time compactness for approximate solutions of evolution
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Time compactness for approximate solutions of evolution problems T. Gallou et Porto, may 1, 2014 Parabolic equation with L 1 data Coauthors : Lucio Boccardo (continuous setting, 1989) Robert Eymard, Rapha` ele Herbin (discrete setting,


  1. Time compactness for approximate solutions of evolution problems T. Gallou¨ et Porto, may 1, 2014 ◮ Parabolic equation with L 1 data Coauthors : Lucio Boccardo (continuous setting, 1989) Robert Eymard, Rapha` ele Herbin (discrete setting, 2000) Aur´ elien Larcher, Jean-Claude Latch´ e (discrete setting, 2011) ◮ Stefan problem Coauthors: R. Eymard, P. F´ eron, C. Guichard, R. Herbin ◮ Other examples : incompressible and compressible Stokes and Navier-Stokes equations Coauthors : E. Ch´ enier, R. E., R.H. (2013) and A. Fettah

  2. Example (coming from RANS model for turbulent flows) ∂ t u + div ( vu ) − ∆ u = f in Ω × (0 , T ) , u = 0 on ∂ Ω × (0 , T ) , u ( · , 0) = u 0 in Ω . ◮ Ω is a bounded open subset of R d ( d = 2 or 3) with a Lipschitz continuous boundary ◮ v ∈ C 1 (Ω × [0 , T ] , R ) ◮ u 0 ∈ L 1 (Ω) (or u 0 is a Radon measure on Ω) ◮ f ∈ L 1 (Ω × (0 , T )) (or f is a Radon measure on Ω × (0 , T )) with possible generalization to nonlinear problems. Non smooth solutions.

  3. What is the problem ? 1. Existence of weak solution and (strong) convergence of “continuous approximate solutions”, that is solutions of the continuous problem with regular data converging to f and u 0 . 2. Existence of weak solution and (strong) convergence of the approximate solutions given by a full discretized problem. In both case, we want to prove strong compactness (in L p space) of a sequence of approximate solutions. This is the main subject of this talk.

  4. Continuous approximation ( f n ) n ∈ N and ( u 0 , n ) n ∈ N are two sequences of regular functions such that � T � T � � f ϕ dxdt , ∀ ϕ ∈ C ∞ f n ϕ dxdt → c (Ω × (0 , T ) , R ) , 0 Ω 0 Ω � � u 0 ϕ dx , ∀ ϕ ∈ C ∞ u 0 , n ϕ dx → c (Ω , R ) . Ω Ω For n ∈ N , it is well known that there exist u n solution of the regularized problem ∂ t u n + div ( vu n ) − ∆ u n = f n in Ω × (0 , T ) , u n = 0 on ∂ Ω × (0 , T ) , u n ( · , 0) = u 0 , n in Ω . One has, at least, u n ∈ L 2 ((0 , T ) , H 1 0 (Ω)) ∩ C ([0 , T ] , L 2 (Ω)) and ∂ t u n ∈ L 2 ((0 , T ) , H − 1 (Ω)).

  5. Continuous approximation, steps of the proof of convergence 1. Estimate on u n (not easy). One proves that the sequence ( u n ) n ∈ N is bounded in (Ω)) for all 1 ≤ q < d + 2 L q ((0 , T ) , W 1 , q d + 1 . 0 (This gives, up to a subsequence, weak convergence in L q (Ω × (0 , T )) of u n to some u and then, since the problem is linear, that u is a weak solution of the problem with f and u 0 .) 2. Strong compactness of the sequence ( u n ) n ∈ N 3. Regularity of the limit of the sequence ( u n ) n ∈ N . 4. Passage to the limit in the approximate equation (easy).

  6. Aubin-Simon’ Compactness Lemma X , B , Y are three Banach spaces such that ◮ X ⊂ B with compact embedding, ◮ B ⊂ Y with continuous embedding. Let T > 0, 1 ≤ p < + ∞ and ( u n ) n ∈ N be a sequence such that ◮ ( u n ) n ∈ N is bounded in L p ((0 , T ) , X ), ◮ ( ∂ t u n ) n ∈ N is bounded in L p ((0 , T ) , Y ). Then there exists u ∈ L p ((0 , T ) , B ) such that, up to a subsequence, u n → u in L p ((0 , T ) , B ). Example: p = 2, X = H 1 0 (Ω), B = L 2 (Ω), Y = H − 1 (Ω) (dual space of X ). 0 (Ω) ⊂ L 2 (Ω) = L 2 (Ω) ′ ⊂ H − 1 (Ω). As usual, H 1

