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We consider fluctuations in the distribution of critical points - saddle points, minima and maxima - of random gaussian fields. We calculate the asymptotic limits of the two point correlation function for various critical point densities,…

Disordered Systems and Neural Networks · Physics 2011-12-12 Avraham Klein , Oded Agam

This paper establishes the theoretical foundation for statistical applications of an intriguing new type of spatial point processes called critical point processes. These point processes, residing in Euclidean space, consist of the critical…

Probability · Mathematics 2025-07-08 Julien Chevallier , Jean-François Coeurjolly , Rasmus Waagepetersen

We give here a semi-analytic formula for the density of critical values for chi random fields on a general manifold. The result uses Kac-Rice argument and a convenient representation for the Hessian matrix of chi fields, which makes the…

Probability · Mathematics 2024-10-01 Domenico Marinucci , Michele Stecconi

Random fields in nature often have, to a good approximation, Gaussian characteristics. We present the mathematical framework for a new and simple method for investigating the non-Gaussian contributions, based on counting the maxima and…

Statistical Mechanics · Physics 2012-10-26 T. H. Beuman , A. M. Turner , V. Vitelli

Critical points of a scalar quantitiy are either extremal points or saddle points. The character of the critical points is determined by the sign distribution of the eigenvalues of the Hessian matrix. For a two-dimensional homogeneous and…

Fluid Dynamics · Physics 2009-11-13 H. Vogel , W. Mohring

An appropriate model for the random energy landscape in organic glasses is a spatially correlated Gaussian field. We calculated the distribution of the average value of a Gaussian random field in a finite domain. The results of the…

Disordered Systems and Neural Networks · Physics 2013-03-21 S. V. Novikov

We study the energy landscape of a model of a single particle on a random potential, that is, we investigate the topology of level sets of smooth random fields on $\mathbb R^{N}$ of the form $X_N(x) +\frac\mu2 \|x\|^2,$ where $X_{N}$ is a…

Probability · Mathematics 2022-06-29 Antonio Auffinger , Qiang Zeng

Calculation of the distribution of the average value of a Gaussian random field in a finite domain is carried out for different cases. The results of the calculation demonstrate a strong dependence of the width of the distribution on the…

Disordered Systems and Neural Networks · Physics 2015-05-13 S. V. Novikov , M. Van der Auweraer

In this paper we examine isotropic Gaussian random fields defined on $\mathbb R^N$ satisfying certain conditions. Specifically, we investigate the type of a critical point situated within a small vicinity of another critical point, with…

Probability · Mathematics 2023-10-20 Paul Marriott , Weinan Qi , Yi Shen

We analyze the landscape of general smooth Gaussian functions on the sphere in dimension $N$, when $N$ is large. We give an explicit formula for the asymptotic complexity of the mean number of critical points of finite and diverging index…

Probability · Mathematics 2013-12-17 Antonio Auffinger , Gerard Ben Arous

This paper is concerned with the existence of multiple points of Gaussian random fields. Under the framework of Dalang et al. (2017), we prove that, for a wide class of Gaussian random fields, multiple points do not exist in critical…

Probability · Mathematics 2021-02-03 Robert C. Dalang , Cheuk Yin Lee , Carl Mueller , Yimin Xiao

Finding the mean of the total number of stationary points for N-dimensional random Gaussian landscapes can be reduced to averaging the absolute value of characteristic polynomial of the corresponding Hessian. First such a reduction is…

Disordered Systems and Neural Networks · Physics 2007-05-23 Yan V Fyodorov

We obtain formulae for the expected number and height distribution of critical points of smooth isotropic Gaussian random fields parameterized on Euclidean space or spheres of arbitrary dimension. The results hold in general in the sense…

Probability · Mathematics 2016-09-20 Dan Cheng , Armin Schwartzman

We establish Gaussian limits for general measures induced by binomial and Poisson point processes in d-dimensional space. The limiting Gaussian field has a covariance functional which depends on the density of the point process. The general…

Probability · Mathematics 2007-05-23 Yu. Baryshnikov , J. E. Yukich

We investigate the statistics of stationary points in the sum of squares of $N$ Gaussian random fields, which we call a "chi-squared" field. The behavior of such a field at a point is investigated, with particular attention paid to the…

Mathematical Physics · Physics 2016-12-13 Jolyon K. Bloomfield , Stephen H. P. Face , Alan H. Guth , Saarik Kalia , Casey Lam , Zander Moss

In large dimension, we study the asymptotic behavior of the mean number of critical points with index k below a level u for an isotropic centered Gaussian random field defined on a family of subsets of $R^d$ depending on d. We prove the…

Probability · Mathematics 2026-02-10 Jean-Marc Azaïs , Céline Delmas

Gaussian random fields on Euclidean spaces whose variances reach their maximum values at unique points are considered. Exact asymptotic behaviors of probabilities of large absolute maximum of theirs trajectories have been evaluated using…

Probability · Mathematics 2019-04-12 Sergey G. Kobelkov , Vladimir I. Piterbarg

This work aims to extend the existing results on thick points of logarithmic-correlated Gaussian Free Fields to Gaussian random fields that are more singular. To be specific, we adopt a sphere averaging regularization to study…

Probability · Mathematics 2015-12-23 Linan Chen

We determine the asymptotic law for the fluctuations of the total number of critical points of random Gaussian spherical harmonics in the high degree limit. Our results have implications on the sophistication degree of an appropriate…

Probability · Mathematics 2018-01-09 Valentina Cammarota , Igor Wigman

Let $\mathcal{X}= \{X(t) : t \in \mathbb{R}^N \} $ be an isotropic Gaussian random field with real values.In a first part we study the mean number of critical points of $\mathcal{X}$ with index $k$ using random matrices tools.We obtain an…

Probability · Mathematics 2020-11-30 Jean-Marc Azais , Céline Delmas
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