Explicit kernel-split panel-based Nyström schemes for planar or axisymmetric Helmholtz problems

Transcription

1 z Explicit kernel-split panel-based Nyström schemes for planar or axisymmetric Helmholtz problems Johan Helsing Lund University Talk at Integral equation methods: fast algorithms and applications, Banff, December 9, log 10 of error in u 2,43 e i2θ estimated average pointwise error Convergence of modal eigenfunction u 2,43 u2,43 in A 16th order 1 (d) x (b) number of discretization points on γ

2 Acknowledgement The work presented has in part been carried out in cooperation with or been supported by: Michael Benedicks Björn Dahlberg Jonas Englund Leslie Greengard Bertil Gustafsson Anders Karlsson Robert V. Kohn Graeme Milton Gunnar Peters Rikard Ojala Karl-Mikael Perfekt the Swedish Research Council

3 Outline Recent trends in my own reserach, which has become (even more) application driven and now focuses on scattering problems Helmholtz equation Geometries Integral equations with split kernels Philosophy Overview of numerical tools Product integration Multilevel discretization Numerical examples Relevance for particle accelerator design

4 Helmholtz equation Exterior Dirichlet planar problem u(r) + k 2 u(r) = 0, lim r u(r) = g(r), ( r r ik Interior Neumann axisymmetric problem r E r γ ) u(r) = 0 u(r) + k 2 u(r) = 0, ν u(r) = f (r), r V r Γ Fourier methods will be used in the azimuthal direction.

5 Planar problem: geometry Planar Exterior Helmholtz Dirichlet problem Real{u(r)} at k= y (a) x Figure: Setup from Hao, Barnett, Martinsson, and Young, Adv. Comput. Math., (2013, in press).

6 Axisymmetric problem: geometry Coordinates for body of revolution z r ν τ A γ r c (c) Figure: An axially symmetric surface Γ generated by a curve γ. (a) Unit normal ν and tangent vector τ. (b) r has radial distance r c, azimuthal angle θ, and height z. The planar domain A is bounded by γ and the z-axis. (c) Coordinate axes and vectors in the half-plane θ = 0.

7 Planar problem: integral equation Planar Exterior Helmholtz Dirichlet problem ρ(r)+ K(r, r )ρ(r ) dγ i k S(r, r )ρ(r ) dγ = 2g(r), γ 2 γ where K and S depend on k. Note the coupling parameter. r γ Splits: S(r, r ) = G 1 (r, r ) 2 π log r r I { S(r, r ) } K(r, r ) = G 2 (r, r ) 2 π log r r I { K(r, r ) } where G 1, G 2, I {S}, and I {K} are smooth functions. Similar for post-processor.

8 Axisymmetric problem: integral equation Axisymmetric interior Helmholtz Neumann problem. Modal equations: ρ n (r) + 2 2π Kn(r, t r )ρ n (r )r c dγ = 2f n (r), n = 0,... γ Kn(r, t r ) = K n(r, t r ) + 1 Dm(r, t r ) G 3,n m (r, r ) 2π D t n(r, r ) = G 4 (r, r )Q n 1 2 m χ = 1 + r r 2 2r c r c (χ) + G 5 (r, r )Q n 3 (χ) 2 Split: Q n 1 (χ) = 1 ( 2 2 log (χ 1) 2 F n, 1 ) 1 χ + n; 1; G 6 (χ, n)

9 Philosophy Automatization Computing on-the-fly Optimal accuracy Discretization economy Solutions available everywhere in domain Exploitation of known analytical information

10 Numerical tools Nyström scheme with panelwise Gauss Legendre quadrature Fast product integration for (near) singular logarithmic- and Cauchy-type kernels Matrix splittings M = M + M Multilevel discretization coarse and fine grids Panelwise interpolation operators P, Q, and P W. Hankel functions H n (1) (z) and toroidal harmonics Q n 1 (z) 2

11 Product integration Given a parameterization γ(t), a quadrature t i, w i and I p (r) = G(r, r )ρ(r ) dγ γ p G(r, r ) = G 0 (r, r ) + log r r G L (r, r ) + (r r) ν r r 2 GC (r, r ) it holds, on the fly and in practice, to order n pt 32 n pt I p (r) = G(r, r j )ρ j s j w j + j=1 n pt j=1 G L (r, r j )ρ j s j w j wlj corr (r) n pt + j=1 G C (r, r j )ρ j w cmp Cj (r)

12 Variants of schemes General form of discretized integral equation ( I + M γ + M ) γ ρ = 2g Post-processor u = (M E + M E ) ρ Abbreviations in what follows (1) coarse grid on γ (2) fine grid on γ (3) field points in the exterior E

