The Einstein field equations
|
|
|
- Clementine Copeland
- 9 years ago
- Views:
Transcription
1 The Einstein field equations Part I: the right-hand side Atle Hahn GFM, Universidade de Lisboa Lisbon, 21st January 2010 Contents: 1 Einstein field equations: overview 2 Special relativity: review 3 Classical and relativistic fluid dynamics 4 The stress energy tensor
2 References: Book by Wald: General Relativity Wikipedia Prerequisites: Special relativity (basic results) General relativity (vague idea) Differential Geometry (basic knowledge) OR Classical Fluid Dynamics (basic knowledge) Aims: Preparation for future lectures (Big bang, Schwarzschild solution, Gödel cosmos) (Hopefully useful) supplement for the study of Wald s book
3 1 Einstein field equations: overview Let us consider a fixed space time (M, g). We use abstract index notation : We write g ab for the type (2,0) tensor g g ab denotes the type (0,2) tensor given by b g abg bc = δa c (where δc a := δ ac Kronecker symbol) R d abc denotes the curvature tensor associated to (M, g) We set R ab := c Rc acb We set R := a,b R abg ab ( Ricci tensor ) ( scalar curvature ) Remark 1 Elementary reformulation for M = R 4 : Pseudo-Riemannian metric g ab on M = R 4 can be considered as a matrix (g ab ) 1 a,b 4 of smooth functions g ab : R 4 R such that for each x R 4 The matrix (g ab (x)) a,b is symmetric (g ab (x)) a,b has three (strictly) positive eigenvalues and one (strictly) negative eigenvalue (g ab ) 1 a,b 4 determined by the 10 functions g 11, g 22, g 33, g 44, g 12, g 13, g 14, g 23, g 24, g 34
4 (g ab ) 1 a,b 4 : Matrix of functions g ab : R 4 R given by (g ab (x)) ab = ( ) 1 (g ab (x)) a,b for each x R 4 Curvature tensor (Rabc d ) 1 a,b,c,d 4: family of functions Rabc d : R4 R given explicitly as Rabc(x) d := b Γ d ac(x) a Γ d bc(x) + ( Γ i ac (x)γ d ib(x) Γ i bc(x)γ d ia(x) ) i where Γ c ab(x) := 1 g cd (x) ( a g bd (x) + b g ad (x) d g ab (x) ) 2 d R ab, a, b 4, and R are functions on M = R 4 given by R ab (x) = c R c acb(x), R(x) = a,b R ab (x)g ab (x) for each x R 4.
5 Convention 1 Index set {1, 2, 3, 4} instead of {0, 1, 2, 3} Einstein sum convention: e.g. we write R ab g ac instead of a R ab g ac R a a instead of a R a a Normal rules for raising/lowering indices: e.g. we write R c b instead of R ab g ac = a v a v a instead of g ab v b v a = a,b R ab g ac g ab v b v a
6 1.1 Vacuum case Basic problem: For given M and Λ R ( cosmological constant ) find g ab such that R ab 1 2 Rg ab + Λg ab = 0 (1) is fulfilled. System of 10 non-linear PDEs of second order! Example 1 A Schwarzschild black hole solution g ab on M = (R 3 \{0}) R): Solution of Eq. (1) which is rotation-invariant and static. It is completely specified by a parameter m R + (the mass of black hole). Digression 1 If g ab fulfills Eq. (1) then, using R = R ab g ab and g ab g ab = δa a = 4 we obtain R 1 2R4 + Λ4 = 0 and therefore Thus R is a constant function and (M, g) is a Einstein manifold. R = 4Λ R ab = Λg ab Special case Λ = 0: R ab = 0, i.e. (M, g) is Ricci flat.
