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Numerical approximation of acoustic scattering by fractal screens - PowerPoint PPT Presentation

UMI, P AVIA , 27 S EPTEMBER 2019 Numerical approximation of acoustic scattering by fractal screens Andrea Moiola http://matematica.unipv.it/moiola/ Joint work with S.N. Chandler-Wilde (Reading), D.P . Hewett (UCL) A. Caetano (Aveiro)


  1. UMI, P AVIA , 2–7 S EPTEMBER 2019 Numerical approximation of acoustic scattering by fractal screens Andrea Moiola http://matematica.unipv.it/moiola/ Joint work with S.N. Chandler-Wilde (Reading), D.P . Hewett (UCL) A. Caetano (Aveiro)

  2. Acoustic wave scattering by a planar screen Time-harmonic (sinusoidal in time) acoustic waves are modelled by the Helmholtz equation ∆ u + k 2 u = 0 with wavenumber k > 0 . Scattering: incoming wave u i hits obstacle Γ and generates field u . Γ bounded subset of Γ ∞ := { x ∈ R n : x n = 0 } ∼ = R n − 1 , n = 2 , 3 ∆ u + k 2 u = 0 D := R n \ { Γ × { 0 }} x 3 x 2 u i ( x ) = e i k d · x Γ u = − u i x 1 u satisfies Sommerfeld radiation condition (SRC) at infinity � r ( 1 − n ) / 2 � (i.e. ∂ r u − iku = o uniformly as r = | x | → ∞ ). Classical problem when Γ is open and Lipschitz. What happens for arbitrary (rougher than Lipschitz, e.g. fractal) Γ ? 2

  3. Acoustic wave scattering by a planar screen Time-harmonic (sinusoidal in time) acoustic waves are modelled by the Helmholtz equation ∆ u + k 2 u = 0 with wavenumber k > 0 . Scattering: incoming wave u i hits obstacle Γ and generates field u . Γ bounded subset of Γ ∞ := { x ∈ R n : x n = 0 } ∼ = R n − 1 , n = 2 , 3 ∆ u + k 2 u = 0 D := R n \ { Γ × { 0 }} x 3 x 2 u i ( x ) = e i k d · x Γ u = − u i x 1 u satisfies Sommerfeld radiation condition (SRC) at infinity � r ( 1 − n ) / 2 � (i.e. ∂ r u − iku = o uniformly as r = | x | → ∞ ). Classical problem when Γ is open and Lipschitz. What happens for arbitrary (rougher than Lipschitz, e.g. fractal) Γ ? 2

  4. Acoustic wave scattering by a planar screen Time-harmonic (sinusoidal in time) acoustic waves are modelled by the Helmholtz equation ∆ u + k 2 u = 0 with wavenumber k > 0 . Scattering: incoming wave u i hits obstacle Γ and generates field u . Γ bounded subset of Γ ∞ := { x ∈ R n : x n = 0 } ∼ = R n − 1 , n = 2 , 3 ∆ u + k 2 u = 0 D := R n \ { Γ × { 0 }} x 3 x 2 u i ( x ) = e i k d · x Γ u = − u i x 1 u satisfies Sommerfeld radiation condition (SRC) at infinity � r ( 1 − n ) / 2 � (i.e. ∂ r u − iku = o uniformly as r = | x | → ∞ ). Classical problem when Γ is open and Lipschitz. What happens for arbitrary (rougher than Lipschitz, e.g. fractal) Γ ? 2

  5. Acoustic wave scattering by a planar screen Time-harmonic (sinusoidal in time) acoustic waves are modelled by the Helmholtz equation ∆ u + k 2 u = 0 with wavenumber k > 0 . Scattering: incoming wave u i hits obstacle Γ and generates field u . Γ bounded subset of Γ ∞ := { x ∈ R n : x n = 0 } ∼ = R n − 1 , n = 2 , 3 ∆ u + k 2 u = 0 D := R n \ { Γ × { 0 }} x 3 x 2 u i ( x ) = e i k d · x Γ u = − u i x 1 u satisfies Sommerfeld radiation condition (SRC) at infinity � r ( 1 − n ) / 2 � (i.e. ∂ r u − iku = o uniformly as r = | x | → ∞ ). Classical problem when Γ is open and Lipschitz. What happens for arbitrary (rougher than Lipschitz, e.g. fractal) Γ ? 2

