Title
Higher Rank Numerical Ranges of Normal Matrices
Abstract
The higher rank numerical range is closely connected to the construction of quantum error correction code for a noisy quantum channel. It is known that if a normal matrix $A\in M_n$ has eigenvalues $a_1,\dots,a_n$, then its higher rank numerical range $\Lambda_k(A)$ is the intersection of convex polygons with vertices $a_{j_1},\dots,a_{j_{n-k+1}}$, where $1\leq j_1
Year
DOI
Venue
2011
10.1137/09076430X
SIAM J. Matrix Analysis Applications
Keywords
Field
DocType
. quantum error correction,higher rank,noisy quantum channel,convex polygon,higher rank numerical ranges,leq j_1,higher rank numerical range,convex polygon.,nor- mal matrices,normal matrix,numerical range,quantum error correction code,normal matrices,quantum physics,eigenvalues,quantum channel,quantum error correction,functional analysis
Combinatorics,M-matrix,Vertex (geometry),Convex polygon,Regular polygon,Numerical range,Eigenvalues and eigenvectors,Mathematics,Lambda,Normal matrix
Journal
Volume
Issue
ISSN
32
1
SIAM J. Matrix Analysis Appl, 32:23-43, 2011
Citations 
PageRank 
References 
2
0.58
2
Authors
4
Name
Order
Citations
PageRank
Hwa-Long Gau120.58
Chi-Kwong Li231329.81
Yiu-Tung Poon3122.82
Nung-Sing Sze4144.45