Phase transitions in Kinetic Theory

Size: px
Start display at page:

Download "Phase transitions in Kinetic Theory"

Transcription

1 Phase transitions in Kinetic Theory Brown - FRG Meeting - May 2010 Raffaele Esposito esposito@univaq.it Dipartimento di Matematica pura ed applicata Università dell Aquila, Italy Phase transitions in Kinetic Theory p. 1/48

2 Outline The particle model. Kinetic description. Equilibrium, phase transition. Results: Stability for V-B and V-F-P in R; Instability for V-B in R. Joint works with Yan Guo and Rossana Marra: Arch.Rat.Mech.Anal.195, (2010), Commun.Math.Phys.296,1-33 (2010). Work in progress in a finite interval. Phase transitions in Kinetic Theory p. 2/48

3 The model Model introduced by Bastea and Lebowitz (1997). System ofn 1 red and N 2 blue hard spheres of radius a = 1 with unit mass in Λ R 3. Interactions: elastic collisions (color blind); long range Kac-type interaction between red and blue particles with a two body potential: ( ) x φ l (x) = A l U, U(r) = 0 for r > 1. l U is assumed smooth, non negative, decreasing and normalized ( dxu( x ) = 1) and A l 0 as l suitably. Phase transitions in Kinetic Theory p. 3/48

4 Boltzmann-Grad+Vlasov limit Λ = O(l 3 ) Mean free path λ = γ = λ l fixed. Λ (N 1 +N 2 )a 2. A l = γ 3 a 2 λ 2 = O(N 1 +N 2 ). Note that N 1 +N 2 = O(l 2 ), low density. By scaling space and time variables (with λ 1 ) and taking the formal limit in the BBGKY hierarchy one gets the kinetic equations below. Warning : The analog of Lanford theorem is not been proved. Phase transitions in Kinetic Theory p. 4/48

5 Boltzmann-Vlasov equation B-V t f 1 +v x f 1 +F 1 [f 2 ] v f 1 = B(f 1,f 1 )+B(f 1,f 2 ), t f 2 +v x f 2 +F 2 [f 1 ] v f 2 = B(f 2,f 2 )+B(f 2,f 1 ), f 1 = f red and f 2 = f blue probability distribution functions on the phase space Ω R 3, Ω = λ 1 Λ; Self-consistent forces F 1 [f 2 ], F 2 [f 1 ]: F i [f j ](x,t) = x dx γ 3 U(γ x x ) dvf j (x,v,t), i j. R 3 Ω Collisions: B(f,g) = dv R 3 ω =1 dω (v v ) ω [f(v )g(v ) f(v)g(v )], Phase transitions in Kinetic Theory p. 5/48

6 Remark Why not just one species? The interesting case for phase transitions, with one species, is the attractive one: U(r) 0. In order to have thermodynamic stability one needs to keep the hard core size finite on the kinetic scale. Not compatible with the Grad-Boltzmann limit. Phase transitions in Kinetic Theory p. 6/48

7 Vlasov-Fokker-Planck eq.n V-F-P No elastic collisions; system in contact with a thermal bath at inverse temperature β > 0, modeled by white noise force added to the deterministic evolution with long range interaction. Standard mean field arguments: limiting system t f 1 +v x f 1 +F 1 [f 2 ] v f 1 = Lf 1, t f 2 +v x f 2 +F 2 [f 1 ] v f 2 = Lf 2, Lf(v) = v (µ β v ( fµβ )), µ β = exp[ βv2 ] (2πβ 1 ) 3/2. Phase transitions in Kinetic Theory p. 7/48

8 Segregation Phase transitions in Kinetic Theory p. 8/48

9 Free energy functional F kin Ω (f1,f 2 ) = E Ω (f 1,f 2 )+β 1 H Ω (f 1,f 2 ), E Ω (f 1,f 2 ) = dx dv 1 [ ] Ω R 2 v2 f 1 (x,v)+f 2 (x,v) 3 + dx dx U( x x )ρ 1 (x)ρ 2 (x ), Ω Ω ρ i (x) = H Ω (f 1,f 2 ) = i=1,2 Ω dvf i (x,v), R 3 dx dvf i (x,v)lnf i (x,v). R 3 Phase transitions in Kinetic Theory p. 9/48

10 The functional FΩ kin is non increasing for any β > 0 under the V-B dynamics and for β given by the thermal bath inverse temperature for the V-F-P evolution. Entropy-energy competition. β small: entropy dominates. Disordered state. β large: energy dominates. Segregated states. Phase transitions in Kinetic Theory p. 10/48

11 Equilibrium Equilibrium solutions (both V-B and V-F-P): f 1 (x,v) = ρ 1 (x)µ β (v), β 1 lnρ 1 (x)+ β 1 lnρ 2 (x)+ Ω Ω f 2 (x,v) = ρ 2 (x)µ β (v), dx U( x x )ρ 2 (x ) = C 1, dx U( x x )ρ 1 (x ) = C 2. Euler-Lagrange equations for the spatial free energy functional F Ω [ρ 1,ρ 2 ] = β 1 dx[ρ 1 (x)lnρ 1 (x)+ρ 2 (x)lnρ 2 (x)] Ω + dx dx U( x x )ρ 1 (x)ρ 2 (x ). Ω Ω Phase transitions in Kinetic Theory p. 11/48

12 Local free energy Homogeneous minimizers: minimizers of the local free energy ϕ(ρ 1,ρ 2 ) = β 1 [ρ 1 lnρ 1 +ρ 2 lnρ 2 ]+ρ 1 ρ 2 Indeed, Ω dx F Ω [ρ 1,ρ 2 ] = dxϕ(ρ 1 (x),ρ 2 (x)) Ω dx U( x x )(ρ 1 (x) ρ 1 (x ))(ρ 2 (x ) ρ 2 (x)). Ω By rearrangement arguments (U decreasing) the non local term is non negative on minimizers, so minimizers are spatially homogeneous as much as they can. Phase transitions in Kinetic Theory p. 12/48

13 Homogeneous equilibrium states Set ρ = ρ 1 +ρ 2 ; m = ρ 1 ρ 2 ρ. ϕ(ρ 1,ρ 2 ) = β 1 ρlnρ+ 1 4 ρ2 +ρ 2 f ρ (m) f ρ (m) = m2 4 +(ρβ) 1[ 1 m 2 ln 1 m m 2 ln 1+m ] 2 Graph ofm f ρ (m) forρβ > 2. Phase transitions in Kinetic Theory p. 13/48

14 Homogeneous equilibrium states The critical points for f have to solve with σ = 1 2 ρβ. m = tanh(σm), If σ 1: m = 0 is the only solution. If σ > 1: again m = 0 solution; Moreover m σ > 0 such that m = ±m σ is solution. Set ρ ± := 1 2 ρ(1±m1 2 ρβ). Phase transitions in Kinetic Theory p. 14/48

15 Homogeneous equilibrium states Therefore: ρβ 2 : m = 0: Miminizer of ϕ: ρ 1 = ρ 2 (mixed phase). ρβ > 2 : Minimizer: ρ 1 = ρ +,ρ 2 = ρ,(red rich phase); Minimizer: ρ 1 = ρ,ρ 2 = ρ +,(blue rich phase); Maximizer (local) : ρ 1 = ρ 2. Note: the minimizing total density is always unique. Phase transitions in Kinetic Theory p. 15/48

