How to Understand the Transition Density of Reflected Brownian Motion – Stochastic Processes

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We can see from the above picture the transition density of reflecting Browninan motion is given by (19). As we know, the first part ($2p(t,x,y)$) is the transition density of a Brownian motion (from $x$ to set $y$) and the second part($2p(t,-x,y)$) also is the transition density of a Brownian motion (from $-x$ to set $y$).

  1. My first question is the figure. $p_t(x,E)$ should equal $p(t,x,y)$ + $p(t,-x,y)$, but why in the figure the area of the shadow denoting $p_t(x,E)$ looks larger than the sum of those denoting $p(t,x,y)$ and $p(t,-x,y)$?
  2. Why does the transition density (19) represent the rerflected Brownian motion at barrier 0? The connection among them is not so obvious. In particular, how to explain these two parts? why the sum of these two transition densities represent a modulus Brownian motion, where can I see it?

Best Answer

  1. The solid line in the figure that represents $p(t;-x,y)+p(t;x,y)$ looks qualitatively OK but quantitatively wrong.

  2. Let $y=|x_0|$ and $E\subset[0,\infty)\,.$ Then $p_t(y;E)=P(|x_t|\in E)=P(x_t\in E)+P(-x_t\in E)=\int_Ep(t;x,y)\,dx+\int_Ep(t;-x,y)\,dx\,.$

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