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Binary Truncated Moment Problems and the Hadamard Product
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 유성욱 | - |
| dc.date.accessioned | 2022-12-26T14:01:12Z | - |
| dc.date.available | 2022-12-26T14:01:12Z | - |
| dc.date.issued | 2020 | - |
| dc.identifier.issn | 1226-6973 | - |
| dc.identifier.issn | 2287-2833 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/8032 | - |
| dc.description.abstract | Up to the present day, the best solution we can get to the truncated moment problem (TMP) is probably the Flat Extension The- orem. It says that if the corresponding moment matrix of a moment sequence admits a rank-preserving positive extension, then the sequence has a representing measure. However, constructing a flat extension for most higher-order moment sequences cannot be executed easily because it requires to allow many parameters. Recently, the author has considered various decompositions of a moment matrix to find a solution to TMP in- stead of an extension. Using a new approach with the Hadamard product, the author would like to introduce more techniques related to moment matrix decompositions. | - |
| dc.format.extent | 11 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | 영남수학회 | - |
| dc.title | Binary Truncated Moment Problems and the Hadamard Product | - |
| dc.title.alternative | Binary Truncated Moment Problems and the Hadamard Product | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.bibliographicCitation | East Asian Mathematical Journal, v.36, no.1, pp 61 - 71 | - |
| dc.citation.title | East Asian Mathematical Journal | - |
| dc.citation.volume | 36 | - |
| dc.citation.number | 1 | - |
| dc.citation.startPage | 61 | - |
| dc.citation.endPage | 71 | - |
| dc.identifier.kciid | ART002555834 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | Moment problem | - |
| dc.subject.keywordAuthor | Hadamard product | - |
| dc.subject.keywordAuthor | Rank-one decomposition. | - |
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