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This work reveals the Fourier dimensions for Gaussian multiplicative chaos on the high dimensional torus, indicating significant insights for understanding this chaotic phenomenon.
We determine the exact values of the Fourier dimensions for Gaussian Multiplicative Chaos measures on the d-dimensional torus Tᵈ for all integers d ≥ 1. This resolves a problem left open in previous works [LQT24,LQT25] for high dimensions d≥ 3. The proof relies on a new construction of log-correlated Gaussian fields admitting specific decompositions into smooth processes with high regularity. This construction enables a multi-resolution analysis to obtain sharp local estimates on the measure's Fourier decay. These local estimates are then integrated into a global bound using Pisier's martingale type inequality for vector-valued martingales.
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Chen et al. (2025) studied this question.
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