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Scattering by fractal screens: functional analysis and computation - - PowerPoint PPT Presentation

20 J UNE 2018, B OLOGNA Scattering by fractal screens: functional analysis and computation Andrea Moiola D IPARTIMENTO DI M ATEMATICA , U NIVERSIT DI P AVIA Joint work with S.N. Chandler-Wilde (Reading), D.P . Hewett (UCL) and A. Caetano


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20 JUNE 2018, BOLOGNA

Scattering by fractal screens: functional analysis and computation

Andrea Moiola

DIPARTIMENTO DI MATEMATICA, UNIVERSITÀ DI PAVIA Joint work with S.N. Chandler-Wilde (Reading), D.P . Hewett (UCL) and A. Caetano (Aveiro)

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Acoustic wave scattering by a planar screen

Acoustic waves in free space governed by wave eq. ∂2U

∂t2 − ∆U = 0.

In time-harmonic regime, assume U(x, t)=ℜ{u(x)e−ikt} and look for u. u satisfies Helmholtz equation ∆u + k2u = 0, with wavenumber k > 0. Scattering: incoming wave ui hits obstacle Γ and generates field u. Γ bounded open subset of {x ∈ Rn+1 : xn+1 = 0} ∼ = Rn, n = 1, 2 u = −ui or ∂u/∂n = −∂ui/∂n Γ x1 x2 x3 D := Rn+1 \ { Γ × {0}} ∆u + k2u = 0 ui(x) = eikd·x u satisfies Sommerfeld radiation condition (SRC) at infinity (i.e. ∂ru − iku = o

  • r−(n−1)/2

uniformly as r = |x| → ∞).

2

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SLIDE 3

Acoustic wave scattering by a planar screen

Acoustic waves in free space governed by wave eq. ∂2U

∂t2 − ∆U = 0.

In time-harmonic regime, assume U(x, t)=ℜ{u(x)e−ikt} and look for u. u satisfies Helmholtz equation ∆u + k2u = 0, with wavenumber k > 0. Scattering: incoming wave ui hits obstacle Γ and generates field u. Γ bounded open subset of {x ∈ Rn+1 : xn+1 = 0} ∼ = Rn, n = 1, 2 u = −ui or ∂u/∂n = −∂ui/∂n Γ x1 x2 x3 D := Rn+1 \ { Γ × {0}} ∆u + k2u = 0 ui(x) = eikd·x u satisfies Sommerfeld radiation condition (SRC) at infinity (i.e. ∂ru − iku = o

  • r−(n−1)/2

uniformly as r = |x| → ∞).

2

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SLIDE 4

Acoustic wave scattering by a planar screen

Acoustic waves in free space governed by wave eq. ∂2U

∂t2 − ∆U = 0.

In time-harmonic regime, assume U(x, t)=ℜ{u(x)e−ikt} and look for u. u satisfies Helmholtz equation ∆u + k2u = 0, with wavenumber k > 0. Scattering: incoming wave ui hits obstacle Γ and generates field u. Γ bounded open subset of {x ∈ Rn+1 : xn+1 = 0} ∼ = Rn, n = 1, 2 u = −ui or ∂u/∂n = −∂ui/∂n Γ x1 x2 x3 D := Rn+1 \ { Γ × {0}} ∆u + k2u = 0 ui(x) = eikd·x u satisfies Sommerfeld radiation condition (SRC) at infinity (i.e. ∂ru − iku = o

  • r−(n−1)/2

uniformly as r = |x| → ∞).

2

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SLIDE 5

Acoustic wave scattering by a planar screen

Acoustic waves in free space governed by wave eq. ∂2U

∂t2 − ∆U = 0.

In time-harmonic regime, assume U(x, t)=ℜ{u(x)e−ikt} and look for u. u satisfies Helmholtz equation ∆u + k2u = 0, with wavenumber k > 0. Scattering: incoming wave ui hits obstacle Γ and generates field u. Γ bounded open subset of {x ∈ Rn+1 : xn+1 = 0} ∼ = Rn, n = 1, 2 u = −ui or ∂u/∂n = −∂ui/∂n Γ x1 x2 x3 D := Rn+1 \ { Γ × {0}} ∆u + k2u = 0 ui(x) = eikd·x u satisfies Sommerfeld radiation condition (SRC) at infinity (i.e. ∂ru − iku = o

  • r−(n−1)/2

uniformly as r = |x| → ∞).

2

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Scattering by Lipschitz and rough screens

Incident field is plane wave ui(x) = eikd·x, |d| = 1. utot = u + ui Classical problem when Γ is Lipschitz (Buffa, Christiansen, Costabel, Ha-Duong,

Hiptmair, Holm, Jerez-Hanckes, Maischak, Stephan, Wendland, Urzúa-Torres, . . . )

What happens for arbitrary (rougher than Lipschitz, e.g. fractal) Γ?

3

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Scattering by Lipschitz and rough screens

Incident field is plane wave ui(x) = eikd·x, |d| = 1. utot = u + ui Classical problem when Γ is Lipschitz (Buffa, Christiansen, Costabel, Ha-Duong,

Hiptmair, Holm, Jerez-Hanckes, Maischak, Stephan, Wendland, Urzúa-Torres, . . . )

What happens for arbitrary (rougher than Lipschitz, e.g. fractal) Γ?

3

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Scattering by Lipschitz and rough screens

Incident field is plane wave ui(x) = eikd·x, |d| = 1. utot = u + ui Classical problem when Γ is Lipschitz (Buffa, Christiansen, Costabel, Ha-Duong,

Hiptmair, Holm, Jerez-Hanckes, Maischak, Stephan, Wendland, Urzúa-Torres, . . . )

What happens for arbitrary (rougher than Lipschitz, e.g. fractal) Γ?

3

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Fractal antennas

(Figures from http://www.antenna-theory.com/antennas/fractal.php)

Fractal antennas are a popular topic in engineering: Wideband/multiband, compact, cheap, metamaterials, cloaking. . . Not yet analysed by mathematicians.

4

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Other applications

Scattering by ice crystals in atmospheric physics e.g. C. Westbrook (Reading) Fractal apertures in laser optics e.g. J. Christian (Salford)

5

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Scattering by fractal screens

· · · Lots of interesting mathematical questions: ◮ How to formulate well-posed BVPs? (What is the right function space setting? How to impose BCs?) ◮ How do prefractal solutions converge to fractal solutions? ◮ How can we accurately compute the scattered field? ◮ If the fractal has empty interior, does it scatter waves at all? ◮ How does the fractal (Hausdorff) dimension affect things?

6

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Can you hear a Cantor dust?

For 0 < α < 1/2 let Cα ⊂ [0, 1] denote the standard Cantor set: 1 α Let C2

α := Cα × Cα ⊂ R2 denote the associated “Cantor dust”:

C2

α is uncountable, closed, with int(C2 α) = ∅; in fact m(C2 α) = 0.

Question: Is the scattered field zero or non-zero for the 3D Dirichlet scattering problem with Γ = C2

α?

7

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Can you hear a Cantor dust?

For 0 < α < 1/2 let Cα ⊂ [0, 1] denote the standard Cantor set: 1 α Let C2

α := Cα × Cα ⊂ R2 denote the associated “Cantor dust”:

C2

α is uncountable, closed, with int(C2 α) = ∅; in fact m(C2 α) = 0.

Question: Is the scattered field zero or non-zero for the 3D Dirichlet scattering problem with Γ = C2

α?

7

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Can you hear a Cantor dust?

For 0 < α < 1/2 let Cα ⊂ [0, 1] denote the standard Cantor set: 1 α Let C2

α := Cα × Cα ⊂ R2 denote the associated “Cantor dust”:

C2

α is uncountable, closed, with int(C2 α) = ∅; in fact m(C2 α) = 0.

Question: Is the scattered field zero or non-zero for the 3D Dirichlet scattering problem with Γ = C2

α?

7

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Bibliography

I will discuss the answers we tried to give here: (1) SNCW, DPH, Wavenumber-explicit continuity and coercivity estimates in acoustic scattering by planar screens, IEOT, 2015. (2) DPH, AM, On the maximal Sobolev regularity of distributions supported by subsets of Euclidean space,

  • An. and Appl., 2017.

(3) SNCW, DPH, AM, Sobolev spaces on non-Lipschitz subsets of Rn with application to BIEs on fractal screens, IEOT, 2017. (4) SNCW, DPH, Well-posed PDE and integral equation formulations for scattering by fractal screens, SIAM J. Math. Anal., 2018. (5) SNCW, DPH, AM, Scattering by fractal screens and apertures, in preparation. . . . but many questions are still open!

8

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Bibliography

I will discuss the answers we tried to give here: (1) SNCW, DPH, Wavenumber-explicit continuity and coercivity estimates in acoustic scattering by planar screens, IEOT, 2015. ⊲ Scattering by open screens (2) DPH, AM, On the maximal Sobolev regularity of distributions supported by subsets of Euclidean space,

  • An. and Appl., 2017.

(3) SNCW, DPH, AM, Sobolev spaces on non-Lipschitz subsets of Rn with application to BIEs on fractal screens, IEOT, 2017. ⊲ Sobolev spaces (4) SNCW, DPH, Well-posed PDE and integral equation formulations for scattering by fractal screens, SIAM J. Math. Anal., 2018. ⊲ Scattering by general screens (5) SNCW, DPH, AM, Scattering by fractal screens and apertures, in preparation. ⊲ BEM, convergence . . . but many questions are still open!

