Small-amplitude homogenisation of parabolic equations Nenad Antoni - - PowerPoint PPT Presentation

small amplitude homogenisation of parabolic equations
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Small-amplitude homogenisation of parabolic equations Nenad Antoni - - PowerPoint PPT Presentation

Small-amplitude homogenisation of parabolic equations Nenad Antoni c Department of Mathematics Faculty of Science University of Zagreb Dubrovnik, 13 th October, 2008 Joint work with Marko Vrdoljak H-convergence and G-convergence


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Small-amplitude homogenisation

  • f parabolic equations

Nenad Antoni´ c

Department of Mathematics Faculty of Science University of Zagreb

Dubrovnik, 13th October, 2008 Joint work with Marko Vrdoljak

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H-convergence and G-convergence

Homogenisation: in the sense of G-convergence (S. Spagnolo) and H-convergence (F. Murat & L. Tartar)

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H-convergence and G-convergence

Homogenisation: in the sense of G-convergence (S. Spagnolo) and H-convergence (F. Murat & L. Tartar) Recall small-amplitude homogenisation for −div (A∇u) = f .

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Small-amplitude homogenisation

Consider −div (An

γ∇un) = f ,

where An

γ is a perturbation of A0 ∈ C(Ω; Md×d), which is bounded from

below; for small γ function An

γ is analytic in γ:

An

γ(x) = A0 + γBn(x) + γ2Cn(x) + o(γ2) ,

where Bn, Cn

− − ⇀ 0 in L∞(Q; Md×d)).

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Small-amplitude homogenisation

Consider −div (An

γ∇un) = f ,

where An

γ is a perturbation of A0 ∈ C(Ω; Md×d), which is bounded from

below; for small γ function An

γ is analytic in γ:

An

γ(x) = A0 + γBn(x) + γ2Cn(x) + o(γ2) ,

where Bn, Cn

− − ⇀ 0 in L∞(Q; Md×d)). Then (after passing to a subsequence, if needed) An

γ H

− − − ⇀A∞

γ = A0 + γB0 + γ2C0 + o(γ2) ;

the limit being measurable in x, and analytic in γ. A∞

γ is the effective conductivity.

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No first-order term on the limit

Theorem. The effective conductivity matrix A∞

γ admits the expansion

A∞

γ (x) = A0(x) + γ2C0(x) + o(γ2) .

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No first-order term on the limit

Theorem. The effective conductivity matrix A∞

γ admits the expansion

A∞

γ (x) = A0(x) + γ2C0(x) + o(γ2) .

C0 depends only on a subsquence of Bn (and A0), and there is an explicit formula involving the H-measure of the above subsequence: −

  • ϕC0 =
  • µ, ϕ ⊠ ξ ⊗ ξ

A0ξ · ξ

  • .
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No first-order term on the limit

Theorem. The effective conductivity matrix A∞

γ admits the expansion

A∞

γ (x) = A0(x) + γ2C0(x) + o(γ2) .

C0 depends only on a subsquence of Bn (and A0), and there is an explicit formula involving the H-measure of the above subsequence: −

  • ϕC0 =
  • µ, ϕ ⊠ ξ ⊗ ξ

A0ξ · ξ

  • .

This might provide a precise sense for some formulas in the book by Landau & Lifschitz.

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No first-order term on the limit

Theorem. The effective conductivity matrix A∞

γ admits the expansion

A∞

γ (x) = A0(x) + γ2C0(x) + o(γ2) .

C0 depends only on a subsquence of Bn (and A0), and there is an explicit formula involving the H-measure of the above subsequence: −

  • ϕC0 =
  • µ, ϕ ⊠ ξ ⊗ ξ

A0ξ · ξ

  • .

This might provide a precise sense for some formulas in the book by Landau & Lifschitz. The method also works on the system of linearised elasticity (see Tartar’s paper in the Proceedings of SIAM conference in Leesburgh, Dec 1988)

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Our goal

What can be done for parabolic equations?

  • ∂t − div (A∇u) = f

u(0, ·) = u0 . with some boundary conditions.

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Our goal

What can be done for parabolic equations?

  • ∂t − div (A∇u) = f

u(0, ·) = u0 . with some boundary conditions. Things to check:

  • 1. H-convergence and G-convergence (in particular, analytical

dependence of the H-limit on a parameter)

  • 2. Parabolic variant od H-measures
  • 3. What result do we get for small-amplitude homogenisation in this

case (possible applications)

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Known results for elliptic equations Homogenisation of parabolic equations H-convergence and G-convergence H-convergent sequence depending on a parameter A parabolic variant of H-measures What are H-measures and variants ? A brief comparative description Small-amplitude homogenisation Setting of the problem (parabolic case) Variant H-measures in small-amplitude homogenisation

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Parabolic problems

If A does not depend on t, the problem reduces to the elliptic case.

