Optimal Stopping of a Hilbert Space Valued Diffusion: An Infinite Dimensional Variational Inequality

A finite horizon optimal stopping problem for an infinite dimensional diffusion X is analyzed by means of variational techniques. The diffusion is driven by a SDE on a Hilbert space H with a non-linear diffusion coefficient σ ( X ) and a generic unbounded operator A in the drift term. When the gain...

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Veröffentlicht in:Applied mathematics & optimization Jg. 73; H. 2; S. 271 - 312
Hauptverfasser: Chiarolla, Maria B., De Angelis, Tiziano
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.04.2016
Springer Nature B.V
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ISSN:0095-4616, 1432-0606
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Zusammenfassung:A finite horizon optimal stopping problem for an infinite dimensional diffusion X is analyzed by means of variational techniques. The diffusion is driven by a SDE on a Hilbert space H with a non-linear diffusion coefficient σ ( X ) and a generic unbounded operator A in the drift term. When the gain function Θ is time-dependent and fulfils mild regularity assumptions, the value function U of the optimal stopping problem is shown to solve an infinite-dimensional, parabolic, degenerate variational inequality on an unbounded domain. Once the coefficient σ ( X ) is specified, the solution of the variational problem is found in a suitable Banach space V fully characterized in terms of a Gaussian measure μ . This work provides the infinite-dimensional counterpart, in the spirit of Bensoussan and Lions (Application of variational inequalities in stochastic control, 1982 ), of well-known results on optimal stopping theory and variational inequalities in R n . These results may be useful in several fields, as in mathematical finance when pricing American options in the HJM model.
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ISSN:0095-4616
1432-0606
DOI:10.1007/s00245-015-9302-8