The Stationary Boltzmann equation for a two component gas in the slab.

Size: px
Start display at page:

Download "The Stationary Boltzmann equation for a two component gas in the slab."

Transcription

1 The Stationary oltzmann equation for a two component gas in the slab. Stéphane rull* Abstract The stationary oltzmann equation for hard forces in the context of a two component gas is considered in the slab. An L 1 existence theorem is proved when one component satisfies a given indata profile and the other component satisfies diffuse reflection at the boundaries. Weak L 1 compactness is extracted from the control of the entropy production term. Trace at the boundaries are also controled. *CMI, University of Aix-Marseille I, 39 rue Joliot-Curie, Marseille Cedex 13, France. 1 Introduction. Consider the stationary oltzmann problem in a slab for a two component gas ξ x f A(x, v) = Q(f A, f A + f )(x, v), (1.1) ξ x f (x, v) = Q(f, f A + f )(x, v), (1.2) x [, 1], v R 3. The collision operator Q is the oltzmann operator Q(f, g)(x, v) = (v v, ω)[f g fg ]dωdv, R 3 S = Q + (f, g)(x, v) Q (f, g)(x, v), 1

2 where Q + (f, g) Q (f, g) is the splitting into gain and loss term, f = f(x, v ), f = f(x, v ), f = f (x, v ) v = v (v v, ω)ω, v = v + (v v, ω)ω. For a more general introduction to the oltzmann equation for multicomponent gases see ([6]). The velocity component in the x-direction is denoted by ξ, and (v v, ω) denotes the Euclidean inner product in R 3. Let ω be represented by the polar angle (with polar axis along v v ) and the azimutal angle φ. The function (v v, ω) is the kernel of the collision operator Q taken for hard forces as v v β b(θ), with 0 β < 2, b L 1 +([0, 2π]), b(θ) c > 0 a.e. The boundary condition for the A component is the given indata profile f A (, v) = km (v), ξ > 0, f A (1, v) = km + (v), ξ < 0, (1.3) for some positive k. The boundary condition for the component is of diffuse reflection type f (, v) = ( ξ f (, v )dv )M (v), ξ > 0, (1.4) ξ <0 f (1, v) = ( ξ f (1, v )dv )M + (v), ξ < 0. ξ >0 M + and M are given normalized Maxwellians M (v) = 1 2πT 2 e v 2 2T and M + (v) = 1 2πT+ 2 Denote the collision frequency by ν(x, v) = (v v, ω)f(x, v )dv dω. S e v 2 2T +. In the case of two component gases, for the GK equation, some results are obtained in ([9],[10]) from a numerical point of view, when k = 1. The physical context is described in those papers. f A represents the density of a 2

3 vapor and f the density of a noncondensable gas. The case of multicomponent gases for the oltzmann operator in the slab is investigated in ([11], [12], [13]), when the noncondensable gas becomes negligible. It is proved that the noncondensable gas accumulates in a thin Knudsen layer at the boundary. In this paper, weak solutions (f A, f ) to the stationary problem in the sense of Definition 1.1 will be considered. Definition 1.1. Let M A and M be given nonnegative real numbers. (f A, f ) is a weak solution to the stationary oltzmann problem with the β-norms M A and M, if f A and f L 1 loc ((, 1) R3 ), ν L 1 loc ((, 1) R3 ), (1 + v ) β f A (x, v)dxdv = M A, (1 + v ) β f (x, v)dxdv = M, and there is a constant k > 0 such that for every test function ϕ Cc 1 ([, 1] R 3 ) such that ϕ vanishes in a neiborhood of ξ = 0, and on {(, v); ξ < 0} {(1, v); ξ > 0}, 1 = k ξm + (v)ϕ(1, v)dv k R 3, 1 ϕ (ξf A R 3 x + Q(f A, f A + f )ϕ)(x, v)dxdv ξm (v)ϕ(, v)dv, R 3, ϕ (ξf R 3 x + Q(f, f A + f )ϕ)(x, v)dxdv, = ξ M + (v)ϕ(1, v)dv( ξ f (1, v )dv ) ξ <0 ξ >0 ξm (v)ϕ(, v)dv( ξ f (, v )dv ). ξ >0 ξ <0 The main result of this paper is the following Theorem 1.1. Given β with 0 β < 2, there is a weak solution to the stationary problem with β-norms equal to one. In the case of one component, an analogous theorem with boundary conditions of type (1.3) is proved in [1]. In the case of boundary conditions of type (1.4), an analogous theorem is also shown in [2]. The case of the Povzner equation for a one component gas with diffuse-reflection boundary in the case of hard and soft forces is investigated in ([14]). For diffuse-reflection boundary conditions in n dimensions, the biting lemma is used in [8] to obtain (1.4). In the simpler one-dimensional frame of this paper, (1.4) is obtained by a weak L 1 compactness argument from a control of the entropy outflow. 3

4 The second section of this paper is devoted to a construction of approximate solutions to the problem with a modified non symmetric collision operator. The proofs are performed by monotonicity arguments which give the uniqueness of the successive approximate solutions. In the third section, the symmetry of the collision operator is re-introduced. The weak compactness in L 1 is used in this step by noticing that the sum of the two components satisfies the stationary oltzmann equation in the slab. Section 3 performs the passage to the limit in the traces. In section 4, some extensions of Theorem 1.1 are made, in particular, the case where M A and M have any positive values. 2 Approximations with fixed total masses Let r > 0, m N, µ > 0, α > 0, N. Here χ r,m is a C0 function with range [0, 1] invariant under the collision transformation J, where J(v, v, ω) = (v, v, ω), with χ r,m also invariant under the exchange of v and v and such that χ r,m (v, v, ω) = 1, min( ξ, ξ, ξ, ξ ) r, and χ r,m (v, v, ω) = 0, max( ξ, ξ, ξ, ξ ) r 1 m. The modified collision kernel is a positive C function approximating min(, µ), when n v 2 + v 2 < 2, and v v v v ω > 1 m, and v v v v ω < 1 1 m (v, v, ω) = 0, if v 2 + v 2 > n or v v v v ω < 1 2m, or v v v v ω > 1 1 2m. The functions ϕ l are mollifiers in the x-variable defined by ϕ l (x) := lϕ(lx), where ϕ C 0 (), support(ϕ) (, 1), ϕ 0, 1 ϕ(x)dx = 1. In order to use a fixed point theorem, consider the closed and convex subset of L 1 +([, 1] ), K = {f L 1 +([, 1] ), min(µ, (1 + v ) β )f(x, v)dxdv = 2}. [,1] 4

5 A non negative function f K and θ [0, 1] being given, let us construct the solutions F A and F of the boundary value problem αf A + ξ x F A = χ r,m F A S 1 + F (x, v ) f ϕ A+F 1 + f ϕ (x, v )dv dω F A χ r,m f ϕ S 1 + f ϕ (x, v )dv dω, (x, v) (, 1), (2.1) F A (, v) = λm (v), ξ > 0, F A (1, v) = λm + (v), ξ < 0, and αf + ξ x F = χ r,m F S 1 + F (x, v ) f ϕ A+F 1 + f ϕ (x, v )dv dω F χ r,m f ϕ S 1 + f ϕ (x, v )dv dω, (x, v) (, 1), (2.2) F (, v) = θλm (v), ξ > 0, F (1, v) = (1 θ)λm + (v), ξ < 0. The number λ > 0 will be fixed in (2.13). Let us prove that the solution to (2.1, 2.2) is the monotone L 1 limit of the sequences (F l A ) l N and (F l ) l N defined by αf l+1 A + ξ x F l+1 A = F l+1 A and αf l+1 S χ r,m F l A 1 + F l A +F l F 0 A = 0, (y, v ) f ϕ 1 + f ϕ (x, v )dv dω χ r,m f ϕ S 1 + f ϕ (x, v )dv dω, (x, v) [, 1], (2.3) + ξ x F l+1 = F l A(, v) = λm (v), ξ > 0, F l A(1, v) = λm + (v), ξ < 0, S2 χ r,m F l 1 + F l A +F l F 0 = 0, (x, v ) f ϕ 1 + f ϕ (x, v )dv dω F l+1 χ r,m f ϕ S2 1 + f ϕ (x, v )dv dω, (x, v) [, 1], (2.4) F l+1 (, v) = θ lλm (v), ξ > 0, F l+1 (1, v) = (1 θ l)λm + (v), ξ < 0. 5

6 The sequences (FA l ) l N and (F l ) l N are well defined, since they solve linear equations. They are nonnegative, for l 1. Let F l = FA l + F l. It satisfies F 0 = 0, αf l+1 + ξ R3v S x F l+1 = χ r,m F l (x, v ) f ϕ 1 + F l 1 + f ϕ (x, v )dv dω F l+1 χ r,m f ϕ S 1 + f ϕ (x, v )dvdω, (x, v) [, 1], (2.5) F l+1 (, v) = (θ l + 1)λM (v), ξ > 0, F l+1 (1, v) = (2 θ l )λm + (v), ξ < 0. First F 1 0. Write the equation (2.5) in the exponential form, F l+1 α 1+x ξ R 0 = (1 + θ l )λm (v)e 1+x ξ R3v S χ r,m F l And so, F l 0 1+x ξ e R S χr,m f ϕ 1+ f ϕ αs R 0 s R S χr,m f ϕ 1+ f ϕ (x+τξ,v )dv dωdτ (x+τξ,v )dv dωdτ (2.6) (x + sξ, v ) f ϕ 1 + f ϕ (x + sξ, v )dv dvdωds, ξ > 0. F l+1 (x, v) F l (x, v) = 0 1+x ξ R3v S χ r,m ( F l e αs R 0 s R S χr,m f ϕ 1+ f ϕ 1 + F l (x+τξ,v )dv dωdτ (x + sξ, v ) F l (x + sξ, v ) ) (2.7) 1 + F l f ϕ 1 + f ϕ (x + sξ, v )dv dωds, ξ > 0. It follows that (F l ) l N is a nondecreasing sequence for ξ > 0. Moreover, being compactly supported because of the truncation for v 2 + v 2 > n, (F l ) l N is a bounded sequence. Hence, (F l ) l N converges a.e to some F in a nondecreasing way. Passing to the limit in the equation (2.7) when 6