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Parabolic problems

If A does not depend on t, the problem reduces to the elliptic case. For A depending on both t and x, only a few papers (a few more than three, in fact): 1977 S. Spagnolo: Convergence of parabolic operators 1981 V.V. ˇ Zikov et al.: O G-shodimosti paraboliˇ ceskih operatorov 1997 A. Dall’Aglio, F. Murat: A corrector result . . .

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Parabolic problems

If A does not depend on t, the problem reduces to the elliptic case. For A depending on both t and x, only a few papers (a few more than three, in fact): 1977 S. Spagnolo: Convergence of parabolic operators 1981 V.V. ˇ Zikov et al.: O G-shodimosti paraboliˇ ceskih operatorov 1997 A. Dall’Aglio, F. Murat: A corrector result . . . There are some interesting differences in comparison to the elliptic case.

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Non-stationary diffusion

Consider a domain Q = 0, T × Ω, where Ω ⊆ Rd is open:

  • ∂tu − div (A∇u) = f

u(0, ·) = u0 .

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Non-stationary diffusion

Consider a domain Q = 0, T × Ω, where Ω ⊆ Rd is open:

  • ∂tu − div (A∇u) = f

u(0, ·) = u0 . More precisely: V := H1

0(Ω), V ′ := H−1(Ω) and H := L2(Ω),

the Gel’fand triple: V ֒ → H ֒ → V ′.

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Non-stationary diffusion

Consider a domain Q = 0, T × Ω, where Ω ⊆ Rd is open:

  • ∂tu − div (A∇u) = f

u(0, ·) = u0 . More precisely: V := H1

0(Ω), V ′ := H−1(Ω) and H := L2(Ω),

the Gel’fand triple: V ֒ → H ֒ → V ′. For time dependent functions: V := L2(0, T; V ), V′ := L2(0, T; V ′), W = {u ∈ V : ∂tu ∈ V′} and H := L2(0, T; H), again: V ֒ → H ֒ → V′.

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Non-stationary diffusion

Consider a domain Q = 0, T × Ω, where Ω ⊆ Rd is open:

  • ∂tu − div (A∇u) = f

u(0, ·) = u0 . More precisely: V := H1

0(Ω), V ′ := H−1(Ω) and H := L2(Ω),

the Gel’fand triple: V ֒ → H ֒ → V ′. For time dependent functions: V := L2(0, T; V ), V′ := L2(0, T; V ′), W = {u ∈ V : ∂tu ∈ V′} and H := L2(0, T; H), again: V ֒ → H ֒ → V′. Additionally assume A ∈ L∞(Q; Md×d) satisfies: A(t, x)ξ · ξ α|ξ|2 A(t, x)ξ · ξ 1 β |A(t, x)ξ|2 , i.e. it belongs to M(α, β; Q).

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Non-stationary diffusion

Consider a domain Q = 0, T × Ω, where Ω ⊆ Rd is open:

  • ∂tu − div (A∇u) = f

u(0, ·) = u0 . More precisely: V := H1

0(Ω), V ′ := H−1(Ω) and H := L2(Ω),

the Gel’fand triple: V ֒ → H ֒ → V ′. For time dependent functions: V := L2(0, T; V ), V′ := L2(0, T; V ′), W = {u ∈ V : ∂tu ∈ V′} and H := L2(0, T; H), again: V ֒ → H ֒ → V′. Additionally assume A ∈ L∞(Q; Md×d) satisfies: A(t, x)ξ · ξ α|ξ|2 A(t, x)ξ · ξ 1 β |A(t, x)ξ|2 , i.e. it belongs to M(α, β; Q). With such coefficients the problem is well posed: uW c1u0H + c2fV′.

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Parabolic operators

Parabolic operator P ∈ L(W; V′) Pu := ∂tu − div (A∇u) is an isomorphisms of W0 := {u ∈ W : u(0, ·) = 0} onto V′.

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Parabolic operators

Parabolic operator P ∈ L(W; V′) Pu := ∂tu − div (A∇u) is an isomorphisms of W0 := {u ∈ W : u(0, ·) = 0} onto V′. Spagnolo introduced G-convergence for more general parabolic operators: PA := ∂t + A : W − → V′ , where (Au)(t) := A(t)u(t), with A(t) ∈ L(V ; V ′) such that for ϕ, ψ ∈ V t → A(t)ϕ, ψ is measurable λ0ϕ2

V A(t)ϕ, ϕ Λ0ϕ2 V

|A(t)ϕ, ψ| M

  • A(t)ϕ, ϕ
  • A(t)ψ, ψ ,

where λ0, Λ0 and M are some positive constants.

