Events
Sharon Lubkin, NC State, Surprises from modeling lung development
Tissues grow, change shape, and differentiate, function normally or abnormally, get diseased or injured, repair themselves, and sometimes atrophy. This complex suite of behaviors is governed by a complex suite of controls. Nonetheless, we can identify some general principles at work in the dynamics of tissues. Our goal is to understand how a tissues mechanics and biology regulate each…
Sergi Elizalde, Dartmouth College, Cyclic descents of standard Young tableaux
SAS 4201Cyclic descents of a permutation were defined by Cellini, by allowing the permutation to wrap around as if the last entry was followed by the first. A natural question is whether a similar, well-behaved notion of cyclic descents exists for standard Young tableaux (SYT). We conjectured that such a notion exists for SYT of any…
Daniel B. Szyld, Temple University, Asynchronous Optimized Schwarz Methods for the solution of PDEs
SAS 4201Asynchronous methods refer to parallel iterative procedures where each process performs its task without waiting for other processes to be completed, i.e., with whatever information it has locally available and with no synchronizations with other processes. In this talk, an asynchronous version of the optimized Schwarz method is presented for the solution of differential equations on a parallel computational environment. Convergence is…
John Harlim, Penn State University, Data-driven methods for estimating operator and parameters of dynamical systems
SAS 4201I will discuss a nonparametric modeling approach for forecasting stochastic dynamical systems on smooth manifolds embedded in Euclidean space. This approach allows one to evolve the probability distribution of non-trivial dynamical systems with an equation-free modeling. In the second part of this talk, I will discuss a nonparametric estimation of likelihood functions using data-driven basis functions and the…
Kwangil Koh Series Reception
SAS Hall LobbyAndrew Belmonte, Pennsylvania State U, Koh Lecture on Mathematics in Our Time: Games, Decisions, Evolution, and Chance
SAS 2203Humans play games. Sometimes we roll the dice, or buy lottery tickets - sometimes we play chess, or mind games of manipulation. History gives us two examples of the development of new mathematical ideas and directions from our playful habits: games of chance, which led to the formulation of Probability Theory, and games of strategy,…
Andrew Belmonte, Pennsylvania State University, Careers in Mathematics: Be Nonlinear
1911 Building Room 124Students are often given the impression that there is one way to have an academic career, the right way. Reality is much more complicated, but this can also be empowering. We will discuss such things informally, while drawing some examples from my own path: from particle physics at Fermilab and CERN to cancer research at…
Tea and Cookies
SAS 4104Andew Belmonte, Pennsylvania State U, Do Your Fair Share! Evolutionary Games and the Tragedy of the Commons
SAS 1102Public goods games involve interactions between players or organisms who produce a commonly available good (cooperators) and those who consume it without producing (cheaters, defectors, freeloaders) - several instances are known to occur in nature and economics. The solution that freeloading is a better individual choice is known as the “tragedy of the commons” -…
Ying Zhou, Brandeis University, Tame Hereditary Algebras have finitely many m-Maximal Green Sequences
SAS 4201Keller introduced the concept of maximal green sequences. Brustle-Dupont-Perotin proved that tame quivers have finitely many maximal green sequences. We have generalized the result to m-maximal green sequences. This talk will include a gentle introduction to tame path algebras, their indecomposable modules, silting objects and their mutations, the Auslander-Reiten quiver of bounded derived categories of tame path algebras and the outline…
Caprice Stanley, Suzanne Crifo, NC State
SAS 1102Speaker 1: Caprice Stanley Title: Markov Chain Mixing Time Abstract: Informally a Markov chain is a memoryless stochastic process and its mixing time is the time required for the chain to be near its stationary distribution. Depending on the context, analysis of mixing time can be of great importance. For example, random walk-based algorithms for…
Mario Ricchiuto, INRIA Bordeaux, On dispersive-like effects in channels with banks
SAS 4201The study of the propagation of undular bores in channels is relevant to many applications which go from the propagation of tsunami waves, to that of tidal bores/waves, to the propagation of strong waves in manmade channels due to hazards (e.g. dam breaking). In absence of banks, the flow exhibits a transition across which undulating waves start breaking and transform…
Aliakbar Daemi, Simons Center for Geometry and Physics, Chern-Simons functional and the Homology Cobordism Group
SAS 4201The set of 3-manifolds with the same homology as the 3-dimensional sphere, modulo an equivalence relation called homology cobordance, forms a group. The additive structure of this group is given by taking connected sum. This group is called the homology cobordism group and plays a special role in low dimensional topology and knot theory. In this talk, I…
SIAM info session, discussion, and lunch
Daniels 353The outgoing student chapter president Joey Hart will give a short presentation overviewing SIAM and the opportunities its provides for graduate student members. A discussion time will follow. Pizza will be served.
Daphne Klotsa, University of North Carolina at Chapel Hill, A touch of non-linearity at intermediate Reynolds numbers: where spheres “think” collectively and swim together
SAS 4201From crawling cells to orca whales, swimming in nature occurs at different scales. The study of swimming across length scales can shed light onto the biological functions of natural swimmers or inspire the design of artificial swimmers with applications ranging from targeted drug delivery to deep-water explorations. In this talk, I will present experiments and simulations…
Alie Falastien, Conor Perks and Jaye Sudweeks, Honors Students Research Presentation
Alie Falastein Title: Connectivity Estimation in Neuronal Networks: The Hidden Node Problem Abstract: The human brain is a complex system consisting of billions of neurons. The network connectivity of these neurons gives rise to a variety of dynamical behaviors and understanding it is key to describing the underlying evolution of the system. However, in our analysis of…
The Fourth Duke Mathematical Journal Conference April 26-29, 2018
Duke UniversityThe goal of this conference is to bring young mathematicians together, both as speakers and as participants. The talks will cover an array of subject areas that are well represented in the Duke Journal. There will be nine talks by young mathematicians. More information can be found at: https://sites.duke.edu/dmj2018/
Faye Pasley, Molly Lynch, NC State
Speaker 1: Faye Pasley Title: Determinantal Representations, the Numerical Range, and Invariance We study hyperbolic polynomials with symmetry and express them as the determinant of a Hermitian matrix with special structure. By properly modifying a construction of Dixon (1902), we show for every hyperbolic polynomial of degree $n$ invariant under the cyclic group of order $n$ there…