7 1.2 General case Real space-time contains matter & radiation. Most important cases: A perfect fluid is present ( we have 4-velocity field u a and a density field ρ) Electromagnetic radiation is present ( we have a 4-potential A a ) Now consider general situation where (matter or radiation) field Ψ is present, e.g. Ψ = (u a, ρ) or Ψ = A a. Assumption 1: Equations of motions for Ψ are known, i.e. for a known function F. Assumption 2: The tensor F (g, Ψ) = 0 T ab = T ab (g, Ψ) ( the stress energy tensor ) is known explicitly (see Sec. 4.2 for a definition) Example 2 Ψ is a Klein-Gordon field φ on (M, g), i.e. a field φ : M R with equation of motion F (g, φ) = ( a a m 2 )φ = 0, m R The associated stress energy tensor is (see Digression 5 below) ( a : Levi-Civita connection) T (g, φ) = a φ b φ 1 2 g ab( c φ c φ + m 2 φ 2 )
8 Basic problem: For given M and Λ R find (g, Φ) such that R ab 1 2 Rg ab + Λg ab = 8πG c 4 T ab (g, Φ) (2a) F (g, Φ) = 0 are fulfilled where c is the speed of light and G Newton s gravitational constant. (2b) Remark 2 Eqs. (2a), (2b) is considerably more difficult than Eq. (1). We must find g and Φ simultaneously! Convention 2 For most of the talk (exception: Sec. 2) we use physical units such that c = 1 and G = 1 Most interesting situations involve matter/radiation Friedmann-Robertson-Walker model for the big bang (perfect fluid) Schwarzschild solution for a normal star (perfect fluid) Gödel cosmos (perfect fluid) Black hole with electric charge (electromagnetic field)
9 2 Special relativity: review Let c > 0 be speed of light (in this section not necessarily c = 1) Minkowski space: (R 4,, L ) where We set x, y L = x 0 y x i y i i=1 x := x, x L O(1, 3) denotes Lorentzgroup, i.e. automorphism group of (R 4,, L ). Explictly: O(1, 3) = {A GL(R 4 ) Ax, Ay L = x, y L for all x, y R 4 } Let us now work with a concrete basis of R 4, namely the standard basis (e i ) i of R 4. Using the concrete index notation w.r.t. this basis we have x, y L = η ab x a y b = x a y a where (η ab ) ab =
10 For a v = (v 1, v 2, v 3 ) R 3 we define the corresponding 4-vector v a 0 by v a 0 = (c, v) = (c, v 1, v 2, v 3 ) If v < c we introduce the normalized 4-vector v a by Clearly, the definitions above imply v a := c va 0 v a 0 = 1 1 v 2 /c 2(c, v 1, v 2, v 3 ) v a, v a L = v a v a = c 2 (3) For a particle of rest mass m moving with velocity vector v (with respect to the inertial system (e i ) i ) we call the corresponding normalized 4-vector the 4-velocity and introduce the momentum 4-vector P a by Digression 2 From definitions E := cp 0 = P a := mv a (4) 1 1 v 2 /c 2mc2 If particle at rest (in our inertial system) then v = 0 so E = mc 2 Moreover, or, equivalently, P a P a = c 2 m 2 1 c 2 E 2 = (P 0 ) 2 = c 2 m 2 + P i P i
11 3 Classical and relativistic fluid dynamics 3.1 Classical fluid dynamics Consider fluid (liquid or gas) in domain D R 3. For simplicity take D = R 3. ρ(x, t): mass-density of fluid u(x, t): velocity field of fluid T (x, t): temperature distribution of fluid Assume: Equation of state for fluid is known, i.e. where f is a known function. p = f(ρ, T ) (5) Example 3 For an ideal gas we have f(ρ, T ) = c ρ T where c is a constant
12 3.1.1 Special case: perfect fluid (situation) Special case: perfect fluid (situation) fluid is inviscid (= has vanishing viscosity) fluid in thermal equilibrium, i.e. we have T (x, t) = T 0 where T (x, t) is temperature distribution in fluid and T 0 is a constant Mass conservation & momentum conservation where t ρ + (ρ u) = 0 continuity equation (6) ρ ( t u + ( u ) u ) = p Euler equation (7) p(x, t) := f(ρ(x, t), T 0 ) for all x and t (8) 4 PDEs of first order in t for 4 unknown functions ρ, u 1, u 2, u 3 One can expect that there exists a unique solution (ρ, u) for every nice initial configurations ρ(x, 0) and u(x, 0)
13 Digression 3 Relation p = f(ρ, T ) is invertible for fixed T, i.e. for a suitable function g. ρ = g(p, T ) We can take p as unknown function (instead of ρ) and use Euler and continuity equations with Eq. (8) replaced by ρ(x, t) := g(p(x, t), T 0 ) for all x and t Useful when fluid is almost incompressible, i.e. ρ = g(p, T 0 ) ρ 0 where ρ 0 is a constant. Then use idealization: (fluid totally incompressible ). ρ = g(p, T 0 ) = ρ 0 The continuity equation and Euler equation simplify: u = 0 (9) t u + ( u ) u = p/ρ 0 (10) 4 PDEs of first order in t for 4 unknown functions p, u 1, u 2, u 3.
