Residual-Weighted Decomposition of Positive Operators
James Tian

TL;DR
This paper introduces a residual-weighted iterative scheme for decomposing positive operators into rank-one components, providing a constructive method to generate Parseval frames and analyze operator dynamics.
Contribution
It develops a novel residual-weighted decomposition approach for positive operators, including a canonical telescoping form and conditions for operator exhaustion and frame construction.
Findings
Residuals admit a canonical telescoping decomposition.
Constructive procedure for generating Parseval frames without spectral calculus.
Energy identities and conditions for operator exhaustion in trace-class cases.
Abstract
This paper investigates an iterative rank-one decomposition scheme for positive operators on a Hilbert space based on a residual-weighted congruence update. At each step the operator is compressed along a chosen unit vector while remaining inside the positive cone, and the resulting map defines a monotone dynamical system on the cone of positive operators. We prove that the associated residuals admit a canonical telescoping decomposition into rank-one terms and a limiting positive operator, and we identify this limit together with an exact energy identity expressing the defect between the initial and limiting operators as a convergent series of rank-one contributions. In the case where the iteration exhausts the operator, the residual directions form a Parseval frame for the natural range space, yielding a constructive procedure that produces Parseval frames without spectral calculus.…
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Taxonomy
TopicsMathematical Analysis and Transform Methods · Numerical methods in inverse problems · Spectral Theory in Mathematical Physics
