Discrete and continuous dynamical systems for inclusion problems with applications

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dc.contributor.author Gautam, Pankaj
dc.date.accessioned 2022-11-28T05:55:45Z
dc.date.available 2022-11-28T05:55:45Z
dc.date.issued 2021-05
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/1933
dc.description Acc.No-918 en_US
dc.description.abstract In the consideration of optimization problems and differential equations, the monotone inclusion arises routinely and ordinarily, thus solution techniques for them can be applied to handle many real-world problems. In this thesis, the author discusses iterative methods and continuous dynamical systems for monotone inclusion problems. This thesis contains six chapters. Chapter 1 introduces monotone inclusion problems along with the historical background of the problem. This chapter includes definitions and some basic properties of monotone and maximal monotone operators, projection operators and fundamental descriptions of the resolvent and Yosida approximations. Some splittings methods and their related dynamical systems to solve the monotone inclusion problems are also demonstrated in this chapter. Chapter 2 describes the generalized problem of split equality variational inclusion problem. For this purpose, we introduce the problem of finding the zeros of a nonnegative lower semicontinuous function over the common solution set of fixed point problem and monotone inclusion problem. We propose and study the convergence behavior of different iterative techniques to solve the generalized problem. Furthermore, we study an inertial form of the proposed algorithm and compare the convergence speed. Moreover, as an application, we analyze split equality equilibrium fixed point problem. Further with the help of numerical computations experimentally, we compare the convergence speed of the proposed algorithm with it’s inertial form and already existing algorithms to solve the generalized problem. In chapter 3, we explore the first-order variable metric backward-forward dynamical systems associated with monotone inclusion and convex minimization problems in xviii real Hilbert space. The operators are chosen so that the backward-forward dynamical system is closely related to the forward-backward dynamical system and has the same computational complexity. We show existence, uniqueness, and weak asymptotic convergence of the generated trajectories and strong convergence if one of the operators is uniformly monotone. We also establish that an equilibrium point of the trajectory is globally exponentially stable and monotone attractor. As a particular case, we explore similar perspectives of the trajectories generated by a dynamical system related to the minimization of the sum of a nonsmooth convex and a smooth convex function. In this sequel, we also study that weak convergence behavior of the orbits associated with minimization problem without the restriction on the choice of the step size. Numerical examples are given to illustrate the convergence of trajectories. In chapter 4, the first-order forward-backward-half forward dynamical systems associated with the inclusion problem consisting of three monotone operators are analyzed. The framework modifies the forward-backward-forward dynamical system by adding a cocoercive operator to the inclusion. The existence, uniqueness, and weak asymptotic convergence of the generated trajectories are discussed. A variable metric forward-backward-half forward dynamical system with the essence of nonself-adjoint linear operators is introduced. The proposed notion, in turn, extends the forward-backward-forward dynamical system and forward-backward dynamical system in the framework of variable metric by relaxing some conditions on the metrics. By using Lyapunov analysis and a continuous variant of the Opial lemma for the class of operators T, one can prove the convergence of generated trajectories in variable metric sense. The distributed dynamical system is further explored to compute a generalized Nash equilibrium in a monotone game as an application. A numerical example is provided to illustrate the convergence of the trajectories. Chapter 5 explores a generalized concept, called warped Yosida approximation, xix which is formulated with the help of an auxiliary operator. Yosida approximation of set-valued operators performs an extensive role in non-linear operator theory; in particular, in dynamical system governed by maximal monotone operator. The properties of warped Yosida approximation are analyzed and connections are made with existing notions. en_US
dc.language.iso en_US en_US
dc.publisher IIT (BHU), Varanasi en_US
dc.subject Dynamical systems en_US
dc.subject Inclusion problems en_US
dc.subject Monotone inclusion en_US
dc.title Discrete and continuous dynamical systems for inclusion problems with applications en_US
dc.type Thesis en_US
dcterms.subject


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