• A tribute to Professor Ellis Cumberbatch (1934-2021)

    Zoom

    Title: A tribute to Professor Ellis Cumberbatch (1934-2021) Abstract: The math colloquium on December 1st will be devoted to remembrances of our beloved CGU colleague Professor Ellis Cumberbatch, a pillar of the Claremont mathematics community, who passed away in September. Three brief talks by his friends and collaborators, Professor John Ockendon (University of Oxford), Dr. […]

  • Difference sets in higher dimensions (David Conlon, Cal Tech)

    On Zoom

    Let d >= 2 be a natural number. We determine the minimum possible size of the difference set A-A in terms of |A| for any sufficiently large finite subset A of R^d that is not contained in a translate of a hyperplane. By a construction of Stanchescu, this is best possible and thus resolves an […]

  • Where do Putnam problems come from? (Prof. Andrew Bernoff)

    Title: Where do Putnam problems come from? Speaker: Andrew Bernoff, Department of Mathematics, Harvey Mudd College Abstract: The William Lowell Putnam Exam is the preeminent mathematics competition for undergraduate college students in the United States and Canada. I recently finished a three year stint on the competition’s problem committee. This talk is a personal reflection on […]

  • Questions on Symmetric Chains (Shahriar Shahriari, Pomona)

    On Zoom

    The set of subsets {1, 3}, {1, 3, 4}, {1, 3, 4, 6} is a symmetric chain in the partially ordered set (poset) of subsets of {1,...,6}. It is a chain, because each of the subsets is a subset of the next one. It is symmetric because the collection has as many subsets with less […]

  • Using Stitching for faster sampling (Prof. Mark Huber)

    Title: Using Stitching for faster sampling Speaker: Mark Huber, Department of Mathematics, Claremont McKenna College Abstract: Point processes are used to model location data, such as the locations of trees in a forest, […]

  • APPLIED MATH SEMINAR: Archetypal analysis by Professor Braxton Osting (University of Utah)

    Archetypal analysis is an unsupervised learning method that uses a convex polytope to summarize multivariate data. For fixed k, the method finds a convex polytope with k vertices, called archetype points, such that the polytope is contained in the convex hull of the data and the mean squared distance between the data and the polytope […]

  • Exploiting metric structure for more accurate classification (Prof. Mike Izbicki)

    Zoom meeting , United States

    Title: Exploiting metric structure for more accurate classification Speaker: Mike Izbicki, Department of Mathematical Sciences, Claremont McKenna College Abstract: Classification problems often have many semantically similar classes.  For example, the famous ImageNet dataset […]

  • Applied Math Seminar — Yunied Puig de Dios (CMC)

    Emmy Noether Room, Estella 1021, Pomona College, 610 N. College Ave., Claremont, CA, United States

    Title: Modern techniques to approach the invariant subspace problem Abstract:  The invariant subspace problem is by far one of the most important problems in operator theory. It has been open for more than half a century, and there are many significant contributions with a huge variety of techniques, making this challenging problem so interesting; however […]

  • Experimental Knot Music v2 (Sam Nelson, CMC)

    Zoom

    In this talk I will recount the history of my knot theory-based music project and show an example of my method for creating music from knot homsets.

  • Modeling the waning and boosting of immunity (Prof. Lauren Childs)

    Zoom

    Title: Modeling the waning and boosting of immunity Speaker: Dr. Lauren Childs Assistant Professor and the Cliff and Agnes Lilly Faculty Fellow Virgina Tech Abstract: Infectious disease often leads to significant loss of life and burden on society. Understanding disease dynamics is essential to the development and implementation of earlier and more effective interventions. Traditionally, perfect, […]