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The Largest Eigenvalue

Optimal quadratic bounds for the largest eigenvalue of correlation matrices under restricted information

Optimal quadratic bounds for the largest eigenvalue of correlation matrices under restricted information

... R  ( ij ), 1  ,  , with unit diagonal elements, one has always Tr ( R )  n , and the separate knowledge of Tr ( R 2 ) and det(R ) does not provide full information. It is therefore justified to search for further ...

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Optimal Bounds for the Largest Eigenvalue of a 3 × 3 Correlation Matrix

Optimal Bounds for the Largest Eigenvalue of a 3 × 3 Correlation Matrix

... More recently, Zhan [5] obtains the optimal bounds for the smallest and largest eigenvalues of real symmetric matrices whose entries belong to a fixed finite interval.. However, when res[r] ...

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Eigenvalues of the resistance distance matrix of complete multipartite graphs

Eigenvalues of the resistance distance matrix of complete multipartite graphs

... the largest eigenvalue of the resistance-distance matrix of complete multipartite ...second largest eigenvalue of the resistance-distance matrix of complete multipartite ...

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On the Performance Analysis and Evaluation of Scaled Largest Eigenvalue in Spectrum Sensing: A Simple Form Approach

On the Performance Analysis and Evaluation of Scaled Largest Eigenvalue in Spectrum Sensing: A Simple Form Approach

... the largest eigenvalue and the trace is studied and simple expressions are ...the largest eigenvalue and the trace, under H 0 , decreases as the number of antenna increases but it could not be ...

8

A Power Allocation Scheme Using Updated SLNR Value Based on Perturbation Theory

A Power Allocation Scheme Using Updated SLNR Value Based on Perturbation Theory

... the largest eigenvalue of the general- ized vector, we can use the perturbation theory to update each user’s SLNR value as well as the generalized ei- genvector corresponding to the slowly varying channel ...

6

The panel conditionally homogenous vectorautoregressive model

The panel conditionally homogenous vectorautoregressive model

... the largest eigenvalue of the PCHVAR model at all possible combinations of the conditioning variables is produced, see Figure ...the largest eigenvalue of the companion matrix in the PCHVAR ...

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On eigenvalue inequalities of a matrix whose graph is bipartite

On eigenvalue inequalities of a matrix whose graph is bipartite

... we prove that similar bounds hold for the other eigenvalues (not only for the second largest one). We also deduce, in the nonbipartite case, similar properties for a real symmetric matrix with zero diagonal with ...

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Parameters and solutions of linear and nonlinear oscillators

Parameters and solutions of linear and nonlinear oscillators

... In this work, relationship between existence of solutions for classes of nonlinear boundary value problems with equations of the form 1.1 and the smallest.. or the largest eigenvalue of [r] ...

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CHARACTERISTIC CORRELATION OF EEG SIGNAL THE MOTOR MOVEMENT TO MEXICAN HAT WAVELET

CHARACTERISTIC CORRELATION OF EEG SIGNAL THE MOTOR MOVEMENT TO MEXICAN HAT WAVELET

... the largest eigenvalue of the covariance matrix of the group of the correlated signal was then used as a characteristic EEG signals for motor movement that, in turn, could result in a potential change in ...

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A result on precise asymptotics for largest eigenvalues of β ensembles

A result on precise asymptotics for largest eigenvalues of β ensembles

... extremal eigenvalue, have been discussed in ...the largest eigenvalue of G(O/U/S)E, after being centered and scaled properly, converges to the Tracy-Widom type distribution, which is an ...

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A Maximum Eigenvalue Approximation for Crack-Sizing Using Ultrasonic Arrays

A Maximum Eigenvalue Approximation for Crack-Sizing Using Ultrasonic Arrays

... for various lengths of array (l=32mm (blue), 64mm (red), 128mm (yellow) and 256mm (green)). This seems counterintuitive, however, as the array length is increased (and the array aperture angle is increased) then there is ...

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Spectrum Sensing with Largest Eigenvalue in Cooperative Cognitive Vehicular Networks

Spectrum Sensing with Largest Eigenvalue in Cooperative Cognitive Vehicular Networks

... The exact performance of LE detector has been analyzed. According to [10], under hypothesis , the covariance matrix S follows the complex central Wishart distribution, which can be denoted as S ~4 0, % ) 2 , where ) is a ...

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Nonlinear eigenvalue problems

Nonlinear eigenvalue problems

... This paper presents an asymptotic study of the differential equation y 0 (x) = cos[πxy(x)] subject to the initial condition y(0) = a. While this differential equation is nonlinear, the solutions to the initial-value ...

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Nonlinear eigenvalue problems

Nonlinear eigenvalue problems

... linear eigenvalue problems this limit is accessible by using WKB ...nonlinear eigenvalue problem solved in this paper the large-eigenvalue limit is accessible because the problem becomes linear in ...

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Numerical Methods for Large Eigenvalue Problems - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials

Numerical Methods for Large Eigenvalue Problems - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials

... This chapter introduces some elementary spectral theory for linear operators on finite dimensional spaces as well as some elements of perturbation analysis. The main question that perturbation theory addresses is: how ...

285

Systematic Link of Modal Identification with Model Updating

Systematic Link of Modal Identification with Model Updating

... The elastic modulus of the model can be obtained by model updating using the eigenvalue and strain measurement mode shape provided by the modal identification. Figure 6(a) compares the elastic moduli of the ...

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Inverse eigenvalue problem for matrices whose graph is a banana tree

Inverse eigenvalue problem for matrices whose graph is a banana tree

... inverse eigenvalue problem (IEP) concerns the reconstruction of a matrix from pre- scribed spectral ...inverse eigenvalue problems is mentioned. Special types of inverse eigenvalue problems have ...

13

Small Signal Stability Analysis of Wind Power System Based on DFIG

Small Signal Stability Analysis of Wind Power System Based on DFIG

... In this paper, we build the model of DFIG for small- signal stability analysis and modify the 3-generator 9-bus WECC test system to study the impact of large scale in- tegration of wind power on power system small-signal ...

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Smooth eigenvalue correction

Smooth eigenvalue correction

... If the distribution of the data is (approximately) known, finite sample size eigenvalue distributions have been determined for several data distributions. These solution can take advantage of details lost in the ...

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Evaluation of drought resistance in Iris germanica L. based on subordination function and principal component analysis

Evaluation of drought resistance in Iris germanica L. based on subordination function and principal component analysis

... The largest increasing amplitude on SOD was 104 % in ‘Adventure’, while the least was detected in ‘Purple Glow’, which increased by ...The largest increase in Chl content, ...the largest decrease was ...

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