Let and . On the annulus , its gradient and Laplace operator areThus is a harmonic function there. The stopped Itô formula givesThe sum of the squared coefficients is before . The Itô isometry therefore makes the stochastic term a true square-integrable martingale on every finite interval. Continuity prevents overshoot at exit, so . This proves the required bounded martingale property.
Before taking the terminal expectation, prove that is finite. Set . The Itô formula for shows thatis a martingale, since its stopped stochastic integrands are bounded. Taking expectations yieldsThe monotone convergence theorem gives . Hence almost surely.
The bounded convergence theorem, equivalently the optional stopping theorem applied to this bounded martingale, gives . The two exit events partition the sample space up to a null set. Writing ,Solving gives the planar Brownian annulus hitting probability
Fix an outer radius . By continuity, reaching zero before radius requires first reaching every radius . The planar Brownian annulus hitting probability from (i) therefore impliesThus for every fixed .
On any continuous sample path that reaches zero in finite time, the radius has a finite maximum before that time. There is therefore some integer for which zero is reached before radius . ConsequentlyEvery event on the right has probability zero, soThis proves that planar Brownian motion avoids a fixed point even though it can reach arbitrarily small positive radii.
First suppose . For every , the planar Brownian annulus hitting probability givesHence almost surely. This uses increasing outer radii; letting the inner radius tend to zero instead proves the different claim in part (ii).
For , retain the definition . The first case shows that radius is reached in finite time. Starting there, the Strong Markov property of Brownian motion and the disk-exit argument show that radius is subsequently reached in finite time. Thus the infimum over positive hitting times is finite in this case as well. Altogether,The conclusion can also be made simultaneous in all : intersect the probability-one events for positive rational radii, then use continuity to cross each intermediate radius.
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