Let us consider the PDE with terminal condition In order to apply the representation theorem, we observe

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Let us consider the PDE


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with terminal condition


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In order to apply the representation theorem, we observe that \(r=0\), \((x t)=\), and image text in transcribed, so that the underlying stochastic process boils down to a martingale described by


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Therefore, conditional on \(X(t)=x\), integration over the time interval \(\left[\begin{array}{ll}t, & T\end{array}\right]\) yields 

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where image text in transcribed. Therefore,


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It is easy to check that this function satisfies the PDE and the terminal condition.

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