7 l +, α 1+x ξ R 0 F (x, v) = (1 + θ)λm (v)e 1+x ξ x ξ e R S χr,m f ϕ 1+ f ϕ αs R 0 s R S χr,m f ϕ 1+ f ϕ (x+τξ,v )dv dωdτ (x+τξ,v )dv dωdτ χ r,m F S 1 + F (x + sξ, v ) f ϕ 1 + f ϕ (x + sξ, v )dv dvdωds, ξ > 0. For the same reasons, (2.8) F (x, v) = (2 θ)λm + (v)e x ξ e αs R 0 s α 1 x ξ R 0 1 x RR 3 ξ v S χr,m f ϕ 1+ f ϕ R S χr,m f ϕ 1+ f ϕ (x+τξ,v )dv dωdτ (x+τξ,v )dv dωdτ χ r,m F S 1 + F (x + sξ, v ) f ϕ 1 + f ϕ (x + sξ, v )dv dvdωds, ξ < 0. Let us show that FA l is a converging sequence. Consider QA+ l defined by Q A+ l = χ r,m F S 1 + F (x + sξ, v ) f ϕ 1 + f ϕ (x + sξ, v )dv dvdω. y using that F A F and a convolution with respect to the v variable ([2], [7]), it holds that Q A+ l is strongly compact in L 1. So, (FA l ) l N converges to some F A in L 1. For the same reasons, (F l ) l N converges to some F. Passing to the limit in (??), we find that there are F A and F solutions to (2.1) and (2.2). Lemma 2.1. The equations (2.1) and (2.2) each has a unique solution which is strictly positive. Proof of Lemma 2.1. Let F A and G A be two solutions to the equation (2.1). Consider ψ ε, the approximation of the sign function, and φ ε defined by φ ε (x) = ε + x 2 a primitive of ψ ε. Subtract the equation satisfied by G A to the equation satisfied by F A, multiply by ψ ε (F A (x, v) G A (x, v)) and (2.9) 7

8 integrate on [, 1], 1 1 α[f A G A ](y, v)ψ ε (y, v)dy + φ ε (F A (1, v) G A (1, v)) χ r,m F A G A S (1 + F A+F )(1 + G A+G ) (y, v ) f ϕ 1 + f ϕ (y, v )dv dωdy 1 ψ ε [F A (y, v) G A (y, v)] χ r,m f ϕ S 1 + f ϕ (y, v )dv dωdy. (2.10) Passing to the limit when ε tends to 0, in (2.10), 1 1 α [F A G A ](y, v) dy + ξ [F A G A ](1, v) χ r,m F A G A S2 (1 + F A+F )(1 + G A+G ) (y, v ) f ϕ 1 + f ϕ (y, v )dv dωdy 1 [F A G A ](y, v) χ r,m f ϕ R3 v S f ϕ (y, v )dv dωdy. (2.11) Integrating (2.11) on, As, 1 1 α [F A G A ](y, v) dydv + ξ [F A G A ](1, v) dv χ r,m F A G A R3 v S2 (1 + F A+F )(1 + G A+G ) (y, v ) f ϕ 1 + f ϕ (y, v )dv dωdydv 1 [F A G A ](y, v) χ r,m f ϕ R3 v S 1 + f ϕ (y, v )dv dωdydv. (2.12) [F A G A ](y, v) (1 + F A+F F A G A )(1 + G A+G ) (y, v), the right-hand side of the equation (2.12) is negative. Then, for ξ > 0, 1 α [F A G A ](y, v) dydvdydv 0. Analogously, the same result holds for ξ < 0. So, F A = G A. Similarly, the equation (2.2) has a unique solution. This proves Lemma

9 Let f A = f = F A min(µ, (1 + v ) β )F A (x, v)dxdv, F min(µ, (1 + v ) β )F (x, v)dxdv. The functions f A and f are well defined since F A and F strictly positive. Indeed, writing the equations (2.1) and (2.2) in the exponential form, α 1+x ξ R 0 F A (x, v) λm (v)e 1+x ξ F A (x, v) λm + (v)e α 1 x ξ R 0 1 x ξ So using that 1 (α + ν(x, v))dx 2 + 2µ, R S2 χ r,m f ϕ 1+ f ϕ R S2 χ r,m f ϕ 1+ f ϕ (x+τξ,v )dv dωdτ, ξ > 0, (x+τξ,v )dv dωdτ, ξ < 0. Analogously, F A (x, v) λm (v)e 2+2µ ξ, ξ > 0, F A (x, v) λm + (v)e 2+2µ ξ, ξ < 0. Let λ be defined by F (x, v) θλm (v)e 2+2µ ξ, ξ > 0, F (x, v) (1 θ)λm + (v)e 2+2µ ξ, ξ < 0. 1 λ = min( ; M (v)min(µ, (1 + v ) β )e 2+2µ ξ dv And so, 1 ). M +(v)min(µ, (1 + v ) β )e 2+2µ ξ dv min(µ, (1 + v ) β )F A (x, v)dxdv 1 9

10 and min(µ, (1 + v ) β )F (x, v)dxdv 1. The functions f A and f are solutions to αf A + ξ x f A = χ r,m S2 f ϕ f A and S2 χ r,m f A (, v) = f A (1, v) = 1 + f ϕ f A 1 + F (x, v ) f ϕ 1 + f ϕ (x, v )dv dω (x, v )dv dω, (x, v) (, 1), (2.13) λ min(µ, (1 + v ) β )F A (x, v)dxdv M (v), ξ > 0, λ min(µ, (1 + v ) β )F A (x, v)dxdv M +(v), ξ < 0, αf + ξ x f = χ r,m f (v, v, ω) R F (x, v ) f ϕ v S2 1 + f ϕ (x, v )dv dω f (x, v) χ r,m f ϕ S2 1 + f ϕ (x, v )dv dω, (x, v) (, 1), (2.14) λ f (, v) = min(µ, (1 + v ) β )F (x, v)dxdv θm (v), ξ > 0, f (1, v) = Recall that F is solution to λ min(µ, (1 + v ) β )F (x, v)dxdv (1 θ)m +(v), ξ < 0. αf + ξ x F = χ r,m F R F (x, v ) f ϕ v S2 1 + f ϕ (x, v )dv dω F χ r,m f ϕ S2 1 + f ϕ (x, v )dv dω, (x, v) (, 1), (2.15) F (, v) = (θ + 1)λM (v), ξ > 0, F (1, v) = (2 θ)λm + (v), ξ < 0. A fixed point argument will now be used in order to solve (2.13, 2.14) with f = f A + f. Define T on K [0, 1] by T (f, θ) = (f A + f, θ) with θ = ξ f (, v)dv ξ f (, v)dv + ξf (2.16) (1, v)dv 10

11 where (f A, f ) is solution to (2.13, 2.14). Lemma 2.2. T is a continuous and compact map from K [0, 1] into itself. Proof of Lemma 2.2. It is clear that T maps K [0, 1] into itself. Let T A, T, and T respectively map f K into f A, f, F solutions to (2.13), (2.14, (2.17). First, T is compact in L 1. Indeed, let f l be a bounded sequence in L 1 ([, 1] ). Using the following exponential form of F l and F l = T (f l ), α 1+x F l ξ R 0 1+x ξ (x, v) = λ(1 + θ l )M (v)e + 0 with 1+x ξ α 1+x ξ R 0 s e Q + l (x, v) = R S2 χ r,m f l ϕ m,n,µ 1+ fl ϕ S2 χ r,m F l 1 + F l R S2 χ r,m f l ϕ m,n,µ 1+ fl ϕ (x+τξ,v )dτdv dω Q + l (x, v ) f l ϕ (x, v 1 + f l ϕ )dv dω. ecause of the convolution of f l by ϕ in the x variable, ( S2 χ r,m f l ϕ 1 + f l ϕ (x + τξ, v )dτdv dω) (x+τξ,v )dτdv dω (x + sξ, v)ds, (2.17) ξ > 0, is strongly compact in L 1. Using a convolution by a mollifier in the v variable([7], [2]), the gain term Q + l is strongly compact in L 1. Hence, F l is strongly compact in L 1 and so T is a compact map. Let us show that T is a continuous map. Let f l be a converging sequence in L 1 ([, 1] ). Then, f l is a bounded sequence in L 1. y compactness of T, F l has a subsequence still denoted F l converging to some F. F l satisfies αf l + ξ R3v S2 x F l = χ r,m F l (x, v ) f l ϕ (x, v 1 + F l 1 + f l ϕ )dv dω F l χ r,m f l ϕ (x, v S2 1 + f l ϕ )dv dω, (x, v) (, 1), (2.18) F φ(l) (, v) = (θ l + 1)λM (v), ξ > 0, F φ(l) (1, v) = (2 θ l )λm + (v), ξ < 0. 11

