{"title":"随机图上的莫兰过程","authors":"Alan Frieze, Wesley Pegden","doi":"arxiv-2409.11615","DOIUrl":null,"url":null,"abstract":"We study the fixation probability for two versions of the Moran process on\nthe random graph $G_{n,p}$ at the threshold for connectivity. The Moran process\nmodels the spread of a mutant population in a network. Throughtout the process\nthere are vertices of two types, mutants and non-mutants. Mutants have fitness\n$s$ and non-mutants have fitness 1. The process starts with a unique individual\nmutant located at the vertex $v_0$. In the Birth-Death version of the process a\nrandom vertex is chosen proportional to its fitness and then changes the type\nof a random neighbor to its own. The process continues until the set of mutants\n$X$ is empty or $[n]$. In the Death-Birth version a uniform random vertex is\nchosen and then takes the type of a random neighbor, chosen according to\nfitness. The process again continues until the set of mutants $X$ is empty or\n$[n]$. The {\\em fixation probability} is the probability that the process ends\nwith $X=\\emptyset$. We give asymptotically correct estimates of the fixation probability that\ndepend on degree of $v_0$ and its neighbors.,","PeriodicalId":501245,"journal":{"name":"arXiv - MATH - Probability","volume":"11 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Moran process on a random graph\",\"authors\":\"Alan Frieze, Wesley Pegden\",\"doi\":\"arxiv-2409.11615\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We study the fixation probability for two versions of the Moran process on\\nthe random graph $G_{n,p}$ at the threshold for connectivity. The Moran process\\nmodels the spread of a mutant population in a network. Throughtout the process\\nthere are vertices of two types, mutants and non-mutants. Mutants have fitness\\n$s$ and non-mutants have fitness 1. The process starts with a unique individual\\nmutant located at the vertex $v_0$. In the Birth-Death version of the process a\\nrandom vertex is chosen proportional to its fitness and then changes the type\\nof a random neighbor to its own. The process continues until the set of mutants\\n$X$ is empty or $[n]$. In the Death-Birth version a uniform random vertex is\\nchosen and then takes the type of a random neighbor, chosen according to\\nfitness. The process again continues until the set of mutants $X$ is empty or\\n$[n]$. The {\\\\em fixation probability} is the probability that the process ends\\nwith $X=\\\\emptyset$. We give asymptotically correct estimates of the fixation probability that\\ndepend on degree of $v_0$ and its neighbors.,\",\"PeriodicalId\":501245,\"journal\":{\"name\":\"arXiv - MATH - Probability\",\"volume\":\"11 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - MATH - Probability\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.11615\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - Probability","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.11615","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We study the fixation probability for two versions of the Moran process on
the random graph $G_{n,p}$ at the threshold for connectivity. The Moran process
models the spread of a mutant population in a network. Throughtout the process
there are vertices of two types, mutants and non-mutants. Mutants have fitness
$s$ and non-mutants have fitness 1. The process starts with a unique individual
mutant located at the vertex $v_0$. In the Birth-Death version of the process a
random vertex is chosen proportional to its fitness and then changes the type
of a random neighbor to its own. The process continues until the set of mutants
$X$ is empty or $[n]$. In the Death-Birth version a uniform random vertex is
chosen and then takes the type of a random neighbor, chosen according to
fitness. The process again continues until the set of mutants $X$ is empty or
$[n]$. The {\em fixation probability} is the probability that the process ends
with $X=\emptyset$. We give asymptotically correct estimates of the fixation probability that
depend on degree of $v_0$ and its neighbors.,