14 3.1.2 The general case Drop condition that fluid is inviscid Generalization of Euler equation with ρ ( t u + ( u ) u ) = T( u, ρ) (11) T( u, ρ) := i,j i T ij ( u, ρ)e j where T ij ( u, ρ) is the corresponding stress tensor, cf. Sec. 4 below. (if p is considered to be the free variable one uses T( u, p) instead of T( u, ρ)). Special case: fluid is Newtonian and incompressible (with constant density ρ = ρ 0 ) where ν > 0 is viscosity (cf. Sec. 4.1). Eq. (11) reads T( u, p) = p ν u ρ 0 ( t u + ( u ) u ) = p + ν u Navier Stokes equation (12) One expects that there exists a unique solution ( u, p) for every nice initial configurations u(x, 0) and p(x, 0)
15 Digression 4 Most general situation: Drop condition of thermal equilibrium (i.e. condition T (x, t) = T 0 ). temperature distribution T (x, t) will be additional unknown function. we need 5 equations, namely the 4 equations above + an additional equation. This additional equation is obtained from energy conservation (This equation will contain additional material constants like specific heat capacity and the thermal conductivity of fluid)
16 3.2 Relativistic fluid dynamics Consider perfect fluid situation above: velocity field u, density ρ, constant temperature T 0, equation of state p = f(ρ, T 0 ). Question: What is the relativistic modification of the continuity and Euler equation? Answer: If u a is normalized 4-vector of u, i.e. u a = 1 1 u 2 (1, u 1, u 2, u 3 ), (so u a u a = 1) then u a a ρ + (ρ + p) a u a = 0 (13) (ρ + p)u a a u b + (η ab + u a u b ) a p = 0 (14) Exercise 1 Show that t ρ+ (ρ u) = 0 is non-relativistic limit of Eq. (13) p ρ in non-relativistic limit). (note Miracle : Eqs. (13) and (14) can be rewritten in amazingly short and symmetric form a S ab = 0, where (15) S ab := (ρ + p)(u a u b ) + p η ab Exercise 2 Show that Eq. (13) and Eq. (14) are equivalent to u c a S ac = 0, and a S ab ( u c a S ac )u b = 0 Later: we explain miracle with the help of stress energy tensor
17 4 The stress energy tensor 4.1 The classical stress tensor The stress tensor is a concept describing the forces inside a continuous body, like a solid body, a liquid or a gas which are caused by outside forces (like gravity or forces on the surface) and movements inside the body (in the case of a liquid or gas). Following general features: Let D R 3 be the space taken by the body. The corresponding stress tensor is a tensor field T ij on D. T ij is in general time-dependent and depends on the variables describing of the body. For example, in the case of a liquid or gas T ij = T ij ( u, ρ, t). Definition of T ij is based on choosing suitable planes H in R 3 (reason, see below) Question: Why do we have to work with planes H?
18 Answer: Assume for simplicity that solid body or liquid considered is in equilibrium Body in equilibrium in each point x D the net force is zero. Now let us assume that, for some plane H through x, we would suddenly remove the part of the body to the right (or to the left ) of H. In this moment the forces would no longer be in equilibrium. We would immediately, obtain a non-zero force F acting on some area element S in H containing x Observation 1 F will depend on the area of S. Observation 2 H can be described uniquely by its normal vector n in x. Convention 3 The length (resp. area resp. volume) of a time interval t (resp. area element S resp. volume element V ) will also be denoted by t (resp. S resp. V ). Definition 1 i) For each unit vector n R 3 we define: T ( n) := lim S 0 F S
19 More precisely: we set F T ( n) := lim ( n, S) S 0 S where F ( n, S) is the force acting on the area element S H after removing the part of the body on the positive side of the plane H (which is the plane through x and orthogonal to n). ii) We generalize this by setting, for arbitrary v, if v = 0 and T ( v) = 0 otherwise. T ( v) := T ( v/ v ) v Observation 3 The map R 3 v T ( v) R 3 is linear. Accordingly, this map is a tensor of type (1,1) and will be denoted by T i j or by T i j (x). Proof is non-trivial, cf. Wikipedia entry stress tensor Definition 2 The stress tensor of the body considered is the tensor field T ij on D, which is given by T ij (x) := g ik T k j (x) (If T ij are the concrete components w.r.t to standard basis (e i ) of R 3 we have T ij (x) = T i j(x) = ( T (e j )) i
20 Observation 4 1. T ij is symmetric. 2. If system in equilibrium then i it ij = 0 3. Let A GL(3, R) and let (e j ) j be the basis of R 3 given by e j = Ae j. Then if (T ij ) ij are the components of T ij w.r.t. the new basis we have T ij = A k i A l jt kl (this follows immediately from the tensor property of T ij ). Proofs of first two statements: see again Wikipedia article.