16 Non homogeneous equilibrium states Conservation of masses = Minimizers with the constraints 1 dxρ i (x) = n i, i = 1,2 Ω Ω n i given by the initial conditions. If < ρ n i < ρ +, i = 1,2 non homogeneous minimizers, regions blue rich and red rich separated by interfaces. Assume Ω a torus of size L. From rearrangement arguments (using U monotone), for L sufficiently large, the minimizers are symmetric monotone with values close to ρ + and ρ in regions separated by a small interface [Carlen, Carvalho, R.E., Lebowitz, Marra, Nonlinearity 16, (2003)]. Phase transitions in Kinetic Theory p. 16/48

17 Equilibrium states in R Ω = R. Fix ρ = 2 = σ = β; Critical point β c = 1. For β 1: the only possible equilibrium is the homogeneous mixed phase, with ρ 1 = ρ 2 = 1. For β > 1: three homogeneous states: the mixed one, ρ 1 = ρ 2, the red rich phase ρ 1 = 1+m β, ρ 2 = 1 m β and the blue rich phase ρ 1 = 1 m β, ρ 2 = 1+m β. For β > 1, non spatially homogeneous solutions (phase coexistence) by forcing the asymptotic values to ρ ± at : Two half-lines of red rich and blue rich phases separated by an interface of finite size. Phase transitions in Kinetic Theory p. 17/48

18 Equilibrium states in R Define ˆρ 1 (x) = { ρ, x < 0 ρ +, x > 0, ˆρ 2(x) = { ρ +, x < 0 ρ, x > 0. Excess free energy: [ ] F[ρ 1,ρ 2 ] = lim F ( l,l) [ρ 1,ρ 2 ] F ( l,l) [ˆρ 1, ˆρ 2 ]. l Remark: F[ρ 1,ρ 2 ] is not finite if lim ρ 1 ρ ± or x ± lim ρ 2 ρ. x ± Phase transitions in Kinetic Theory p. 18/48

19 Front solution Theorem[Carlen, Carvalho, R.E., Lebowitz, Marra; ARMA 194, (2009)] Letβ > 1. There is a unique (up to translations) minimizer to the excess free energy F. Let ρ = ( ρ1, ρ 2 ) be the one such that ρ 1 (0) = ρ 2 (0). ρ is smooth;ρ < ρ i (x) < ρ +, i=1,2; ρ 1 is increasing and ρ 2 is decreasing; β 1 ln ρ 1 +U ρ 2 = C = β 1 ln ρ 2 +U ρ 1 ; Phase transitions in Kinetic Theory p. 19/48

20 Front solution Moreover β 1 ρ 1 + ρ 1U ρ 2 = 0 = β 1 ρ 2 + ρ 1U ρ 1 ; ρ 1 (x) = ρ 2 ( x), ρ 1 (x) = ρ 2 ( x); α > 0: ρ 1 (x) ρ ± e α x 0, x ± ; ρ 2 (x) ρ e α x 0, x ±. Phase transitions in Kinetic Theory p. 20/48

21 Front solution Phase transitions in Kinetic Theory p. 21/48

22 Stability Question: Are the equilibrium states stable w.r.t. perturbations of the initial conditions in the time evolutions V-B and V-F-P? Expected answer: Minimizers are stable, maximizers are unstable. Results: Case Ω = R; V-F-P evolution: asymptotic stability of the minimizers. V-B evolution: stability of the minimizers, instability of the maximizer. Open problems: Instability of the maximizer for V-F-P and asymptotic stability of the minimizers for V-B. Ω = [ L,L], periodic b.c.,llarge enough. Phase transitions in Kinetic Theory p. 22/48

23 Stability for the V-F-P Main problem: the force cannot be small: small force = no phase transition. For small force, convergence to equilibrium and rate by Villani. This would cover the high temperature regime. For low temperatures, multiple equilibrium states. Difficult case: front. Homogeneous minimizers are simpler. Assume f i 0 (x,v) = ρ i(x)µ β (v)+h i (x,v,0), x R, v R 3. Define h i (x,v,t) := f i (x,v,t) ρ i (x)µ β (v). Phase transitions in Kinetic Theory p. 23/48

24 Stability for the V-F-P Equations for h i : t h i +G i h i = Lh i F i [h] vx h i, G i h i = v x x h i (U ρ j) vx h i ) + (U x dvh j (,v,t) βv x M ρ i R 3 Norms: denotes the L 2 (R R 3 ) with weight ( ρ i µ β ) 1 : f 2 = i=1,2 R R3 dxdv f(x,v)2 ρ(x)µ β (v) Phase transitions in Kinetic Theory p. 24/48

25 Stability for the V-F-P Null space of L: kern(l) = {(u 1,u 2 ) = (a 1 µ β,a 2 µ β )}. P projector on kern(l),p = 1 P ; = ( x, t ). Dissipation norm: f 2 D = P f 2 + v P f 2. Weighted norms: z γ = (1+ x 2 ) γ, f γ = z γ f ; f D,γ = z γ f D Symmetry: Assume h 1 (x,v,0) = h 2 ( x,rv,0) with Rv = ( v x,v y,v z ). Note that this is the same symmetry of the front. The symmetry is preserved in time. Phase transitions in Kinetic Theory p. 25/48

26 Stability for the V-F-P Theorem[ARMA 195, (2010)] There is δ > 0 s.t. if h(,0) + h(,0) < δ, then there is a unique global solution to the equation forh. Moreover there isk > 0 such that d ( h(t) 2 + t h(t) 2 + x h(t) 2) dt +K ( h(t) 2 D + th(t) 2 D + xh(t) 2 D) 0. If, forγ > 0 sufficiently small, h(,0) γ + h(,0) γ+ 1 2 < δ then the same norms are bounded at any time by the initial data and we have the decay estimate h(t) 2 + h(t) 2 C [ 1+ t ] [ ] 2γ h(0) 2 γ + h(0) 2 1 2γ +γ. 2 Phase transitions in Kinetic Theory p. 26/48

27 Main tools Spectral gap for L: there is ν 0 > 0 s.t. (g,lg) ν 0 P g 2 D. This is used to control P h(t). Control P h(t) = (g 1 µ β,g 2 µ β ): (Ag) 1 = β 1g 1 ρ 1 +U g 2, (Ag) 2 = β 1g 2 ρ 2 +U g 1. Note that (g,ag) = d2 ds 2 ˆF( ρ+sg) s=0. Phase transitions in Kinetic Theory p. 27/48

28 Main tools The operator A has a null space kern(a) = {α( ρ 1, ρ 2 )}. Let P is the projector on kern(a) and P = 1 P. (Transl. invar.) Spectral gap for A: there is λ > 0 s.t. (g,ag) λ(p g,p g). The component of h(t) in kern(a) is not under control. The symmetry condition ensures that h(t) is orthogonal to kern(a). Lower bound for (Au) : There is C > 0 such that (Au) 2 C Qu 2. where Q is the orthogonal projection on the orthogonal complement of ρ. Phase transitions in Kinetic Theory p. 28/48

