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Big Data Conference 2024
September 6, 2024 - September 7, 2024      9:00 am
https://cmsa.fas.harvard.edu/event/bigdata_2024/   On  September 6-7, 2024, the CMSA will host the tenth annual Conference on Big Data. The Big Data Conference features speakers from the...
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  • GAUGE-TOPOLOGY-SYMPLECTIC SEMINAR: Monodromy of Kodaira fibrations

    GAUGE-TOPOLOGY-SYMPLECTIC SEMINAR
    Monodromy of Kodaira fibrations

    Speaker: Laure Flapan – Northeastern

    3:30 PM-4:30 PM
    November 2, 2018
    Science Center 507
    1 Oxford Street, Cambridge, MA 02138 USA
    Abstract:

    A long-standing question in studying the topology of complex algebraic varieties is the question of what groups can occur as the fundamental group of a smooth projective variety. One approximation of this question in the case of fibered varieties is to ask what groups can occur as the monodromy group of such a fibration. We use Hodge theory to investigate this question in the case of fibered algebraic surfaces, called Kodaira fibrations, whose fibers are all smooth and draw connections with questions about Shimura varieties and the moduli space of smooth algebraic curves.

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  • GAUGE-TOPOLOGY-SYMPLECTIC SEMINAR: Structural results in wrapped Floer theory

    GAUGE-TOPOLOGY-SYMPLECTIC SEMINAR
    Structural results in wrapped Floer theory

    Speaker: John Pardon – Princeton

    3:30 PM-4:30 PM
    November 30, 2018
    Science Center 507
    1 Oxford Street, Cambridge, MA 02138 USA
    Abstract:

    I will discuss results relating different partially wrapped Fukaya categories. These include a Kunneth formula, a ‘stop removal’ result relating partially wrapped Fukaya categories relative to different stops, and a gluing formula for wrapped Fukaya categories. The techniques also lead to generation results for Weinstein manifolds and for Lefschetz fibrations. The methods are mainly geometric, and the key underlying Floer theoretic fact is an exact triangle in the Fukaya category associated to Lagrangian surgery along a short Reeb chord at infinity. This is joint work with Sheel Ganatra and Vivek Shende.

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