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arxiv: 1509.07630 · v1 · pith:Q7ZRWCSTnew · submitted 2015-09-25 · 🧮 math.FA

Kernel Identities and Vectorial Regularization

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

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