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Gauge Theorem for Unbounded Domains

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Seminar on Stochastic Processes, 1988

Part of the book series: Progress in Probability ((PRPR,volume 17))

Abstract

Let {xt, t⩾0} be the Brownian motion process in Rd, d⩾1; D a domain (nonempty, open and connected set) in Rd; q a Borel function on D. Put

$${\tau_D} = \inf \left\{ {t > 0:{X_t} \notin D} \right\}, $$

and (1)

$$u(x) = {E^X}\left\{ {{\tau_D} < \infty; \;\exp \left[ {\int\limits_0^\tau {{}^Dq\left( {{X_t}} \right)dt} } \right]} \right\} $$
((1))

where Ex (Px) denotes the expectation (probability) under X0 = x. The function u is called the gauge for (D,q), provided it is well-defined, namely when the integral involved exists. A result of the following form is called gauge theorem: (2) either u ≡ +∞ in D, or u is bounded in D. Let D̄ denote the closure of D in Rđ (no point at infinity). It is easy to show that if it is bounded in D, then the same upper bound serves for u in D̄, so that u is in fact bounded in Rd since it is equal to one in Rđ - D̄. In this case we say that (D,q) is gaugeable.

Research supported in part by AFOSR Grant 85–0330.

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References

  1. K. L. Chung and K. M. Rao, Feynman-Kac functional and the Schrödinger equation, Seminar in Stochastic Processes 1(1981), 1–29.

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© 1989 Birkhäuser Boston

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Chung, K.L. (1989). Gauge Theorem for Unbounded Domains. In: Çinlar, E., Chung, K.L., Getoor, R.K., Glover, J. (eds) Seminar on Stochastic Processes, 1988. Progress in Probability, vol 17. Birkhäuser Boston. https://doi.org/10.1007/978-1-4612-3698-6_4

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  • DOI: https://doi.org/10.1007/978-1-4612-3698-6_4

  • Publisher Name: Birkhäuser Boston

  • Print ISBN: 978-1-4612-8217-4

  • Online ISBN: 978-1-4612-3698-6

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