340 research outputs found
Eigenvectors of Z-tensors associated with least H-eigenvalue with application to hypergraphs
Unlike an irreducible -matrices, a weakly irreducible -tensor
can have more than one eigenvector associated with the least
H-eigenvalue. We show that there are finitely many eigenvectors of
associated with the least H-eigenvalue. If is
further combinatorial symmetric, the number of such eigenvectors can be
obtained explicitly by the Smith normal form of the incidence matrix of
. When applying to a connected uniform hypergraph , we prove
that the number of Laplacian eigenvectors of associated with the zero
eigenvalue is equal to the the number of adjacency eigenvectors of
associated with the spectral radius, which is also equal to the number of
signless Laplacian eigenvectors of associated with the zero eigenvalue if
zero is an signless Laplacian eigenvalue
The spectral symmetry of weakly irreducible nonnegative tensors and connected hypergraphs
Let be a weakly irreducible nonnegative tensor with spectral
radius . Let (respectively,
) be the set of normalized diagonal matrices arising from
the eigenvectors of corresponding to the eigenvalues with modulus
(respectively, the eigenvalue ). It is
shown that is an abelian group containing
as a subgroup, which acts transitively on the set , where
and is the
stabilizer of . The spectral symmetry of is
characterized by the group , and
is called spectral -symmetric. We obtain the structural information of
by analyzing the property of , especially for
connected hypergraphs we get some results on the edge distribution and
coloring. If moreover is symmetric, we prove that
is spectral -symmetric if and only if it is -colorable. We
characterize the spectral -symmetry of a tensor by using its generalized
traces, and show that for an arbitrarily given integer and each
positive integer with , there always exists an -uniform
hypergraph such that is spectral -symmetric
Eigenvectors of Laplacian or signless Laplacian of Hypergraphs Associated with Zero Eigenvalue
Let be a connected -uniform hypergraph. In this paper we mainly
consider the eigenvectors of the Laplacian or signless Laplacian tensor of
associated with zero eigenvalue, called the first Laplacian or signless
Laplacian eigenvectors of . By means of the incidence matrix of , the
number of first Laplacian or signless Laplaican (H- or N-)eigenvectors can be
get explicitly by solving the Smith normal form of the incidence matrix over
or . Consequently, we prove that the number of
first Laplacian (H-)eigenvectors is equal to the number of first signless
Laplacian (H-)eigenvectors when zero is an (H-)eigenvalue of the signless
Laplacian tensor. We establish a connection between first Laplacian (signless
Laplacian) H-eigenvectors and the even (odd) bipartitions of
Adjacency Spectra of Random and Uniform Hypergraphs
We present progress on the problem of asymptotically describing the adjacency
eigenvalues of random and complete uniform hypergraphs. There is a natural
conjecture arising from analogy with random matrix theory that connects these
spectra to that of the all-ones hypermatrix. Several of the ingredients along a
possible path to this conjecture are established, and may be of independent
interest in spectral hypergraph/hypermatrix theory. In particular, we provide a
bound on the spectral radius of the symmetric Bernoulli hyperensemble, and show
that the spectrum of the complete -uniform hypergraph for is
close to that of an appropriately scaled all-ones hypermatrix.Comment: 22 pages, no figure
The -spectrum of a generalized power hypergraph
The generalized power of a simple graph , denoted by , is
obtained from by blowing up each vertex into an -set and each edge into
a -set, where . When ,
is always odd-bipartite. It is known that is
non-odd-bipartite if and only if is non-bipartite, and
has the same adjacency (respectively, signless Laplacian) spectral radius as
. In this paper, we prove that, regardless of multiplicities, the
-spectrum of \A(G^{k,\frac{k}{2}}) (respectively, \Q(G^{k,\frac{k}{2}}))
consists of all eigenvalues of the adjacency matrices (respectively, the
signless Laplacian matrices) of the connected induced subgraphs (respectively,
modified induced subgraphs) of . As a corollary, has the
same least adjacency (respectively, least signless Laplacian) -eigenvalue as
. We also discuss the limit points of the least adjacency -eigenvalues of
hypergraphs, and construct a sequence of non-odd-bipartite hypergraphs whose
least adjacency -eigenvalues converge to .Comment: arXiv admin note: text overlap with arXiv:1408.330
The largest -eigenvalue and spectral radius of Laplacian tensor of non-odd-bipartite generalized power hypergraphs
Let be a simple graph or hypergraph, and let be the
adjacency, Laplacian and signless Laplacian tensors of respectively. The
largest -eigenvalues (resp., the spectral radii) of are denoted
respectively by (resp., ). For a connected non-bipartite simple graph ,
. But this does not hold for
non-odd-bipartite hypergraphs. We will investigate this problem by considering
a class of generalized power hypergraphs , which are
constructed from simple connected graphs by blowing up each vertex of
into a -set and preserving the adjacency of vertices.
