Calendar

< 2022 >
March 06 - March 12
  • 06
    March 6, 2022
    No events
  • 07
    March 7, 2022
    No events
  • 08
    March 8, 2022

    CMSA Combinatorics, Physics, and Probability: Greedy maximal independent sets via local limits

    9:00 AM-10:00 AM
    March 8, 2022

    The random greedy algorithm for finding a maximal independent set in a graph has been studied extensively in various settings in combinatorics, probability, computer science, and chemistry. The algorithm builds a maximal independent set by inspecting the graph’s vertices one at a time according to a random order, adding the current vertex to the independent set if it is not connected to any previously added vertex by an edge.

    In this talk, I will present a simple yet general framework for calculating the asymptotics of the proportion of the yielded independent set for sequences of (possibly random) graphs, involving a valuable notion of local convergence. I will demonstrate the applicability of this framework by giving short and straightforward proofs for results on previously studied families of graphs, such as paths and various random graphs, and by providing new results for other models such as random trees.

    If time allows, I will discuss a more delicate (and combinatorial) result, according to which, in expectation, the cardinality of a random greedy independent set in the path is no larger than that in any other tree of the same order.


    Password: 1251442

    Continuous symmetry breaking along the Nishimori line

    9:30 AM-10:30 AM
    March 8, 2022

    The Nishimori line (NL) describes a special one parameter family of disordered spin models which are invariant under a gauge transformation acting jointly on the spins and the disorder. For group valued spins such, as SO(2) and SU(2), we prove that there is long range order in 3 or more dimensions along the NL. The proof relies on work of Abbe, Massoulie, Montanari, Sly and Srivastava on group synchronization. It does not use reflection positivity. This is joint work with Christophe Garban, arXiv:2109.01617v2.


    https://harvard.zoom.us/j/779283357?pwd=MitXVm1pYUlJVzZqT3lwV2pCT1ZUQT09

  • 09
    March 9, 2022

    Joint Harvard-CUHK-YMSC Differential Geometry: The Gopakumar-Vafa finiteness conjecture

    3:00 AM-4:00 AM
    March 9, 2022

    In 1998, using arguments from M-theory, Gopakumar and Vafa argued that there are integer BPS invariants of symplectic Calabi-Yau 3-folds. Unfortunately, they did not give a direct mathematical definition of their BPS invariants, but they predicted that they are related to the Gromov-Witten invariants by a transformation of the generating series. The Gopakumar-Vafa conjecture asserts that if one defines the BPS invariants indirectly through this procedure, then they satisfy an integrality and a (genus) finiteness condition.

     

    The integrality conjecture has been resolved by Ionel and Parker. A key innovation of their proof is the introduction of the cluster formalism: an ingenious device to side-step questions regarding multiple covers and super-rigidity. Their argument could not resolve the finiteness conjecture, however. The reason for this is that it relies on Gromov’s compactness theorem for pseudo-holomorphic maps which requires an a priori genus bound. It turns out, however, that rather powerful tools from geometric measure theory imply a compactness theorem for pseudo-holomorphic cycles. This can be used to upgrade Ionel and Parker’s cluster formalism and prove both the integrality and finiteness conjecture.


    Zoom Link: https://cuhk.zoom.us/j/95974708402

    Meeting ID: 959 7470 8402

    Passcode: 20220309

    CMSA Colloquium: Side-effects of Learning from Low Dimensional Data Embedded in an Euclidean Space

    9:30 AM-10:30 AM
    March 9, 2022

    The  low  dimensional  manifold  hypothesis  posits  that  the  data  found  in many applications, such as those involving natural images, lie (approximately) on low dimensional manifolds embedded in a high dimensional Euclidean space. In this setting, a typical neural network defines a function that takes a finite number of vectors in the embedding space as input.  However, one often needs to  consider  evaluating  the  optimized  network  at  points  outside  the  training distribution.  We analyze the cases where the training data are distributed in a linear subspace of Rd.  We derive estimates on the variation of the learning function, defined by a neural network, in the direction transversal to the subspace.  We study the potential regularization effects associated with the network’s depth and noise in the codimension of the data manifold.


    For information on how to join, please see:  https://cmsa.fas.harvard.edu/seminars-and-colloquium/

    CMSA Quantum Matter in Mathematics and Physics: Anomalies, topological insulators and Kaehler-Dirac fermions

    10:30 AM-12:00 PM
    March 9, 2022

    Motivated by a puzzle arising from recent work on staggered lattice fermions we introduce Kaehler-Dirac fermions and describe their connection both to Dirac fermions and staggered fermions. We show that they suffer from a gravitational anomaly that breaks a chiral U(1) symmetry specific to Kaehler-Dirac fermions down to Z_4 in any even dimension. In odd dimensions we show that the effective theory that results from integrating out massive Kaehler-Dirac fermions is a topological gravity theory. Such theories generalize Witten’s construction of (2+1) gravity as a Chern Simons theory. In the presence of a domain wall massless modes appear on the wall which can be consistently coupled to gravity due to anomaly inflow from the bulk gravitational theory. Much of this story parallels the usual discussion of topological insulators. The key difference is that the twisted chiral symmetry and anomaly structure of Kaehler-Dirac theories survives intact under discretization and governs the behavior of the lattice models. $Z_4$ invariant four fermion interactions can be used to gap out states in such theories without breaking symmetries and in flat space yields the known constraints on the number of Majorana fermions needed symmetric mass generation namely eight and sixteen Majorana spinors in two and four dimensions.


