characteristic equation of a matrix矩阵特征方程,矩阵特征方程 inverse of a matrix矩阵的逆,矩阵的逆,逆矩阵 相似单词 eigenvaluen. 特征值 matrixn. 1.【数学】矩阵 2.(人或社会成长发展的)社会环境,政治局势 3.线路网,道路网 4.【术语】基体,铸模 5.【计算机】矩阵转接电路 6.【地理】杂基 ...
eigenvalue of a square matrix phr. 特征值,方阵的固有值 eigenvalue of a matrix phr. 方阵的固有值 permanent of a square matrix 方阵的永久性 inverse of a square matrix 方阵的逆矩阵 matrix eigenvalue 矩阵特征值,矩阵特征值 characteristic root of a square matrix phr. 特征值,方阵的固有值...
From the measured data, we investigate Transmit Antenna Correlation Coefficient (TxACC), Receive Antenna Correlation Coefficient (RxACC), channel capacity and eigenvalues of HH* where H and (*) are channel frequency response matrix and conjugate transpose. Based on the eigenvalue characteristics, we...
How to find the eigenvalues of an orthogonal 2x2 matrix? 1) Find the eigenvalues and eigenvectors of the following matrix A = [1 1 ? 1 0 0 1 0 1 0 ] 2) Find the eigenvalues and eigenvectors of the following matrix A =[ 2 2 ? 2 1 2 0 ? 1 0 2 ] ...
Given a matrix M of the order n×n, its eigen values are given by the roots of the characteristic equation, |M−λI|=0 where, I is the identity matrix of the same order as M i.e. n×n Note: The above equation gives us a polynomial of variable λ in the left hand side, ...
Ais a×2real matrix with an eigenvalueλi and corresponding eigenvector vec(v)=[-1+ii] Determine a fundamental set(i.e.,linearly independent set)of solutions for vec(y)'=Avec(y),where the fundamental set consists entire...
This paper compares the accuracy of the eigenvalues computed by four different matrix methods currently in use: (1) a finite difference method, (2) a cubic spline method, (3) a linear finite element method, and (4) a cubic finite element method. Some implications of using these matrix ...
aFor the case of an eigenvalue # of matrix A(p) turns from - to + ,system (1) loses its small signal stability and the instability mode is monotonous divergence. 为本征值的事例#矩阵A (p)轮从-对+,系统(1)丢失它的弱信号稳定和不稳定方式是单调分歧。[translate]...
2 0 0 0 4 5 0 4 3 0 1 −1 = 0 4−5 4−3 = 0 −1 1 And λv: −1 0 1 −1 = 0 −1 1 So Av = λv, yay! (You can try your hand at the eigenvalues of 2 and 8)RotationBack in the 2D world again, this matrix will do a rotation by θ:cos...
Abstract It is shown that the second largest eigenvalue of the adjacency matrix of any d-regular graph G containing two edges the distance between which is at least 2k + 2 is at least 2d − 1 −(2d − 1 − 1)/(k+1).