Lectures notes on Boltzmann s equation

Size: px
Start display at page:

Download "Lectures notes on Boltzmann s equation"

Transcription

1 Lectures notes on Boltzmann s equation Simone Calogero 1 Introduction Kinetic theory describes the statistical evolution in phase-space 1 of systems composed by a large number of particles (of order 1 2 ). The main goal of kinetic theory, as far as the physical applications are concerned, is to predict the evolution of those quantities associated to the system which depend only on the local average dynamics of the particles. These are called macroscopic quantities. The most important examples of physical systems to which kinetic theory applies are dilute gases (where the molecules play the role of the particles) and in this case examples of macroscopic quantities are the temperature and the pressure of the gas. In fact, the temperature of a gas is a measure of the mean kinetic energy of the molecules in small regions of the gas, while the pressure is a macroscopic manifestation of the exchange of momentum between the particles and the walls of the gas container (of with any body inserted into the gas). The relation between kinetic and macroscopic quantities will be discussed in Section 7. The statistical description of the dynamics is given in terms of the one particle distribution function, denoted by f, which is a function of time, position and velocity (or momentum 2 ), that is f = f(t, x, v), t, x, v. By definition, f(t, x, v) is the probability density to find a particle at time t, in the position x, with velocity v. Thus the integral f(t, x, v) dv dx V Ω gives the probability to find a particle in the region V at time t with velocities v Ω. Since the number of particles is so large, the above quantity can also be interpreted as the relative number of particles in the region V at time t with velocities v Ω. Moreover, denoting by M the total mass of the system, the above integral multiplied by M can be interpreted as the total mass of the system in the region V. We shall use freely all these interpretations of the function f, which lead naturally to require that f(t,, ) L 1 ( ) and that f(t) 1 = const = 1. The Boltzmann equation is a (integro-)partial differential equation for the one particle distribution function f. Let us derive it in the most simple case, that is for a system of particles moving with constant velocities. Suppose (for notational simplicity) that all particles are identical (otherwise we should introduce a particles distribution for each species). If x(t) denotes the position vector at time t and v the (constant) velocity vector of a particle, the position at time t + ɛ will be given by x(t + ɛ) = x(t) + ɛv. 1 That is the manifold of all possible positions and velocities 2 In non-relativistic mechanics, the momenum and velocity of a particle differ only by a multiplicative constant the mass of the particle. 1

2 Now if instead of knowing the exact position of the particle at time t we only know the probability f(t, x(t), v) to find the particle there, it is natural to assume that f(t + ɛ, x(t + ɛ), v) = f(t, x(t), v), since we know with certainty that the particle has moved with constant velocity v in the ɛ-interval of time. Provided f is a sufficiently smooth function, the above identity is equivalent to the free transport equation t f + v x f =. (1) The solution of (1) with initial data f(, x, v) = f in (x, v) is given by f(t, x, v) = f in (x vt, v). Note that f in implies f(t, x, v) and that f(t) 1 = f 1. This is consistent with the interpretation of f as a probability density (i.e., of f(t, x, v)dvdx as a probability measure). Next we make the assumption that in the (infinitesimal) interval of time [t, t + ɛ] the particle undergoes a collision with the other particles of the system. Here the word collision is used to refer to a general interaction which takes place in such a short time interval and small region of space that we can safely say that it occurs at time t in the position x. If the result of the collision is to increase the number of particles with velocity v, equation (1) modifies to t f + v x f = G. Here G = G(t, x, v) is called the gain term and gives the probability density that a new particle with velocity v is gained after the collision. Likewise, if a particle with velocity v is lost after the collision with probability L, we have t f + v x f = L. The function L = L(t, x, v) is called loss term and the minus sign indicates that it makes f decrease (obviously, if a particle looses velocity v, the probability to have a particle with this velocity after the collision will be smaller). In general we have t f + v x f = G L. (2) Hence the Boltzmann equation is a balance equation: It says us how the particle distribution f changes as a consequence of the collision. In order to give an explicit form to G and L we have to give more information on how collisions occur. We shall consider only the case of the Boltzmann equation for binary elastic collisions. Exercise 1. Consider a system of particles moving under the influence of an external force field F = F (t, x). What should the equation for the one particle distribution function be in this case? Prove that the resulting equation (Vlasov equation) is consistent with the interpretation of the solution as a probability density (i.e., the solution is non-negative and its L 1 norm is constant). 2 The Boltzmann equation for binary elastic collisions Binary elastic collisions means that we take into account only collisions between pair of particles (binary), i.e. the simultaneous collisions between three or more particles are assumed to occur with negligible probability. Moreover the collisions are assumed to be elastic, meaning that, besides the total momentum of the particles, also the total kinetic energy is conserved during the collision 3. 3 If the kinetic energy is not conserved, the collision is called inelastic. 2

3 Let v, v denote the velocities before the collision of two particles and v, v their velocities after the collision (see Fig. 1). We also assume the particles to have the same mass (which is also conserved in the collision). Then the conservation laws of momentum and kinetic energy take the form v + v = v + v (cons. of momentum), (3) v 2 + v 2 = v 2 + v 2 (cons. of kinetic energy). (4) Suppose the pre-collisional velocities (v, v ) are given and we want to derive the post-collisional velocities (v, v ) from (3) and (4). Since we have 6 unknowns but only 4 equations, the above system is underdetermined. However one can prove that the manifold of the solution is a 2-sphere. Precisely we have the following Lemma 1. A quadruple (v, v, v, v ) solves (3)-(4) if and only if for some ω S 2. v = v [(v v ) ω]ω, (5) v = v + [(v v ) ω]ω, (6) Proof. The claim is true for the trivial solution (v = v, v = v ) (since it is obtained for ω orthogonal to v v ). Otherwise, set v = v + a ω, v = v + b ω; from the conservation of momentum, equation (3), we have a = b. Substituting v = v + a ω and v = v a ω in (4) and solving for a we obtained the desired result with ω = v v v v = v v v v. 3

4 The triple (v, v, ω) is called a collision configuration. The direction of ω is the scattering direction of the collision. Some important geometrical properties of binary elastic collisions are collected in the following lemma, whose proof is left as exercise. Lemma 2. The following holds: (i) v v = v v, (v v ) ω = (v v ) ω ; (ii) v = v [(v v ) ω]ω, v = v + [(v v ) ω]ω; (iii) The Jacobian of the transformation (v, v ) (v, v ) is equal to 1. Exercise 2. Prove Lemma 2. The meaning of (ii) is that a binary elastic collision is a reversible process (see Fig. 2). Recall from the Introduction that the gain term measures the probability that a new particle with velocity v results from the collision of two particles. By (ii) of Lemma 2, this is the case if the particles collide with velocities v = v [(v v ) ω]ω and v = v + [(v v ) ω]ω (see Fig. 2 again). The probability to find a particle with velocity v (resp. v ) in the point x at time t is given by f(t, x, v ) (resp. f(t, x, v )). The probability to have both particles at the same time in the same position (so that they may collide) is given by the product f(t, x, v )f(t, x, v ) provided we assume that the occurrence of two particles in the same point at the same time with given velocities are two independent events. This is called the molecular chaos assumption. Now if the two particles had always the same probability (say one) to collide independently from their velocities and scattering angle, then the product above would already give the probability density to obtain a new particle with velocity v from the collision of two particles with velocities v and v. This means the all the infinitely possible collision configurations which are compatible with (3) and (4) have the same probability to occur. However this is in general not the case. The probability of collision of two particles, that is the strength of the interaction, will depend in general on the velocities of the two particles as well as on the scattering angle. In order to measure such a collision probability we introduce a function B = B(ω, v, w), called the collision kernel, whose physical meaning is roughly speaking the following: It says us how strong is the collision of two particles with velocities v, w and scattering angle ω (that is, how probable is the collision configuration (v, w, ω)). The specific form of B depends on the model that we use to represent the particles and the forces which act during the collision. An example will be given in the next section. Having introduced the collision kernel, we can now state that the probability density of gaining a particle v from the collision of two particles with velocities v and v is given by B(ω, v, v )f(t, x, v )f(t, x, v ) Equivalently, we can interpret the above expression as the probability associated to the configuration in Fig. 2. But since we are not interested in the velocity v of the second particle nor on the scattering angle ω, the gain term is obtained by integrating over all possible (v, ω): G(t, x, v) = B(ω, v, v )f(t, x, v )f(t, x, v )dω dv. S 2 (7) 4

5 The form of the loss term is now easily derived. In fact it is clear from Lemma 1 that a particle with velocity v will be lost whenever one of the two particles had velocity v before the collision 4. Thus for the loss term we obtain L(t, x, v) = B(ω, v, v )f(t, x, v)f(t, x, v )dω dv. S 2 (8) We have almost finished to derive the Boltzmann equation in its final form. To this end we need to make a further assumption on the collision kernel: The function B = B(ω, v, w) depends on the scattering direction ω and the velocities v, w only through the collision invariants v w, (v w) ω (see (i) of Lemma 2). The role of this assumption is to assure the Galilean invariance of the Boltzmann equation (see Exercise 3). It implies that B(ω, v, v ) = B(ω, v, v ) in (7) and so we obtain G(t, x, v) = B(ω, v, v )f(t, x, v )f(t, x, v )dω dv. S 2 (9) Replacing (8) and (9) in (2) we obtain finally the Boltzmann equation t f + v x f = B [f(t, x, v )f(t, x, v ) f(t, x, v)f(t, x, v )] dω dv S 2 (1) where B = B( v v, (v v ) ω ). The right hand side is the collision integral. It will be denoted by Q B (f, f, )(t, x, v) for short, i.e., we write (1) as t f + v x f = Q B (f, f). (11) Moreover we denote q B (f, f)(t, x, v, v, ω) the integrand function in the collision integral, i.e., q B (f, f)(t, x, v, v, ω) = B [f(t, x, v )f(t, x, v ) f(t, x, v)f(t, x, v )], whence Q B (f, f) = S 2 q B (f, f)dωdv. Throughout these notes we assume B(a, b) and B(a, b) > for almost all a, b. (12) This means that the probability that the particles do not collide is negligible. Exercise 3. Prove that (1) is Galilean invariant, that is, f(t, x ut, v u) is a solution whenever f(t, x, v) is a solution, for all u. Exercise 4. Prove the analogue of Lemma 1 for the binary elastic collisions of relativistic particles. In this case, the conservation of energy (4) is to be replaced with 1 + v v 2 = 1 + v v 2 where now v is the momentum rather than the velocity of the particles (the latter being defined as ˆv = v/ 1 + v 2, where we set the speed of light and the rest mass of the particles equal to one). 3 Example of collision kernel: The hard spheres model The collision kernel B depends on the model that we use to represent the particles and the forces which act during the collision. In this section we present an argument to justify the form of B in 4 The exception is the solution (v = v, v = v ). However this solution is a set of zero measure on the set of all possible collision configurations 5