8

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Part I BVPs & BIEs

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Boundary integral equations (BIEs)

BIEs provide a natural analytical and computational framework. Γ u = −ui or ∂u/∂n = −∂ui/∂n x1 x2 x3 (∆ + k2)u = 0, SRC ◮ Seek BVP solutions in W 1

loc(Rn+1 \ Γ)

◮ Represent solutions in terms of jumps of boundary traces on Γ ◮ These jumps live in some (Γ-dependent) subspaces of H±1/2(Rn) ◮ The jumps satisfy certain boundary integral equations ◮ The associated boundary integral operators are coercive, thus invertible, between appropriate spaces

(Ha-Duong, Chandler-Wilde/Hewett)

9

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Boundary integral equations (BIEs)

BIEs provide a natural analytical and computational framework. Γ u = −ui or ∂u/∂n = −∂ui/∂n x1 x2 x3 (∆ + k2)u = 0, SRC ◮ Seek BVP solutions in W 1

loc(Rn+1 \ Γ)

◮ Represent solutions in terms of jumps of boundary traces on Γ ◮ These jumps live in some (Γ-dependent) subspaces of H±1/2(Rn) ◮ The jumps satisfy certain boundary integral equations ◮ The associated boundary integral operators are coercive, thus invertible, between appropriate spaces

(Ha-Duong, Chandler-Wilde/Hewett)

9

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Boundary integral equations (BIEs)

BIEs provide a natural analytical and computational framework. Γ u = −ui or ∂u/∂n = −∂ui/∂n x1 x2 x3 (∆ + k2)u = 0, SRC ◮ Seek BVP solutions in W 1

loc(Rn+1 \ Γ)

◮ Represent solutions in terms of jumps of boundary traces on Γ ◮ These jumps live in some (Γ-dependent) subspaces of H±1/2(Rn) ◮ The jumps satisfy certain boundary integral equations ◮ The associated boundary integral operators are coercive, thus invertible, between appropriate spaces

(Ha-Duong, Chandler-Wilde/Hewett)

9

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Boundary integral equations (BIEs)

BIEs provide a natural analytical and computational framework. Γ u = −ui or ∂u/∂n = −∂ui/∂n x1 x2 x3 (∆ + k2)u = 0, SRC ◮ Seek BVP solutions in W 1

loc(Rn+1 \ Γ)

◮ Represent solutions in terms of jumps of boundary traces on Γ ◮ These jumps live in some (Γ-dependent) subspaces of H±1/2(Rn) ◮ The jumps satisfy certain boundary integral equations ◮ The associated boundary integral operators are coercive, thus invertible, between appropriate spaces

(Ha-Duong, Chandler-Wilde/Hewett)

9

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Boundary integral equations (BIEs)

BIEs provide a natural analytical and computational framework. Γ u = −ui or ∂u/∂n = −∂ui/∂n x1 x2 x3 (∆ + k2)u = 0, SRC ◮ Seek BVP solutions in W 1

loc(Rn+1 \ Γ)

◮ Represent solutions in terms of jumps of boundary traces on Γ ◮ These jumps live in some (Γ-dependent) subspaces of H±1/2(Rn) ◮ The jumps satisfy certain boundary integral equations ◮ The associated boundary integral operators are coercive, thus invertible, between appropriate spaces

(Ha-Duong, Chandler-Wilde/Hewett)

9

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Boundary integral equations (BIEs)

BIEs provide a natural analytical and computational framework. Γ u = −ui or ∂u/∂n = −∂ui/∂n x1 x2 x3 (∆ + k2)u = 0, SRC ◮ Seek BVP solutions in W 1

loc(Rn+1 \ Γ)

◮ Represent solutions in terms of jumps of boundary traces on Γ ◮ These jumps live in some (Γ-dependent) subspaces of H±1/2(Rn) ◮ The jumps satisfy certain boundary integral equations ◮ The associated boundary integral operators are coercive, thus invertible, between appropriate spaces

(Ha-Duong, Chandler-Wilde/Hewett)

9

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Sobolev spaces on Γ ⊂ Rn

BIEs require us to work in fractional (Bessel) Sobolev spaces on Γ ⊂ Rn. For s ∈ R let Hs(Rn) =

  • u ∈ S∗(Rn) : u2

Hs(Rn) :=

  • Rn(1 + |ξ|2)s|ˆ

u(ξ)|2 dξ < ∞

  • .

For Γ ⊂ Rn open and F ⊂ Rn closed define [MCLEAN] Hs(Γ) := {u|Γ : u ∈ Hs(Rn)} restriction

  • Hs(Γ) := C∞

0 (Γ) Hs(Rn)

closure Hs

F := {u ∈ Hs(Rn) : supp u ⊂ F}

support “Global” and “local” spaces:

  • Hs(Γ) ⊂ Hs

Γ

  • “0-trace”

⊂ Hs(Rn) ⊂ D∗(Rn)

− − − − − − − − − →

restriction oper.

Hs(Γ) ⊂ D∗(Γ).

10

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Sobolev spaces on Γ ⊂ Rn

BIEs require us to work in fractional (Bessel) Sobolev spaces on Γ ⊂ Rn. For s ∈ R let Hs(Rn) =

  • u ∈ S∗(Rn) : u2

Hs(Rn) :=

  • Rn(1 + |ξ|2)s|ˆ

u(ξ)|2 dξ < ∞

  • .

For Γ ⊂ Rn open and F ⊂ Rn closed define [MCLEAN] Hs(Γ) := {u|Γ : u ∈ Hs(Rn)} restriction

  • Hs(Γ) := C∞

0 (Γ) Hs(Rn)

closure Hs

F := {u ∈ Hs(Rn) : supp u ⊂ F}

support “Global” and “local” spaces:

  • Hs(Γ) ⊂ Hs

Γ

  • “0-trace”

⊂ Hs(Rn) ⊂ D∗(Rn)

− − − − − − − − − →

restriction oper.

Hs(Γ) ⊂ D∗(Γ).

10

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Sobolev spaces on Γ ⊂ Rn

BIEs require us to work in fractional (Bessel) Sobolev spaces on Γ ⊂ Rn. For s ∈ R let Hs(Rn) =

  • u ∈ S∗(Rn) : u2

Hs(Rn) :=

  • Rn(1 + |ξ|2)s|ˆ

u(ξ)|2 dξ < ∞

  • .

For Γ ⊂ Rn open and F ⊂ Rn closed define [MCLEAN] Hs(Γ) := {u|Γ : u ∈ Hs(Rn)} restriction

  • Hs(Γ) := C∞

0 (Γ) Hs(Rn)

closure Hs

F := {u ∈ Hs(Rn) : supp u ⊂ F}

support “Global” and “local” spaces:

  • Hs(Γ) ⊂ Hs

Γ

  • “0-trace”

⊂ Hs(Rn) ⊂ D∗(Rn)

− − − − − − − − − →

restriction oper.

Hs(Γ) ⊂ D∗(Γ).

10

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Properties of Sobolev spaces on Γ ⊂ Rn

When Γ is Lipschitz it holds that ◮ Hs(Γ) = (H−s(Γ))∗ with equal norms ◮ s ∈ N ⇒ u2

Hs(Ω) ∼ |α|≤s

  • Ω |∂αu|2

◮ Hs(Γ) = Hs

Γ

(∼ = Hs

00(Γ), s ≥ 0)

◮ H±1/2

∂Γ

= {0} ◮ {Hs(Γ)}s∈R and { Hs(Γ)}s∈R are interpolation scales. For general non-Lipschitz Γ ◮ ◮ × ◮ × ◮ × ◮ × This has implications for the scattering problem! There exist many works on Sobolev (Besov,. . . ) spaces on rough sets; most use intrinsic definitions on (e.g.) d-sets. Analogous to W s(Γ), based on Lp(Γ, Hd). Related to spaces in Rn by traces. See: Jonsson–Wallin, Strichartz. Our spaces are different, more suited for integral equations and BEM.

11

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Properties of Sobolev spaces on Γ ⊂ Rn

When Γ is Lipschitz it holds that ◮ Hs(Γ) = (H−s(Γ))∗ with equal norms ◮ s ∈ N ⇒ u2

Hs(Ω) ∼ |α|≤s

  • Ω |∂αu|2

◮ Hs(Γ) = Hs

Γ

(∼ = Hs

00(Γ), s ≥ 0)

◮ H±1/2

∂Γ

= {0} ◮ {Hs(Γ)}s∈R and { Hs(Γ)}s∈R are interpolation scales. For general non-Lipschitz Γ ◮ ◮ × ◮ × ◮ × ◮ × This has implications for the scattering problem! There exist many works on Sobolev (Besov,. . . ) spaces on rough sets; most use intrinsic definitions on (e.g.) d-sets. Analogous to W s(Γ), based on Lp(Γ, Hd). Related to spaces in Rn by traces. See: Jonsson–Wallin, Strichartz. Our spaces are different, more suited for integral equations and BEM.

11

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Properties of Sobolev spaces on Γ ⊂ Rn

When Γ is Lipschitz it holds that ◮ Hs(Γ) = (H−s(Γ))∗ with equal norms ◮ s ∈ N ⇒ u2

Hs(Ω) ∼ |α|≤s

  • Ω |∂αu|2

◮ Hs(Γ) = Hs

Γ

(∼ = Hs

00(Γ), s ≥ 0)

◮ H±1/2

∂Γ

= {0} ◮ {Hs(Γ)}s∈R and { Hs(Γ)}s∈R are interpolation scales. For general non-Lipschitz Γ ◮ ◮ × ◮ × ◮ × ◮ × This has implications for the scattering problem! There exist many works on Sobolev (Besov,. . . ) spaces on rough sets; most use intrinsic definitions on (e.g.) d-sets. Analogous to W s(Γ), based on Lp(Γ, Hd). Related to spaces in Rn by traces. See: Jonsson–Wallin, Strichartz. Our spaces are different, more suited for integral equations and BEM.