Suppose that is non-bipartite, or equivalently is
non-odd-bipartite. We get the following spectral properties: (1)
if and only if is a
multiple of ; in this case
. (2) If
, then for sufficiently large ,
. Motivated by
the study of hypergraphs , for a connected non-odd-bipartite
hypergraph , we give a characterization of and having the same
spectra or the spectrum of being symmetric with respect to the origin,
that is, and , or and are similar via a complex
(necessarily non-real) diagonal matrix with modular- diagonal entries. So we
give an answer to a question raised by Shao et al., that is, for a
non-odd-bipartite hypergraph , that and have the same spectra
can not imply they have the same -spectra
Some Spectral Properties and Characterizations of Connected Odd-bipartite Uniform Hypergraphs
A -uniform hypergraph is called odd-bipartite ([5]), if is
even and there exists some proper subset of such that each edge of
contains odd number of vertices in . Odd-bipartite hypergraphs are
generalizations of the ordinary bipartite graphs. We study the spectral
properties of the connected odd-bipartite hypergraphs. We prove that the
Laplacian H-spectrum and signless Laplacian H-spectrum of a connected
-uniform hypergraph are equal if and only if is even and is
odd-bipartite. We further give several spectral characterizations of the
connected odd-bipartite hypergraphs. We also give a characterization for a
connected -uniform hypergraph whose Laplacian spectral radius and signless
Laplacian spectral radius are equal, thus provide an answer to a question
raised in [9]. By showing that the Cartesian product of two
odd-bipartite -uniform hypergraphs is still odd-bipartite, we determine that
the Laplacian spectral radius of is the sum of the Laplacian spectral
radii of and , when and are both connected odd-bipartite.Comment: 16 page
On the principal eigenvectors of uniform hypergraphs
Let be the adjacency tensor of -uniform hypergraph .
If is connected, the unique positive eigenvector
with corresponding to
spectral radius is called the principal eigenvector of . The
maximum and minimum entries of are denoted by and ,
respectively. In this paper, we investigate the bounds of and
in the principal eigenvector of . Meanwhile, we also obtain some
bounds of the ratio for , as well as the principal
ratio of . As an application of these results
we finally give an estimate of the gap of spectral radii between and its
proper sub-hypergraph .Comment: In this version, we corrected a reference for the fact Page 6 Line 1,
which shoud be [15], not [5] as befor
Circulant Tensors with Applications to Spectral Hypergraph Theory and Stochastic Process
Circulant tensors naturally arise from stochastic process and spectral
hypergraph theory. The joint moments of stochastic processes are symmetric
circulant tensors. The adjacency, Laplacian and signless Laplacian tensors of
circulant hypergraphs are also symmetric circulant tensors. The adjacency,
Laplacian and signless Laplacian tensors of directed circulant hypergraphs are
circulant tensors, but they are not symmetric in general. In this paper, we
study spectral properties of circulant tensors and their applications in
spectral hypergraph theory and stochastic process. We show that in certain
cases, the largest H-eigenvalue of a circulant tensor can be explicitly
identified. In particular, the largest H-eigenvalue of a nonnegative circulant
tensor can be explicitly identified. This confirms the results in circulant
hypergraphs and directed circulant hypergraphs. We prove that an even order
circulant B tensor is always positive semi-definite. This shows that the
Laplacian tensor and the signless Laplacian tensor of a directed circulant
even-uniform hypergraph are positive semi-definite. If a stochastic process is
th order stationary, where is even, then its th order moment, which
is a circulant tensor, must be positive semi-definite. In this paper, we give
various conditions for a circulant tensor to be positive semi-definite
Eigenvariety of Nonnegative Symmetric Weakly Irreducible Tensors Associated with Spectral Radius and Its Application to Hypergraphs
For a nonnegative symmetric weakly irreducible tensor, its spectral radius is
an eigenvalue corresponding to a unique positive eigenvector up to a scalar
called the Perron vector. But including the Perron vector, there may have more
than one eigenvector corresponding to the spectral radius. The projective
eigenvariety associated with the spectral radius is the set of the eigenvectors
corresponding to the spectral radius considered in the complex projective
space. In this paper we proved that such projective eigenvariety admits a
module structure, which is determined by the support of the tensor and can be
characterized explicitly by solving the Smith normal form of the incidence
matrix of the tensor. We introduced two parameters: the stabilizing index and
the stabilizing dimension of the tensor, where the former is exactly the
cardinality of the projective eigenvariety and the latter is the composition
length of the projective eigenvariety as a module. We give some upper bounds
for the two parameters, and characterize the case that there is only one
eigenvector of the tensor corresponding to the spectral radius, i.e. the Perron
vector. By applying the above results to the adjacency tensor of a connected
uniform hypergraph, we give some upper bounds for the two parameters in terms
of the structural parameters of the hypergraph such as path cover number,
matching number and the maximum length of paths
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