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PreprintCC BY 4.0arXiv

Accelerated Convergence of a Second-Order Dynamical System and its Application to Splitting Algorithms for Comonotone Inclusions

Abstract

This paper introduces a novel second-order dynamical system driven by a forward-backward splitting operator for solving the structured inclusion 0∈(A+B)(x) in a real Hilbert space, where A is a maximal ρ-comonotone operator and B is a ν-cocoercive operator. The well-posedness of the system is established, and Lyapunov analysis yields accelerated convergence rates of order o(1/t) for the velocity and o(1/t2) for the forward-backward residual, together with weak convergence of the trajectories to zer(A+B). Temporal discretization further leads to a class of double inertial Halpern forward-backward splitting algorithms that encompasses the classical forward-backward splitting method and its inertial variants as special cases. Numerical experiments on split feasibility, sparse signal recovery, and image deblurring illustrate the effectiveness of the proposed algorithm.

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BibTeX
@misc{tang2026accelerated,
  title = {{Accelerated Convergence of a Second-Order Dynamical System and its Application to Splitting Algorithms for Comonotone Inclusions}},
  author = {Yan Tang and Jun Dong},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.02479},
  eprint = {2609.02479},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.02479},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Accelerated Convergence of a Second-Order Dynamical System and its Application to Splitting Algorithms for Comonotone Inclusions
AU  - Yan Tang
AU  - Jun Dong
PY  - 2026
DA  - 2026/09/02
PB  - arXiv
DO  - 10.48550/arxiv.2609.02479
UR  - https://arxiv.org/abs/2609.02479
AB  - This paper introduces a novel second-order dynamical system driven by a forward-backward splitting operator for solving the structured inclusion 0∈(A+B)(x) in a real Hilbert space, where A is a maximal ρ-comonotone operator and B is a ν-cocoercive operator. The well-posedness of the system is established, and Lyapunov analysis yields accelerated convergence rates of order o(1/t) for the velocity and o(1/t^2) for the forward-backward residual, together with weak convergence of the trajectories to zer(A+B). Temporal discretization further leads to a class of double inertial Halpern forward-backward splitting algorithms that encompasses the classical forward-backward splitting method and its inertial variants as special cases. Numerical experiments on split feasibility, sparse signal recovery, and image deblurring illustrate the effectiveness of the proposed algorithm.
ER  -