11

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Dirichlet BVP (Lipschitz open Γ ⊂ Rn)

Problem D

Given gD ∈ H1/2(Γ) (e.g. gD =− ui|Γ), find u ∈ C2 (D)∩W 1

loc(D) such that

(∆ + k2)u = 0 in D = Rn+1 \ Γ, u = gD

  • n Γ,

and u satisfies the Sommerfeld radiation condition. Γ ⊂ Rn D ⊂ Rn+1

Theorem (cf. Stephan and Wendland ’84, Stephan ’87)

If Γ is Lipschitz then D has a unique solution for all gD ∈ H1/2(Γ). BIE: S [∂nu] = −gD representation: u = −S [∂nu]

single-layer potential (S)

  • perator (S):

S : H−1/2(Γ)→C2(D) ∩ W 1

loc(D)

Sφ(x) :=

  • Γ

Φ(x, y)φ(y) ds(y), x ∈ D S : H−1/2(Γ)→H1/2(Γ) Sφ(x) := γ±Sφ|Γ(x) x ∈ Γ S invertible, Φ(x, y) := eik|x−y|/4π|x − y| (in 3D)

12

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Dirichlet BVP (Lipschitz open Γ ⊂ Rn)

Problem D

Given gD ∈ H1/2(Γ) (e.g. gD =− ui|Γ), find u ∈ C2 (D)∩W 1

loc(D) such that

(∆ + k2)u = 0 in D = Rn+1 \ Γ, (γ±u)|Γ = gD, and u satisfies the Sommerfeld radiation condition. Γ ⊂ Rn D ⊂ Rn+1

Theorem (cf. Stephan and Wendland ’84, Stephan ’87)

If Γ is Lipschitz then D has a unique solution for all gD ∈ H1/2(Γ). BIE: S [∂nu] = −gD representation: u = −S [∂nu]

single-layer potential (S)

  • perator (S):

S : H−1/2(Γ)→C2(D) ∩ W 1

loc(D)

Sφ(x) :=

  • Γ

Φ(x, y)φ(y) ds(y), x ∈ D S : H−1/2(Γ)→H1/2(Γ) Sφ(x) := γ±Sφ|Γ(x) x ∈ Γ S invertible, Φ(x, y) := eik|x−y|/4π|x − y| (in 3D)

12

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Dirichlet BVP (Lipschitz open Γ ⊂ Rn)

Problem D

Given gD ∈ H1/2(Γ) (e.g. gD =− ui|Γ), find u ∈ C2 (D)∩W 1

loc(D) such that

(∆ + k2)u = 0 in D = Rn+1 \ Γ, (γ±u)|Γ = gD, and u satisfies the Sommerfeld radiation condition. Γ ⊂ Rn D ⊂ Rn+1

Theorem (cf. Stephan and Wendland ’84, Stephan ’87)

If Γ is Lipschitz then D has a unique solution for all gD ∈ H1/2(Γ). BIE: S [∂nu] = −gD representation: u = −S [∂nu]

single-layer potential (S)

  • perator (S):

S : H−1/2(Γ)→C2(D) ∩ W 1

loc(D)

Sφ(x) :=

  • Γ

Φ(x, y)φ(y) ds(y), x ∈ D S : H−1/2(Γ)→H1/2(Γ) Sφ(x) := γ±Sφ|Γ(x) x ∈ Γ S invertible, Φ(x, y) := eik|x−y|/4π|x − y| (in 3D)

12

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SLIDE 33

Dirichlet BVP (Lipschitz open Γ ⊂ Rn)

Problem D

Given gD ∈ H1/2(Γ) (e.g. gD =− ui|Γ), find u ∈ C2 (D)∩W 1

loc(D) such that

(∆ + k2)u = 0 in D = Rn+1 \ Γ, (γ±u)|Γ = gD, and u satisfies the Sommerfeld radiation condition. Γ ⊂ Rn D ⊂ Rn+1

Theorem (cf. Stephan and Wendland ’84, Stephan ’87)

If Γ is Lipschitz then D has a unique solution for all gD ∈ H1/2(Γ). BIE: S [∂nu] = −gD representation: u = −S [∂nu]

single-layer potential (S)

  • perator (S):

S : H−1/2(Γ)→C2(D) ∩ W 1

loc(D)

Sφ(x) :=

  • Γ

Φ(x, y)φ(y) ds(y), x ∈ D S : H−1/2(Γ)→H1/2(Γ) Sφ(x) := γ±Sφ|Γ(x) x ∈ Γ S invertible, Φ(x, y) := eik|x−y|/4π|x − y| (in 3D)

12

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SLIDE 34

Failure of BVP D for non-Lipschitz Γ

What if Γ is not Lipschitz? Still have existence, but in general have non-uniqueness: ◮ By Helmholtz eq.: [∂nu] ∈ H−1/2

Γ

and [u] ∈ H1/2

Γ

. By BCs: (γ+u)|Γ = gD = (γ−u)|Γ ⇒ [u]|Γ = 0 ⇒ [u] ∈ H1/2

∂Γ ⊂ H1/2 Γ

. If ∃0 = φ ∈ H1/2

∂Γ then Dφ satisfies homogeneous problem.

(D = double layer potential.) ◮ If H−1/2(Γ) = H−1/2

Γ

then ∃0 = φ ∈ H−1/2

Γ

\ H−1/2(Γ) with Sφ = 0 (S extended to S : H−1/2

Γ

→ H1/2(Γ), continuous but not injective) Then Sφ satisfies homogeneous problem. We need to modify D to deal with this.

13

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SLIDE 35

Failure of BVP D for non-Lipschitz Γ

What if Γ is not Lipschitz? Still have existence, but in general have non-uniqueness: ◮ By Helmholtz eq.: [∂nu] ∈ H−1/2

Γ

and [u] ∈ H1/2

Γ

. By BCs: (γ+u)|Γ = gD = (γ−u)|Γ ⇒ [u]|Γ = 0 ⇒ [u] ∈ H1/2

∂Γ ⊂ H1/2 Γ

. If ∃0 = φ ∈ H1/2

∂Γ then Dφ satisfies homogeneous problem.

(D = double layer potential.) ◮ If H−1/2(Γ) = H−1/2

Γ

then ∃0 = φ ∈ H−1/2

Γ

\ H−1/2(Γ) with Sφ = 0 (S extended to S : H−1/2

Γ

→ H1/2(Γ), continuous but not injective) Then Sφ satisfies homogeneous problem. We need to modify D to deal with this.

13

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SLIDE 36

Failure of BVP D for non-Lipschitz Γ

What if Γ is not Lipschitz? Still have existence, but in general have non-uniqueness: ◮ By Helmholtz eq.: [∂nu] ∈ H−1/2

Γ

and [u] ∈ H1/2

Γ

. By BCs: (γ+u)|Γ = gD = (γ−u)|Γ ⇒ [u]|Γ = 0 ⇒ [u] ∈ H1/2

∂Γ ⊂ H1/2 Γ

. If ∃0 = φ ∈ H1/2

∂Γ then Dφ satisfies homogeneous problem.

(D = double layer potential.) ◮ If H−1/2(Γ) = H−1/2

Γ

then ∃0 = φ ∈ H−1/2

Γ

\ H−1/2(Γ) with Sφ = 0 (S extended to S : H−1/2

Γ

→ H1/2(Γ), continuous but not injective) Then Sφ satisfies homogeneous problem. We need to modify D to deal with this.

13

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SLIDE 37

Failure of BVP D for non-Lipschitz Γ

What if Γ is not Lipschitz? Still have existence, but in general have non-uniqueness: ◮ By Helmholtz eq.: [∂nu] ∈ H−1/2

Γ

and [u] ∈ H1/2

Γ

. By BCs: (γ+u)|Γ = gD = (γ−u)|Γ ⇒ [u]|Γ = 0 ⇒ [u] ∈ H1/2

∂Γ ⊂ H1/2 Γ

. If ∃0 = φ ∈ H1/2

∂Γ then Dφ satisfies homogeneous problem.

(D = double layer potential.) ◮ If H−1/2(Γ) = H−1/2

Γ

then ∃0 = φ ∈ H−1/2

Γ

\ H−1/2(Γ) with Sφ = 0 (S extended to S : H−1/2

Γ

→ H1/2(Γ), continuous but not injective) Then Sφ satisfies homogeneous problem. We need to modify D to deal with this.

13

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SLIDE 38

Failure of BVP D for non-Lipschitz Γ

What if Γ is not Lipschitz? Still have existence, but in general have non-uniqueness: ◮ By Helmholtz eq.: [∂nu] ∈ H−1/2

Γ

and [u] ∈ H1/2

Γ

. By BCs: (γ+u)|Γ = gD = (γ−u)|Γ ⇒ [u]|Γ = 0 ⇒ [u] ∈ H1/2

∂Γ ⊂ H1/2 Γ

. If ∃0 = φ ∈ H1/2

∂Γ then Dφ satisfies homogeneous problem.

(D = double layer potential.) ◮ If H−1/2(Γ) = H−1/2

Γ

then ∃0 = φ ∈ H−1/2

Γ

\ H−1/2(Γ) with Sφ = 0 (S extended to S : H−1/2

Γ

→ H1/2(Γ), continuous but not injective) Then Sφ satisfies homogeneous problem. We need to modify D to deal with this.

13

slide-39
SLIDE 39

Failure of BVP D for non-Lipschitz Γ

What if Γ is not Lipschitz? Still have existence, but in general have non-uniqueness: ◮ By Helmholtz eq.: [∂nu] ∈ H−1/2

Γ

and [u] ∈ H1/2

Γ

. By BCs: (γ+u)|Γ = gD = (γ−u)|Γ ⇒ [u]|Γ = 0 ⇒ [u] ∈ H1/2

∂Γ ⊂ H1/2 Γ

. If ∃0 = φ ∈ H1/2

∂Γ then Dφ satisfies homogeneous problem.

