English

Modified discrete Laguerre polynomials for efficient computation of exponentially bounded Matsubara sums

Numerical Analysis 2021-01-06 v1 Numerical Analysis Computational Physics

Abstract

We develop a new type of orthogonal polynomial, the modified discrete Laguerre (MDL) polynomials, designed to accelerate the computation of bosonic Matsubara sums in statistical physics. The MDL polynomials lead to a rapidly convergent Gaussian "quadrature" scheme for Matsubara sums, and more generally for any sum F(0)/2+F(h)+F(2h)+F(0)/2 + F(h) + F(2h) + \cdots of exponentially decaying summands F(nh)=f(nh)enhsF(nh) = f(nh)e^{-nhs} where hs>0hs>0. We demonstrate this technique for computation of finite-temperature Casimir forces arising from quantum field theory, where evaluation of the summand FF requires expensive electromagnetic simulations. A key advantage of our scheme, compared to previous methods, is that the convergence rate is nearly independent of the spacing hh (proportional to the thermodynamic temperature). We also prove convergence for any polynomially decaying FF.

Keywords

Cite

@article{arxiv.2101.01655,
  title  = {Modified discrete Laguerre polynomials for efficient computation of exponentially bounded Matsubara sums},
  author = {Guanpeng Xu and Steven G. Johnson},
  journal= {arXiv preprint arXiv:2101.01655},
  year   = {2021}
}