12 Writing (2.18) in the exponential form, α 1+x F l ξ R 0 1+x ξ = (1 + θ l )λm (v)e + 0 R3v S2 χ r,m F l 1+x ξ 1 + F l e R S2 χ r,m f l ϕ m,n,µ 1+ fl ϕ αs R 0 s R S2 χ r,m f l ϕ m,n,µ 1+ fl ϕ (x+τξ,v )dv dωdτ (x+τξ,v )dv dωdτ (x + sξ, v ) f l ϕ (x + sξ, v 1 + f l ϕ )dv dvdωds, ξ > 0. Furthermore, F φ(l) F and f φ(l) ϕ f ϕ in L 1 ([, 1] ). So, there is a subsequence to F φ(l) still denoted by F φ(l) converging a.e. to F. Furthermore, χ r,m (v, v, ω) F l 1 + F l (y, v ) f l ϕ (y, v 1 + f l ϕ ) 2 χ r,m (v, v, ω). So, by the Lebegue theorem applied to (2.19), F is solution to αf + ξ x F = χ r,m F R F (x, v ) f ϕ v S2 1 + f ϕ (x, v )dv dω, F χ r,m f ϕ S2 1 + f ϕ (x, v )dv dω, (x, v) (, 1), (2.20) F (, v) = (θ + 1)λM (v), ξ > 0, F (1, v) = (2 θ)λm + (v), ξ < 0. Reasoning as in the proof of Lemma 2.1, (2.20) is proved to have a unique solution. Then, the whole sequence (F l ) l N converges to the solution to the equation (2.20). This proves that T is continuous. For analogous reasons, T A and T are continuous and compact maps. Therefore, the first component of T, T A + T, is a compact and continuous map. It is clear that the second component of T is compact. So, it remains to show its continuity. Consider f l converging to f in L 1 and let us show that θ l converges to θ. Recall that θ is defined in (2.16). Thanks to the truncation in the ξ variable ( R 3 ξ2 f l (x, v)dv) is uniformly bounded in x. And so, Q l (f l v, f l ) converges to Q(f, f) in L 1. Consider a continuously differentiable function ϕ defined [, 1] with values in [0, 1] such that ϕ() = 0 and ϕ(1) = 1. f l satisfies (2.19) 12

13 the equation (2.14), 1 ξ x [(f l (x, v) f (x, v))ϕ(x)]dx = Since ϕ and ϕ are bounded, it follows that ξ(f(1, l v) f (1, v)) dv c + c + c α (Q(f l, f l ) Q(f, f))ϕ(x)dx (f l f )(x, v)ξ x ϕ(x)dx (f l f )(x, v)ϕ(x)dx. (Q(f l, f l ) Q(f, f)) dxdv (f l f )(x, v) dxdv (f l f )(x, v) dxdv. Q(f l, f l ) and f l converge respectively to Q(f, f) and f in L 1 ([, 1] ). So, f l (1,.) tends to f (1,.) in L 1. Analogously, f l (,.) tends to f (,.) in L 1. Then, ξf l (1, v)dv tends to ξf (1, v)dv. In the same way, ξ f l (, v)dv tends to ξ f (, v)dv. Hence, the sequence ( θ l ) converges to θ. Finally, T is a compact and continuous map from the convex closed set K [0, 1] into itself. It follows from the Schauder fixed point theorem that there is (f, θ) with f = f A + f θ = ξ f (, v)dv ξf (1, v)dv + ξ f (, v)dv that satisfy αf A + ξ x f A = χ r,m f A R F (x, v ) f ϕ l v S2 1 + f ϕ (x, v )dv dω l f A χ r,m f ϕ l S2 1 + f ϕ (x, v )dv dω, (x, v) (, 1), (2.21) l f A (, v) = k A M (v), ξ > 0, f A (1, v) = k A M + (v), ξ < 0 with 13

14 k A = λ min(µ, (1 + v ) β )F A (x, v)dxdv and αf + ξ x f = χ r,m f R F (x, v ) f ϕ l v S2 1 + f ϕ (x, v )dv dω l f χ r,m f ϕ l S2 1 + f ϕ (x, v )dv dω, (x, v) (, 1), l f (, v) = λ ( ξ f (, v)dv ξf (1, v)dv + ξ f (, v)dv )M (v), ξ > 0, f (1, v) = λ ( (1, v)dv ξf (1, v)dv + ξ f (, v)dv )M +(v), ξ < 0, with λ = λ min(µ, (1 + v ) β )F (x, v)dxdv. Keeping, l,, r, m, µ fixed, denote f,α,l,r,m,µ by f α and study the passage to the limit when α tends to 0. Writing the equations (2.21, 2.20) in exponential form and using the averaging lemmas together with a convolution with a mollifier ([2],[7]) give that fa α and F α are strongly compact in L 1 ([, 1] ). Denote by f A and F the limits of fa α and F α. The passage to the limit when α tends to 0 in the equation (2.21) yields ξ x f A = χ r,m f A S 1 + F (x, v ) f ϕ l 1 + f ϕ (x, v )dv dω l f A χ r,m f ϕ l S 1 + f ϕ (x, v )dv dω, (x, v) (, 1), l λ f A (, v) = min(µ, (1 + v ) β )F A (x, v)dxdv M (v), ξ > 0, (2.22) f A (1, v) = λ min(µ, (1 + v ) β )F A (x, v)dxdv M +(v), ξ < 0, with min(µ, (1 + v ) β )f A (x, v)dxdv = 1. 14

15 For the same reasons, the limit f of f α satisfies ξ x f = χ r,m f R F (x, v ) f ϕ l v S2 1 + f ϕ (x, v )dv dω l f χ r,m f ϕ l S2 1 + f ϕ (x, v )dv dω, (x, v) (, 1), (2.23) l f (, v) = σ()λ M (v), ξ > 0, f (1, v) = σ(1)λ M + (v), ξ < 0, with min(µ, (1 + v ) β )f (x, v)dxdv = 1, where and σ() = σ(1) = λ = ξ f (, v)dv ξf (1, v)dv + ξ f (, v)dv, ξf (1, v)dv ξf (1, v)dv + ξ f (, v)dv λ min(µ, (1 + v ) β )F (x, v)dxdv. The passage to the limit in (2.22) and in (2.23), when l tends to is similar and implies that the limits f A and f of fa l and f l are solutions to ξ x f A = χ r,m f A R F (x, v f ) v S2 1 + f (x, v )dv dω f A χ r,m f S2 1 + f (x, v )dv dω, (x, v) (, 1), (2.24) f A (, v) = k A M (v), ξ > 0, f A (1, v) = k A M + (v), ξ < 0, with min(µ, (1 + v) β )f A (x, v)dxdv = 1, where k A is defined in (2.21) before passing to the limit and ξ x f = χ r,m f R F (x, v f ) v S2 1 + f (x, v )dv dω f χ r,m f S2 1 + f (x, v )dv dω, (x, v) (, 1), (2.25) f (, v) = σ()λ M (v), ξ > 0, f (1, v) = σ(1)λ M + (v), ξ < 0, 15

16 min(µ, (1 + v ) β )f (x, v)dxdv = 1, with, σ() = σ(1) = ξ f (, v)dv ξf (1, v)dv + ξ f (, v)dv, ξf (1, v)dv ξf (1, v)dv + ξ f (, v)dv, and F = F A +F, with F A and F defined by (2.1, 2.2) after passing to the limit. We are going to pass to the limit when tends to the infinity (2.24, 2.25). The sequences of solutions (f A ) and (f ) to (2.24) and (2.25) are weakly compact in L 1 ([, 1] ). Indeed, f = f A + f satisfies the oltzmann equation for a one component gas. y using the entropy production term ([2]), we find that f is weakly compact in L 1 ([, 1] ). The weak L 1 compactness of f A and f follows from 0 f A f and 0 f f. Denote by f A and f the limits of f A and f, up to subsequences. Furthermore, Q + (f, f ) and Q (f, f ) are weakly compact in L 1 ([, 1] ) ([2]). So, by the inequalities Q + (f A, f ) Q + (f, f ), Q + (f, f ) Q + (f, f ), Q (f A, f ) Q (f, f ) and Q (f, f ) Q (f, f ), the collision terms Q + (f, f ), Q (f A, f ), Q (f A, f ) and Q (f, f ) are weakly compact in L 1 ([, 1] ). So, f A and f satisfying (2.24, 2.25), ξ x f A and ξ x f are weakly compact in L1 ([, 1] ). Pass to the limit when + in the weak formulation of (2.25), [,1] ξ x ϕ(x, v)f (x, v)dxdv + χ r,m ϕ(x, v) [,1] S2 f ( (x, v ) 1 + F A +F = σ ()λ f 1 + f (x, v ) f f (x, v) 1 + f (x, v ))dv dωdxdv (2.26) ξf (1, v)ϕ(1, v)dv ξf (, v)ϕ(, v)dv ξm (v)ϕ(, v)dv + σ (1)λ ξm + (v)ϕ(1, v)dv, 16