(D = double layer potential.) ◮ If H−1/2(Γ) = H−1/2

Γ

then ∃0 = φ ∈ H−1/2

Γ

\ H−1/2(Γ) with Sφ = 0 (S extended to S : H−1/2

Γ

→ H1/2(Γ), continuous but not injective) Then Sφ satisfies homogeneous problem. We need to modify D to deal with this.

13

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SLIDE 40

Dirichlet BVP (arbitrary open Γ)

Problem D

Given gD ∈ H1/2(Γ) (e.g. gD =− ui|Γ), find u ∈ C2 (D)∩W 1

loc(D) such that

(∆ + k2)u = 0 in D, (γ±u)|Γ = gD, [u] = 0, (D′) ∂u ∂n

H−1/2(Γ), (D′′) and u satisfies the Sommerfeld radiation condition.

Theorem (Chandler-Wilde & Hewett 2013)

For any bounded open Γ, D has a unique solution for all gD ∈ H1/2(Γ). If H1/2

∂Γ = {0}

then D′ is superfluous. If H−1/2(Γ) = H−1/2

Γ

then D′′ is superfluous. (E.g. if Γ is C0.) Two key questions: (i) when is Hs

∂Γ = {0}? (ii) when is

Hs(Γ) = Hs

Γ?

14

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SLIDE 41

Dirichlet BVP (arbitrary open Γ)

Problem D

Given gD ∈ H1/2(Γ) (e.g. gD =− ui|Γ), find u ∈ C2 (D)∩W 1

loc(D) such that

(∆ + k2)u = 0 in D, (γ±u)|Γ = gD, [u] = 0, (D′) ∂u ∂n

H−1/2(Γ), (D′′) and u satisfies the Sommerfeld radiation condition.

Theorem (Chandler-Wilde & Hewett 2013)

For any bounded open Γ, D has a unique solution for all gD ∈ H1/2(Γ). If H1/2

∂Γ = {0}

then D′ is superfluous. If H−1/2(Γ) = H−1/2

Γ

then D′′ is superfluous. (E.g. if Γ is C0.) Two key questions: (i) when is Hs

∂Γ = {0}? (ii) when is

Hs(Γ) = Hs

Γ?

14

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SLIDE 42

Dirichlet BVP (arbitrary open Γ)

Problem D

Given gD ∈ H1/2(Γ) (e.g. gD =− ui|Γ), find u ∈ C2 (D)∩W 1

loc(D) such that

(∆ + k2)u = 0 in D, (γ±u)|Γ = gD, [u] = 0, (D′) ∂u ∂n

H−1/2(Γ), (D′′) and u satisfies the Sommerfeld radiation condition.

Theorem (Chandler-Wilde & Hewett 2013)

For any bounded open Γ, D has a unique solution for all gD ∈ H1/2(Γ). If H1/2

∂Γ = {0}

then D′ is superfluous. If H−1/2(Γ) = H−1/2

Γ

then D′′ is superfluous. (E.g. if Γ is C0.) Two key questions: (i) when is Hs

∂Γ = {0}? (ii) when is

Hs(Γ) = Hs

Γ?

14

slide-43
SLIDE 43

Dirichlet BVP (arbitrary open Γ)

Problem D

Given gD ∈ H1/2(Γ) (e.g. gD =− ui|Γ), find u ∈ C2 (D)∩W 1

loc(D) such that

(∆ + k2)u = 0 in D, (γ±u)|Γ = gD, [u] = 0, (D′) ∂u ∂n

H−1/2(Γ), (D′′) and u satisfies the Sommerfeld radiation condition.

Theorem (Chandler-Wilde & Hewett 2013)

For any bounded open Γ, D has a unique solution for all gD ∈ H1/2(Γ). If H1/2

∂Γ = {0}

then D′ is superfluous. If H−1/2(Γ) = H−1/2

Γ

then D′′ is superfluous. (E.g. if Γ is C0.) Two key questions: (i) when is Hs

∂Γ = {0}? (ii) when is

Hs(Γ) = Hs

Γ?

14

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SLIDE 44

Part II Two Sobolev space questions

slide-45
SLIDE 45

Key question #1: nullity

Given a compact set K ⊂ Rn with empty interior (e.g. K = ∂Γ), for which s ∈ R is Hs

K = {0}?

Γ ∂Γ Terminology: Hs

K = {0} ⇐

⇒ ∄ non-zero elements of Hs supported inside K. We call such a set K “s-null”. Other terminology exists: “(−s)-polar” (Maz’ya, Littman), “set of uniqueness for Hs” (Maz’ya, Adams/Hedberg).

15

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SLIDE 46

Key question #1: nullity

Given a compact set K ⊂ Rn with empty interior (e.g. K = ∂Γ), for which s ∈ R is Hs

K = {0}?

Γ ∂Γ Terminology: Hs

K = {0} ⇐

⇒ ∄ non-zero elements of Hs supported inside K. We call such a set K “s-null”. Other terminology exists: “(−s)-polar” (Maz’ya, Littman), “set of uniqueness for Hs” (Maz’ya, Adams/Hedberg).

15

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SLIDE 47

Nullity threshold

For every compact K ⊂ Rn with int(K) = ∅, ∃ sK ∈ [−n/2, n/2], called the nullity threshold of K, such that Hs

K = {0} for s > sK and Hs K = {0} fors < sK.

s −n/2 sK n/2 Hs

K = {0}

i.e. K cannot support Hs distr. Hs

K = {0}

i.e. K supports Hs distributions

Theorem (H & M 2017)

If m(K) = 0 then sK = dimH(K) − n 2 ≤ 0

Theorem (Polking 1972)

∃ compact K with int(K) = ∅ and m(K) > 0 for which Hn/2

K

= {0}, so that sK = n/2. Connection with dimH comes from standard potential theory results (Maz’ya 2011, Adams & Hedberg 1996 etc.) Nullity theory ∼complete for m(K) = 0, open problems for m(K) > 0.

16

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SLIDE 48

Nullity threshold

For every compact K ⊂ Rn with int(K) = ∅, ∃ sK ∈ [−n/2, n/2], called the nullity threshold of K, such that Hs

K = {0} for s > sK and Hs K = {0} fors < sK.

s −n/2 sK n/2 Hs

K = {0}

i.e. K cannot support Hs distr. Hs

K = {0}

i.e. K supports Hs distributions

Theorem (H & M 2017)

If m(K) = 0 then sK = dimH(K) − n 2 ≤ 0

Theorem (Polking 1972)

∃ compact K with int(K) = ∅ and m(K) > 0 for which Hn/2

K

= {0}, so that sK = n/2. Connection with dimH comes from standard potential theory results (Maz’ya 2011, Adams & Hedberg 1996 etc.) Nullity theory ∼complete for m(K) = 0, open problems for m(K) > 0.

16

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SLIDE 49

Key question #2: identity of 0-trace spaces

Given an open set Γ ⊂ Rn, when is Hs(Γ) = Hs

Γ?

Equivalent to density of C∞

0 (Γ) in {u ∈ Hs(Rn) : supp u ⊂ Γ}.

Classical result (e.g. McLean) Let Γ ⊂ Rn be C0. Then Hs(Γ) = Hs

Γ.

1st class of sets: “regular except at a few points”, e.g. prefractal

Theorem (C-W, H & M 2017)

Let n ≥ 2, Γ ⊂ Rn open and C0 except at finite P ⊂ ∂Γ. Then Hs(Γ) = Hs

Γ for |s| ≤ 1.

◮ For n = 1 the same holds for |s| ≤ 1/2. ◮ Can take countable P ⊂ ∂Γ with finitely many limit points in every bounded subset of ∂Γ. Proof uses sequence of special cutoffs for s = 1, duality, interpolation.

17

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SLIDE 50

Key question #2: identity of 0-trace spaces

Given an open set Γ ⊂ Rn, when is Hs(Γ) = Hs

Γ?

Equivalent to density of C∞

0 (Γ) in {u ∈ Hs(Rn) : supp u ⊂ Γ}.

Classical result (e.g. McLean) Let Γ ⊂ Rn be C0. Then Hs(Γ) = Hs

Γ.

1st class of sets: “regular except at a few points”, e.g. prefractal

Theorem (C-W, H & M 2017)

Let n ≥ 2, Γ ⊂ Rn open and C0 except at finite P ⊂ ∂Γ. Then Hs(Γ) = Hs

Γ for |s| ≤ 1.

◮ For n = 1 the same holds for |s| ≤ 1/2. ◮ Can take countable P ⊂ ∂Γ with finitely many limit points in every bounded subset of ∂Γ. Proof uses sequence of special cutoffs for s = 1, duality, interpolation.

17

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SLIDE 51

Key question #2: identity of 0-trace spaces

Given an open set Γ ⊂ Rn, when is Hs(Γ) = Hs

Γ?

Equivalent to density of C∞

0 (Γ) in {u ∈ Hs(Rn) : supp u ⊂ Γ}.

Classical result (e.g. McLean) Let Γ ⊂ Rn be C0. Then Hs(Γ) = Hs

Γ.

1st class of sets: “regular except at a few points”, e.g. prefractal

Theorem (C-W, H & M 2017)

Let n ≥ 2, Γ ⊂ Rn open and C0 except at finite P ⊂ ∂Γ. Then Hs(Γ) = Hs

Γ for |s| ≤ 1.

