Semi-analytical solution for eigenvalue problems of lattice models with boundary conditions
Abstract
Closed-form relations for limiting eigenvalues of an infinite k-periodic spatial lattice
in any number of dimensions d, and its semi-analytical extensions for any given size n
of the lattice with free-free boundary conditions, are known. These are based on the
eigenvalues of tridiagonal k-Toeplitz matrices (representing chains and d = 1), and their
tensor products or sums. These semi-analytical methods for eigenvalues incur drastically
lower computing costs than the direct numerical methods i.e. O(n) vs. O(n2) for the
latter, and further they are more accurate for sufficiently large lattices approaching the
limiting case (n > 100). This advantage in computing cost, accuracy, and numerical
stability emerges as the original eigenvalue problem of nk in size is reduced to n eigen
value problems each k in size, further making this approach very amenable to parallel
computation when required. In this work, their errors in eigenvalues are compared with
the errors of the direct numerical methods using special examples with high condition
numbers. Secondly, in the absence of such analytical methods, one also resorts to periodic
boundary conditions to limit the size of the numerical model representing a very large
system. The convergence of numerical models with periodic boundary conditions to the
limiting eigenvalues is highlighted, to emphasize the utility of the closed-form solution for
the limiting eigenvalues. Thirdly, the fixed-fixed boundary conditions on a finite chain
and their counterpart for periodic spatial lattices in higher dimensions (d > 1) are ad
dressed using perturbations to tridiagonal k-Toeplitz matrices representing the first and
last elements of the chain. Extensions of the semi-analytical methods for these cases by
applying numerical methods only to update the few perturbed eigenvalues are proposed.
An efficient extension for evaluating the eigenvectors in the case of real eigenvalues as
required in most physical systems is also presented.