Tensor product and scalability of iterated pg-frames in Banach spaces
In this paper, we introduce the structure of the tensor product of iterated [Formula: see text]-frames [Formula: see text], where [Formula: see text] and show that the tensor product of two iterated [Formula: see text]-frames is again a [Formula: see text]-frame. We prove that the invertible image of the tensor product of two iterated [Formula: see text]-frames is again a [Formula: see text]-frame. In addition, we introduce the notion of scalability of the iterated [Formula: see text]-frame [Formula: see text]. We show that scaling an iterated [Formula: see text]-frame by a semi-normalized sequence or a positively confined sequence is again an iterated [Formula: see text]-frame. For a surjective isometry [Formula: see text], we prove that the scalability of the iterated [Formula: see text]-frame [Formula: see text] and [Formula: see text]-frame [Formula: see text] is equivalent. Furthermore, we establish that the tensor product of an iterated scalable [Formula: see text]-frame, with a [Formula: see text]-frame, may not be scalable [Formula: see text]-frame. Lastly, we prove a result that includes a sufficient condition under which the tensor product of two iterated [Formula: see text]-frames [Formula: see text] becomes scalable [Formula: see text]-frame.
Authors
- Rakesh Kumar (ORCID: https://orcid.org/0009-0007-2529-4921)
Institutions
- University of Delhi (IN)
Publication Details
- Journal
- International Journal of Wavelets Multiresolution and Information Processing
- Published
- 2025-08-21
- DOI
- https://doi.org/10.1142/s0219691325500286
- Primary Topic
- Mathematical Analysis and Transform Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00