Selberg distribution conjecture for Bacry–Muzy GMC on the interval

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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(1−s)λ2 Mμ(ds).\int_0^1 s^{\lambda_1}(1-s)^{\lambda_2}\,M_\mu(ds).

Selberg distribution conjecture. Its distribution has Mellin transform

(2π τ1/τΓ(1−1/τ))qΓ2(1−q+τ(1+λ1)∣τ)Γ2(1+τ(1+λ1)∣τ)Γ2(1−q+τ(1+λ2)∣τ)Γ2(1+τ(1+λ2)∣τ)Γ2(−q+τ∣τ)Γ2(τ∣τ)Γ2(2−q+τ(2+λ1+λ2)∣τ)Γ2(2−2q+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.

References

Primary source

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

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