Results 101 to 110 of about 607,065 (288)
SINGULAR RANDOM MATRIX DECOMPOSITIONS: DISTRIBUTIONS. [PDF]
Assuming that Y has a singular matrix variate elliptically contoured distribution with respect to the Hausdorff measure, the distributions of several matrices associated to QR, modified QR, SV and Polar decompositions of matrix Y are determined, for ...
Graciela González-Farías +1 more
core
Multidimensional‐Encoded High‐Fidelity Spectrometers With a Floating‐Base Bipolar Junction
Advanced Functional Materials, EarlyView.A floating‐base bipolar junction photodetector enables multidimensional spectral encoding through synergistic gate‐ and drain‐bias modulation of interfacial barrier matching. The resulting complementary spectral responses form a diverse, weakly correlated response matrix, enabling robust and high‐fidelity spectral reconstruction even at sub‐nanoampere ...
Sang‐Hyeon Lee +11 more
wiley +1 more source
Relaxed singular vectors, Jack symmetric functions and fractional level slˆ(2) models
Nuclear Physics B, 2015 The fractional level models are (logarithmic) conformal field theories associated with affine Kac–Moody (super)algebras at certain levels k∈Q. They are particularly noteworthy because of several longstanding difficulties that have only recently been ...
David Ridout, Simon Wood
doaj +1 more source
Singular vector spaces for computing the structured distance to singularity
CoRRFinding the distance to singularity for a matrix is a ubiquitous problem in numerical linear algebra, and is elegantly solved by the Eckart-Young-Mirsky theorem. Its structured variant naturally emerges when one considers structured matrices, and wants to preserve their structure.
openaire +2 more sources
Conical Singular Points and Vector Fields
Vestnik St. Petersburg University, Mathematics, 2020 In this article, several examples of mechanical systems which configuration spaces are smooth manifolds with a unique singular point are considered. Configuration spaces are the following: two smooth curves with a common point (or tangent) on the two-dimensional torus, four smooth curves on the four-dimensional torus with a common point, twodimensional
openaire +2 more sources
Convergence of Singular Vectors toward Lyapunov Vectors
Monthly Weather Review, 1999 The rate at which the leading singular vectors converge toward a single pattern for increasing optimization times is examined within the context of a T21 L3 quasigeostrophic model. As expected, the final-time backward singular vectors converge toward the backward Lyapunov vector, while the initial-time forward singular vectors converge toward the ...
Carolyn A. Reynolds, Ronald M. Errico
openaire +1 more source
Evidence for Itinerant Ferromagnetic Flat Bands Producing Large Transverse Responses
Advanced Materials, EarlyView.Itinerant ferromagnetic flat bands are demonstrated in GdCo5 with a high Curie temperature of 940K, a stacked honeycomb–kagome lattice, through angle‐resolved photoemission spectroscopy and magneto‐thermoelectric measurements. These topological flat bands generate large Berry curvaturte, producing gigantic anomalous Nernst effect with record‐high ...
Susumu Minami +15 more
wiley +1 more source
Role of the Recombination Zone in Organic Light‐Emitting Devices
Advanced Materials, EarlyView.This review summarizes the critical role of the recombination zone in organic light‐emitting diodes (OLEDs). We highlight that broadening the recombination zone in OLEDs based on emissive layers with balanced charge transport and high photoluminescence quantum yields provides a promising route toward achieving both long operational lifetime and high ...
Yungui Li, Karl Leo
wiley +1 more source
Singular random matrix decompositions: Jacobians. [PDF]
, 2002 For a singular random matrix Y, we find the Jacobians associated with the following decompositions; QR, Polar, Singular Value (SVD), L'U, L'DM and modified QR (QDR).
González Farías, Graciela +1 more
core +1 more source
Singular Vector Perturbation Under Gaussian Noise [PDF]
SIAM Journal on Matrix Analysis and Applications, 2015 We perform a non-asymptotic analysis on the singular vector distribution under Gaussian noise. In particular, we provide sufficient conditions on a matrix for its first few singular vectors to have near normal distribution. Our result can be used to facilitate the error analysis in linear dimension reduction.
openaire +4 more sources