We consider the problem of maximizing expected utility from consumption in a constrained incomplete semimartingale market with a random endowment process, and establish a general existence and uniqueness result using techniques from convex duality. The notion of ́asymptotic elasticitý of Kramkov and Schachermayer is extended to the time-dependent case. By imposing no smoothness requirements on the utility function in the temporal argument, we can treat both pure consumption and combined consumption-terminal wealth problems in a common framework. To make the duality approach possible, we provide a detailed characterization of the enlarged dual domain which is reminiscent of the enlargement of double-struck L sign l 1 to its topological bidual (double-struck L sign ∞)*, a space of finitely additive measures. As an application, we treat a constrained Itô process market model, as well as a "totally incomplete" model.
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Karatzas, I., & Žitković, G. (2003). Optimal consumption from investment and random endowment in incomplete semimartingale markets. Annals of Probability, 31(4), 1821–1858. https://doi.org/10.1214/aop/1068646367