{"title":"关于相位(范数)可检索的实希尔伯特空间融合坐标系的注记","authors":"P. Casazza, F. Akrami, A. Rahimi","doi":"10.1142/s0219691322500400","DOIUrl":null,"url":null,"abstract":"In this manuscript, we present several new results in finite and countable dimensional real Hilbert space phase retrieval and norm retrieval by vectors and projections. We make a detailed study of when hyperplanes do norm retrieval. Also, we show that the families of norm retrievable frames $\\{f_{i}\\}_{i=1}^{m}$ in $\\mathbb{R}^n$ are not dense in the family of $m\\leq (2n-2)$-element sets of vectors in $\\mathbb{R}^n$ for every finite $n$ and the families of vectors which do norm retrieval in $\\ell^2$ are not dense in the infinite families of vectors in $\\ell^2$. We also show that if a Riesz basis does norm retrieval in $\\ell^2$, then it is an orthogonal sequence. We provide numerous examples to show that our results are best possible.","PeriodicalId":158567,"journal":{"name":"Int. J. Wavelets Multiresolution Inf. Process.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A note on phase (norm) retrievable real Hilbert space fusion frames\",\"authors\":\"P. Casazza, F. Akrami, A. Rahimi\",\"doi\":\"10.1142/s0219691322500400\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this manuscript, we present several new results in finite and countable dimensional real Hilbert space phase retrieval and norm retrieval by vectors and projections. We make a detailed study of when hyperplanes do norm retrieval. Also, we show that the families of norm retrievable frames $\\\\{f_{i}\\\\}_{i=1}^{m}$ in $\\\\mathbb{R}^n$ are not dense in the family of $m\\\\leq (2n-2)$-element sets of vectors in $\\\\mathbb{R}^n$ for every finite $n$ and the families of vectors which do norm retrieval in $\\\\ell^2$ are not dense in the infinite families of vectors in $\\\\ell^2$. We also show that if a Riesz basis does norm retrieval in $\\\\ell^2$, then it is an orthogonal sequence. We provide numerous examples to show that our results are best possible.\",\"PeriodicalId\":158567,\"journal\":{\"name\":\"Int. J. Wavelets Multiresolution Inf. Process.\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Wavelets Multiresolution Inf. Process.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/s0219691322500400\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Wavelets Multiresolution Inf. Process.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s0219691322500400","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A note on phase (norm) retrievable real Hilbert space fusion frames
In this manuscript, we present several new results in finite and countable dimensional real Hilbert space phase retrieval and norm retrieval by vectors and projections. We make a detailed study of when hyperplanes do norm retrieval. Also, we show that the families of norm retrievable frames $\{f_{i}\}_{i=1}^{m}$ in $\mathbb{R}^n$ are not dense in the family of $m\leq (2n-2)$-element sets of vectors in $\mathbb{R}^n$ for every finite $n$ and the families of vectors which do norm retrieval in $\ell^2$ are not dense in the infinite families of vectors in $\ell^2$. We also show that if a Riesz basis does norm retrieval in $\ell^2$, then it is an orthogonal sequence. We provide numerous examples to show that our results are best possible.