17 where σ () = σ (1) = ξ f (, v)dv ξ f (, v)dv + ξf, (1, v)dv ξf (1, v)dv ξ f (, v)dv + ξf, (1, v)dv and ϕ is a test function belonging to C 1 c ([, 1] ). First, lim [,1] = lim χ r,m ϕ(x, v) S2 [,1] f 1 + F A +F (x, v ) f 1 + f (x, v )dxdvdv dω S χ r,m ϕ(x, v )f (x, v)f (x, v )dxdvdv dω. χ r,m being bounded, f and ξ x f being weakly compact in L 1 ([, 1] S), an averaging lemma applies, so that ( R χ r,m 3 m,n,µ f (x, v )ϕ(x, v )dv dω) N converges to v S2 R χ r,m 3 m,n,µ f(x, v )ϕ(x, v )dv dω in L 1 ([, 1] ). Furthermore, v S2 because of the truncation in the ξ variable for small velocities, this sequence is bounded. f and ξ x f being weakly compact in L1 ([, 1] ), using once more an averaging lemma ( χ r,m f S (x, v)f (x, v )ϕ(x, v )dv dωdxdv) N [,1] converges to [,1] S2 χ r,m f (x, v)f(x, v )ϕ(x, v )dv dωdxdv. So, Q (f, f ) converges to Q(f, f) in L 1. Hence, reasoning as in the proof of Lemma 2.2, we find that σ () (resp σ (1)) tends to σ() ( resp σ(1)), when tends to infinity. y passing to the limit when tends to infinity in (2.26), it holds that there is f r,µ solution to f r,µ ξ x f r,µ = χ r,m f r,µ S (x, v )f r,µ (x, v )dv dω S2 χ r,m f r,µ (x, v )dv dω, (x, v) (, 1), (2.27) f r,µ (, v) = σ()λ M (v), ξ > 0, f r,µ (1, v) = σ(1)λ M + (v), ξ < 0, 17

18 with Here, σ() = min(µ, (1 + v ) β )f r,µ (x, v)dxdv = 1. ξf r,µ r,µ ξ f (, v)dv r,µ ξ f (, v)dv (1, v)dv + and σ(1) = ξf r,µ r,µ ξf (1, v)dv r,µ. ξ f (, v)dv (1, v)dv + Moreover, so that, ξf r,µ (1, v)dv ξf r,µ (, v)dv = 0, ξ f r,µ (1, v)dv + ξ f r,µ (, v)dv = λ. Hence, the boundary conditions in (2.27) write f r,µ (, v) = ξ f r,µ (, v)dvm (v), ξ > 0, f r,µ (1, v) = ξ f r,µ (1, v)dvm +(v), ξ < 0. The passage to the limit when m + and n + in the equation (2.27) is performed as before and implies that there is f r,µ satisfying, ξ x f r,µ = χ r µ (v v, ω)f r,µ (x, v )f r,µ (x, v )dv dω S2 f r,µ with χ r µ (v v, ω)f r,µ (x, v )dv dω, (x, v) (, 1), S2 f r,µ (, v) = M (v) ξ f r,µ (, v)dv, ξ > 0, (2.28) f r,µ (1, v) = M +(v) ξf r,µ (1, v)dv, ξ < 0, 18

19 min(µ, (1 + v ) β )f r,µ (x, v)dxdv = 1. For the same reasons, there is f r,µ A satisfying, ξ x f r,µ A = χ r µ (v v, ω)f r,µ A (x, v )f r,µ (x, v )dv dω S 2 f r,µ A S2 χ r µ (v v, ω)f r,µ (x, v )dv dω, (x, v) (, 1), f r,µ A (, v) = k AM (v), ξ > 0, f r,µ A (1, v) = k AM + (v), ξ < 0, (2.29) with min(µ, (1 + v ) β )f r,µ A (x, v)dxdv = 1, where k A is defined in the equation (2.21) before passing to the limit. 3 End of the proof of the main theorem Let (r ) N with lim + r = 0 and (µ ) N with lim + µ = +, f A = f r,µ A and f = f r,µ. The passage to the limit when + is now performed in the weak formulations satisfied by f A and f. A positive number δ being fixed, let ϕ be a test function vanishing for δ δ and for v 1 δ. Since f = f A + f satisfies the oltzmann equation for a one component gas, using the entropy production term ([1]), f, Q (f, f ) and Q + (f, f ) are weakly compact in L 1 ([, 1] {v R 3 ; ξ δ, v 1 δ })). The weak compactness of f A, f, Q (f A, f ), Q + (f A, f ), Q (f, f ) and Q + (f, f ) follows from the inequalities 0 f A f, 0 f f, Q (f A, f ) Q (f, f ), Q + (f A, f ) Q + (f, f ), Q (f, f ) Q (f, f ) and Q + (f, f ) Q + (f, f ). Denote by f A and f the limits of f A and f, up to subsequences. As in ([1],[2]), lim [Q (f A, f ) Q (f A, f)]ϕdxdv = 0. (3.1) 19

20 Next, performing the change of variable (v, v, ω) (v, v, ω), the same property is obtained for the gain term, 1 1 Q + (f A, f )ϕdxdv = Q + (f A, f)ϕdxdv. lim + Analogously, the same result holds for f. It remains to pass to the limit in the boundary terms (1.4) i.e to prove the weak convergence in L 1 ({v, ξ > 0}) ( resp L 1 ({v, ξ < 0})) of f (1,.) ( resp. f (,.)) to f (1,.) (resp. f (,.)). First, the fluxes ξf (1, v)dv and ξ f (, v)dv are controled in the following way. From (2.28) written in the exponential form, it holds that R 0 f (x, v) f (, v)e 1+x ξ R 0 f (x, v) f (1, 1 x v)e ξ Recall that, R R S χ f (x+sξ,v )dv dωds 1, ξ >, v 2, 2 S χ f (x+sξ,v )dv dωds 1, ξ <, v 2. (3.2) 2 ν (x, v) = χ f (x, v )dv dω. S2 For v satisfying v 2 with ξ > 1 2 or ξ < 1 2, 1 ν (z,v) ξ dz is uniformly bounded from above. Hence, using the definition of the boundary conditions (1.4) in (3.2), f (x, v) cm (v) ξ f (, v)dv, ξ > 1, v 2, 2 f (x, v) cm +(v) ξf (1, v)dv, ξ <, v 2. 2 So, f being non negative, c c 1 {ξ> 1 2, v 2} {ξ< 1 2, v 2} f ξf (1, v)dv + (x, v)dxdv ξ f (, v)dv. min(µ, (1 + v ) β )f (x, v)dxdv ξf (1, v)dv + 20 ξ f (, v)dv.

21 Since 1 R min(µ, (1 + 3 v )β )f v (x, v)dxdv = 1, the fluxes ξf (1, v)dv and ξ f (, v)dv are bounded uniformly w.r.t. Furthermore, the energy fluxes are controlled. Indeed, by conservation of the energy for f, ξv 2 f (1, v)dv + ξ v 2 f (, v)dv ξv 2 f (, v)dv + ξ v 2 f (1, v)dv. y definition of the boundary conditions (2.29) and (2.28), ξv 2 f (1, v)dv + ξ v 2 f (, v)dv (k + ξ f (, v )dv ) ξv 2 M (v)dv (3.3) ξ <0 +(k + ξ f (1, v )dv ) ξ v 2 M + (v)dv. ξ >0 The right-hand side of (3.3) being bounded, ξv 2 f (1, v)dv + ξ v 2 f (, v)dv c. Finally, the entropy fluxes are controled. Indeed, f = f A + f satisfies the following equation ξ ( f (log(f ) 1) ) = Q (f, f )log(f ). (3.4) x Using a Green s formula and an entropy estimate in (3.4), leads to ξf (1, v) log f (1, v)dv + ξ f (, v) log f (, v)dv ( ξ f (1, v )dv + k ) ξ >0 ξ M + (v)log(m + (v)( ξ f (1, v )dv + k ))dv ξ >0 +( ξ f (, v )dv + k ) ξ <0 M (v) log(m (v)( ξ f (, v )dv + k ))dv. ξ <0 21

22 y the Dunford-Pettis criterion ([5]), f (1,.) is weakly compact in L 1 ({v, ξ > 0}). Let one of its subsequence still denoted by f (1,.), converging weakly to some g + in L 1 ({v, ξ > 0}). It remains to prove that g + = f (1,.). Consider a test function ϕ vanishing on { ξ δ} { v 1 δ } and satisfying ϕ(x, v) = ϕ 1(x)ϕ 2 (v) with ϕ 1 = 1 in a neighborhood of 1. Recall that the trace f (1, v) can be defined by f (1, v) = lim ɛ0 0 (ϕf ) satisfies the equation 1 ɛ 0 ɛ0 0 f (1 ɛ, v)dɛ ([4]). ξ (ϕf ) x = ξ ϕ x f + Q (f, f )ϕ. (3.5) Integrating (3.5) on [1 ε, 1] and using a Green s formula, it holds that 1 ɛ 0 1 ɛ0 ɛ 0 0 ɛ0 + 1 ɛ0 ɛ (f (1, v) f (1 ɛ, v))ϕ 2(v)dvdɛ 1 ɛ 0 Q (f, f )(x, v)ϕ(x, v) dxdvdɛ (3.6) 1 1 ɛ 0 f (x, v)ξ ϕ(x, v) dxdvdɛ. x Let η > 0 be given. y the weak compactness of f and Q (f, f ) in L 1 ([, 1] {v, ξ δ, v 1 δ }), there exists ɛ 0 > 0 such that for ɛ 0 < ɛ 0, uniformly w.r.t, 1 Q (f, f )(x, v)ϕ(x, v) dxdv < η 1 ɛ 0 2, 1 f (x, v)ξ 1 ɛ 0 x ϕ(x, v) dxdv < η 2. So the inequality (3.6) gives, for ɛ 0 < ɛ 0, uniformly w.r.t, 1 ɛ0 ξ(f ɛ (1, v) f (1 ɛ, v))ϕ 2(v)dɛdv η. (3.7) 0 0 y the weak compactness of f in L1 ([, 1] {v, ξ δ, v 1 δ }), 22