◮ For n = 1 the same holds for |s| ≤ 1/2. ◮ Can take countable P ⊂ ∂Γ with finitely many limit points in every bounded subset of ∂Γ. Proof uses sequence of special cutoffs for s = 1, duality, interpolation.

17

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SLIDE 52

Examples of non-C0 sets with Hs(Γ) = Hs

Γ, |s| ≤ 1 E.g. union of disjoint C0 open sets, whose closures intersect only in P. Sierpinski triangle prefractals, (unbounded) checkerboard, double brick, inner and outer (double) curved cusps, spiral, Fraenkel’s “rooms and passages”.

18

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SLIDE 53

Constructing counterexamples

Consider another class of sets: “nice domain minus small holes”. E.g. when int(Γ) is smooth.

Theorem (C-W, H & M 2017)

If int(Γ) is C0 then

  • Hs(Γ) = Hs

Γ ⇐

⇒ int(Γ) \ Γ is (−s)-null.

Corollary

For every n ∈ N, there exists a bounded open set Γ ⊂ Rn such that,

  • Hs(Γ) Hs

Γ,

∀s ≥ −n/2 Proof: take a ball and remove a Polking set (not s-null for any s ≤ n/2) (Can also have

  • Hs(Γ) {u ∈ Hs : u = 0 a.e. in Γc} Hs

Γ

∀s > 0.)

19

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SLIDE 54

Constructing counterexamples

Consider another class of sets: “nice domain minus small holes”. E.g. when int(Γ) is smooth.

Theorem (C-W, H & M 2017)

If int(Γ) is C0 then

  • Hs(Γ) = Hs

Γ ⇐

⇒ int(Γ) \ Γ is (−s)-null.

Corollary

For every n ∈ N, there exists a bounded open set Γ ⊂ Rn such that,

  • Hs(Γ) Hs

Γ,

∀s ≥ −n/2 Proof: take a ball and remove a Polking set (not s-null for any s ≤ n/2) (Can also have

  • Hs(Γ) {u ∈ Hs : u = 0 a.e. in Γc} Hs

Γ

∀s > 0.)

19

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SLIDE 55

Constructing counterexamples

Consider another class of sets: “nice domain minus small holes”. E.g. when int(Γ) is smooth.

Theorem (C-W, H & M 2017)

If int(Γ) is C0 then

  • Hs(Γ) = Hs

Γ ⇐

⇒ int(Γ) \ Γ is (−s)-null.

Corollary

For every n ∈ N, there exists a bounded open set Γ ⊂ Rn such that,

  • Hs(Γ) Hs

Γ,

∀s ≥ −n/2 Proof: take a ball and remove a Polking set (not s-null for any s ≤ n/2) (Can also have

  • Hs(Γ) {u ∈ Hs : u = 0 a.e. in Γc} Hs

Γ

∀s > 0.)

19

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SLIDE 56

Part III Formulations on general screens

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SLIDE 57

Prefractal convergence

Theorem (C-W, H & M 2017)

Consider a bounded sequence of nested open screens Γ1 ⊂ Γ2 ⊂ · · · For each j let uj denote the solution of problem D for Γj. Let Γ :=

j∈N Γj and let u denote the solution of problem

D for Γ. Then uj → u as j → ∞ (in W 1

loc(D)).

Proof:

  • Hs(Γ1) ⊂

Hs(Γ2) ⊂ · · · and

  • Hs

j∈N

Γj

  • =
  • j∈N
  • Hs(Γj).

Then write BIEs in variational form and apply Céa’s Lemma. What if we want to use Γ1 ⊃ Γ2 ⊃ · · · → Γ? e.g. Cantor dust Need framework for closed screens.

20

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SLIDE 58

Prefractal convergence

Theorem (C-W, H & M 2017)

Consider a bounded sequence of nested open screens Γ1 ⊂ Γ2 ⊂ · · · For each j let uj denote the solution of problem D for Γj. Let Γ :=

j∈N Γj and let u denote the solution of problem

D for Γ. Then uj → u as j → ∞ (in W 1

loc(D)).

Proof:

  • Hs(Γ1) ⊂

Hs(Γ2) ⊂ · · · and

  • Hs

j∈N

Γj

  • =
  • j∈N
  • Hs(Γj).

Then write BIEs in variational form and apply Céa’s Lemma. What if we want to use Γ1 ⊃ Γ2 ⊃ · · · → Γ? e.g. Cantor dust Need framework for closed screens.

20

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SLIDE 59

Prefractal convergence

Theorem (C-W, H & M 2017)

Consider a bounded sequence of nested open screens Γ1 ⊂ Γ2 ⊂ · · · For each j let uj denote the solution of problem D for Γj. Let Γ :=

j∈N Γj and let u denote the solution of problem

D for Γ. Then uj → u as j → ∞ (in W 1

loc(D)).

Proof:

  • Hs(Γ1) ⊂

Hs(Γ2) ⊂ · · · and

  • Hs

j∈N

Γj

  • =
  • j∈N
  • Hs(Γj).

Then write BIEs in variational form and apply Céa’s Lemma. What if we want to use Γ1 ⊃ Γ2 ⊃ · · · → Γ? e.g. Cantor dust Need framework for closed screens.

20

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SLIDE 60

Prefractal convergence

Theorem (C-W, H & M 2017)

Consider a bounded sequence of nested open screens Γ1 ⊂ Γ2 ⊂ · · · For each j let uj denote the solution of problem D for Γj. Let Γ :=

j∈N Γj and let u denote the solution of problem

D for Γ. Then uj → u as j → ∞ (in W 1

loc(D)).

Proof:

  • Hs(Γ1) ⊂

Hs(Γ2) ⊂ · · · and

  • Hs

j∈N

Γj

  • =
  • j∈N
  • Hs(Γj).

Then write BIEs in variational form and apply Céa’s Lemma. What if we want to use Γ1 ⊃ Γ2 ⊃ · · · → Γ? e.g. Cantor dust Need framework for closed screens.

20

slide-61
SLIDE 61

What about general screens?

For an open screen Γ, we imposed the BC by restriction to Γ: (γ±u)|Γ = gD and viewed S as an operator S : H−1/2(Γ) → H1/2(Γ) ∼ = ( H−1/2(Γ))∗. But since H1/2(Rn) ⊃ (H1/2

Γc )⊥ |Γ

− − − − − − − →

isomorphism

H1/2(Γ) we could equivalently impose the BC by orthogonal projection: P(H1/2

Γc )⊥(γ±u) = gD

and view S as an operator S : H−1/2(Γ) → (H1/2

Γc )⊥ ∼

= ( H−1/2(Γ))∗. This viewpoint suggests a way of writing down BVP formulations for general screens (even with int(Γ) = ∅): ◮ replace H−1/2(Γ) by some V − ⊂ H−1/2(Rn) ◮ characterise (V −)∗ as a subspace V +

∗ ⊂ H1/2(Rn)

◮ impose BC by orthogonal projection onto V +

◮ view S as an operator S : V − → V +

21

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SLIDE 62

What about general screens?

For an open screen Γ, we imposed the BC by restriction to Γ: (γ±u)|Γ = gD and viewed S as an operator S : H−1/2(Γ) → H1/2(Γ) ∼ = ( H−1/2(Γ))∗. But since H1/2(Rn) ⊃ (H1/2

Γc )⊥ |Γ

− − − − − − − →

isomorphism

H1/2(Γ) we could equivalently impose the BC by orthogonal projection: P(H1/2

Γc )⊥(γ±u) = gD

and view S as an operator S : H−1/2(Γ) → (H1/2

Γc )⊥ ∼

= ( H−1/2(Γ))∗. This viewpoint suggests a way of writing down BVP formulations for general screens (even with int(Γ) = ∅): ◮ replace H−1/2(Γ) by some V − ⊂ H−1/2(Rn) ◮ characterise (V −)∗ as a subspace V +

∗ ⊂ H1/2(Rn)

◮ impose BC by orthogonal projection onto V +

◮ view S as an operator S : V − → V +

21

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SLIDE 63

What about general screens?

For an open screen Γ, we imposed the BC by restriction to Γ: (γ±u)|Γ = gD and viewed S as an operator S : H−1/2(Γ) → H1/2(Γ) ∼ = ( H−1/2(Γ))∗. But since H1/2(Rn) ⊃ (H1/2

Γc )⊥ |Γ

− − − − − − − →

isomorphism

H1/2(Γ) we could equivalently impose the BC by orthogonal projection: P(H1/2

Γc )⊥(γ±u) = gD

and view S as an operator S : H−1/2(Γ) → (H1/2

Γc )⊥ ∼

= ( H−1/2(Γ))∗. This viewpoint suggests a way of writing down BVP formulations for general screens (even with int(Γ) = ∅): ◮ replace H−1/2(Γ) by some V − ⊂ H−1/2(Rn) ◮ characterise (V −)∗ as a subspace V +

∗ ⊂ H1/2(Rn)

◮ impose BC by orthogonal projection onto V +

◮ view S as an operator S : V − → V +

21

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SLIDE 64

Dirichlet BVP for general screens

Let Γ be an arbitrary bounded subset of Rn (not necessarily open). Let V − be any closed subspace of H−1/2(Rn) satisfying

  • H−1/2(int(Γ)) ⊂ V − ⊂ H−1/2

Γ

, and define V +

∗ ∼

= (V −)∗ by V +

∗ := ((V −)a)⊥ ⊂ H1/2(Rn).

22

slide-65
SLIDE 65

Dirichlet BVP for general screens

Let Γ be an arbitrary bounded subset of Rn (not necessarily open). Let V − be any closed subspace of H−1/2(Rn) satisfying

  • H−1/2(int(Γ)) ⊂ V − ⊂ H−1/2

Γ

, and define V +

∗ ∼

= (V −)∗ by V +

∗ := ((V −)a)⊥ ⊂ H1/2(Rn).

