Results 11 to 20 of about 5,734,459 (326)
Spectral density of the non-backtracking operator on random graphs [PDF]
arXiv.org, 2014 The non-backtracking operator was recently shown to provide a significant improvement when used for spectral clustering of sparse networks. In this paper we analyze its spectral density on large random sparse graphs using a mapping to the correlation ...
Alaa Saade +2 more
semanticscholar +3 more sources
Dirac operator spectral density and low energy sum rules [PDF]
, 2000 The spectral density of euclidean Dirac operator is investigated in partially quenched QCD with arbitrary quark masses. A representation of scalar and pseudoscalar correlators in terms of the spectral density is discussed.
K. N. Zyablyuk
openalex +3 more sources
Accurate Truncations of Chain Mapping Models for Open Quantum Systems
Nanomaterials, 2021 The dynamics of open quantum systems are of great interest in many research fields, such as for the interaction of a quantum emitter with the electromagnetic modes of a nanophotonic structure.
Mónica Sánchez-Barquilla +1 more
doaj +1 more source
Analytical spectral density of the Sachdev-Ye-Kitaev model at finite N [PDF]
, 2017 We show analytically that the spectral density of the $q$-body Sachdeev-Ye-Kitaev (SYK) model agrees with that of Q-Hermite polynomials with Q a non-trivial function of $q \ge 2$ and the number of Majorana fermions $N \gg 1$.
Antonio M. Garc'ia-Garc'ia +1 more
semanticscholar +1 more source
Open Systems with Error Bounds: Spin-Boson Model with Spectral Density Variations. [PDF]
Physical Review Letters, 2016 In the study of open quantum systems, one of the most common ways to describe environmental effects on the reduced dynamics is through the spectral density.
F. Mascherpa +3 more
semanticscholar +1 more source
New Insights into the Lamb Shift: The Spectral Density of the Shift
Physics, 2022 In an atom, the interaction of a bound electron with the vacuum fluctuations of the electromagnetic field leads to complex shifts in the energy levels of the electron, with the real part of the shift corresponding to a shift in the energy level and the ...
G. Jordan Maclay
doaj +1 more source
How Powerful are Spectral Graph Neural Networks [PDF]
International Conference on Machine Learning, 2022 Spectral Graph Neural Network is a kind of Graph Neural Network (GNN) based on graph signal filters. Some models able to learn arbitrary spectral filters have emerged recently. However, few works analyze the expressive power of spectral GNNs.
Xiyuan Wang, Muhan Zhang
semanticscholar +1 more source
Stochastic modeling of algal bloom dynamics with delayed nutrient recycling
Mathematical Biosciences and Engineering, 2019 Using the discrete Markov chain, in this paper we develop a stochastic model for algal bloom, in which white noise terms are introduced to describe the e ects of environmental random fluctuations and time delay to account for the time needed in the ...
Xuehui Ji +3 more
doaj +1 more source
Spectral Density on the Lattice [PDF]
, 1995 Spectral density in the pseudoscalar and vector channels is extracted from the SU(2) lattice quenched data. It is shown to consist of three sharp poles within the energy range accessible on the lattice.Comment: 38 pages, uuencoded tar-compressed ps ...
Bacilier +21 more
core +2 more sources
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2013 Determining and forecasting of environmental influence of telecommunication equipment that is a source of electromagnetic radiation is still an actual challenge.
Oleksandr Naumchuk
doaj +1 more source