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April 29, 2026Journal of Scientific Computing0 citationsOpen Access

Second-order Dynamical Systems with Fixed-time Convergence for Fixed Points of Lipschitz Operators

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LNLien T. NguyenAEAndrew EberhardXYXinghuo Yu

Key Points

  • This research focuses on developing second-order dynamical systems with fixed-time convergence for fixed points of Lipschitz operators.
  • Proposed second-order dynamical systems for locating fixed points of Lipschitz continuous operators.
  • Established existence and uniqueness of solutions through analysis.
  • Constructed Lyapunov function for convergence analysis.
  • Introduced alternative systems for contraction operators with flexible parameters.
  • Applied systems to generalized monotone inclusion and nonsmooth optimization problems.
  • Demonstrated fixed-time convergence for proposed dynamical systems.
  • Validated existence and uniqueness of solutions in fixed-time scenarios.
  • Enhanced simplicity and flexibility in solving contracting fixed points.

Abstract

Abstract This paper is devoted to developing novel second-order time-varying dynamical systems with fixed-time convergence for nonsmooth optimization problems. We first propose a second-order dynamical system to locate a fixed point of Lipschitz continuous operators within a fixed time. The existence and uniqueness of solutions for this dynamical system are established, followed by a convergence analysis through the construction of a Lyapunov function. We then present an alternative second-order fixed-time convergent dynamical system for finding the fixed point of contraction operators, which not only features a simpler structure but also offers more flexible parameters. Finally, we employ the proposed dynamical systems to solve both generalized monotone inclusion problems and nonsmooth additive composite optimization problems.

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Cite This Study

Nguyen et al. (2026) studied this question.

synapsesocial.com/papers/69f154e0879cb923c494526bhttps://doi.org/10.1007/s10915-026-03297-6
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