classes, depending on his or her own personal preference. In Chapter 5 we discuss the spectral properties of hypercyclic and chaotic
Preface According to a widely held view, chaos is intimately linked to nonlinearity. It is usually taken to be self-evident that a linear system behaves in a predictable manner. However, as early as 1929,
More informationFUNCTIONAL 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 informationRate of growth of D-frequently hypercyclic functions
Rate of growth of D-frequently hypercyclic functions A. Bonilla Departamento de Análisis Matemático Universidad de La Laguna Hypercyclic Definition A (linear and continuous) operator T in a topological
More informationChapter 5. Banach Spaces
9 Chapter 5 Banach Spaces Many linear equations may be formulated in terms of a suitable linear operator acting on a Banach space. In this chapter, we study Banach spaces and linear operators acting on
More informationExtremal equilibria for reaction diffusion equations in bounded domains and applications.
Extremal equilibria for reaction diffusion equations in bounded domains and applications. Aníbal Rodríguez-Bernal Alejandro Vidal-López Departamento de Matemática Aplicada Universidad Complutense de Madrid,
More informationThe Positive Supercyclicity Theorem
E extracta mathematicae Vol. 19, Núm. 1, 145 149 (2004) V Curso Espacios de Banach y Operadores. Laredo, Agosto de 2003. The Positive Supercyclicity Theorem F. León Saavedra Departamento de Matemáticas,
More informationDifferential 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 informationRate of convergence towards Hartree dynamics
Rate of convergence towards Hartree dynamics Benjamin Schlein, LMU München and University of Cambridge Universitá di Milano Bicocca, October 22, 2007 Joint work with I. Rodnianski 1. Introduction boson
More informationLimits and Continuity
Math 20C Multivariable Calculus Lecture Limits and Continuity Slide Review of Limit. Side limits and squeeze theorem. Continuous functions of 2,3 variables. Review: Limits Slide 2 Definition Given a function
More informationHydrodynamic Limits of Randomized Load Balancing Networks
Hydrodynamic Limits of Randomized Load Balancing Networks Kavita Ramanan and Mohammadreza Aghajani Brown University Stochastic Networks and Stochastic Geometry a conference in honour of François Baccelli
More informationAPPLIED MATHEMATICS ADVANCED LEVEL
APPLIED MATHEMATICS ADVANCED LEVEL INTRODUCTION This syllabus serves to examine candidates knowledge and skills in introductory mathematical and statistical methods, and their applications. For applications
More informationLet 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 informationThe Henstock-Kurzweil-Stieltjes type integral for real functions on a fractal subset of the real line
The Henstock-Kurzweil-Stieltjes type integral for real functions on a fractal subset of the real line D. Bongiorno, G. Corrao Dipartimento di Ingegneria lettrica, lettronica e delle Telecomunicazioni,
More informationA Transmission Problem for Euler-Bernoulli beam with Kelvin-Voigt. Damping
Applied Mathematics & Information Sciences 5(1) (211), 17-28 An International Journal c 211 NSP A Transmission Problem for Euler-Bernoulli beam with Kelvin-Voigt Damping C. A Raposo 1, W. D. Bastos 2 and
More informationElasticity 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 informationNotes on metric spaces
Notes on metric spaces 1 Introduction The purpose of these notes is to quickly review some of the basic concepts from Real Analysis, Metric Spaces and some related results that will be used in this course.
