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arxiv: 1209.0639 · v3 · pith:D2OHRRGFnew · submitted 2012-09-04 · 🧮 math.DG · math.AP· math.PR

Random Morse functions and spectral geometry

classification 🧮 math.DG math.APmath.PR
keywords randomfunctionvarepsilondetermineddistributionexpectedfunctionsgaussian
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We study random Morse functions on a Riemann manifold $(M^m,g)$ defined as a random Gaussian weighted superpositions of eigenfunctions of the Laplacian of the metric $g$. The randomness is determined by a fixed Schwartz function $w$ and a small parameter $\varepsilon>0$. We first prove that as $\varepsilon\to 0$ the expected distribution of critical values of this random function approaches a universal measure on $\mathbb{R}$, independent of $g$, that can be explicitly described in terms the expected distribution of eigenvalues of the Gaussian Wigner ensemble of random $(m+1)\times (m+1)$ symmetric matrices. In contrast, we prove that the metric $g$ and its curvature are determined by the statistics of the Hessians of the random function for small $\varepsilon$.

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