We present a probabilistic model of the microscopic scenario of dielectric relaxation. We prove a limit theorem for random sums of a special type that appear in the model. By means of the theorem, we show that the presented approach to relaxation phenomena leads to the well known Havriliak-Negami empirical dielectric response provided the physical quantities in the relaxation scheme have heavy-tailed distributions. The mathematical model, presented here in the context of dielectric relaxation, can be applied in the analysis of dynamical properties of other disordered systems.
Niniejsza książka stanowi kontynuację podręcznika, tych samych autorów, przedstawiającego tematykę równań różniczkowych. Tom 1. (Deterministic Modeling, Methods and Analysis) dotyczył teorii klasycznych, natomiast omawiany tu tom 2. prezentuje ideę równań różniczkowych stochastycznych i ich zastosowania w modelowaniu matematycznym. Książka adresowana jest głównie do studentów i doktorantów kierunków interdyscyplinarnych.
EN
The book under review presents advanced tools of stochastic calculus and stochastic differential equations of Ito type, illustrated by several problems and applications. It is a continuation of Volume 1: Deterministic Modeling, Methods and Analysis. It is addressed to interdisciplinary graduate/undergraduate students and to interdisciplinary young researchers.
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A new class of CED systems, providing insight into behaviour of physical disordered materials, is introduced. It includes systems in which the conditionally exponential decay property can be attached to each entity. A limit theorem for the normalized minimum of a CED system is proved. Employing different stable schemes the universal characteristics of the behaviour of such systems are derived.
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In a continuous time random walk (CTRW), a random waiting time precedes each random jump. The CTRW model is useful in physics, to model diffusing particles. Its scaling limit is a time-changed process, whose densities solve an anomalous diffusion equation. This paper develops limit theory and governing equations for cluster CTRW, in which a random number of jumps cluster together into a single jump. The clustering introduces a dependence between the waiting times and jumps that significantly affects the asymptotic limit. Vector jumps are considered, along with oracle CTRW, where the process anticipates the next jump.
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