Random Matrix Theory with U(N) Racah Algebra for Transition Strengths
V.K.B. Kota

TL;DR
This paper develops a statistical framework for transition strength densities in finite quantum many-particle systems using Random Matrix Theory and U(N) Racah algebra, deriving formulas for moments and showing Gaussian behavior.
Contribution
It introduces a method to derive finite-N formulas for moments of transition strength densities using U(N) Racah algebra and embedded Gaussian ensembles, advancing the statistical theory of quantum transitions.
Findings
Bivariate transition strength densities are approximately Gaussian.
Finite-N formulas for moments up to order four are derived.
Results extend to particle addition and beta decay operators.
Abstract
For finite quantum many-particle systems, a given system, induced by a transition operator, makes transitions from its states to the states of the same system or to those of another system. Examples are electromagnetic transitions (then the initial and final systems are same), nuclear beta and double beta decay (then the initial and final systems are different), particle addition to or removal from a given system and so on. Working towards developing a complete statistical theory for transition strength densities (transition strengths multiplied by the density of states at the initial and final energies), we have started a program to derive formulas for the lower order bivariate moments of the strength densities generated by a variety of transition operators. In this paper results are presented for a transition operator that removes number of particle by considering spinless…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStatistical Mechanics and Entropy · Quantum Mechanics and Applications · Advanced Mathematical Theories and Applications