6 the case of hard spheres collisions. This means two things: (1) particles are modelled as spheres (of diameter one 5 ) and (2) the collision is rigid, in the sense that at the point and time of impact between two spheres, an infinite force acts instantaneously on the direction which connects the centers of the two spheres (Fig. 3). The latter means that there is no friction during the impact. Let x, x denote the centers of the two spheres. Since the force is directed along x x, the change of momentum of any of the two single particles will also occur along this direction. Thus recalling the definition of ω in Lemma 1, we have ω = v v v v = x x x x. It is also clear by symmetry that the collision of Fig. 3 is equivalent to the collision of a sphere with diameter 2 at rest with a point particle having velocity v v (see Fig. 4). Now let dω the infinitesimal surface element on the sphere 2. The particles with velocity v v which collide with the sphere 2 on the surface element dω in the infinitesimal interval of time (t, t + dt) are contained in the cylinder with weight (v v ) ω dt and base dω (Fig. 4). Denote this cylinder by C(v, v ). The volume of C is given by dω (v v )ω dt. Now we repeat the derivation of the loss term made in Section 2, using the hard spheres model. The probability of loosing a particle with velocity v in the interval (t, t + dt) equals the probability of collisions of two particles, one of which has velocity v, in the same infinitesimal time interval. In the hard sphere model, these are the particles contained in the cylinder C(v, v ), v. 5 More rigorously, the Boltzmann equation for hard spheres is derived in the limit when the diameter of the particles tends to zero. 6

7 That is to say: two particles, one with velocity v and the other one with velocity v, which are in the cylinder C(v, v ) must collide. Thus all the particles with velocity v and v contained in C loose their velocities. By the interpretation of f as a particle density (or as a relative number of particles), the (relative) number of particles with velocity v in C are given by V ol(c) f(v)dv = (v v )ω f(v)dω dt dv and since all the particles with velocity v collide with these particles, then the probability of collision of two particles, one with velocity v and one with velocity v is given by (v v )ω f(v)f(v )dω dt dv dv. This expression is then divided by dt (to obtain the number of collisions per unit of time) and then integrated over all possible v and ω S 2 (because we are only interested in the probability of loosing a velocity v, regardless the velocity of the other particle and the scattering angle). If the resulting expression is compared with (8) we obtain i.e., the collision kernel for hard spheres interaction. B(ω, v, v ) = (v v ) ω, (13) 4 Collision invariants In this section we study some fundamental properties of the collision integral Q B (f, f) that appears in the r.h.s. of the Boltzmann equation. Let T > and φ : (, T ) be a measurable function with values in a finite dimensional vector space (typically R, or ). We denote φ = φ(t, x, v), φ = φ(t, x, v ), φ = φ(t, x, v ), φ = φ(t, x, v ). Moreover we denote by f any real-valued measurable function on (, T ) (not necessarily non-negative). We shall also write f = f(t, x, v), f = f(t, x, v ), f = f(t, x, v ), f = f(t, x, v ). Proposition 1. The following identity holds Q B (f, f)φdv = 1 4 S 2 q B (f, f)(φ + φ φ φ )dωdv dv, (14) for all (t, x) (, T ) and for all functions φ and f as above such that Proof. We have S 2 q B (f, f)φ dωdv dv <, (t, x) (, T ). (15) Q B (f, f)φ dv = S 2 B(f f ff )φ dω dv dv. (16) Note that the assumption (15) allows, by Fubini s theorem, to exchange the order of the integrals. Thus applying the change of variable (v, v ) (v, v) (which implies (v, v ) (v, v )) to the right hand side of (16) we obtain Q B (f, f)φ dv = B(f f ff )φ dω dv dv. (17) S 2 7

8 In the right hand side of (17) we make the change of variables (v, v ) (v, v ). Since this transformation leaves invariant the Lebesgue measure (see Lemma 2(iii)), we obtain Q B (f, f)φ dv = B(f f ff )φ dω dv dv. (18) S 2 Finally, doing again the change of variable (v, v ) (v, v) we get Q B (f, f)φ dv = B(f f ff )φ dω dv dv. (19) S 2 Summing up (16)-(18) and dividing by 4 yields the claim. Definition 1. A function φ = φ(t, x, v) is called a collision invariant if Q B (f, f)φ dv =, for almost all (t, x) (, T ) and for all measurable functions f such that the bound (15) holds. By Proposition 1, it follows that φ is a collision invariant if it verifies the identity φ + φ = φ + φ a.e. Lemma 3. Let φ be measurable and finite a.e. The identity φ(t, x, v) + φ(t, x, v ) = φ(t, x, v ) + φ(t, x, v ), (2) i.e., φ + φ = φ + φ, is verified if and only there exist a = a(t, x) R, b = b(t, x) R and c = c(t, x), measurable and a.e. finite, such that φ(t, x, v) = a(t, x) + b(t, x) v 2 + c(t, x) v. (21) The proof of if is trivial. The proof of the only if part when φ is just measurable and a.e. finite is quite long. Let us restrict ourselves to show that if φ C 2 solves (2), then it must be of the form (21). First we notice that, since the relation between (v, v ) and (v, v ) are equivalent to the conservation of momentum and kinetic energy (see Lemma 1), equation (2) is verified if and only if there exists a function ψ on [, ) such that and therefore, setting v =, φ(v) + φ(v ) = ψ( v 2 + v 2, v + v ) φ(v) + φ() = ψ( v 2, v). (22) Note that we suppress the dependence on (t, x). The claim has now been reduced to prove that the function ψ is linear in both its variables. Replacing (22) into (2) and setting v = we obtain ψ( v 2, v) + ψ(, ) = ψ( v 2, v ) + ψ( v 2, v ), (23) where v = (v ω)ω, v = v (v ω)ω and therefore v i v j = δ ij ω i ω j, v i v j = ω i ω j, v 2 v i = 2v i 2(v ω)ω i, v 2 v i = 2(v ω)ω i. (24) Thus differentiating (23) w.r.t. v i we get, denoting by u the first argument of ψ, 2 u ψ( v 2, v)v i + vi ψ( v 2, v) =2 u ψ( v 2, v )v i 2 u ψ( v 2, v )(ω v)ω i + vi ψ( v 2, v ) ω v ψ( v 2, v )ω i + 2 u ψ( v 2, v )(ω v)ω i + ω v ψ( v 2, v )ω i (25) 8

9 The previous identiy has to be satisfied for all ω S 2. We may assume v and replace ω = v/ v in (25). Since for such ω there holds (v, v ) = (, v), we obtain the identity where A is the matrix A ij vi ψ( v 2, v) = A ij vi ψ(, ), (26) A ij = δ ij v iv j v 2. (27) Since the matrix A is invertible, (26) entails vi ψ( v 2, v) = vi ψ(, ), whence ψ is linear in the second variable. To prove linearity in the first variable, we proceed likewise, differentiating (25) in v j (note that the terms with vi vj ψ vanish because ψ is linear in the second variable) and evaluating the resulting identity on ω = v/ v. The details are left as exercise. Exercise 5. Prove the linearity of ψ in the first variable. It follows by Proposition 1 and Lemma 3 that any function of the form (21) is a collision invariant. We denote φ (v) = 1, φ 1 (v) = v, φ 2 (v) = v 2 and call them the fundamental collision invariants. 5 Mild solutions and conservation laws Definition 2. Let f = f (x, v) be a measurable, almost everywhere non-negative function. A measurable function f = f(t, x, v) is said to be a mild solution of the Boltzmann equation in the interval [, T ) with initial datum f if f(t, x, v) for almost all (t, x, v) (, T ), t Q B (f, f)(s, x + v(s t), v) ds is bounded for all (t, x) (, T ) and the following identity holds for almost all (t, x, v) (, T ) : f(t, x, v) = f (x vt, v) + The mild solution is said to be global if T =. t Q B (f, f)(s, x + v(s t), v) ds. (28) Equation (28) defines the so-called mild formulation of the Boltzmann equation. Note that smooth solutions verify the identity (28). Proposition 2. Let φ = φ(t, x, v) be a C 1 collision invariant that solves the free transport equation t φ + v x φ = with initial data φ (x, v) = φ(, x, v). Let f a.e., such that f φ dv dx <, i.e., f φ L 1. Let f be a mild solution in the interval [, T ) such that (15) holds. Then fφ L ((, T ); L 1 (R 6 )) and fφ dv dx = R 6 f φ dv dx, R 6 for almost all t (, T ). 9

