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An Effective Solution to Convex 1-Body N-Representability

  • Federico Castillo
  • , Jean Philippe Labbé
  • , Julia Liebert
  • , Arnau Padrol
  • , Eva Philippe
  • , Christian Schilling
  • Pontificia Universidad Católica de Chile
  • Ludwig Maximilian University of Munich
  • Munich Center for Quantum Science and Technology (MCQST)
  • Sorbonne Université
  • Université Paris Cité

Research output: Contribution to journalJournal Articlepeer-review

11 Citations (Scopus)

Abstract

From a geometric point of view, Pauli’s exclusion principle defines a hypersimplex. This convex polytope describes the compatibility of 1-fermion and N-fermion density matrices; therefore, it coincides with the convex hull of the pure N-representable 1-fermion density matrices. Consequently, the description of ground state physics through 1-fermion density matrices may not necessitate the intricate pure state generalized Pauli constraints. In this article, we study the generalization of the 1-body N-representability problem to ensemble states with fixed spectrum w, in order to describe finite-temperature states and distinctive mixtures of excited states. By employing ideas from convex analysis and combinatorics, we present a comprehensive solution to the corresponding convex relaxation, thus circumventing the complexity of generalized Pauli constraints. In particular, we adapt and further develop tools such as symmetric polytopes, sweep polytopes, and Gale order. For both fermions and bosons, generalized exclusion principles are discovered, which we determine for any number of particles and dimension of the 1-particle Hilbert space. These exclusion principles are expressed as linear inequalities satisfying hierarchies determined by the nonzero entries of w. The two families of polytopes resulting from these inequalities are part of the new class of so-called lineup polytopes.

Original languageEnglish
Pages (from-to)2241-2321
Number of pages81
JournalAnnales Henri Poincare
Volume24
Issue number7
DOIs
Publication statusPublished - Jul 2023

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