Relative and Discrete Utility Maximising Entropy

dc.creatorHarańczyk, Grzegorz
dc.creatorSłomczyński, Wojciech
dc.creatorZastawniak, Tomasz
dc.date2007-09-09
dc.date.accessioned2026-07-07T12:05:24Z
dc.date.available2026-07-07T12:05:24Z
dc.descriptionThe notion of utility maximising entropy (u-entropy) of a probability density, which was introduced and studied by Slomczynski and Zastawniak (Ann. Prob 32 (2004) 2261-2285, arXiv:math.PR/0410115 v1), is extended in two directions. First, the relative u-entropy of two probability measures in arbitrary probability spaces is defined. Then, specialising to discrete probability spaces, we also introduce the absolute u-entropy of a probability measure. Both notions are based on the idea, borrowed from mathematical finance, of maximising the expected utility of the terminal wealth of an investor. Moreover, u-entropy is also relevant in thermodynamics, as it can replace the standard Boltzmann-Shannon entropy in the Second Law. If the utility function is logarithmic or isoelastic (a power function), then the well-known notions of the Boltzmann-Shannon and Renyi relative entropy are recovered. We establish the principal properties of relative and discrete u-entropy and discuss the links with several related approaches in the literature.
dc.description19 pages
dc.identifierhttps://arxiv.org/abs/0709.1281
dc.identifierhttp://arxiv.org/abs/0709.1281
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/208369
dc.subjectProbability
dc.subjectStatistical Finance
dc.subject37A50 (Primary) 94A17, 60F25, 91B16, 49N15 (Secondary)
dc.titleRelative and Discrete Utility Maximising Entropy
dc.typetext

Files

Collections