10 Proof. Notice first that since φ solves the free transport equation, then φ(t, x, v) = φ(s, x + v(s t), v) holds, for all (s, t, x, v). Then, multiplying (28) by φ(t, x, v) we get f(t, x, v)φ(t, x, v) = f (x vt, v)φ (x vt, v) + t Q B (f, f)(s, x + v(s t), v)φ(s, x + v(s t), v)ds. (29) We now integrate in the variables (x, v) and exchange the order of the integrals (thanks to (15)) in such a way that the first integral is over the variable x. After a translation in x, we obtain the identity t fφdvdx = f φ dvdx + Q B (s, x, v)φ(s, x, v)dvdxds. The last term vanishes, because φ is a collision invariant. The result follows. Choosing φ = φ i (v) we get: conservation of the total mass (i = ), conservation of the total momentum (i = 1) and conservation of the total kinetic energy (i = 2). Taking φ = x v we get the conservation of the total angular momentum. See Section 7 for the definition of the macroscopic observable quantities. 6 The Entropy identity and the Maxwellian distributions Lemma 4. Let f be measurable, strictly positive and finite a.e. such that Then for almost all (t, x) and if and only if a.e., where A, β, u are functions of (t, x). S 2 q B (f, f) log f dωdv dv <, (t, x) (, T ). log fq B (f, f) dv log fq B (f, f) dv = f(t, x, v) = M A,β,u = A exp( β v u 2 ), (3) Proof. Choose φ = log f in the identity (14). We obtain log fq B (f, f)dv = B(f f ff ) log ff S f f dωdv dv. 2 Since (X Y ) log Y, for all X, Y > X with equality iff X = Y, we obtain that log fq B (f, f)dv, and the equality holds iff The claim follows by Lemma 3. ff = f f, i.e., log f + log f = log f + log f. 1

11 Definition 3. A distribution of the form (3), with A > and β >, is called a Maxwellian distribution. At this point it is important to emphasize that M A,β,u is not always a solution of the Boltzmann equation. Since q B (M A,β,u, M A,β,u ) =, the condition for M A,β,u to be a solution of the Boltzmann equation is that it solves the free transport equation: t M A,β,u + v x M A,β,u =. A simple and important case is when A, β, u are constants. In this case, the function M A,β,u (v) is called a global Maxwellian. Note however that a global Maxwellian is not integrable over all space (since it is independent of x). We now use the previous lemma to establish an important identity, known as the entropy identity. Let us assume that f is a positive classical solution of the Boltzmann equation, which decays rapidly at infinity. Let H[f](t) = f log fdvdx (31) the entropy functional. Taking the time derivative and using (11) we obtain dh dt = log fq B (f, f) dvdx. (32) It follows by Lemma 4 that the entropy is non-increasing, and that at the stationary points of H, the solution must be a Maxwellian, i.e., f(t, x, v) = M A,β,u. Exercise 6. Find the general conditions on the functions A, β, u of (t, x) such that M A,β,u is a solution of the Boltzmann equation and give an example. 7 Macroscopic balance equations The fundamental laws of the mechanics of continuous bodies, in the absence of external forces, are given by t ρ + x (ρu) =, ρ Du dt + x σ =, where ρ is the mass density, v is the velocity field, σ is the stress tensor, and (33a) (33b) D dt = t + v x is the convective derivative operator. To close the system, one has to add a constitute law which permits to express σ in terms of ρ and v. For instance, for a perfect fluid σ = p(t, x)i, where p is the pressure, and (33) reduce to the Euler equations. For isentropic perfect fluids, the system is closed by assigning an equation of state, i.e., by prescribing p as a function of ρ. For viscous fluids we have σ ij = p δ ij + v δ ij + x iv j + x j v i and the second equation of the system (33) reduces to the Navier-Stokes equation. 11

12 On a sufficiently large scale, in which the discrete, molecular structure can be neglected, a gas can also be approximated by a continuous body. The purpose of this section is to derive the connection between the macroscopic description of the gas, based on the system (33), and the mesoscopic description, which is based on the Boltzmann equation. In this section we assume that f is a classical solution (i.e., C 1 ) of the Boltzmann equation that decays rapidly at infinity in the variable (x, v). Given a collision invariant φ that depends only on v, define C φ [f] = fφ dv, J φ [f] = φfvdv. (34) It follows that C φ, J φ verify the equation t C φ + x J φ =. (35) Let M > be the total mass of the system, i.e., the sum of the mass of each particle (thus M is a constant, because we assume that each particle preserves its mass). The mass density ρ = ρ(t, x) is defined by ρ(t, x) = M f dv. (36) Consider an infinitesimal volume dx of the gas. The moment of this gas region is given by uρ dx, where u is the bulk velocity of the region dx, i.e., the velocity of dx as a whole. Since dx is very small, we can say with good approximation that it has its own velocity. On the other hand, uρdx must equal the total momentum of the particles in the region dx, which is given by M dx vf dv. Thus we obtain the following formula for the bulk velocity: vfdv R u = fdv. (37) 3 Lemma 5. For all sufficiently regular solutions of the Boltzmann equation, the local conservation law of mass is satisfied: t ρ + x (ρu) =. (38) Proof. Use φ = M in (35). Now, replacing φ = Mv in (35) we obtain where τ is the second order tensor with components τ ij = M v i v j fdv. The velocity of each single molecule can be decomposed as t (ρu) + x τ =, (39) v = c + u, where c = v u measure the deviation of the velocity of each molecule from the bulk velocity and is called internal velocity. Notice that even if a given infinitesimal region dx of the gas is at rest (u = ), the internal velocity is not zero; in fact in this case it coincides with the molecules 12

13 velocity v. Thus c is the velocity of the molecules in the region dx in the reference frame in which the latter is at rest. Exercise 7. Prove that the average of the internal velocity is zero, i.e., cfdv =. Replacing v = c + u in the definition of the tensor τ we obtain τ ij = M (c i + c j + u i u j + c i u j + u j c i )fdv. Using the result of the previous exercise, the integrals containing the mixed terms c i u j vanish. Thus we can write τ ij = ρu i u j + σ ij, where σ ij = M c i c j fdv (4) is the stress tensor of the gas. Replacing in (39) we obtain, in components t (ρu i ) + x j (ρu i u j ) + x j σ ij =. (41) Lemma 6. For all sufficiently regular solutions of the Boltzmann equation, the local conservation law of momentum is satisfied: ρ Du dt + x σ =. (42) Proof. Use (41) and the local conservation of mass. Note that in this case the constitute law needs not to be given: all quantities are expressed in terms of the particle distribution function f. Finally, let us take φ = 1 2 M v 2 ; equation (35) becomes ( ) ( ) 1 12 t 2 R M v 2 fdv dv + x M v 2 vfdv dv =. 3 using the decomposition v = c + u, the previous equation becomes ( ) ( 1 t 2 ρ u 2 + ρe + x ( 1 ) 2 u 2 + e)ρu + q + σ u =, (43) where We have proved e(t, x) = ρ M c 2 fdv (internal energy) (44) q(t, x) = 1 2 M c c 2 fdv (heat flux) (45) Lemma 7. For all sufficiently regular solutions of the Boltzmann equation, the local conservation law of energy (43) holds. 13

14 The identities derived in this section apply to solutions of the Boltzmann equation. In particular they apply to the Maxwellian distributions. In the simplest case, i.e., for the global Maxwellian, they are trivially satisfied, because M A,β,u (v) is independent of (t, x). Computing the macroscopic quantities for a generic (not necessarily global) Maxwellian we find that: β(t, x) = ( ) 3/2 3 3, A(t, x) =, (46a) 4e(t, x) 4πe(t, x) σ ij (t, x) = 2 3 ρe(t, x)δ ij, q =. (46b) The function (of (t, x)) is the isotropic pressure. p = 2 3 ρe = 1 3 c 2 fdv = 1 3 Tr(σ), Exercise 8. Proof the identities (46). We conclude this section by proving that the Maxwellians minimize the entropy functional. Let h[f](t, x) = f log fdv the entropy density. Theorem 1. Let f not necessarily solution of the Boltzmann equation, with finite entropy, mass density ρ, bulk velocity u and internal energy e. Let M ρ,u,e the Maxwellian associated to (ρ, u, e) (i.e., the coefficients A, β are given by (46a). Then h[f] h[m ρ,u,e ] and equality holds iff f = M ρ,u,e, that is to say, the Maxwellian M ρ,u,e is the distribution function with the least entropy among those with density ρ, bulk velocity u and internal energy e. Proof. Let us denote M = M ρ,u,e for notational simplicity. Then (f log f M log M)dv = (f log f f log M)dv + log M(f M)dv. Moreover log M(f M) = log A (f M)dv β v u 2 (f M)dv. Both terms in the r.h.s. of the previous identity vanish, because f and M have the same ρ, u, e. Whence (f log f M log M)dv = (f log f M log M)dv. Using the elementary identity we obtain z log z z log y + y z, y, z >, (47) h[f] h[m] (f M)dv =. Since equality in (47) occurs only for z = y, the proof is complete. 14

15 8 Global existence and uniqueness of mild solutions for small data In this section we prove the existence of global, mild, continuous solutions of the Boltzmann equation for small data. Moreover, the solution verifies the standard global conservation laws (mass, momentum and energy). Recall that the mild (or integral) formulation of the Boltzmann equation is f(t, x + vt, v) = f (x, v) + Now, given a function g = g(t, x, v), we denote t g (t, x, v) = g(t, x + vt, v). Q B (f, f)(s, x + vs, v) ds. We may rewrite the mild formulation of the Boltzmann equation in the form or, in terms of f alone, f (t, x, v) = f (x, v) + f (t, x, v) = f (x, v) + t Our first goal is to prove the following t Q B (f, f) (s, x, v), S 2 B[f (s, x + (v v )s, v )f (s, x + (v v )s, v ) f (s, x, v)f (s, x + (v v )s, v )]dωdv. (48) Theorem 2. Assume that the collision kernel satisfies B b (v v ), for some b >. Let β > and define the Banach space with norm M β = {f C ([, ) ) : f(t, x, v) αe β( x 2 + v 2), for some α > }, f = sup e β( x 2 + v 2) f(t, x, v). t,x,v Denote by Mβ R = {f M β : f R}, the ball of radius R and centered on f = in M β. Then for all β > there exists R = R (β, b) such that for all R R and f Mβ R, there exists a unique f Mβ 2R solution of (48). Note that the solutions of Theorem 2 are NOT yet mild solutions, because it is not claimed that the are non-negative! We divide the proof in several lemmata. Let us begin with a calculus lemma. Lemma 8. The integral is bounded as I = I e β x+τ(v v ) 2 dτ π 1 β v v. 15