21 Consider fluid situation above: velocity field u, density ρ, constant temperature T 0, equation of state p = f(ρ, T 0 ). Example 4 (Inviscid fluid) T ij ( u, ρ) = p δ ij = p where p = f(ρ, T 0 ). (This equation is just the definition of inviscid ) Example 5 (Incompressible Newtonian fluid) where ν is the viscosity. T ij ( u, p) = p δ ij ν( i u j + j u i )
22 4.2 The stress energy tensor Aim: Find tensor field T ab, a, b {0, 1, 2, 3} on (R 4,, L ), defined in an analogous way as the classical stress tensor T ij such that subtensor field T ij, i, j {1, 2, 3} coincides with T ij if system is at rest. More precisely: If T (t) ij (x) is classical stress tensor in x R3 at time t T ij (t, x) = T (t) ij (x) for t R, i, j {1, 2, 3} (16) must hold for all x D in which no movement of the body is present at time t. Obvious Replacements: point x R 3 x = (t, x) R 4 plane H through x hyperplane H through x area element S ( x) volume element V ( x) unit vectors n normalized 4-vector n a (i.e. n a = 1). Non-obvious Replacement: Force vector F momentum 4-vector P a. As a motivation observe that for V = S t and F := P / t we have Naive ansatz: P V = P t 1 S = F S T b (n a P b ) := lim V 0 V (17)
23 However: certain difficulties in interpretation of P b = P b (n a, V ) (Not all n a can be treated analogously; sometimes removal argument is necessary and sometimes not) We work with standard basis (e i ) i of R 4 and consider only special case n a {e 0, e 1, e 2, e 3 }. We define P i (e 0, V ), i = 0, 1, 2, 3, to be the amount of P i contained in the (spacial) volume element V. We define P i (e j, V ) for j = 1, 2, 3 and V = S t as the amount of P i which is created in the time interval t inside the spacial volume element S (R + e i ) R 2 (R + e i ) = R 2 R + provided that at time t we have first removed all of the amount of P i in R 2 (R + e i ). (here we assume that t was chosen such that t is its left endpoint)
24 Define T ij (x) by One can see that T ij (x) := T i P i (e j, V ) (e j ) := lim V 0 V (18) T ij for i, j = 1, 2, 3 indeed coincides with the classical stress tensor T i0 is the P i -density T ij for j = 1, 2, 3 is P i -flux (density) in the e j -direction We can summarize this in the following picture:
25 Observation 5 1. T ab is symmetric 2. We have a T ab = 0 (this follows from energy momentum conservation) 3. Let A O(1, 3) and let (e i ) i be the basis of R 4 given by e i = Ae i where (e i ) i is the standard basis of R 4. Let (T ij ) ij denote the family of numbers which we would have got if we had defined the stress energy tensor using (e i ) i as our inertial system instead of (e i ) i. Then T ij = A k i A l jt kl (This implies that T ij really is a tensor) Remark 3 Definition can be generalized to arbitrary space times (M, g). Generalized T ab will have analogous properties. But one exception: the generalization of a T ab = 0 will not hold in general.
26 Example 6 (Perfect fluid) Reconsider situation of Sec. 3.2 (u a is 4-velocity and ρ density function of perfect fluid on (M, g ab ) at temperature T 0 and equation of state p = f(ρ, T 0 )): i) Special case (M, g ab ) = (R 4, η ab ) and fluid at rest, i.e. u a = (1, 0, 0, 0): ρ p 0 0 T ab = 0 0 p p (cf. the last figure). Observe that we can rewrite T ab as T ab = (ρ + p)u a u b + p η ab iii) Special case (M, g ab ) = (R 4, η ab ) but u a arbitrary constant field: T ab := (ρ + p)u a u b + p η ab This follows from i) by applying the principle of relativity and using the behavior of T ab under a change of the inertial system. iii) Special case (M, g ab ) = (R 4, η ab ) but u a arbitrary: T ab := (ρ + p)u a u b + p η ab This follows from ii) by a locality argument iv) General case: (M, g ab ) and u a arbitrary: T ab := (ρ + p)u a u b + p g ab
27 Example 7 (Electromagnetic field) Let (M, g ab ) and let A a be the 4-potential of a given electromagnetic field. i) Special case (M, g ab ) = (R 4, η ab ): where T ab = 1 ( Fac Fb c 1 4π 4 η abf cd F cd) F ab := a A b b A a ii) General (M, g ab ): where now T ab = 1 ( Fac Fb c 1 4π 4 g abf cd F cd) F ab := a A b b A a (where a is the Levi-Civita connection associated to (M, g ab )).
28 Digression 5 In fact, there is a heuristic functional derivative formula for an arbitrary field Ψ, for which a Lagrangian L(g, Ψ) is given explicitly: with T (g, Ψ) = 1 1 δs(g, Ψ) 8π g δg S(g, Ψ) = M L(g, Ψ)dvol g where g = det((g ab ) ab ). For example, the Klein-Gordon field of mass m has the Lagrangian and heuristically we obtain L(g, φ) = 1 2 ( cφ c φ + m 2 φ 2 ) T (g, φ) = a φ b φ 1 2 g ab( c φ c φ + m 2 φ 2 ) where a is the Levi-Civita connection associated to (M, g ab ).
