A cubic stochastic population model with dual fear effects under the Allee effect produces an analytical steady-state probability distribution that exhibits noise-induced transitions and non-monotonic fear-controlled changes between low- and high-density regimes.
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2026 5representative citing papers
k-contact geometry supplies explicit Hamiltonian descriptions for multiple dissipative PDEs including damped Klein-Gordon, Allen-Cahn, Fisher-KPP, and complex Ginzburg-Landau equations.
Isabelle/HOL proofs establish conservation, monotonicity, compartment bounds, and threshold conditions for the SIR ODE by bridging AFP local flows to global forward solutions with reusable scalar lemmas.
Trajectory data resolves structural non-identifiability in parameter estimation for stochastic diffusion models that arises with count data alone.
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Dual Fear Mechanisms Shaping Stochastic Population Dynamics under the Allee Effect
A cubic stochastic population model with dual fear effects under the Allee effect produces an analytical steady-state probability distribution that exhibits noise-induced transitions and non-monotonic fear-controlled changes between low- and high-density regimes.
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A Guide to Applications of $k$-Contact Geometry in Dissipative Field Equations
k-contact geometry supplies explicit Hamiltonian descriptions for multiple dissipative PDEs including damped Klein-Gordon, Allen-Cahn, Fisher-KPP, and complex Ginzburg-Landau equations.
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Certified Qualitative Analysis of the SIR ODE and Reusable Scalar Lemmas in Isabelle/HOL
Isabelle/HOL proofs establish conservation, monotonicity, compartment bounds, and threshold conditions for the SIR ODE by bridging AFP local flows to global forward solutions with reusable scalar lemmas.
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When do trajectories matter? Identifiability analysis for stochastic transport phenomena
Trajectory data resolves structural non-identifiability in parameter estimation for stochastic diffusion models that arises with count data alone.
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Symmetric Nonlinear Cellular Automata as Algebraic References for Rule~30
Rule 22 supplies closed-form support-set cardinalities and a parabolic PDE limit that serve as a symmetric benchmark to quantify Rule 30's asymmetry via an empirical power-law deviation.