29 Remarks The same results hold for the mixed phase above the critical temperature. We do not have the instability of the mixed phase below the critical temperature. The construction of the growing mode presented below for V-B, fails for V-F-P because of the unboundedness of the F-P operator L. Phase transitions in Kinetic Theory p. 29/48

30 Results for V-B Theorem[CMP 296,1-33 (2010)]: Assume ρ = 2. β < 1: The unique equilibrium(f 1,f 2 ) = (µ β,µ β ) is stable. β > 1: the homogeneous equilibrium states (f 1,f 2 ) = (ρ + µ β,ρ µ β ) and(f 1,f 2 ) = (ρ µ β,ρ + µ β ) are stable; the equilibrium(f 1,f 2 ) = ( ρ 1 (x)µ β, ρ 2 (x)µ β ) is stable w.r.t. symmetric perturbations; the homogeneous equilibrium(f 1,f 2 ) = (µ β,µ β ) is unstable. Here stability and instability are in L (R R 3 ) and in H 1 (R R 3 ). Symmetric perturbation means again h 1 (x,v) = h 2 ( x,rv), where Rv = ( v x,v y,v z ). Phase transitions in Kinetic Theory p. 30/48

31 Remarks No convergence to the equilibrium is stated. This has to be compared with the Vlasov-Fokker-Plank case where there is an algebraic rate of convergence. No instability result for VFP. In order to have phase transitions: force not small. Treating the force terms as perturbations does not work. Strategy based on entropy-energy arguments: L 2 estimates promoted to L by analysis of the characteristics. Crucial step: spectral gap for the second derivative of the free energy. The instability is based on the construction of a growing mode for the linear collisionless case, perturbation arguments and persistence of the gorwing mode at non linear level. Phase transitions in Kinetic Theory p. 31/48

32 Free energy functional Given the equilibrium state (M 1,M 2 ) = (ρ 1 µ β,ρ 2 µ β ), let g = (g 1,g 2 ) with g i = f i M i Mi be the deviation from the equilibrium. Define: M i (g) = R dx dv M R 3 i g i (x,v), 2 ] H(g) = dx dv [f i logf i M i logm i, + R R i=1 E(g) = R 2 i=1 R dx dv v2 2 g i Mi ( ) dxdyu( x y ) ρ f1 (x)ρ f2 (y) ρ 1 (x)ρ 2 (y), ρ fi = dvf i (x,v). Phase transitions in Kinetic Theory p. 32/48

33 Free energy functional The free energy functional is ( F(g) = H(g)+βE(g) C +1+log ( ) β 3/2 2 M i (g), 2π) The free energy functional does not increase: F(g(t)) F(g(0)) for any t > 0. Quadratic approximation. The coefficients have been chosen to cancel the linear part. For some f i = αf i +(1 α)m i, α (0,1): 2 R3 F(g) = dx dv (f i(t) M i ) 2 i=1 R 2 f i +β dx dyu( x y )(ρ f1 (t,x) ρ 1 (x))(ρ f2 (t,y) ρ 2 (y)). R R i=1 Phase transitions in Kinetic Theory p. 33/48

34 Free energy functional Lemma. Ifu i = ρ fi ρ i s.t. P(u 1,u 2 ) = 0, then there areα > 0 and κ sufficiently small so that α i=1,2 R { (f i (t) M i ) 2 dx dv 1 R M { fi (t) M i κm i } 3 i + f i (t) M i 1 { fi (t) M i κm i } F(g(0)). } Remark: It is crucial that the initial perturbation is orthogonal to the null space ofa. This is trivial for the spatially homogeneous equilibrium, while it is ensured by the symmetry condition for the phase coexisting equilibrium. Phase transitions in Kinetic Theory p. 34/48

35 Main proposition Theorem: Letw(v) = (Σ+ v 2 ) γ, withσsufficiently large and γ > 3 2. If wg(0) + F(g(0)) < δ forδ sufficiently small, then there ist 0 > such that wg(t 0 ) 1 2 wg(0) +C T0 F(g(0)). The stability follows by iteration on the time interval. Phase transitions in Kinetic Theory p. 35/48

36 Growing mode Idea: Without collisions there is a growing mode. Collisions do not destroy the growing mode. The linearization of the equation for the perturbation is: t g +Lg = 0, Notation : µ = µ β ;ξ first component of the velocity v = (ξ,ζ), (Lg) i = ξ x g i βf( µg i+1 )ξ µ αl i g, α = 1 and L i g = 1 (B( µg i,2µ)+b(µ, ) µ(g 1 +g 2 )). µ Seek for a growing mode of the form g 1 (t,x,ξ,ζ) = e λt e ikx q(ξ,ζ), g 2 (t,x,ξ,ζ) = e λt e ikx q( ξ,ζ). Phase transitions in Kinetic Theory p. 36/48

37 Eigenvalue problem {λ+iξk}q βkiû(k) { R 3 q µdv } ξ µ αlq = 0. Proposition 1: Letβ > 1. There exists sufficiently smallα > 0 such that there is an eigenfunctionq(v) and the eigenvalueλwithrλ > 0. Proof. First assume α = 0. λ is found by O. Penrose criterion, β ξ 2 Û(k)k 2 µ(v) R λ 2 +k 2 ξ 2 dv = 1. 3 Indeed, since βû(0) > 1, by continuity there is k 0 > 0 such that βû(k 0) > 1 and hence a λ > 0 so that this is satisfied. Use Kato perturbation theorem to extend to α > 0 small. Phase transitions in Kinetic Theory p. 37/48

38 Eigenvalue problem Proposition 2: Letα 0 be the supremum of theα s such that Proposition 1 is true. Thenα 0 = +. Proof. Indeed, if α 0 < then, λ 0 = lim α α0 λ α exists (up to subsequences) and is a purely imaginary eigenvalue. It can be shown that the corresponding eigenfunction must be in the null space of L and this implies λ = 0. Moreover, collisions disappear for such an eigenfunction and we can use again the Penrose criterion which implies βû(k 0) = 1. This is in contradiction with the definition of k 0. This provides a linear growing mode for any α > 0. Remark: It is crucial that L is a bounded perturbation. It does not work with the Fokker-Plank operator which is unbounded. Non linear analysis. Bootstrap argument. Very technical. Phase transitions in Kinetic Theory p. 38/48

39 Instability theorem Theorem. Assumeβ > 1. There exist constantsk 0 > 0,θ > 0, C > 0,c > 0 and a family of initial 2π k 0 periodic data f δ i (0) = µ+ µg δ i (0) 0, withgδ (0) satisfying x,ξ g δ (0) L 2 + wg δ (0) L Cδ, forδ sufficiently small, but the solutiong δ (t) satisfies sup wg δ (t) L c sup g δ (t) L 2 cθ > 0. 0 t T δ 0 t T δ Here the escape time ist δ = 1 Rλ ln θ δ, Note that the growing mode is symmetric. The instability does not depend on the absence of symmetry. Phase transitions in Kinetic Theory p. 39/48