  6. Acoustic wave scattering by a planar screen Time-harmonic (sinusoidal in time) acoustic waves are modelled by the Helmholtz equation ∆ u + k 2 u = 0 with wavenumber k > 0 . Scattering: incoming wave u i hits obstacle Γ and generates field u . Γ bounded subset of Γ ∞ := { x ∈ R n : x n = 0 } ∼ = R n − 1 , n = 2 , 3 ∆ u + k 2 u = 0 D := R n \ { Γ × { 0 }} x 3 x 2 u i ( x ) = e i k d · x Γ u = − u i x 1 u satisfies Sommerfeld radiation condition (SRC) at infinity � r ( 1 − n ) / 2 � (i.e. ∂ r u − iku = o uniformly as r = | x | → ∞ ). Classical problem when Γ is open and Lipschitz. What happens for arbitrary (rougher than Lipschitz, e.g. fractal) Γ ? 2

  7. Acoustic wave scattering by a planar screen Time-harmonic (sinusoidal in time) acoustic waves are modelled by the Helmholtz equation ∆ u + k 2 u = 0 with wavenumber k > 0 . Scattering: incoming wave u i hits obstacle Γ and generates field u . Γ bounded subset of Γ ∞ := { x ∈ R n : x n = 0 } ∼ = R n − 1 , n = 2 , 3 ∆ u + k 2 u = 0 D := R n \ { Γ × { 0 }} x 3 x 2 u i ( x ) = e i k d · x Γ u = − u i x 1 u satisfies Sommerfeld radiation condition (SRC) at infinity � r ( 1 − n ) / 2 � (i.e. ∂ r u − iku = o uniformly as r = | x | → ∞ ). Classical problem when Γ is open and Lipschitz. What happens for arbitrary (rougher than Lipschitz, e.g. fractal) Γ ? 2

  8. Waves and fractals: applications Wideband fractal antennas (Figures from http://www.antenna-theory.com/antennas/fractal.php ) 3

  9. Waves and fractals: applications Wideband fractal antennas (Figures from http://www.antenna-theory.com/antennas/fractal.php ) Scattering by ice crystals in atmospheric physics e.g. C. Westbrook Fractal apertures in laser optics e.g. J. Christian 3

  10. Scattering by fractal screens · · · Lots of mathematical challenges: ◮ 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? ◮ . . . Note: several tools developed here might be used in the (numerical) analysis of different IEs & BVPs involving complicated domains. 4

  11. BVPs & BIEs: long story short... We write Helmholtz BVPs for bounded open and compact screens Γ . These are equivalent to boundary integral equations (BIEs), which can be written as continuous&coercive variational problems find φ ∈ V s.t. A ( φ, ψ ) = F ( ψ ) ∀ ψ ∈ V ( φ = [ ∂ n u ] Neumann jump on Γ ) posed in subspaces of H − 1 / 2 (Γ ∞ ) : H − 1 / 2 ( R n − 1 ) V = � H − 1 / 2 (Γ) := C ∞ 0 (Γ) Γ open, V = H − 1 / 2 := { u ∈ H − 1 / 2 ( R n − 1 ) : supp u ⊂ Γ } Γ compact. Γ ( � H s (Γ) = H s if Γ is C 0 , or thick..., many cases but ∃ counterexamples) Γ H − 1 / 2 (Γ) � How to approximate φ ∈ numerically if Γ is rough/fractal? H − 1 / 2 Γ E.g. Γ hard to mesh, interior is empty, prefractals are not nested...? 5

