The rectangle lower-bound conjecture for the Cauchy-process spectral gap

Let DR2D\subset\mathbb{R}^2 be a bounded convex domain symmetric with respect to both coordinate axes. Let RR be the smallest rectangle containing DD whose sides are parallel to the coordinate axes. For 0<α<20<\alpha<2, let λ1\lambda_1 and λ2\lambda_2 denote the first two eigenvalues of the symmetric α\alpha-stable process killed upon exiting the indicated domain. Rectangle lower-bound conjecture.

λ2(R)λ1(R)λ2(D)λ1(D).\lambda_2(R)-\lambda_1(R)\leq\lambda_2(D)-\lambda_1(D).

This is proposed as a sharp lower bound for the spectral gap in the symmetric stable-process setting. The source gives no resolution for 0<α<20<\alpha<2; it contrasts this lower-bound question with the Brownian-motion case and discusses related stable-process inequalities.

Sources & referencesView supporting material

Primary source

Rodrigo Banuelos and Tadeusz Kulczycki, “Eigenvalue gaps for the Cauchy process and a Poincaré inequality”, arXiv:math/0408267 (2004).

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