40 Work in progress Finite volume, 1d torus (with Y. Guo and R. Marra) Stability of the non constant minimizer double front ) Operator A on L 2 (T L ),T L the 1-d torus of size L. Derivative of the front is in the null. Null space? Spectral gap? Phase transitions in Kinetic Theory p. 40/48

41 Spectral gap A has a negative eigenvalue. Indeed, let w = (w 1,w 2 ) be a front on the torus such that Aw = 0. Define w = ( w 1, w 2 ) ( w,a w) w = T L w 1 ( w 1 w 1 U w 2 )+ w 2 ( w 2 w 2 U w 1 ) = 2 L 0 w 1U ( w 2 +w 2) 2 We have used the E-L equations 0 L w 2U ( w 1 +w 1) < 0 w 1 w 1 = U w 2, x 0; w 2 w 2 = U w 1, x 0 Show that the mass constraint kills the negative eigenvalue. Phase transitions in Kinetic Theory p. 41/48

42 Neumann b.c. Spectral gap true for anti-symmetric (by reflection) functions. Problem on the torus for symmetric functions reduced to the case of Neumann boundary conditions on [0,L]: (Âg) 1 = β 1 g 1 w 1 +Û g 2, (Âg) 2 = β 1 g 2 w 2 +βû g 1 Û(z,z ) = U(z,z )+U(z,R 0 z )+U(z,R L z ) R 0 reflection around zero and R L reflection around L. λ L < 0 minimum eigenvalue and ê its eigenfunction. Phase transitions in Kinetic Theory p. 42/48

43 Spectral gap We need spectral gap for functions in the hyperplane H = {h : L 0 h = 0}. We have spectral gap for functions in the orthogonal to ê. (u,âu) δ(u,u), if (u,ê) = 0. If the angle α between ê and H is too small we are in trouble: Phase transitions in Kinetic Theory p. 43/48

44 Spectral gap Decompose h H as aê + bû with û orthogonal to ê (h,âh) = a2 λ L +b 2 (û,âû) a 2 = cos 2 α, b 2 = sin 2 α. with sin α = 1 L L 0 ê. If ê decays fast enough b 2 L 1. λ L is negative Competition (h,âh) λ L + c L δ If λ L decays faster than L 1 (h,âh) > d(h,h) G. Manzi (2007) we can prove spectral gap for L large Phase transitions in Kinetic Theory p. 44/48

45 Spectrum Analysis of the spectrum using Markov chains. Generalize method by De Masi, Olivieri, Presutti (1998), Ising case. bound on the minimum eigenvalue λ L c 1 e γl λ L c 2 e γl exponential bound on the minimum eigenfunction ê ce γ L x ê < 0 spectral gap in a suitable weighted L for functions u in the orthogonal to ê. Implies spectral gap in L 2. Phase transitions in Kinetic Theory p. 45/48

46 Spectral gap Operator S (Su) i = w i Û u j, i j,i = 1,2 (u,âu) = dxw i u i (Âu) i = (u,u)+(u,su) i (u,s 2 u) = i u i w i Û (w j Û u i ) = (u,tu) Negative eigenvalue for  means eigenvalue for S greater than 1. We study the operators T 1 h = w 1 Û (w 2 Û h), T 2 h = w 2 Û (w 1 Û h). Phase transitions in Kinetic Theory p. 46/48

47 Markov chain Ĵ(x,x ) = dzû(x z)w 2(z) w 2 (x) dyû(z x ) M(x,x ) = p(x)ĵ(x,x ); p(x) = w 1 (x)w 2 (x) For λ L > 0 and ê(x) positive, define the Markov kernel K(x,y) = M(x,y)ê(y) λ 0 ê(x). Phase transitions in Kinetic Theory p. 47/48

48 The End Thanks! Phase transitions in Kinetic Theory p. 48/48

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

in Bounded Domains Ariane Trescases CMLA, ENS Cachan

in Bounded Domains Ariane Trescases CMLA, ENS Cachan CMLA, ENS Cachan Joint work with Yan GUO, Chanwoo KIM and Daniela TONON International Conference on Nonlinear Analysis: Boundary Phenomena for Evolutionnary PDE Academia Sinica December 21, 214 Outline

More information

Une approche hypocoercive L 2 pour l équation de Vlasov-Fokker-Planck

Une approche hypocoercive L 2 pour l équation de Vlasov-Fokker-Planck Une approche hypocoercive L 2 pour l équation de Vlasov-Fokker-Planck Jean Dolbeault dolbeaul@ceremade.dauphine.fr CEREMADE CNRS & Université Paris-Dauphine http://www.ceremade.dauphine.fr/ dolbeaul (EN

More information

Fourier Law and Non-Isothermal Boundary in the Boltzmann Theory

Fourier Law and Non-Isothermal Boundary in the Boltzmann Theory in the Boltzmann Theory Joint work with Raffaele Esposito, Yan Guo, Rossana Marra DPMMS, University of Cambridge ICERM November 8, 2011 Steady Boltzmann Equation Steady Boltzmann Equation v x F = Q(F,

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

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

Decay rates for partially dissipative hyperbolic systems

Decay rates for partially dissipative hyperbolic systems Outline Decay rates for partially dissipative hyperbolic systems Basque Center for Applied Mathematics Bilbao, Basque Country, Spain zuazua@bcamath.org http://www.bcamath.org/zuazua/ Numerical Methods

More information

Entropy-dissipation methods I: Fokker-Planck equations

Entropy-dissipation methods I: Fokker-Planck equations 1 Entropy-dissipation methods I: Fokker-Planck equations Ansgar Jüngel Vienna University of Technology, Austria www.jungel.at.vu Introduction Boltzmann equation Fokker-Planck equations Degenerate parabolic

More information

Semigroup factorization and relaxation rates of kinetic equations

Semigroup factorization and relaxation rates of kinetic equations Semigroup factorization and relaxation rates of kinetic equations Clément Mouhot, University of Cambridge Analysis and Partial Differential Equations seminar University of Sussex 24th of february 2014

More information

Different types of phase transitions for a simple model of alignment of oriented particles

Different types of phase transitions for a simple model of alignment of oriented particles Different types of phase transitions for a simple model of alignment of oriented particles Amic Frouvelle Université Paris Dauphine Joint work with Jian-Guo Liu (Duke University, USA) and Pierre Degond

More information

Lecture Notes on PDEs

Lecture Notes on PDEs Lecture Notes on PDEs Alberto Bressan February 26, 2012 1 Elliptic equations Let IR n be a bounded open set Given measurable functions a ij, b i, c : IR, consider the linear, second order differential

More information

Myopic Models of Population Dynamics on Infinite Networks

Myopic Models of Population Dynamics on Infinite Networks Myopic Models of Population Dynamics on Infinite Networks Robert Carlson Department of Mathematics University of Colorado at Colorado Springs rcarlson@uccs.edu June 30, 2014 Outline Reaction-diffusion

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

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

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

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

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

Effective dynamics for the (overdamped) Langevin equation

Effective dynamics for the (overdamped) Langevin equation Effective dynamics for the (overdamped) Langevin equation Frédéric Legoll ENPC and INRIA joint work with T. Lelièvre (ENPC and INRIA) Enumath conference, MS Numerical methods for molecular dynamics EnuMath