23 ɛ0 0 f (1 ɛ, v)ϕ 2(v)dvdɛ ɛ0 0 f (1 ɛ, v)ϕ 2 (v)dvdɛ when tends to infinity. Passing to the limit when tends to infinity in the inequality (3.7), implies that 1 ɛ0 ξ(g + (1, v) f (1 ɛ, v))ϕ 2 (v)dvdɛ η. ɛ 0 0 Next, passing to the limit when ɛ 0 tends to 0, ξ(g + (1, v) f (1, v))ϕ 2 (v)dv η. (3.8) The inequality (3.8) being true for all η > 0, g + and f (1,.) are equal on the sets {v, ξ δ, v 1 δ } for all δ > 0 and so a.e. The same result holds for f (,.). Therefore, we can pass to the limit in (2.28, 2.29). This ends the proof of Theorem Some extensions Theorem 1.1 can be generalized to the case of any values of the β-norms, M A and M. Corollary 4.1. Given β with 0 β < 2, M A > 0 and M > 0, there is a weak solution to the stationary problem with β-norms M A and M. Proof of Corollary 4.1. Define M = M A + M. In the first part of the proof of Theorem 1.1, choose λ satisfying, and λ min( λ min( M A M (v)min(µ, (1 + v ) β )e 2+M ξ dv ; M A ) M +(v)min(µ, (1 + v ) β )e 2+M ξ dv M M (v)min(µ, (1 + v ) β )e 2+M ξ dv ; M ). M +(v)min(µ, (1 + v ) β )e 2+M ξ dv 23

24 In the fixed point part, choose K = {f L 1 +([, 1] R 3 ); min(µ, (1 + v ) β )f(x, v)dxdv = M}. (4.1) Reasoning as before, there are f A and f solutions to the equation (1.1) with respective β norms M A and M. In the presence of several gases of the A component and several gases of the component, Corollary 4.1 can be generalized. Consider (f A1...f ANA, f 1...f N ) with f Ai satisfying x f A i = Q(f Ai, f A1 ) Q(f Ai, f ANA ) + Q(f Ai, f 1 ) Q(f Ai, f N ), (x, v) (, 1), f Ai (, v) = k Ai M (v), ξ > 0, f Ai (1, v) = k Ai M + (v), ξ < 0, and f i satisfying x f i = Q(f i, f A1 ) Q(f i, f ANA ) + Q(f i, f 1 ) Q(f i, f N ), (x, v) (, 1), f i (, v) = ( ξ f i (, v )dv )M (v), ξ > 0, ξ <0 f i (1, v) = ( ξ f i (1, v )dv )M + (v), ξ < 0. Corollary 4.2. Given β with 0 β < 2, M A1...M ANA and M 1...M N there are weak solutions f A1...f N to the stationary problem with respective β-norms M A1,..., M N. Proof of Corollary 4.2. Let f = f A f AN + f f N. The oltzmann operator corresponding to the A i component is Q(f Ai, f) = Q(f Ai, f A1 )+...+Q(f Ai, f ANA )+Q(f Ai, f 1 )+...+Q(f Ai, f N ), ([6]). For the fixed point step, define K as in (4.1) and consider the compact and continuous map T from the closed convex set K [0, 1] N into itself, ξ >0 T : (f, θ 1,..., θ N ) (f A f ANA + f 1...f N, θ 1,..., θ N ), with θ Ni = ξ f Ni (, v)dv ξ f Ni (, v)dv + ξf Ni (1, v)dv. 24

25 The corollary follows by the same arguments as before. Remark that the case of a one component gas with one boundary condition of the type (1.3) and another of the type (1.4) can also be solved. It comes back to the diffuse-reflection problem solved in ([2]). Furthermore, this problem can be generalized to several components by reasoning as in the proof of Corollary 4.2. Theorem 1.1 can also be generalized to the case of a convex combination of boundary conditions of the type (1.3) and (1.4), f(, v) = a( f(1, v) = a( ξ x f = Q(f, f), (x, v) (, 1) R3 v, ξ f(, v)dv)m (v) + (1 a)km (v), ξ > 0, ξf(1, v)dv)m + (v) + (1 a)km + (v), ξ < 0, (4.2) a [0, 1]. Corollary 4.3. Given β with 0 β < 2, M > 0 there is a weak solution to the stationary problem (4.2) with the β-norm M. References [1] Arkeryd, L.; Nouri, A. The stationary oltzmann Equation in the Slab with Given Weighted Mass for Hard and Soft Forces. Ann.Scuola.Norm.Sup.Pisa 1998, 27, [2] Arkeryd, L.; Nouri, A. L 1 solutions to the stationary oltzmann equation in a slab. Annales de la Faculte des sciences de Toulouse 2000, 9, [3] Arkeryd, L.; Maslova, N. On diffuse reflection at the boundary for the oltzmann equation and related equations. J.Stat.Phys. 1994, 77, [4] Arkeryd, L.; Heintz, A. On the solvability and asymptotics of the oltzmann equation in irregular domains. Comm.Part.Diff.Eqs. 1997, 22, [5] Cercignani, C.; Illner, R.; Pulvirenti, M. Existence and Uniqueness Results. The mathematical theory of dilute gases. Springer: New York, 1994,

26 [6] Cercignani, C. The oltzmann Equation. The oltzmann equation and its applications. Scottish Academic Press, 1988, [7] Lions, PL. Compactness in oltzmann equation via Fourier integral operators and applications. J.Math.Kyoto Univ. 1994, 34, ( [8] Mischler, S. On the weak-weak convergences and applications to the initial boudary value problem for kinetic equations, preprint [9] Sone, Y.; Aoki, K.; Doi, T. Kinetic theory analysis of gas flows condensing on a plane condensed phase: Case of a mixture of a vapor and noncondensable gas. Transport theory and statistical physics, 1992, 21(4-6), [10] Taguchi, S.; Aoki, K.; Takata S. Vapor flows condensing at incidence onto a plane condensed phase in the presence of a noncondensable gas.i. Subsonic condensation. Physics of fluids, 2003, volume 15, number 3, [11] Aoki, K.; Takata, S.; Taguchi S. Vapor flows with evaporation and condensation in the continuum limit: effect of a trace of non condensable gas, European Journal of Mechanics /Fluids 22, [12] Aoki, K. The behaviour of a vapor-gas mixture in the continuum limit: Asymptotic analysis based on the oltzman equation. T.J. artel, M.A.Gallis eds: AIP, Melville, 2001, [13] Aoki, K.; Takata, S.; Kosuge, S. Vapor flows caused by evaporation and condensation on two parallel plane surfaces: Effect of the presence of a noncondensable gas. Physics of fluids, 1998, volume 10, number 6, [14] Panferov, V.A. On the interior boundary-value problem for the stationary Povzner equation with hard and soft interaction, preprint

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

Boltzmann asymptotics with diffuse reflection boundary conditions.

Boltzmann asymptotics with diffuse reflection boundary conditions. Boltzmann asymptotics with diffuse reflection boundary conditions. L. Arkeryd and A. Nouri. Key words. Botzmann asymptotics, strong L 1 -convergence, diffuse reflection boundary. Mathematics Subject Classification:

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

Notes on Distributions

Notes on Distributions Notes on Distributions Functional Analysis 1 Locally Convex Spaces Definition 1. A vector space (over R or C) is said to be a topological vector space (TVS) if it is a Hausdorff topological space and the

More information

THEOREMS, ETC., FOR MATH 515

THEOREMS, ETC., FOR MATH 515 THEOREMS, ETC., FOR MATH 515 Proposition 1 (=comment on page 17). If A is an algebra, then any finite union or finite intersection of sets in A is also in A. Proposition 2 (=Proposition 1.1). For every

More information

LEIF ARKERYD ANNE NOURI

LEIF ARKERYD ANNE NOURI ANNALES DE LA FACULTÉ DES SCIENCES DE TOULOUSE LEIF ARKERYD ANNE NOURI L 1 solutions to the stationary Boltzmann equation in a slab Annales de la faculté des sciences de Toulouse 6 e série, tome 9, n o

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

Fluid dynamics for a vapor-gas mixture derived from kinetic theory

Fluid dynamics for a vapor-gas mixture derived from kinetic theory IPAM Workshop II The Boltzmann Equation: DiPerna-Lions Plus 20 Years (IPAM-UCLA, April 15-17, 2009) Fluid dynamics for a vapor-gas mixture derived from kinetic theory Kazuo Aoki Department of Mechanical

More information

Fourier Transform & Sobolev Spaces

Fourier Transform & Sobolev Spaces Fourier Transform & Sobolev Spaces Michael Reiter, Arthur Schuster Summer Term 2008 Abstract We introduce the concept of weak derivative that allows us to define new interesting Hilbert spaces the Sobolev

