Bicovariograms and Euler characteristic of random fields excursions

Raphaël Lachièze-Rey

Stochastic Processes and their Applications, 2019, vol. 129, issue 11, 4687-4703

Abstract: Let f be a C1 bivariate function with Lipschitz derivatives, and F={x∈R2:f(x)⩾λ} an upper level set of f, with λ∈R. We present a new identity giving the Euler characteristic of F in terms of its three-points indicator functions. A bound on the number of connected components of F in terms of the values of f and its gradient, valid in higher dimensions, is also derived. In dimension 2, if f is a random field, this bound allows to pass the former identity to expectations if f’s partial derivatives have Lipschitz constants with finite moments of sufficiently high order, without requiring bounded conditional densities. This approach provides an expression of the mean Euler characteristic in terms of the field’s third order marginal. Sufficient conditions and explicit formulas are given for Gaussian fields, relaxing the usual C2 Morse hypothesis.

Keywords: Random fields; Euler characteristic; Gaussian processes; Covariograms; Intrinsic volumes; C1,1 functions (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1016/j.spa.2018.12.006

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