More information

A model of alignment interaction for oriented particles with phase transition

A model of alignment interaction for oriented particles with phase transition A model of alignment interaction for oriented particles with phase transition Amic Frouvelle Archimedes Center for Modeling, Analysis & Computation (ACMAC) University of Crete, Heraklion, Crete, Greece

More information

Stability of an abstract wave equation with delay and a Kelvin Voigt damping

Stability of an abstract wave equation with delay and a Kelvin Voigt damping Stability of an abstract wave equation with delay and a Kelvin Voigt damping University of Monastir/UPSAY/LMV-UVSQ Joint work with Serge Nicaise and Cristina Pignotti Outline 1 Problem The idea Stability

More information

Mathematical modelling of collective behavior

Mathematical modelling of collective behavior Mathematical modelling of collective behavior Young-Pil Choi Fakultät für Mathematik Technische Universität München This talk is based on joint works with José A. Carrillo, Maxime Hauray, and Samir Salem

More information

Random dynamical systems with microstructure

Random dynamical systems with microstructure Random dynamical systems with microstructure Renato Feres Washington University, St. Louis ESI, July 2011 1/37 Acknowledgements Different aspects of this work are joint with: Tim Chumley (Central limit

More information

VALIDITY OF THE BOLTZMANN EQUATION

VALIDITY OF THE BOLTZMANN EQUATION VALIDITY OF THE BOLTZMANN EQUATION BEYOND HARD SPHERES based on joint work with M. Pulvirenti and C. Saffirio Sergio Simonella Technische Universität München Sergio Simonella - TU München Academia Sinica

More information

A model of alignment interaction for oriented particles with phase transition

A model of alignment interaction for oriented particles with phase transition A model of alignment interaction for oriented particles with phase transition Amic Frouvelle ACMAC Joint work with Jian-Guo Liu (Duke University, USA) and Pierre Degond (Institut de Mathématiques de Toulouse,

More information

1 Lyapunov theory of stability

1 Lyapunov theory of stability M.Kawski, APM 581 Diff Equns Intro to Lyapunov theory. November 15, 29 1 1 Lyapunov theory of stability Introduction. Lyapunov s second (or direct) method provides tools for studying (asymptotic) stability

More information

8.333: Statistical Mechanics I Fall 2007 Test 2 Review Problems

8.333: Statistical Mechanics I Fall 2007 Test 2 Review Problems 8.333: Statistical Mechanics I Fall 007 Test Review Problems The second in-class test will take place on Wednesday 10/4/07 from :30 to 4:00 pm. There will be a recitation with test review on Monday 10//07.

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

Phase Transitions, Hysteresis, and Hyperbolicity for Self-Organized Alignment Dynamics

Phase Transitions, Hysteresis, and Hyperbolicity for Self-Organized Alignment Dynamics Arch. Rational ech. Anal. 6 (05) 63 5 Digital Object Identifier (DOI) 0.007/s0005-04-0800-7 Phase Transitions, Hysteresis, and Hyperbolicity for Self-Organized Alignment Dynamics Pierre Degond, Amic Frouvelle

More information

From the Newton equation to the wave equation in some simple cases

From the Newton equation to the wave equation in some simple cases From the ewton equation to the wave equation in some simple cases Xavier Blanc joint work with C. Le Bris (EPC) and P.-L. Lions (Collège de France) Université Paris Diderot, FRACE http://www.ann.jussieu.fr/

More information

Exponential tail behavior for solutions to the homogeneous Boltzmann equation

Exponential tail behavior for solutions to the homogeneous Boltzmann equation Exponential tail behavior for solutions to the homogeneous Boltzmann equation Maja Tasković The University of Texas at Austin Young Researchers Workshop: Kinetic theory with applications in physical sciences

More information

Alignment processes on the sphere

Alignment processes on the sphere Alignment processes on the sphere Amic Frouvelle CEREMADE Université Paris Dauphine Joint works with : Pierre Degond (Imperial College London) and Gaël Raoul (École Polytechnique) Jian-Guo Liu (Duke University)

More information

Stochastic Dynamic Programming: The One Sector Growth Model

Stochastic Dynamic Programming: The One Sector Growth Model Stochastic Dynamic Programming: The One Sector Growth Model Esteban Rossi-Hansberg Princeton University March 26, 2012 Esteban Rossi-Hansberg () Stochastic Dynamic Programming March 26, 2012 1 / 31 References

More information

Different types of phase transitions for a simple model of alignment of oriented particles

Different types of phase transitions for a simple model of alignment of oriented particles Different types of phase transitions for a simple model of alignment of oriented particles Amic Frouvelle CEREMADE Université Paris Dauphine Joint work with Jian-Guo Liu (Duke University, USA) and Pierre

More information

A particle-in-cell method with adaptive phase-space remapping for kinetic plasmas

A particle-in-cell method with adaptive phase-space remapping for kinetic plasmas A particle-in-cell method with adaptive phase-space remapping for kinetic plasmas Bei Wang 1 Greg Miller 2 Phil Colella 3 1 Princeton Institute of Computational Science and Engineering Princeton University

More information

Statistical Mechanics of Active Matter

Statistical Mechanics of Active Matter Statistical Mechanics of Active Matter Umberto Marini Bettolo Marconi University of Camerino, Italy Naples, 24 May,2017 Umberto Marini Bettolo Marconi (2017) Statistical Mechanics of Active Matter 2017

More information

Exponential moments for the homogeneous Kac equation

Exponential moments for the homogeneous Kac equation Exponential moments for the homogeneous Kac equation Maja Tasković University of Pennsylvania Young Researchers Workshop: Stochastic and deterministic methods in kinetic theory, Duke University, November

More information

Ergodic Theorems. Samy Tindel. Purdue University. Probability Theory 2 - MA 539. Taken from Probability: Theory and examples by R.

Ergodic Theorems. Samy Tindel. Purdue University. Probability Theory 2 - MA 539. Taken from Probability: Theory and examples by R. Ergodic Theorems Samy Tindel Purdue University Probability Theory 2 - MA 539 Taken from Probability: Theory and examples by R. Durrett Samy T. Ergodic theorems Probability Theory 1 / 92 Outline 1 Definitions

More information

Some lecture notes for Math 6050E: PDEs, Fall 2016

Some lecture notes for Math 6050E: PDEs, Fall 2016 Some lecture notes for Math 65E: PDEs, Fall 216 Tianling Jin December 1, 216 1 Variational methods We discuss an example of the use of variational methods in obtaining existence of solutions. Theorem 1.1.

