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Identifying the Hamiltonian structure in linear response theory.

Nanna Holmgaard List1, Sonia Coriani2, Ove Christiansen3

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|June 16, 2014
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Summary
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We developed a unified framework for linear response eigenvalue equations, applicable to Hartree-Fock, density functional theory, and coupled-cluster methods. This approach reveals the underlying Hamiltonian structure for isolated and embedded molecules.

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Area of Science:

  • Quantum Chemistry
  • Theoretical Chemistry
  • Computational Chemistry

Background:

  • Linear response eigenvalue equations are crucial for describing molecular properties.
  • Existing methods like Hartree-Fock, density functional theory, and coupled-cluster theory have distinct theoretical underpinnings.
  • A unified approach is needed to bridge these theories.

Purpose of the Study:

  • To present a unifying framework for linear response eigenvalue equations.
  • To demonstrate how this framework encompasses variational and non-variational theories.
  • To generalize the framework for polarizable-embedded molecules.

Main Methods:

  • Developed a unifying theoretical framework for linear response eigenvalue equations.
  • Utilized the Hamiltonian structure of response kernel matrices.
  • Applied the framework to variational Hartree-Fock, Kohn-Sham density functional theory, and non-variational coupled-cluster theory.
  • Extended the theory to include polarizable-embedded molecules.

Main Results:

  • The framework successfully unifies Hartree-Fock, DFT, and coupled-cluster theories.
  • The Hamiltonian structure of response kernels naturally yields the paired eigenvalue spectrum for isolated molecules.
  • The framework is generalized to describe polarizable-embedded molecules within both variational and non-variational contexts.

Conclusions:

  • A unified theoretical framework for linear response calculations has been established.
  • The Hamiltonian structure provides a fundamental link between different quantum chemical methods.
  • The generalized framework offers new possibilities for studying molecules in complex environments.