Distribuation Max - Min of Brownian motion

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I'm looking for the distribuation of $M_X(t) - m_X(t)$ of the brownian motion and not the joint distribuation. where $m_X(t) = \min\limits_{0\leq s\leq t}X(s)$ and $M_X(t) = \max\limits_{0\leq s\leq t}X(s)$. Any help would be greatly appreciated.

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W. Feller [The asymptotic distribution of the range of sums of independent random variables. Ann. Math. Statistics, 22 :427–432, 1951] provides this density as the sum of a series.

The range $R_t$ at time $t$ is distributed like $\sqrt{t}R_1$ and the density of $R_1$ is the function $f$ defined on $(0,+\infty)$ by $$ f(x)=8\sum_{n=1}^\infty(-1)^{n+1}n^2\varphi(nx), $$ where $\varphi$ denotes the standard normal PDF. As noted by Feller: "In this form it is not even obvious that the function is positive".