Assigning Students to Schools to Minimize Socioeconomic Variation between Schools: An Introduction to Optimization Modeling at noon on Thursday 10/18 in Olin 268

Student Colloquium talk by Professor Dick Forrester of Dickinson College

Title: Assigning Students to Schools to Minimize Socioeconomic Variation between Schools: An Introduction to Optimization Modeling

Abstract: Numerous studies have found that a student’s academic achievement is as much determined by the socioeconomic composition of their school as their own socioeconomic status. In this talk we provide a methodology for assigning students to schools so as to balance the socioeconomic compositions of the schools while taking into consideration the total travel distance. Our technique utilizes a bi-objective general 0-1 fractional program that is linearized into a mixed 0-1 linear program which can be submitted directly to a standard optimization package. If you didn’t understand that last sentence, don’t worry, the purpose of this talk is to introduce you to optimization modeling.  As a test case for our approach we analyze data from the Greenville County School District in Greenville, South Carolina.

Student talk: Tom Cooney October 19, noon in Olin 268

Quantum Games and Quantum Computing

Thursday, October 19, 12:00 P.M. ROOM 268 in the Olin Science Building

Abstract: What’s the shortest message you can send someone? It might seem like the answer is a single bit: a 0 or a 1.

But the world is much stranger than that! We can also send quantum bits (or qubits) that can be 0 or 1 or “both” 0 and 1 at the same time.

These quantum messages have surprising power for computing and sending information. I’ll talk about how we can better understand these strange quantum messages by studying games that use quantum messages instead of classical messages.

Fibonacci at Bucknell!

Leonardo of Pisa (a.k.a Fibonacci) has a remarkable connection with Bucknell, and to celebrate this fact we are holding an interdisciplinary conference on October 14. Featured speakers include:
Mario Livio – an astrophysicist and author of popular science books,
Keith Devlin – NPR’s “Math Guy” and the author of numerous popular mathematics books,
William Goetzmann – Director of the International Center for Finance, Yale University

This event will be in the Langone Center from 10:00 a.m. until 2:30 p.m.

Lunch tickets are available in Olin 380, or by writing to math@bucknell.edu

Learn more here.

Student Talk: Jimmy Chen, September 21 at noon in Olin 268

Title: Efficiency Of Non-Compliance Chargeback Mechanisms In Retail Supply Chains

Abstract: In practice, suppliers fill retailers’ purchase orders to the fill-rate targets to avoid the non-compliance financial penalty, or chargeback, in the presence of service level agreement. Two chargeback mechanisms – flat-fee and linear – have been proven to effectively coordinate the supply chain in a single-period setting. However, the mechanisms’ efficiency, the incurred penalty costs necessary to coordinate the supply chain, have not been studied yet. Since retailers are often accused of treating chargeback as an additional source of revenue, this study compares the expected penalties resulted from the flat-fee or linear chargeback to shed light on the retailers’ choice of mechanisms. Using experimental scenarios consisting of various demand functions, demand variabilities, and fill-rate targets, the simulation results offer counter-evidence to the accusation.

Distinguished Visiting Professor Talk: Il Bong Jung 2/28 @ 4 pm in Olin 372

Title:  Quasinormality and weak quasinormality of operators

 

Abstract:  There are two notions to define the quasinormality of unbounded operators by Kaufman and Stochel-Szafraniec respectively. Our results show that Kaufman’s definition of an unbounded quasinormal operator coincides with that given by Stochel-Szafraniec. In this talk we discuss various characterizations of unbounded quasinormal operators. Examples demonstrating the sharpness of our results are constructed. An absolute continuity approach to quasinormality which relates the operator in question to the spectral measure of its modulus is developed. This approach establishes a new definition to be called weakly quasinormal operators. Some characterizations concerning to the weakly quasinormal operators are discussed. In addition, various examples and counterexamples illustrating the concepts of this work are constructed by using weighted shifts on directed trees.

Distinguished Visiting Professor Talk: Ralf Schmidt 1/31 @ 4 pm in Olin 372

Title: What is Number Theory?

Abstract: In its original meaning, Number Theory is concerned with the properties of the “natural” numbers 1, 2, 3, … In this talk we will attempt to explain how the consequent study of “elementary” properties of numbers leads naturally to the theory of automorphic forms and the vast web of conjectures known as the “Langlands program”.

DVP Talk: Amanda Folsom, 4/19 @ 4

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Title:  Mock and quantum modular forms

Abstract:  Mock modular forms were first formally defined in the literature by Zagier in 2007, though their roots trace back to the mock theta functions, curious power series described by Ramanujan in his last letter to Hardy in 1920. As the overarching theory of harmonic Maass forms has progressed over the last 15 years, we have seen applications of mock modular forms in number theory, combinatorics, representation theory, and more. Zagier also defined quantum modular forms in 2010, which like mock modular forms feign modularity in some way, but unlike mock modular forms are only defined on sets of rational numbers. In this talk, we will give an introduction to and brief history of these subjects. We will also discuss an application in joint work with Ken Ono (Emory) and Rob Rhoades (CCR Princeton), in which we revisit Ramanujan’s last letter and prove one of his remaining claims as a special case of a more general result.

Student Talk Series: Matt Mizuhara ’12, March 24th @ 12 noon in Olin 268

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Title: Mathematical biology under the microscope:  A study of cell motility

Abstract: Although physics and chemistry have long relied on mathematics as a descriptive and exploratory tool, biological systems were historically seen as too complex to be understood theoretically. However, advances in mathematics and computational capabilities now allow for the quantification of biological problems in a field called mathematical biology.
In this talk I will introduce a modern topic of mathematical biology: crawling cell motility. Cell motion plays a central role in wound healing and the immune response, e.g., to fight foreign bodies. We will present a partial differential equation model for cell motion proposed by Ziebert et al. (2011). The subsequent analytical and numerical studies give rise to surprising mathematical results as well as novel insights for biologists, including applications to directed cell motility and sorting. This talk will not require any prerequisite knowledge of partial differential equations or biology, though a calculus background will be helpful.

Student Talk Series: Mark Meyer, January 28th @ 12 noon in Olin 268

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Title:  I’m all about that Bayes, ’bout that Bayes.

Abstract:  A September 2014 New York Times article titled “The Odds, Continually Updated” discusses the growing popularity of Bayesian statistics both within and outside of the statistical community. This expansion is due in part to the growth of computing power over the last decade and a half. So what is Bayesian statistics? The title of the article, and indeed the article itself, suggest that Bayesian statistics uses, even requires, prior information to inform the analysis. But this is only a small aspect of the Bayesian approach. We can use Bayesian statistics to analyze any data and, as we shall see, it can even provide more informative solutions than the Frequentist, or classical, approach to many problems. This talk will discuss the two philosophies of statistics: Bayesian and Frequentist. In doing so, we will cover some history behind the Bayesian paradigm, introduce the general approach to Bayesian statistics, and discuss several real examples, in each case comparing the Bayesian and Frequentist approaches to each other.