<span>White Noise Calculus is a distribution theory on Gaussian space, proposed by T. Hida in 1975. This approach enables us to use pointwise defined creation and annihilation operators as well as the well-established theory of nuclear space.This self-contained monograph presents, for the first time
White Noise on Bialgebras (Lecture Notes in Mathematics, 1544)
β Scribed by Michael SchΓΌrmann
- Publisher
- Springer
- Year
- 1993
- Tongue
- English
- Leaves
- 152
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Stochastic processes with independent increments on a group are generalized to the concept of "white noise" on a Hopf algebra or bialgebra. The main purpose of the book is the characterization of these processes as solutions of quantum stochastic differential equations in the sense of R.L. Hudsonand K.R. Parthasarathy. The notes are a contribution to quantum probability but they are also related to classical probability, quantum groups, and operator algebras. The Az ma martingales appear as examples of white noise on a Hopf algebra which is a deformation of the Heisenberg group. The book will be of interest to probabilists and quantum probabilists. Specialists in algebraic structures who are curious about the role of their concepts in probablility theory as well as quantum theory may find the book interesting. The reader should havesome knowledge of functional analysis, operator algebras, and probability theory.
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<span>βThis book is devoted to the study of Tomita's observable algebras, their structure and applications.<br>It begins by building the foundations of the theory of T*-algebras and CT*-algebras, presenting the major results and investigating the relationship between the operator and vector represen
<span>βThis book is devoted to the study of Tomita's observable algebras, their structure and applications.<br>It begins by building the foundations of the theory of T*-algebras and CT*-algebras, presenting the major results and investigating the relationship between the operator and vector represen