Hilbert's 6th: Wave Kinetic Lab Fields Medal 2026 Core
Microscopic Dispersive Wave Field $\psi(t,x)$ Active Dynamic
Modes: 64x64 | $\epsilon$: 0.08
Kinetic Time $T_{\text{kin}} = \epsilon^{-2} = 156.25
Sim Time $t$: 0.00 | Active Resonances: 12
Click canvas to spawn localized wave packet
Wave Kinetic Energy Spectrum $n(k)$ vs Kolmogorov-Zakharov Slope
4-Wave Resonance Manifold Radar ($\Delta\omega \to 0, \Delta k = 0$)

The Mathematical Miracle: Microscopic Dispersive Waves to Kinetic Transport

David Hilbert's 6th problem (1900) asked for the rigorous mathematical axiomatization of physics: deriving macroscopic kinetic/continuum laws from microscopic deterministic equations. In nonlinear dispersive waves, the microscopic evolution is governed by:

i \partial_t \psi = -\Delta \psi + \epsilon |\psi|^2 \psi \quad \text{on } \mathbb{T}_L^d

In the kinetic limit (box size $L \to \infty$, coupling $\epsilon \to 0$ such that $t \sim \epsilon^{-2}$), the spectral density $n(t,k) = \mathbb{E}[|\hat{\psi}(t,k)|^2]$ rigorously satisfies the Wave Kinetic Equation (WKE):

\partial_t n(k) = 4\pi \int \delta(k+k_1-k_2-k_3)\delta(\omega+\omega_1-\omega_2-\omega_3) n_k n_1 n_2 n_3 \left(\frac{1}{n_k} + \frac{1}{n_1} - \frac{1}{n_2} - \frac{1}{n_3}\right) dk_1 dk_2 dk_3

Yu Deng, Alexandru Ionescu, and Benoit Pausader established this rigorous link using multiscale Feynman diagram tree expansions, resolving a century-old problem for wave turbulence.

Enjoy this tool? Build your own with Super