Tracking the nonlinear formation of an interfacial wave cascade: from one to few to many

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This preprint studies the experimentally driven formation of a spectral cascade in a fluid–fluid interfacial system, tracking how individual wave modes evolve over time from an initial state with one mode to states with a few and then many modes. Using resolved wave-mode measurements, the authors observe a steady state whose spectral density follows power-law scaling, and they report that weakly nonlinear Lagrangian theory can model both wave interactions and emergent behavior. They quantify nonlinear interactions via statistical correlations that reveal a hierarchy in wave-mixing order, consistent with a key assumption of weak wave turbulence theory, and use the Lagrangian framework to predict the timescale for cascade emergence. The paper is explicitly a preprint and notes it has not been peer reviewed, limiting the extent of validated conclusions. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract A hallmark of far-from-equilibrium systems is the emergence of a spectral cascade, where energy is transferred across lengthscales following a simple power law. The universal nature of this phenomenon has led to advances in a range of disciplines, including climate forecasting [1], foreign exchange trading [2], and the modelling of neurological activity [3]. For many diverse scenarios, the scaling laws of steady states have been successfully predicted by the statistical theory of weak wave turbulence, originally developed by considering the leading order interactions between waves on a fluid surface [4]. However, the predictive power of this theory breaks down in the presence of large amplitudes, high dissipation, and finite-size effects [5]. We offer new insight into these regimes by experimentally tracking the formation of a spectral cascade in an externally driven fluidfluid interface. We resolve individual wave modes and observe their time evolution from one to few to many, a process culminating in a steady state with a spectral density characterised by a power-law scaling. Our findings confirm that interfacial dynamics can be effectively modelled by a weakly nonlinear Lagrangian theory [6, 7], a predictive framework encompassing both underlying wave interaction and emergent behaviours. Such nonlinear interactions are experimentally quantified through statistical correlations, revealing a hierarchy in wave-mixing order that confirms a key assumption of weak wave turbulence theory [4, 8]. The Lagrangian formulation further aids our time-evolution analysis; specific interactions are tracked through time, and we predict the timescale until a cascade emerges. Our findings are transferable to other far-from-equilibrium systems, which we demonstrate by providing a mapping to reheating scenarios following cosmic inflation in the early Universe [9, 10].
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The universal nature of this phenomenon has led to advances in a range of disciplines, including climate forecasting [1], foreign exchange trading [2], and the modelling of neurological activity [3]. For many diverse scenarios, the scaling laws of steady states have been successfully predicted by the statistical theory of weak wave turbulence, originally developed by considering the leading order interactions between waves on a fluid surface [4]. However, the predictive power of this theory breaks down in the presence of large amplitudes, high dissipation, and finite-size effects [5]. We offer new insight into these regimes by experimentally tracking the formation of a spectral cascade in an externally driven fluidfluid interface. We resolve individual wave modes and observe their time evolution from one to few to many, a process culminating in a steady state with a spectral density characterised by a power-law scaling. Our findings confirm that interfacial dynamics can be effectively modelled by a weakly nonlinear Lagrangian theory [6, 7], a predictive framework encompassing both underlying wave interaction and emergent behaviours. Such nonlinear interactions are experimentally quantified through statistical correlations, revealing a hierarchy in wave-mixing order that confirms a key assumption of weak wave turbulence theory [4, 8]. The Lagrangian formulation further aids our time-evolution analysis; specific interactions are tracked through time, and we predict the timescale until a cascade emerges. Our findings are transferable to other far-from-equilibrium systems, which we demonstrate by providing a mapping to reheating scenarios following cosmic inflation in the early Universe [9, 10]. Physical sciences/Physics/Statistical physics, thermodynamics and nonlinear dynamics/Nonlinear phenomena Physical sciences/Physics/Fluid dynamics Full Text Additional Declarations There is NO Competing Interest. Cite Share Download PDF Status: Under Review Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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