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Theory of SSB Representation of Preferences Revised

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00510321" target="_blank" >RIV/67985556:_____/19:00510321 - isvavai.cz</a>

  • Alternative codes found

    RIV/61384399:31160/19:00054889

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Theory of SSB Representation of Preferences Revised

  • Original language description

    A continuous skew-symmetric bilinear (SSB) representation of preferences has recently been proposed in a topological vector space, assuming a weaker notion of convexity of preferences than in the classical (algebraic) case. Equipping a linear vector space with the so-called inductive linear topology, we derive the algebraic SSB representation on a topological basis, thus weakeningnthe convexity assumption. Such a unifying approach to SSB representation permits also to fully discuss the relationship of topological and algebraic axioms of continuity, and leads to a stronger existence result for a maximal element. By applying this theory to probability measures we show the existence of a maximal preferred measure for an infinite set of pure outcomes, thus generalizing all available existence theorems in this context.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10101 - Pure mathematics

Result continuities

  • Project

    <a href="/en/project/GA17-08182S" target="_blank" >GA17-08182S: Mathematical Modelling of Intransitive Preferences</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 22nd Czech-Japan Seminar on Data Analysis and Decision Making (CJS’19)

  • ISBN

    978-80-7378-400-3

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    145-149

  • Publisher name

    MatfyzPress

  • Place of publication

    Praha

  • Event location

    Nový Světlov

  • Event date

    Sep 25, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article