The probabilistic scaling conjecture for nonlinear Schrödinger equations
The probabilistic scaling conjecture for nonlinear Schrödinger equations
Let and be positive integers, and let be the critical threshold for probabilistic scaling. Consider the nonlinear Schrödinger equation referred to as and random initial data
where the are independent Gaussian random variables satisfying and . Almost surely, belongs to . Probabilistic scaling conjecture. If , then is almost surely locally well-posed for these random initial data, in the sense of the theorem described in the source. This conjecture proposes almost-sure local well-posedness at every regularity above the probabilistic scaling threshold, which is independent of the dimension. The heuristic motivating it uses a square-root gain from Gaussian cancellations, while controlling high–low interactions is identified as a principal difficulty; the source does not report a resolution.
Sources & referencesView supporting material
Primary source
Yu Deng, Andrea R. Nahmod and Haitian Yue, “Invariant Gibbs measures and global strong solutions for nonlinear Schrödinger equations in dimension two”, arXiv:1910.08492 (2024).
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