Optimal management and spatial patterns in a distributed shallow lake model

dc.contributor.authorGrass, Dieter
dc.contributor.authorUecker, Hannes
dc.date.accessioned2022-03-11T16:15:37Z
dc.date.available2022-03-11T16:15:37Z
dc.date.issued2017-01-04
dc.description.abstractWe present a numerical framework to treat infinite time horizon spatially distributed optimal control problems via the associated canonical system derived by Pontryagin's maximum principle. The basic idea is to consider the canonical system in two steps. First we perform a bifurcation analysis of canonical steady states using the continuation and bifurcation package pde2path, yielding a number of so called flat and patterned canonical steady states. In a second step we link pde2path to the two point boundary value problem solver TOM to study time dependent canonical paths to steady states having the so called saddle point property. As an example we consider a shallow lake model with diffusion.
dc.description.departmentMathematics
dc.formatText
dc.format.extent21 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationGrass, D., & Uecker, H. (2017). Optimal management and spatial patterns in a distributed shallow lake model. <i>Electronic Journal of Differential Equations, 2017</i>(01), pp. 1-21
dc.identifier.issn1072-6691
dc.identifier.urihttps://hdl.handle.net/10877/15497
dc.language.isoen
dc.publisherTexas State University, Department of Mathematics
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceElectronic Journal of Differential Equations, 2017, San Marcos, Texas: Texas State University and University of North Texas.
dc.subjectOptimal control
dc.subjectPontryagin's maximum principle
dc.subjectBioeconomics
dc.subjectCanonical steady states
dc.subjectConnecting orbits
dc.titleOptimal management and spatial patterns in a distributed shallow lake model
dc.typeArticle

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