Gauge Theorem for Unbounded Domains

  • Kai Lai Chung
Part of the Progress in Probability book series (PRPR, volume 17)


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


Brownian Motion Green Function Unbounded Domain Markov Property Borel Function 
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© Birkhäuser Boston 1989

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  • Kai Lai Chung

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