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Szegő Kernel and Symplectic Aspects of Spectral Transform for Extended Spaces of Rational Matrices
Marco Bertola, Dmitry Korotkin, Ramtin Sasani Department of Mathematics and Statistics, Concordia University, 1455 de Maisonneuve W., Montréal, H3G 1M8 Québec, Canada
Abstract:
We revisit the symplectic aspects of the spectral transform for matrix-valued rational functions with simple poles. We construct eigenvectors of such matrices in terms of the Szegő kernel on the spectral curve. Using variational formulas for the Szegő kernel we construct a new system of action-angle variables for the canonical symplectic form on the space of such functions. Comparison with previously known action-angle variables shows that the vector of Riemann constants is the gradient of some function on the moduli space of spectral curves; this function is found in the case of matrix dimension 2, when the spectral curve is hyperelliptic.
Keywords:
spectral transform, Szegő kernel, variational formulas.
Received: March 14, 2023; in final form December 2, 2023; Published online December 22, 2023
Citation:
Marco Bertola, Dmitry Korotkin, Ramtin Sasani, “Szegő Kernel and Symplectic Aspects of Spectral Transform for Extended Spaces of Rational Matrices”, SIGMA, 19 (2023), 104, 22 pp.
Linking options:
https://www.mathnet.ru/eng/sigma1999 https://www.mathnet.ru/eng/sigma/v19/p104
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Abstract page: | 38 | Full-text PDF : | 13 | References: | 15 |
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