22

slide-66
SLIDE 66

Dirichlet BVP for general screens

Let Γ be an arbitrary bounded subset of Rn (not necessarily open). Let V − be any closed subspace of H−1/2(Rn) satisfying

  • H−1/2(int(Γ)) ⊂ V − ⊂ H−1/2

Γ

, and define V +

∗ ∼

= (V −)∗ by V +

∗ := ((V −)a)⊥ ⊂ H1/2(Rn).

Here we are using the following fact: Let H, H be Hilbert spaces with H∗ ∼ = H (unit. isom.). (E.g. H = H−1/2(Rn), H = H1/2(Rn).) If V ⊂ H is a closed subspace, V ∗ ∼ = (V a,H)⊥,H (with inherited duality pairing)

22

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SLIDE 67

Dirichlet BVP for general screens

Let Γ be an arbitrary bounded subset of Rn (not necessarily open). Let V − be any closed subspace of H−1/2(Rn) satisfying

  • H−1/2(int(Γ)) ⊂ V − ⊂ H−1/2

Γ

, and define V +

∗ ∼

= (V −)∗ by V +

∗ := ((V −)a)⊥ ⊂ H1/2(Rn).

Problem D(V −)

Given gD ∈ V +

∗ (e.g. gD = −PV +

∗ ui),

find u ∈ C2 (D) ∩ W 1

loc(D) such that

(∆ + k2)u = 0 in D, PV +

∗ γ±u = gD,

[u] = 0, [∂nu] ∈ V −, SRC at infinity.

22

slide-68
SLIDE 68

Dirichlet BVP for general screens

Let Γ be an arbitrary bounded subset of Rn (not necessarily open). Let V − be any closed subspace of H−1/2(Rn) satisfying

  • H−1/2(int(Γ)) ⊂ V − ⊂ H−1/2

Γ

, and define V +

∗ ∼

= (V −)∗ by V +

∗ := ((V −)a)⊥ ⊂ H1/2(Rn).

Problem D(V −)

Given gD ∈ V +

∗ (e.g. gD = −PV +

∗ ui),

find u ∈ C2 (D) ∩ W 1

loc(D) such that

(∆ + k2)u = 0 in D, PV +

∗ γ±u = gD,

[u] = 0, [∂nu] ∈ V −, SRC at infinity.

Theorem (C-W & H 2016)

Problem D(V −) is well-posed for any choice of V −. Operator S : V − → V +

inherits coercivity!

22

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SLIDE 69

Which formulation to use?

For any bounded Γ, each choice

  • H−1/2(int(Γ)) ⊂ V − ⊂ H−1/2

Γ

gives its own well-posed formulation D(V −).

Theorem (C-W & H 2018)

If H−1/2(int(Γ)) = H−1/2

Γ

there is only one such formulation. If H−1/2(int(Γ)) = H−1/2

Γ

∃ infinitely many formulations with = solutions! To select “physically correct” solut., apply limiting geometry principle:

  • Γ1 ⊂ Γ2 ⊂ · · · open and “nice”

(e.g. Lipschitz)

  • Γ :=

j Γj open (gray part),

→ natural choice is V − = H−1/2(Γ).

  • Γ1 ⊃ Γ2 ⊃ · · · closed and “nice”

(e.g. closure of Lipschitz)

  • Γ :=

j Γj closed (black part),

→ natural choice is V − = H−1/2

Γ

.

23

slide-70
SLIDE 70

Which formulation to use?

For any bounded Γ, each choice

  • H−1/2(int(Γ)) ⊂ V − ⊂ H−1/2

Γ

gives its own well-posed formulation D(V −).

Theorem (C-W & H 2018)

If H−1/2(int(Γ)) = H−1/2

Γ

there is only one such formulation. If H−1/2(int(Γ)) = H−1/2

Γ

∃ infinitely many formulations with = solutions! To select “physically correct” solut., apply limiting geometry principle:

  • Γ1 ⊂ Γ2 ⊂ · · · open and “nice”

(e.g. Lipschitz)

  • Γ :=

j Γj open (gray part),

→ natural choice is V − = H−1/2(Γ).

  • Γ1 ⊃ Γ2 ⊃ · · · closed and “nice”

(e.g. closure of Lipschitz)

  • Γ :=

j Γj closed (black part),

→ natural choice is V − = H−1/2

Γ

.

23

slide-71
SLIDE 71

Which formulation to use?

For any bounded Γ, each choice

  • H−1/2(int(Γ)) ⊂ V − ⊂ H−1/2

Γ

gives its own well-posed formulation D(V −).

Theorem (C-W & H 2018)

If H−1/2(int(Γ)) = H−1/2

Γ

there is only one such formulation. If H−1/2(int(Γ)) = H−1/2

Γ

∃ infinitely many formulations with = solutions! To select “physically correct” solut., apply limiting geometry principle:

  • Γ1 ⊂ Γ2 ⊂ · · · open and “nice”

(e.g. Lipschitz)

  • Γ :=

j Γj open (gray part),

→ natural choice is V − = H−1/2(Γ).

  • Γ1 ⊃ Γ2 ⊃ · · · closed and “nice”

(e.g. closure of Lipschitz)

  • Γ :=

j Γj closed (black part),

→ natural choice is V − = H−1/2

Γ

.

23

slide-72
SLIDE 72

Which formulation to use?

For any bounded Γ, each choice

  • H−1/2(int(Γ)) ⊂ V − ⊂ H−1/2

Γ

gives its own well-posed formulation D(V −).

Theorem (C-W & H 2018)

If H−1/2(int(Γ)) = H−1/2

Γ

there is only one such formulation. If H−1/2(int(Γ)) = H−1/2

Γ

∃ infinitely many formulations with = solutions! To select “physically correct” solut., apply limiting geometry principle:

  • Γ1 ⊂ Γ2 ⊂ · · · open and “nice”

(e.g. Lipschitz)

  • Γ :=

j Γj open (gray part),

→ natural choice is V − = H−1/2(Γ).

  • Γ1 ⊃ Γ2 ⊃ · · · closed and “nice”

(e.g. closure of Lipschitz)

  • Γ :=

j Γj closed (black part),

→ natural choice is V − = H−1/2

Γ

.

23

slide-73
SLIDE 73

Which formulation to use?

For any bounded Γ, each choice

  • H−1/2(int(Γ)) ⊂ V − ⊂ H−1/2

Γ

gives its own well-posed formulation D(V −).

Theorem (C-W & H 2018)

If H−1/2(int(Γ)) = H−1/2

Γ

there is only one such formulation. If H−1/2(int(Γ)) = H−1/2

Γ

∃ infinitely many formulations with = solutions! To select “physically correct” solut., apply limiting geometry principle:

  • Γ1 ⊂ Γ2 ⊂ · · · open and “nice”

(e.g. Lipschitz)

  • Γ :=

j Γj open (gray part),

→ natural choice is V − = H−1/2(Γ).

  • Γ1 ⊃ Γ2 ⊃ · · · closed and “nice”

(e.g. closure of Lipschitz)

  • Γ :=

j Γj closed (black part),

→ natural choice is V − = H−1/2

Γ

.

23

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SLIDE 74

What if prefractals are not nested?

What if prefractals Γj are neither increasing nor decreasing? Γj

⊂ ⊃Γj+1

Key tool is Mosco convergence (Mosco 1969): Vj, V closed subspaces of Hilbert space H, j ∈ N, then Vj

M

− − → V if: ◮ ∀v ∈ V, j ∈ N, ∃vj ∈ Vj s.t. vj→v (strong approximability) ◮ ∀(jm) subsequence of N, vjm ∈ Vjm for m ∈ N, vjm⇀v, then v ∈ V (weak closure) Think: H = H−1/2(Rn), Vj = H−1/2(Γj),

  • H−1/2(int(Γ)) ⊂ V ⊂ H−1/2

Γ

Theorem (C-W, H & M, 2018)

If Vj

M

− − → V ⊂H−1/2(Rn) then solution of D(Vj) converges to sol.n of D(V) Holds for square snowflake above with V = H−1/2(int(Γ)) = H−1/2

Γ

24

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SLIDE 75

What if prefractals are not nested?

What if prefractals Γj are neither increasing nor decreasing? Γj

⊂ ⊃Γj+1

Key tool is Mosco convergence (Mosco 1969): Vj, V closed subspaces of Hilbert space H, j ∈ N, then Vj

M

− − → V if: ◮ ∀v ∈ V, j ∈ N, ∃vj ∈ Vj s.t. vj→v (strong approximability) ◮ ∀(jm) subsequence of N, vjm ∈ Vjm for m ∈ N, vjm⇀v, then v ∈ V (weak closure) Think: H = H−1/2(Rn), Vj = H−1/2(Γj),

  • H−1/2(int(Γ)) ⊂ V ⊂ H−1/2

Γ

Theorem (C-W, H & M, 2018)

If Vj

M

− − → V ⊂H−1/2(Rn) then solution of D(Vj) converges to sol.n of D(V) Holds for square snowflake above with V = H−1/2(int(Γ)) = H−1/2

Γ

24

slide-76
SLIDE 76

What if prefractals are not nested?

