dynamicsvary

Dynamicsvary is a term used in dynamical systems theory to denote the deliberate variation of a system's dynamics over time. It refers to models in which the governing equations, parameters, or network structure change with time, rather than remaining fixed as in autonomous systems or varying only by stochastic noise.

Mathematically, a state x in R^n evolves according to x' = f(x, t, p(t)) or x_{k+1} = g_k(x_k), where p(t) encodes time-dependent rules. This framework includes non-autonomous systems, time-varying parameter models, piecewise-constant dynamics (switched or regime-switching systems), and adaptive dynamics where p(t) responds to the state.

Applications span climate and environmental modeling with seasonal forcing, epidemiology with policy changes, robotics and biomechanics with changing actuators or loads, neuroscience with shifting synaptic dynamics, and economics with regime shifts in policy or market conditions.

Analytical and computational methods for dynamicsvary include time-varying Lyapunov analysis, Floquet theory for periodic variation, switched-system techniques, adaptive control, and parameter estimation for p(t). Challenges include ensuring stability and controllability under variation, model identification, and computational complexity.

Related concepts include non-autonomous dynamical systems, time-varying systems, regime-switching models, and adaptive control. The term dynamicsvary is used informally to describe the overarching idea of systems whose governing rules change over time.