16 Proof. We write I = e β x 2 e β[τ 2 v v 2 +2τx (v v )] dτ = e β x 2 v v e β[s2 +2sx (v v ) v v ] ds, where the second equality follows by the change of variables s = τ v v. Let η = v v v v S2 and rewrite the exponent of the integrand function as Then s 2 + 2sx η = (s + x η) 2 (x η) 2. (x η) 2 ) I = e β( x 2 e β(s+x η)2 ds v v 1 π 1 e βy2 dy = v v β v v. Next recall that the collision integral Q B (f, f) consists of a gain term Q + B (f, f) and a loss term Q B (f, f), i.e., Q B (f, f) = Q + B (f, f) Q B (f, f), where Q + B (f, f)(t, x, v) = Bf(t, x, v )f(t, x, v )dωdv, (49) S 2 Q B (f, f)(t, x, v) = f(t, x, v) Bf(t, x, v )dωdv. (5) S 2 We remark that Q + B and Q B might not be well defined individually, even though Q B is. However for the solutions of Theorem 2 the gain and loss term are both well defined. Lemma 9 (Estimate for the loss term). The following estimate holds t Proof. By the definition of the loss term, Q B (f 1, f 2 ) (t, x, v) b f 1 (t, x, v) Q B (f 1, f 2 ) (s, x, v) ds 4π3 b β 2 f 1 f 2 2 e β( x + v 2). v v f 2 (t, x + t(v v ), v )dωdv S 2 b f 1 f + v 2 ) 2 e β( x 2 v v e β x+t(v v ) 2 β v 2 dωdv. S 2 Therefore t Q B (f 1, f 2 )ds 4πb f 1 f + v 2 ) 2 e β( x 2 4πb f 1 f 2 e β( x 2 + v 2 ) e β v 2 π β v v e β v 2 Since the last integral is equal to π 3/2 /β, the proof is complete. dv. e β x+t(v v ) 2 dtdv 16

17 Lemma 1 (Estimate for the gain term). The following estimate holds t Q + B (f 1, f 2 ) (s, x, v) ds 4π3 b β 2 f 1 f 2 2 e β( x + v 2). Proof. To begin with we have the estimate Q + B (f 1, f 2 ) b f 1 f 2 v v e β x+(v v )t 2 β v 2 e β x+(v v )t 2 β v 2 dωdv S 2 = b f 1 f 2 v v e β v 2 β v 2 e β[ x+(v v )t 2 + x+(v v )t 2] dωdv, S 2 where the equality follows from the conservation of energy: v 2 + v 2 = v 2 + v 2. Now, a direct computation, using the conservation of momentum and energy, shows that x + (v v )t 2 + x + (v v )t 2 = x 2 + x + t(v v ) 2, whence we obtain Q + B (f 1, f 2 ) b f 1 f 2 v v e β v 2 e β v 2 e β x 2 e β x+t(v v ) 2 dωdv S 2 = 4πb f 1 f 2 e e β v 2 β x 2 v v e β v 2 dv. Integrating in time we get t Q + B (f 1, f 2 ) ds 4π f 1 f + x 2 ) 2 e β( v 2 4π3 b β 2 f 1 f 2 e β( x where the last inequality follows as in Lemma 9. Lemma 11. Let T ± f T + f [g] = f 2 + T f [g] = f 2 be the operators t t 2 + v 2), e β x+t(v v ) 2 v v e β v 2 e β x+t(v v ) 2 dtdv Bg(s, x + (v v )s, v )g(s, x + (v v )s, v )dωdv ds, S 2 g(s, x, v) Bg(s, x + (v v )s, v )dωdv ds. S 2 There exists R (β, b) such that, for all R R and f M R β, T ± f maps M R β into M R β. Proof. By Lemma 9 and Lemma 1 we have T ± f [g] 1 2 f + 4π3 b β 2 g 2 R 2 + 4π3 b β 2 g 2. Now, when g M R β we have T ± f [g] R 2 + 4π3 b β 2 R2. Whence T ± f [g] R for R β2 8π 3 b = R. The fact that T ± f [g] is continuous when g is continuous is straightforward. 17

18 To conclude the proof of Theorem 2 it is enough to prove that, for a properly small R, T ± f [g] T ± f [ḡ] < 1 g ḡ. 2 For this implies, by the fixed point theorem, that the equation(s) T ± f [g] = g have only one solution, which we denote g ±. Obviously, g = g + g Mβ 2R solves T f [g] = g, where T f = T + f + T f. But this is just our Boltzmann equation in the mild form (for g = f ), so the existence part of Theorem 2 follows. The uniqueness follows from the fact that T f [g] T f [ḡ] T + f [g] T + f [ḡ] + T f [g] T f [ḡ] < g ḡ. Thus we conclude if we prove the following Lemma 12. There exists R = R (β, b) such that for R < R T ± f [g] T ± f [ḡ] < 1 g ḡ. 2 Proof. We prove the claim for T f and leave the statement for T + f as exercise. We have t [ T f [g] T f [ḡ] = g(s, x, v) Bg(s, x + (v v )s, v ) S 2 ] ḡ(s, x, v) Bḡ(s, x + (v v )s, v ) ds S 2 t = (g ḡ)(s, x, v) Bg(s, x + (v v )s, v )dωdv ds S 2 t + ḡ(s, x, v) B(g ḡ)(s, x + (v v )s, v )dωdv ds. S 2 To each of the last two integrals we apply the argument of Lemma 9, and so doing we obtain The claim for T f follows. T f [g] T f [g] 4π3 b β 2 Exercise 9. Prove the claim of Lemma 12 for T + f. ( g + ḡ ) g ḡ 8π3 b β 2 R g ḡ. To show that f is indeed a mild solution of the Boltzmann equation, it remains to prove that it is non-negative. Let R B denote the linear operator R B (g)(t, x, v) = Bg(t, x, v )dωdv, S 2 using which we can rewrite the loss term as Q B (f, f) = fr B(f). In the following we shall make use of the monotonicity property of R and Q + B, namely u(t, x, v) w(t, x, v), (t, x, v) R(u) R(w), Q(u, u) Q(w, w), (t, x, v). (51) Let us define the sequences {l k }, {u k } inductively by l, u, t l k+1 + l k+1 R B(u k ) = Q + B (l k, l k ), l k+1 () = f, t u k+1 + u k+1 R B(l k ) = Q + B (u k, u k ), u k+1 () = f, 18

19 Lemma 13. Assume that the beginning condition holds: Then the sequences {u k }, {l k } verify u 1 u, for all (t, x, v) [, ) (BC). l k 1 l k u k u k 1, for all (t, x, v) [, ). In particular, l k l, u k u and l u, for all (t, x, v) [, ). Proof. We may write l k as l k+1 = f e t R B(u k ) ds + t e t τ R B(u k ) ds Q + B (l k, l k ) dτ and it follows by induction that l k. We prove the claim of the lemma by induction. Assume holds for some k 1. Then l k+1 l k =f + + l k 1 l k u k u k 1 [e t R B(u k ) ds e t R B(u k 1 ) ds ] t t [e t τ R B(u k ) ds e t τ R B(u k 1 ) ds ] Q + B (l k, l k ) dτ [e t τ R(u k 1) ds ( Q + B (l k, l k ) Q + B (l k 1, l k 1 ) )]. Using (51), it follows that l k+1 l k Similarly we may write u k as u k+1 = f e t R B(l k ) ds + t e t τ R B(l k ) ds Q + B (u k, u k ) dτ by which it follows that u k+1 and, arguing as before, u k+1 u k. Moreover, since u k l k, the previous equation also gives u k+1 l k+1. Thus we have proved that l k 1 l k u k u k 1 and since this is true for all (t, x, v), we may remove the symbol and conclude that l k l k+1 u k+1 u k, for all (t, x, v). To complete the induction argument, it remains to show that l 1 u 1 u. The inequality u 1 u is the beginning condition assumption. To prove l 1 u 1 we write, since Q + B (l, l ) =, l 1 = f e t R(u) ds. This implies from one hand that l 1 and, on the other hand, that l 1 f. Moreover, since R B (l ) =, u 1 = f + t Q + B (u, u ) ds f l 1. Proposition 3. There exists R = R (b, β) such that for all R R, if f M R β and u M R β, then u k, l k, u, l M 2R β. 19

20 Proof. The proof follow by induction as a consequence of the inequalities l k f + u k f + and the estimates of Lemma 9 and Lemma 1. t t Q + B (l k, l k ) ds Q + B (u k, u k ) ds Corollary 3. Assume that the beginning condition holds for u M β 2R and f Mβ R. Then for a properly small R (depending on b, β), u = l and u coincides with the solution f of (48) from Theorem 2, which is therefore a mild solution of the Boltzmann equation. Proof. By the monotone convergence theorem, u, l satisfy Thus the difference u l is u l = t l = f + u = f + t t [Q + B (l, l) Q B (l, u) ]ds [Q + B (u, u) Q B (u, l) ]ds. [Q + B (u, u l) + Q + B (u l, l) + Q B (l, u l) Q B (u l, l)]dτ and reasoning as in the proof of Lemma 12 we get, for a proper small R, u l < u l u = l. Substituting in the equation satisfied by u (or l) we obtain that u is a solution of (48) and therefore, by the uniqueness statement of Theorem 2, must coincide with f. Thus the main purpose of this section (proving the existence and uniqueness of mild solutions of the Boltzmann equation for small data) has been reduced to construct a function u that satisfies the beginning condition u 1 u or, equivalently, u 1 u, and u M β 2R. Observe that u 1 = f + = t t Let us choose u of the form From (52) we obtain u 1 u = f e β x 2 + where we used that t = e β x 2 Q + (u, u ) (s, x, v)ds S 2 Bu (s, x + (v v )s, v )u (s, x + (v v )s, v )dωdv ds. (52) t u (t, x, v) = e β x tv 2 w(v). Bw(v )w(v )e β( x+s(v v) 2 + x+s(v v ) 2) dωdv ds S 2 Be β x+s(v v ) 2 S 2 w(v )w(v )dωdv ds, x + s(v v ) 2 + x + s(v v ) 2 = x 2 + x + s(v v ) 2, 2