More informationReference: 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 informationCollege of the Holy Cross, Spring 2009 Math 373, Partial Differential Equations Midterm 1 Practice Questions
College of the Holy Cross, Spring 29 Math 373, Partial Differential Equations Midterm 1 Practice Questions 1. (a) Find a solution of u x + u y + u = xy. Hint: Try a polynomial of degree 2. Solution. Use
More informationLinear Maps. Isaiah Lankham, Bruno Nachtergaele, Anne Schilling (February 5, 2007)
MAT067 University of California, Davis Winter 2007 Linear Maps Isaiah Lankham, Bruno Nachtergaele, Anne Schilling (February 5, 2007) As we have discussed in the lecture on What is Linear Algebra? one of
More information1 Introduction, Notation and Statement of the main results
XX Congreso de Ecuaciones Diferenciales y Aplicaciones X Congreso de Matemática Aplicada Sevilla, 24-28 septiembre 2007 (pp. 1 6) Skew-product maps with base having closed set of periodic points. Juan
More informationEXISTENCE AND NON-EXISTENCE RESULTS FOR A NONLINEAR HEAT EQUATION
Sixth Mississippi State Conference on Differential Equations and Computational Simulations, Electronic Journal of Differential Equations, Conference 5 (7), pp. 5 65. ISSN: 7-669. UL: http://ejde.math.txstate.edu
More informationA new continuous dependence result for impulsive retarded functional differential equations
CADERNOS DE MATEMÁTICA 11, 37 47 May (2010) ARTIGO NÚMERO SMA#324 A new continuous dependence result for impulsive retarded functional differential equations M. Federson * Instituto de Ciências Matemáticas
More informationNumerical Methods for Differential Equations
Numerical Methods for Differential Equations Course objectives and preliminaries Gustaf Söderlind and Carmen Arévalo Numerical Analysis, Lund University Textbooks: A First Course in the Numerical Analysis
More informationON COMPLETELY CONTINUOUS INTEGRATION OPERATORS OF A VECTOR MEASURE. 1. Introduction
ON COMPLETELY CONTINUOUS INTEGRATION OPERATORS OF A VECTOR MEASURE J.M. CALABUIG, J. RODRÍGUEZ, AND E.A. SÁNCHEZ-PÉREZ Abstract. Let m be a vector measure taking values in a Banach space X. We prove that
More informationtegrals as General & Particular Solutions
tegrals as General & Particular Solutions dy dx = f(x) General Solution: y(x) = f(x) dx + C Particular Solution: dy dx = f(x), y(x 0) = y 0 Examples: 1) dy dx = (x 2)2 ;y(2) = 1; 2) dy ;y(0) = 0; 3) dx
More informationMA651 Topology. Lecture 6. Separation Axioms.
MA651 Topology. Lecture 6. Separation Axioms. This text is based on the following books: Fundamental concepts of topology by Peter O Neil Elements of Mathematics: General Topology by Nicolas Bourbaki Counterexamples
More informationMathematics 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 informationMatrix Representations of Linear Transformations and Changes of Coordinates
Matrix Representations of Linear Transformations and Changes of Coordinates 01 Subspaces and Bases 011 Definitions A subspace V of R n is a subset of R n that contains the zero element and is closed under
More informationA First Course in Elementary Differential Equations. Marcel B. Finan Arkansas Tech University c All Rights Reserved
A First Course in Elementary Differential Equations Marcel B. Finan Arkansas Tech University c All Rights Reserved 1 Contents 1 Basic Terminology 4 2 Qualitative Analysis: Direction Field of y = f(t, y)
More informationThe 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 informationON LIMIT LAWS FOR CENTRAL ORDER STATISTICS UNDER POWER NORMALIZATION. E. I. Pancheva, A. Gacovska-Barandovska
Pliska Stud. Math. Bulgar. 22 (2015), STUDIA MATHEMATICA BULGARICA ON LIMIT LAWS FOR CENTRAL ORDER STATISTICS UNDER POWER NORMALIZATION E. I. Pancheva, A. Gacovska-Barandovska Smirnov (1949) derived four
More informationProperties of BMO functions whose reciprocals are also BMO
Properties of BMO functions whose reciprocals are also BMO R. L. Johnson and C. J. Neugebauer The main result says that a non-negative BMO-function w, whose reciprocal is also in BMO, belongs to p> A p,and
More informationFIRST YEAR CALCULUS. Chapter 7 CONTINUITY. It is a parabola, and we can draw this parabola without lifting our pencil from the paper.
FIRST YEAR CALCULUS WWLCHENW L c WWWL W L Chen, 1982, 2008. 2006. This chapter originates from material used by the author at Imperial College, University of London, between 1981 and 1990. It It is is
More informationCBE 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 informationPre-requisites 2012-2013
Pre-requisites 2012-2013 Engineering Computation The student should be familiar with basic tools in Mathematics and Physics as learned at the High School level and in the first year of Engineering Schools.
