The Brownian reflection principle gives, for ,
For a standard normal random variable , this is also . Thus the inverse-square Gaussian law of Brownian first passage is
In particular, is finite almost surely.
The Brownian motions are independent, so conditional on , the ordinate has the same distribution as , with a standard normal independent of the random time. By Brownian scaling and the hitting-time identity,
The last equality uses symmetry of and independence of : inserting the independent sign of does not change the distribution of the numerator. Therefore
For completeness, the ratio has density , where is the standard normal density. The scaled exit ordinate has density .
Translate the horizontal coordinate by . Then is a standard Brownian motion starting at zero, and continuity identifies with its first-passage time to . The vertical coordinate remains an independent standard Brownian motion starting at zero. Part (a) therefore gives the Cauchy exit law from a Brownian half-plane:
The TeX transcription's initial value and later are both corrected here to the PDF's and .
Start the planar Brownian motion at and stop at . The complex exponential is holomorphic with nonzero derivative. By conformal invariance of planar Brownian motion, the process , run on its conformal Brownian clock
is planar Brownian motion started at , until its first exit from the unit disk. The clock is strictly increasing before , and almost surely. It is legitimate to use the exponential although it is not globally injective: the Brownian coordinate brackets depend locally on the nonzero derivative, and the clock construction gives the stopped planar Brownian law. Before , ; at it equals one. Hence the disk exit time in the new clock is exactly .
The continuous lifted argument of this path, starting from angle zero, is . Its total argument at exit is therefore , which has distribution by part (b). If the winding count records only completed integer turns, it differs from by a remainder with . If fractional turns are retained, that remainder is zero. In either convention, since ,
The first term has distribution for every , and the second tends to zero deterministically in absolute value as . Symmetry of the Cauchy distribution removes the minus sign, so Slutsky theorem gives the small-radius Brownian winding law:

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