Section 13.6

Excursions and the Brownian bridge

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Problem 13.6.1

Let WW be a standard Wiener process. Show that the conditional density function of W(t)W(t), given that W(u)>0W(u) > 0 for 0<u<t0 < u < t, is g(x)=(x/t)e−x2/(2t),x>0g(x) = (x / t) e^{-x^{2} /(2 t)}, x > 0.

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Problem 13.6.2

Show that the autocovariance function of the Brownian bridge is c(s,t)=min⁡{s,t}−st,0≤s,t≤1c(s, t) = \min \left\{ s, t\right\} -s t, 0 \leq s, t \leq 1.

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Problem 13.6.3

Let WW be a standard Wiener process, and let W^(t)=W(t)−tW(1)\widehat{W}(t) = W(t)-t W(1). Show that {W^(t):0≤t≤1}\left\{ \widehat{W}(t): 0 \leq t \leq 1\right\} is a Brownian bridge.

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Problem 13.6.4

If WW is a Wiener process with W(0)=0W(0) = 0, show that W~(t)=(1−t)W(t/(1−t))\widetilde{W}(t) = (1-t) W(t /(1-t)) for 0≤t<10 \leq t < 1, W~(1)=0\widetilde{W}(1) = 0, defines a Brownian bridge.

Deduce, with help from Corollary (13.4.14), that the probability of the Brownian bridge ever rising above the height m>0m > 0 is e−2m2e^{-2 m^{2}}.

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Problem 13.6.5

Let 0<s<t<10 < s < t < 1. Show that the probability that the Brownian bridge has no zeros in the interval (s,t)(s, t) is (2/π)cos⁡−1(t−s)/[t(1−s)](2 / \pi ) \cos^{-1} \sqrt{(t-s) /[t(1-s)]}.

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