Lecture Notes in Economics and Mathematical Systems.

dc.creatorAlvarez, F.
dc.creatorAttouch, H.
dc.date2020-08-14T20:43:06Z
dc.date2022-07-08T20:16:28Z
dc.date2020-08-14T20:43:06Z
dc.date2022-07-08T20:16:28Z
dc.date2000
dc.date.accessioned2023-08-22T06:25:51Z
dc.date.available2023-08-22T06:25:51Z
dc.identifier15000001
dc.identifier15000001
dc.identifierhttps://hdl.handle.net/10533/245948
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8327853
dc.descriptionThe “heavy ball with friction” dynamical system u¨+γu˙+∇Φ(u)=0 is a non-linear oscillator with damping (γ > 0). In [2], Alvarez proved that when H is a real Hilbert space and Ф : H → ℝ is a smooth convex function whose minimal value is achieved, then each trajectory t → u (t) of this system weakly converges towards a minimizer of Ф. We prove a similar result in the convex constrained case by considering the corresponding gradient-projection dynamical system u¨+γu˙+u−projC(u−μ∇Φ(u))=0, , where C is a closed convex subset of H. This result holds when H is a possibly infinite dimensional space, and extends, by using different technics, previous results by Antipin [1].
dc.descriptionCMM
dc.descriptionFONDAP
dc.descriptionFONDAP
dc.languageeng
dc.relationinstname: ANID
dc.relationreponame: Repositorio Digital RI2.0
dc.relationhttps://link.springer.com/chapter/10.1007/978-3-642-57014-8_2
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleThe heavy ball with friction dynamical system for convex constrained minimization problems
dc.titleLecture Notes in Economics and Mathematical Systems.
dc.typeArticulo
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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