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Motivated by the work of Busse et al. [6] on turbulent convection in a rotating layer, we exploit the long-run behavior for stochastic Lotka-Volterra (LV) systems both in pull-back trajectory and in stationary measure. It is proved…

Dynamical Systems · Mathematics 2016-03-02 Lifeng Chen , Zhao Dong , Jifa Jiang , Lei Niu , Jianliang Zhai

Experimental data suggest that the Earth short time dynamics is related to stochastic fluctuation of its shape. As a first approach to this problem, we derive a toy-model for the motion of a rotating ellipsoid in the framework of stochastic…

Mathematical Physics · Physics 2015-07-23 Etienne Behar , Jacky Cresson , Frédéric Pierret

We treat the case of a flat stress-free surface (i.e., the ground in seismological applications) separating air from a homogeneous, isotropic, solid substratum overlain by a homogeneous, isotropic, solid layer (in contact with the ground)…

Classical Physics · Physics 2007-05-23 Armand Wirgin

This paper has evolved out of our previous work on static stress transfer, where we used the full-space elastostatic Green's tensor to compute the Coulomb stress transfer impact of the Landers earthquake on the Hector Mine event. In this…

Geophysics · Physics 2013-05-01 Musa Maharramov

Amorphous solids exhibit an excess of low-frequency vibrational modes beyond the Debye prediction, contributing to their anomalous mechanical and thermal properties. Although a $\omega^4$ power-law scaling is often proposed for the…

Soft Condensed Matter · Physics 2024-12-10 Surajit Chakraborty , Roshan Maharana , Smarajit Karmakar , Kabir Ramola

Fault-slip rockbursts, triggered by seismic rupture of nearby or remote faults, constitute a significant geohazard during deep underground excavations. Although these events occur frequently in underground projects, their underlying…

Geophysics · Physics 2025-09-10 Wenbo Pan , Zixin Zhang , Qinghua Lei

For earthquake-resistant design, engineering seismologists employ time-history analysis for nonlinear simulations. The nonstationary stochastic method previously developed by Pousse et al. (2006) has been updated. This method has the…

Applications · Statistics 2012-12-18 Aurore Laurendeau , Fabrice Cotton , Luis Fabian Bonilla

We address the problem of solving strongly convex and smooth minimization problems using stochastic gradient descent (SGD) algorithm with a constant step size. Previous works suggested to combine the Polyak-Ruppert averaging procedure with…

Optimization and Control · Mathematics 2025-08-08 Marina Sheshukova , Denis Belomestny , Alain Durmus , Eric Moulines , Alexey Naumov , Sergey Samsonov

The emergence of a power-law distribution for the energy released during an earthquake is investigated in several models. Generic features are identified which are based on the self-affine behavior of the stress field prior to an event.…

The `plate tectonics' is an observed fact and most models of earthquake incorporate that through the frictional dynamics (stick-slip) of two surfaces where one surface moves over the other. These models are more or less successful to…

Statistical Mechanics · Physics 2009-11-10 Srutarshi Pradhan , Bikas K. Chakrabarti , Purussatam Ray , Malay Kanti Dey

Many recent studies have tried to determine the influence of geometry of faults in earthquake mechanics. In this paper, we suggest a new interpretation of the effect of geometry on the stress on a fault. Starting from the representation…

Geophysics · Physics 2019-11-13 P. Romanet , D. Sato , R. Ando

The effect of demographic stochasticity, in the form of Gaussian white noise, in a predator-prey model with one fast and two slow variables is studied. We derive the stochastic differential equations (SDEs) from a discrete model. For…

Dynamical Systems · Mathematics 2018-12-24 Susmita Sadhu , Christian Kuehn

The geometry-based stochastic channel models (GSCM), which can describe realistic channel impulse responses, often rely on the existence of both {\em local} and {\em far} scatterers. However, their visibility from both the base station (BS)…

Signal Processing · Electrical Eng. & Systems 2023-08-22 Anish Pradhan , Harpreet S. Dhillon , Fredrik Tufvesson , Andreas F. Molisch

The random transitions of ion channels between conducting and non-conducting states generate a source of internal fluctuations in a neuron, known as channel noise. The standard method for modeling fluctuations in the states of ion channels…

Neurons and Cognition · Quantitative Biology 2011-04-27 Joshua H. Goldwyn , Nikita S. Imennov , Michael Famulare , Eric Shea-Brown

This paper considers the problem of variable selection allowing for parameter instability. It distinguishes between signal and pseudo-signal variables that are correlated with the target variable, and noise variables that are not, and…

Econometrics · Economics 2024-07-17 Alexander Chudik , M. Hashem Pesaran , Mahrad Sharifvaghefi

Spatiotemporal correlations of the two-dimensional spring-block (Burridge-Knopoff) models of earthquakes with the long-range inter-block interactions are extensively studied by means of numerical computer simulations. The long-range…

Other Condensed Matter · Physics 2009-11-13 Takahiro Mori , Hikaru Kawamura

Frictional heat during earthquake rupture raises the pressure of fault zone fluids and affects the rupture process and its seismic radiation. Here, we investigate the role of two key parameters governing thermal-pressurization of pore…

We study feature selection in high-dimensional regression under two distinct sources of instability: sampling variability and measurement error in the design matrix. Stability Selection addresses the former through sub-sampling and…

Methodology · Statistics 2026-05-05 Mahdi Nouraie , Houying Zhu , Samuel Muller

This paper presents a rigorous mathematical analysis, alongside simulation studies, of a spatially extended stochastic electrophysiology model, the Hodgkin-Huxley model of the squid giant axon being a classical example. Although most…

Probability · Mathematics 2025-02-05 Wai-Tong Louis Fan , Joshua A. McGinnis , Yoichiro Mori

Ordinary and stochastic differential equations (ODEs and SDEs) are widely used to model continuous-time processes across various scientific fields. While ODEs offer interpretability and simplicity, SDEs incorporate randomness, providing…

Methodology · Statistics 2025-05-20 Qingchuan Sun , Susanne Ditlevsen
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