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Research PaperResearchia:202607.02020

Lanczos Method for QRPA Strength Functions in Atomic Nuclei

Dong Min Roh

Abstract

We present a symmetric Lanczos method for computing charge-changing QRPA strength functions in atomic nuclei. Starting from the finite-amplitude-method formulation of the QRPA linear-response problem, we derive equivalent spectral representations and, in the real case, a reduced eigenvalue problem involving the matrix products $MK$ and $KM$, where $M\equiv A+B$ and $K\equiv A-B$ are formed from the usual QRPA matrices $A$ and $B$. The resulting formulation enables a matrix-free Lanczos approxima...

Submitted: July 2, 2026Subjects: Mathematics; Mathematics

Description / Details

We present a symmetric Lanczos method for computing charge-changing QRPA strength functions in atomic nuclei. Starting from the finite-amplitude-method formulation of the QRPA linear-response problem, we derive equivalent spectral representations and, in the real case, a reduced eigenvalue problem involving the matrix products MKMK and KMKM, where MA+BM\equiv A+B and KABK\equiv A-B are formed from the usual QRPA matrices AA and BB. The resulting formulation enables a matrix-free Lanczos approximation of the Lorentzian-smeared strength function over a broad energy interval from a single Krylov run, in contrast to conventional frequency-by-frequency response calculations. Numerical tests for 112^{112}Sn and 150^{150}Nd first show that GMRES reproduces the converged iterative FAM strength profiles while requiring fewer iterations. Using GMRES as the frequency-by-frequency reference, we then show that the Lanczos approximation reproduces the same strength profiles with reduced overall cost. These results indicate that symmetric Lanczos projection provides an efficient and accurate approach for QRPA strength-function calculations when spectral information is required over an extended frequency range.


Source: arXiv:2607.01114v1 - http://arxiv.org/abs/2607.01114v1 PDF: https://arxiv.org/pdf/2607.01114v1 Original Link: http://arxiv.org/abs/2607.01114v1

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Date:
Jul 2, 2026
Topic:
Mathematics
Area:
Mathematics
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