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Notes on density matrix perturbation theory.

Lionel A Truflandier1, Rivo M Dianzinga1, David R Bowler2

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Density matrix perturbation theory (DMPT) offers an alternative to traditional methods by using perturbed density matrices. New DMPT formulations show improved computational performance over sum-over-states methods.

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Area of Science:

  • Quantum Chemistry
  • Computational Chemistry
  • Theoretical Chemistry

Background:

  • Rayleigh-Schrödinger perturbation theory relies on sum-over-states (SOS) calculations.
  • Density matrix perturbation theory (DMPT) presents an alternative computational approach.
  • DMPT utilizes perturbed density matrices as input variables, avoiding the SOS approach.

Purpose of the Study:

  • To formulate and analyze three distinct types of Density Matrix Perturbation Theory (DMPT).
  • To investigate DMPT methods based solely on density matrices, including reformulations and extensions of existing techniques.

Main Methods:

  • Reformulation of the Kussmann and Ochsenfeld DMPT approach using the Sylvester equation.
  • Extension of Niklasson and Challacombe's recursive DMPT to incorporate hole-particle canonical purification (HPCP).
  • Comparative analysis of computational performance between DMPT variants and standard SOS methods.

Main Results:

  • The evaluated DMPT methods demonstrate superior computational performance compared to the standard sum-over-states (SOS) approach.
  • The HPCP-DMPT method exhibits stable convergence characteristics.
  • HPCP-DMPT incurs a higher computational cost relative to the original recursive polynomial method.

Conclusions:

  • Density matrix perturbation theory provides a computationally advantageous alternative to sum-over-states methods.
  • Specific DMPT formulations, particularly HPCP-DMPT, offer stable convergence but require careful consideration of computational cost.