610 research outputs found
Criterion of unitary similarity for upper triangular matrices in general position
Each square complex matrix is unitarily similar to an upper triangular matrix
with diagonal entries in any prescribed order. Let A and B be upper triangular
n-by-n matrices that (i) are not similar to direct sums of matrices of smaller
sizes, or (ii) are in general position and have the same main diagonal. We
prove that A and B are unitarily similar if and only if ||h(A_k)||=||h(B_k)||
for all complex polynomials h(x) and k=1, 2, . . , n, where A_k and B_k are the
principal k-by-k submatrices of A and B, and ||M|| is the Frobenius norm of M.Comment: 16 page
Open problems on GKK tau-matrices
We propose several open problems on GKK tau-matrices raised by examples
showing that some such matrices are unstableComment: To appear in Linear Algebra and its Applications (LAA
A complete unitary similarity invariant for unicellular matrices
We present necessary and sufficient conditions for an n\times n complex
matrix B to be unitarily similar to a fixed unicellular (i.e., indecomposable
by similarity) n\times n complex matrix AComment: 16 page
Sensitivity and Dynamic Distance Oracles via Generic Matrices and Frobenius Form
Algebraic techniques have had an important impact on graph algorithms so far.
Porting them, e.g., the matrix inverse, into the dynamic regime improved
best-known bounds for various dynamic graph problems. In this paper, we develop
new algorithms for another cornerstone algebraic primitive, the Frobenius
normal form (FNF). We apply our developments to dynamic and fault-tolerant
exact distance oracle problems on directed graphs.
For generic matrices over a finite field accompanied by an FNF, we show
(1) an efficient data structure for querying submatrices of the first
powers of , and (2) a near-optimal algorithm updating the FNF explicitly
under rank-1 updates.
By representing an unweighted digraph using a generic matrix over a
sufficiently large field (obtained by random sampling) and leveraging the
developed FNF toolbox, we obtain: (a) a conditionally optimal distance
sensitivity oracle (DSO) in the case of single-edge or single-vertex failures,
providing a partial answer to the open question of Gu and Ren [ICALP'21], (b) a
multiple-failures DSO improving upon the state of the art (vd. Brand and
Saranurak [FOCS'19]) wrt. both preprocessing and query time, (c) improved
dynamic distance oracles in the case of single-edge updates, and (d) a dynamic
distance oracle supporting vertex updates, i.e., changing all edges incident to
a single vertex, in worst-case time and distance queries in
time.Comment: To appear at FOCS 202
On the number of invariant polynomials of matrix commutators
We study the possible numbers of nonconstant invariant polynomials of the matrix commutator XA - AX, when X varies.Praxis ProgramCAU
Polynomial traces and elementary symmetric functions in the latent roots of a non-central Wishart matrix
Hypergeometric functions and zonal polynomials are the tools usually
addressed in the literature to deal with the expected value of the elementary
symmetric functions in non-central Wishart latent roots. The method here
proposed recovers the expected value of these symmetric functions by using the
umbral operator applied to the trace of suitable polynomial matrices and their
cumulants. The employment of a suitable linear operator in place of
hypergeometric functions and zonal polynomials was conjectured by de Waal in
1972. Here we show how the umbral operator accomplishes this task and
consequently represents an alternative tool to deal with these symmetric
functions. When special formal variables are plugged in the variables, the
evaluation through the umbral operator deletes all the monomials in the latent
roots except those contributing in the elementary symmetric functions.
Cumulants further simplify the computations taking advantage of the convolution
structure of the polynomial trace. Open problems are addressed at the end of
the paper
On the Non-Symmetric Spectra of Certain Graphs
The study of eigenvalue list multiplicities of matrices with certain graphs has appeared in volumes for symmetric real matrices. Very interesting properties, such as interlacing, equivalent geometric and algebraic multiplicities of eigenvalues, and Parter-Weiner-Etc. Theory drive the study of symmetric real matrices. We diverge from this and analyze non-symmetric real matrices and ask if we can attain more possible eigenvalue list multiplicities. We fully describe the possible algebraic list multiplicities for matrices with graphs and
- …