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Fuglede--Kadison Determinants of Shifted Matrix Semicircles

Vladislav Kargin

Source record

Source: arXiv

Published: Oct 10, 2026

arXiv: 2610.15180

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Source abstract

We prove a variational formula for the Fuglede-Kadison determinant of a self-adjoint matrix semicircle Sa=a⊗1+∑jAj⊗sjS_a = a \otimes 1 + \sum_j A_j \otimes s_j with deterministic mean aa. For every real zz, log⁡Δ(Sa−z)=−1/2+inf⁡bFz(b)\log Δ(S_a - z) = -1/2 + \inf_b F_z(b), where the infimum is over positive definite matrices bb such that the map X↦bXb−∑jAjXAjX \mapsto bXb - \sum_j A_j X A_j is positive semidefinite, and FzF_z is an explicit geodesically convex function. Both sides equal −∞-\infty exactly when zz is an atom of the spectral measure. The formula was proposed, without proof, in a recent post of Speicher. In the centered case a=0a=0 it gives a new proof of the Mai-Speicher capacity formula, and by hermitization it yields a finite-dimensional variational formula for the logarithmic potential of the Brown measure of an arbitrary matrix-valued semicircular element. The proof identifies the determinant with the value of the Dyson action at its critical point and rewrites this critical-point problem as a saddle problem in three matrix variables. For a spectral parameter z+iεz + i\varepsilon in the upper half-plane, eliminating two of the variables gives a geodesically convex minimization whose global minimizer is the positive factor bεb_\varepsilon in a symmetric unitary factorization of the matrix Cauchy transform. The formula on the real axis follows by letting ε→0\varepsilon \to 0 in the optimal values, with no compactness assumption on the minimizers. At points where the boundary value of the Cauchy transform is nondegenerate, the scales bεb_\varepsilon converge and the infimum is attained at their limit; this minimizer lies on the boundary of the feasible set when zz is in the support of the spectral measure and in its interior when zz is in the resolvent set.

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