  7. Aubin-Simon’ Compactness Lemma X , B , Y are three Banach spaces such that ◮ X ⊂ B with compact embedding, ◮ B ⊂ Y with continuous embedding. Let T > 0, 1 ≤ p < + ∞ and ( u n ) n ∈ N be a sequence such that ◮ ( u n ) n ∈ N is bounded in L p ((0 , T ) , X ), ◮ ( ∂ t u n ) n ∈ N is bounded in L p ((0 , T ) , Y ). Then there exists u ∈ L p ((0 , T ) , B ) such that, up to a subsequence, u n → u in L p ((0 , T ) , B ). Example: p = 1, X = W 1 , 1 (Ω), B = L 1 (Ω), 0 Y = W − 1 , 1 (Ω) = ( W 1 , ∞ (Ω)) ′ . As usual, we identify an 0 ⋆ L 1 -function with the corresponding linear form on W 1 , ∞ (Ω). 0

  8. Classical Lions’ lemma X , B , Y are three Banach spaces such that ◮ X ⊂ B with compact embedding, ◮ B ⊂ Y with continuous embedding. Then, for any ε > 0, there exists C ε such that, for w ∈ X , � w � B ≤ ε � w � X + C ε � w � Y . Proof: By contradiction Improvment : “ B ⊂ Y with continuous embedding” can be replaced by the weaker hypothesis “( w n ) n ∈ N bounded in X , w n → w in B , w n → 0 in Y implies w = 0”

  9. Classical Lions’ lemma, another formulation X , B , Y are three Banach spaces such that, X ⊂ B ⊂ Y , ◮ If ( � w n � X ) n ∈ N is bounded, then, up to a subsequence, there exists w ∈ B such that w n → w in B . ◮ If w n → w in B and � w n � Y → 0, then w = 0. Then, for any ε > 0, there exists C ε such that, for w ∈ X , � w � B ≤ ε � w � X + C ε � w � Y . The hypothesis B ⊂ Y is not necessary.

  10. Classical Lions’ lemma, improvment X , B , Y are three Banach spaces such that, X ⊂ B , If ( � w n � X ) n ∈ N is bounded, then, ◮ up to a subsequence, there exists w ∈ B such that w n → w in B . ◮ if w n → w in B and � w n � Y → 0, then w = 0. Then, for any ε > 0, there exists C ε such that, for w ∈ X , � w � B ≤ ε � w � X + C ε � w � Y . The hypothesis B ⊂ Y is not necessary.

  11. Classical Lions’ lemma, a particular case, simpler B is a Hilbert space and X is a Banach space X ⊂ B . We define on X the dual norm of � · � X , with the scalar product of B , namely � u � Y = sup { ( u / v ) B , v ∈ X , � v � X ≤ 1 } . Then, for any ε > 0 and w ∈ X , � w � B ≤ ε � w � X + 1 ε � w � Y . The proof is simple since 2 ≤ ε � w � X + 1 1 1 � u � B = ( u / u ) B ≤ ( � u � Y � u � X ) 2 ε � w � Y . Compactness of X in B is not needed here (but this compactness is needed for Aubin-Simon’ Lemma, next slide. . . ).

  12. Aubin-Simon’ Compactness Lemma X , B , Y are three Banach spaces such that ◮ X ⊂ B with compact embedding, ◮ B ⊂ Y with continuous embedding. Let T > 0 and ( u n ) n ∈ N be a sequence such that ◮ ( u n ) n ∈ N is bounded in L 1 ((0 , T ) , X ), ◮ ( ∂ t u n ) n ∈ N is bounded in L 1 ((0 , T ) , Y ). Then there exists u ∈ L 1 ((0 , T ) , B ) such that, up to a subsequence, u n → u in L 1 ((0 , T ) , B ). Example: X = W 1 , 1 (Ω), B = L 1 (Ω), Y = W − 1 , 1 (Ω). 0 ⋆

