10.3 Let fXt; t $ 0g be a continuous-time continuous-state Markov process whose transition PDF fx; t;...
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10.3 Let fXðtÞ; t $ 0g be a continuous-time continuous-state Markov process whose transition PDF fðx; t; x0; t0Þ satisfies the following forward Kolmogorov equation: @f @t 5 2 @ @x ðaðt; xÞfÞ 1 1 2 @2 @x2 ðbðt; xÞfÞ Assume that aðt; xÞ 5 aðtÞ and bðt; xÞ 5 bðtÞ. Show that the forward Kolmogorov equation can be reduced to @f @t 5 1 2 @2 f @x2 Also, show that the corresponding distribution is Gaussian.
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