13 Variants of schemes Scheme A: everything on the coarse grid ( ) I (11) + M (11) γ + M (11) γ ρ (1) = 2g (1) u (3) = ( M (31) E + M (31) E ) ρ (1) Scheme B: close interaction on the fine grid ( ) I (11) + QM (22) γ P + M (11) γ ρ (1) = 2g (1) ( ) u (3) = M (32) E P + M (32) E P + M (31) E ρ (1) Scheme C: same as scheme B, but with equal arc length panels

14 Variants of schemes Scheme D: more uknknowns, but same work for main matrix-vector multiplications ( ) I (22) + M (22) γ + PM (11) γ P T W ρ (2) = 2g (2) u (3) = ( M (32) E + M (32) E + M (31) E P T W ) ρ (2) Scheme E: even more dominant role for fine grid in integral equation ( ) I (22) + M (22) γ + M (21) γ P T W ρ (2) = 2g (2) ( ) u (3) = M (32) E + M (32) E + M (31) E P T W ρ (2)

15 Planar problem: results Log 10 of pointwise error in u(r) at k= y (b) x Figure: log 10 of pointwise error in u(r), normalized with max u(r), at 347,650 near-field points. Scheme E is used with 140 panels on γ. The sources that generate the boundary conditions appear as green stars.

16 Planar problem: results relative error at distant testing locations Exterior Helmholtz Dirichlet problem at k=280 scheme A scheme B scheme C scheme D scheme E number of nodes (on coarse mesh) Figure: Far field tests.

17 Planar problem: results average pointwise near field error Exterior Helmholtz Dirichlet problem at k=280 scheme A scheme B scheme C scheme D scheme E 16th order 32nd order number of panels Figure: Near field tests.

18 Axisymmetric problem: results estimated relative error Convergence of eigenwavenumber k 1,49 16th order 1/cond k1,49 estimated average pointwise error Convergence of modal eigenfunction u 1,49 u1,49 in A 16th order (a) number of discretization points on γ (b) number of discretization points on γ Figure: Convergence of the Laplace Neumann eigenpair u 1,49 (r) and k 1, (a) Reciprocal condition number and error in k 1,49. (b) Estimated average pointwise error in u 1,49 (r).

19 Axisymmetric problem: results z (c) u 1,49 e iθ x z (d) log 10 of error in u 1,49 e iθ x Figure: Normalized Neumann Laplace eigenfunction u 1,49 (r). (c) The field u 1,49 (r)e iθ for θ = 0 and θ = π with 608 points on γ. (d) log 10 of pointwise error in u 1,49 (r)e iθ for θ = 0 and θ = π

20 Axisymmetric problem: results estimated relative error Convergence of eigenwavenumber k 2,43 16th order 1/cond k2,43 estimated average pointwise error Convergence of modal eigenfunction u 2,43 u2,43 in A 16th order (a) number of discretization points on γ (b) number of discretization points on γ Figure: Convergence of the Laplace Neumann eigenpair u 2,43 (r) and k 2, (a) Reciprocal condition number and error in k 2,43. (b) Estimated average pointwise error in u 2,43 (r).

21 Axisymmetric problem: results u 2,43 e i2θ log 10 of error in u 2,43 e i2θ z (c) x z (d) x Figure: Normalized Neumann Laplace eigenfunction u 2,43 (r). (c) The field u 2,43 (r)e iθ for θ = 0 and θ = π with 608 points on γ. (d) log 10 of pointwise error in u 2,43 (r)e iθ for θ = 0 and θ = π.

22 Conclusions Explicit kernel-split panel-based Nyström discretization schemes with quadratures computed on the fly seem competitive for planar and axisymmetric BVP. Log and Cauchy kernels suffice most of the time. Comparing schemes is difficult. Fast methods for non-linear eigenvalue problems needed in applications to accelerator design. Incorporation of fast direct solvers?

23 References J. Helsing, Solving integral equations on piecewise smooth boundaries using the RCIP method: a tutorial, Abstr. Appl. Anal., 2013, Article ID (2013). J. Helsing and A. Holst, Variants of an explicit kernel-split panel-based Nyström discretization scheme for Helmholtz boundary value problems, arxiv: [math.na] (2013). J. Helsing and A. Karlsson, An accurate solver for boundary value problems applied to the scattering of electromagnetic waves from two-dimensional objects with corners, IEEE Trans. Antennas Propag., 61, (2013). J. Helsing, Integral equation methods for elliptic problems with boundary conditions of mixed type, J. Comput. Phys., 228(23), (2009).