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This book provides a systemic treatment of time-dependent strong Markov processes with values in a Polish space. It describes its generators and the link with stochastic differential equations in infinite dimensions. In a unifying way, where the square gradient operator is employed, new results for backward stochastic differential equations and long-time behavior are discussed in depth. This mathematical material finds its applications in several branches of the scientific world among which mathematical physics, hedging models in financial mathematics, population models.
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