More information

Math 2930 Worksheet Final Exam Review

Math 2930 Worksheet Final Exam Review Math 293 Worksheet Final Exam Review Week 14 November 3th, 217 Question 1. (* Solve the initial value problem y y = 2xe x, y( = 1 Question 2. (* Consider the differential equation: y = y y 3. (a Find the

More information

Phase-field systems with nonlinear coupling and dynamic boundary conditions

Phase-field systems with nonlinear coupling and dynamic boundary conditions 1 / 46 Phase-field systems with nonlinear coupling and dynamic boundary conditions Cecilia Cavaterra Dipartimento di Matematica F. Enriques Università degli Studi di Milano cecilia.cavaterra@unimi.it VIII

More information

A model of alignment interaction for oriented particles with phase transition

A model of alignment interaction for oriented particles with phase transition A model of alignment interaction for oriented particles with phase transition Amic Frouvelle Institut de Mathématiques de Toulouse Joint work with Jian-Guo Liu (Duke Univ.) and Pierre Degond (IMT) Amic

More information

13 PDEs on spatially bounded domains: initial boundary value problems (IBVPs)

13 PDEs on spatially bounded domains: initial boundary value problems (IBVPs) 13 PDEs on spatially bounded domains: initial boundary value problems (IBVPs) A prototypical problem we will discuss in detail is the 1D diffusion equation u t = Du xx < x < l, t > finite-length rod u(x,

More information

Global existence for the ion dynamics in the Euler-Poisson equations

Global existence for the ion dynamics in the Euler-Poisson equations Global existence for the ion dynamics in the Euler-Poisson equations Yan Guo (Brown U), Benoît Pausader (Brown U). FRG Meeting May 2010 Abstract We prove global existence for solutions of the Euler-Poisson/Ion

More information

Knudsen Diffusion and Random Billiards

Knudsen Diffusion and Random Billiards Knudsen Diffusion and Random Billiards R. Feres http://www.math.wustl.edu/ feres/publications.html November 11, 2004 Typeset by FoilTEX Gas flow in the Knudsen regime Random Billiards [1] Large Knudsen

More information

SPECTRAL PROPERTIES OF THE LAPLACIAN ON BOUNDED DOMAINS

SPECTRAL PROPERTIES OF THE LAPLACIAN ON BOUNDED DOMAINS SPECTRAL PROPERTIES OF THE LAPLACIAN ON BOUNDED DOMAINS TSOGTGEREL GANTUMUR Abstract. After establishing discrete spectra for a large class of elliptic operators, we present some fundamental spectral properties

More information

Nonlinear convective stability of travelling fronts near Turing and Hopf instabilities

Nonlinear convective stability of travelling fronts near Turing and Hopf instabilities Nonlinear convective stability of travelling fronts near Turing and Hopf instabilities Margaret Beck Joint work with Anna Ghazaryan, University of Kansas and Björn Sandstede, Brown University September

More information

Exponential methods for kinetic equations

Exponential methods for kinetic equations Exponential methods for kinetic equations Lorenzo Pareschi Department of Mathematics & CMCS University of Ferrara, Italy http://utenti.unife.it/lorenzo.pareschi/ lorenzo.pareschi@unife.it Joint research

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

Hydrodynamic Limit with Geometric Correction in Kinetic Equations

Hydrodynamic Limit with Geometric Correction in Kinetic Equations Hydrodynamic Limit with Geometric Correction in Kinetic Equations Lei Wu and Yan Guo KI-Net Workshop, CSCAMM University of Maryland, College Park 2015-11-10 1 Simple Model - Neutron Transport Equation

More information

Lecture 4. Chapter 4: Lyapunov Stability. Eugenio Schuster. Mechanical Engineering and Mechanics Lehigh University.

Lecture 4. Chapter 4: Lyapunov Stability. Eugenio Schuster. Mechanical Engineering and Mechanics Lehigh University. Lecture 4 Chapter 4: Lyapunov Stability Eugenio Schuster schuster@lehigh.edu Mechanical Engineering and Mechanics Lehigh University Lecture 4 p. 1/86 Autonomous Systems Consider the autonomous system ẋ

More information

Numerical Methods for Differential Equations Mathematical and Computational Tools

Numerical Methods for Differential Equations Mathematical and Computational Tools Numerical Methods for Differential Equations Mathematical and Computational Tools Gustaf Söderlind Numerical Analysis, Lund University Contents V4.16 Part 1. Vector norms, matrix norms and logarithmic

More information

Twirl: Equating Quantum and Thermodynamic Entropy Productions október 6. 1 / 10

Twirl: Equating Quantum and Thermodynamic Entropy Productions október 6. 1 / 10 Twirl: Equating Quantum and Thermodynamic Entropy Productions Lajos Diósi Wigner Center, Budapest 2012. október 6. Acknowledgements go to: Hungarian Scientific Research Fund under Grant No. 75129 EU COST

More information

Separation of Variables in Linear PDE: One-Dimensional Problems

Separation of Variables in Linear PDE: One-Dimensional Problems Separation of Variables in Linear PDE: One-Dimensional Problems Now we apply the theory of Hilbert spaces to linear differential equations with partial derivatives (PDE). We start with a particular example,

More information

STABLE STEADY STATES AND SELF-SIMILAR BLOW UP SOLUTIONS

STABLE STEADY STATES AND SELF-SIMILAR BLOW UP SOLUTIONS STABLE STEADY STATES AND SELF-SIMILAR BLOW UP SOLUTIONS FOR THE RELATIVISTIC GRAVITATIONAL VLASOV- POISSON SYSTEM Mohammed Lemou CNRS and IRMAR, Rennes Florian Méhats University of Rennes 1 and IRMAR Pierre

More information

UNBOUNDED OPERATORS ON HILBERT SPACES. Let X and Y be normed linear spaces, and suppose A : X Y is a linear map.

UNBOUNDED OPERATORS ON HILBERT SPACES. Let X and Y be normed linear spaces, and suppose A : X Y is a linear map. UNBOUNDED OPERATORS ON HILBERT SPACES EFTON PARK Let X and Y be normed linear spaces, and suppose A : X Y is a linear map. Define { } Ax A op = sup x : x 0 = { Ax : x 1} = { Ax : x = 1} If A

More information

Automorphic Equivalence Within Gapped Phases

Automorphic Equivalence Within Gapped Phases 1 Harvard University May 18, 2011 Automorphic Equivalence Within Gapped Phases Robert Sims University of Arizona based on joint work with Sven Bachmann, Spyridon Michalakis, and Bruno Nachtergaele 2 Outline:

More information

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

On some singular limits for an atmosphere flow

On some singular limits for an atmosphere flow On some singular limits for an atmosphere flow Donatella Donatelli Dipartimento di Ingegneria e Scienze dell Informazione e Matematica Università degli Studi dell Aquila 67100 L Aquila, Italy donatella.donatelli@univaq.it

More information

Efficient Solvers for Stochastic Finite Element Saddle Point Problems

Efficient Solvers for Stochastic Finite Element Saddle Point Problems Efficient Solvers for Stochastic Finite Element Saddle Point Problems Catherine E. Powell c.powell@manchester.ac.uk School of Mathematics University of Manchester, UK Efficient Solvers for Stochastic Finite

More information

From Newton s law to the linear Boltzmann equation without cut-off

From Newton s law to the linear Boltzmann equation without cut-off From Newton s law to the linear Boltzmann equation without cut-off Nathalie Ayi (1) (1) Université Pierre et Marie Curie 27 Octobre 217 Nathalie AYI Séminaire LJLL 27 Octobre 217 1 / 35 Organisation of

More information

On Schrödinger equations with inverse-square singular potentials

On Schrödinger equations with inverse-square singular potentials On Schrödinger equations with inverse-square singular potentials Veronica Felli Dipartimento di Statistica University of Milano Bicocca veronica.felli@unimib.it joint work with Elsa M. Marchini and Susanna

