Stationary Quantum Markov processes as solutions of stochastic differential equations

Jürgen Hellmich; Claus Köstler; Burkhard Kümmerer

Banach Center Publications (1998)

  • Volume: 43, Issue: 1, page 217-229
  • ISSN: 0137-6934

Abstract

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From the operator algebraic approach to stationary (quantum) Markov processes there has emerged an axiomatic definition of quantum white noise. The role of Brownian motion is played by an additive cocycle with respect to its time evolution. In this report we describe some recent work, showing that this general structure already allows a rich theory of stochastic integration and stochastic differential equations. In particular, if a quantum Markov process is represented by a unitary cocycle, we can reconstruct an additive cocycle ('quantum Brownian motion') and the unitary cocycle ('quantum Markov process') appears as the solution of a certain stochastic differential equation. This establishes a one-to-one correspondence between multiplicative and additive adapted cocycles. As an application of this result we construct stationary Markov processes, driven by squeezed white noise and q-white noise.

How to cite

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Hellmich, Jürgen, Köstler, Claus, and Kümmerer, Burkhard. "Stationary Quantum Markov processes as solutions of stochastic differential equations." Banach Center Publications 43.1 (1998): 217-229. <http://eudml.org/doc/208842>.

@article{Hellmich1998,
abstract = {From the operator algebraic approach to stationary (quantum) Markov processes there has emerged an axiomatic definition of quantum white noise. The role of Brownian motion is played by an additive cocycle with respect to its time evolution. In this report we describe some recent work, showing that this general structure already allows a rich theory of stochastic integration and stochastic differential equations. In particular, if a quantum Markov process is represented by a unitary cocycle, we can reconstruct an additive cocycle ('quantum Brownian motion') and the unitary cocycle ('quantum Markov process') appears as the solution of a certain stochastic differential equation. This establishes a one-to-one correspondence between multiplicative and additive adapted cocycles. As an application of this result we construct stationary Markov processes, driven by squeezed white noise and q-white noise.},
author = {Hellmich, Jürgen, Köstler, Claus, Kümmerer, Burkhard},
journal = {Banach Center Publications},
keywords = {quantum white noise; Brownian motion; stochastic integration; stochastic differential equations; quantum Markov process; stationary Markov processes; squeezed white noise; -white noise},
language = {eng},
number = {1},
pages = {217-229},
title = {Stationary Quantum Markov processes as solutions of stochastic differential equations},
url = {http://eudml.org/doc/208842},
volume = {43},
year = {1998},
}

TY - JOUR
AU - Hellmich, Jürgen
AU - Köstler, Claus
AU - Kümmerer, Burkhard
TI - Stationary Quantum Markov processes as solutions of stochastic differential equations
JO - Banach Center Publications
PY - 1998
VL - 43
IS - 1
SP - 217
EP - 229
AB - From the operator algebraic approach to stationary (quantum) Markov processes there has emerged an axiomatic definition of quantum white noise. The role of Brownian motion is played by an additive cocycle with respect to its time evolution. In this report we describe some recent work, showing that this general structure already allows a rich theory of stochastic integration and stochastic differential equations. In particular, if a quantum Markov process is represented by a unitary cocycle, we can reconstruct an additive cocycle ('quantum Brownian motion') and the unitary cocycle ('quantum Markov process') appears as the solution of a certain stochastic differential equation. This establishes a one-to-one correspondence between multiplicative and additive adapted cocycles. As an application of this result we construct stationary Markov processes, driven by squeezed white noise and q-white noise.
LA - eng
KW - quantum white noise; Brownian motion; stochastic integration; stochastic differential equations; quantum Markov process; stationary Markov processes; squeezed white noise; -white noise
UR - http://eudml.org/doc/208842
ER -

References

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