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Approach to energy eigenvalues and eigenfunctions from nonperturbative regions of eigenfunctions
1Department of Physics, Southeast University, Nanjing 210096, China.
To accurately approximate Hamiltonian matrix energy eigenvalues and eigenfunctions, truncated matrix sizes must exceed nonperturbative regions by several band widths. This finding, validated by the Wigner-band random-matrix model, ensures high accuracy for quantum system analysis.
Area of Science:
- Quantum Mechanics
- Condensed Matter Physics
- Computational Physics
Background:
- Hamiltonian matrices describe quantum systems.
- Diagonalization of truncated matrices is a common approximation method.
- Perturbation theory is used to refine approximations.
Purpose of the Study:
- To determine the optimal size of truncated matrices for accurate energy eigenvalue and eigenfunction approximation.
- To establish a method for estimating the required matrix size before full eigenfunction calculation.
Main Methods:
- Generalization of Brillouin-Wigner perturbation theory.
- Numerical validation using the Wigner-band random-matrix model.
- Analysis of the relationship between truncated matrix size and nonperturbative regions.
Main Results:
- Truncated matrix size must exceed nonperturbative regions by several Hamiltonian matrix band widths for accurate approximations.
- Nonperturbative regions can be estimated prior to full eigenfunction computation.
- Numerical results confirm that ~99% of eigenfunctions are obtained when matrix size exceeds nonperturbative regions by three band widths.
Conclusions:
- The study provides a guideline for selecting appropriate truncated matrix sizes in quantum mechanical calculations.
- The findings improve the efficiency and accuracy of approximating energy eigenvalues and eigenfunctions.
- The generalized perturbation theory offers a robust framework for analyzing Hamiltonian matrices.
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