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Parabolic operators

Parabolic operator P ∈ L(W; V′) Pu := ∂tu − div (A∇u) is an isomorphisms of W0 := {u ∈ W : u(0, ·) = 0} onto V′. Spagnolo introduced G-convergence for more general parabolic operators: PA := ∂t + A : W − → V′ , where (Au)(t) := A(t)u(t), with A(t) ∈ L(V ; V ′) such that for ϕ, ψ ∈ V t → A(t)ϕ, ψ is measurable λ0ϕ2

V A(t)ϕ, ϕ Λ0ϕ2 V

|A(t)ϕ, ψ| M

  • A(t)ϕ, ϕ
  • A(t)ψ, ψ ,

where λ0, Λ0 and M are some positive constants. The set of all such operators PA we denote by P(λ0, Λ0, M). For A(t) = −div (A(t, ·), ·) we write PA instead of PA.

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G-convergence and compactness

A sequence PAn ∈ P(λ0, Λ0, M) G-converges to PA (and we write PAn

G

− − − ⇀PA) if for any f ∈ V′ P−1

Anf −

⇀ P−1

A f

in W0 .

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G-convergence and compactness

A sequence PAn ∈ P(λ0, Λ0, M) G-converges to PA (and we write PAn

G

− − − ⇀PA) if for any f ∈ V′ P−1

Anf −

⇀ P−1

A f

in W0 . If V ֒ → H ֒ → V ′ (continuous inclusions), if they are also compact, Spagnolo proved the compactness of G-convergence: For any PAn ∈ P(λ0, Λ0, M) there is a subsequence PAn′ and a PA ∈ P(λ0, M 2Λ0,

  • Λ0/λ0M), such that PAn′

G

− − − ⇀PA.

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G-convergence and compactness

A sequence PAn ∈ P(λ0, Λ0, M) G-converges to PA (and we write PAn

G

− − − ⇀PA) if for any f ∈ V′ P−1

Anf −

⇀ P−1

A f

in W0 . If V ֒ → H ֒ → V ′ (continuous inclusions), if they are also compact, Spagnolo proved the compactness of G-convergence: For any PAn ∈ P(λ0, Λ0, M) there is a subsequence PAn′ and a PA ∈ P(λ0, M 2Λ0,

  • Λ0/λ0M), such that PAn′

G

− − − ⇀PA. If each An is of the form: An(t)u = −div (An(t, ·)∇u) , u ∈ V , the limit is of the same form, where the matrix coefficients A satisfy the same type of bounds, but with different constants. Also, in such a case,

  • n the subsequence we have the convergence

An′∇un′ − ⇀ A∇u in L2(Q; Rd) .

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H-convergence

The above motivates the following definition [DM, ˇ ZKO]: A sequence of matrix functions An ∈ M(α, β; Q) H-converges to A ∈ M(α′, β′; Q) if for any f ∈ V′ and u0 ∈ H the solutions of parabolic problems

  • ∂tun − div (An∇un) = f

un(0, ·) = u0 . satisfy un − ⇀ u in V An∇un − ⇀ A∇u in L2(Q; Rd) .

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H-convergence

The above motivates the following definition [DM, ˇ ZKO]: A sequence of matrix functions An ∈ M(α, β; Q) H-converges to A ∈ M(α′, β′; Q) if for any f ∈ V′ and u0 ∈ H the solutions of parabolic problems

  • ∂tun − div (An∇un) = f

un(0, ·) = u0 . satisfy un − ⇀ u in V An∇un − ⇀ A∇u in L2(Q; Rd) . Moreover, A ∈ M(α, β; Q).

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H-convergence

The above motivates the following definition [DM, ˇ ZKO]: A sequence of matrix functions An ∈ M(α, β; Q) H-converges to A ∈ M(α′, β′; Q) if for any f ∈ V′ and u0 ∈ H the solutions of parabolic problems

  • ∂tun − div (An∇un) = f

un(0, ·) = u0 . satisfy un − ⇀ u in V An∇un − ⇀ A∇u in L2(Q; Rd) . Moreover, A ∈ M(α, β; Q). H-convergence still has the advantage of the proper choice of bounds (the limit stays in the chosen set).

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Two remarks

In the definition of H-convergence it is enough to consider u0 = 0.

