Assume that is a commutative
Noetherian ring and is an ideal
of . Then a prime ideal is an
associated prime of if there exists an element in such that , where . The
set of associated primes of , denoted by , is the set of all
prime ideals associated to .
Brodmann [3] showed that the
sequence of associated prime ideals is stationary for large . This means that there exists a
positive integer such that
for all . The minimal such
is called the index
of stability of and
is called
the stable set of associated prime ideals of
, which is denoted by
Several questions arise in the context of Brodmann’s result. An ideal
is said to be
normally torsion-free if, for all , we have , see [24, Definition 4.3.28]. In particular, if is a square-free monomial ideal in a
polynomial ring over a field , then
is normally torsion-free if, for
all , we have .
Generally, finding classes of normally torsion-free ideals have been
a theme of many papers, nevertheless, some classes of such ideals
emanate from graph theory. Particularly, it is well-known that a finite
simple undirected graph is bipartite if and only if its edge ideal is
normally torsion-free, if and only if its cover ideal is normally
torsion-free, see [9,23]
for more information. Furthermore, in [17, Theorem 3.3], the authors stated that the Alexander dual of
the monomial ideal generated by the paths of maximal lengths in a rooted
starlike tree is normally torsion-free. In [13, Theorem 3.2], it has been shown that the Alexander dual of
path ideals generated by all paths of length in rooted trees are normally
torsion-free.
Let be an undirected and
simple graph. More recently, it has been verified in [18, Theorem 2.8] that if is a strongly chordal graph, then both
and are normally torsion-free, where
(respectively, ) stands for the closed neighborhood
ideal of (respectively,
dominating ideal of ). Moreover,
when denotes the simple cycle
graph on vertices, then based on
[18, Theorem 4.3], is normally torsion-free if and
only if , the
definitions of closed neighborhood ideals and dominating ideals and
their properties can be found in [16,19].
In addition, Lemma 5.15 in [20] gives a characterization of all normally
torsion-free -spread principal
Borel ideals. In fact, a monomial with is
called -spread if for all . A monomial ideal in is called a -spread monomial ideal if it
is generated by -spread monomials.
Also, is called a -spread strongly stable
ideal if for all -spread monomials , all and all such that is a -spread monomial, it follows that . Moreover, is called a -spread principal Borel if
there exists a -spread monomial
such that is the smallest -spread strongly stable ideal which
contains ; we denote it as . By [20, Lemma 5.15(i)], if is a -spread monomial, , and , then is normally torsion-free. In this
direction, in [15, Theorem 4.6], the
authors showed that the edge ideal of any -spread -partite hypergraph is normally
torsion-free. More information about -spread monomial ideals and
vector-spread monomial ideals can be found in [7,8].
Furthermore, Herzog et. al., in [12, Corollary 4.6], proved that every transversal polymatroidal
ideal is normally torsion-free. In particular, Olteanu [21] characterized all the
lexsegment ideals which are normally torsion-free non-square-free
monomial ideals.
In the following text, we focus on normally torsion-free square-free
monomial ideals. Indeed, one of the motivations of this work originates
from this fact that normally torsion-free square-free monomial ideals
are closely related to Mengerian hypergraphs. A hypergraph is called
Mengerian if it satisfies a certain min-max equation, which is
known as the Mengerian property in hypergraph theory or has the max-flow
min-cut property in integer programming. In fact, it is well-known that
if is a clutter, i.e.
an antichain w.r.t. the partial order induced by inclusion, and its edge ideal, then
is normally torsion-free if and
only if for all , where denotes the -th symbolic power of , if and only if is Mengerian, if and only if
has the max-flow
min-cut (MFMC for short) property, see [24, Theorem 14.3.6] for more details.
So far, there exist two well-known classifications of Mengerian -uniform hypergraphs and -uniform hypergraphs derived from graphs
as follows:
([23, Theorem 5.9]) Let be a simple undirected graph and its edge ideal. Then is bipartite if and only if is normally torsion-free.
([1, Theorem 3.9]) Let be a connected simple undirected graph
and be an integer, and let
be the cubic path ideal of
. Then, for all if and only if is a path graph or is the cycle when .
In addition, according to [18, Proposition 3.2], the -path
ideals of path graphs are normally torsion-free for all .
The main aim of this work is to provide a classification of all
Mengerian -uniform hypergraphs
derived from graphs as we will give in the following theorem:
Theorem 1.1. If is a connected
graph, then is
Mengerian if and only if , or
, or is a path with double stars, or a star
with an additional edge between two of its leaves.
It is possible to ask whether the techniques used in this paper can
be generalized to the general case? Our computations and observations
show that investigating the cases greater than is too complicated, and we may need to
change our technique as in [23] the authors used the Rees Algebra and classic
methods in commutative algebra for proving the case , and in [1] the authors utilized the symbolic powers
technique for showing the case ,
and the present authors used the TDI (totally dual integral) method for
proving the case ; however, we
left an open question in this direction at the end of this paper, see
Question 4.1.
Throughout this paper, all graphs are simple, finite, connected, and
undirected. Also, any necessary definitions related to graph theory
(respectively, monomial ideals) can be found in [25] (respectively, [11]).
2. Preliminaries
In what follows, we recollect some necessary definitions related to
hypergraph theory, which can be found in [2,24].
