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We develop an asymptotic analysis of target fluxes in the three-dimensional (3D) narrow capture problem. The latter concerns a diffusive search process in which the targets are much smaller than the size of the search domain. The small…

Statistical Mechanics · Physics 2020-11-18 Paul C Bressloff

In this paper we use singular perturbation theory to solve the 2D narrow capture problem for a set of partially accessible targets $\calU_k$, $k=1,\ldots,N$, in a bounded domain $\Omega\subset \R^2$. In contrast to previous models of narrow…

Statistical Mechanics · Physics 2025-04-08 Paul C Bressloff

A general topic of current interest is the analysis of diffusion problems in singularly perturbed domains with small interior targets or traps (the narrow capture problem). One major application is to intracellular diffusion, where the…

Statistical Mechanics · Physics 2022-04-13 Paul C. Bressloff

The narrow escape problem consists of deriving the asymptotic expansion of the solution of a drift-diffusion equation with the Dirichlet boundary condition on a small absorbing part of the boundary and the Neumann boundary condition on the…

Analysis of PDEs · Mathematics 2010-03-12 Habib Ammari , Kostis Kalimeris , Hyeonbae Kang , Hyundae Lee

A hybrid asymptotic-numerical method is presented for obtaining the full probability distribution of capture times of a random walker by multiple small traps located inside a bounded two-dimensional domain with reflective boundaries. As…

Statistical Mechanics · Physics 2016-11-02 Alan E. Lindsay , Ryan T. Spoonmore , Justin C. Tzou

We consider a particle undergoing diffusion with stochastic resetting in a bounded domain $\calU\subset \R^d$ for $d=2,3$. The domain is perforated by a set of partially absorbing targets within which the particle may be absorbed at a rate…

Statistical Mechanics · Physics 2021-10-14 Paul C. Bressloff , Ryan D. Schumm

Boundary value problems for diffusion in singularly perturbed domains (domains with small holes removed from the interior) is a topic of considerable current interest. Applications include intracellular diffusive transport and the spread of…

Analysis of PDEs · Mathematics 2022-04-06 Paul C Bressloff

In this paper we use asymptotic analysis to determine the steady-state mean number of resources in each of $N$ small interior targets within a three-dimensional bounded domain. The accumulation of resources is based on multiple rounds of…

Statistical Mechanics · Physics 2020-10-26 Paul C. Bressloff

In many stochastic models, the observables of interest are naturally encoded in double transforms (e.g., Laplace transforms) that couple spatial and temporal variables. Notably, the double transform often provides the only analytically…

Probability · Mathematics 2026-05-21 Giampaolo Cristadoro , Gaia Pozzoli

We derive an asymptotic expansion for two-dimensional displacement field associated to thin elastic inhomogeneities having no uniform thickness. Our derivation is rigorous and based on layer potential techniques. We extend these techniques…

Analysis of PDEs · Mathematics 2016-01-27 Jihene Lagha , Habib Zribi

The Neumann problem in two-dimensional domain with a narrow slit is studied. The width of the slit is a small parameter. The complete asymptotic expansion for the eigenvalue of the perturbed problem converging to a simple eigenvalue of the…

Mathematical Physics · Physics 2007-05-23 R. Gadyl'shin , Arlen M. Il'in

We consider the asymptotic solutions of an interface problem corresponding to an elliptic partial differential equation with Dirich- let boundary condition and transmission condition, subject to the small geometric perturbation and the high…

Analysis of PDEs · Mathematics 2017-08-16 Jingrun Chen , Ling Lin , Zhiwen Zhang , Xiang Zhou

The filtering distribution is a time-evolving probability distribution on the state of a dynamical system, given noisy observations. We study the large-time asymptotics of this probability distribution for discrete-time, randomly…

Dynamical Systems · Mathematics 2014-11-25 D. Sanz-Alonso , A. M. Stuart

Variational inference is a general framework to obtain approximations to the posterior distribution in a Bayesian context. In essence, variational inference entails an optimization over a given family of probability distributions to choose…

Statistics Theory · Mathematics 2025-07-24 Janis Keck

This paper investigates a diffusion process in a narrow tubular domain with reflecting boundary conditions, where the geometry serves as a singular perturbation of an underlying graph in $\mathbb{R}^2$ or $\mathbb{R}^3$. The construction…

Probability · Mathematics 2025-09-04 Wen-Tai Hsu

Understanding rare events is critical across domains ranging from signal processing to reliability and structural safety, extreme-weather forecasting, and insurance. The analysis of rare events is a computationally challenging problem,…

Probability · Mathematics 2025-11-18 Anya Katsevich , Alexander Katsevich

We consider the asymptotic behavior of the multidimensional Laplace-type integral with a perturbed phase function. Under suitable assumptions, we derive a higher-order asymptotic expansion with an error estimate, generalizing some previous…

Classical Analysis and ODEs · Mathematics 2025-12-11 Ikki Fukuda , Yoshiki Kagaya , Yuki Ueda

The problem of the time required for a diffusing molecule, within a large bounded domain, to first locate a small target is prevalent in biological modeling. Here we study this problem for a small spherical target. We develop uniform in…

Biological Physics · Physics 2013-08-06 Samuel A. Isaacson , Jay Newby

We derive the asymptotic expansion (asymptotics with an arbitrary number of error terms) of k-regular graphs by applying the Laplace method on a recent exact formula from Caizergues and de Panafieu (2023). We also deduce the asymptotic…

Combinatorics · Mathematics 2024-09-06 Élie de Panafieu

Narrow escape and narrow capture problems which describe the average times required to stop the motion of a randomly travelling particle within a domain have applications in various areas of science. While for general domains, it is known…

Statistical Mechanics · Physics 2022-01-14 Jason Gilbert , Alexei Cheviakov
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