21 which we already used in the proof of Lemma 1. Thus by Lemma 8 we obtain Let (u 1 ( u )eβ x 2 sup f e β x 2) πb 2 w(v) + w(v )w(v x β )dωdv. S 2 Thus a sufficient condition for u 1 u is that where T is the operator Let G denote the space T (w)(v) = ψ(v) + ( ψ(v) = sup f e β x 2). x T (w)(v) = w(v), (53) πb 2 β S 2 w(v )w(v )dωdv. G = {g C ( ) : g(v) αe β v 2, for some α > } with norm g G = sup v e β v 2 g(v). Let G R denotes the ball in G with center on g =. Lemma 14. Let f M R β. There exists R = R = (b, β) such that for all R R, T maps G 2R into G 2R and it is a contraction. The proof of this result is left as exercise. Exercise 1. Prove the previous lemma. In conclusion we have proved the following Theorem 4. Consider an initial data f C ( ) for the Boltzmann equation such that f (x, v) ce β( x 2 + v 2), for some c, β >. Then there exists c > such that for all c < c, the Boltzmann equation has a unique mild solution f C ( ) such that f(t, x, v) 2ce β( x vt 2 + v 2). Exercise 11. Prove that the mild solutions in Theorem 4 satisfy the conservation laws of mass, momentum and energy. 9 Other concepts of solutions In this section we introduce two more concepts of solution to the Boltzmann equation: t f + v x f = Q B (f, f) (54) Multiplying (54) by a test function φ Cc ([, T ) ) and integrating by parts we obtain the identity T T f( t φ+v x φ)dvdxdt+ φ(, x, v)f (x, v)dvdx = φq B (f, f)dxdvdt. (55) 21

22 Definition 4. Let f L 1 loc (R3 ) a.e. non-negative. An a.e. non-negative function f L 1 loc ([, T ) R3 ) is said to be a local solution of the Boltzmann equation (54) in the sense of distributions with initial datum f in the interval [, T ) iff Q B (f, f) L 1 loc ([, T ) R3 ); The identity (55) is verified for all φ C c ([, T ). The solution is global if T =. Now let β(f) = log(1 + f). Substituting in the Boltzmann equation we obtain t β(f) + v x β(f) = f Q B(f, f). (56) Definition 5. Let f L 1 loc (R3 ) a.e. non-negative. An a.e. non-negative function f L 1 loc ([, T ) R3 ) is said to be a local solution of the Boltzmann equation (54) in the renormalized sense with initial datum f in the interval [, T ) iff Q B(f,f) 1+f L 1 loc ([, T ) R3 ); The equation (56) is verified in the sense of distributions. The renormalized solution is said to be global if T =. The condition that (56) holds in the sense of distributions means that T log(1 + f)[ t + v x φ]dvdxdt + holds for all φ C c ([, T ) ). = R 3 T φ(, x, v) log(1 + f )dvdx R 3 φ Q B(f, f) dvdxdt R 1 + f 3 Theorem 5. Assume that f L 1 loc ([, ) R3 ) is a.e. non-negative. If Q ± B (f, f) L1 loc([, ) ), (57) then the concept of mild, renormalized and distributional solution are equivalent. Under the milder condition Q ± B (f, f) L f loc([, ) ), (58) the concept of mild and renormalized solution are equivalent. The celebrated Theorem by Di Perna and Lions prove the existence of global mild solutions of the Boltzmann equation: Theorem 6. Under suitable conditions on the collision kernel B, which includes the hard sphere model B = ω (v v ), and for f L 1 ( ) such that f (1 + x 2 + v 2 )dvdx and f log f dvdx are bounded, 22

23 there exists f C([, ), L 1 ( )), renormalized solution of the Boltzmann equation. Moreover Q B (f, f) L ([, ), L 1 ( B R )), 1 + f Q + B (f, f) L 1 ([, ), L 1 ( B R )), 1 + f for all balls B R, thus in particular f is also a mild solution. The solution preserves mass and satisfies sup t f(1 + x vt 2 + v 2 + log f )dvdx <. 23

Fluid Dynamics from Kinetic Equations

Fluid Dynamics from Kinetic Equations Fluid Dynamics from Kinetic Equations François Golse Université Paris 7 & IUF, Laboratoire J.-L. Lions golse@math.jussieu.fr & C. David Levermore University of Maryland, Dept. of Mathematics & IPST lvrmr@math.umd.edu

More information

CHAPTER 9. Microscopic Approach: from Boltzmann to Navier-Stokes. In the previous chapter we derived the closed Boltzmann equation:

CHAPTER 9. Microscopic Approach: from Boltzmann to Navier-Stokes. In the previous chapter we derived the closed Boltzmann equation: CHAPTER 9 Microscopic Approach: from Boltzmann to Navier-Stokes In the previous chapter we derived the closed Boltzmann equation: df dt = f +{f,h} = I[f] where I[f] is the collision integral, and we have

More information

From Boltzmann Equations to Gas Dynamics: From DiPerna-Lions to Leray

From Boltzmann Equations to Gas Dynamics: From DiPerna-Lions to Leray From Boltzmann Equations to Gas Dynamics: From DiPerna-Lions to Leray C. David Levermore Department of Mathematics and Institute for Physical Science and Technology University of Maryland, College Park

More information

Hydrodynamic Limits for the Boltzmann Equation

Hydrodynamic Limits for the Boltzmann Equation Hydrodynamic Limits for the Boltzmann Equation François Golse Université Paris 7 & Laboratoire J.-L. Lions golse@math.jussieu.fr Academia Sinica, Taipei, December 2004 LECTURE 2 FORMAL INCOMPRESSIBLE HYDRODYNAMIC

More information

Global Maxwellians over All Space and Their Relation to Conserved Quantites of Classical Kinetic Equations

Global Maxwellians over All Space and Their Relation to Conserved Quantites of Classical Kinetic Equations Global Maxwellians over All Space and Their Relation to Conserved Quantites of Classical Kinetic Equations C. David Levermore Department of Mathematics and Institute for Physical Science and Technology

More information

On the Boltzmann equation: global solutions in one spatial dimension

On the Boltzmann equation: global solutions in one spatial dimension On the Boltzmann equation: global solutions in one spatial dimension Department of Mathematics & Statistics Colloque de mathématiques de Montréal Centre de Recherches Mathématiques November 11, 2005 Collaborators

More information

YAN GUO, JUHI JANG, AND NING JIANG

YAN GUO, JUHI JANG, AND NING JIANG LOCAL HILBERT EXPANSION FOR THE BOLTZMANN EQUATION YAN GUO, JUHI JANG, AND NING JIANG Abstract. We revisit the classical ork of Caflisch [C] for compressible Euler limit of the Boltzmann equation. By using

More information

Week 6 Notes, Math 865, Tanveer

Week 6 Notes, Math 865, Tanveer Week 6 Notes, Math 865, Tanveer. Energy Methods for Euler and Navier-Stokes Equation We will consider this week basic energy estimates. These are estimates on the L 2 spatial norms of the solution u(x,

More information

n v molecules will pass per unit time through the area from left to

n v molecules will pass per unit time through the area from left to 3 iscosity and Heat Conduction in Gas Dynamics Equations of One-Dimensional Gas Flow The dissipative processes - viscosity (internal friction) and heat conduction - are connected with existence of molecular

More information

Newtonian Mechanics. Chapter Classical space-time

Newtonian Mechanics. Chapter Classical space-time Chapter 1 Newtonian Mechanics In these notes classical mechanics will be viewed as a mathematical model for the description of physical systems consisting of a certain (generally finite) number of particles

More information

Continuum Mechanics Fundamentals

Continuum Mechanics Fundamentals Continuum Mechanics Fundamentals James R. Rice, notes for ES 220, 12 November 2009; corrections 9 December 2009 Conserved Quantities Let a conseved quantity have amount F per unit volume. Examples are

More information

Fundamentals of Fluid Dynamics: Elementary Viscous Flow

Fundamentals of Fluid Dynamics: Elementary Viscous Flow Fundamentals of Fluid Dynamics: Elementary Viscous Flow Introductory Course on Multiphysics Modelling TOMASZ G. ZIELIŃSKI bluebox.ippt.pan.pl/ tzielins/ Institute of Fundamental Technological Research

More information

From the Boltzmann Equation to an Incompressible Navier Stokes Fourier System

From the Boltzmann Equation to an Incompressible Navier Stokes Fourier System Arch. Rational Mech. Anal. 96 (00) 753 809 Digital Object Identifier (DOI) 0.007/s0005-009-054-5 From the Boltzmann Equation to an Incompressible Navier Stokes Fourier System C. David Levermore & Nader

More information

DIFFERENTIAL GEOMETRY, LECTURE 16-17, JULY 14-17

DIFFERENTIAL GEOMETRY, LECTURE 16-17, JULY 14-17 DIFFERENTIAL GEOMETRY, LECTURE 16-17, JULY 14-17 6. Geodesics A parametrized line γ : [a, b] R n in R n is straight (and the parametrization is uniform) if the vector γ (t) does not depend on t. Thus,

More information

for all subintervals I J. If the same is true for the dyadic subintervals I D J only, we will write ϕ BMO d (J). In fact, the following is true

for all subintervals I J. If the same is true for the dyadic subintervals I D J only, we will write ϕ BMO d (J). In fact, the following is true 3 ohn Nirenberg inequality, Part I A function ϕ L () belongs to the space BMO() if sup ϕ(s) ϕ I I I < for all subintervals I If the same is true for the dyadic subintervals I D only, we will write ϕ BMO

More information

Topics in Relativistic Astrophysics

Topics in Relativistic Astrophysics Topics in Relativistic Astrophysics John Friedman ICTP/SAIFR Advanced School in General Relativity Parker Center for Gravitation, Cosmology, and Astrophysics Part I: General relativistic perfect fluids

More information

To study the motion of a perfect gas, the conservation equations of continuity

To study the motion of a perfect gas, the conservation equations of continuity Chapter 1 Ideal Gas Flow The Navier-Stokes equations To study the motion of a perfect gas, the conservation equations of continuity ρ + (ρ v = 0, (1.1 momentum ρ D v Dt = p+ τ +ρ f m, (1.2 and energy ρ

More information

Kinetic relaxation models for reacting gas mixtures

Kinetic relaxation models for reacting gas mixtures Kinetic relaxation models for reacting gas mixtures M. Groppi Department of Mathematics and Computer Science University of Parma - ITALY Main collaborators: Giampiero Spiga, Giuseppe Stracquadanio, Univ.

