Selberg distribution conjecture for Bacry–Muzy GMC on the interval

Let Mμ(ds)M_\mu(ds) denote the Bacry–Muzy GMC measure on the interval, with covariance function r(t)r(t) as in the source, and set τ=2/μ\tau=2/\mu. For parameters λ1\lambda_1 and λ2\lambda_2, consider the weighted total mass

01sλ1(1s)λ2Mμ(ds).\int_0^1 s^{\lambda_1}(1-s)^{\lambda_2}\,M_\mu(ds).

Selberg distribution conjecture. Its distribution has Mellin transform

(2πτ1/τΓ(11/τ))qΓ2(1q+τ(1+λ1)τ)Γ2(1+τ(1+λ1)τ)Γ2(1q+τ(1+λ2)τ)Γ2(1+τ(1+λ2)τ)Γ2(q+ττ)Γ2(ττ)Γ2(2q+τ(2+λ1+λ2)τ)Γ2(22q+τ(2+λ1+λ2)τ),\left(\frac{2\pi\,\tau^{1/\tau}}{\Gamma(1-1/\tau)}\right)^q\frac{\Gamma_2(1-q+\tau(1+\lambda_1)\mid\tau)}{\Gamma_2(1+\tau(1+\lambda_1)\mid\tau)}\frac{\Gamma_2(1-q+\tau(1+\lambda_2)\mid\tau)}{\Gamma_2(1+\tau(1+\lambda_2)\mid\tau)}\frac{\Gamma_2(-q+\tau\mid\tau)}{\Gamma_2(\tau\mid\tau)}\frac{\Gamma_2(2-q+\tau(2+\lambda_1+\lambda_2)\mid\tau)}{\Gamma_2(2-2q+\tau(2+\lambda_1+\lambda_2)\mid\tau)},

i.e. it is the Selberg integral probability distribution. This conjecture was previously known in special and general cases according to the source, but it is not resolved in the supplied status information.

Sources & referencesView supporting material

Primary source

Dmitry Ostrovsky, “A Theory of Intermittency Renormalization of Gaussian Multiplicative Chaos Measures”, arXiv:1609.09387 (2018).

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