随机排序多面体和流动多面体上的邻接关系

IF 2.2 4区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Mathematical Psychology Pub Date : 2023-06-01 DOI:10.1016/j.jmp.2023.102768
Jean-Paul Doignon , Kota Saito
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引用次数: 4

摘要

多选多点(MCP)是Block和Marschak(1960)提出的随机效用模型的预测范围。Fishburn(1998)对当时的随机实用新型的发现进行了很好的调查。对MCP的完整表征是Falmagne(1978)的一项非凡成就。为了得到Falmagne定理的更具启发性的证明,Fiorini(2004)将MCP与一些非循环网络的流多面体同化。然而,除了Suck(2002)对小平面的认识外,MCP的几何结构显然没有得到太多研究。我们刻画了顶点的邻接性和小平面的邻接性。我们对MCP边缘的描述有助于理解Chang、Narita和Saito(2022)以及Turansick(2022)等经济学论文中的最新发现。此外,我们关于邻接的结果也适用于任何非循环网络的流多面体。特别是,它们不仅适用于MCP,还适用于Davis Stober、Doignon、Fiorini、Glineur和Regenwetter(2018)引入的三个多面体,作为弱阶多面体、区间阶多面体和半阶多面体的扩展公式(其他模型的预测范围,见Fishburn和Falmagne,1989,以及Marley和Regenwitter,2017)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Adjacencies on random ordering polytopes and flow polytopes

The Multiple Choice Polytope (MCP) is the prediction range of a random utility model due to Block and Marschak(1960). Fishburn(1998) offers a nice survey of the findings on random utility models at the time. A complete characterization of the MCP is a remarkable achievement of Falmagne (1978). To derive a more enlightening proof of Falmagne Theorem, Fiorini(2004) assimilates the MCP with the flow polytope of some acyclic network. However, apart from a recognition of the facets by Suck(2002), the geometric structure of the MCP was apparently not much investigated. We characterize the adjacency of vertices and the adjacency of facets. Our characterization of the edges of the MCP helps understand recent findings in economics papers such as Chang, Narita and Saito(2022) and Turansick(2022). Moreover, our results on adjacencies also hold for the flow polytope of any acyclic network. In particular, they apply not only to the MCP, but also to three polytopes which Davis-Stober, Doignon, Fiorini, Glineur and Regenwetter (2018) introduced as extended formulations of the weak order polytope, interval order polytope and semiorder polytope (the prediction ranges of other models, see for instance Fishburn and Falmagne, 1989, and Marley and Regenwetter, 2017).

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来源期刊
Journal of Mathematical Psychology
Journal of Mathematical Psychology 医学-数学跨学科应用
CiteScore
3.70
自引率
11.10%
发文量
37
审稿时长
20.2 weeks
期刊介绍: The Journal of Mathematical Psychology includes articles, monographs and reviews, notes and commentaries, and book reviews in all areas of mathematical psychology. Empirical and theoretical contributions are equally welcome. Areas of special interest include, but are not limited to, fundamental measurement and psychological process models, such as those based upon neural network or information processing concepts. A partial listing of substantive areas covered include sensation and perception, psychophysics, learning and memory, problem solving, judgment and decision-making, and motivation. The Journal of Mathematical Psychology is affiliated with the Society for Mathematical Psychology. Research Areas include: • Models for sensation and perception, learning, memory and thinking • Fundamental measurement and scaling • Decision making • Neural modeling and networks • Psychophysics and signal detection • Neuropsychological theories • Psycholinguistics • Motivational dynamics • Animal behavior • Psychometric theory
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