Assume that X(t) and Y(t) are two independent standard Brownian motion processes satisfying X(0) = 0 and Y(0) = 0. Let M(t) = max0 z, X(t) ≤ x) = 1 − Þ ·0 (22-72), z > 0, x 0. [Hint: Apply Reflection Principle for (i).]

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Assume that X(t) and Y(t) are two independent standard Brownian
motion processes satisfying X(0) = 0 and Y(0) = 0. Let M(t) = max0<u<t X(u).
(i) Show that
P(M(t) > z, X(t) ≤ x) = 1 − Þ
·0 (22-72),
z > 0, x <z,
where denotes the cumulative distribution function of a standard normal.
(ii) Find the joint probability density function, fм(t), x(t) (z, x), of M(t) and X(t)
fort > 0.
[Hint: Apply Reflection Principle for (i).]
Transcribed Image Text:Assume that X(t) and Y(t) are two independent standard Brownian motion processes satisfying X(0) = 0 and Y(0) = 0. Let M(t) = max0<u<t X(u). (i) Show that P(M(t) > z, X(t) ≤ x) = 1 − Þ ·0 (22-72), z > 0, x <z, where denotes the cumulative distribution function of a standard normal. (ii) Find the joint probability density function, fм(t), x(t) (z, x), of M(t) and X(t) fort > 0. [Hint: Apply Reflection Principle for (i).]
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