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Solving Equilibrium Problem with New Inertial Technique

Chidi Elijah Nwakpa, Chinedu Izuchukwu, Chibueze CHristian Okeke, Dilber Uzun Ozsahin, Abubakar Adamu

TL;DR

The paper addresses solving equilibrium problems EP in real Hilbert spaces when the bifunction f is pseudomonotone and satisfies Lipschitz-type conditions. It proposes a subgradient extragradient method augmented with one inertial term and two correction terms, plus a self-adaptive stepsize, to accelerate convergence. Under standard assumptions, the method achieves weak convergence to a solution of EP, and when f is β-strongly pseudomonotone, it attains an R-linear convergence rate to the unique solution. Numerical experiments show the approach outperforms several existing methods across multiple test problems, highlighting practical gains in convergence speed and efficiency for large-scale EPs.

Abstract

We propose in this work a subgradient extragradient method with inertial and correction terms for solving equilibrium problems in a real Hilbert space. We obtain that the sequence generated by our proposed method converges weakly to a point in the solutions set of the equilibrium problem when the associated bivariate function is pseudomonotone and satisfies Lipschitz conditions. Furthermore, in a case where the bifunction is strongly pseudomonotone, we establish a linear convergence rate. Lastly, through different numerical examples, we demonstrate that the incorporation of multiple correction terms significantly improves our proposed method when compared with other methods in the literature.

Solving Equilibrium Problem with New Inertial Technique

TL;DR

The paper addresses solving equilibrium problems EP in real Hilbert spaces when the bifunction f is pseudomonotone and satisfies Lipschitz-type conditions. It proposes a subgradient extragradient method augmented with one inertial term and two correction terms, plus a self-adaptive stepsize, to accelerate convergence. Under standard assumptions, the method achieves weak convergence to a solution of EP, and when f is β-strongly pseudomonotone, it attains an R-linear convergence rate to the unique solution. Numerical experiments show the approach outperforms several existing methods across multiple test problems, highlighting practical gains in convergence speed and efficiency for large-scale EPs.

Abstract

We propose in this work a subgradient extragradient method with inertial and correction terms for solving equilibrium problems in a real Hilbert space. We obtain that the sequence generated by our proposed method converges weakly to a point in the solutions set of the equilibrium problem when the associated bivariate function is pseudomonotone and satisfies Lipschitz conditions. Furthermore, in a case where the bifunction is strongly pseudomonotone, we establish a linear convergence rate. Lastly, through different numerical examples, we demonstrate that the incorporation of multiple correction terms significantly improves our proposed method when compared with other methods in the literature.

Paper Structure

This paper contains 13 sections, 9 theorems, 92 equations, 4 figures, 3 tables.

Key Result

Lemma 2.3

BAUS For each $s\in\mathcal{H},$$z\in\mathcal{C}$ and positive constant $\lambda,$ the following inequality is true $\lambda(g(z)-g(prox_{\lambda g}(s)))\geq \langle s- prox_{\lambda g}(s), z-prox_{\lambda g}(s)\rangle.$

Figures (4)

  • Figure 1: Numerical results for Example \ref{['ex1']} for Cases I and II, respectively
  • Figure 2: Numerical results for Example \ref{['ex1']} for Cases III and IV, respectively
  • Figure 3: Numerical results for Example \ref{['ex2']} for Cases I-IV, respectively
  • Figure 4: Numerical results for Example \ref{['EX3']} for Cases I-IV, respectively

Theorems & Definitions (22)

  • Definition 2.1
  • Definition 2.2
  • Lemma 2.3
  • Definition 2.4
  • Remark 2.5
  • Lemma 2.6
  • Lemma 2.6
  • Lemma 2.7
  • Lemma 2.8
  • Definition 2.9
  • ...and 12 more