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Monotone Operators and Applications

dc.contributor.authorUsman, Bello Abdumalik
dc.date.accessioned2017-01-11T15:36:02Z
dc.date.available2017-01-11T15:36:02Z
dc.date.issued2011-12
dc.identifier.urihttp://repository.aust.edu.ng:8080/xmlui/handle/123456789/560
dc.description.abstractThis project is mainly focused on the theory of Monotone (increasing) Operators and its applications. Monotone operators play an important role in many branches of Mathematics such as Convex Analysis, Optimization Theory, Evolution Equations Theory, Variational Methods and Variational Inequalities. Basic examples of monotone operators are positive semi-definite matrices A of order n ∈ N (since they define linear operators on R n and satisfy hAx, xi ≥ 0 for all x ∈ R n ), projection operators p C onto closed convex nonempty subsets C of a Hilbert space (since hx − y, p C (x) − p C (y)i ≥ 0 for all x, y ∈ H), the derivative Df of a differentiable convex function f defined in a Banach space (since hx − y, Df (x) − Df (y)i ≥ 0 for all x, y ∈ dom(f )), and the elliptic differential operator −∆ on H 2 (R n ). Monotone operators which have no proper monotone extension are called maximal monotone operators and are of particular interest because they are crucial in the solvability of evolution equations in Hilbert spaces as they generate semigroup of bounded linear operators. In this project, we first study some fundamental geometric properties of Banach spaces, the topological properties of the duality mapping J : X → ∗ 2 X of a Banach space X defined by J(x) := f ∈ X ∗ : hx, f i = kxkkf k and kf k = kxk and after recalling some results from Convex Analysis, we observe that J is the subdifferential of the convex functional x 7→ ||x|| Secondly we study the general properties of maximal monotone operators. In the case of a reflexive Banach space X, we have remarkable results such as: - The Rockerfella’s characterization of the maximality of a monotone (single or multi- valued) operator defined on a reflexive Banach space, which says that an operator A is maximal monotone on X if and only if R(A + λJ) = X ∗ , for some λ > 0. - Every monotone and hemicontinuous operator is maximal monotone. Every maximal monotone operator which is coercive on X (e.g., J) is surjective. Lastly we present another version of the Rockerfella’s characterization with a shorter proof following C. Simons and C. Zalinescu [7], and we mention some applications of the surjectivity result for monotone operators to nonlinear elliptic equations in the line of Lions [10].en_US
dc.language.isoenen_US
dc.subjectUsman Bello Abdumaliken_US
dc.subjectDr Guy Deglaen_US
dc.subject2011 Pure and Applied Mathematics Thesesen_US
dc.subjectMonotone Operatorsen_US
dc.titleMonotone Operators and Applicationsen_US
dc.typeThesisen_US


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