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
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
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,
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
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
Chapter 22 The Hamiltonian and Lagrangian densities. from my book: Understanding Relativistic Quantum Field Theory. Hans de Vries
Chapter 22 The Hamiltonian and Lagrangian densities from my book: Understanding Relativistic Quantum Field Theory Hans de Vries January 2, 2009 2 Chapter Contents 22 The Hamiltonian and Lagrangian densities
Special Theory of Relativity
June 1, 2010 1 1 J.D.Jackson, Classical Electrodynamics, 3rd Edition, Chapter 11 Introduction Einstein s theory of special relativity is based on the assumption (which might be a deep-rooted superstition
Mechanics 1: Conservation of Energy and Momentum
Mechanics : Conservation of Energy and Momentum If a certain quantity associated with a system does not change in time. We say that it is conserved, and the system possesses a conservation law. Conservation
The derivation of the balance equations
Chapter 3 The derivation of the balance equations In this chapter we present the derivation of the balance equations for an arbitrary physical quantity which starts from the Liouville equation. We follow,
How Gravitational Forces arise from Curvature
How Gravitational Forces arise from Curvature 1. Introduction: Extremal ging and the Equivalence Principle These notes supplement Chapter 3 of EBH (Exploring Black Holes by Taylor and Wheeler). They elaborate
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,
The Matrix Elements of a 3 3 Orthogonal Matrix Revisited
Physics 116A Winter 2011 The Matrix Elements of a 3 3 Orthogonal Matrix Revisited 1. Introduction In a class handout entitled, Three-Dimensional Proper and Improper Rotation Matrices, I provided a derivation
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
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
Differential Balance Equations (DBE)
Differential Balance Equations (DBE) Differential Balance Equations Differential balances, although more complex to solve, can yield a tremendous wealth of information about ChE processes. General balance
A Theory for the Cosmological Constant and its Explanation of the Gravitational Constant
A Theory for the Cosmological Constant and its Explanation of the Gravitational Constant H.M.Mok Radiation Health Unit, 3/F., Saiwanho Health Centre, Hong Kong SAR Govt, 8 Tai Hong St., Saiwanho, Hong
Inner products on R n, and more
Inner products on R n, and more Peyam Ryan Tabrizian Friday, April 12th, 2013 1 Introduction You might be wondering: Are there inner products on R n that are not the usual dot product x y = x 1 y 1 + +
- momentum conservation equation ρ = ρf. These are equivalent to four scalar equations with four unknowns: - pressure p - velocity components
J. Szantyr Lecture No. 14 The closed system of equations of the fluid mechanics The above presented equations form the closed system of the fluid mechanics equations, which may be employed for description
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
Einstein s theory of relativity
Department of Mathematics, Institute of Origins, December 5, 2008 Overview UCL Institute of Origins Origins UCL has established the Institute of Origins to promote world leading research in topics related
Contents. Microfluidics - Jens Ducrée Physics: Navier-Stokes Equation 1
Contents 1. Introduction 2. Fluids 3. Physics of Microfluidic Systems 4. Microfabrication Technologies 5. Flow Control 6. Micropumps 7. Sensors 8. Ink-Jet Technology 9. Liquid Handling 10.Microarrays 11.Microreactors
Derivation of the relativistic momentum and relativistic equation of motion from Newton s second law and Minkowskian space-time geometry
Apeiron, Vol. 15, No. 3, July 2008 206 Derivation of the relativistic momentum and relativistic equation of motion from Newton s second law and Minkowskian space-time geometry Krzysztof Rȩbilas Zak lad
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
Lecture L22-2D Rigid Body Dynamics: Work and Energy
J. Peraire, S. Widnall 6.07 Dynamics Fall 008 Version.0 Lecture L - D Rigid Body Dynamics: Work and Energy In this lecture, we will revisit the principle of work and energy introduced in lecture L-3 for
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
Let s first see how precession works in quantitative detail. The system is illustrated below: ...
lecture 20 Topics: Precession of tops Nutation Vectors in the body frame The free symmetric top in the body frame Euler s equations The free symmetric top ala Euler s The tennis racket theorem As you know,
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
MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS
MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS Systems of Equations and Matrices Representation of a linear system The general system of m equations in n unknowns can be written a x + a 2 x 2 + + a n x n b a
MATH 304 Linear Algebra Lecture 9: Subspaces of vector spaces (continued). Span. Spanning set.
