Applied/ACMS/absS11: Difference between revisions
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Further spectral analysis allows us to give conditions for | Further spectral analysis allows us to give conditions for | ||
asynchronous exponential growth of the linear semigroup. | asynchronous exponential growth of the linear semigroup. | ||
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== Alex Kiselev, UW-Madison (Mathematics) == | |||
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Revision as of 14:39, 25 January 2011
Cynthia Vinzant, UC Berkeley
| The central curve in linear programming |
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The central curve of a linear program is an algebraic curve specified by the associated hyperplane arrangement and cost vector. This curve is the union of the various central paths for minimizing or maximizing the cost function over any region in this hyperplane arrangement. Here we will discuss the algebraic properties of this curve and its beautiful global geometry. In the process, we'll need to study the corresponding matroid of the hyperplane arrangement. This will let us give a refined bound on the total curvature of the central curve, a quantity relevant for interior point methods. This is joint work with Jesus De Loera and Bernd Sturmfels appearing in arXiv:1012.3978. |
József Farkas, University of Stirling, Scotland
| Analysis of a size-structured cannibalism model with infinite dimensional environmental feedback
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First I will give a brief introduction to structured population dynamics. Then I will consider a size-structured cannibalism model with the model ingredients depending on size (ranging over an infinite domain) and on a general function of the standing population (environmental feedback). Our focus is on the asymptotic behavior of the system. We show how the point spectrum of the linearised semigroup generator can be characterized in the special case of a separable attack rate and establish a general instability result. Further spectral analysis allows us to give conditions for asynchronous exponential growth of the linear semigroup. |
Alex Kiselev, UW-Madison (Mathematics)
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Tim Reluga, Penn State University
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Ellen Zweibel, UW-Madison (Astronomy)
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Vageli Coutsias, University of New Mexico
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