More information

Fluid Approximations from the Boltzmann Equation for Domains with Boundary

Fluid Approximations from the Boltzmann Equation for Domains with Boundary Fluid Approximations from the Boltzmann Equation for Domains with Boundary C. David Levermore Department of Mathematics and Institute for Physical Science and Technology University of Maryland, College

More information

Kinetic theory of the ideal gas

Kinetic theory of the ideal gas Appendix H Kinetic theory of the ideal gas This Appendix contains sketchy notes, summarizing the main results of elementary kinetic theory. The students who are not familiar with these topics should refer

More information

Getting started: CFD notation

Getting started: CFD notation PDE of p-th order Getting started: CFD notation f ( u,x, t, u x 1,..., u x n, u, 2 u x 1 x 2,..., p u p ) = 0 scalar unknowns u = u(x, t), x R n, t R, n = 1,2,3 vector unknowns v = v(x, t), v R m, m =

More information

Lecture 5: Kinetic theory of fluids

Lecture 5: Kinetic theory of fluids Lecture 5: Kinetic theory of fluids September 21, 2015 1 Goal 2 From atoms to probabilities Fluid dynamics descrines fluids as continnum media (fields); however under conditions of strong inhomogeneities

More information

Fundamental equations of relativistic fluid dynamics

Fundamental equations of relativistic fluid dynamics CHAPTER VI Fundamental equations of relativistic fluid dynamics When the energy density becomes large as may happen for instance in compact astrophysical objects, in the early Universe, or in high-energy

More information

A Concise Course on Stochastic Partial Differential Equations

A Concise Course on Stochastic Partial Differential Equations A Concise Course on Stochastic Partial Differential Equations Michael Röckner Reference: C. Prevot, M. Röckner: Springer LN in Math. 1905, Berlin (2007) And see the references therein for the original

More information

Euler equation and Navier-Stokes equation

Euler equation and Navier-Stokes equation Euler equation and Navier-Stokes equation WeiHan Hsiao a a Department of Physics, The University of Chicago E-mail: weihanhsiao@uchicago.edu ABSTRACT: This is the note prepared for the Kadanoff center

More information

Stochastic Particle Methods for Rarefied Gases

Stochastic Particle Methods for Rarefied Gases CCES Seminar WS 2/3 Stochastic Particle Methods for Rarefied Gases Julian Köllermeier RWTH Aachen University Supervisor: Prof. Dr. Manuel Torrilhon Center for Computational Engineering Science Mathematics

More information

Kinetic theory of gases

Kinetic theory of gases Kinetic theory of gases Toan T. Nguyen Penn State University http://toannguyen.org http://blog.toannguyen.org Graduate Student seminar, PSU Jan 19th, 2017 Fall 2017, I teach a graduate topics course: same

More information

On the Interior Boundary-Value Problem for the Stationary Povzner Equation with Hard and Soft Interactions

On the Interior Boundary-Value Problem for the Stationary Povzner Equation with Hard and Soft Interactions On the Interior Boundary-Value Problem for the Stationary Povzner Equation with Hard and Soft Interactions Vladislav A. Panferov Department of Mathematics, Chalmers University of Technology and Göteborg

More information

An introduction to Birkhoff normal form

An introduction to Birkhoff normal form An introduction to Birkhoff normal form Dario Bambusi Dipartimento di Matematica, Universitá di Milano via Saldini 50, 0133 Milano (Italy) 19.11.14 1 Introduction The aim of this note is to present an

More information

at time t, in dimension d. The index i varies in a countable set I. We call configuration the family, denoted generically by Φ: U (x i (t) x j (t))

at time t, in dimension d. The index i varies in a countable set I. We call configuration the family, denoted generically by Φ: U (x i (t) x j (t)) Notations In this chapter we investigate infinite systems of interacting particles subject to Newtonian dynamics Each particle is characterized by its position an velocity x i t, v i t R d R d at time

More information

On Fluid Maxwell Equations

On Fluid Maxwell Equations On Fluid Maxwell Equations Tsutomu Kambe, (Former Professor, Physics), University of Tokyo, Abstract Fluid mechanics is a field theory of Newtonian mechanics of Galilean symmetry, concerned with fluid

More information

The Kolmogorov Law of turbulence

The Kolmogorov Law of turbulence What can rigorously be proved? IRMAR, UMR CNRS 6625. Labex CHL. University of RENNES 1, FRANCE Introduction Aim: Mathematical framework for the Kolomogorov laws. Table of contents 1 Incompressible Navier-Stokes

More information

analysis for transport equations and applications

analysis for transport equations and applications Multi-scale analysis for transport equations and applications Mihaï BOSTAN, Aurélie FINOT University of Aix-Marseille, FRANCE mihai.bostan@univ-amu.fr Numerical methods for kinetic equations Strasbourg

More information

1 Differentiable manifolds and smooth maps

1 Differentiable manifolds and smooth maps 1 Differentiable manifolds and smooth maps Last updated: April 14, 2011. 1.1 Examples and definitions Roughly, manifolds are sets where one can introduce coordinates. An n-dimensional manifold is a set

More information

12. MHD Approximation.

12. MHD Approximation. Phys780: Plasma Physics Lecture 12. MHD approximation. 1 12. MHD Approximation. ([3], p. 169-183) The kinetic equation for the distribution function f( v, r, t) provides the most complete and universal

More information

1 Phase Spaces and the Liouville Equation

1 Phase Spaces and the Liouville Equation Phase Spaces and the Liouville Equation emphasize the change of language from deterministic to probablistic description. Under the dynamics: ½ m vi = F i ẋ i = v i with initial data given. What is the

More information

Non-equilibrium mixtures of gases: modeling and computation

Non-equilibrium mixtures of gases: modeling and computation Non-equilibrium mixtures of gases: modeling and computation Lecture 1: and kinetic theory of gases Srboljub Simić University of Novi Sad, Serbia Aim and outline of the course Aim of the course To present

More information

Chapter 2: Fluid Dynamics Review

Chapter 2: Fluid Dynamics Review 7 Chapter 2: Fluid Dynamics Review This chapter serves as a short review of basic fluid mechanics. We derive the relevant transport equations (or conservation equations), state Newton s viscosity law leading

More information

arxiv: v1 [math.ap] 29 May 2018

arxiv: v1 [math.ap] 29 May 2018 Non-uniqueness of admissible weak solution to the Riemann problem for the full Euler system in D arxiv:805.354v [math.ap] 9 May 08 Hind Al Baba Christian Klingenberg Ondřej Kreml Václav Mácha Simon Markfelder

More information

LECTURE 3 Functional spaces on manifolds

LECTURE 3 Functional spaces on manifolds LECTURE 3 Functional spaces on manifolds The aim of this section is to introduce Sobolev spaces on manifolds (or on vector bundles over manifolds). These will be the Banach spaces of sections we were after

More information

Contents: 1. Minimization. 2. The theorem of Lions-Stampacchia for variational inequalities. 3. Γ -Convergence. 4. Duality mapping.

Contents: 1. Minimization. 2. The theorem of Lions-Stampacchia for variational inequalities. 3. Γ -Convergence. 4. Duality mapping. Minimization Contents: 1. Minimization. 2. The theorem of Lions-Stampacchia for variational inequalities. 3. Γ -Convergence. 4. Duality mapping. 1 Minimization A Topological Result. Let S be a topological

More information

2 Equations of Motion

2 Equations of Motion 2 Equations of Motion system. In this section, we will derive the six full equations of motion in a non-rotating, Cartesian coordinate 2.1 Six equations of motion (non-rotating, Cartesian coordinates)

More information

Review of fluid dynamics

Review of fluid dynamics Chapter 2 Review of fluid dynamics 2.1 Preliminaries ome basic concepts: A fluid is a substance that deforms continuously under stress. A Material olume is a tagged region that moves with the fluid. Hence

More information

V (r,t) = i ˆ u( x, y,z,t) + ˆ j v( x, y,z,t) + k ˆ w( x, y, z,t)

V (r,t) = i ˆ u( x, y,z,t) + ˆ j v( x, y,z,t) + k ˆ w( x, y, z,t) IV. DIFFERENTIAL RELATIONS FOR A FLUID PARTICLE This chapter presents the development and application of the basic differential equations of fluid motion. Simplifications in the general equations and common

More information

EXISTENCE OF GLOBAL WEAK SOLUTIONS TO A HYBRID VLASOV-MHD MODEL FOR MAGNETIZED PLASMAS

EXISTENCE OF GLOBAL WEAK SOLUTIONS TO A HYBRID VLASOV-MHD MODEL FOR MAGNETIZED PLASMAS EXISTENCE OF GLOBAL WEAK SOLUTIONS TO A HYBRID VLASOV-MHD MODEL FOR MAGNETIZED PLASMAS BIN CHENG, ENDRE SÜLI, AND CESARE TRONCI Abstract. We prove the global-in-time existence of large-data finite-energy

More information

Linear Ordinary Differential Equations

Linear Ordinary Differential Equations MTH.B402; Sect. 1 20180703) 2 Linear Ordinary Differential Equations Preliminaries: Matrix Norms. Denote by M n R) the set of n n matrix with real components, which can be identified the vector space R

More information

Convexity in R n. The following lemma will be needed in a while. Lemma 1 Let x E, u R n. If τ I(x, u), τ 0, define. f(x + τu) f(x). τ.

