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D. Y. Zhong

Publications and source records attributed to D. Y. Zhong.

4 recordsLinked to original sources

Contact Large Deviations of Stochastic Vector Bundles

Large deviation theory lacks a geometric foundation for its rate functions and fluctuation symmetries. This paper develops a contact large deviation theory on stochastic vector bundles, in which the rate function, the scaled cumulant generating function, and a Gallavotti--Cohen-type fluctuation duality all follow from the contact 1-form. The constraint function acts as a generalized Lagrangian; the least constraint principle yields the dynamics, and the contact potential is built order by order from the master equation, producing a coupled Hamilton--Jacobi--transport system governed by the invariant density, drift, and fluctuation tensor. The contact path measure satisfies a large deviation principle with rate function given by the constraint action; the scaled cumulant generating function obeys a stationary eigenvalue equation with a Donsker--Varadhan variational characterization. The entropy production rate, the fluctuation--dissipation combination $e=\tfrac12 g^T Ag-σ$, is the physical observable; the time-reversal involution $J:(t,y,ϕ)\mapsto(t,y,-ϕ-\nabla\lnρ)$ with reversed drift $v^{\mathrm{rev}}=-v+Ag$ yields a Gallavotti--Cohen-type duality $λ_{\mathrm{fwd}}(q)=λ_{\mathrm{rev}}(q+1)+λ_{\mathrm{fwd}}(-1)$. The classical one-dimensional GC symmetry is recovered in the reversible case $Ag=0$.

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When Certainty Emerges from Stochasticity: Hidden Attractor of Deterministic Motion

Macroscopic deterministic motion is traditionally interpreted as a result of statistical averaging. In this paper, we show that it is a strict geometric attractor of the contact flow. We reveal a contact constraint mechanism where the exponential amplification of probability gradients is exactly counterbalanced by the decay of second-order contact stiffness, forcing the macroscopic-microscopic coupling to vanish. This coupling acts as a Jacobi field, which decays in dissipative systems to enable deterministic focusing. We construct the contact potential via an invariant-measure construction, unifying the treatment of point attractors, limit cycles, and chaotic systems. Unlike the Mori-Zwanzig projection, this approach strictly conserves information, showing that determinism arises from the geometric reorganisation of information rather than its loss.

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Dynamics of Dissipative Nonlinear Systems: A Study via 2D CGLE by Contact Geometry

We develop a contact-geometric framework for dissipative nonlinear field theories by extending the least constraint theorem to complex fields and establishing a rigorous link with probability measures. The Complex Ginzburg-Landau Equation serves as a paradigmatic example, yielding a dissipative Contact Hamilton-Jacobi equation that governs the evolution of the action functional. Through canonical transformation and travelling-wave reduction, exact Jacobi elliptic solutions are obtained, revealing a continuous transition from periodic periodons to localised solitons. Probabilistic analysis identifies a universal switching line separating dynamical regimes and uncovers a first-order periodon-soliton phase transition with a hysteresis loop. The conserved contact potential emerges as the key geometric quantity governing pattern formation in dissipative media, analogous to energy in conservative systems.

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Least Constraint and Contact Dynamics of Stochastic Vector Bundles

This paper investigates the contact structures and dynamics of stochastic vector bundles, leading to the formulation of the least constraint theorem. It is found that the probability space of stochastic vector bundles possesses an infinite-order jet structure, which enables the geometric analysis of stochastic processes. Furthermore, this study demonstrates that stochastic vector bundles have a natural contact structure, leading to the decomposition of the tangent space and providing insight into the evolution and constraints of the system. Finally, we derive a set of contact dynamical equations for the stochastic vector bundles. These equations correspond to the least constraint on the evolution of stochastic vector bundles, which is a counterpart to the least action principle for symplectic structures. This shows the relationship between the geometric structure of the stochastic system evolution and its tendency to minimize constraints. This study provides a geometric framework for analyzing stochastic space with potential applications in various fields where probabilistic behavior is crucial.

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