What if prefractals Γj are neither increasing nor decreasing? Γj

⊂ ⊃Γj+1

Key tool is Mosco convergence (Mosco 1969): Vj, V closed subspaces of Hilbert space H, j ∈ N, then Vj

M

− − → V if: ◮ ∀v ∈ V, j ∈ N, ∃vj ∈ Vj s.t. vj→v (strong approximability) ◮ ∀(jm) subsequence of N, vjm ∈ Vjm for m ∈ N, vjm⇀v, then v ∈ V (weak closure) Think: H = H−1/2(Rn), Vj = H−1/2(Γj),

  • H−1/2(int(Γ)) ⊂ V ⊂ H−1/2

Γ

Theorem (C-W, H & M, 2018)

If Vj

M

− − → V ⊂H−1/2(Rn) then solution of D(Vj) converges to sol.n of D(V) Holds for square snowflake above with V = H−1/2(int(Γ)) = H−1/2

Γ

24

slide-77
SLIDE 77

When is u = 0?

Theorem (C-W & H 2018)

Let Γ be closed with empty interior and let V − = H−1/2

Γ

. ◮ If dimHΓ < n − 1 then u = 0 for every incident direction d. ◮ If dimHΓ > n − 1 then u = 0 for a.e. incident direction d. So both the Sierpinski triangle (dimH = log 3/ log 2) and pentaflake (dimH = log 6/ log((3 + √ 5)/2)) generate a non-zero scattered field:

25

slide-78
SLIDE 78

When is u = 0?

Theorem (C-W & H 2018)

Let Γ be closed with empty interior and let V − = H−1/2

Γ

. ◮ If dimHΓ < n − 1 then u = 0 for every incident direction d. ◮ If dimHΓ > n − 1 then u = 0 for a.e. incident direction d. So both the Sierpinski triangle (dimH = log 3/ log 2) and pentaflake (dimH = log 6/ log((3 + √ 5)/2)) generate a non-zero scattered field:

25

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SLIDE 79

Back to the Cantor dust

Let C2

α := Cα × Cα ⊂ R2 denote the “Cantor dust” (0 < α < 1/2):

1 α Question: Is the scattered field u zero or non-zero for the 3D Dirich- let scattering problem with Γ = C2

α?

dimH(C2

α) =

log(4) log(1/α) Answer: u = 0, if 0 < α ≤ 1/4; u = 0, in general, if 1/4 < α < 1/2. (u = 0 for all α for Neumann BCs)

26

slide-80
SLIDE 80

Back to the Cantor dust

Let C2

α := Cα × Cα ⊂ R2 denote the “Cantor dust” (0 < α < 1/2):

1 α Question: Is the scattered field u zero or non-zero for the 3D Dirich- let scattering problem with Γ = C2

α?

dimH(C2

α) =

log(4) log(1/α) Answer: u = 0, if 0 < α ≤ 1/4; u = 0, in general, if 1/4 < α < 1/2. (u = 0 for all α for Neumann BCs)

26

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SLIDE 81

Part IV Numerical approximation

slide-82
SLIDE 82

Boundary element method (BEM)

For each prefractal Γj, the BIE S[∂u/∂n] = −gD can be solved using a standard BEM space, e.g. piecewise constants on a mesh of width hj. Let wj denote the Galerkin BEM solution on Γj. Let lj = αj be the width of each component of Γj (4j of them). Under certain assumptions on hj, we prove BEM convergence u − wjH−1/2(Rn) → 0. Follows from Mosco convergence of BEM spaces. This requires approximability (∀v ∈ H−1/2

Γ

∃vj ∈ H−1/2(Γj), vj → v): proved with mollification, L2 projection, partition of unity, . . .

27

slide-83
SLIDE 83

Boundary element method (BEM)

For each prefractal Γj, the BIE S[∂u/∂n] = −gD can be solved using a standard BEM space, e.g. piecewise constants on a mesh of width hj. Let wj denote the Galerkin BEM solution on Γj. Let lj = αj be the width of each component of Γj (4j of them). Under certain assumptions on hj, we prove BEM convergence u − wjH−1/2(Rn) → 0. Follows from Mosco convergence of BEM spaces. This requires approximability (∀v ∈ H−1/2

Γ

∃vj ∈ H−1/2(Γj), vj → v): proved with mollification, L2 projection, partition of unity, . . .

27

slide-84
SLIDE 84

Boundary element method (BEM)

For each prefractal Γj, the BIE S[∂u/∂n] = −gD can be solved using a standard BEM space, e.g. piecewise constants on a mesh of width hj. Let wj denote the Galerkin BEM solution on Γj. Let lj = αj be the width of each component of Γj (4j of them). Under certain assumptions on hj, we prove BEM convergence u − wjH−1/2(Rn) → 0. Follows from Mosco convergence of BEM spaces. This requires approximability (∀v ∈ H−1/2

Γ

∃vj ∈ H−1/2(Γj), vj → v): proved with mollification, L2 projection, partition of unity, . . .

27

slide-85
SLIDE 85

Convergence results for the Cantor dust

Theorem (C-W, H & M 2018)

Suppose ∃ −1/2 < t < 0 such that Ht

Γ is dense in H−1/2 Γ

. Then ∃ µ = µ(t) > 0 such that if hj/lj = O(e−µj) then wj → u as j → ∞. Certainly not sharp! ◮ hj/lj = O(e−µj) is a severe restriction ◮ Density assumption Ht

Γ ⊂ H−1/2 Γ

for some t > −1/2 not yet verified We can do better if we replace Γj by “fattened” versions: ˜ Γj = {x : dist(x, Γj) < εlj} for some 0 < ε < min{α, 1

2 − α}.

Theorem (C-W, H & M 2018)

If hj = o(lj) then ˜ wj → u as j → ∞. We require condition weaker than hj = o(lj) if Ht

Γ is dense in H−1/2 Γ

. For simplicity, I’ll show results on prefractals for #DOF fixed but large.

28

slide-86
SLIDE 86

Convergence results for the Cantor dust

Theorem (C-W, H & M 2018)

Suppose ∃ −1/2 < t < 0 such that Ht

Γ is dense in H−1/2 Γ

. Then ∃ µ = µ(t) > 0 such that if hj/lj = O(e−µj) then wj → u as j → ∞. Certainly not sharp! ◮ hj/lj = O(e−µj) is a severe restriction ◮ Density assumption Ht

Γ ⊂ H−1/2 Γ

for some t > −1/2 not yet verified We can do better if we replace Γj by “fattened” versions: ˜ Γj = {x : dist(x, Γj) < εlj} for some 0 < ε < min{α, 1

2 − α}.

Theorem (C-W, H & M 2018)

If hj = o(lj) then ˜ wj → u as j → ∞. We require condition weaker than hj = o(lj) if Ht

Γ is dense in H−1/2 Γ

. For simplicity, I’ll show results on prefractals for #DOF fixed but large.

28

slide-87
SLIDE 87

Convergence results for the Cantor dust

Theorem (C-W, H & M 2018)

Suppose ∃ −1/2 < t < 0 such that Ht

Γ is dense in H−1/2 Γ

. Then ∃ µ = µ(t) > 0 such that if hj/lj = O(e−µj) then wj → u as j → ∞. Certainly not sharp! ◮ hj/lj = O(e−µj) is a severe restriction ◮ Density assumption Ht

Γ ⊂ H−1/2 Γ

for some t > −1/2 not yet verified We can do better if we replace Γj by “fattened” versions: ˜ Γj = {x : dist(x, Γj) < εlj} for some 0 < ε < min{α, 1

2 − α}.

Theorem (C-W, H & M 2018)

If hj = o(lj) then ˜ wj → u as j → ∞. We require condition weaker than hj = o(lj) if Ht

Γ is dense in H−1/2 Γ

. For simplicity, I’ll show results on prefractals for #DOF fixed but large.

28

slide-88
SLIDE 88

Convergence results for the Cantor dust

Theorem (C-W, H & M 2018)

Suppose ∃ −1/2 < t < 0 such that Ht

Γ is dense in H−1/2 Γ

. Then ∃ µ = µ(t) > 0 such that if hj/lj = O(e−µj) then wj → u as j → ∞. Certainly not sharp! ◮ hj/lj = O(e−µj) is a severe restriction ◮ Density assumption Ht

Γ ⊂ H−1/2 Γ

for some t > −1/2 not yet verified We can do better if we replace Γj by “fattened” versions: ˜ Γj = {x : dist(x, Γj) < εlj} for some 0 < ε < min{α, 1

2 − α}.

Theorem (C-W, H & M 2018)

If hj = o(lj) then ˜ wj → u as j → ∞. We require condition weaker than hj = o(lj) if Ht

Γ is dense in H−1/2 Γ

. For simplicity, I’ll show results on prefractals for #DOF fixed but large.

28

slide-89
SLIDE 89

Convergence results for the Cantor dust

Theorem (C-W, H & M 2018)

Suppose ∃ −1/2 < t < 0 such that Ht

Γ is dense in H−1/2 Γ

. Then ∃ µ = µ(t) > 0 such that if hj/lj = O(e−µj) then wj → u as j → ∞. Certainly not sharp! ◮ hj/lj = O(e−µj) is a severe restriction ◮ Density assumption Ht

Γ ⊂ H−1/2 Γ

for some t > −1/2 not yet verified We can do better if we replace Γj by “fattened” versions: ˜ Γj = {x : dist(x, Γj) < εlj} for some 0 < ε < min{α, 1

2 − α}.

Theorem (C-W, H & M 2018)

If hj = o(lj) then ˜ wj → u as j → ∞. We require condition weaker than hj = o(lj) if Ht

Γ is dense in H−1/2 Γ

. For simplicity, I’ll show results on prefractals for #DOF fixed but large.

