The maximum likelihood degree of a very affine variety
By June Huh. Compositio Mathematica, 2012
112 citations recorded by the source corpus.
Abstract We show that the maximum likelihood degree of a smooth very affine variety is equal to the signed topological Euler characteristic. This generalizes Orlik and Terao’s solution to Varchenko’s conjecture on complements of hyperplane arrangements to smooth very affine varieties. For very affine varieties satisfying a genericity condition at infinity, the result is further strengthened to relate the variety of critical points to the Chern–Schwartz–MacPherson class. The strengthened version recovers the geometric deletion–restriction formula of Denham et al. for arrangement complements, and generalizes Kouchnirenko’s theorem on the Newton polytope for nondegenerate hypersurfaces.
Subfields: Algebra and Number Theory, Computational Theory and Mathematics, Geometry and Topology
View Paper: https://www.semanticscholar.org/paper/5bad402f446c4332531c006d1b6bf3f52d8e3973
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Algebra and Number Theory
- Federico Ardila
- Graham C. Denham
- June Huh
- Bernd Sturmfels
- Eric Katz
- Paolo Aluffi
- Jenia Tevelev
- Petter Brand'en
In Computational Theory and Mathematics
- Federico Ardila
- Graham C. Denham
- June Huh
- Bernd Sturmfels
- Eric Katz
- David E. Speyer
- Martyn Marshall
- Michael Joswig
In Geometry and Topology
- Federico Ardila
- Graham C. Denham
- June Huh
- Bernd Sturmfels
- Eric Katz
- Paolo Aluffi
- Sam Payne
- Jenia Tevelev
Citations in the corpus
- Lagrangian geometry of matroids (2020, methodology): “License or copyright restrictions may apply to redistribution; see https://www.ams.org/journal-terms-of-use When M is representable over C,6 the third author gave an algebro-geometric version of Theorem 1.1 in [Huh13].”
- Likelihood Geometry (2013, background): “This section ties our discussion to the work of Aluffi [2, 3, 4] and Huh [24, 25, 26].”