Advances in Mathematics 367 (2020) 107094 Contents lists available at ScienceDirect Advances in Mathematics www.elsevier.com/locate/aim Logarithmic concavity for morphisms of matroids Christopher Eur a,∗, June Huh b a University of California at Berkeley, Berkeley, CA, USA b Institute for Advanced Study, Princeton, NJ, USA a r t i c l e i n f o a b s t r a c t Article history: Morphisms of matroids are combinatorial abstractions of lin- Received 5 June 2019 ear maps and graph homomorphisms. We introduce the notion Received in revised form 5 February of a basis for morphisms of matroids, and show that its gener- 2020 ating function is strongly log-concave. As a consequence, we Accepted 26 February 2020 obtain a generalization of Mason’s conjecture on the f-vectors Available online xxxx Communicated by Petter Brändén of independent subsets of matroids to arbitrary morphisms of matroids. To establish this, we define multivariate Tutte Keywords: polynomials of morphisms of matroids, and show that they Log-concavity are Lorentzian in the sense of [6]for sufficiently small positive Lorentzian polynomials parameters. Matroids © 2020 Elsevier Inc. All rights reserved. Flag matroids Multivariate Tutte polynomials Discrete convexity 1. Introduction E A matroid Mon a finite set E is defined by its rank function rkM :2 → N satisfying the following conditions: (1) For any S ⊆ E, we have rkM(S) ≤|S|. (2) For any S1 ⊆ S2 ⊆ E, we have rkM(S1) ≤ rkM(S2). * Corresponding author. E-mail addresses:
[email protected] (C. Eur),
[email protected] (J. Huh). https://doi.org/10.1016/j.aim.2020.107094 0001-8708/© 2020 Elsevier Inc.