More information

Sobolev spaces. May 18

Sobolev spaces. May 18 Sobolev spaces May 18 2015 1 Weak derivatives The purpose of these notes is to give a very basic introduction to Sobolev spaces. More extensive treatments can e.g. be found in the classical references

More information

Microlocal Methods in X-ray Tomography

Microlocal Methods in X-ray Tomography Microlocal Methods in X-ray Tomography Plamen Stefanov Purdue University Lecture I: Euclidean X-ray tomography Mini Course, Fields Institute, 2012 Plamen Stefanov (Purdue University ) Microlocal Methods

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

ON A NEW CLASS OF WEAK SOLUTIONS TO THE SPATIALLY HOMOGENEOUS BOLTZMANN AND LANDAU EQUATIONS

ON A NEW CLASS OF WEAK SOLUTIONS TO THE SPATIALLY HOMOGENEOUS BOLTZMANN AND LANDAU EQUATIONS ON A NEW CLASS OF WEAK SOLUTIONS TO THE SPATIALLY HOMOGENEOUS BOLTZMANN AND LANDAU EQUATIONS C. VILLANI Abstract. This paper deals with the spatially homogeneous Boltzmann equation when grazing collisions

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

Stability estimates in stationary inverse transport

Stability estimates in stationary inverse transport Stability estimates in stationary inverse transport Guillaume Bal and Alexandre Jollivet April 8, 28 Abstract We study the stability of the reconstruction of the scattering and absorption coefficients

More information

Global weak solutions for a Vlasov-Fokker-Planck/Navier-Stokes system of equations

Global weak solutions for a Vlasov-Fokker-Planck/Navier-Stokes system of equations Global weak solutions for a Vlasov-Fokker-Planck/Navier-Stokes system of equations A.Mellet and A.Vasseur Department of Mathematics University of Texas at Austin Abstract We establish the existence of

More information

2 (Bonus). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure?

2 (Bonus). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure? MA 645-4A (Real Analysis), Dr. Chernov Homework assignment 1 (Due 9/5). Prove that every countable set A is measurable and µ(a) = 0. 2 (Bonus). Let A consist of points (x, y) such that either x or y is

More information

EXISTENCE OF NONTRIVIAL STEADY STATES FOR POPULATIONS STRUCTURED WITH RESPECT TO SPACE AND A CONTINUOUS TRAIT. Anton Arnold. Laurent Desvillettes

EXISTENCE OF NONTRIVIAL STEADY STATES FOR POPULATIONS STRUCTURED WITH RESPECT TO SPACE AND A CONTINUOUS TRAIT. Anton Arnold. Laurent Desvillettes Manuscript submitted to AIMS Journals Volume X, Number X, XX 2X Website: http://aimsciences.org pp. X XX EXISTENCE OF NONTRIVIAL STEADY STATES FOR POPULATIONS STRUCTURED WITH RESPECT TO SPACE AND A CONTINUOUS

More information

The speed of propagation for KPP type problems. II - General domains

The speed of propagation for KPP type problems. II - General domains The speed of propagation for KPP type problems. II - General domains Henri Berestycki a, François Hamel b and Nikolai Nadirashvili c a EHESS, CAMS, 54 Boulevard Raspail, F-75006 Paris, France b Université

More information

NONLINEAR ELLIPTIC EQUATIONS WITH MEASURES REVISITED

NONLINEAR ELLIPTIC EQUATIONS WITH MEASURES REVISITED NONLINEAR ELLIPTIC EQUATIONS WITH MEASURES REVISITED Haïm Brezis (1),(2), Moshe Marcus (3) and Augusto C. Ponce (4) Abstract. We study the existence of solutions of the nonlinear problem (P) ( u + g(u)

More information

Gaussian Random Field: simulation and quantification of the error

Gaussian Random Field: simulation and quantification of the error Gaussian Random Field: simulation and quantification of the error EMSE Workshop 6 November 2017 3 2 1 0-1 -2-3 80 60 40 1 Continuity Separability Proving continuity without separability 2 The stationary

More information

Conservation law equations : problem set

Conservation law equations : problem set Conservation law equations : problem set Luis Silvestre For Isaac Neal and Elia Portnoy in the 2018 summer bootcamp 1 Method of characteristics For the problems in this section, assume that the solutions

More information

APPLICATIONS OF DIFFERENTIABILITY IN R n.

APPLICATIONS OF DIFFERENTIABILITY IN R n. APPLICATIONS OF DIFFERENTIABILITY IN R n. MATANIA BEN-ARTZI April 2015 Functions here are defined on a subset T R n and take values in R m, where m can be smaller, equal or greater than n. The (open) ball

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

3 (Due ). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure?

3 (Due ). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure? MA 645-4A (Real Analysis), Dr. Chernov Homework assignment 1 (Due ). Show that the open disk x 2 + y 2 < 1 is a countable union of planar elementary sets. Show that the closed disk x 2 + y 2 1 is a countable

More information

Lebesgue Integration on R n

Lebesgue Integration on R n Lebesgue Integration on R n The treatment here is based loosely on that of Jones, Lebesgue Integration on Euclidean Space We give an overview from the perspective of a user of the theory Riemann integration

More information

Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm

Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm Chapter 13 Radon Measures Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm (13.1) f = sup x X f(x). We want to identify

More information

2. Function spaces and approximation

2. Function spaces and approximation 2.1 2. Function spaces and approximation 2.1. The space of test functions. Notation and prerequisites are collected in Appendix A. Let Ω be an open subset of R n. The space C0 (Ω), consisting of the C

More information

WEAK VORTICITY FORMULATION FOR THE INCOMPRESSIBLE 2D EULER EQUATIONS IN DOMAINS WITH BOUNDARY

WEAK VORTICITY FORMULATION FOR THE INCOMPRESSIBLE 2D EULER EQUATIONS IN DOMAINS WITH BOUNDARY WEAK VORTICITY FORMULATION FOR THE INCOMPRESSIBLE 2D EULER EQUATIONS IN DOMAINS WITH BOUNDARY D. IFTIMIE, M. C. LOPES FILHO, H. J. NUSSENZVEIG LOPES AND F. SUEUR Abstract. In this article we examine the

More information

Kinetic models of Maxwell type. A brief history Part I

Kinetic models of Maxwell type. A brief history Part I . A brief history Part I Department of Mathematics University of Pavia, Italy Porto Ercole, June 8-10 2008 Summer School METHODS AND MODELS OF KINETIC THEORY Outline 1 Introduction Wild result The central

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

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

BIHARMONIC WAVE MAPS INTO SPHERES

BIHARMONIC WAVE MAPS INTO SPHERES BIHARMONIC WAVE MAPS INTO SPHERES SEBASTIAN HERR, TOBIAS LAMM, AND ROLAND SCHNAUBELT Abstract. A global weak solution of the biharmonic wave map equation in the energy space for spherical targets is constructed.

More information

Global Weak Solution to the Boltzmann-Enskog equation

Global Weak Solution to the Boltzmann-Enskog equation Global Weak Solution to the Boltzmann-Enskog equation Seung-Yeal Ha 1 and Se Eun Noh 2 1) Department of Mathematical Science, Seoul National University, Seoul 151-742, KOREA 2) Department of Mathematical

More information

CONVERGENCE THEORY. G. ALLAIRE CMAP, Ecole Polytechnique. 1. Maximum principle. 2. Oscillating test function. 3. Two-scale convergence

CONVERGENCE THEORY. G. ALLAIRE CMAP, Ecole Polytechnique. 1. Maximum principle. 2. Oscillating test function. 3. Two-scale convergence 1 CONVERGENCE THEOR G. ALLAIRE CMAP, Ecole Polytechnique 1. Maximum principle 2. Oscillating test function 3. Two-scale convergence 4. Application to homogenization 5. General theory H-convergence) 6.

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

c 2015 Society for Industrial and Applied Mathematics

c 2015 Society for Industrial and Applied Mathematics SIAM J. MATH. ANAL. Vol. 47, No. 6, pp. 47 474 c 5 Society for Industrial and Applied Mathematics WELL-POSEDNESS OF THE CAUCHY PROBLEM FOR A SPACE-DEPENDENT ANYON BOLTZMANN EQUATION LEIF ARKERYD AND ANNE

More information

Nonlinear Regularizing Effects for Hyperbolic Conservation Laws

Nonlinear Regularizing Effects for Hyperbolic Conservation Laws Nonlinear Regularizing Effects for Hyperbolic Conservation Laws Ecole Polytechnique Centre de Mathématiques Laurent Schwartz Collège de France, séminaire EDP, 4 mai 2012 Motivation Consider Cauchy problem

More information

Large time concentrations for solutions to. kinetic equations with energy dissipation.