More informationLecture 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 informationA 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 informationPhysics 9e/Cutnell. correlated to the. College Board AP Physics 1 Course Objectives
Physics 9e/Cutnell correlated to the College Board AP Physics 1 Course Objectives Big Idea 1: Objects and systems have properties such as mass and charge. Systems may have internal structure. Enduring
More informationNumerical Methods for Differential Equations
Numerical Methods for Differential Equations Chapter 1: Initial value problems in ODEs Gustaf Söderlind and Carmen Arévalo Numerical Analysis, Lund University Textbooks: A First Course in the Numerical
More informationRelatively dense sets, corrected uniformly almost periodic functions on time scales, and generalizations
Wang and Agarwal Advances in Difference Equations (2015) 2015:312 DOI 10.1186/s13662-015-0650-0 R E S E A R C H Open Access Relatively dense sets, corrected uniformly almost periodic functions on time
More informationInner Product Spaces
Math 571 Inner Product Spaces 1. Preliminaries An inner product space is a vector space V along with a function, called an inner product which associates each pair of vectors u, v with a scalar u, v, and
More informationPrinciple of Data Reduction
Chapter 6 Principle of Data Reduction 6.1 Introduction An experimenter uses the information in a sample X 1,..., X n to make inferences about an unknown parameter θ. If the sample size n is large, then
More informationAdaptive Online Gradient Descent
Adaptive Online Gradient Descent Peter L Bartlett Division of Computer Science Department of Statistics UC Berkeley Berkeley, CA 94709 bartlett@csberkeleyedu Elad Hazan IBM Almaden Research Center 650
More information3. Reaction Diffusion Equations Consider the following ODE model for population growth
3. Reaction Diffusion Equations Consider the following ODE model for population growth u t a u t u t, u 0 u 0 where u t denotes the population size at time t, and a u plays the role of the population dependent
More informationDuality of linear conic problems
Duality of linear conic problems Alexander Shapiro and Arkadi Nemirovski Abstract It is well known that the optimal values of a linear programming problem and its dual are equal to each other if at least
More informationNonlinear Algebraic Equations. Lectures INF2320 p. 1/88
Nonlinear Algebraic Equations Lectures INF2320 p. 1/88 Lectures INF2320 p. 2/88 Nonlinear algebraic equations When solving the system u (t) = g(u), u(0) = u 0, (1) with an implicit Euler scheme we have
More informationAn Introduction to Partial Differential Equations
An Introduction to Partial Differential Equations Andrew J. Bernoff LECTURE 2 Cooling of a Hot Bar: The Diffusion Equation 2.1. Outline of Lecture An Introduction to Heat Flow Derivation of the Diffusion
More informationSolutions to old Exam 1 problems
Solutions to old Exam 1 problems Hi students! I am putting this old version of my review for the first midterm review, place and time to be announced. Check for updates on the web site as to which sections
More informationIntroduction 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 informationUnsteady Pressure Measurements
Quite often the measurements of pressures has to be conducted in unsteady conditions. Typical cases are those of -the measurement of time-varying pressure (with periodic oscillations or step changes) -the
More informationSection 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 informationRandom graphs with a given degree sequence
Sourav Chatterjee (NYU) Persi Diaconis (Stanford) Allan Sly (Microsoft) Let G be an undirected simple graph on n vertices. Let d 1,..., d n be the degrees of the vertices of G arranged in descending order.
More informationQuasi-static evolution and congested transport
Quasi-static evolution and congested transport Inwon Kim Joint with Damon Alexander, Katy Craig and Yao Yao UCLA, UW Madison Hard congestion in crowd motion The following crowd motion model is proposed
More informationNo: 10 04. Bilkent University. Monotonic Extension. Farhad Husseinov. Discussion Papers. Department of Economics
No: 10 04 Bilkent University Monotonic Extension Farhad Husseinov Discussion Papers Department of Economics The Discussion Papers of the Department of Economics are intended to make the initial results
More informationThe Steepest Descent Algorithm for Unconstrained Optimization and a Bisection Line-search Method
The Steepest Descent Algorithm for Unconstrained Optimization and a Bisection Line-search Method Robert M. Freund February, 004 004 Massachusetts Institute of Technology. 1 1 The Algorithm The problem
More informationChapter 28 Fluid Dynamics
Chapter 28 Fluid Dynamics 28.1 Ideal Fluids... 1 28.2 Velocity Vector Field... 1 28.3 Mass Continuity Equation... 3 28.4 Bernoulli s Principle... 4 28.5 Worked Examples: Bernoulli s Equation... 7 Example
More informationThese axioms must hold for all vectors ū, v, and w in V and all scalars c and d.
