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October 19
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Matthew Colbrook
(University of Cambridge)
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Beyond the circle: Schiffer's conjecture and computation
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View Abstract
When does the behaviour of a single eigenfunction determine the shape of a
domain? Schiffer’s conjecture predicts that a bounded, simply connected planar
domain must be a disc if it admits a nonconstant Neumann eigenfunction that is
constant on the boundary. I will present joint work with George Stepaniants
disproving this conjecture by constructing a noncircular domain with
real-analytic boundary. The same example disproves the planar Pompeiu
conjecture, connecting spectral geometry to a problem about averages over
translated and rotated domains dating back to 1929. The challenge is not merely
to find a convincing numerical picture, but to prove that an exact domain and
eigenfunction exist. I will explain how conformal mapping, spectral analysis and
a contraction argument turn a numerical candidate into a theorem. The crucial
step is to control everything a finite computation leaves out, including the
infinitely many omitted modes, while rigorously accounting for numerical error.
After finishing this paper, I have started to use AI to assist me in spectral
problems. I will end the talk by drawing on recent work on eigenvalue
certification and the conjectures of Forsythe and Kenig to discuss the changing
role of computers and AI in mathematical discovery. These examples range from
assistance with code to the interactive discovery of proof mechanisms and formal
verification in Lean. I will also discuss our initiative “AIM, explained” for
the human digestion of AI proofs that have appeared in the last month.
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October 26
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Iosif Polterovich Université
de Montréal
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The Faber-Krahn position, convexity, and Gaussian measure
inequalities
Special time: 8am PST, 11am EST, 3pm GMT, 4pm CET
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View Abstract
We say that a convex body is in Faber–Krahn position if it minimizes the first
Dirichlet eigenvalue within its volume-preserving linear orbit. We prove the
uniqueness of this position up to orthogonal transformations, answering a
question of Schmuckenschläger from 2011. The proof combines inequalities for
Gaussian measures with the probabilistic interpretation of the fundamental tone
of a domain. Other spectral applications of Gaussian measure inequalities will
also be discussed, including eigenvalue estimates for intersections and
Minkowski sums of convex bodies.
The talk is based on a joint work with Dmitry Faifman.
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November 2
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TBC
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View Abstract
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November 9
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TBC
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View Abstract
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November 16
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Andrii Khrabustovskii University
of Hradec Králové
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View Abstract
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November 23
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TBC
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View Abstract
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November 30
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Daniel Platt Imperial College
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View Abstract
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December 7
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Alex Cohen New York University
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View Abstract
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