Superconductivity, generalized random phase approximation and linear scaling methods
نویسندگان
چکیده
The superfluid weight is an important observable of superconducting materials since it related to the London penetration depth Meissner effect. It can be computed from change in grand potential (or free energy) response twisted boundary conditions a torus geometry. Here we review Bardeen-Cooper-Schrieffer mean-field theory emphasizing its origin as variational approximation for potential. parameters are effective fields that enter Hamiltonian, namely Hartree-Fock and pairing usually by ignoring dependence on conditions. However, has been pointed out recent works this lead unphysical results, particularly case lattice models with flat bands. As first result, show taking into account leads fact generalized random phase approximation. Our second result providing explicit function one-particle density matrix. This allows us derive expression within transparent manner. Moreover, reformulating well-posed minimization problem terms matrix step towards application systems linear scaling methods developed context electronic structure theory.
منابع مشابه
Generalized Random Phase Approximation and Gauge Theories
Hugo Reinhardt† Institut für Theoretische Physik, Eberhard-Karls Universität zu Tübingen, D-72076 Tübingen, Federal Republic of Germany Abstract Mean-field treatments of Yang-Mills theory face the problem of how to treat the Gauss law constraint. In this paper we try to face this problem by studying the excited states instead of the ground state. For this purpose we extend the operator approach...
متن کاملParameter Estimation in Spatial Generalized Linear Mixed Models with Skew Gaussian Random Effects using Laplace Approximation
Spatial generalized linear mixed models are used commonly for modelling non-Gaussian discrete spatial responses. We present an algorithm for parameter estimation of the models using Laplace approximation of likelihood function. In these models, the spatial correlation structure of data is carried out by random effects or latent variables. In most spatial analysis, it is assumed that rando...
متن کاملLinear and Generalized Linear Phase
In many applications, it is desirable to design filters that affect the magnitude of the Fourier transform of the input in some way – for example, by attenuating certain frequency components, while affecting the phase as little as possible. Unfortunately, for causal systems, it is not possible to achieve zero phase. Instead, as a design goal, we can try to make the phase as close to linear as p...
متن کاملLinear Random Knots and Their Scaling Behavior
We present here a nonbiased probabilistic method that allows us to consistently analyze knottedness of linear random walks with up to several hundred noncorrelated steps. The method consists of analyzing the spectrum of knots formed by multiple closures of the same open walk through random points on a sphere enclosing the walk. Knottedness of individual “frozen” configurations of linear chains ...
متن کاملLinear Scaling Electronic Structure Methods
Methods exhibiting linear scaling with respect to the size of the system, so called O(N) methods, are an essential tool for the calculation of the electronic structure of large systems containing many atoms. They are based on algorithms which take advantage of the decay properties of the density matrix. In this article the physical decay properties of the density matrix will first be studied fo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: New Journal of Physics
سال: 2022
ISSN: ['1367-2630']
DOI: https://doi.org/10.1088/1367-2630/ac9d5c