Direct spectral problems for Paley-Wiener canonical systems
Ashley R. Zhang

TL;DR
This paper develops a method to solve the direct spectral problem for Paley-Wiener canonical systems by approximating general Hamiltonians with step-functions and analyzing the convergence of their spectral measures.
Contribution
It introduces a new approach to the direct spectral problem for canonical systems using step-function approximations and spectral measure convergence analysis.
Findings
Spectral measures of step-function Hamiltonians converge to that of the original Hamiltonian.
Reversal of the inverse spectral problem algorithm for step-function Hamiltonians.
Demonstrates the effectiveness of spectral measure approximation for non-step Hamiltonians.
Abstract
This note focuses on the direct spectral problem for canonical Hamiltonian systems on the half-line . Truncated Toeplitz operators have been effectively used to solve the inverse spectral problem when the spectral measure is a locally finite periodic measure (see \cite{MP}). Here, we reverse the inverse problem algorithm to solve the direct spectral problem for step-function Hamiltonians. For a non-step-function Hamiltonian, we consider its step-function approximations and their corresponding spectral measures, and show that these spectral measures converge to the spectral measure of the original Hamiltonian.
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