Large time concentrations for solutions to. kinetic equations with energy dissipation. Large time concentrations for solutions to kinetic equations with energy dissipation. Pierre-Emmanuel Jabin Ecole Normale Suprieure Dpartement de Mathmatiques et d Informatique 45 rue d Ulm 75230 Paris

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

L p Spaces and Convexity

L p Spaces and Convexity L p Spaces and Convexity These notes largely follow the treatments in Royden, Real Analysis, and Rudin, Real & Complex Analysis. 1. Convex functions Let I R be an interval. For I open, we say a function

More information

+ 2x sin x. f(b i ) f(a i ) < ɛ. i=1. i=1

+ 2x sin x. f(b i ) f(a i ) < ɛ. i=1. i=1 Appendix To understand weak derivatives and distributional derivatives in the simplest context of functions of a single variable, we describe without proof some results from real analysis (see [7] and

More information

2 Lebesgue integration

2 Lebesgue integration 2 Lebesgue integration 1. Let (, A, µ) be a measure space. We will always assume that µ is complete, otherwise we first take its completion. The example to have in mind is the Lebesgue measure on R n,

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

Sobolev Spaces. Chapter 10

Sobolev Spaces. Chapter 10 Chapter 1 Sobolev Spaces We now define spaces H 1,p (R n ), known as Sobolev spaces. For u to belong to H 1,p (R n ), we require that u L p (R n ) and that u have weak derivatives of first order in L p

More information

We denote the space of distributions on Ω by D ( Ω) 2.

We denote the space of distributions on Ω by D ( Ω) 2. Sep. 1 0, 008 Distributions Distributions are generalized functions. Some familiarity with the theory of distributions helps understanding of various function spaces which play important roles in the study

More information

Velocity averaging, kinetic formulations and regularizing effects in conservation laws and related PDEs. Eitan Tadmor. University of Maryland

Velocity averaging, kinetic formulations and regularizing effects in conservation laws and related PDEs. Eitan Tadmor. University of Maryland Velocity averaging, kinetic formulations and regularizing effects in conservation laws and related PDEs Eitan Tadmor Center for Scientific Computation and Mathematical Modeling (CSCAMM) Department of Mathematics,

More information

Integral Representation Formula, Boundary Integral Operators and Calderón projection

Integral Representation Formula, Boundary Integral Operators and Calderón projection Integral Representation Formula, Boundary Integral Operators and Calderón projection Seminar BEM on Wave Scattering Franziska Weber ETH Zürich October 22, 2010 Outline Integral Representation Formula Newton

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

SYMMETRY OF POSITIVE SOLUTIONS OF SOME NONLINEAR EQUATIONS. M. Grossi S. Kesavan F. Pacella M. Ramaswamy. 1. Introduction

SYMMETRY OF POSITIVE SOLUTIONS OF SOME NONLINEAR EQUATIONS. M. Grossi S. Kesavan F. Pacella M. Ramaswamy. 1. Introduction Topological Methods in Nonlinear Analysis Journal of the Juliusz Schauder Center Volume 12, 1998, 47 59 SYMMETRY OF POSITIVE SOLUTIONS OF SOME NONLINEAR EQUATIONS M. Grossi S. Kesavan F. Pacella M. Ramaswamy

More information

Riemann integral and volume are generalized to unbounded functions and sets. is an admissible set, and its volume is a Riemann integral, 1l E,

Riemann integral and volume are generalized to unbounded functions and sets. is an admissible set, and its volume is a Riemann integral, 1l E, Tel Aviv University, 26 Analysis-III 9 9 Improper integral 9a Introduction....................... 9 9b Positive integrands................... 9c Special functions gamma and beta......... 4 9d Change of

More information

Exercise 1. Let f be a nonnegative measurable function. Show that. where ϕ is taken over all simple functions with ϕ f. k 1.

Exercise 1. Let f be a nonnegative measurable function. Show that. where ϕ is taken over all simple functions with ϕ f. k 1. Real Variables, Fall 2014 Problem set 3 Solution suggestions xercise 1. Let f be a nonnegative measurable function. Show that f = sup ϕ, where ϕ is taken over all simple functions with ϕ f. For each n

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

Velocity averaging a general framework

Velocity averaging a general framework Outline Velocity averaging a general framework Martin Lazar BCAM ERC-NUMERIWAVES Seminar May 15, 2013 Joint work with D. Mitrović, University of Montenegro, Montenegro Outline Outline 1 2 L p, p >= 2 setting

More information

Laudatio of Kazuo Aoki for the Levi Civita Prize 2013

Laudatio of Kazuo Aoki for the Levi Civita Prize 2013 Laudatio of Kazuo Aoki for the Levi Civita Prize 2013 Kazuo Aoki was born in Kyoto, Japan in 1950. He obtained his degrees of Bachelor of Engineering (in 1973) and Master of Engineering (in 1975) at the

More information

P(E t, Ω)dt, (2) 4t has an advantage with respect. to the compactly supported mollifiers, i.e., the function W (t)f satisfies a semigroup law:

P(E t, Ω)dt, (2) 4t has an advantage with respect. to the compactly supported mollifiers, i.e., the function W (t)f satisfies a semigroup law: Introduction Functions of bounded variation, usually denoted by BV, have had and have an important role in several problems of calculus of variations. The main features that make BV functions suitable

More information

CHAPTER I THE RIESZ REPRESENTATION THEOREM

CHAPTER I THE RIESZ REPRESENTATION THEOREM CHAPTER I THE RIESZ REPRESENTATION THEOREM We begin our study by identifying certain special kinds of linear functionals on certain special vector spaces of functions. We describe these linear functionals

More information

Failure of the Raikov Theorem for Free Random Variables

Failure of the Raikov Theorem for Free Random Variables Failure of the Raikov Theorem for Free Random Variables Florent Benaych-Georges DMA, École Normale Supérieure, 45 rue d Ulm, 75230 Paris Cedex 05 e-mail: benaych@dma.ens.fr http://www.dma.ens.fr/ benaych

More information

Analisis para la ecuacion de Boltzmann Soluciones y Approximaciones

Analisis para la ecuacion de Boltzmann Soluciones y Approximaciones Analisis para la ecuacion de Boltzmann Soluciones y Approximaciones Irene M. Gamba Department of Mathematics and ICES The University of Texas at Austin Mar del PLata, Julio 2012 Collaborators: R. Alonso,

More information

Lectures notes on Boltzmann s equation

Lectures notes on Boltzmann s equation 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

More information

Citation PHYSICS OF FLUIDS (2003), 15(3): 68.

Citation PHYSICS OF FLUIDS (2003), 15(3): 68. Vapor flows condensing at incidence Titlephase in the presence of a nonconde condensation Author(s) Taguchi, S; Aoki, K; Takata, S Citation PHYSICS OF FLUIDS (2003), 15(3): 68 Issue Date 2003-03 URL http://hdl.handle.net/2433/39782

More information

Course 212: Academic Year Section 1: Metric Spaces

Course 212: Academic Year Section 1: Metric Spaces Course 212: Academic Year 1991-2 Section 1: Metric Spaces D. R. Wilkins Contents 1 Metric Spaces 3 1.1 Distance Functions and Metric Spaces............. 3 1.2 Convergence and Continuity in Metric Spaces.........

More information

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product Chapter 4 Hilbert Spaces 4.1 Inner Product Spaces Inner Product Space. A complex vector space E is called an inner product space (or a pre-hilbert space, or a unitary space) if there is a mapping (, )

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

Sobolev spaces, Trace theorems and Green s functions.

Sobolev spaces, Trace theorems and Green s functions. Sobolev spaces, Trace theorems and Green s functions. Boundary Element Methods for Waves Scattering Numerical Analysis Seminar. Orane Jecker October 21, 2010 Plan Introduction 1 Useful definitions 2 Distributions

More information

Some Aspects of Solutions of Partial Differential Equations

Some Aspects of Solutions of Partial Differential Equations Some Aspects of Solutions of Partial Differential Equations K. Sakthivel Department of Mathematics Indian Institute of Space Science & Technology(IIST) Trivandrum - 695 547, Kerala Sakthivel@iist.ac.in

More information

P-adic Functions - Part 1

P-adic Functions - Part 1 P-adic Functions - Part 1 Nicolae Ciocan 22.11.2011 1 Locally constant functions Motivation: Another big difference between p-adic analysis and real analysis is the existence of nontrivial locally constant

More information

M2PM1 Analysis II (2008) Dr M Ruzhansky List of definitions, statements and examples Preliminary version

M2PM1 Analysis II (2008) Dr M Ruzhansky List of definitions, statements and examples Preliminary version M2PM1 Analysis II (2008) Dr M Ruzhansky List of definitions, statements and examples Preliminary version Chapter 0: Some revision of M1P1: Limits and continuity This chapter is mostly the revision of Chapter

More information

REMARKS ON THE VANISHING OBSTACLE LIMIT FOR A 3D VISCOUS INCOMPRESSIBLE FLUID

REMARKS ON THE VANISHING OBSTACLE LIMIT FOR A 3D VISCOUS INCOMPRESSIBLE FLUID REMARKS ON THE VANISHING OBSTACLE LIMIT FOR A 3D VISCOUS INCOMPRESSIBLE FLUID DRAGOŞ IFTIMIE AND JAMES P. KELLIHER Abstract. In [Math. Ann. 336 (2006), 449-489] the authors consider the two dimensional

More information

MATH 220: INNER PRODUCT SPACES, SYMMETRIC OPERATORS, ORTHOGONALITY

MATH 220: INNER PRODUCT SPACES, SYMMETRIC OPERATORS, ORTHOGONALITY MATH 22: INNER PRODUCT SPACES, SYMMETRIC OPERATORS, ORTHOGONALITY When discussing separation of variables, we noted that at the last step we need to express the inhomogeneous initial or boundary data as

More information

1 Continuity Classes C m (Ω)

1 Continuity Classes C m (Ω) 0.1 Norms 0.1 Norms A norm on a linear space X is a function : X R with the properties: Positive Definite: x 0 x X (nonnegative) x = 0 x = 0 (strictly positive) λx = λ x x X, λ C(homogeneous) x + y x +

More information

Algebras of singular integral operators with kernels controlled by multiple norms

Algebras of singular integral operators with kernels controlled by multiple norms Algebras of singular integral operators with kernels controlled by multiple norms Alexander Nagel Conference in Harmonic Analysis in Honor of Michael Christ This is a report on joint work with Fulvio Ricci,

More information

Free energy estimates for the two-dimensional Keller-Segel model

Free energy estimates for the two-dimensional Keller-Segel model Free energy estimates for the two-dimensional Keller-Segel model dolbeaul@ceremade.dauphine.fr CEREMADE CNRS & Université Paris-Dauphine in collaboration with A. Blanchet (CERMICS, ENPC & Ceremade) & B.

