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On the finiteness of logarithmic Hamiltonians for Volterra-type lattices in terms of the spectral measures of Jacobi operators

Andrey Osipov

TL;DR

This work investigates when the logarithmic Hamiltonian $H_0=\frac{1}{2}\sum_n \ln a_n$ of Volterra-type lattices remains finite and ties this finiteness to the spectral measures of associated Jacobi operators. Employing the inverse spectral theory, Nikishin’s orthogonal-polynomial framework, Szegő-type entropy conditions, and Lax-pair representations, it establishes a precise correspondence between finite $H_0$ and even spectral measures with essential support in $[-2,2]$ satisfying the Szegő condition, with an extension to the infinite lattice via a spectral-matrix formalism and the Peherstorfer–Yuditskii criterion for infinite point spectrum. The analysis also covers the modified Volterra lattice and shows how measure evolution $d\rho(\lambda,t)=K(t)e^{\lambda^2 t} d\rho(\lambda,0)$ yields a time-parametrized family of finite-$H_0$ lattices, while ensuring the essential spectral support and mass-point structure are controlled. This provides a rigorous bridge between integrable lattice dynamics and classical spectral theory of Jacobi operators, with potential implications for inverse problems and extensions to related Bogoyavlensky-type systems.

Abstract

We establish a correspondence between the semi-infinite and infinite Volterra lattices having a finite logarithmic Hamiltonian and certain classes of even probability measures. In doing so, we apply the inverse spectral theory of Jacobi operators and the theory of orthogonal polynomials. A similar correspondence is established for semi-infinite modified Volterra lattices.

On the finiteness of logarithmic Hamiltonians for Volterra-type lattices in terms of the spectral measures of Jacobi operators

TL;DR

This work investigates when the logarithmic Hamiltonian of Volterra-type lattices remains finite and ties this finiteness to the spectral measures of associated Jacobi operators. Employing the inverse spectral theory, Nikishin’s orthogonal-polynomial framework, Szegő-type entropy conditions, and Lax-pair representations, it establishes a precise correspondence between finite and even spectral measures with essential support in satisfying the Szegő condition, with an extension to the infinite lattice via a spectral-matrix formalism and the Peherstorfer–Yuditskii criterion for infinite point spectrum. The analysis also covers the modified Volterra lattice and shows how measure evolution yields a time-parametrized family of finite- lattices, while ensuring the essential spectral support and mass-point structure are controlled. This provides a rigorous bridge between integrable lattice dynamics and classical spectral theory of Jacobi operators, with potential implications for inverse problems and extensions to related Bogoyavlensky-type systems.

Abstract

We establish a correspondence between the semi-infinite and infinite Volterra lattices having a finite logarithmic Hamiltonian and certain classes of even probability measures. In doing so, we apply the inverse spectral theory of Jacobi operators and the theory of orthogonal polynomials. A similar correspondence is established for semi-infinite modified Volterra lattices.

Paper Structure

This paper contains 5 sections, 8 theorems, 96 equations.

Key Result

Theorem 1

Each even probability measure $d\tilde{\rho}(\xi)$ with essential support coinciding with the interval $[-2,2],$ having a finite number of mass points on $\mathbb{R}\backslash [-2,2]$ and satisfying seg20, generates the semi-infinite Volterra lattice with a finite logarithmic Hamiltonian $\tilde{H}_0 =\sum_n \ln \tilde{a}_n$ by means of the following procedure

Theorems & Definitions (8)

  • Theorem 1
  • Theorem 2
  • Theorem 3
  • Corollary 1
  • Corollary 2
  • Theorem 4
  • Theorem 5
  • Theorem 6