Functional Analytic Tools for Expected Utility Theory
作者： Kim C. Border
DOI: 10.1007/978-3-642-58199-1_4
关键词:
摘要: Depending on the school of thought, expected utility theory states that choices among lotteries either should be made or actually by maximizing value a real valued function outcomes—a function. This article provides look at some functional analytic results used in theory. I concentrate applications to stochastic dominance relations and revealed preference approach utility. Few these are deep, given underlying tools, but many them not widely known, their combination is novel. In particular, Border [4] extended higher degree relations.
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