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Two remarks

In the definition of H-convergence it is enough to consider u0 = 0. The parabolic H-convergence is generated by a topology.

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Two remarks

In the definition of H-convergence it is enough to consider u0 = 0. The parabolic H-convergence is generated by a topology. X :=

  • n∈N

M( 1 n, n; Q) , for f ∈ V′, define Rf : X − → W0 and Qf : X − → L2(Q; Rd): Rf(A) := u , where u solves

  • ut − div (A∇u) = f

u(0, ·) = 0 , with the weak topology assumed on W0; and Qf(A) := A∇u, with the weak topology on L2(Q; Rd).

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Two remarks

In the definition of H-convergence it is enough to consider u0 = 0. The parabolic H-convergence is generated by a topology. X :=

  • n∈N

M( 1 n, n; Q) , for f ∈ V′, define Rf : X − → W0 and Qf : X − → L2(Q; Rd): Rf(A) := u , where u solves

  • ut − div (A∇u) = f

u(0, ·) = 0 , with the weak topology assumed on W0; and Qf(A) := A∇u, with the weak topology on L2(Q; Rd). On X, define the weakest topology such that Rf and Qf are continuous. It is not metrisable. However, the relative topology on M(α, β; Q) is metrisable.

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Analytical dependence

Theorem. Let P ⊆ R be an open set and the sequence An : Q × P → Md×d(R) such that An(·, p) ∈ M(α, β; Q) for p ∈ P. Moreover, suppose that p → An(·, p) is analytic mapping from P to L∞(Q; Md×d(R)). Then, there exists a subsequence (Ank) such that for every p ∈ P Ank(·, p)

H

− − ⇀ A(·, p) in M(α, β; Q) , and p → A(·, p) is analytic mapping from P to L∞(Q; Md×d(R)).

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Known results for elliptic equations Homogenisation of parabolic equations H-convergence and G-convergence H-convergent sequence depending on a parameter A parabolic variant of H-measures What are H-measures and variants ? A brief comparative description Small-amplitude homogenisation Setting of the problem (parabolic case) Variant H-measures in small-amplitude homogenisation

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What are H-measures ?

Objects introduced twenty years ago, by Luc Tartar and (independently) Patrick G´ erard.

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What are H-measures ?

Objects introduced twenty years ago, by Luc Tartar and (independently) Patrick G´ erard. To a L2 weakly convergent sequence a measure defined on the product of physical space (variable x) and the Fourier space (variable ξ — provides a direction) is associated. H-measures generalise defect measures: they detect the difference between strong and weak convergence.

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Why a parabolic variant?

Parabolic equations: well studied, good theory known explicit solutions 1 : 2 is a natural ratio to start with

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Why a parabolic variant?

Parabolic equations: well studied, good theory known explicit solutions 1 : 2 is a natural ratio to start with Possible applications to problems involving different scalings, and easy generalisations to other ratios.

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Why a parabolic variant?

Parabolic equations: well studied, good theory known explicit solutions 1 : 2 is a natural ratio to start with Possible applications to problems involving different scalings, and easy generalisations to other ratios. Terminology: classical vs. parabolic or variant H-measures. These variants were recently introduced by Martin Lazar and N.A.

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Why a parabolic variant?

Parabolic equations: well studied, good theory known explicit solutions 1 : 2 is a natural ratio to start with Possible applications to problems involving different scalings, and easy generalisations to other ratios. Terminology: classical vs. parabolic or variant H-measures. These variants were recently introduced by Martin Lazar and N.A. Notation. For simplicity (2D): (t, x) = (x0, x1) = x and (τ, ξ) = (ξ0, ξ1) = ξ

  • r F:

the Fourier transform with e−2πi(tτ+xξ), F: the inverse

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Rough geometric idea

Take a sequence un − ⇀ 0 in L2(R2), and integrate |ˆ un|2 along rays and project to S1 τ ξ 1 T T0

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Rough geometric idea

Take a sequence un − ⇀ 0 in L2(R2), and integrate |ˆ un|2 along rays and project to S1 parabolas and project to P 1 τ ξ 1 T T0 τ ξ T T0

1 2π

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Rough geometric idea

Take a sequence un − ⇀ 0 in L2(R2), and integrate |ˆ un|2 along rays and project to S1 parabolas and project to P 1 τ ξ 1 T T0 τ ξ T T0

1 2π

In R2 we have a compact surface: S1 . . . r(τ, ξ) :=

  • τ 2 + ξ2 = 1
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Rough geometric idea

Take a sequence un − ⇀ 0 in L2(R2), and integrate |ˆ un|2 along rays and project to S1 parabolas and project to P 1 τ ξ 1 T T0 τ ξ T T0

