Abstract
We propose two very simple methods, the first one with constant step sizes and the second one with self-adaptive step sizes, for finding a zero of the sum of two monotone operators in real reflexive Banach spaces. Our methods require only one evaluation of the single-valued operator at each iteration. Weak convergence results are obtained when the set-valued operator is maximal monotone and the single-valued operator is Lipschitz continuous, and strong convergence results are obtained when either one of these two operators is required, in addition, to be strongly monotone. We also obtain the rate of convergence of our proposed methods in real reflexive Banach spaces. Finally, we apply our results to solving generalized Nash equilibrium problems for gas markets.
Similar content being viewed by others
Data Availability
Not applicable.
References
Attouch, H., Cabot, A.: Convergence of a relaxed inertial forward-backward algorithm for structured monotone inclusions. Appl. Math. Optim. 80, 547–598 (2019)
Barbu, V.: Nonlinear Differential Equations of Monotone Types Nonlinear Differential in Banach Spaces. Springer, New York (2010)
Bauschke, H.H., Matoušková, E., Reich, S.: Projection and proximal point methods: convergence results and counterexamples. Nonlinear Anal. 56, 715–738 (2004)
Bauschke, H.H., Wang, X., Yao, L.: General resolvents for monotone operators: characterization and extension. In: Censor, Y., Jiang, M., Wang, G. (eds.) Biomedical Mathematics: Promising Directions in Imagine, Therapy Planning and Inverse Problem (Huangguoshu 2008), pp. 57–74. Medical Physics Plublishing, Madison, WI, USA (2010)
Bertsekas, D.: Convex analysis and optimization contributors. Athena Scientific, Angelia Nedic and Asuman E. Ozdaglar. Belmont (2003)
Bregman, L.M.: The relaxation method for finding common points of convex sets and its application to the solution of problems in convex programming. USSR Comput. Math. Math. Phys. 7, 200–217 (1967)
Bregman, L.M., Censor, Y., Reich, S.: Dykstra’s algorithm as the nonlinear extension of Bregman’s optimization method. J. Convex Anal. 6, 319–333 (1999)
Bruck, R.E., Reich, S.: Nonexpansive projections and resolvents of accretive operators in Banach spaces. Houston J. Math. 3, 459–470 (1977)
Butnariu, D., Iusem, A.N.: Totally convex functions for fixed points computational and infinite dimensional optimization. Kluwer Academic, Dordrecht (2000)
Chang, Ss., Yao, J.C., Wen, C.F., Qin, L.J.: Shrinking projection method for solving inclusion problem and fixed point problem in reflexive Banach spaces. Optimization (2020). https://doi.org/10.1080/02331934.2020.1763988
Chidume, C.E.: Geometric properties of Banach spaces and nonlinear iterations, Springer Verlag Series, Lecture Notes in Mathematics, ISBN 978-1-84882-189-7, (2009)
Combettes, P.L., Wajs, V.R.: Signal recovery by proximal forward-backward splitting. Multiscale Model. Simul. 4, 1168–1200 (2005)
Grimm, V., Hintermüller, M., Huber, O., Schewe, L., Schmidt, M., Zöttl, G.: A PDE-constraints generalized Nash equilibrium approach for modeling gas markets with transport, (2021), https://opus4.kobv.de/opus4-trr154/frontdoor/index/index/docId/458
Hieu, D.V., Cholamjiak, P.: Modified extragradient method with Bregman distance for variational inequalities. Appl. Anal. (2020). https://doi.org/10.1080/00036811.2020.1757078
Huang, Y.Y., Jeng, J.C., Kuo, T.Y., et al.: Fixed point and weak convergence theorems for point-dependent \(\lambda \)-hybrid mappings in Banach spaces. Fixed Point Theory Appl. 2011, 105 (2011)
Jolaoso, L.O., Shehu, Y.: Single Bregman projection method for solving variational inequalities in reflexive Banach spaces. Appl. Anal. (2021). https://doi.org/10.1080/00036811.2020.1869947
Lions, P.L., Mercier, B.: Splitting algorithms for the sum of two nonlinear operators. SIAM J. Numer. Anal. 16, 964–979 (1979)
Liu, H., Yang, J.: Weak convergence of iterative methods for solving quasimonotone variational inequalities. Comput. Optim. Appl. 77(2), 491–508 (2020)
