• Recent developments on the slice rank polynomial method with applications (Mohamed Omar, HMC)

    Davidson Lecture Hall, CMC 340 E 9th St, Claremont, CA, United States

    The slice rank polynomial method, motivated by groundbreaking work of Croot, Lev and Pach and refined by Tao, has opened the door to the resolution of many problems in extremal combinatorics. We survey these results and discuss contributions in several of the speaker's recent papers.

  • How do mathematicians believe? (Prof. Brian P Katz)

    Humanities Auditorium, Scripps College, and Zoom Claremont, CA, United States

    Title: How do mathematicians believe? Speaker: Brian P Katz (BK), Department of Mathematics and Statistics, CSU, Long Beach Abstract: Love it or hate it, many people believe that mathematics gives humans access to a kind of truth that is more absolute and universal than other disciplines. If this claim is true, we must ask: what makes the […]

  • On Schauder’s Theorem and $s$-numbers (Daniel Akech Thiong, CGU)

    Roberts North 105, CMC 320 E. 9th St., Claremont, CA, United States

    Let \mathcal{L}(X,Y) denote the normed vector space of all continuous operators from \(X\) to \(Y\), \(X^*\) be the dual space of \(X\), and \(\mathcal{K}(X,Y)\) denote the collection of all compact […]

  • Applied Math Seminar: Adam Waterbury (UCSB)

    Shanahan 2407 at Harvey Mudd College Claremont, CA, United States

    Title: Approximating Quasi-Stationary Distributions with Interacting Reinforced Markov Chains Abstract: An important question in ecology is what conditions must be met for a population of interacting species to coexist. In […]

  • On the geometry of lattice extensions (Max Forst, CGU)

    Davidson Lecture Hall, CMC 340 E 9th St, Claremont, CA, United States

    Given a lattice L, an extension of L is a lattice M of strictly greater rank so that L is equal to the intersection of the subspace spanned by L with M. In this talk, we will discus constructions of such lattice extensions with particular geometric invariants of M, such as the determinant, covering radius […]

  • Human Computers in Astronomy: Women Astronomers at Mount Wilson Observatory during the Early Twentieth Century (Prof. Eun-Joo Ahn)

    Humanities Auditorium, Scripps College, and Zoom Claremont, CA, United States

    Title: Human Computers in Astronomy: Women Astronomers at Mount Wilson Observatory during the Early Twentieth Century Speaker: Eun-Joo Ahn, Department of History, UC Santa Barbara Abstract: Mount Wilson Observatory was founded by astrophysicist George Ellery Hale in 1904 with funding from the Carnegie Institution of Washington. Since then, it has become one of the most prominent […]

  • GEMS October 15th Session

    Shanahan 1480, Harvey Mudd College 301 Platt Blvd., Claremont, CA, United States
  • Applied Math Seminar: Susan Friedlander (USC)

    Shanahan 2407 at Harvey Mudd College Claremont, CA, United States

    Title: Kolmogorov, Onsager and a Dyadic Model for Turbulence Abstract: We will briefly review Kolmogorov’s ( 41) theory of homogeneous turbulence and Onsager’s ( 49 ) conjecture that in 3-dimensional […]

  • Properties of redistricting Markov chains (Sarah Cannon, CMC)

    Davidson Lecture Hall, CMC 340 E 9th St, Claremont, CA, United States

    Markov chains have become widely-used to generate random political districting plans. These random districting plans can be used to form a baseline for comparison, and any proposed districting plans that differ significantly from this baseline can be flagged as potentially gerrymandered. However, very little is rigorously known about these Markov chains - Are they irreducible? […]

  • Frequentist Model Averaging in the Generalized Multinomial Logit Model (Prof. Tonia Zeng)

    Humanities Auditorium, Scripps College, and Zoom Claremont, CA, United States

    Title: Frequentist Model Averaging in the Generalized Multinomial Logit Model Speaker: Tonia Zeng, Applied Business Sciences and Economics, University of La Verne Abstract: The generalized multinomial logit (GMNL) model accommodates scale heterogeneity to the random parameters logit (RPL) model. It has been often used to study people's preferences and predict people's decisions in many areas, […]