English

Kernel Identities and Vectorial Regularization

Functional Analysis 2017-10-26 v1

Abstract

We present the method of "vectorial regularization" to prove kernel identities. This method is applied to derive both known kernel identities, e.g. B˙xy=B˙x^εB˙y\dot{\mathcal{B}}_{xy}=\dot{\mathcal{B}}_x\widehat{\otimes}_\varepsilon\dot{\mathcal{B}}_y, DL1,xy=DL1,x^πDL1,y\mathcal{D}'_{L^1,xy}=\mathcal{D}'_{L^1,x}\widehat{\otimes}_\pi\mathcal{D}'_{L^1,y}, as well as new ones: B˙xy=B˙x^εB˙y\dot{\mathcal{B}}'_{xy}=\dot{\mathcal{B}}'_x\widehat{\otimes}_\varepsilon\dot{\mathcal{B}}'_y and DL1,xy=DL1,x^πDL1,y\mathcal{D}_{L^1,xy}=\mathcal{D}_{L^1,x}\widehat{\otimes}_\pi\mathcal{D}_{L^1,y}.

Keywords

Cite

@article{arxiv.1509.07630,
  title  = {Kernel Identities and Vectorial Regularization},
  author = {Christian Bargetz and Norbert Ortner},
  journal= {arXiv preprint arXiv:1509.07630},
  year   = {2017}
}
R2 v1 2026-06-22T11:05:14.663Z