English
Related papers

Related papers: Optimal Algorithms for Quantifying Spectral Size w…

200 papers

Quasiperiodic Jacobi operators arise as mathematical models of quasicrystals and in more general studies of structures exhibiting aperiodic order. The spectra of these self-adjoint operators can be quite exotic, such as Cantor sets, and…

Spectral Theory · Mathematics 2014-12-30 Charles Puelz , Mark Embree , Jake Fillman

Spectral measures arise in numerous applications such as quantum mechanics, signal processing, resonances, and fluid stability. Similarly, spectral decompositions (pure point, absolutely continuous and singular continuous) often…

Spectral Theory · Mathematics 2021-03-02 Matthew John Colbrook

We survey results that have been obtained for self-adjoint operators, and especially Schr\"odinger operators, associated with mathematical models of quasicrystals. After presenting general results that hold in arbitrary dimensions, we focus…

Mathematical Physics · Physics 2016-04-22 David Damanik , Mark Embree , Anton Gorodetski

We consider discrete one-dimensional Schr\"odinger operators with quasi-Sturmian potentials. We present a new approach to the trace map dynamical system which is independent of the initial conditions and establish a characterization of the…

Mathematical Physics · Physics 2014-12-30 David Damanik , Daniel Lenz

Schr\"odinger operators with periodic (possibly complex-valued) potentials and discrete periodic operators (possibly with complex-valued entries) are considered, and in both cases the computational spectral problem is investigated: namely,…

Spectral Theory · Mathematics 2021-04-21 Jonathan Ben-Artzi , Marco Marletta , Frank Rösler

Periodic approximations of quasicrystals are a powerful tool in analyzing spectra of Schr\"odinger operators arising from quasicrystals, given the known theory for periodic crystals. Namely, we seek periodic operators whose spectra…

Dynamical Systems · Mathematics 2024-08-20 Lior Tenenbaum

The determination of the spectrum of a Schr\"odinger operator is a fundamental problem in mathematical quantum mechanics. We discuss a series of results showing that Schr\"odinger operators can exhibit spectra that are remarkably thin in…

Spectral Theory · Mathematics 2020-07-06 David Damanik , Jake Fillman

Computing spectra is a central problem in computational mathematics with an abundance of applications throughout the sciences. However, in many applications gaining an approximation of the spectrum is not enough. Often it is vital to…

Spectral Theory · Mathematics 2022-09-20 Matthew J. Colbrook

We study Schr\"odinger operators on $\R$ with measures as potentials. Choosing a suitable subset of measures we can work with a dynamical system consisting of measures. We then relate properties of this dynamical system with spectral…

Mathematical Physics · Physics 2016-06-28 Daniel Lenz , Christian Seifert , Peter Stollmann

We survey results concerning the spectral properties of limit-periodic operators. The main focus is on discrete one-dimensional Schr\"odinger operators, but other classes of operators, such as Jacobi and CMV matrices, continuum…

Spectral Theory · Mathematics 2018-02-19 David Damanik , Jake Fillman

Spectral gaps play a fundamental role in many areas of mathematics, computer science, and physics. In quantum mechanics, the spectral gap of Schr\"odinger operators has a long history of study due to its physical relevance, while in quantum…

Quantum Physics · Physics 2025-10-08 Sander Gribling , Simon Apers , Harold Nieuwboer , Michael Walter

We study the spectral and wavefunction properties of a one-dimensional incommensurate system with p-wave pairing and unveil that the system demonstrates a series of particular properties in its ciritical region. By studying the spectral…

Statistical Mechanics · Physics 2018-01-03 Yucheng Wang , Yancheng Wang , Shu Chen

We construct multidimensional almost-periodic Schr\"odinger operators whose spectrum has zero lower box counting dimension. In particular, the spectrum in these cases is a generalized Cantor set of zero Lebesgue measure.

Spectral Theory · Mathematics 2019-05-01 David Damanik , Jake Fillman , Anton Gorodetski

We investigate the spectral properties of Schr\"odinger operators in l^2(Z) with limit-periodic potentials. The perspective we take was recently proposed by Avila and is based on regarding such potentials as generated by continuous sampling…

Spectral Theory · Mathematics 2015-01-05 David Damanik , Zheng Gan

We prove that the size of the spectral gaps of weakly coupled quasi-periodic Schr\"odinger operators with Liouville frequencies decays exponentially. As an application, we obtain the homogeneity of the spectrum.

Spectral Theory · Mathematics 2021-11-03 Wencai Liu , Yunfeng Shi

Using the resolvent operator, we develop an algorithm for computing smoothed approximations of spectral measures associated with self-adjoint operators. The algorithm can achieve arbitrarily high-orders of convergence in terms of a…

Numerical Analysis · Mathematics 2020-12-02 Matthew J. Colbrook , Andrew Horning , Alex Townsend

Self-adjoint operators on infinite-dimensional spaces with continuous spectra are abundant but do not possess a basis of eigenfunctions. Rather, diagonalization is achieved through spectral measures. The SpecSolve package [SIAM Rev., 63(3)…

Numerical Analysis · Mathematics 2022-01-06 Matthew J. Colbrook , Andrew Horning

Many novel and unique physical phenomena of incommensurate systems can be illustrated and predicted using the spectra of the associated Schr\"odinger operators. However, the absence of periodicity in these systems poses significant…

Mathematical Physics · Physics 2026-02-10 Yan Li , Yujian Song , Aihui Zhou

The paper deals with the semi-Dirac operator in a half-space arising in the description of quasiparticles in quantum mechanics as well as in semi-metals materials and related structures. It completely shows the self-adjointness, computes…

Mathematical Physics · Physics 2024-06-28 Tuyen Vu

Spectral algorithms leverage spectral regularization techniques to analyze and process data, providing a flexible framework for addressing supervised learning problems. To deepen our understanding of their performance in real-world…

Machine Learning · Statistics 2025-07-23 Jun Fan , Zheng-Chu Guo , Lei Shi
‹ Prev 1 2 3 10 Next ›