Convexity in R n. The following lemma will be needed in a while. Lemma 1 Let x E, u R n. If τ I(x, u), τ 0, define. f(x + τu) f(x). τ. Convexity in R n Let E be a convex subset of R n. A function f : E (, ] is convex iff f(tx + (1 t)y) (1 t)f(x) + tf(y) x, y E, t [0, 1]. A similar definition holds in any vector space. A topology is needed

More information

Nonlinear Control Lecture 5: Stability Analysis II

Nonlinear Control Lecture 5: Stability Analysis II Nonlinear Control Lecture 5: Stability Analysis II Farzaneh Abdollahi Department of Electrical Engineering Amirkabir University of Technology Fall 2010 Farzaneh Abdollahi Nonlinear Control Lecture 5 1/41

More information

7 The Navier-Stokes Equations

7 The Navier-Stokes Equations 18.354/12.27 Spring 214 7 The Navier-Stokes Equations In the previous section, we have seen how one can deduce the general structure of hydrodynamic equations from purely macroscopic considerations and

More information

Fluid equations, magnetohydrodynamics

Fluid equations, magnetohydrodynamics Fluid equations, magnetohydrodynamics Multi-fluid theory Equation of state Single-fluid theory Generalised Ohm s law Magnetic tension and plasma beta Stationarity and equilibria Validity of magnetohydrodynamics

More information

Plasmas as fluids. S.M.Lea. January 2007

Plasmas as fluids. S.M.Lea. January 2007 Plasmas as fluids S.M.Lea January 2007 So far we have considered a plasma as a set of non intereacting particles, each following its own path in the electric and magnetic fields. Now we want to consider

More information

Existence of global solutions to the Cauchy problem for the inelastic Boltzmann equation with near-vacuum data

Existence of global solutions to the Cauchy problem for the inelastic Boltzmann equation with near-vacuum data Existence of global solutions to the Cauchy problem for the inelastic Boltzmann equation with near-vacuum data Ricardo J. Alonso July 12, 28 Abstract The Cauchy problem for the inelastic Boltzmann equation

More information

Navier-Stokes Equation: Principle of Conservation of Momentum

Navier-Stokes Equation: Principle of Conservation of Momentum Navier-tokes Equation: Principle of Conservation of Momentum R. hankar ubramanian Department of Chemical and Biomolecular Engineering Clarkson University Newton formulated the principle of conservation

More information

Basic hydrodynamics. David Gurarie. 1 Newtonian fluids: Euler and Navier-Stokes equations

Basic hydrodynamics. David Gurarie. 1 Newtonian fluids: Euler and Navier-Stokes equations Basic hydrodynamics David Gurarie 1 Newtonian fluids: Euler and Navier-Stokes equations The basic hydrodynamic equations in the Eulerian form consist of conservation of mass, momentum and energy. We denote

More information

Exact Solutions of the Einstein Equations

Exact Solutions of the Einstein Equations Notes from phz 6607, Special and General Relativity University of Florida, Fall 2004, Detweiler Exact Solutions of the Einstein Equations These notes are not a substitute in any manner for class lectures.

More information

ALMOST EXPONENTIAL DECAY NEAR MAXWELLIAN

ALMOST EXPONENTIAL DECAY NEAR MAXWELLIAN ALMOST EXPONENTIAL DECAY NEAR MAXWELLIAN ROBERT M STRAIN AND YAN GUO Abstract By direct interpolation of a family of smooth energy estimates for solutions near Maxwellian equilibrium and in a periodic

More information

An introduction to Mathematical Theory of Control

An introduction to Mathematical Theory of Control An introduction to Mathematical Theory of Control Vasile Staicu University of Aveiro UNICA, May 2018 Vasile Staicu (University of Aveiro) An introduction to Mathematical Theory of Control UNICA, May 2018

More information

J10M.1 - Rod on a Rail (M93M.2)

J10M.1 - Rod on a Rail (M93M.2) Part I - Mechanics J10M.1 - Rod on a Rail (M93M.2) J10M.1 - Rod on a Rail (M93M.2) s α l θ g z x A uniform rod of length l and mass m moves in the x-z plane. One end of the rod is suspended from a straight

More information

Vector fields Lecture 2

Vector fields Lecture 2 Vector fields Lecture 2 Let U be an open subset of R n and v a vector field on U. We ll say that v is complete if, for every p U, there exists an integral curve, γ : R U with γ(0) = p, i.e., for every

More information

= ϕ r cos θ. 0 cos ξ sin ξ and sin ξ cos ξ. sin ξ 0 cos ξ

= ϕ r cos θ. 0 cos ξ sin ξ and sin ξ cos ξ. sin ξ 0 cos ξ 8. The Banach-Tarski paradox May, 2012 The Banach-Tarski paradox is that a unit ball in Euclidean -space can be decomposed into finitely many parts which can then be reassembled to form two unit balls

More information

arxiv: v1 [math.ap] 28 Apr 2009

arxiv: v1 [math.ap] 28 Apr 2009 ACOUSTIC LIMIT OF THE BOLTZMANN EQUATION: CLASSICAL SOLUTIONS JUHI JANG AND NING JIANG arxiv:0904.4459v [math.ap] 28 Apr 2009 Abstract. We study the acoustic limit from the Boltzmann equation in the framework

More information

The heat equation in time dependent domains with Neumann boundary conditions

The heat equation in time dependent domains with Neumann boundary conditions The heat equation in time dependent domains with Neumann boundary conditions Chris Burdzy Zhen-Qing Chen John Sylvester Abstract We study the heat equation in domains in R n with insulated fast moving

More information

Physics Dec The Maxwell Velocity Distribution

Physics Dec The Maxwell Velocity Distribution Physics 301 7-Dec-2005 29-1 The Maxwell Velocity Distribution The beginning of chapter 14 covers some things we ve already discussed. Way back in lecture 6, we calculated the pressure for an ideal gas

More information

Raktim Bhattacharya. . AERO 632: Design of Advance Flight Control System. Norms for Signals and Systems

Raktim Bhattacharya. . AERO 632: Design of Advance Flight Control System. Norms for Signals and Systems . AERO 632: Design of Advance Flight Control System Norms for Signals and. Raktim Bhattacharya Laboratory For Uncertainty Quantification Aerospace Engineering, Texas A&M University. Norms for Signals ...

More information

Generalized Gaussian Bridges of Prediction-Invertible Processes

Generalized Gaussian Bridges of Prediction-Invertible Processes Generalized Gaussian Bridges of Prediction-Invertible Processes Tommi Sottinen 1 and Adil Yazigi University of Vaasa, Finland Modern Stochastics: Theory and Applications III September 1, 212, Kyiv, Ukraine

More information

First and Second Order Differential Equations Lecture 4

First and Second Order Differential Equations Lecture 4 First and Second Order Differential Equations Lecture 4 Dibyajyoti Deb 4.1. Outline of Lecture The Existence and the Uniqueness Theorem Homogeneous Equations with Constant Coefficients 4.2. The Existence

More information

NOTES ON CALCULUS OF VARIATIONS. September 13, 2012

NOTES ON CALCULUS OF VARIATIONS. September 13, 2012 NOTES ON CALCULUS OF VARIATIONS JON JOHNSEN September 13, 212 1. The basic problem In Calculus of Variations one is given a fixed C 2 -function F (t, x, u), where F is defined for t [, t 1 ] and x, u R,

More information

g(x) = P (y) Proof. This is true for n = 0. Assume by the inductive hypothesis that g (n) (0) = 0 for some n. Compute g (n) (h) g (n) (0)

g(x) = P (y) Proof. This is true for n = 0. Assume by the inductive hypothesis that g (n) (0) = 0 for some n. Compute g (n) (h) g (n) (0) Mollifiers and Smooth Functions We say a function f from C is C (or simply smooth) if all its derivatives to every order exist at every point of. For f : C, we say f is C if all partial derivatives to

More information

The Distribution Function

The Distribution Function The Distribution Function As we have seen before the distribution function (or phase-space density) f( x, v, t) d 3 x d 3 v gives a full description of the state of any collisionless system. Here f( x,

More information

Fluid Equations for Rarefied Gases

Fluid Equations for Rarefied Gases 1 Fluid Equations for Rarefied Gases Jean-Luc Thiffeault Department of Applied Physics and Applied Mathematics Columbia University http://plasma.ap.columbia.edu/~jeanluc 23 March 2001 with E. A. Spiegel

More information

4. The Green Kubo Relations

4. The Green Kubo Relations 4. The Green Kubo Relations 4.1 The Langevin Equation In 1828 the botanist Robert Brown observed the motion of pollen grains suspended in a fluid. Although the system was allowed to come to equilibrium,

More information

REMARKS ON THE ACOUSTIC LIMIT FOR THE BOLTZMANN EQUATION

REMARKS ON THE ACOUSTIC LIMIT FOR THE BOLTZMANN EQUATION REMARKS ON THE ACOUSTIC LIMIT FOR THE BOLTZMANN EQUATION NING JIANG, C. DAVID LEVERMORE, AND NADER MASMOUDI Abstract. We use some new nonlinear estimates found in [1] to improve the results of [6] that

More information

Relativistic Mechanics

Relativistic Mechanics Physics 411 Lecture 9 Relativistic Mechanics Lecture 9 Physics 411 Classical Mechanics II September 17th, 2007 We have developed some tensor language to describe familiar physics we reviewed orbital motion

More information

Exercises: Brunn, Minkowski and convex pie

Exercises: Brunn, Minkowski and convex pie Lecture 1 Exercises: Brunn, Minkowski and convex pie Consider the following problem: 1.1 Playing a convex pie Consider the following game with two players - you and me. I am cooking a pie, which should

More information

Euler Equations: local existence

Euler Equations: local existence Euler Equations: local existence Mat 529, Lesson 2. 1 Active scalars formulation We start with a lemma. Lemma 1. Assume that w is a magnetization variable, i.e. t w + u w + ( u) w = 0. If u = Pw then u

More information

14. Energy transport.

14. Energy transport. Phys780: Plasma Physics Lecture 14. Energy transport. 1 14. Energy transport. Chapman-Enskog theory. ([8], p.51-75) We derive macroscopic properties of plasma by calculating moments of the kinetic equation

More information

Hypocoercivity for kinetic equations with linear relaxation terms

Hypocoercivity for kinetic equations with linear relaxation terms Hypocoercivity for kinetic equations with linear relaxation terms Jean Dolbeault dolbeaul@ceremade.dauphine.fr CEREMADE CNRS & Université Paris-Dauphine http://www.ceremade.dauphine.fr/ dolbeaul (A JOINT

More information

Entropy generation and transport

Entropy generation and transport Chapter 7 Entropy generation and transport 7.1 Convective form of the Gibbs equation In this chapter we will address two questions. 1) How is Gibbs equation related to the energy conservation equation?