1 2π

In R2 we have a compact surface: S1 . . . r(τ, ξ) :=

  • τ 2 + ξ2 = 1

P 1 . . . ρ(τ, ξ) :=

4

  • (2πτ)2 + (2πξ)4 = 1
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Rough geometric idea

Take a sequence un − ⇀ 0 in L2(R2), and integrate |ˆ un|2 along rays and project to S1 parabolas and project to P 1 τ ξ 1 T T0 τ ξ T T0

1 2π

In R2 we have a compact surface: S1 . . . r(τ, ξ) :=

  • τ 2 + ξ2 = 1

P 1 . . . ρ(τ, ξ) :=

4

  • (2πτ)2 + (2πξ)4 = 1

and a projection of R2

∗ = R2 \ {0} to the surface:

p(τ, ξ) :=

  • τ

r(τ, ξ), ξ r(τ, ξ)

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Rough geometric idea

Take a sequence un − ⇀ 0 in L2(R2), and integrate |ˆ un|2 along rays and project to S1 parabolas and project to P 1 τ ξ 1 T T0 τ ξ T T0

1 2π

In R2 we have a compact surface: S1 . . . r(τ, ξ) :=

  • τ 2 + ξ2 = 1

P 1 . . . ρ(τ, ξ) :=

4

  • (2πτ)2 + (2πξ)4 = 1

and a projection of R2

∗ = R2 \ {0} to the surface:

p(τ, ξ) :=

  • τ

r(τ, ξ), ξ r(τ, ξ)

  • π(τ, ξ) :=
  • τ

ρ2(τ, ξ), ξ ρ(τ, ξ)

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Analytical view

Multiplication by b ∈ L∞(R2), bounded operator Mb on L2(R2): (Mbu)(x) := b(x)u(x) ,

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Analytical view

Multiplication by b ∈ L∞(R2), bounded operator Mb on L2(R2): (Mbu)(x) := b(x)u(x) , norm equal to bL∞(R2).

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Analytical view

Multiplication by b ∈ L∞(R2), bounded operator Mb on L2(R2): (Mbu)(x) := b(x)u(x) , norm equal to bL∞(R2). Fourier multiplier Pa, for a ∈ L∞(R2):

  • Pau = aˆ

u.

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Analytical view

Multiplication by b ∈ L∞(R2), bounded operator Mb on L2(R2): (Mbu)(x) := b(x)u(x) , norm equal to bL∞(R2). Fourier multiplier Pa, for a ∈ L∞(R2):

  • Pau = aˆ

u. Norm is again aL∞(R2).

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Analytical view

Multiplication by b ∈ L∞(R2), bounded operator Mb on L2(R2): (Mbu)(x) := b(x)u(x) , norm equal to bL∞(R2). Fourier multiplier Pa, for a ∈ L∞(R2):

  • Pau = aˆ

u. Norm is again aL∞(R2). Tricky part: a is given only on S1 or P 1. We extend it by projections, p or π:

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Analytical view

Multiplication by b ∈ L∞(R2), bounded operator Mb on L2(R2): (Mbu)(x) := b(x)u(x) , norm equal to bL∞(R2). Fourier multiplier Pa, for a ∈ L∞(R2):

  • Pau = aˆ

u. Norm is again aL∞(R2). Tricky part: a is given only on S1 or P 1. We extend it by projections, p or π: if α is a function defined on the compact surface, we take a := α ◦ p or a := α ◦ π, i.e. a(τ, ξ) := α

  • τ

r(τ, ξ), ξ r(τ, ξ)

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Analytical view

Multiplication by b ∈ L∞(R2), bounded operator Mb on L2(R2): (Mbu)(x) := b(x)u(x) , norm equal to bL∞(R2). Fourier multiplier Pa, for a ∈ L∞(R2):

  • Pau = aˆ

u. Norm is again aL∞(R2). Tricky part: a is given only on S1 or P 1. We extend it by projections, p or π: if α is a function defined on the compact surface, we take a := α ◦ p or a := α ◦ π, i.e. a(τ, ξ) := α

  • τ

r(τ, ξ), ξ r(τ, ξ)

  • a(τ, ξ) := α
  • τ

ρ2(τ, ξ), ξ ρ(τ, ξ)

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Analytical view

Multiplication by b ∈ L∞(R2), bounded operator Mb on L2(R2): (Mbu)(x) := b(x)u(x) , norm equal to bL∞(R2). Fourier multiplier Pa, for a ∈ L∞(R2):

