{"title":"离散无记忆信道对称的互信息不变性方法","authors":"B. Xie, R. Wesel","doi":"10.1109/ITA.2008.4601087","DOIUrl":null,"url":null,"abstract":"There are numerous notions of symmetry for discrete memoryless channels. A common goal of these various definitions is that the capacity may be easily computed once the channel is declared to be symmetric. In this paper we focus on a class of definitions of symmetry characterized by the invariance of the channel mutual information over a group of permutations of the input distribution. For definitions of symmetry within this class, we give a simple proof of the optimality of the uniform distribution. The fundamental channels are all symmetric with a general enough definition of symmetry. This paper provides a definition of symmetry that covers these fundamental channels along with a proof that is simple enough to find itself on the chalkboard of even the most introductory class in information theory.","PeriodicalId":345196,"journal":{"name":"2008 Information Theory and Applications Workshop","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"A mutual information invariance approach to symmetry in discrete memoryless channels\",\"authors\":\"B. Xie, R. Wesel\",\"doi\":\"10.1109/ITA.2008.4601087\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There are numerous notions of symmetry for discrete memoryless channels. A common goal of these various definitions is that the capacity may be easily computed once the channel is declared to be symmetric. In this paper we focus on a class of definitions of symmetry characterized by the invariance of the channel mutual information over a group of permutations of the input distribution. For definitions of symmetry within this class, we give a simple proof of the optimality of the uniform distribution. The fundamental channels are all symmetric with a general enough definition of symmetry. This paper provides a definition of symmetry that covers these fundamental channels along with a proof that is simple enough to find itself on the chalkboard of even the most introductory class in information theory.\",\"PeriodicalId\":345196,\"journal\":{\"name\":\"2008 Information Theory and Applications Workshop\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Information Theory and Applications Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITA.2008.4601087\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Information Theory and Applications Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITA.2008.4601087","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A mutual information invariance approach to symmetry in discrete memoryless channels
There are numerous notions of symmetry for discrete memoryless channels. A common goal of these various definitions is that the capacity may be easily computed once the channel is declared to be symmetric. In this paper we focus on a class of definitions of symmetry characterized by the invariance of the channel mutual information over a group of permutations of the input distribution. For definitions of symmetry within this class, we give a simple proof of the optimality of the uniform distribution. The fundamental channels are all symmetric with a general enough definition of symmetry. This paper provides a definition of symmetry that covers these fundamental channels along with a proof that is simple enough to find itself on the chalkboard of even the most introductory class in information theory.