    For information on how to join, please see:  https://cmsa.fas.harvard.edu/seminars-and-colloquium/

    CMSA New Technologies in Mathematics: Machine Learning 30 STEM Courses in 12 Departments

    2:00 PM-3:00 PM
    March 9, 2022

    We automatically solve, explain, and generate university-level course problems from thirty STEM courses (at MIT, Harvard, and Columbia) for the first time.
    We curate a new dataset of course questions and answers across a dozen departments: Aeronautics and Astronautics, Chemical Engineering, Chemistry, Computer Science, Economics, Electrical Engineering, Materials Science, Mathematics, Mechanical Engineering, Nuclear Science, Physics, and Statistics.
    We generate new questions and use them in a Columbia University course, and perform A/B tests demonstrating that these machine generated questions are indistinguishable from human-written questions and that machine generated explanations are as useful as human-written explanations, again for the first time.
    Our approach consists of five steps:
    (i) Given course questions, turn them into programming tasks;
    (ii) Automatically generate programs from the programming tasks using a Transformer model, OpenAI Codex, pre-trained on text and fine-tuned on code;
    (iii) Execute the programs to obtain and evaluate the answers;
    (iv) Automatically explain the correct solutions using Codex;
    (v) Automatically generate new questions that are qualitatively indistinguishable from human-written questions.
    This work is a significant step forward in applying machine learning for education, automating a considerable part of the work involved in teaching.
    Our approach allows personalization of questions based on difficulty level and student backgrounds, and scales up to a broad range of courses across the schools of engineering and science.
    This is joint work with students and colleagues at MIT, Harvard University, Columbia University, Worcester Polytechnic Institute, and University of Waterloo.


    https://harvard.zoom.us/j/99651364593?pwd=Q1R0RTMrZ2N ZQjg1U1ZOaUYzSE02QT09

    Counting fields generated by points on plane curves

    3:00 PM-4:00 PM
    March 9, 2022
    1 Oxford Street, Cambridge, MA 02138 USA

    For a smooth projective curve $C/\mathbb{Q}$, how many field extensions of $\mathbb{Q}$ — of given degree and bounded discriminant — arise from adjoining a point of $C(verline{\mathbb{Q}})$? Can we further count the number of such extensions with a specified Galois group?
    Asymptotic lower bounds for these quantities have been found for elliptic curves by Lemke Oliver and Thorne, for hyperelliptic curves by Keyes, and for superelliptic curves by Beneish and Keyes. We discuss similar asymptotic lower bounds that hold for all smooth plane curves $C$.


     

  • 10
    March 10, 2022

    CMSA Interdisciplinary Science Seminar: Virtual Teams in Gig Economy -- An End-to-End Data Science Approach

    9:00 AM-10:00 AM
    March 10, 2022

    The gig economy provides workers with the benefits of autonomy and flexibility, but it does so at the expense of work identity and co-worker bonds. Among the many reasons why gig workers leave their platforms, an unexplored aspect is the organization identity. In a series of studies, we develop a team formation and inter-team contest at a ride-sharing platform. We employ an end-to-end data science approach, combining methodologies from randomized field experiments, recommender systems, and counterfactual machine learning. Together, our results show that platform designers can leverage team identity and team contests to increase revenue and worker engagement in a gig economy.


    For information on how to join, please see:  https://cmsa.fas.harvard.edu/seminars-and-colloquium/

    CMSA General Relativity: The Einstein-flow on manifolds of negative curvature

    9:30 AM-10:30 AM
    March 10, 2022

    We consider the Cauchy problem for the Einstein equations for cosmological spacetimes, i.e. spacetimes with compact spatial hypersurfaces. Various classes of those dynamical spacetimes have been constructed and analyzed using CMC foliations or equivalently the CMC-Einstein flow. We will briefly review the Andersson-Moncrief stability result of negative Einstein metrics under the vacuum Einstein flow and then present various recent generalizations to the nonvacuum case. We will emphasize what difficulties arise in those generalizations, how they can be handled depending on the matter model at hand, and what implications we can draw from these results for cosmology. We then turn to a scenario where the CMC Einstein flow leads to a large data result in 2+1-dimensions.


    For information on how to join, please see:  https://cmsa.fas.harvard.edu/seminars-and-colloquium/

    CMSA Quantum Matter in Mathematics and Physics: Resonant side-jump thermal Hall effect of phonons coupled to dynamical defects

    8:00 PM-9:30 PM
    March 10, 2022

    We present computations of the thermal Hall coefficient of phonons scattering off defects with multiple energy levels. Using a microscopic formulation based on the Kubo formula, we find that the leading contribution perturbative in the phonon-defect coupling is of the `side-jump’ type, which is proportional to the phonon lifetime. This contribution is at resonance when the phonon energy equals a defect level spacing. Our results are obtained for different defect models, and include models of an impurity quantum spin in the presence of quasi-static magnetic order with an isotropic Zeeman coupling to the applied field.
    This work is based on arxiv: 2201.11681


    For information on how to join, please see:  https://cmsa.fas.harvard.edu/seminars-and-colloquium/

  • 11
    March 11, 2022
    No events
  • 12
    March 12, 2022
    No events