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Analytical Tools in Probability for Social Choice Theory and Computer Science

Analytical Tools in Probability for Social Choice Theory and Computer Science
社会选择理论和计算机科学的概率分析工具
批准号:
1839406
负责人:
Steven Heilman
金额:
$4.65万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-07-01 至 2020-06-30

项目摘要

项目成果

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中文摘要
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英文摘要
This project seeks to answer the following questions. (1) "How can we design an election so that the outcome does not change due to miscounted or corrupted votes?" (2) "What is the best way to cluster data on a computer?" (3) "How can we understand the geometry of networks?" Questions (1) and (2) can be reformulated as isoperimetric problems. One example of an isoperimetric problem asks for the shape of a fence of fixed length that encloses the most area (the answer being a circular fence, which was known since ancient times). The specific isoperimetric problems the principal investigator studies can be phrased as probabilistic problems, and this project develops some new tools from calculus to deal with these problems. Different versions of Question (1) have been studied extensively by game theorists in the 1950s and 1960s, but investigations in theoretical computer science in the last two decades have given renewed interest for Questions (1), (2), and (3). Generally speaking, theoretical computer science finds ways for computers to solve problems as quickly and as efficiently as possible.This project develops two analytic tools in probability: the calculus of variations and curvature. Several recent isoperimetric problems in probability and theoretical computer science such as (1) and (2) ask for the Euclidean sets of smallest Gaussian perimeter and fixed Gaussian volume. A breakthrough result of Choksi and Sternberg from 2007 allows the calculus of variations to be applied to these optimization problems, though others have not yet used variational tools for these problems. The principal investigator will also develop theories of curvature for hypercontractive and logarithmic Sobolev inequalities. For a Riemannian manifold, Ricci curvature bounds imply logarithmic Sobolev inequalities, a result of Bakry and Emery from 1985. In this project, different notions of Ricci curvature on random graphs will be investigated. Theories of Ricci curvature for noncommutative logarithmic Sobolev inequalities will also be investigated.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Designing Stable Elections
设计稳定的选举
DOI: 10.1090/noti2251
发表时间: 2021
期刊: Notices of the American Mathematical Society
影响因子: --
作者: [Heilman, Steven]
通讯作者: Heilman, Steven
Tree/Endofunction Bijections and Concentration Inequalities
树/内函数双射和浓度不等式
DOI: 10.37236/10560
发表时间: 2022
期刊: The Electronic Journal of Combinatorics
影响因子: --
作者: [Heilman, Steven]
通讯作者: Heilman, Steven
AF: Small: Geometric Inequalities, Clustering Hardness, and Social Choice
  • 批准号:
    1911216
  • 项目类别:
    Standard Grant
  • 资助金额:
    $9.03万
  • 财政年份:
    2019
  • 负责人:
    Steven Heilman
  • 依托单位:
Analytical Tools in Probability for Social Choice Theory and Computer Science
  • 批准号:
    1829383
  • 项目类别:
    Standard Grant
  • 资助金额:
    $6.83万
  • 财政年份:
    2018
  • 负责人:
    Steven Heilman
  • 依托单位:
Analytical Tools in Probability for Social Choice Theory and Computer Science
  • 批准号:
    1708908
  • 项目类别:
    Standard Grant
  • 资助金额:
    $9.65万
  • 财政年份:
    2017
  • 负责人:
    Steven Heilman
  • 依托单位:
海外基金