May 18 – 22, 2026
Virginia Tech
America/New_York timezone

Circulant Preconditioning fractional PDEs on Adaptive Meshes

May 22, 2026, 9:10 AM
25m
McBryde Hall 113 (Virginia Tech)

McBryde Hall 113

Virginia Tech

Minisymposium Talk Hierarchical Low-Rank Approximations: Algorithms and Applications Hierarchical Low-Rank Approximations: Algorithms and Applications

Speaker

Kate Wall (Tufts University)

Description

A preconditioner for solving fractional partial differential equations (PDEs) is presented. In our method the fractional PDE is discretized on an adaptive grid, resulting in a Hierarchical matrix representation. The stiffness matrix has Toeplitz blocks along the diagonal and low-rank approximations off the diagonal. Our preconditioner expands on previously developed methods of conditioning Toeplitz systems with circulant matrices. We show how these methods can be applied cheaply on the adaptive mesh and prove that the spectrum of the resulting system is well-clustered. In order to prove these results, we must take special consideration of how the low-rank blocks perturb the eigenvalues of the Toeplitz block-diagonal system. We validate our results for various fractional orders and inspect any assumptions through numerical tests.

Author

Kate Wall (Tufts University)

Co-authors

Dr James Adler Misha Kilmer (Tufts University) Xiaozhe Hu (Tufts University)

Presentation materials

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