DEFINITION: A vector space is a nonempty set V of objects, called vectors, on which are defined two operations, called addition and multiplication by scalars (real numbers), subject to the following axioms
More information1 Norms and Vector Spaces
008.10.07.01 1 Norms and Vector Spaces Suppose we have a complex vector space V. A norm is a function f : V R which satisfies (i) f(x) 0 for all x V (ii) f(x + y) f(x) + f(y) for all x,y V (iii) f(λx)
More informationFuzzy Probability Distributions in Bayesian Analysis
Fuzzy Probability Distributions in Bayesian Analysis Reinhard Viertl and Owat Sunanta Department of Statistics and Probability Theory Vienna University of Technology, Vienna, Austria Corresponding author:
More informationOpen Channel Flow. M. Siavashi. School of Mechanical Engineering Iran University of Science and Technology
M. Siavashi School of Mechanical Engineering Iran University of Science and Technology W ebpage: webpages.iust.ac.ir/msiavashi Email: msiavashi@iust.ac.ir Landline: +98 21 77240391 Fall 2013 Introduction
More informationTHE BANACH CONTRACTION PRINCIPLE. Contents
THE BANACH CONTRACTION PRINCIPLE ALEX PONIECKI Abstract. This paper will study contractions of metric spaces. To do this, we will mainly use tools from topology. We will give some examples of contractions,
More informationNUMERICAL ANALYSIS OF OPEN CHANNEL STEADY GRADUALLY VARIED FLOW USING THE SIMPLIFIED SAINT-VENANT EQUATIONS
TASK QUARTERLY 15 No 3 4, 317 328 NUMERICAL ANALYSIS OF OPEN CHANNEL STEADY GRADUALLY VARIED FLOW USING THE SIMPLIFIED SAINT-VENANT EQUATIONS WOJCIECH ARTICHOWICZ Department of Hydraulic Engineering, Faculty
More informationNumerical Solution of Differential Equations
Numerical Solution of Differential Equations Dr. Alvaro Islas Applications of Calculus I Spring 2008 We live in a world in constant change We live in a world in constant change We live in a world in constant
More informationSecond Order Linear Partial Differential Equations. Part I
Second Order Linear Partial Differential Equations Part I Second linear partial differential equations; Separation of Variables; - point boundary value problems; Eigenvalues and Eigenfunctions Introduction
More informationOn a comparison result for Markov processes
On a comparison result for Markov processes Ludger Rüschendorf University of Freiburg Abstract A comparison theorem is stated for Markov processes in polish state spaces. We consider a general class of
More informationMetric Spaces Joseph Muscat 2003 (Last revised May 2009)
1 Distance J Muscat 1 Metric Spaces Joseph Muscat 2003 (Last revised May 2009) (A revised and expanded version of these notes are now published by Springer.) 1 Distance A metric space can be thought of
More informationIdeal Class Group and Units
Chapter 4 Ideal Class Group and Units We are now interested in understanding two aspects of ring of integers of number fields: how principal they are (that is, what is the proportion of principal ideals
More informationChapter 4, Arithmetic in F [x] Polynomial arithmetic and the division algorithm.
Chapter 4, Arithmetic in F [x] Polynomial arithmetic and the division algorithm. We begin by defining the ring of polynomials with coefficients in a ring R. After some preliminary results, we specialize
More informationDistinguished Professor George Washington University. Graw Hill
Mechanics of Fluids Fourth Edition Irving H. Shames Distinguished Professor George Washington University Graw Hill Boston Burr Ridge, IL Dubuque, IA Madison, Wl New York San Francisco St. Louis Bangkok
More informationDynamic Process Modeling. Process Dynamics and Control
Dynamic Process Modeling Process Dynamics and Control 1 Description of process dynamics Classes of models What do we need for control? Modeling for control Mechanical Systems Modeling Electrical circuits
More information1. Prove that the empty set is a subset of every set.
1. Prove that the empty set is a subset of every set. Basic Topology Written by Men-Gen Tsai email: b89902089@ntu.edu.tw Proof: For any element x of the empty set, x is also an element of every set since
More informationState 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 informationMetric 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 informationUnified 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 informationSOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 3. Spaces with special properties
SOLUTIONS TO EXERCISES FOR MATHEMATICS 205A Part 3 Fall 2008 III. Spaces with special properties III.1 : Compact spaces I Problems from Munkres, 26, pp. 170 172 3. Show that a finite union of compact subspaces
More informationNOV - 30211/II. 1. Let f(z) = sin z, z C. Then f(z) : 3. Let the sequence {a n } be given. (A) is bounded in the complex plane
Mathematical Sciences Paper II Time Allowed : 75 Minutes] [Maximum Marks : 100 Note : This Paper contains Fifty (50) multiple choice questions. Each question carries Two () marks. Attempt All questions.
