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The stochastic process {X(t), t 0} is a homogeneous Gaussian process in relation to time and has the infinitesimal parameters: mX(x) 0 and vX(x) 1
The stochastic process {X(t), t 0} is a homogeneous Gaussian process in relation to time
and has the infinitesimal parameters: mX(x) 0 and vX(x) 1 (in order for {X(t), t 0}
to be a Wiener process).
(a) Suppose that X(0) is a random variable uniformly distributed in the interval [1, 1].
Find V [X(t)] for t 0.
(b) We define Y (t) = t
2X(t) for t > 0. Is the process {Y (t), t > 0} Gaussian? Justify
and find the function fY (y;t) if X(0) = 0.
(c) With Z(t) := X3
(t) for t 0. Find the infinitesimal parameters of the process
{Z(t), t 0
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