28

slide-90
SLIDE 90

Numerical results: Cantor dust α = 1/3 (u = 0)

k = 25, 4096 DOFs, prefractal level 1

29

slide-91
SLIDE 91

Numerical results: Cantor dust α = 1/3 (u = 0)

k = 25, 4096 DOFs, prefractal level 2

29

slide-92
SLIDE 92

Numerical results: Cantor dust α = 1/3 (u = 0)

k = 25, 4096 DOFs, prefractal level 3

29

slide-93
SLIDE 93

Numerical results: Cantor dust α = 1/3 (u = 0)

k = 25, 4096 DOFs, prefractal level 4

29

slide-94
SLIDE 94

Numerical results: Cantor dust α = 1/3 (u = 0)

k = 25, 4096 DOFs, prefractal level 5

29

slide-95
SLIDE 95

Numerical results: Cantor dust α = 1/3 (u = 0)

k = 25, 4096 DOFs, prefractal level 6

29

slide-96
SLIDE 96

Numerical results: Cantor dust α = 0.1 (u = 0)

k = 25, 4096 DOFs, prefractal level 1

30

slide-97
SLIDE 97

Numerical results: Cantor dust α = 0.1 (u = 0)

k = 25, 4096 DOFs, prefractal level 2

30

slide-98
SLIDE 98

Numerical results: Cantor dust α = 0.1 (u = 0)

k = 25, 4096 DOFs, prefractal level 3

30

slide-99
SLIDE 99

Numerical results: Cantor dust α = 0.1 (u = 0)

k = 25, 4096 DOFs, prefractal level 4

30

slide-100
SLIDE 100

Numerical results: Cantor dust α = 0.1 (u = 0)

k = 25, 4096 DOFs, prefractal level 5

30

slide-101
SLIDE 101

Numerical results: Cantor dust α = 0.1 (u = 0)

k = 25, 4096 DOFs, prefractal level 6

30

slide-102
SLIDE 102

Convergence of BEM solution norms: Cantor dust

Norms of the solution on the prefractals converge: ◮ to a positive constant values for α = 1/3 (left), ◮ to 0 for α = 1/10 (right).

31

slide-103
SLIDE 103

Numerical results: Sierpinski triangle

(Pr. levels 0 and 1 are not colour-scaled)

k = 45, prefractal level 0, 2209 DOFs

32

slide-104
SLIDE 104

Numerical results: Sierpinski triangle

(Pr. levels 0 and 1 are not colour-scaled)

k = 45, prefractal level 1, 2187 DOFs

32

slide-105
SLIDE 105

Numerical results: Sierpinski triangle

(Pr. levels 0 and 1 are not colour-scaled)

k = 45, prefractal level 2, 2304 DOFs

32

slide-106
SLIDE 106

Numerical results: Sierpinski triangle

(Pr. levels 0 and 1 are not colour-scaled)

k = 45, prefractal level 3, 2187 DOFs

32

slide-107
SLIDE 107

Numerical results: Sierpinski triangle

(Pr. levels 0 and 1 are not colour-scaled)

k = 45, prefractal level 4, 2916 DOFs

32

slide-108
SLIDE 108

Numerical results: Sierpinski triangle

(Pr. levels 0 and 1 are not colour-scaled)

k = 45, prefractal level 5, 2187 DOFs

32

slide-109
SLIDE 109

Numerical results: Sierpinski triangle

(Pr. levels 0 and 1 are not colour-scaled)

k = 45, prefractal level 6, 2916 DOFs

32

slide-110
SLIDE 110

Numerical results: Sierpinski triangle

(Pr. levels 0 and 1 are not colour-scaled)

k = 45, prefractal level 7, 2187 DOFs

32

slide-111
SLIDE 111

Convergence of BEM solutions: Sierpinski triangle

Right: wj − w7L2(BOX) w7L2(BOX) , wj − w7L2(FarField) w7L2(FarField) . (Prefractal level 3 is when density maxima are located and all wavelength-size prefractal features are resolved: big error reduction!)

33

slide-112
SLIDE 112

Other shapes

⊳ Sierpinski carpet. △ “Square snowflake”, limit of non-monotonic prefractals.

34

slide-113
SLIDE 113

Apertures

Field through bounded apertures in unbounded Neumann screens computed via Babinet’s principle. n = 1, Cantor set α = 1/3, prefractal level 12: field through 0-measure holes! Koch snowflake-shaped aperture.

35

slide-114
SLIDE 114

Apertures

Field through bounded apertures in unbounded Neumann screens computed via Babinet’s principle. n = 1, Cantor set α = 1/3, prefractal level 12: field through 0-measure holes! Koch snowflake-shaped aperture.

35

slide-115
SLIDE 115

Experimental functional analysis!

Question: for Γ the open Koch snowflake, is H±1/2(Γ) = H±1/2

Γ

? We can approximate Γ from inside and outside with polygons Γ±

j :

Γ−

1 ⊂ Γ− 2 ⊂ Γ− 3

  • pen

⊂ · · · ⊂

  • j∈N

Γ−

j = Γ ⊂ Γ =

  • j∈N

Γ+

j ⊂ · · · ⊂ Γ+ 3 ⊂ Γ+ 2 ⊂ Γ+ 1 closed

. For a scattering BVP , u−

j

→ u− ∈ H−1/2(Γ), u+

j

→ u+ ∈ H−1/2

Γ

, u± solution of BVPs in Γ and in Γ. We study numerically if u− ? = u+, i.e. if inner and outer limits coincide.

36

slide-116
SLIDE 116

Experimental functional analysis!

Question: for Γ the open Koch snowflake, is H±1/2(Γ) = H±1/2

Γ

? We can approximate Γ from inside and outside with polygons Γ±

j :

Γ−

1 ⊂ Γ− 2 ⊂ Γ− 3

  • pen

⊂ · · · ⊂

  • j∈N

Γ−

j = Γ ⊂ Γ =

  • j∈N

Γ+

j ⊂ · · · ⊂ Γ+ 3 ⊂ Γ+ 2 ⊂ Γ+ 1 closed

. For a scattering BVP , u−

j

→ u− ∈ H−1/2(Γ), u+

j

→ u+ ∈ H−1/2

Γ

, u± solution of BVPs in Γ and in Γ. We study numerically if u− ? = u+, i.e. if inner and outer limits coincide.

36

slide-117
SLIDE 117

Experimental functional analysis!

Question: for Γ the open Koch snowflake, is H±1/2(Γ) = H±1/2

Γ

? We can approximate Γ from inside and outside with polygons Γ±

j :

Γ−

1 ⊂ Γ− 2 ⊂ Γ− 3

  • pen

⊂ · · · ⊂

  • j∈N

Γ−

j = Γ ⊂ Γ =

  • j∈N

Γ+

j ⊂ · · · ⊂ Γ+ 3 ⊂ Γ+ 2 ⊂ Γ+ 1 closed

. For a scattering BVP , u−

j

→ u− ∈ H−1/2(Γ), u+

j

→ u+ ∈ H−1/2

Γ

, u± solution of BVPs in Γ and in Γ. We study numerically if u− ? = u+, i.e. if inner and outer limits coincide.

36

slide-118
SLIDE 118

Experimental functional analysis!

Question: for Γ the open Koch snowflake, is H±1/2(Γ) = H±1/2

Γ

? We can approximate Γ from inside and outside with polygons Γ±

j :

Γ−

1 ⊂ Γ− 2 ⊂ Γ− 3

  • pen

⊂ · · · ⊂

  • j∈N

Γ−

j = Γ ⊂ Γ =

  • j∈N

Γ+

j ⊂ · · · ⊂ Γ+ 3 ⊂ Γ+ 2 ⊂ Γ+ 1 closed

. For a scattering BVP , u−

j

→ u− ∈ H−1/2(Γ), u+

j

→ u+ ∈ H−1/2

Γ

, u± solution of BVPs in Γ and in Γ. We study numerically if u− ? = u+, i.e. if inner and outer limits coincide.

36

slide-119
SLIDE 119

Real part of fields on inner and outer prefractals

Γ− Γ−

1

Γ−

2

Γ−

3

Γ−

4

Γ+ Γ+

1

Γ+

2

Γ+

3

k = 61, d = (0,

1 √ 2, 1 √ 2)⊤, 3576 to 10344 DOFs, different colour scales.

Now I compare w−

j against w+ j−1 and w+ j .

37

slide-120
SLIDE 120

Inner and outer snowflake approximations

Blue lines are w−

j − w+ l H−1/2(R2), converging fast to 0!

Evidence for H±1/2(Γ) = H±1/2

Γ

? We can now prove Hs(Γ) = Hs

Γ ∀s ∈ R for a class of snowflakes!

(Caetano + H + M, 2018)

38

slide-121
SLIDE 121

Inner and outer snowflake approximations

Blue lines are w−

j − w+ l H−1/2(R2), converging fast to 0!

Evidence for H±1/2(Γ) = H±1/2

Γ

? We can now prove Hs(Γ) = Hs

Γ ∀s ∈ R for a class of snowflakes!

(Caetano + H + M, 2018)

38

slide-122
SLIDE 122

Open questions

◮ How best to do numerical analysis in the joint limit of prefractal level and mesh refinement? ◮ Rates of convergence? ◮ Regularity theory for the fractal solution? ◮ Relation with “intrinsic” spaces? ◮ Approximation on fractals! ◮ What about curved screens? ◮ What about the Maxwell case? Other PDEs? (Laplace, reaction–diffusion already covered.) ◮ . . .

Thank you!

39

slide-123
SLIDE 123

Open questions

◮ How best to do numerical analysis in the joint limit of prefractal level and mesh refinement? ◮ Rates of convergence? ◮ Regularity theory for the fractal solution? ◮ Relation with “intrinsic” spaces? ◮ Approximation on fractals! ◮ What about curved screens? ◮ What about the Maxwell case? Other PDEs? (Laplace, reaction–diffusion already covered.) ◮ . . .

Thank you!

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SLIDE 124

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