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Emily Tibor

Publications and source records attributed to Emily Tibor.

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Frozen Pipes: Lattice Models for Grothendieck Polynomials

We introduce families of two-parameter multivariate polynomials indexed by pairs of partitions $v,w$ -- biaxial double $(β,q)$-Grothendieck polynomials -- which specialize at $q=0$ and $v=1$ to double $β$-Grothendieck polynomials from torus-equivariant connective K-theory. Initially defined recursively via divided difference operators, our main result is that these new polynomials arise as partition functions of solvable lattice models. Moreover, the associated quantum group of the solvable model for polynomials in $n$ pairs of variables is a Drinfeld twist of the $U_q(\widehat{\mathfrak{sl}}_{n+1})$ $R$-matrix. By leveraging the resulting Yang-Baxter equations of the lattice model, we show that these polynomials simultaneously generalize double $β$-Grothendieck polynomials and dual double $β$-Grothendieck polynomials for arbitrary permutations. We then use properties of the model and Yang-Baxter equations to reprove Fomin-Kirillov's Cauchy identity for $β$-Grothendieck polynomials, generalize it to a new Cauchy identity for biaxial double $β$-Grothendieck polynomials, and prove a new branching rule for double $β$-Grothendieck polynomials.

math.CO

Performance of the Uniform Closure Method for open knotting as a Bayes-type classifier

The discovery of knotting in proteins and other macromolecular chains has motivated researchers to more carefully consider how to identify and classify knots in open arcs. Most definitions classify knotting in open arcs by constructing an ensemble of closures and measuring the probability of different knot types among these closures. In this paper, we think of assigning knot types to open curves as a classification problem and compare the performance of the Bayes MAP classifier to the standard Uniform Closure Method. Surprisingly, we find that both methods are essentially equivalent as classifiers, having comparable accuracy and positive predictive value across a wide range of input arc lengths and knot types.

math.GT