Prove the Markov property for the stochastic process $Y^x_t$

Prove the Markov property for the stochastic process $Y^x_t=xe^{at+bW_t}$

Given a function $u(t,x)=\mathbb{E}[f(Y^*_t)]$ with $Y^*_0=x$. For $s<t$ we have $\mathbb{E}[f(Y^*_t)]=u(t-s,Y^*_s)$ by the Markov property.

My question is, what should be my $f(Y^*_t)$ to prove the Markov property?

asked May 12 '18 at 9:59

FunnyBuzer

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$\begingroup$ did you try just the log? $\endgroup$ – steveo'america Jul 12 '18 at 19:56
$\begingroup$ No, actually I just proved the semigroup property, and as a result the process admits the Markov property. $\endgroup$ – FunnyBuzer Jul 16 '18 at 16:54

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