  13. Aubin-Simon’ Compactness Lemma, improvment X , B , Y are three Banach spaces such that, X ⊂ B , If ( � w n � X ) n ∈ N is bounded, then, ◮ up to a subsequence, there exists w ∈ B such that w n → w in B . ◮ if w n → w in B and � w n � Y → 0, then w = 0. Let T > 0 and ( u n ) n ∈ N be a sequence such that ◮ ( u n ) n ∈ N is bounded in L 1 ((0 , T ) , X ), ◮ ( ∂ t u n ) n ∈ N is bounded in L 1 ((0 , T ) , Y ). Then there exists u ∈ L 1 ((0 , T ) , B ) such that, up to a subsequence, u n → u in L 1 ((0 , T ) , B ). Example: X = W 1 , 1 (Ω), B = L 1 (Ω), Y = W − 1 , 1 (Ω). 0 ⋆

  14. Continuous approx., compactness of the sequence ( u n ) n ∈ N u n is solution of he continuous problem with data f n and u 0 , n . X = W 1 , 1 (Ω), B = L 1 (Ω), Y = W − 1 , 1 (Ω). 0 ⋆ In order to apply Aubin-Simon’ lemma we need ◮ ( u n ) n ∈ N is bounded in L 1 ((0 , T ) , X ), ◮ ( ∂ t u n ) n ∈ N is bounded in L 1 ((0 , T ) , Y ). The sequence ( u n ) n ∈ N is bounded in L q ((0 , T ) , W 1 , q (Ω)) (for 0 1 ≤ q < ( d + 2) / ( d + 1)) and then is bounded in L 1 ((0 , T ) , X ), since W 1 , q (Ω) is continuously embedded in W 1 , 1 (Ω). 0 0 ∂ t u n = f n − div ( vu n ) − ∆ u n . Is ( ∂ t u n ) n ∈ N bounded in L 1 ((0 , T ) , Y ) ?

  15. Continuous approx., Compactness of the sequence ( u n ) n ∈ N Bound of ( ∂ t u n ) n ∈ N in L 1 ((0 , T ) , W − 1 , 1 (Ω)) ? ⋆ ∂ t u n = f n − div ( vu n ) − ∆ u n . ◮ ( f n ) n ∈ N is bounded in L 1 (0 , T ) , L 1 (Ω)) and then in L 1 ((0 , T ) , W − 1 , 1 (Ω)), since L 1 (Ω) is continously embedded in ⋆ W − 1 , 1 (Ω), ⋆ ◮ ( div ( vu n )) n ∈ N is bounded in L 1 ((0 , T ) , W − 1 , 1 (Ω)) since ⋆ ( vu n ) n ∈ N is bounded in L 1 ((0 , T ) , ( L 1 (Ω)) d and div is a continuous operator from ( L 1 (Ω)) d to W − 1 , 1 (Ω), ⋆ ◮ (∆ u n ) n ∈ N is bounded in L 1 ((0 , T ) , W − 1 , 1 (Ω)) since ( u n ) n ∈ N ⋆ is bounded in L 1 ((0 , T ) , W 1 , 1 (Ω)) and ∆ is a continuous 0 operator from W 1 , 1 (Ω) to W − 1 , 1 (Ω). 0 ⋆ Finally, ( ∂ t u n ) n ∈ N is bounded in L 1 ((0 , T ) , W − 1 , 1 (Ω)). ⋆ Aubin-Simon’ lemma gives (up to a subsequence) u n → u in L 1 ((0 , T ) , L 1 (Ω)).

  16. Regularity of the limit u n → u in L 1 (Ω × (0 , T )) and ( u n ) n ∈ N bounded in L q ((0 , T ) , W 1 , q (Ω)) for 1 ≤ q < ( d + 2) / ( d + 1). Then 0 u n → u in L q (Ω × (0 , T ))) for 1 ≤ q < d + 2 d + 1 , ∇ u n → ∇ u weakly in L q (Ω × (0 , T )) d for 1 ≤ q < d + 2 d + 1 , u ∈ L q ((0 , T ) , W 1 , q (Ω)) for 1 ≤ q < ( d + 2) / ( d + 1) . 0 Remark: L q ((0 , T ) , L q (Ω)) = L q (Ω × (0 , T )) An additional work is needed to prove the strong convergence of ∇ u n to ∇ u .

  17. Full approximation, FV scheme Space discretization: Admissible mesh M . Time step: k ( Nk = T ) K L T K,L =m K,L /d K,L size ( M ) = sup { diam ( K ) , K ∈ M} Unknowns: u ( p ) ∈ R , K ∈ M , p ∈ { 1 , . . . , N } . K Discretization: Implicit in time, upwind for convection, classical 2-points flux for diffusion. (Well known scheme.)

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