More informationSection 3.7. Rolle s Theorem and the Mean Value Theorem. Difference Equations to Differential Equations
Difference Equations to Differential Equations Section.7 Rolle s Theorem and the Mean Value Theorem The two theorems which are at the heart of this section draw connections between the instantaneous rate
More information0 <β 1 let u(x) u(y) kuk u := sup u(x) and [u] β := sup
456 BRUCE K. DRIVER 24. Hölder Spaces Notation 24.1. Let Ω be an open subset of R d,bc(ω) and BC( Ω) be the bounded continuous functions on Ω and Ω respectively. By identifying f BC( Ω) with f Ω BC(Ω),
More informationCONSERVATION LAWS. See Figures 2 and 1.
CONSERVATION LAWS 1. Multivariable calculus 1.1. Divergence theorem (of Gauss). This states that the volume integral in of the divergence of the vector-valued function F is equal to the total flux of F
More informationCONTROLLABILITY. Chapter 2. 2.1 Reachable Set and Controllability. Suppose we have a linear system described by the state equation
Chapter 2 CONTROLLABILITY 2 Reachable Set and Controllability Suppose we have a linear system described by the state equation ẋ Ax + Bu (2) x() x Consider the following problem For a given vector x in
More informationW i f(x i ) x. i=1. f(x i ) x = i=1
Work Force If an object is moving in a straight line with position function s(t), then the force F on the object at time t is the product of the mass of the object times its acceleration. F = m d2 s dt
More information4 Lyapunov Stability Theory
4 Lyapunov Stability Theory In this section we review the tools of Lyapunov stability theory. These tools will be used in the next section to analyze the stability properties of a robot controller. We
More informationDiscrete Convolution and the Discrete Fourier Transform
Discrete Convolution and the Discrete Fourier Transform Discrete Convolution First of all we need to introduce what we might call the wraparound convention Because the complex numbers w j e i πj N have
More informationPart II: Finite Difference/Volume Discretisation for CFD
Part II: Finite Difference/Volume Discretisation for CFD Finite Volume Metod of te Advection-Diffusion Equation A Finite Difference/Volume Metod for te Incompressible Navier-Stokes Equations Marker-and-Cell
More informationGENERIC COMPUTABILITY, TURING DEGREES, AND ASYMPTOTIC DENSITY
GENERIC COMPUTABILITY, TURING DEGREES, AND ASYMPTOTIC DENSITY CARL G. JOCKUSCH, JR. AND PAUL E. SCHUPP Abstract. Generic decidability has been extensively studied in group theory, and we now study it in
More informationApplications of Second-Order Differential Equations
Applications of Second-Order Differential Equations Second-order linear differential equations have a variety of applications in science and engineering. In this section we explore two of them: the vibration
More informationLinear Control Systems
Chapter 3 Linear Control Systems Topics : 1. Controllability 2. Observability 3. Linear Feedback 4. Realization Theory Copyright c Claudiu C. Remsing, 26. All rights reserved. 7 C.C. Remsing 71 Intuitively,
More informationNonparametric adaptive age replacement with a one-cycle criterion
Nonparametric adaptive age replacement with a one-cycle criterion P. Coolen-Schrijner, F.P.A. Coolen Department of Mathematical Sciences University of Durham, Durham, DH1 3LE, UK e-mail: Pauline.Schrijner@durham.ac.uk
More informationOn common approximate fixed points of monotone nonexpansive semigroups in Banach spaces
Bachar and Khamsi Fixed Point Theory and Applications (215) 215:16 DOI 1.1186/s13663-15-45-3 R E S E A R C H Open Access On common approximate fixed points of monotone nonexpansive semigroups in Banach
More informationEXAMPLES OF PIPELINE MONITORING WITH NONLINEAR OBSERVERS AND REAL-DATA VALIDATION
8th International Multi-Conference on Systems, Signals & Devices EXAMPLES OF PIPELINE MONITORING WITH NONLINEAR OBSERVERS AND REAL-DATA VALIDATION L. Torres, G. Besançon Control Systems Dep. Gipsa-lab,
More informationMathematical Modeling and Engineering Problem Solving
Mathematical Modeling and Engineering Problem Solving Berlin Chen Department of Computer Science & Information Engineering National Taiwan Normal University Reference: 1. Applied Numerical Methods with
More informationSummary Last Lecture. Automated Reasoning. Outline of the Lecture. Definition sequent calculus. Theorem (Normalisation and Strong Normalisation)
Summary Summary Last Lecture sequent calculus Automated Reasoning Georg Moser Institute of Computer Science @ UIBK Winter 013 (Normalisation and Strong Normalisation) let Π be a proof in minimal logic
More information