Results 71 to 80 of about 242,274 (310)

New inequalities on the Fan product of M-matrices

open access: yesJournal of Inequalities and Applications
This paper focuses on the minimum eigenvalue involving the Fan product. By utilizing the Hölder inequality and the classic eigenvalue inclusion theorem, we introduce two novel lower bounds for τ ( A 1 ⋆ A 2 ) $\tau \left ( A_{1}\star A_{2} \right ...
Qin Zhong, Na Li, Chunlan Li
doaj   +1 more source

Frequency and power estimation of sinusoids using eigen-approach [PDF]

open access: yesMATEC Web of Conferences, 2019
Frequency and power estimation of sinusoidal signals, has captured the attention of researchers due to its important applications. This paper involves a frequency and power estimation method of unidentified number of source sinusoidal signals using Eigen
Mismar M.J., Elissa F.B.
doaj   +1 more source

Orbital Topology of Chiral Crystals for Orbitronics

open access: yesAdvanced Materials, EarlyView.
Chirality is ubiquitous in nature and constitutional for life. In chiral materials the intrinsic handedness, defined by their crystal structure, becomes a main driver for a novel electronic topology that is based on the orbital angular momentum rather than the electron spin.
Kenta Hagiwara   +16 more
wiley   +1 more source

Extreme Value Statistics of Eigenvalues of Gaussian Random Matrices

open access: yes, 2008
We compute exact asymptotic results for the probability of the occurrence of large deviations of the largest (smallest) eigenvalue of random matrices belonging to the Gaussian orthogonal, unitary and symplectic ensembles.
A. Aazami   +5 more
core   +1 more source

Inequalities for the Minimum Eigenvalue of Doubly Strictly Diagonally Dominant M-Matrices

open access: yesJournal of Applied Mathematics, 2014
Let A be a doubly strictly diagonally dominant M-matrix. Inequalities on upper and lower bounds for the entries of the inverse of A are given. And some new inequalities on the lower bound for the minimal eigenvalue of A and the corresponding eigenvector ...
Ming Xu, Suhua Li, Chaoqian Li
doaj   +1 more source

Precision Synthesis of a Single Chain Polymorph of a 2D Solid within Single‐Walled Carbon Nanotubes

open access: yesAdvanced Materials, EarlyView.
The precise synthesis of 1D materials has enabled the discovery of physical properties only accessible in length scales close to the atomic scale. Herein, it is demonstrated that encapsulation within single‐walled carbon nanotubes with matching diameters leads to a stoichiometric quasi‐1D van der Waals polymorph of a 2D pnictogen chalcogenide, Sb2Te3 ...
Griffin M. Milligan   +8 more
wiley   +1 more source

Interface Topology Driven Loss Minimization in Integrated Photonics: THz Ultrahigh‐Q Cavities and Waveguides

open access: yesAdvanced Materials, EarlyView.
Compact, robust, and ultralow‐loss on‐chip photonic devices are essential for densely integrated photonic chips. Here, the underlying radiation mechanism in topological valley edge states is unveiled and a new methodology of interface topology driven bandgap and wavevector engineering is proposed to thoroughly suppress their radiation losses, thereby ...
Zhonglei Shen   +6 more
wiley   +1 more source

Adiabatic optimization without local minima [PDF]

open access: yes, 2014
Several previous works have investigated the circumstances under which quantum adiabatic optimization algorithms can tunnel out of local energy minima that trap simulated annealing or other classical local search algorithms.
Jarret, Michael, Jordan, Stephen P.
core  

On Riemannian manifolds with positive weighted Ricci curvature of negative effective dimension

open access: yes, 2018
In this paper, we investigate complete Riemannian manifolds satisfying the lower weighted Ricci curvature bound $\mathrm{Ric}_{N} \geq K$ with $K>0$ for the negative effective dimension $N0$, as a counterpart to the classical Obata rigidity theorem.
Mai, Cong Hung
core   +1 more source

Improving the condition number of estimated covariance matrices

open access: yesTellus: Series A, Dynamic Meteorology and Oceanography, 2020
High dimensional error covariance matrices and their inverses are used to weight the contribution of observation and background information in data assimilation procedures.
Jemima M. Tabeart   +4 more
doaj   +1 more source

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