Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

WORLD SCIENTIFIC eBooks

Linear Response and Sum Rules

Published Jul 1, 2010• 0 citations
Publisher
DOI
10.1142/9789812839602_0004

Related papers

Sum rules and a coupled cluster formulation of linear response theory

R. F. Bishop

Springer eBooks•Jan 25, 2006•3 citations

Lanczos algorithm and energy-weighted sum rules for linear response

Calvin W. Johnson, G. F. Bertsch, William Donald Hazelton

arXiv:physics/9802014•Computer Physics Communications•Aug 1, 1999•16 citations

Linear response and sum rules in the coupled-cluster formalism

R. F. Bishop

•Jan 1, 1984•0 citations

Spectral density and sum rules for second-order response functions

Barry Bradlyn, Peter M. Abbamonte

Sum rules for response functions represent some of the few exact results in many-body physics, relating the dynamical response functions to equilibrium ground state properties. To date, however, sum rules have been examined primarily for linear response functions. In this work, the authors introduce a spectral density representation for second-order response functions, using it to systematically derive families of sum rules, including a nonlinear extension of the well-known $f$-sum rule. This work places important constraints on future nonlinear spectroscopic experiments.

arXiv:2404.16144•Physical review. B./Physical review. B•Dec 18, 2024•14 citations

Linear Response

Tamás S. Bíró, Antal Jakovác

SpringerBriefs in physics•Jan 1, 2019•0 citations

Linear response theory*

WORLD SCIENTIFIC eBooks•Jun 27, 2018•0 citations
Sum rules for response functions represent some of the few exact results in many-body physics, relating the dynamical response functions to equilibrium ground state properties. To date, however, sum rules have been examined primarily for linear response functions. In this work, the authors introduce a spectral density representation for second-order response functions, using it to systematically derive families of sum rules, including a nonlinear extension of the well-known fff-sum rule. This work places important constraints on future nonlinear spectroscopic experiments.