The Boundary Conjecture for doubly stochastic single eigenvalues
The Boundary Conjecture for doubly stochastic single eigenvalues
Let be the set of complex numbers that occur as eigenvalues of -by- doubly stochastic matrices, and let a convex combination of permutation matrices mean a matrix of the form with . Boundary Conjecture. Every point of the boundary of is an eigenvalue of a convex combination of at most two permutation matrices. This conjecture proposes a tractable description of the boundary of the doubly stochastic single eigenvalue region; it is supported by computations and by the known cases where , but the paper does not establish it in general.
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Sources & referencesView supporting material
Primary source
Amit Harlev, Charles R. Johnson and Derek Lim, “The Doubly Stochastic Single Eigenvalue Problem: A Computational Approach”, arXiv:1908.03647 (2020).
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