2022
DOI: 10.1142/s0219530522500191
|View full text |Cite
|
Sign up to set email alerts
|

Generalized Appell polynomials and Fueter–Bargmann transforms in the polyanalytic setting

Abstract: This paper deals with some special integral transforms in the setting of quaternionic valued slice polyanalytic functions. In particular, using the polyanalytic Fueter mappings, it is possible to construct a new family of polynomials which are called the generalized Appell polynomials. Furthermore, the range of the polyanalytic Fueter mappings on two different polyanalytic Fock spaces is characterized. Finally, we study the polyanalytic Fueter–Bargmann transforms.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

1
3
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
4
1

Relationship

1
4

Authors

Journals

citations
Cited by 5 publications
(4 citation statements)
references
References 51 publications
1
3
0
Order By: Relevance
“…x k 0 P 3 j−2 (q) = − 2j(j − 1)x k 0 P 3 j−2 (q), which is exactly the same result obtained in [25].…”
Section: Proposition 72 (Polyanalytic Decomposition)supporting
confidence: 86%
See 2 more Smart Citations
“…x k 0 P 3 j−2 (q) = − 2j(j − 1)x k 0 P 3 j−2 (q), which is exactly the same result obtained in [25].…”
Section: Proposition 72 (Polyanalytic Decomposition)supporting
confidence: 86%
“…Remark 7.10. This is an extension to general Clifford algebras of the result [25,Theorem 3.3], established in the quaternionic setting. Indeed, if we consider n = 3 in Theorem 7.9, for q ∈ H and j ≥ 2, we get…”
Section: Proposition 72 (Polyanalytic Decomposition)mentioning
confidence: 81%
See 1 more Smart Citation
“…The polynomials found in (7.11) and (7.12) are polyanalytic of order 2 and 3, respectively. However, these polynomials do not coincide to which ones found in [28], in which the authors obtained polyanalytic polynomials by applying the Fueter-polyanalytic maps, see [5].…”
Section: Series Expansion Of the Kernels Of The Fine Structures Spacesmentioning
confidence: 80%