Generalization of Lax Equivalence Theorem on Unbounded Self-adjoint Operators with Applications to Schr\"{o}dinger Operators
Yidong Luo

TL;DR
This paper extends the Lax Equivalence Theorem to unbounded self-adjoint operators, establishing conditions for the stability of Moore-Penrose inverse approximations and highlighting limitations in solving certain Schrödinger operator equations.
Contribution
It generalizes the Lax Equivalence Theorem to unbounded self-adjoint operators and analyzes the stability of Moore-Penrose inverse approximations in this context.
Findings
Continuity and strong convergence of Moore-Penrose inverse approximations depend on boundedness of their norms.
Arbitrary bounded schemes for non-closed range operators are inherently unstable.
Global approximate solutions are infeasible for certain Schrödinger operators with non-closed range.
Abstract
Define a unbounded self-adjoint operator on Hilbert space . Let be its resolvent approximation sequence with closed range , that is, are all self-adjoint on Hilbert space and \begin{equation*} \hbox{ \raise-2mm\hbox{}} R_\lambda (A_n) = R_\lambda (A)\quad (\lambda \in \mathrm{C} \setminus \mathrm{R}), \ \textrm{where} \ R_ \lambda(A) := (\lambda I-A)^{-1}. \end{equation*} The Moore-Penrose inverse is a natural approximation to the Moore-Penrose inverse . This paper shows that: is continuous and strongly converged by if and only if . On the other hand, this result tells that arbitrary bounded computational…
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Taxonomy
TopicsSpectral Theory in Mathematical Physics · Numerical methods in inverse problems · Matrix Theory and Algorithms