  12. BVPs & BIEs: long story short... We write Helmholtz BVPs for bounded open and compact screens Γ . These are equivalent to boundary integral equations (BIEs), which can be written as continuous&coercive variational problems find φ ∈ V s.t. A ( φ, ψ ) = F ( ψ ) ∀ ψ ∈ V ( φ = [ ∂ n u ] Neumann jump on Γ ) posed in subspaces of H − 1 / 2 (Γ ∞ ) : H − 1 / 2 ( R n − 1 ) V = � H − 1 / 2 (Γ) := C ∞ 0 (Γ) Γ open, V = H − 1 / 2 := { u ∈ H − 1 / 2 ( R n − 1 ) : supp u ⊂ Γ } Γ compact. Γ ( � H s (Γ) = H s if Γ is C 0 , or thick..., many cases but ∃ counterexamples) Γ H − 1 / 2 (Γ) � How to approximate φ ∈ numerically if Γ is rough/fractal? H − 1 / 2 Γ E.g. Γ hard to mesh, interior is empty, prefractals are not nested...? 5

  13. BVPs & BIEs: long story short... We write Helmholtz BVPs for bounded open and compact screens Γ . These are equivalent to boundary integral equations (BIEs), which can be written as continuous&coercive variational problems find φ ∈ V s.t. A ( φ, ψ ) = F ( ψ ) ∀ ψ ∈ V ( φ = [ ∂ n u ] Neumann jump on Γ ) posed in subspaces of H − 1 / 2 (Γ ∞ ) : H − 1 / 2 ( R n − 1 ) V = � H − 1 / 2 (Γ) := C ∞ 0 (Γ) Γ open, V = H − 1 / 2 := { u ∈ H − 1 / 2 ( R n − 1 ) : supp u ⊂ Γ } Γ compact. Γ ( � H s (Γ) = H s if Γ is C 0 , or thick..., many cases but ∃ counterexamples) Γ H − 1 / 2 (Γ) � How to approximate φ ∈ numerically if Γ is rough/fractal? H − 1 / 2 Γ E.g. Γ hard to mesh, interior is empty, prefractals are not nested...? 5

  14. Mosco convergence Key tool is Mosco convergence for closed subspaces of Hilbert H : M Mosco convergence (1969): H ⊃ V j − − → V ⊂ H if ◮ ∀ v ∈ V , j ∈ N , ∃ v j ∈ V j s.t. v j → v (strong approximability) ◮ ∀ ( j m ) subseq. of N , v j m ∈ V j m , v j m ⇀ v , then v ∈ V (weak closure) Theorem M If H ⊃ V j − − → V ⊂ H and sesquilinear form A is continuous&coercive on H , F ∈ H ∗ , then the sequence φ j of solutions of find φ j ∈ V j s.t. A ( φ j , ψ j ) = F ( ψ j ) ∀ ψ j ∈ V j converges (in the norm of H ) to the solution of find φ ∈ V s.t. A ( φ, ψ ) = F ( ψ ) ∀ ψ ∈ V . We extend this to compactly-perturbed problems. 6

  15. Mosco convergence Key tool is Mosco convergence for closed subspaces of Hilbert H : M Mosco convergence (1969): H ⊃ V j − − → V ⊂ H if ◮ ∀ v ∈ V , j ∈ N , ∃ v j ∈ V j s.t. v j → v (strong approximability) ◮ ∀ ( j m ) subseq. of N , v j m ∈ V j m , v j m ⇀ v , then v ∈ V (weak closure) Theorem M If H ⊃ V j − − → V ⊂ H and sesquilinear form A is continuous&coercive on H , F ∈ H ∗ , then the sequence φ j of solutions of find φ j ∈ V j s.t. A ( φ j , ψ j ) = F ( ψ j ) ∀ ψ j ∈ V j converges (in the norm of H ) to the solution of find φ ∈ V s.t. A ( φ, ψ ) = F ( ψ ) ∀ ψ ∈ V . We extend this to compactly-perturbed problems. 6

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