Tracing the nonlinear formation of an interfacial wave spectral cascade from one to few to many

Far-from-equilibrium phenomena unveil the intricate principles of complex systems, including snowflake growth and fluid turbulence, with broad applications ranging from foreign exchange trading to climate modeling. A recurring feature across these systems is the emergence of a spectral cascade, where energy is transferred across the system's length scales, following a simple power law. The statistical theory of weak wave turbulence, in which only leading order interactions are considered, successfully predicts scaling laws for stationary states in idealised scenarios. Realistic conditions, such as finite size and amplitude effects, and strong dissipation, remain beyond our current understanding. Lacking comprehensive theoretical insight, we experimentally trace the formation of a spectral cascade under these conditions. Using an externally driven fluid-fluid interface, we successfully resolve individual wave modes and track their real-time evolution from one to few to many. This process culminates in a steady state whose power spectral density is fully characterised by a power-law scaling. We further quantify specific interactions through statistical correlations to reveal a hierarchy in the wave-mixing order, thus confirming a key assumption of weak-wave turbulence. We present a comprehensive time-evolution analysis that is crucial in identifying critical points where the interface undergoes significant changes. Our findings validate that the interfacial dynamics can be effectively modelled using a weakly nonlinear Lagrangian theory, enabling us to explore its applicability to other out-of-equilibrium systems. Notably, we uncover intriguing connections to reheating scenarios following cosmic inflation in the early universe.