Entropies and Fractionality by Mishura, Yuliya; Ralchenko, Kostiantyn;

Short description:

Entropies and Fractionality: Entropy Functionals, Small Deviations and Related Integral Equations starts with a systematization and calculation of various entropies (Shannon, Rényi and some others) of selected absolutely continuous probability distributions.

Long description:

Entropies and Fractionality: Entropy Functionals, Small Deviations and Related Integral Equations starts with a systematization and calculation of various entropies (Shannon, Rényi, and some others) of selected absolutely continuous probability distributions. The properties of the entropies are analyzed. Subsequently, a related problem is addressed: the computation and investigation of the properties of the entropic risk measure, Entropic Value-at-Risk (EVaR).

Next, the book computes and compares entropy values for the one-dimensional distributions of various fractional Gaussian processes. Special attention is then given to fractional Gaussian noise, where the authors conduct a detailed analysis of the properties and asymptotic behavior of Shannon entropy. Additionally, two alternative entropy functionals are introduced which are more suitable for analytical investigation.

Furthermore, relative entropy functionals for the sum of two independent Wiener processes with drift are considered, and their minimization and maximization are explored. A similar problem is addressed for a mixed fractional Brownian motion (i.e., the sum of a Wiener process and a fractional Brownian motion) with drift. The entropy minimization problem is reduced to a Fredholm integral equation of the second kind, and its unique solvability is thoroughly investigated.

In the final part of the book, the optimization of small deviations for mixed fractional Brownian motion with trend is studied. This problem is closely related to the minimization of relative entropy functionals and is solved using similar techniques and results, which leads to the same class of integral equations. Since solving such equations is challenging due to the presence of an additional singularity in the kernel, efficient numerical methods have been developed to address this difficulty.

Features

• Useful both for mathematicians interested in problems related to entropy and for practitioners, especially specialists in physics, finance, and information theory


• Numerous examples and applications are provided, with rigorous proofs

Table of Contents:

Preface 
Introduction

I Entropies and Entropy Risk Measures Related to Probability Distributions

1 Entropies of Selected Distributions and Their Properties

2 Entropic Risk Measure EVaR in Relation to Selected Distributions

II Entropies and Entropy Functionals Related to Fractional Stochastic Processes

3 Entropies of Fractional Processes

4 Fractional Gaussian Noise: Entropy, Entropy Rate and Alternative Entropy Functionals

5 Evaluation of Extreme Values of the Relative Entropy Functionals Related to the Mixture of Wiener Processes

6 Entropy Optimization for a Mixture of Standard and Fractional Brownian Motions

III Small Deviations of the Mixed Fractional Processes and Numerical Solution of the Related Integral Equations

7 Optimization of Small Deviation for Mixed Fractional Brownian Motion with Trend

8 Approximate Solution of the Integral Equations Involving Kernel with Additional Singularity

A Elements of Calculus, Fractional Calculus and Stochastics

Bibliography

Index