2013
DOI: 10.1137/100814019
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Decay Properties of Spectral Projectors with Applications to Electronic Structure

Abstract: Abstract. Motivated by applications in quantum chemistry and solid state physics, we apply general results from approximation theory and matrix analysis to the study of the decay properties of spectral projectors associated with large and sparse Hermitian matrices. Our theory leads to a rigorous proof of the exponential off-diagonal decay ("nearsightedness") for the density matrix of gapped systems at zero electronic temperature in both orthogonal and non-orthogonal representations, thus providing a firm theor… Show more

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Cited by 136 publications
(198 citation statements)
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References 123 publications
(251 reference statements)
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“…[20][21][22] In addition, the density matrix, ρ (r, r ′ ), itself decays exponentially with distance, |r − r ′ |, in the position representation for systems with a non-negligible HOMO-LUMO gap. 3,23,24 For electronic structure theory based on localized AO basis functions, this translates into sparsity of the density matrix in the AO representation, as well as potential localization of the molecular orbitals (MOs). This sparsity is basis-set dependent and has been studied empirically.…”
Section: Introductionmentioning
confidence: 99%
“…[20][21][22] In addition, the density matrix, ρ (r, r ′ ), itself decays exponentially with distance, |r − r ′ |, in the position representation for systems with a non-negligible HOMO-LUMO gap. 3,23,24 For electronic structure theory based on localized AO basis functions, this translates into sparsity of the density matrix in the AO representation, as well as potential localization of the molecular orbitals (MOs). This sparsity is basis-set dependent and has been studied empirically.…”
Section: Introductionmentioning
confidence: 99%
“…In the last 15 years, a number of significant results have established exponentially decaying bounds for the magnitude of the entries of holomorphic functions of sparse matrices [11,12,13]. These results have given rise to a flurry of applications in linear algebra and physics as they underly efficient approximation techniques, see for example [11,14,15].…”
Section: Decay Propertiesmentioning
confidence: 99%
“…These results have given rise to a flurry of applications in linear algebra and physics as they underly efficient approximation techniques, see for example [11,14,15]. As we shall see below, the techniques used to prove these results do not extend to the time-ordered exponential of time-dependent matrices which do not commute with themselves at different times.…”
Section: Decay Propertiesmentioning
confidence: 99%
“…The interest for the decay behavior of matrix functions stems largely from its importance for a number of applications, including numerical analysis [6,13,16,17,22,40,46], harmonic analysis [2,26,33], quantum chemistry [5,11,37,42], signal processing [35,43], quantum information theory [14,15,23], multivariate statistics [1], queuing models [9,10], control of large-scale dynamical systems [29], quantum dynamics [25], random matrix theory [41], and others. The first case to be analyzed in detail was that of f (A) = A −1 ; see [17,18,22,34].…”
Section: Introductionmentioning
confidence: 99%