Malitsky, Y., Tam, M.K.: A forward-backward splitting method for monotone inclusions without cocoercivity. SIAM J. Optim. 30, 1451–1472 (2020)
Martin-Marquez, V., Reich, S., Sabach, S.: Bregman strongly nonexpansive operators in reflexive Banach spaces. J. Math. Anal. Appl. 400, 597–614 (2013)
Martinet, B.: Régularisation d’Inéquations Variationnelles par Approximations Successives. Rev. Franćaise d’Inform. et de Rech. Opérationnelle 3, 154–158 (1970)
Nesterov, Y.: Introductory lectures on convex optimization, A basic course, pp. 63–64. Kluwer Academic, Berlin (2004)
Nevanlinna, O., Reich, S.: Strong convergence of contraction semigroups and of iterative methods for accretive operators in Banach spaces. Israel J. Math. 32, 44–58 (1979)
Ogbuisi, F.U.: On common solution of a monotone variational inclusion for two mappings and a fixed point problem. U. Politeh. Buch. Ser. A 81, 111–122 (2019)
Ogbuisi, F.U., Izuchukwu, C.: Approximating a zero of sum of two monotone operators which solves a fixed point problem in reflexive Banach spaces. Numer. Funct. Anal. Optim. 41, 322–343 (2020)
Okeke, C.C., Izuchukwu, C.: Strong convergence theorem for split feasibility problems and variational inclusion problems in real Banach spaces. Rend. Circ. Mat. Palermo 70, 457–480 (2021)
Orouji, B., Soori, E., O’Regan, D., Agarwal, R.P.: A strong convergence theorem for a finite family of Bregman demimetric mappings in a Banach space under a new shrinking projection method, J. Funct. Spaces, Volume 2021, Article ID 9551162, p. 11 (2021). https://doi.org/10.1155/2021/9551162
Passty, G.B.: Ergodic convergence to a zero of the sum of monotone operators in Hilbert space. J. Math. Anal. Appl. 72, 383–390 (1979)
Reem, D., Reich, S.: Solutions to inexact resolvent inclusion problems with applications to nonlinear analysis and optimization. Rend. Circ. Mat. Palermo 67, 337–371 (2018)
Riech, S., Sabach, S.: Two strong convergence theorems for a proximal method in reflexive Banach spaces. Numer. Funct. Anal. Optim. 31, 24–44 (2010)
Reich, S., Sabach, S.: A strong convergence theorem for a proximal-type algorithm in reflexive Banach spaces. J. Nonlinear Convex Anal. 10, 471–485 (2009)
Rockafellar, R.T.: Monotone operators and the proximal point algorithm. SIAM J. Control. Optim. 14, 877–898 (1976)
Shehu, Y.: Single projection algorithm for variational inequalities in Banach spaces with application to contact problem. Acta. Math. Sci. 40, 1045–1063 (2020)
Shehu, Y.: Convergence results of forward-backward algorithms for sum of monotone operators in Banach spaces. Results Math. 74, 1–24 (2019). (Article Number 138)
Sunthrayuth, P., Pholasa, N., Cholamjiak, P.: Mann-type algorithms for solving themonotone inclusion problem and the fixed point problem in reflexive Banach spaces. Ricerche mat. (2021). https://doi.org/10.1007/s11587-021-00596-y
Tang, Y., Promkam, R., Cholamjiak, P., Sunthrayuth, P.: Convergence results of iterative algorithms for the sum of two monotone operators in reflexive Banach spaces. Appl. Math. (2021). https://doi.org/10.21136/AM.2021.0108-20
Tseng, P.: A modified forward-backward splitting method for maximal monotone mappings. SIAM J. Control. Optim. 38, 431–446 (2000)
Tuyen, T.M., Promkam, R., Sunthrayuth, P.: Strong convergence of a generalized forward-backward splitting method in reflexive Banach spaces. Optimization (2020). https://doi.org/10.1080/02331934.2020
Acknowledgements
The second author was partially supported by the Israel Science Foundation (Grant 820/17), by the Fund for the Promotion of Research at the Technion and by the Technion General Research Fund.
Author information
Authors and Affiliations
Contributions
All the authors contributed to this paper.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Code availability
Not applicable.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Izuchukwu, C., Reich, S. & Shehu, Y. Convergence of Two Simple Methods for Solving Monotone Inclusion Problems in Reflexive Banach Spaces. Results Math 77, 143 (2022). https://doi.org/10.1007/s00025-022-01694-5
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s00025-022-01694-5