2008
DOI: 10.1007/s10955-008-9491-5
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Exact Minimum Eigenvalue Distribution of an Entangled Random Pure State

Abstract: A recent conjecture regarding the average of the minimum eigenvalue of the reduced density matrix of a random complex state is proved. In fact, the full distribution of the minimum eigenvalue is derived exactly for both the cases of a random real and a random complex state. Our results are relevant to the entanglement properties of eigenvectors of the orthogonal and unitary ensembles of random matrix theory and quantum chaotic systems. They also provide a rare exactly solvable case for the distribution of the … Show more

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Cited by 54 publications
(95 citation statements)
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“…for k = 1, ..., r. The g jk and H jk within the Pfaffian in (26) are as in (19), (22) and (23). In reference [46], the r-point correlation function for the unrestricted Bures-Hall ensemble has been derived by exploiting its relationship with the Cauchy twomatrix ensemble.…”
Section: K=mentioning
confidence: 99%
“…for k = 1, ..., r. The g jk and H jk within the Pfaffian in (26) are as in (19), (22) and (23). In reference [46], the r-point correlation function for the unrestricted Bures-Hall ensemble has been derived by exploiting its relationship with the Cauchy twomatrix ensemble.…”
Section: K=mentioning
confidence: 99%
“…It is seen from the figure that whereas λ 1 monotonically decreases towards its random matrix average of ≈ 4/N , other principal eigenvalues, such as the second or third largest, display a nonmonotonic approach to their respective averages. The smallest eigenvalue, λ N grows to about 1/N 3 , which is the random matrix average [102,103]. For Λ 1, the probability density of the set of λ i follows the Marčenko-Pastur distribution given in Eq.…”
Section: Eigenvalue Moments Of the Reduced Density Matrixmentioning
confidence: 99%
“…(9). The largest alone is distributed according to the Tracy-Widom density (after appropriate scaling and shift) [104], whereas the smallest is known to be exponential [103]. Numerical results for the transition towards these results are presented in Sect.…”
Section: Eigenvalue Moments Of the Reduced Density Matrixmentioning
confidence: 99%
“…. , λ n−1 , s) factorises Majumdar, Bohigas and Lakshminarayan [34] computed the distribution and moments of the smallest eigenvalue λ ↓ n of complex fixed-trace Wishart matrices in terms of elementary functions in the case m = n. Let (λ 1 , . .…”
Section: Discussionmentioning
confidence: 99%