Practical consequences of the Luttinger-Ward functional multivaluedness for cluster DMFT methods
dc.citation.issue | 12 | |
dc.citation.rank | M21 | |
dc.citation.spage | 125141 | |
dc.citation.volume | 97 | |
dc.contributor.author | Vučičević, Jakša | |
dc.contributor.author | Wentzell, Nils | |
dc.contributor.author | Ferrero, Michel | |
dc.contributor.author | Parcollet, Olivier | |
dc.date.accessioned | 2024-07-03T08:15:37Z | |
dc.date.available | 2024-07-03T08:15:37Z | |
dc.date.issued | 2018-03-23 | |
dc.description.abstract | The Luttinger-Ward functional (LWF) has been a starting point for conserving approximations in many-body physics for 50 years. The recent discoveries of its multivaluedness and the associated divergence of the two-particle irreducible vertex function Γ have revealed an inherent limitation of this approach. Here we demonstrate how these undesirable properties of the LWF can lead to a failure of computational methods based on an approximation of the LWF. We apply the nested cluster scheme (NCS) to the Hubbard model and observe the existence of an additional stationary point of the self-consistent equations, associated with an unphysical branch of the LWF. In the strongly correlated regime, starting with the first divergence of Γ, this unphysical stationary point becomes attractive in the standard iterative technique used to solve DMFT. This leads to an incorrect solution, even in the large cluster size limit, for which we discuss diagnostics. | |
dc.identifier.doi | 10.1103/physrevb.97.125141 | |
dc.identifier.issn | 2469-9950 | |
dc.identifier.issn | 2469-9969 | |
dc.identifier.scopus | 2-s2.0-85044446748 | |
dc.identifier.uri | https://pub.ipb.ac.rs/handle/123456789/173 | |
dc.identifier.wos | 000428162200004 | |
dc.language.iso | en | |
dc.publisher | American Physical Society | |
dc.relation.ispartof | Physical Review B | |
dc.relation.ispartofabbr | Phys. Rev. B | |
dc.rights | restrictedAccess | |
dc.title | Practical consequences of the Luttinger-Ward functional multivaluedness for cluster DMFT methods | |
dc.type | Article | |
dc.type.version | publishedVersion |
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