Determine the covariance functions for the stochastic processes (a) U(t) = e^{-t}B(e^{2t}), for t ? 0. (b) V(t) = (1 - t)B(t/(1 - t)), for 0 < t < 1. (c) W(t) = tB(1/t), with W(0) = 0. B(t) is standard Brownian motion.
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(a) For the process U(t) = e^(-B(e^2)), the covariance function is given by: Cov[U(t), U(s)] = E[U(t)U(s)] - E[U(t)]E[U(s)] Since B(t) is a standard Brownian motion, E[B(t)] = 0. Show more…
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Let {B(t),t >= 0} be standard Brownian Motion. For 0 < t < 1, the conditional distribution of B(t) given B(1) = x is gaussian with mean and variance (ÎĽ, v) given by: (A) (0, t) (B) (x/(1+t^2), 1-t) (C) (0, 1) (D) (x, 1-t) (E) (xt, t)
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