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 (?, v) given by: (A) (0, t) (B) (x / (1 + t^2), 1 - t) (C) (0, 1) (D) (x, 1 - t) (E) (xt, t)
Added by Victor Manuel M.
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Second, we are given that B(1) = €. This means that at time t=1, the value of the process is €. Now, we want to find the conditional distribution of B(t) given B(1) = €. This is a standard result in the theory of Brownian motion. The conditional distribution of Show more…
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