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March 13, 2026Journal of Nonlinear Science0 citationsOpen Access

Nonautonomous Dispersiveness in Linear Differential Systems

JSJean G. SilvaJSJosiney Souza

Key Points

  • The research aims to explore the dispersive characteristics of nonautonomous dynamical systems governed by linear differential equations.
  • Analyzed nonautonomous systems using linear differential equations.
  • Calculated the nonautonomous prolongational limit set.
  • Applied innovative techniques including matrix convolution and Laplace multi-transform.
  • Formulated mean limit criterion for non-invertible systems.
  • Identified distinct meanings of nonautonomous dispersiveness for positive and negative times.
  • Demonstrated results applicable to nilpotent and polynomial systems.
  • Outlined techniques useful for higher-order differential equations and mechanical systems.

Abstract

Abstract This manuscript studies dispersive concepts of a nonautonomous dynamical system associated with a linear differential equation ẋ=Ax+ g (t) x ˙ = A x + g t. The dispersiveness is a property characterized by the absence of recursiveness, which is determined by the computation of the nonautonomous prolongational limit set. Differently from the autonomous case, due to the time initial dependence, the nonautonomous dispersiveness has distinct meanings for positive and negative times. Innovative analytical techniques to treat the dispersive concepts are employed, by using the matrix convolution product and the Laplace multi-transform. For non-invertible systems (A=0 det A = 0), the mean limit criterion is formulated, based on the computation of the mean limit set of the adding function g (t) g t. The results of the paper are applied to various special cases, including nilpotent systems, polynomial systems, higher order differential equations, and mechanical systems.

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Cite This Study

Silva et al. (2026) studied this question.

synapsesocial.com/papers/69b3abe702a1e69014ccd2d2https://doi.org/10.1007/s00332-026-10249-9
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