John Pardon

  1. Central limit theorems for uniform model random polygons.

    Authors: John Pardon
    Subjects: Probability
    Abstract

    We show how a central limit theorem for Poisson model random polygons implies
    a central limit theorem for uniform model random polygons. To prove this
    implication, it suffices to show that in the two models, the variables in
    question have asymptotically the same expectation and variance. We use integral
    geometric expressions for these expectations and variances to reduce the
    desired estimates to the convergence $(1+\frac\alpha n)^n\to e^\alpha$ as
    $n\to\infty$.

  2. The link concordance invariant from Lee homology.

    Authors: John Pardon
    Subjects: Geometric Topology
    Abstract

    We use the knot homology of Khovanov and Lee to construct link concordance
    invariants generalizing the Rasmussen $s$-invariant of knots. The relevant
    invariant for a link is a filtration on a vector space of dimension $2^{|L|}$.
    The basic properties of the $s$-invariant all extend to the case of links; in
    particular, any orientable cobordism $\Sigma$ between links induces a map
    between their corresponding vector spaces which is filtered of degree
    $\chi(\Sigma)$.

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