  • Pau = aˆ

u. Norm is again aL∞(R2). Tricky part: a is given only on S1 or P 1. We extend it by projections, p or π: if α is a function defined on the compact surface, we take a := α ◦ p or a := α ◦ π, i.e. a(τ, ξ) := α

  • τ

r(τ, ξ), ξ r(τ, ξ)

  • a(τ, ξ) := α
  • τ

ρ2(τ, ξ), ξ ρ(τ, ξ)

  • Now we are ready to state the main theorem.
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Existence of H-measures

Theorem. If un − ⇀ 0 in L2(Rd; Rr), then there is a subsequence and a complex matrix Radon measure µ on Rd × Sd−1 such that for any ϕ1, ϕ2 ∈ C0(Rd) and any ψ ∈ C(Sd−1) we have lim

n′

  • Rd

ϕ1un′ ⊗ ϕ2un′(ψ ◦ p ) dξ = µ, (ϕ1 ¯ ϕ2) ⊠ ψ =

  • Rd×Sd−1

ϕ1(x) ¯ ϕ2(x)ψ(ξ) dµ(x, ξ)

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Existence of H-measures

Theorem. If un − ⇀ 0 in L2(Rd; Rr), then there is a subsequence and a complex matrix Radon measure µ on Rd × P d−1 such that for any ϕ1, ϕ2 ∈ C0(Rd) and any ψ ∈ C(P d−1) we have lim

n′

  • Rd

ϕ1un′ ⊗ ϕ2un′(ψ ◦ π) dξ = µ, (ϕ1 ¯ ϕ2) ⊠ ψ =

  • Rd×P d−1

ϕ1(x) ¯ ϕ2(x)ψ(ξ) dµ(x, ξ) .

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Existence of H-measures

Theorem. If un − ⇀ 0 in L2(Rd; Rr), then there is a subsequence and a complex matrix Radon measure µ on Rd × Sd−1 Rd × P d−1 such that for any ϕ1, ϕ2 ∈ C0(Rd) and any ψ ∈ C(Sd−1) ψ ∈ C(P d−1) we have lim

n′

  • Rd

ϕ1un′ ⊗ ϕ2un′(ψ ◦ π) dξ = µ, (ϕ1 ¯ ϕ2) ⊠ ψ =

  • Rd×Sd−1

ϕ1(x) ¯ ϕ2(x)ψ(ξ) dµ(x, ξ) =

  • Rd×P d−1

ϕ1(x) ¯ ϕ2(x)ψ(ξ) dµ(x, ξ) .

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SLIDE 59

Immediate properties

◮ µ = µ∗

(hermitian)

◮ µ 0

(positivity)

◮ un ⊗ un −

⇀ ν, then ν, ϕ = µ, ϕ ⊠ 1

◮ If un′ · ei have their supports in closed sets Ki ⊆ Rd, then the

support of µei · ej is contained in (Ki ∩ Kj) × P d−1.

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SLIDE 60

Immediate properties

◮ µ = µ∗

(hermitian)

◮ µ 0

(positivity)

◮ un ⊗ un −

⇀ ν, then ν, ϕ = µ, ϕ ⊠ 1

◮ If un′ · ei have their supports in closed sets Ki ⊆ Rd, then the

support of µei · ej is contained in (Ki ∩ Kj) × P d−1. Martin is going to say more about that tomorrow, and on the differences in the proofs for different variants.

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SLIDE 61

Known results for elliptic equations Homogenisation of parabolic equations H-convergence and G-convergence H-convergent sequence depending on a parameter A parabolic variant of H-measures What are H-measures and variants ? A brief comparative description Small-amplitude homogenisation Setting of the problem (parabolic case) Variant H-measures in small-amplitude homogenisation

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SLIDE 62

Setting of the problem

A sequence of parabolic problems (∗)

  • ∂tun − div (An∇un) = f

un(0, ·) = u0 . where An is a perturbation of A0 ∈ C(Q; Md×d), which is bounded from below;

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SLIDE 63

Setting of the problem

A sequence of parabolic problems (∗)

  • ∂tun − div (An∇un) = f

un(0, ·) = u0 . where An is a perturbation of A0 ∈ C(Q; Md×d), which is bounded from below; for small γ function An is analytic in γ: An

γ(t, x) = A0 + γBn(t, x) + γ2Cn(t, x) + o(γ2) ,

where Bn, Cn

− − ⇀ 0 in L∞(Q; Md×d)).

slide-64
SLIDE 64

Setting of the problem

A sequence of parabolic problems (∗)

  • ∂tun − div (An∇un) = f

un(0, ·) = u0 . where An is a perturbation of A0 ∈ C(Q; Md×d), which is bounded from below; for small γ function An is analytic in γ: An

γ(t, x) = A0 + γBn(t, x) + γ2Cn(t, x) + o(γ2) ,

where Bn, Cn

− − ⇀ 0 in L∞(Q; Md×d)). Then (after passing to a subsequence if needed) An

γ H

− − − ⇀A∞

γ = A0 + γB0 + γ2C0 + o(γ2) ;

the limit being measurable in t, x, and analytic in γ.

