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Springer - Duality for Markov Processes: A Lie Algebraic Approach

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Description

Expand your mathematical research with Duality for Markov Processes: A Lie Algebraic Approach. Part of the prestigious Grundlehren der mathematischen Wissenschaften series (volume 365), this text from Springer provides a specialized look at mathematical structures through a Lie algebraic lens. This book serves as a valuable resource for scholars and students working within the field of algebra and stochastic processes. By focusing on the relationship between duality and Lie algebras, it offers a structured way to approach complex mathematical problems. Whether you are conducting deep academic research or studying advanced algebraic theory, this volume provides the formal framework necessary for high-level mathematical study. As part of the respected Springer catalog, this publication meets the rigorous standards expected in the science, nature, and maths disciplines. It is an essential addition to any academic library focused on advanced mathematics and algebraic theory.

Key Features

Part of the Grundlehren der mathematischen Wissenschaften series, specifically volume 365.

Published by Springer, a leading name in academic and scientific literature.

Focuses on the application of Lie algebraic approaches to Markov processes.

Categorized under Mathematics and Algebra for targeted academic study.

Provides a formal mathematical framework for researchers in the field.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
03 January 2026
Listed Since
24 July 2025

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