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Random Multiple Operator Integrals
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The introduction of Schur multipliers into the context of Double Operator Integrals (DOIs) was proposed by V. V. Peller in 1985. This work extends theorem on Schur multipliers from measurable functions to their closure space and generalizes the definition of DOIs to Multiple Operator Integrals (MOIs) for integrand functions as Schur multipliersconstructible by taking the limit of projective tensor product and by taking the limit of integral projective tensor product. According to such closure space construction for integrand functions, we demonstrate that any function defined on a compact set of a Euclidean space can be expressed by taking the limit of the projective tensor product of linear functions. We also generalize previous works about random DOIs with respect to finite dimensional operators, tensors, to MOIs with respect to random operators, which are defined from spectral decomposition perspectives. Based on random MOIs definitions and their properties, we derive several tail bounds for norms of higher random operator derivatives, higher random operator difference and Taylor remainder of random operator-valued functions.
Forward citations
Cited by 3 Pith papers
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Generalized Double Operator Integrals for Continuous Spectrum Operators
The paper introduces GDOIs for continuous-spectrum non-self-adjoint operators and derives their algebraic, perturbation, norm, continuity, and differentiation properties, relying on spectral decompositions imported fr...
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Matrix Ordering through Spectral and Nilpotent Structures in Totally Ordered Complex Number Fields
The paper defines a lexicographic total order on complex numbers and a Spectral and Nilpotent Ordering (SNO) for arbitrary matrices, claiming to extend majorization, Schur-Ostrowski, and operator convexity results to ...
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Generalized Multiple Operator Integrals for Operators with Finite Dimensions
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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