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SLIDE 65

No first-order term on the limit

Theorem. The effective conductivity matrix A∞

γ admits the expansion

A∞

γ (t, x) = A0(t, x) + γ2C0(t, x) + o(γ2) .

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SLIDE 66

No first-order term on the limit

Theorem. The effective conductivity matrix A∞

γ admits the expansion

A∞

γ (t, x) = A0(t, x) + γ2C0(t, x) + o(γ2) .

Indeed, take u ∈ L2([0, T]; H1

0(Ω)) ∩ H1(0, T; H−1(Ω)), and define

fγ := ∂tu − div (A∞

γ ∇u), and u0 := u(0, ·) ∈ L2(Ω).

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SLIDE 67

No first-order term on the limit

Theorem. The effective conductivity matrix A∞

γ admits the expansion

A∞

γ (t, x) = A0(t, x) + γ2C0(t, x) + o(γ2) .

Indeed, take u ∈ L2([0, T]; H1

0(Ω)) ∩ H1(0, T; H−1(Ω)), and define

fγ := ∂tu − div (A∞

γ ∇u), and u0 := u(0, ·) ∈ L2(Ω).

Next, solve (∗) with An

γ, fγ and u0, the solution un γ.

Of course, fγ and un

γ analytically depend on γ.

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SLIDE 68

No first-order term on the limit

Theorem. The effective conductivity matrix A∞

γ admits the expansion

A∞

γ (t, x) = A0(t, x) + γ2C0(t, x) + o(γ2) .

Indeed, take u ∈ L2([0, T]; H1

0(Ω)) ∩ H1(0, T; H−1(Ω)), and define

fγ := ∂tu − div (A∞

γ ∇u), and u0 := u(0, ·) ∈ L2(Ω).

Next, solve (∗) with An

γ, fγ and u0, the solution un γ.

Of course, fγ and un

γ analytically depend on γ.

Because of H-convergence, we have the weak convergences in L2(Q): (†) En

γ := ∇un γ −

⇀ ∇u Dn

γ := An γEn γ −

⇀ A∞

γ ∇u .

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SLIDE 69

No first-order term on the limit

Theorem. The effective conductivity matrix A∞

γ admits the expansion

A∞

γ (t, x) = A0(t, x) + γ2C0(t, x) + o(γ2) .

Indeed, take u ∈ L2([0, T]; H1

0(Ω)) ∩ H1(0, T; H−1(Ω)), and define

fγ := ∂tu − div (A∞

γ ∇u), and u0 := u(0, ·) ∈ L2(Ω).

Next, solve (∗) with An

γ, fγ and u0, the solution un γ.

Of course, fγ and un

γ analytically depend on γ.

Because of H-convergence, we have the weak convergences in L2(Q): (†) En

γ := ∇un γ −

⇀ ∇u Dn

γ := An γEn γ −

⇀ A∞

γ ∇u .

Expansions in Taylor serieses (similarly for fγ and un

γ):

En

γ = En 0 + γEn 1 + γ2En 2 + o(γ2)

Dn

γ = Dn 0 + γDn 1 + γ2Dn 2 + o(γ2) .

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SLIDE 70

No first-order term on the limit (cont.)

Inserting (†) and equating the terms with equal powers of γ: En

0 = ∇u ,

Dn

0 = A0∇u

Dn

1 = A0En 1 + Bn∇u −

⇀ 0 in L2(Q) .

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SLIDE 71

No first-order term on the limit (cont.)

Inserting (†) and equating the terms with equal powers of γ: En

0 = ∇u ,

Dn

0 = A0∇u

Dn

1 = A0En 1 + Bn∇u −

⇀ 0 in L2(Q) . Also, Dn

1 converges to B0∇u (the term in expansion with γ1)

Dn

γ −

⇀ A∞

γ ∇u = A0∇u + γB0∇u + γ2C0∇u + o(γ2) .

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SLIDE 72

No first-order term on the limit (cont.)

