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Random Parametrization Double Tensors Integrals and Their Applications

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arxiv 2205.03523 v1 pith:QA4MQXKF submitted 2022-05-07 math.PR

classification math.PR
keywords boundspdtirandomtensorsdoubleintegralstensoraccording
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In this work, we extend double tensor integrals (DTI) from our previous work to parametrization double tensors integrals (PDTI) by applying integral kernel transform bounds to upper bound PDTI norm and establishing a new perturbation formula. Besides, the convergence property of random PDTI is investigated and this property is utilized to characterize the relation between the original derivative tensor and the action result of PDTI to the original derivative tensor. These tools help us to derive new tail bounds for random tensors according to more general operator inequalities, e.g., Heinz inequality and Birman-Koplienko-Solomyak inequality. Moreover, new tail bounds about random tensors are also obtained according to our new derived perturbation formula and integral kernel transform bounds.

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Cited by 2 Pith papers

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  2. Generalized Multiple Operator Integrals for Operators with Finite Dimensions

    math.FA 2025-06 reject novelty 3.0 of 10

    A framework for multiple operator integrals on non-Hermitian matrices via Jordan decomposition, with perturbation and derivative formulas that are not rigorously established.

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