A new Markov kernel intertwines beta-Laguerre processes with the same inverse temperature beta, generalizing a known beta=2 result to all beta>=1.
The intertwining property for Laguerre processes with a fixed parameter
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abstract
We investigate the intertwining of Laguerre processes of parameter $\alpha$ in different dimensions. We introduce a Feller kernel that depends on $\alpha $ and intertwines the $\alpha$-Laguerre process in $N+1$ dimensions and that in $N$ dimensions. When $\alpha $ is a non-negative integer, the new kernel is interpreted in terms of the conditional distribution of the squared singular values: if the singular values of a unitarily invariant random matrix of order $(N+\alpha +1) \times (N+1)$ are fixed, then the those of its $(N+\alpha) \times N $ truncation matrix are given by the new kernel.
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The intertwining property for $\beta $-Laguerre processes and integral operators for Jack polynomials
A new Markov kernel intertwines beta-Laguerre processes with the same inverse temperature beta, generalizing a known beta=2 result to all beta>=1.