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Published on: February 15, 2016
Split-Facets for Balanced Minimal Evolution Polytopes and the Permutoassociahedron
Stefan Forcey1, Logan Keefe2, William Sands2
1Department of Mathematics, The University of Akron, Akron, OH, 44325-4002, USA. sforcey@uakron.edu.
Researchers discovered a new sublattice within the balanced minimal evolution (BME) polytope, revealing its connection to phylogenetic tree splits. This finding expands our understanding of BME polytope structures and their exponential growth in phylogenetic analysis.
Area of Science:
- Phylogenetic Theory
- Computational Biology
- Discrete Geometry
Background:
- The structure of the balanced minimal evolution (BME) polytope is crucial for understanding phylogenetic relationships.
- Identifying the top-dimensional facets of this polytope is a key challenge in phylogenetic theory.
- Previous work by Hodge, Haws, and Yoshida established a lattice of faces for the BME polytope.
Purpose of the Study:
- To investigate the face structure of the balanced minimal evolution (BME) polytope.
- To identify and characterize the top-dimensional facets of the BME polytope.
- To establish a connection between phylogenetic tree splits and the BME polytope's combinatorial structure.
Main Methods:
- Mathematical analysis of the balanced minimal evolution (BME) polytope.
- Exploration of the poset of faces of the BME polytope.
- Comparison with the structure of the permutoassociahedron and its quotients.
Main Results:
- A sublattice within the BME polytope's face poset was identified, isomorphic to a quotient of the permutoassociahedron.
- This sublattice represents compatible sets of splits from phylogenetic trees.
- Maximal elements in this new poset correspond to single leaf splits, with most being facets of the BME polytope, exhibiting exponential growth.
Conclusions:
- The study reveals a novel combinatorial structure within the BME polytope related to phylogenetic splits.
- This extends previous findings on the BME polytope's face lattice.
- The results provide new insights into the complexity and structure of phylogenetic models.
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