More information

ON THE SELF-SIMILAR ASYMPTOTICS FOR GENERALIZED NON-LINEAR KINETIC MAXWELL MODELS

ON THE SELF-SIMILAR ASYMPTOTICS FOR GENERALIZED NON-LINEAR KINETIC MAXWELL MODELS ON THE SELF-SIMILAR ASYMPTOTICS FOR GENERALIZED NON-LINEAR KINETIC MAXWELL MODELS A.V. BOBYLEV( ), C. CERCIGNANI( ), I.M. GAMBA( ) Abstract. Maxwell models for nonlinear kinetic equations have many applications

More information

MACROSCOPIC VARIABLES, THERMAL EQUILIBRIUM. Contents AND BOLTZMANN ENTROPY. 1 Macroscopic Variables 3. 2 Local quantities and Hydrodynamics fields 4

MACROSCOPIC VARIABLES, THERMAL EQUILIBRIUM. Contents AND BOLTZMANN ENTROPY. 1 Macroscopic Variables 3. 2 Local quantities and Hydrodynamics fields 4 MACROSCOPIC VARIABLES, THERMAL EQUILIBRIUM AND BOLTZMANN ENTROPY Contents 1 Macroscopic Variables 3 2 Local quantities and Hydrodynamics fields 4 3 Coarse-graining 6 4 Thermal equilibrium 9 5 Two systems

More information

Fluid Equations for Rarefied Gases

Fluid Equations for Rarefied Gases 1 Fluid Equations for Rarefied Gases Jean-Luc Thiffeault Department of Applied Physics and Applied Mathematics Columbia University http://plasma.ap.columbia.edu/~jeanluc 21 May 2001 with E. A. Spiegel

More information

z x = f x (x, y, a, b), z y = f y (x, y, a, b). F(x, y, z, z x, z y ) = 0. This is a PDE for the unknown function of two independent variables.

z x = f x (x, y, a, b), z y = f y (x, y, a, b). F(x, y, z, z x, z y ) = 0. This is a PDE for the unknown function of two independent variables. Chapter 2 First order PDE 2.1 How and Why First order PDE appear? 2.1.1 Physical origins Conservation laws form one of the two fundamental parts of any mathematical model of Continuum Mechanics. These

More information

The incompressible Navier-Stokes equations in vacuum

The incompressible Navier-Stokes equations in vacuum The incompressible, Université Paris-Est Créteil Piotr Bogus law Mucha, Warsaw University Journées Jeunes EDPistes 218, Institut Elie Cartan, Université de Lorraine March 23th, 218 Incompressible Navier-Stokes

More information

EXISTENCE OF GLOBAL WEAK SOLUTIONS TO A HYBRID VLASOV-MHD MODEL FOR MAGNETIZED PLASMAS

EXISTENCE OF GLOBAL WEAK SOLUTIONS TO A HYBRID VLASOV-MHD MODEL FOR MAGNETIZED PLASMAS EXISTENCE OF GLOBAL WEAK SOLUTIONS TO A HYBRID VLASOV-MHD MODEL FOR MAGNETIZED PLASMAS BIN CHENG, ENDRE SÜLI, AND CESARE TRONCI Abstract. We prove the global-in-time existence of large-data finite-energy

More information

The first order quasi-linear PDEs

The first order quasi-linear PDEs Chapter 2 The first order quasi-linear PDEs The first order quasi-linear PDEs have the following general form: F (x, u, Du) = 0, (2.1) where x = (x 1, x 2,, x 3 ) R n, u = u(x), Du is the gradient of u.

More information

Final Review Prof. WAN, Xin

Final Review Prof. WAN, Xin General Physics I Final Review Prof. WAN, Xin xinwan@zju.edu.cn http://zimp.zju.edu.cn/~xinwan/ About the Final Exam Total 6 questions. 40% mechanics, 30% wave and relativity, 30% thermal physics. Pick

More information

On Quantizing an Ideal Monatomic Gas

On Quantizing an Ideal Monatomic Gas E. Fermi, ZP, 36, 92 1926 On Quantizing an Ideal Monatomic Gas E. Fermi (Received 1926) In classical thermodynamics the molecular heat (an constant volume) is c = ( 3 / 2 )k. (1) If, however, we are to

More information

i=1 β i,i.e. = β 1 x β x β 1 1 xβ d

i=1 β i,i.e. = β 1 x β x β 1 1 xβ d 66 2. Every family of seminorms on a vector space containing a norm induces ahausdorff locally convex topology. 3. Given an open subset Ω of R d with the euclidean topology, the space C(Ω) of real valued

More information

Entropic structure of the Landau equation. Coulomb interaction

Entropic structure of the Landau equation. Coulomb interaction with Coulomb interaction Laurent Desvillettes IMJ-PRG, Université Paris Diderot May 15, 2017 Use of the entropy principle for specific equations Spatially Homogeneous Kinetic equations: 1 Fokker-Planck:

More information

Electrodynamics Exam Solutions

Electrodynamics Exam Solutions Electrodynamics Exam Solutions Name: FS 215 Prof. C. Anastasiou Student number: Exercise 1 2 3 4 Total Max. points 15 15 15 15 6 Points Visum 1 Visum 2 The exam lasts 18 minutes. Start every new exercise

More information

Noether s Theorem. 4.1 Ignorable Coordinates

Noether s Theorem. 4.1 Ignorable Coordinates 4 Noether s Theorem 4.1 Ignorable Coordinates A central recurring theme in mathematical physics is the connection between symmetries and conservation laws, in particular the connection between the symmetries

More information

AA210A Fundamentals of Compressible Flow. Chapter 5 -The conservation equations

AA210A Fundamentals of Compressible Flow. Chapter 5 -The conservation equations AA210A Fundamentals of Compressible Flow Chapter 5 -The conservation equations 1 5.1 Leibniz rule for differentiation of integrals Differentiation under the integral sign. According to the fundamental

More information

Derivation of Kinetic Equations

Derivation of Kinetic Equations CHAPTER 2 Derivation of Kinetic Equations As we said, the mathematical object that we consider in Kinetic Theory is the distribution function 0 apple f(t, x, v). We will now be a bit more precise about

More information

Energy method for wave equations

Energy method for wave equations Energy method for wave equations Willie Wong Based on commit 5dfb7e5 of 2017-11-06 13:29 Abstract We give an elementary discussion of the energy method (and particularly the vector field method) in the

More information

Math The Laplacian. 1 Green s Identities, Fundamental Solution

Math The Laplacian. 1 Green s Identities, Fundamental Solution Math. 209 The Laplacian Green s Identities, Fundamental Solution Let be a bounded open set in R n, n 2, with smooth boundary. The fact that the boundary is smooth means that at each point x the external

More information

MATH 4030 Differential Geometry Lecture Notes Part 4 last revised on December 4, Elementary tensor calculus

MATH 4030 Differential Geometry Lecture Notes Part 4 last revised on December 4, Elementary tensor calculus MATH 4030 Differential Geometry Lecture Notes Part 4 last revised on December 4, 205 Elementary tensor calculus We will study in this section some basic multilinear algebra and operations on tensors. Let

More information

ON PERIODIC SOLUTIONS TO SOME LAGRANGIAN SYSTEM WITH TWO DEGREES OF FREEDOM

ON PERIODIC SOLUTIONS TO SOME LAGRANGIAN SYSTEM WITH TWO DEGREES OF FREEDOM ON PERIODIC SOLUTIONS TO SOME LAGRANGIAN SYSTEM WITH TWO DEGREES OF FREEDOM OLEG ZUBELEVICH DEPT. OF THEORETICAL MECHANICS, MECHANICS AND MATHEMATICS FACULTY, M. V. LOMONOSOV MOSCOW STATE UNIVERSITY RUSSIA,

More information

NORMS ON SPACE OF MATRICES

NORMS ON SPACE OF MATRICES NORMS ON SPACE OF MATRICES. Operator Norms on Space of linear maps Let A be an n n real matrix and x 0 be a vector in R n. We would like to use the Picard iteration method to solve for the following system

More information

Existence and Uniqueness

Existence and Uniqueness Chapter 3 Existence and Uniqueness An intellect which at a certain moment would know all forces that set nature in motion, and all positions of all items of which nature is composed, if this intellect

More information

hal , version 1-22 Nov 2009

hal , version 1-22 Nov 2009 Author manuscript, published in "Kinet. Relat. Models 1, 3 8) 355-368" PROPAGATION OF GEVREY REGULARITY FOR SOLUTIONS OF LANDAU EQUATIONS HUA CHEN, WEI-XI LI AND CHAO-JIANG XU Abstract. By using the energy-type

More information