Abstract :
We consider a complex-valued L times L square matrix whose diagonal elements are unity, and lower and upper diagonal elements are the same, each lower diagonal element being equal to a (a ne 1) and each upper diagonal element being equal to b (b ne 1). We call this matrix the generalized semiuniform matrix, and denote it as M(a, b, L). For this matrix, we derive closed-form expressions for the characteristic polynomial, eigenvalues, and eigenvectors. Treating the non-real-valued uniform correlation matrix M(a, a*,L), where (middot)* denotes the complex conjugate and a ne a*, as a Hermitian generalized semi-uniform matrix, we obtain the eigenvalues and eigenvectors of M(a, a*, L) in closed form. The results are applied to the analysis of communication systems using diversity.
Keywords :
correlation methods; eigenvalues and eigenfunctions; matrix algebra; Hermitian generalized semi-uniform matrix; characteristic polynomial; communication systems; complex-valued square matrix; diversity; eigenvalues; eigenvectors; generalized semiuniform matrix; uniform correlation matrix; Closed-form solution; Communication systems; Communications Society; Eigenvalues and eigenfunctions; Electrical engineering; Fading; Matrices; Polynomials;