Finite second moment implies . For near any positive , the derivative of is bounded in absolute value by , provided the neighbourhood stays in . The dominated convergence theorem therefore permits differentiation under the expectation:For the expansion, put . Taylor expansion gives as . Also, for ,The inequalities follow by integrating from zero to . Consequently pointwise and its absolute value is bounded by . Another application of the dominated convergence theorem gives the second-moment expansion of a Laplace transform:No third moment is needed for the remainder estimate.
First the exit time has sufficiently many finite moments. Over any interval of length , a Brownian motion increment has probability of absolute size larger than . If the process is still inside , such an increment forces it to exit before the next interval endpoint. Independence of increments at deterministic times therefore givesThus almost surely and all its positive moments are finite. This justifies extracting moments from its transform rather than presupposing them.
For , put . The processis a martingale, being the average of two exponential martingales for Brownian motion. Apply the optional stopping theorem at the bounded time . Since , the stopped values are bounded by . Continuity gives . Letting by the dominated convergence theorem yieldsHence the Laplace transform of symmetric Brownian interval-exit time isThe value at zero follows from almost-sure finiteness. Expanding the reciprocal givesCompare with part (a), now applicable because of the geometric tail bound. The Brownian symmetric interval-exit moments are
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