ON EIGENVALUE GAPS OF INTEGER MATRICES

被引:0
|
作者
Abrams, Aaron [1 ,2 ]
Landau, Zeph [3 ]
Pommersheim, Jamie [4 ]
Srivastava, Nikhil [5 ]
机构
[1] Washington & Lee Univ, Math Dept, 204 W Washington St, Lexington, VA 24450 USA
[2] Univ Virginia, Sch Data Sci, POB 400249, Charlottesville, VA 22904 USA
[3] Univ Calif Berkelely, Dept Comp Sci, Soda Hall, Berkeley, CA 94706 USA
[4] Reed Coll, Dept Math, 3203 SE Woodstock Blvd, Portland, OR 97202 USA
[5] Univ Calif Berkeley, Dept Math, Evans Hall, Berkeley, CA 94720 USA
关键词
ROOT SEPARATION; DISTANCE;
D O I
10.1090/mcom/3905
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Given an n x n matrix with integer entries in the range [-h, h], how close can two of its distinct eigenvalues be? The best previously known examples (Lu [Minimum eigenvalue separation, 1988]) have a minimum gap of h(-O(n)). Here we give an explicit construction of matrices with entries in [0, h] with two eigenvalues separated by at most h(-n2/16+o(n2)). Up to a constant in the exponent, this agrees with the known lower bound of Omega((2 root n)(-n2)h(-n2)) (Mahler [Michigan Math. J. 11 (1964), pp. 257-262]). Bounds on the minimum gap are relevant to the worst case analysis of algorithms for diagonalization and computing canonical forms of integer matrices (e.g. Dey et al. [Bit complexity of Jordan normal form and Wadern, 2023, pp. Art. No. 42]). In addition to our explicit construction, we show there are many matrices with a slightly larger gap of roughly h(-n2/32). We also construct 0-1 matrices which have two eigenvalues separated by at most 2(-n2/64+o(n2)).
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页码:853 / 862
页数:10
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