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Springer Functional Analytic Techniques for Diffusion Processes

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Description

Functional Analytic Techniques for Diffusion Processes by Springer provides a clear reference for connecting functional analysis with diffusion processes. This mathematical work bridges the gap between the macroscopic approach of functional analysis, the mesoscopic approach of partial differential equations, and the microscopic approach of probability. By focusing on the mathematics required for complex diffusion processes, the book brings these three distinct fields together. It offers a deep stochastic insight into the study of elliptic boundary value problems through a microscopic lens. This text serves as a comprehensive study of diffusion, making it a valuable resource for those studying applied mathematics and stochastic processes.

Key Features

This Springer monograph provides a direct link between functional analysis and diffusion processes.

The text connects functional analysis, partial differential equations, and probability through a unified mathematical approach.

Readers gain stochastic insight into the study of elliptic boundary value problems via a microscopic approach.

The book serves as an easy-to-read reference for understanding the mathematics behind diffusion processes.

This work integrates macroscopic, mesoscopic, and microscopic perspectives within the field of applied mathematics.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
31 May 2023
Listed Since
03 May 2023

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No barcode data available

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