The Early-Universe Dust Formation Crisis: A Stochastic Threshold Solution

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The paper studies how substantial dust can form rapidly in galaxies at very high redshift despite conventional equilibrium, continuous dust-enrichment models predicting longer timescales. It develops a stochastic, non-equilibrium, multi-phase dynamical framework that couples gas, metals, and dust evolution, with diffuse/cold/molecular interstellar medium phases, bursty star formation, and explicit time delays for finite metal and dust production. A central result is that a threshold in molecular gas fraction triggers a switch from inefficient dust growth (stellar production) to highly efficient grain accretion (molecular-phase–driven), yielding analytical proof of solution properties (existence, positivity, boundedness) and superlinear dust mass amplification; numerical simulations are reported to reproduce rapid dust enrichment. 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 The presence of substantial dust masses in galaxies at very high redshifts presents a major challenge to conventional theories of cosmic dust formation, which predict significantly longer timescales for dust enrichment. This discrepancy indicates that classical continuous and equilibrium-based models do not adequately capture the physical processes governing dust evolution in the early universe. The purpose of this study is to develop a mathematically rigorous and physically consistent framework capable of explaining rapid dust formation under realistic astrophysical conditions. A stochastic, non-equilibrium, multi-phase dynamical model is introduced to describe the coupled evolution of gas, metals, and dust in early galaxies. The interstellar medium is represented as a structured system consisting of diffuse, cold, and molecular phases, with transitions governed by metal enrichment and dust-mediated processes. Star formation is modeled as a burst-driven stochastic process, reflecting the intermittent nature of early galaxy evolution. Time-delay effects are incorporated to account for finite metal production and dust formation timescales. A central feature of the model is a threshold-driven mechanism in which dust growth shifts from inefficient stellar production to highly efficient grain accretion once the molecular gas fraction exceeds a critical level. The resulting system is formulated as a nonlinear stochastic delay differential equation with state-dependent switching. Analytical results establish the existence, positivity, and boundedness of solutions, and demonstrate the emergence of a threshold-induced transition from slow to rapid dust growth. The model predicts superlinear amplification of dust mass over short timescales once critical physical conditions are reached. Numerical simulations support the theoretical findings and show that the proposed mechanism reproduces rapid dust enrichment consistent with observed early-universe systems. The results provide a resolution to the dust formation problem without requiring extreme assumptions about stellar yields or hidden stellar populations. More broadly, the study highlights the importance of stochastic processes, phase transitions, and nonlinear feedback in shaping the evolution of astrophysical systems. The proposed framework offers a new mathematical paradigm for modeling non-equilibrium processes in galaxy formation and provides a basis for future observational and theoretical investigations.
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The Early-Universe Dust Formation Crisis: A Stochastic Threshold Solution | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article The Early-Universe Dust Formation Crisis: A Stochastic Threshold Solution Olorato Rantaba This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9226746/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The presence of substantial dust masses in galaxies at very high redshifts presents a major challenge to conventional theories of cosmic dust formation, which predict significantly longer timescales for dust enrichment. This discrepancy indicates that classical continuous and equilibrium-based models do not adequately capture the physical processes governing dust evolution in the early universe. The purpose of this study is to develop a mathematically rigorous and physically consistent framework capable of explaining rapid dust formation under realistic astrophysical conditions. A stochastic, non-equilibrium, multi-phase dynamical model is introduced to describe the coupled evolution of gas, metals, and dust in early galaxies. The interstellar medium is represented as a structured system consisting of diffuse, cold, and molecular phases, with transitions governed by metal enrichment and dust-mediated processes. Star formation is modeled as a burst-driven stochastic process, reflecting the intermittent nature of early galaxy evolution. Time-delay effects are incorporated to account for finite metal production and dust formation timescales. A central feature of the model is a threshold-driven mechanism in which dust growth shifts from inefficient stellar production to highly efficient grain accretion once the molecular gas fraction exceeds a critical level. The resulting system is formulated as a nonlinear stochastic delay differential equation with state-dependent switching. Analytical results establish the existence, positivity, and boundedness of solutions, and demonstrate the emergence of a threshold-induced transition from slow to rapid dust growth. The model predicts superlinear amplification of dust mass over short timescales once critical physical conditions are reached. Numerical simulations support the theoretical findings and show that the proposed mechanism reproduces rapid dust enrichment consistent with observed early-universe systems. The results provide a resolution to the dust formation problem without requiring extreme assumptions about stellar yields or hidden stellar populations. More broadly, the study highlights the importance of stochastic processes, phase transitions, and nonlinear feedback in shaping the evolution of astrophysical systems. The proposed framework offers a new mathematical paradigm for modeling non-equilibrium processes in galaxy formation and provides a basis for future observational and theoretical investigations. Astrophysics and Cosmology dust formation early universe grain growth interstellar medium non-equilibrium dynamics stochastic processes threshold dynamics) Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted 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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