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

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

Generalized transition waves and their properties

Generalized transition waves and their properties Generalized transition waves and their properties Henri Berestycki a and François Hamel b a EHESS, CAMS, 54 Boulevard Raspail, F-75006 Paris, France & University of Chicago, Department of Mathematics 5734

More information

MATH MEASURE THEORY AND FOURIER ANALYSIS. Contents

MATH MEASURE THEORY AND FOURIER ANALYSIS. Contents MATH 3969 - MEASURE THEORY AND FOURIER ANALYSIS ANDREW TULLOCH Contents 1. Measure Theory 2 1.1. Properties of Measures 3 1.2. Constructing σ-algebras and measures 3 1.3. Properties of the Lebesgue measure

More information

THE INVERSE FUNCTION THEOREM

THE INVERSE FUNCTION THEOREM THE INVERSE FUNCTION THEOREM W. PATRICK HOOPER The implicit function theorem is the following result: Theorem 1. Let f be a C 1 function from a neighborhood of a point a R n into R n. Suppose A = Df(a)

More information

NECESSARY CONDITIONS FOR WEIGHTED POINTWISE HARDY INEQUALITIES

NECESSARY CONDITIONS FOR WEIGHTED POINTWISE HARDY INEQUALITIES NECESSARY CONDITIONS FOR WEIGHTED POINTWISE HARDY INEQUALITIES JUHA LEHRBÄCK Abstract. We establish necessary conditions for domains Ω R n which admit the pointwise (p, β)-hardy inequality u(x) Cd Ω(x)

More information

Probability and Measure

Probability and Measure Part II Year 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2018 84 Paper 4, Section II 26J Let (X, A) be a measurable space. Let T : X X be a measurable map, and µ a probability

More information

Singular Integrals. 1 Calderon-Zygmund decomposition

Singular Integrals. 1 Calderon-Zygmund decomposition Singular Integrals Analysis III Calderon-Zygmund decomposition Let f be an integrable function f dx 0, f = g + b with g Cα almost everywhere, with b

More information

Quantum Hydrodynamics models derived from the entropy principle

Quantum Hydrodynamics models derived from the entropy principle 1 Quantum Hydrodynamics models derived from the entropy principle P. Degond (1), Ch. Ringhofer (2) (1) MIP, CNRS and Université Paul Sabatier, 118 route de Narbonne, 31062 Toulouse cedex, France degond@mip.ups-tlse.fr

More information

A class of non-convex polytopes that admit no orthonormal basis of exponentials

A class of non-convex polytopes that admit no orthonormal basis of exponentials A class of non-convex polytopes that admit no orthonormal basis of exponentials Mihail N. Kolountzakis and Michael Papadimitrakis 1 Abstract A conjecture of Fuglede states that a bounded measurable set

More information

Solutions: Problem Set 4 Math 201B, Winter 2007

Solutions: Problem Set 4 Math 201B, Winter 2007 Solutions: Problem Set 4 Math 2B, Winter 27 Problem. (a Define f : by { x /2 if < x

More information

On the Ladyzhenskaya Smagorinsky turbulence model of the Navier Stokes equations in smooth domains. The regularity problem

On the Ladyzhenskaya Smagorinsky turbulence model of the Navier Stokes equations in smooth domains. The regularity problem J. Eur. Math. Soc. 11, 127 167 c European Mathematical Society 2009 H. Beirão da Veiga On the Ladyzhenskaya Smagorinsky turbulence model of the Navier Stokes equations in smooth domains. The regularity

More information

Useful Probability Theorems

Useful Probability Theorems Useful Probability Theorems Shiu-Tang Li Finished: March 23, 2013 Last updated: November 2, 2013 1 Convergence in distribution Theorem 1.1. TFAE: (i) µ n µ, µ n, µ are probability measures. (ii) F n (x)

More information

EXISTENCE AND REGULARITY RESULTS FOR SOME NONLINEAR PARABOLIC EQUATIONS

EXISTENCE AND REGULARITY RESULTS FOR SOME NONLINEAR PARABOLIC EQUATIONS EXISTECE AD REGULARITY RESULTS FOR SOME OLIEAR PARABOLIC EUATIOS Lucio BOCCARDO 1 Andrea DALL AGLIO 2 Thierry GALLOUËT3 Luigi ORSIA 1 Abstract We prove summability results for the solutions of nonlinear

More information

WELL-POSEDNESS BY NOISE FOR SCALAR CONSERVATION LAWS. 1. Introduction

WELL-POSEDNESS BY NOISE FOR SCALAR CONSERVATION LAWS. 1. Introduction WELL-POSEDNESS BY NOISE FOR SCALAR CONSERVATION LAWS BENJAMIN GESS AND MARIO MAURELLI Abstract. We consider stochastic scalar conservation laws with spatially inhomogeneous flux. The regularity of the

More information

Quadratic reciprocity (after Weil) 1. Standard set-up and Poisson summation

Quadratic reciprocity (after Weil) 1. Standard set-up and Poisson summation (December 19, 010 Quadratic reciprocity (after Weil Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ I show that over global fields k (characteristic not the quadratic norm residue symbol

More information

Wavelets and modular inequalities in variable L p spaces

Wavelets and modular inequalities in variable L p spaces Wavelets and modular inequalities in variable L p spaces Mitsuo Izuki July 14, 2007 Abstract The aim of this paper is to characterize variable L p spaces L p( ) (R n ) using wavelets with proper smoothness

More information

Entropy Methods for Reaction-Diffusion Equations with Degenerate Diffusion Arising in Reversible Chemistry

Entropy Methods for Reaction-Diffusion Equations with Degenerate Diffusion Arising in Reversible Chemistry 1 Entropy Methods for Reaction-Diffusion Equations with Degenerate Diffusion Arising in Reversible Chemistry L. Desvillettes CMLA, ENS Cachan, IUF & CNRS, PRES UniverSud, 61, avenue du Président Wilson,

More information

On a general definition of transition waves and their properties

On a general definition of transition waves and their properties On a general definition of transition waves and their properties Henri Berestycki a and François Hamel b a EHESS, CAMS, 54 Boulevard Raspail, F-75006 Paris, France b Université Aix-Marseille III, LATP,

More information

Parcours OJD, Ecole Polytechnique et Université Pierre et Marie Curie 05 Mai 2015

Parcours OJD, Ecole Polytechnique et Université Pierre et Marie Curie 05 Mai 2015 Examen du cours Optimisation Stochastique Version 06/05/2014 Mastère de Mathématiques de la Modélisation F. Bonnans Parcours OJD, Ecole Polytechnique et Université Pierre et Marie Curie 05 Mai 2015 Authorized

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

Journal of Inequalities in Pure and Applied Mathematics

Journal of Inequalities in Pure and Applied Mathematics Journal of Inequalities in Pure and Applied Mathematics http://jipam.vu.edu.au/ Volume 3, Issue 3, Article 46, 2002 WEAK PERIODIC SOLUTIONS OF SOME QUASILINEAR PARABOLIC EQUATIONS WITH DATA MEASURES N.

More information

Topological Properties of Operations on Spaces of Continuous Functions and Integrable Functions

Topological Properties of Operations on Spaces of Continuous Functions and Integrable Functions Topological Properties of Operations on Spaces of Continuous Functions and Integrable Functions Holly Renaud University of Memphis hrenaud@memphis.edu May 3, 2018 Holly Renaud (UofM) Topological Properties

More information

Functional Analysis. Franck Sueur Metric spaces Definitions Completeness Compactness Separability...

Functional Analysis. Franck Sueur Metric spaces Definitions Completeness Compactness Separability... Functional Analysis Franck Sueur 2018-2019 Contents 1 Metric spaces 1 1.1 Definitions........................................ 1 1.2 Completeness...................................... 3 1.3 Compactness......................................

More information

Spectral theory for compact operators on Banach spaces

Spectral theory for compact operators on Banach spaces 68 Chapter 9 Spectral theory for compact operators on Banach spaces Recall that a subset S of a metric space X is precompact if its closure is compact, or equivalently every sequence contains a Cauchy

More information

Reminder Notes for the Course on Distribution Theory

Reminder Notes for the Course on Distribution Theory Reminder Notes for the Course on Distribution Theory T. C. Dorlas Dublin Institute for Advanced Studies School of Theoretical Physics 10 Burlington Road, Dublin 4, Ireland. Email: dorlas@stp.dias.ie March

More information

Part II Probability and Measure

Part II Probability and Measure Part II Probability and Measure Theorems Based on lectures by J. Miller Notes taken by Dexter Chua Michaelmas 2016 These notes are not endorsed by the lecturers, and I have modified them (often significantly)

More information