MATH 304 Linear Algebra Lecture 9: Subspaces of vector spaces (continued). Span. Spanning set. Vector space A vector space is a set V equipped with two operations, addition V V (x,y) x + y V and scalar
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
MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS. + + x 2. x n. a 11 a 12 a 1n b 1 a 21 a 22 a 2n b 2 a 31 a 32 a 3n b 3. a m1 a m2 a mn b m
MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS 1. SYSTEMS OF EQUATIONS AND MATRICES 1.1. Representation of a linear system. The general system of m equations in n unknowns can be written a 11 x 1 + a 12 x 2 +
CONSERVATION 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
(Most of the material presented in this chapter is taken from Thornton and Marion, Chap. 7)
Chapter 4. Lagrangian Dynamics (Most of the material presented in this chapter is taken from Thornton and Marion, Chap. 7 4.1 Important Notes on Notation In this chapter, unless otherwise stated, the following
Systems of Linear Equations
Systems of Linear Equations Beifang Chen Systems of linear equations Linear systems A linear equation in variables x, x,, x n is an equation of the form a x + a x + + a n x n = b, where a, a,, a n and
Euclidean quantum gravity revisited
Institute for Gravitation and the Cosmos, Pennsylvania State University 15 June 2009 Eastern Gravity Meeting, Rochester Institute of Technology Based on: First-order action and Euclidean quantum gravity,
Basic Principles in Microfluidics
Basic Principles in Microfluidics 1 Newton s Second Law for Fluidics Newton s 2 nd Law (F= ma) : Time rate of change of momentum of a system equal to net force acting on system!f = dp dt Sum of forces
Linear Algebra Notes for Marsden and Tromba Vector Calculus
Linear Algebra Notes for Marsden and Tromba Vector Calculus n-dimensional Euclidean Space and Matrices Definition of n space As was learned in Math b, a point in Euclidean three space can be thought of
MASTER OF SCIENCE IN PHYSICS MASTER OF SCIENCES IN PHYSICS (MS PHYS) (LIST OF COURSES BY SEMESTER, THESIS OPTION)
MASTER OF SCIENCE IN PHYSICS Admission Requirements 1. Possession of a BS degree from a reputable institution or, for non-physics majors, a GPA of 2.5 or better in at least 15 units in the following advanced
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
Chapter 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
Notes on Determinant
ENGG2012B Advanced Engineering Mathematics Notes on Determinant Lecturer: Kenneth Shum Lecture 9-18/02/2013 The determinant of a system of linear equations determines whether the solution is unique, without
arxiv:1408.3381v1 [physics.gen-ph] 17 Sep 2013
Derivation of the relativistic momentum and relativistic equation of motion from Newton s second law and Minkowskian space-time geometry arxiv:1408.3381v1 [physics.gen-ph] 17 Sep 2013 Krzysztof Rȩbilas
Pre-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.
1.3. DOT PRODUCT 19. 6. If θ is the angle (between 0 and π) between two non-zero vectors u and v,
1.3. DOT PRODUCT 19 1.3 Dot Product 1.3.1 Definitions and Properties The dot product is the first way to multiply two vectors. The definition we will give below may appear arbitrary. But it is not. It
Testing dark matter halos using rotation curves and lensing
Testing dark matter halos using rotation curves and lensing Darío Núñez Instituto de Ciencias Nucleares, UNAM Instituto Avanzado de Cosmología A. González, J. Cervantes, T. Matos Observational evidences
TOPIC 4: DERIVATIVES
TOPIC 4: DERIVATIVES 1. The derivative of a function. Differentiation rules 1.1. The slope of a curve. The slope of a curve at a point P is a measure of the steepness of the curve. If Q is a point on the
Computational Geometry Lab: FEM BASIS FUNCTIONS FOR A TETRAHEDRON
Computational Geometry Lab: FEM BASIS FUNCTIONS FOR A TETRAHEDRON John Burkardt Information Technology Department Virginia Tech http://people.sc.fsu.edu/ jburkardt/presentations/cg lab fem basis tetrahedron.pdf
Homogeneous systems of algebraic equations. A homogeneous (ho-mo-geen -ius) system of linear algebraic equations is one in which
Homogeneous systems of algebraic equations A homogeneous (ho-mo-geen -ius) system of linear algebraic equations is one in which all the numbers on the right hand side are equal to : a x + + a n x n = a
The Characteristic Polynomial
Physics 116A Winter 2011 The Characteristic Polynomial 1 Coefficients of the characteristic polynomial Consider the eigenvalue problem for an n n matrix A, A v = λ v, v 0 (1) The solution to this problem
High Speed Aerodynamics Prof. K. P. Sinhamahapatra Department of Aerospace Engineering Indian Institute of Technology, Kharagpur
High Speed Aerodynamics Prof. K. P. Sinhamahapatra Department of Aerospace Engineering Indian Institute of Technology, Kharagpur Module No. # 01 Lecture No. # 06 One-dimensional Gas Dynamics (Contd.) We
5 Homogeneous systems
5 Homogeneous systems Definition: A homogeneous (ho-mo-jeen -i-us) system of linear algebraic equations is one in which all the numbers on the right hand side are equal to : a x +... + a n x n =.. a m
APPLICATIONS OF TENSOR ANALYSIS
APPLICATIONS OF TENSOR ANALYSIS (formerly titled: Applications of the Absolute Differential Calculus) by A J McCONNELL Dover Publications, Inc, Neiv York CONTENTS PART I ALGEBRAIC PRELIMINARIES/ CHAPTER
CBE 6333, R. Levicky 1. Tensor Notation.
CBE 6333, R. Levicky 1 Tensor Notation. Engineers and scientists find it useful to have a general terminology to indicate how many directions are associated with a physical quantity such as temperature
v w is orthogonal to both v and w. the three vectors v, w and v w form a right-handed set of vectors.
