{"title":"埃尔米特多项式的互反关系","authors":"S. Nadarajah, C. Withers","doi":"10.53733/88","DOIUrl":null,"url":null,"abstract":"For $x\\in \\mathbb{R}$, the ordinary Hermite polynomial $H_k(x)$ can be written\\begin{eqnarray*}\\displaystyleH_k(x)= \\mathbb{E} \\left[ (x + {\\rm i} N)^k \\right] =\\sum_{j=0}^k {k\\choose j} x^{k-j} {\\rm i}^j \\mathbb{E} \\left[ N^j \\right],\\end{eqnarray*}where ${\\rm i} = \\sqrt{-1}$ and $N$ is a unit normal random variable. We prove the reciprocal relation\\begin{eqnarray*}\\displaystylex^k=\\sum_{j=0}^k {k\\choose j} H_{k-j}(x)\\ \\mathbb{E} \\left[ N^j \\right].\\end{eqnarray*}A similar result is given for the multivariate Hermite polynomial.","PeriodicalId":30137,"journal":{"name":"New Zealand Journal of Mathematics","volume":"26 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A reciprocal relation for Hermite polynomials\",\"authors\":\"S. Nadarajah, C. Withers\",\"doi\":\"10.53733/88\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For $x\\\\in \\\\mathbb{R}$, the ordinary Hermite polynomial $H_k(x)$ can be written\\\\begin{eqnarray*}\\\\displaystyleH_k(x)= \\\\mathbb{E} \\\\left[ (x + {\\\\rm i} N)^k \\\\right] =\\\\sum_{j=0}^k {k\\\\choose j} x^{k-j} {\\\\rm i}^j \\\\mathbb{E} \\\\left[ N^j \\\\right],\\\\end{eqnarray*}where ${\\\\rm i} = \\\\sqrt{-1}$ and $N$ is a unit normal random variable. We prove the reciprocal relation\\\\begin{eqnarray*}\\\\displaystylex^k=\\\\sum_{j=0}^k {k\\\\choose j} H_{k-j}(x)\\\\ \\\\mathbb{E} \\\\left[ N^j \\\\right].\\\\end{eqnarray*}A similar result is given for the multivariate Hermite polynomial.\",\"PeriodicalId\":30137,\"journal\":{\"name\":\"New Zealand Journal of Mathematics\",\"volume\":\"26 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"New Zealand Journal of Mathematics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.53733/88\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"New Zealand Journal of Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53733/88","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
For $x\in \mathbb{R}$, the ordinary Hermite polynomial $H_k(x)$ can be written\begin{eqnarray*}\displaystyleH_k(x)= \mathbb{E} \left[ (x + {\rm i} N)^k \right] =\sum_{j=0}^k {k\choose j} x^{k-j} {\rm i}^j \mathbb{E} \left[ N^j \right],\end{eqnarray*}where ${\rm i} = \sqrt{-1}$ and $N$ is a unit normal random variable. We prove the reciprocal relation\begin{eqnarray*}\displaystylex^k=\sum_{j=0}^k {k\choose j} H_{k-j}(x)\ \mathbb{E} \left[ N^j \right].\end{eqnarray*}A similar result is given for the multivariate Hermite polynomial.