More information

Group Method. December 16, Oberwolfach workshop Dynamics of Patterns

Group Method. December 16, Oberwolfach workshop Dynamics of Patterns CWI, Amsterdam heijster@cwi.nl December 6, 28 Oberwolfach workshop Dynamics of Patterns Joint work: A. Doelman (CWI/UvA), T.J. Kaper (BU), K. Promislow (MSU) Outline 2 3 4 Interactions of localized structures

More information

degenerate Fokker-Planck equations with linear drift

degenerate Fokker-Planck equations with linear drift TECHNISCHE UNIVERSITÄT WIEN Entropy method for hypocoercive & non-symmetric Fokker-Planck equations with linear drift Anton ARNOLD with Jan Erb; Franz Achleitner Paris, April 2017 Anton ARNOLD (TU Vienna)

More information

Anomalous transport of particles in Plasma physics

Anomalous transport of particles in Plasma physics Anomalous transport of particles in Plasma physics L. Cesbron a, A. Mellet b,1, K. Trivisa b, a École Normale Supérieure de Cachan Campus de Ker Lann 35170 Bruz rance. b Department of Mathematics, University

More information

Statistical mechanics of random billiard systems

Statistical mechanics of random billiard systems Statistical mechanics of random billiard systems Renato Feres Washington University, St. Louis Banff, August 2014 1 / 39 Acknowledgements Collaborators: Timothy Chumley, U. of Iowa Scott Cook, Swarthmore

More information

Nonlinear instability of periodic BGK waves for Vlasov-Poisson system

Nonlinear instability of periodic BGK waves for Vlasov-Poisson system Nonlinear instability of periodic BGK waves for Vlasov-Poisson system Zhiwu Lin Courant Institute Abstract We investigate the nonlinear instability of periodic Bernstein-Greene-Kruskal(BGK waves. Starting

More information

THE STOKES SYSTEM R.E. SHOWALTER

THE STOKES SYSTEM R.E. SHOWALTER THE STOKES SYSTEM R.E. SHOWALTER Contents 1. Stokes System 1 Stokes System 2 2. The Weak Solution of the Stokes System 3 3. The Strong Solution 4 4. The Normal Trace 6 5. The Mixed Problem 7 6. The Navier-Stokes

More information

Exponential approach to equilibrium for a stochastic NLS

Exponential approach to equilibrium for a stochastic NLS Exponential approach to equilibrium for a stochastic NLS CNRS and Cergy Bonn, Oct, 6, 2016 I. Stochastic NLS We start with the dispersive nonlinear Schrödinger equation (NLS): i u = u ± u p 2 u, on the

More information

Stochastic nonlinear Schrödinger equations and modulation of solitary waves

Stochastic nonlinear Schrödinger equations and modulation of solitary waves Stochastic nonlinear Schrödinger equations and modulation of solitary waves A. de Bouard CMAP, Ecole Polytechnique, France joint work with R. Fukuizumi (Sendai, Japan) Deterministic and stochastic front

More information

Symmetry breaking in Caffarelli-Kohn-Nirenberg inequalities

Symmetry breaking in Caffarelli-Kohn-Nirenberg inequalities Symmetry breaking in Caffarelli-Kohn-Nirenberg inequalities p. 1/47 Symmetry breaking in Caffarelli-Kohn-Nirenberg inequalities Jean Dolbeault dolbeaul@ceremade.dauphine.fr CEREMADE CNRS & Université Paris-Dauphine

More information

Solution Set of Homework # 2. Friday, September 09, 2017

Solution Set of Homework # 2. Friday, September 09, 2017 Temple University Department of Physics Quantum Mechanics II Physics 57 Fall Semester 17 Z. Meziani Quantum Mechanics Textboo Volume II Solution Set of Homewor # Friday, September 9, 17 Problem # 1 In

More information

Nonlinear stabilization via a linear observability

Nonlinear stabilization via a linear observability via a linear observability Kaïs Ammari Department of Mathematics University of Monastir Joint work with Fathia Alabau-Boussouira Collocated feedback stabilization Outline 1 Introduction and main result

More information

Math 46, Applied Math (Spring 2009): Final

Math 46, Applied Math (Spring 2009): Final Math 46, Applied Math (Spring 2009): Final 3 hours, 80 points total, 9 questions worth varying numbers of points 1. [8 points] Find an approximate solution to the following initial-value problem which

More information

Entropy and irreversibility in gas dynamics. Joint work with T. Bodineau, I. Gallagher and S. Simonella

Entropy and irreversibility in gas dynamics. Joint work with T. Bodineau, I. Gallagher and S. Simonella Entropy and irreversibility in gas dynamics Joint work with T. Bodineau, I. Gallagher and S. Simonella Kinetic description for a gas of hard spheres Hard sphere dynamics The system evolves under the combined

More information

PDE Constrained Optimization selected Proofs

PDE Constrained Optimization selected Proofs PDE Constrained Optimization selected Proofs Jeff Snider jeff@snider.com George Mason University Department of Mathematical Sciences April, 214 Outline 1 Prelim 2 Thms 3.9 3.11 3 Thm 3.12 4 Thm 3.13 5

More information

Dynamique d un gaz de sphères dures et équation de Boltzmann

Dynamique d un gaz de sphères dures et équation de Boltzmann Dynamique d un gaz de sphères dures et équation de Boltzmann Thierry Bodineau Travaux avec Isabelle Gallagher, Laure Saint-Raymond Outline. Linear Boltzmann equation & Brownian motion Linearized Boltzmann

More information

Phase transitions for particles in R 3

Phase transitions for particles in R 3 Phase transitions for particles in R 3 Sabine Jansen LMU Munich Konstanz, 29 May 208 Overview. Introduction to statistical mechanics: Partition functions and statistical ensembles 2. Phase transitions:

More information

Superconductivity in domains with corners

Superconductivity in domains with corners Superconductivity in domains with corners Virginie BONNAILLIE-NOËL IRMAR, Université Rennes 1 and ENS Cachan Bretagne Each China Normal University, Shanghai 2007.5.15 Outline 1. Introduction 2. Linear

More information

Stability of Feedback Solutions for Infinite Horizon Noncooperative Differential Games

Stability of Feedback Solutions for Infinite Horizon Noncooperative Differential Games Stability of Feedback Solutions for Infinite Horizon Noncooperative Differential Games Alberto Bressan ) and Khai T. Nguyen ) *) Department of Mathematics, Penn State University **) Department of Mathematics,

More information

DRIFT OF SPECTRALLY STABLE SHIFTED STATES ON STAR GRAPHS

DRIFT OF SPECTRALLY STABLE SHIFTED STATES ON STAR GRAPHS DRIFT OF SPECTRALLY STABLE SHIFTED STATES ON STAR GRAPHS ADILBEK KAIRZHAN, DMITRY E. PELINOVSKY, AND ROY H. GOODMAN Abstract. When the coefficients of the cubic terms match the coefficients in the boundary

