Results 91 to 100 of about 80,905 (218)

On extended eigenvalues and extended eigenvectors of truncated shift [PDF]

open access: yesarXiv, 2012
We give a complete description of the set of extended eigenvectors of truncated shifts defined on the model spaces K_u := H^2\ominus uH^2, in the case of u is a Blaschke product.
arxiv  

Eigenvectors and minimal bases for some families of Fiedler-like linearizations

open access: yes, 2014
In this paper, we obtain formulas for the left and right eigenvectors and minimal bases of some families of Fiedler-like linearizations of square matrix polynomials.
M. Bueno, Fernando De Terán
semanticscholar   +1 more source

Towards a Theory of Additive Eigenvectors [PDF]

open access: yesarXiv, 2018
The standard approach in solving stochastic equations is eigenvector decomposition. Using separation ansatz $P(i,t)=u(i)e^{\mu t}$ one obtains standard equation for eigenvectors $Ku=\mu u$, where $K$ is the rate matrix of the master equation. While universally accepted, the standard approach is not the only possibility. Using additive separation ansatz
arxiv  

Impact of Number of Noise Eigenvectors Used on the Resolution Probability of MUSIC

open access: yesIEEE Access, 2019
The MUltiple SIgnal Classification (MUSIC) algorithm is a well-known eigenanalysis technique and has been studied extensively. The algorithm relies on accurate partitioning of the eigenvectors of the spatial correlation matrix between the signal (i.e ...
Ashwin Bhobani Baral, Murat Torlak
doaj   +1 more source

Eigenvectors from eigenvalues revisited [PDF]

open access: yesarXiv, 2019
This is a remark on a recent post by P. Denton, S. Parke, T. Tao, X.
arxiv  

Note on eigenvectors from eigenvalues [PDF]

open access: yesarXiv, 2019
Denton, Parke, Tao and Zhang gave a new method which determines eigenvectors from eigenvalues for Hermitian matrices with distinct eigenvalues. In this short note, we extend the above result to general Hermitian matrices.
arxiv  

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