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Matrix stretching
- Source :
- Open Mathematics, Vol 22, Iss 1, Pp 212-244 (2024)
- Publication Year :
- 2024
- Publisher :
- De Gruyter, 2024.
-
Abstract
- We consider the tensor products of square matrices of different sizes and introduce the stretching maps, which can be viewed as a generalized matricization. Stretching maps conserve algebraic properties of the tensor product, but are not necessarily injective. Dropping the injectivity condition allows us to construct examples of stretching maps with additional symmetry properties. Furthermore, this leads to the averaging of the tensor product and possibly could be used to compress the data.
- Subjects :
- matrix
reshaping of tensor
tensor product
15a69
15a72
47a80
Mathematics
QA1-939
Subjects
Details
- Language :
- English
- ISSN :
- 23915455 and 20240031
- Volume :
- 22
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Open Mathematics
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.f6793547b71d4e5aab1a1101d28954ec
- Document Type :
- article
- Full Text :
- https://doi.org/10.1515/math-2024-0031