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Well Posedness of Operator Valued Backward Stochastic Riccati Equations in Infinite Dimensional Spaces
Optimization and Control · Submitted 25 Apr 2014
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim We prove existence and uniqueness of the mild solution of an infinite dimensional, operator valued, backward stochastic Riccati equation.
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We prove existence and uniqueness of the mild solution of an infinite dimensional, operator valued, backward stochastic Riccati equation. We exploit the regularizing properties of the semigroup generated by the unbounded operator involved in the equation. Then the results will be applied to characterize the value function and optimal feedback law for a infinite dimensional, linear quadratic control problem with stochastic coefficients.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | We prove existence and uniqueness of the mild solution of an infinite dimensional, operator valued, backward stochastic Riccati equation. | result 0.71 | 0.96 | 0.93 | asserted 1.00 |
| s1 | We exploit the regularizing properties of the semigroup generated by the unbounded operator involved in the equation. | method 1.00 | 0.88 | 0.04 | asserted 0.99 |
| s2 | Then the results will be applied to characterize the value function and optimal feedback law for a infinite dimensional, linear quadratic control problem with stochastic coefficients. | contribution 0.42 | 0.70 | 0.19 | asserted 0.75 |
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Original abstract
We prove existence and uniqueness of the mild solution of an infinite dimensional, operator valued, backward stochastic Riccati equation. We exploit the regularizing properties of the semigroup generated by the unbounded operator involved in the equation. Then the results will be applied to characterize the value function and optimal feedback law for a infinite dimensional, linear quadratic control problem with stochastic coefficients.
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