3. Cross product Definition 3.1. Let v and w be two vectors in R 3. The cross product of v and w, denoted v w, is the vector defined as follows: the length of v w is the area of the parallelogram with
Chapter 17. Orthogonal Matrices and Symmetries of Space
Chapter 17. Orthogonal Matrices and Symmetries of Space Take a random matrix, say 1 3 A = 4 5 6, 7 8 9 and compare the lengths of e 1 and Ae 1. The vector e 1 has length 1, while Ae 1 = (1, 4, 7) has length
α = u v. In other words, Orthogonal Projection
Orthogonal Projection Given any nonzero vector v, it is possible to decompose an arbitrary vector u into a component that points in the direction of v and one that points in a direction orthogonal to v
An Introduction to Partial Differential Equations in the Undergraduate Curriculum
An Introduction to Partial Differential Equations in the Undergraduate Curriculum J. Tolosa & M. Vajiac LECTURE 11 Laplace s Equation in a Disk 11.1. Outline of Lecture The Laplacian in Polar Coordinates
A Primer on Index Notation
A Primer on John Crimaldi August 28, 2006 1. Index versus Index notation (a.k.a. Cartesian notation) is a powerful tool for manipulating multidimensional equations. However, there are times when the more
Linear Algebra I. Ronald van Luijk, 2012
Linear Algebra I Ronald van Luijk, 2012 With many parts from Linear Algebra I by Michael Stoll, 2007 Contents 1. Vector spaces 3 1.1. Examples 3 1.2. Fields 4 1.3. The field of complex numbers. 6 1.4.
APPLIED 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
discuss how to describe points, lines and planes in 3 space.
Chapter 2 3 Space: lines and planes In this chapter we discuss how to describe points, lines and planes in 3 space. introduce the language of vectors. discuss various matters concerning the relative position
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.
Rotation: Moment of Inertia and Torque
Rotation: Moment of Inertia and Torque Every time we push a door open or tighten a bolt using a wrench, we apply a force that results in a rotational motion about a fixed axis. Through experience we learn
Similarity and Diagonalization. Similar Matrices
MATH022 Linear Algebra Brief lecture notes 48 Similarity and Diagonalization Similar Matrices Let A and B be n n matrices. We say that A is similar to B if there is an invertible n n matrix P such that
ORDINARY DIFFERENTIAL EQUATIONS
ORDINARY DIFFERENTIAL EQUATIONS GABRIEL NAGY Mathematics Department, Michigan State University, East Lansing, MI, 48824. SEPTEMBER 4, 25 Summary. This is an introduction to ordinary differential equations.
NUMERICAL ANALYSIS OF THE EFFECTS OF WIND ON BUILDING STRUCTURES
Vol. XX 2012 No. 4 28 34 J. ŠIMIČEK O. HUBOVÁ NUMERICAL ANALYSIS OF THE EFFECTS OF WIND ON BUILDING STRUCTURES Jozef ŠIMIČEK email: [email protected] Research field: Statics and Dynamics Fluids mechanics
Overview of Violations of the Basic Assumptions in the Classical Normal Linear Regression Model
Overview of Violations of the Basic Assumptions in the Classical Normal Linear Regression Model 1 September 004 A. Introduction and assumptions The classical normal linear regression model can be written
Generally Covariant Quantum Mechanics
Chapter 15 Generally Covariant Quantum Mechanics by Myron W. Evans, Alpha Foundation s Institutute for Advance Study (AIAS). ([email protected], www.aias.us, www.atomicprecision.com) Dedicated to the Late
An 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
5.3 The Cross Product in R 3
53 The Cross Product in R 3 Definition 531 Let u = [u 1, u 2, u 3 ] and v = [v 1, v 2, v 3 ] Then the vector given by [u 2 v 3 u 3 v 2, u 3 v 1 u 1 v 3, u 1 v 2 u 2 v 1 ] is called the cross product (or
a 11 x 1 + a 12 x 2 + + a 1n x n = b 1 a 21 x 1 + a 22 x 2 + + a 2n x n = b 2.
Chapter 1 LINEAR EQUATIONS 1.1 Introduction to linear equations A linear equation in n unknowns x 1, x,, x n is an equation of the form a 1 x 1 + a x + + a n x n = b, where a 1, a,..., a n, b are given
FLUID DYNAMICS. Intrinsic properties of fluids. Fluids behavior under various conditions
FLUID DYNAMICS Intrinsic properties of fluids Fluids behavior under various conditions Methods by which we can manipulate and utilize the fluids to produce desired results TYPES OF FLUID FLOW Laminar or
Lecture L5 - Other Coordinate Systems
S. Widnall, J. Peraire 16.07 Dynamics Fall 008 Version.0 Lecture L5 - Other Coordinate Systems In this lecture, we will look at some other common systems of coordinates. We will present polar coordinates
Notes: Most of the material in this chapter is taken from Young and Freedman, Chap. 13.
