We give a general framework for the joint probability density of an eigenvalue and the corresponding eigenvector. This we exactly determine for random Hamiltonians of the form H=S+i{α}A where S (A) are symmetric (antisymmetric) N-dimensional matrices whose elements are normally distributed. The random matrices H represent the Gaussian ensemble intermediate between orthogonal ({α}=0) and unitary ({α}=1). In the limit of N{→}{∞}, we give the explicit form of the probability density of one component of an eigenvector in the crossover region, α²=scrO(1/N).
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Sommers et al. (1994) studied this question.
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