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Stopping non-commutative processes

Published online by Cambridge University Press:  24 October 2008

Chris Barnett
Affiliation:
Department of Mathematics, Imperial College, London SW7
Terry Lyons
Affiliation:
Department of Mathematics, Imperial College, London SW7

Extract

Stopping times are a powerful tool in the theory of stochastic processes, so it is natural to ask whether they have a counterpart in the theory of non-commutative processes. This paper is a part answer to that question. We show that the ‘formalism’ of stopping times carries over to a non-commutative context and prove an Optional Stopping Theorem.

Type
Research Article
Copyright
Copyright © Cambridge Philosophical Society 1986

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References

REFERENCES

[1]Barnett, C.. Ph.D. Thesis, Hull University, 1980.Google Scholar
[2]Barnett, C.. Averaging operators in non-commutative Lp Spaces. I. Glasgow Math. J. 24 (1983), 7174.CrossRefGoogle Scholar
[3]Barnett, C., Streater, R. F. and Wilde, I. F.. The Itô-Clifford integral. J. Functional Analysis 48 (1982), 172212.CrossRefGoogle Scholar
[4]Barnett, C., Streater, R. F. and Wilde, I. F.. The Itô-Clifford integral: IV. J. Operator Theory 11 (1984), 255271.Google Scholar
[5]Barnett, C., Streater, R. F. and Wilde, I. F.. Quantum stochastic integrals under standing hypothesis (Preprint).Google Scholar
[6]Cuculescu, I.. Martingales on von Neumann algebras. J. Multivariate Analysis 1, 1971, 1727.CrossRefGoogle Scholar
[7]Dunford, N. and Schwartz, J. T.. Linear Operators, Part I (Wiley, 1958).Google Scholar
[8]Dunford, N. and Schwartz, J. T.. Linear Operators, Part II (Wiley, 1958).Google Scholar
[9]Hudson, R. L.. The strong Markov property for canonical Wiener processes. J. Functional Analysis 34 (1979), 266281.CrossRefGoogle Scholar
[10]Kussmaul, A.. Stochastic Integration and Generalised Martingales. Research Notes in Mathematics (Pitman, 1977).Google Scholar
[11]McShane, E. J.. Stochastic Calculus and Stochastic Models (Academic Press, 1974).Google Scholar