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Recently, Hammond and Sheffield introduced a model of correlated random walks that scale to fractional Brownian motions with long-range dependence. In this paper, we consider a natural generalization of this model to dimension $d\geq 2$. We…

Probability · Mathematics 2015-04-21 Hermine Biermé , Olivier Durieu , Yizao Wang

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 study invariance principles and convergence to a Gaussian limit for stochastic series of the form $S(c,Z)=\sum_{m=1}^{\infty }\sum_{\alpha _{1}<...<\alpha _{m}}c(\alpha _{1},...,\alpha _{m})\prod_{i=1}^{m}Z_{\alpha _{i}}$ where $Z_{k}$,…

Probability · Mathematics 2015-10-14 Vlad Bally , Lucia Caramellino

For the Gaussian free field on a $(d + 1)$-regular tree with $d \geq 2$, we study the percolative properties of its level sets in the critical and the near-critical regime. In particular, we show the continuity of the percolation…

Probability · Mathematics 2023-02-07 Jiří Černý , Ramon Locher

Isotropic Gaussian random fields on the sphere are characterized by Karhunen-Lo\`{e}ve expansions with respect to the spherical harmonic functions and the angular power spectrum. The smoothness of the covariance is connected to the decay of…

Probability · Mathematics 2015-10-26 Annika Lang , Christoph Schwab

We study the landscape complexity of the Hamiltonian $X_N(x) +\frac\mu2 \|x\|^2,$ where $X_{N}$ is a smooth Gaussian process with isotropic increments on $\mathbb R^{N}$. This model describes a single particle on a random potential in…

Probability · Mathematics 2023-07-26 Antonio Auffinger , Qiang Zeng

We study the input-entropy-constrained Gaussian channel capacity problem in the asymptotic high signal-to-noise ratio (SNR) regime. We show that the capacity-achieving distribution as SNR goes to infinity is given by a discrete Gaussian…

Information Theory · Computer Science 2026-01-16 Adway Girish , Shlomo Shamai , Emre Telatar

This is a detailed analysis of invariant measures for one-dimensional dynamical systems with random switching. In particular, we prove smoothness of the invariant densities away from critical points and describe the asymptotics of the…

Dynamical Systems · Mathematics 2015-10-28 Yuri Bakhtin , Tobias Hurth , Jonathan C. Mattingly

This paper studies large deviation principles and weak convergence, both at the level of finite-dimensional distributions and in functional form, for a class of continuous, isotropic, centered Gaussian random fields defined on the unit…

Probability · Mathematics 2026-01-09 Simmaco Di Lillo , Claudio Macci , Barbara Pacchiarotti

This paper is devoted to the problem of sampling Gaussian fields in high dimension. Solutions exist for two specific structures of inverse covariance : sparse and circulant. The proposed approach is valid in a more general case and…

Computation · Statistics 2011-05-31 F. Orieux , O. Féron , J. -F. Giovannelli

In the analysis of the on-axis intensity for a highly focused optical field it is highly desirable to deal with effective relations aimed at characterizing the field behavior in a rather simple fashion. Here, a novel and adequate measure…

Optics · Physics 2020-09-23 R. Martinez-Herrero , A. Carnicer , I. Juvells , A. S. Sanz

We study charge transport through a chain of quantum dots. The dots are fully coherent among each other and weakly coupled to metallic electrodes via the dots at the interface, thus modelling a molecular wire. If the non-local Coulomb…

Mesoscale and Nanoscale Physics · Physics 2009-11-11 J. Aghassi , A. Thielmann , M. H. Hettler , G. Schön

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

For an ergodic Brownian diffusion with invariant measure $\nu$, we consider a sequence of empirical distributions ($\nu$n) n$\ge$1 associated with an approximation scheme with decreasing time step ($\gamma$n) n$\ge$1 along an adapted…

Probability · Mathematics 2018-10-09 I Honoré

We report simultaneous measurement of shot noise and dc transport in a quantum point contact as a function of source-drain bias, gate voltage, and in-plane magnetic field. Shot noise at zero field exhibits an asymmetry related to the 0.7…

Mesoscale and Nanoscale Physics · Physics 2012-11-19 L. DiCarlo , Y. Zhang , D. T. McClure , D. J. Reilly , C. M. Marcus , L. N. Pfeiffer , K. W. West

We study the weak convergence (in the high-frequency limit) of the frequency components associated with Gaussian-subordinated, spherical and isotropic random fields. In particular, we provide conditions for asymptotic Gaussianity and we…

Probability · Mathematics 2013-03-12 Domenico Marinucci , Giovanni Peccati

We present a theoretical framework for characterizing incremental stability of nonlinear stochastic systems perturbed by compound Poisson shot noise and finite-measure L\'{e}vy noise. For each noise type, we compare trajectories of the…

Systems and Control · Electrical Eng. & Systems 2022-06-13 SooJean Han , Soon-Jo Chung

We describe a field-theoretic approach to calculate quantum shot noise in nanoscale conductors from first principles. Our starting point is the second-quantization field operator to calculate shot noise in terms of single quasi-particle…

Mesoscale and Nanoscale Physics · Physics 2009-11-07 Yu-Chang Chen , Massimiliano Di Ventra

We investigate the well-posedness and long-time behavior of a general continuum neural field model with Gaussian noise on possibly unbounded domains. In particular, we give conditions for the existence of invariant probability measures by…

Probability · Mathematics 2025-05-21 Anna-Mariya Otsetova , Jonas M. Tölle

The paper proves the Strong Law of Large Numbers for integral functionals of random fields with unboundedly increasing covariances. The case of functional data and increasing domain asymptotics is studied. Conditions to guarantee that the…

Probability · Mathematics 2020-11-11 Illia Donhauzer , Andriy Olenko , Andrei Volodin