Identification of the near-critical limit with the derivative-martingale measure

Let MγM^{\gamma} be the subcritical chaos measures for γ2<2d\gamma^2<2d, and let McM^c be the positive random measure obtained in Proposition 3.1 as a limit λnMγn(dx)lawMc(dx)\lambda_n M^{\gamma_n}(dx)\stackrel{\mathrm{law}}{\to}M^c(dx) for sequences with γn2<2d\gamma_n^2<2d and γn22d\gamma_n^2\to2d. Let MM' denote the derivative-martingale measure constructed earlier. Near-critical identification conjecture. The measure McM^c equals, up to a multiplicative constant, the derivative-martingale measure MM' described in the derivative construction. Moreover, the sequence may be chosen as

λn=12dγn.\lambda_n=\frac{1}{\sqrt{2d}-\gamma_n}.

This conjecture links the alternative near-critical construction to the derivative martingale and predicts the precise first-order normalization. The source presents it as a consequence of the preceding uniqueness conjecture, not as a proved result.

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Primary source

Bertrand Duplantier, Rémi Rhodes, Scott Sheffield and Vincent Vargas, “Critical Gaussian multiplicative chaos: Convergence of the derivative martingale”, arXiv:1206.1671 (2014).

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