More information

Math Ordinary Differential Equations

Math Ordinary Differential Equations Math 411 - Ordinary Differential Equations Review Notes - 1 1 - Basic Theory A first order ordinary differential equation has the form x = f(t, x) (11) Here x = dx/dt Given an initial data x(t 0 ) = x

More information

Lecture 4: Numerical solution of ordinary differential equations

Lecture 4: Numerical solution of ordinary differential equations Lecture 4: Numerical solution of ordinary differential equations Department of Mathematics, ETH Zürich General explicit one-step method: Consistency; Stability; Convergence. High-order methods: Taylor

More information

Small BGK waves and nonlinear Landau damping (higher dimensions)

Small BGK waves and nonlinear Landau damping (higher dimensions) Small BGK waves and nonlinear Landau damping higher dimensions Zhiwu Lin and Chongchun Zeng School of Mathematics Georgia Institute of Technology Atlanta, GA, USA Abstract Consider Vlasov-Poisson system

More information

On Weak Solutions to the Linear Boltzmann Equation with Inelastic Coulomb Collisions

On Weak Solutions to the Linear Boltzmann Equation with Inelastic Coulomb Collisions On Weak Solutions to the Linear Boltzmann Equation with Inelastic Coulomb Collisions Rolf Pettersson epartment of Mathematics, Chalmers University of Technology, SE-412 96 Göteborg, Sweden Abstract. This

More information

Approximation of fluid-structure interaction problems with Lagrange multiplier

Approximation of fluid-structure interaction problems with Lagrange multiplier Approximation of fluid-structure interaction problems with Lagrange multiplier Daniele Boffi Dipartimento di Matematica F. Casorati, Università di Pavia http://www-dimat.unipv.it/boffi May 30, 2016 Outline

More information

Classical Density Functional Theory

Classical Density Functional Theory Classical Density Functional Theory Towards interfaces in crystalline materials Gunnar Pruessner and Adrian Sutton Department of Physics Imperial College London INCEMS M12 meeting, Imperial College London,

More information

From Newton s law to the linear Boltzmann equation without cut-off

From Newton s law to the linear Boltzmann equation without cut-off From Newton s law to the linear Boltzmann equation without cut-off Nathalie Ayi 1,2 1 Laboratoire J.A. Dieudonné, Université de Nice Sophia-Antipolis 2 Project COFFEE, INRIA Sophia Antipolis Méditerranée

More information

Equivariant self-similar wave maps from Minkowski spacetime into 3-sphere

Equivariant self-similar wave maps from Minkowski spacetime into 3-sphere Equivariant self-similar wave maps from Minkowski spacetime into 3-sphere arxiv:math-ph/99126v1 17 Oct 1999 Piotr Bizoń Institute of Physics, Jagellonian University, Kraków, Poland March 26, 28 Abstract

More information

Brownian Motion: Fokker-Planck Equation

Brownian Motion: Fokker-Planck Equation Chapter 7 Brownian Motion: Fokker-Planck Equation The Fokker-Planck equation is the equation governing the time evolution of the probability density of the Brownian particla. It is a second order differential

More information

An asymptotic-preserving micro-macro scheme for Vlasov-BGK-like equations in the diffusion scaling

An asymptotic-preserving micro-macro scheme for Vlasov-BGK-like equations in the diffusion scaling An asymptotic-preserving micro-macro scheme for Vlasov-BGK-like equations in the diffusion scaling Anaïs Crestetto 1, Nicolas Crouseilles 2 and Mohammed Lemou 3 Saint-Malo 13 December 2016 1 Université

More information

Finite Elements for Elastic Shell Models in

Finite Elements for Elastic Shell Models in Elastic s in Advisor: Matthias Heinkenschloss Computational and Applied Mathematics Rice University 13 April 2007 Outline Elasticity in Differential Geometry of Shell Geometry and Equations The Plate Model

More information

Lecture 12: Detailed balance and Eigenfunction methods

Lecture 12: Detailed balance and Eigenfunction methods Miranda Holmes-Cerfon Applied Stochastic Analysis, Spring 2015 Lecture 12: Detailed balance and Eigenfunction methods Readings Recommended: Pavliotis [2014] 4.5-4.7 (eigenfunction methods and reversibility),

More information

Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics Journal of Computational and Applied Mathematics 234 (2) 538 544 Contents lists available at ScienceDirect Journal of Computational and Applied Mathematics journal homepage: www.elsevier.com/locate/cam

More information

SPDEs, criticality, and renormalisation

SPDEs, criticality, and renormalisation SPDEs, criticality, and renormalisation Hendrik Weber Mathematics Institute University of Warwick Potsdam, 06.11.2013 An interesting model from Physics I Ising model Spin configurations: Energy: Inverse

More information

Abstracts. Furstenberg The Dynamics of Some Arithmetically Generated Sequences

Abstracts. Furstenberg The Dynamics of Some Arithmetically Generated Sequences CHAOS AND DISORDER IN MATHEMATICS AND PHYSICS Monday 10:00-11:00 Okounkov Algebraic geometry of random surfaces 11:30-12:30 Furstenberg Dynamics of Arithmetically Generated Sequences 12:30-14:30 lunch

More information

On Chern-Simons-Schrödinger equations including a vortex point

On Chern-Simons-Schrödinger equations including a vortex point On Chern-Simons-Schrödinger equations including a vortex point Alessio Pomponio Dipartimento di Meccanica, Matematica e Management, Politecnico di Bari Workshop in Nonlinear PDEs Brussels, September 7

More information

SYMMETRY RESULTS FOR PERTURBED PROBLEMS AND RELATED QUESTIONS. Massimo Grosi Filomena Pacella S. L. Yadava. 1. Introduction

SYMMETRY RESULTS FOR PERTURBED PROBLEMS AND RELATED QUESTIONS. Massimo Grosi Filomena Pacella S. L. Yadava. 1. Introduction Topological Methods in Nonlinear Analysis Journal of the Juliusz Schauder Center Volume 21, 2003, 211 226 SYMMETRY RESULTS FOR PERTURBED PROBLEMS AND RELATED QUESTIONS Massimo Grosi Filomena Pacella S.

More information

Monte Carlo methods for kinetic equations

Monte Carlo methods for kinetic equations Monte Carlo methods for kinetic equations Lecture 4: Hybrid methods and variance reduction Lorenzo Pareschi Department of Mathematics & CMCS University of Ferrara Italy http://utenti.unife.it/lorenzo.pareschi/

More information

There is a more global concept that is related to this circle of ideas that we discuss somewhat informally. Namely, a region R R n with a (smooth)

There is a more global concept that is related to this circle of ideas that we discuss somewhat informally. Namely, a region R R n with a (smooth) 82 Introduction Liapunov Functions Besides the Liapunov spectral theorem, there is another basic method of proving stability that is a generalization of the energy method we have seen in the introductory

More information

Une décomposition micro-macro particulaire pour des équations de type Boltzmann-BGK en régime de diffusion

Une décomposition micro-macro particulaire pour des équations de type Boltzmann-BGK en régime de diffusion Une décomposition micro-macro particulaire pour des équations de type Boltzmann-BGK en régime de diffusion Anaïs Crestetto 1, Nicolas Crouseilles 2 et Mohammed Lemou 3 La Tremblade, Congrès SMAI 2017 5

More information