A Quick Explanation of the Large Deviation Principle

Written by classpath | Published 2025/03/05
Tech Story Tags: large-deviation-principle | large-deviation-techniques | exit-problem | non-markov-processes | what-is-a-non-markov-process | ldp-explained | what-is-the-ldp | path-dependency

TLDRIn this paper, Large Deviations techniques are widely used. Here, by the Large Deviation Principle (LDP) we mean the following asymptotic behaviour of measures.via the TL;DR App

Table of Links

Abstract and 1 Introduction

1.1 State of the art

1.2 Some remarks on dynamics and initial condition

1.3 Outline of the paper

1.4 List of notations

2 Large Deviation Principle

2.1 Establishing the LDP for the SID

2.2 Results related to the LDP

2.3 Compactness results

3 Exit-time

3.1 Auxiliary results

3.2 Proof of the main theorem

3.3 Proofs of auxiliary lemmas

4 Generalization and References

2 Large Deviation Principle

In this paper, Large Deviations techniques are widely used. Here, by the Large Deviation Principle (LDP) we mean the following asymptotic behaviour of measures.

where I : B → [0, ∞] is a lower-semicontinuous function (this property defines rate function) whose level sets {x : I(x) ≤ α} are compact subsets of B for any 0 ≤ α < ∞ (which means by definition that the rate function is good).

For more information about LDP, see [DZ10]. Note that our definition of LDP by its appearance deviates from the conventional one, but they are equivalent up to multiplication of the “conventional” rate function by 1/2.

This paper is available on arxiv under CC BY-SA 4.0 DEED license.

Authors:

(1) Ashot Aleksian, Université Jean Monnet, Institut Camille Jordan, 23, rue du docteur Paul Michelon, CS 82301, 42023 Saint-Étienne Cedex 2, France;

(2) Aline Kurtzmann, Université de Lorraine, CNRS, Institut Elie Cartan de Lorraine UMR 7502, Vandoeuvre-lès-Nancy, F-54506, France;

(3) Julian Tugaut, Université Jean Monnet, Institut Camille Jordan, 23, rue du docteur Paul Michelon, CS 82301, 42023 Saint-Étienne Cedex 2, France.


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