Inserting (†) and equating the terms with equal powers of γ: En

0 = ∇u ,

Dn

0 = A0∇u

Dn

1 = A0En 1 + Bn∇u −

⇀ 0 in L2(Q) . Also, Dn

1 converges to B0∇u (the term in expansion with γ1)

Dn

γ −

⇀ A∞

γ ∇u = A0∇u + γB0∇u + γ2C0∇u + o(γ2) .

Thus B0∇u = 0, and as u ∈ L2([0, T]; H1

0(Ω)) ∩ H1(0, T; H−1(Ω)) was

arbitrary, we conclude that B0 = 0.

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SLIDE 73

No first-order term on the limit (cont.)

Inserting (†) and equating the terms with equal powers of γ: En

0 = ∇u ,

Dn

0 = A0∇u

Dn

1 = A0En 1 + Bn∇u −

⇀ 0 in L2(Q) . Also, Dn

1 converges to B0∇u (the term in expansion with γ1)

Dn

γ −

⇀ A∞

γ ∇u = A0∇u + γB0∇u + γ2C0∇u + o(γ2) .

Thus B0∇u = 0, and as u ∈ L2([0, T]; H1

0(Ω)) ∩ H1(0, T; H−1(Ω)) was

arbitrary, we conclude that B0 = 0. For the quadratic term we have: Dn

2 = A0En 2 + BnEn 1 + Cn∇u −

⇀ lim BnEn

1 = C0∇u ,

and this is the limit we still have to compute.

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SLIDE 74

Expression for the quadratic correction

For the quadratic term we have: Dn

2 = A0En 2 + BnEn 1 + Cn∇u −

⇀ lim BnEn

1 = C0∇u ,

and this is the limit we shall express using only the parabolic variant H-measure µ.

slide-75
SLIDE 75

Expression for the quadratic correction

For the quadratic term we have: Dn

2 = A0En 2 + BnEn 1 + Cn∇u −

⇀ lim BnEn

1 = C0∇u ,

and this is the limit we shall express using only the parabolic variant H-measure µ. un

1 satisfies the equation (∗) with coefficients A0, div (Bn∇u) on the

right hand side and the homogeneous innitial condition.

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SLIDE 76

Expression for the quadratic correction

For the quadratic term we have: Dn

2 = A0En 2 + BnEn 1 + Cn∇u −

⇀ lim BnEn

1 = C0∇u ,

and this is the limit we shall express using only the parabolic variant H-measure µ. un

1 satisfies the equation (∗) with coefficients A0, div (Bn∇u) on the

right hand side and the homogeneous innitial condition. By applying the Fourier transform (as if the equation were valid in the whole space), and multiplying by 2πiξ, for (τ, ξ) = (0, 0) we get

  • ∇un

1(τ, ξ) = −(2π)2 (ξ ⊗ ξ)

(Bn∇u)(τ, ξ) 2πiτ + (2π)2A0ξ · ξ .

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SLIDE 77

Expression for the quadratic correction (cont.)

As (ξ ⊗ ξ)/(2πiτ + (2π)2A0ξ · ξ) is constant along branches of paraboloids τ = cξ2, c ∈ R, we have (ϕ ∈ C∞

c (Q))

lim

n

  • ϕBn | ∇un

1

  • = − lim

n

  • ϕBn | (2π)2 (ξ ⊗ ξ)

(Bn∇u) 2πiτ + (2π)2A0ξ · ξ

  • = −
  • µ, ϕ

(2π)2ξ ⊗ ξ ⊗ ∇u −2πiτ + (2π)2A0ξ · ξ

  • ,

where µ is the parabolic variant H-measure associated to (Bn), a measure with four indices (the first two of them not being contracted above).

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SLIDE 78

Expression for the quadratic correction (cont.)

By varying function u ∈ C1(Q) (e.g. choosing ∇u constant on 0, T × ω, where ω ⊆ Ω) we get

  • 0,T ×ω

Cij

0 (t, x)φ(t, x)dtdx = −

  • µij, φ

(2π)2ξ ⊗ ξ −2πiτ + (2π)2A0ξ · ξ

  • ,

where µij denotes the matrix measure with components

  • µij

kl = µiklj.

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SLIDE 79

Expression for the quadratic correction (cont.)

By varying function u ∈ C1(Q) (e.g. choosing ∇u constant on 0, T × ω, where ω ⊆ Ω) we get

  • 0,T ×ω

Cij

0 (t, x)φ(t, x)dtdx = −

  • µij, φ

(2π)2ξ ⊗ ξ −2πiτ + (2π)2A0ξ · ξ

  • ,

where µij denotes the matrix measure with components

  • µij

kl = µiklj.

Remark. For the periodic example of small-amplitude homogenisation, we have got the same results by applying the variant H-measures, as with direct calculations.