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De Gruyter eBooks

Chapter 4. Stochastic analysis and quantum mechanics

A. A. Dorogovtsev

Published Dec 31, 1994• 0 citations
Publisher
DOI
10.1515/9783110618143-005

Related papers

Mathematical problems of stochastic quantum mechanics: Harmonic analysis on phase space and quantum geometry

S. Twareque Ali, Eduard Prugovečki

Acta Applicandae Mathematicae•May 1, 1986•26 citations

Synopsis

Belal Ehsan Baaquie

This book studies the mathematical aspect of path integrals and Hamiltonians – which emerge from the formulation of quantum mechanics. The theoretical framework of quantum mechanics provides the mathematical tools for studying both quantum indeterminacy and classical randomness . Many problems arising in quantum mechanics as well as in vastly different fields such as finance and economics can be addressed by the mathematics of quantum mechanics, or quantum mathematics in short. All the topics and subjects in the various chapters have been specifically chosen to illustrate the structure of quantum mathematics, and are not tied to any specific discipline, be it quantum mechanics or stochastic systems. The book is divided into the following six parts, in accordance with the Chapter dependency flowchart given below. Part one addresses the Fundamental principles of path integrals and (Hamiltonian) operators and consists of five chapters. Chapter 2 is on the Mathematical structure of quantum mechanics and introduces the mathematical framework that emerges from the quantum principle. Chapters 3 to 6 discuss the mathematical pillars of quantum mathematics, starting from the Feynman path integral, summarizing Hamiltonian mechanics and introducing path integral quantization. Part two is on Stochastic processes . Stochastic systems are dissipative and are shown to be effectively modeled by the path integral. Chapter 7 is focused on the application of quantum mathematics to classical random systems and to stochastic processes.

Cambridge University Press eBooks•Mar 27, 2014•0 citations

Stochastic mechanics and quantum theory

Sheldon Goldstein

Journal of Statistical Physics•Jun 1, 1987•67 citations

A new formulation of stochastic theory and quantum mechanics

L. de la Peña-Auerbach

Physics Letters A•Sep 1, 1968•27 citations

Stochastic-geometrical analysis to investigate critical behavior for statistical-mechanical models

悟 半田

This work is based on the paper [49].In Chapter 4, we will introduce the quantum Ising model, especially focusing on the graphical representations of it.By using the Suzuki-Trotter transformation and a graphical representation based on the classical Ising model, we will analyze the susceptibility of the quantum Ising model.This is an ongoing work with Kamijima and Sakai and based on the preprint [50].

•Mar 25, 2019•0 citations

The stochastic approach to quantum mechanics

Walter Lehr

•Jan 1, 1976•0 citations
This book studies the mathematical aspect of path integrals and Hamiltonians – which emerge from the formulation of quantum mechanics. The theoretical framework of quantum mechanics provides the mathematical tools for studying both quantum indeterminacy and classical randomness . Many problems arising in quantum mechanics as well as in vastly different fields such as finance and economics can be addressed by the mathematics of quantum mechanics, or quantum mathematics in short. All the topics and subjects in the various chapters have been specifically chosen to illustrate the structure of quantum mathematics, and are not tied to any specific discipline, be it quantum mechanics or stochastic systems. The book is divided into the following six parts, in accordance with the Chapter dependency flowchart given below. Part one addresses the Fundamental principles of path integrals and (Hamiltonian) operators and consists of five chapters. Chapter 2 is on the Mathematical structure of quantum mechanics and introduces the mathematical framework that emerges from the quantum principle. Chapters 3 to 6 discuss the mathematical pillars of quantum mathematics, starting from the Feynman path integral, summarizing Hamiltonian mechanics and introducing path integral quantization. Part two is on Stochastic processes . Stochastic systems are dissipative and are shown to be effectively modeled by the path integral. Chapter 7 is focused on the application of quantum mathematics to classical random systems and to stochastic processes.