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- W1507815144 abstract "The solution is found to the optimal stopping problem with payoff $$sup_{tau} E(S_{tau} - int_0^{tau} c(X_t)dt),$$ where $S = (S_t)_{t geq 0}$ is the maximum process associated with the one-dimensional time-homogeneous diffusion $X = (X_t)_{t geq 0}$, the function $x mapsto c(x)$ is positive and continuous, and the supremum is taken over all stopping times $tau$ of $X$ for which the integral has finite expectation. It is proved, under no extra conditions, that this problem has a solution; that is, the payoff is finite and there is an optimal stopping time, if and only if the following maximality principle holds: the first-order nonlinear differential equation $$g'(s) = frac{sigma^2 (g(s))L'(g(s))}{2c(g(s))(L(s) - L(g(s)))}$$ admits a maximal solution $s mapsto g_*(s)$ which stays strictly below the diagonal in $mathbb{R}^2$. [In this equation $x mapsto sigma(x)$ is the diffusion coefficient and $x mapsto L(x)$ the scale function of $X$.] In this case the stopping time $$tau_* = inf{t > 0|X_t leq g_*(S_t)}$$ is proved optimal, and explicit formulas for the payoff are given. The result has a large number of applications and may be viewed as the cornerstone in a general treatment of the maximum process." @default.
- W1507815144 created "2016-06-24" @default.
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- W1507815144 date "1998-10-01" @default.
- W1507815144 modified "2023-10-03" @default.
- W1507815144 title "Optimal stopping of the maximum process: the maximality principle" @default.
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- W1507815144 doi "https://doi.org/10.1214/aop/1022855875" @default.
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