Chapter 5. Gravitation Notes: Most of the material in this chapter is taken from Young and Freedman, Chap. 13. 5.1 Newton s Law of Gravitation We have already studied the effects of gravity through the
E3: PROBABILITY AND STATISTICS lecture notes
E3: PROBABILITY AND STATISTICS lecture notes 2 Contents 1 PROBABILITY THEORY 7 1.1 Experiments and random events............................ 7 1.2 Certain event. Impossible event............................
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,
Losing energy in classical, relativistic and quantum mechanics
Losing energy in classical, relativistic and quantum mechanics David Atkinson ABSTRACT A Zenonian supertask involving an infinite number of colliding balls is considered, under the restriction that the
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
Second 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
Feature Commercial codes In-house codes
A simple finite element solver for thermo-mechanical problems Keywords: Scilab, Open source software, thermo-elasticity Introduction In this paper we would like to show how it is possible to develop a
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
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.
7 Gaussian Elimination and LU Factorization
7 Gaussian Elimination and LU Factorization In this final section on matrix factorization methods for solving Ax = b we want to take a closer look at Gaussian elimination (probably the best known method
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
Finite dimensional C -algebras
Finite dimensional C -algebras S. Sundar September 14, 2012 Throughout H, K stand for finite dimensional Hilbert spaces. 1 Spectral theorem for self-adjoint opertors Let A B(H) and let {ξ 1, ξ 2,, ξ n
Quantum Oscillations Can Prevent the Big Bang Singularity in an. An Einstein-Dirac cosmology. Felix Finster, Regensburg
Quantum Oscillations Can Prevent the Big Bang Singularity in an Einstein-Dirac Cosmology FZM Fakultät für Mathematik Universität Regensburg Johannes-Kepler-Forschungszentrum für Mathematik, Regensburg
Linear Equations and Inequalities
Linear Equations and Inequalities Section 1.1 Prof. Wodarz Math 109 - Fall 2008 Contents 1 Linear Equations 2 1.1 Standard Form of a Linear Equation................ 2 1.2 Solving Linear Equations......................
L r = L m /L p. L r = L p /L m
NOTE: In the set of lectures 19/20 I defined the length ratio as L r = L m /L p The textbook by Finnermore & Franzini defines it as L r = L p /L m To avoid confusion let's keep the textbook definition,
Solutions to Problems in Goldstein, Classical Mechanics, Second Edition. Chapter 7
Solutions to Problems in Goldstein, Classical Mechanics, Second Edition Homer Reid April 21, 2002 Chapter 7 Problem 7.2 Obtain the Lorentz transformation in which the velocity is at an infinitesimal angle
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: [email protected] Narvik 6 PART I Task. Consider two-point
PYTHAGOREAN TRIPLES KEITH CONRAD
PYTHAGOREAN TRIPLES KEITH CONRAD 1. Introduction A Pythagorean triple is a triple of positive integers (a, b, c) where a + b = c. Examples include (3, 4, 5), (5, 1, 13), and (8, 15, 17). Below is an ancient
Solution to Homework 2
Solution to Homework 2 Olena Bormashenko September 23, 2011 Section 1.4: 1(a)(b)(i)(k), 4, 5, 14; Section 1.5: 1(a)(b)(c)(d)(e)(n), 2(a)(c), 13, 16, 17, 18, 27 Section 1.4 1. Compute the following, if
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
Lecture 2 Matrix Operations
Lecture 2 Matrix Operations transpose, sum & difference, scalar multiplication matrix multiplication, matrix-vector product matrix inverse 2 1 Matrix transpose transpose of m n matrix A, denoted A T or
CONTENTS 1. Peter Kahn. Spring 2007
CONTENTS 1 MATH 304: CONSTRUCTING THE REAL NUMBERS Peter Kahn Spring 2007 Contents 2 The Integers 1 2.1 The basic construction.......................... 1 2.2 Adding integers..............................
Lecture 2 Linear functions and examples
EE263 Autumn 2007-08 Stephen Boyd Lecture 2 Linear functions and examples linear equations and functions engineering examples interpretations 2 1 Linear equations consider system of linear equations y
Problem Set 5 Due: In class Thursday, Oct. 18 Late papers will be accepted until 1:00 PM Friday.
Math 312, Fall 2012 Jerry L. Kazdan Problem Set 5 Due: In class Thursday, Oct. 18 Late papers will be accepted until 1:00 PM Friday. In addition to the problems below, you should also know how to solve
ABSTRACT. We prove here that Newton s universal gravitation and. momentum conservation laws together reproduce Weinberg s relation.
The Speed of Light and the Hubble parameter: The Mass-Boom Effect Antonio Alfonso-Faus E.U.I.T. Aeronáutica Plaza Cardenal Cisneros s/n 8040 Madrid, Spain ABSTRACT. We prove here that Newton s universal
Recall that two vectors in are perpendicular or orthogonal provided that their dot
Orthogonal Complements and Projections Recall that two vectors in are perpendicular or orthogonal provided that their dot product vanishes That is, if and only if Example 1 The vectors in are orthogonal
