{"title":"最大值的分布或赢家问题","authors":"Youri Davydov , Vladimir Rotar","doi":"10.1016/j.spl.2024.110152","DOIUrl":null,"url":null,"abstract":"<div><p>We consider a limit theorem for the distribution of a random variable (r.v.) <span><math><mrow><msub><mrow><mi>A</mi></mrow><mrow><mi>n</mi></mrow></msub><mo>=</mo><mo>arg</mo><msub><mrow><mo>max</mo></mrow><mrow><mi>i</mi><mo>:</mo><mn>1</mn><mo>…</mo><mi>n</mi></mrow></msub><mrow><mo>{</mo><msub><mrow><mi>X</mi></mrow><mrow><mi>i</mi></mrow></msub><mo>}</mo></mrow></mrow></math></span>, where <span><math><msub><mrow><mi>X</mi></mrow><mrow><mi>i</mi></mrow></msub></math></span>’s are independent continuous non-negative random r.v.’s. The <span><math><mrow><msub><mrow><mi>X</mi></mrow><mrow><mi>i</mi></mrow></msub><mo>,</mo><mspace></mspace><mi>i</mi><mo>=</mo><mn>1</mn><mo>.</mo><mo>…</mo><mo>,</mo><mi>n</mi></mrow></math></span>, may be interpreted as the gains of <span><math><mi>n</mi></math></span> players in a game, and the r.v. <span><math><msub><mrow><mi>A</mi></mrow><mrow><mi>n</mi></mrow></msub></math></span> itself as the number of a “winner”. The paper contains some limit theorems for the distribution of <span><math><msub><mrow><mi>A</mi></mrow><mrow><mi>n</mi></mrow></msub></math></span> as <span><math><mrow><mi>n</mi><mo>→</mo><mi>∞</mi></mrow></math></span>.</p></div>","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The distribution of argmaximum or a winner problem\",\"authors\":\"Youri Davydov , Vladimir Rotar\",\"doi\":\"10.1016/j.spl.2024.110152\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>We consider a limit theorem for the distribution of a random variable (r.v.) <span><math><mrow><msub><mrow><mi>A</mi></mrow><mrow><mi>n</mi></mrow></msub><mo>=</mo><mo>arg</mo><msub><mrow><mo>max</mo></mrow><mrow><mi>i</mi><mo>:</mo><mn>1</mn><mo>…</mo><mi>n</mi></mrow></msub><mrow><mo>{</mo><msub><mrow><mi>X</mi></mrow><mrow><mi>i</mi></mrow></msub><mo>}</mo></mrow></mrow></math></span>, where <span><math><msub><mrow><mi>X</mi></mrow><mrow><mi>i</mi></mrow></msub></math></span>’s are independent continuous non-negative random r.v.’s. The <span><math><mrow><msub><mrow><mi>X</mi></mrow><mrow><mi>i</mi></mrow></msub><mo>,</mo><mspace></mspace><mi>i</mi><mo>=</mo><mn>1</mn><mo>.</mo><mo>…</mo><mo>,</mo><mi>n</mi></mrow></math></span>, may be interpreted as the gains of <span><math><mi>n</mi></math></span> players in a game, and the r.v. <span><math><msub><mrow><mi>A</mi></mrow><mrow><mi>n</mi></mrow></msub></math></span> itself as the number of a “winner”. The paper contains some limit theorems for the distribution of <span><math><msub><mrow><mi>A</mi></mrow><mrow><mi>n</mi></mrow></msub></math></span> as <span><math><mrow><mi>n</mi><mo>→</mo><mi>∞</mi></mrow></math></span>.</p></div>\",\"PeriodicalId\":0,\"journal\":{\"name\":\"\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0,\"publicationDate\":\"2024-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167715224001214\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167715224001214","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
我们考虑随机变量(r.v.)An=argmaxi:1...n{Xi}分布的极限定理,其中 Xi 是独立的连续非负随机 r.v.。Xi,i=1....,n,可以解释为一场博弈中 n 个玩家的收益,而 r.v. An 本身则是 "赢家 "的数量。本文包含一些关于 An 随 n→∞ 分布的极限定理。
The distribution of argmaximum or a winner problem
We consider a limit theorem for the distribution of a random variable (r.v.) , where ’s are independent continuous non-negative random r.v.’s. The , may be interpreted as the gains of players in a game, and the r.v. itself as the number of a “winner”. The paper contains some limit theorems for the distribution of as .