A finite hypergraph on a vertex set
is a collection of hyperedges
with
for all . The
incidence matrix of is an matrix such that if , and otherwise. A hypergraph is called
simple if implies . Simple hypergraphs are also known as
clutters. Moreover, if for all , then is called a -uniform hypergraph. A -uniform hypergraph is just a finite simple
graph.
Let and be the polynomial ring in variables over a field . The edge ideal
of is given by
Let be a simple finite
connected undirected graph. The -path hypergraph of , denoted by , is a -uniform hypergraph on the vertex
set such that is an edge if
contains a path of length in
. The edge ideal of is called the
-path ideal
of and is denoted by . When , then is simply the edge
ideal of . If there is no -path in , then we set .
To understand Theorem 2.4, we require to review the
following definitions from combinatorial optimization.
Definition 2.1. ([24, Definition 14.3.4]) A clutter
satisfies the
max-flow min-cut (MFMC) property if both sides of the
LP-duality equation have
integral optimum solutions and
for each nonnegative integral
vector . The system is called
totally dual integral (TDI) if the maximum in Eq. (1)
has an integral optimum solution
for each integral vector with
finite maximum.
For a hypergraph ,
the deletion at a vertex has the effect of
setting in the edge ideal , and the
contraction has the effect of setting
in the edge ideal , see [24, Definition 6.5.2]. We call an ideal a minor of a
square-free monomial ideal if
can be obtained from by a sequence of taking quotients
(=deletion) and localizations (=contraction) at the variables, refer to
[24, Definition 6.5.3].
A vertex is
called an isolated vertex if . It follows from
the definition that if is an
isolated vertex of ,
then is the only edge in
that contains . A vertex cover
of is a set of vertices
that has a non-empty intersection with all of the edges of . The minimum cardinality of a
vertex cover of is
denoted by ,
consult [2, Page 64]. It should be
noted that by the correspondence between minimal primes and minimal
vertex covers, is also the
height of (cf. [24, Proposition 13.1.6]).
We say the generators of a square-free monomial ideal as being
independent or a matching if
the corresponding edges of the associated hypergraph are pairwise
disjoint; that is, the generators have disjoint supports. We denote the
maximum cardinality of an independent set in by , see [2, Page 64]. Furthermore, note that a subset of the
monomial generators of is
independent if and only if it forms a regular sequence. Thus, is equal to the monomial
grade of , denoted by –, where the monomial
grade of an ideal is the maximum
length of a regular sequence of monomials in , see [24, Denition 13.1.5 and Proposition 13.1.6]. By weak linear programming duality we always
have .
A square-free monomial ideal
is said to satisfy the König property if , refer to [24, Denition 13.1.4]. Consequently, satisfies the König property if and
only if –. Moreover, a
square-free monomial ideal has
the packing property if and all of its proper minors satisfy
the König property (cf. [24], Definition 14.3.16).
Definition 2.2. ([24, Denition 14.3.5]) A clutter
is called
Mengerian if for all , where denotes the set of nonnegative
integers. In other words, is Mengerian if all its
multiplications of vertices have the König property.
In 1990 [5], Michele
Conforti and Gérard Cornuéjols made up the
following conjecture, and it is still open.
Conjecture 2.3. (Conforti-Cornuéjols conjecture) A hypergraph has the
packing property if and only if it is Mengerian.
We finally summarize all of the above notions in the following
theorem.
Theorem 2.4 ([24, Theorem 14.3.6]) Let be a clutter and let be its incidence matrix. The following
are equivalent:
is reduced,
where is the edge
ideal of .
is normal and is an integral
polyhedron.
; is a system.
has the max-flow
min-cut (MFMC) property.
for .
is normally torsion-free,
i.e., for .
is Mengerian,
i.e., for all .
3. Main result
Given a connected graph
with , we consider the
-uniform hypergraph such that if and only if contains a path
of length in . Let denote the incidence matrix of . Then is Mengerian if and only
if the system
with is TDI. This in
particular implies that the system is integral. In this case, we call
the hypergraph ideal. It should be noted that if a hypergraph
is not ideal, then it is not Mengerian. Furthermore, every empty clutter
is considered Mengerian.
To show Proposition 3.4 here below, we require to employ the
following definition, exercise, and theorem. Given a monomial ideal
, we denote by the minimal number of monomial
generators of .
Definition 3.1. ([24, Denition 4.3.22]) Let be an ideal of a ring and
the minimal primes of . Given an
integer , the th symbolic power of is defined to be the ideal , where is the primary component
of corresponding to .
Exercise 3.2. ([24, Exercise 6.1.25]) If are primary monomial ideals of with non-comparable radicals and is an ideal such that , then .
Theorem 3.3. ([14, Theorem 4.8]) Let be a square-free monomial ideal. If
for every , then
for every .
Proposition 3.4. Let denote the cycle
graph with vertex set and the following edge set
Let be the
-uniform hypergraph on the vertex
set . Then is Mengerian.
Proof. Let be
the edge ideal of , and . For convenience of
notation, we put . It is
routine to check that
Hence, we deduce that .
Using Macaulay2 [10], we obtain
Since is a square-free
monomial ideal, we deduce from [11, Corollary 1.3.6] that , in
particular, . Hence, we have for all
. This means that
(for all ) has no embedded
associated prime ideals. We can derive from Definition 3.1 and Exercise 3.2 that for all . It follows now from
Theorem 3.3 that for any . One can immediately conclude
from Theorem 2.4 that is normally torsion-free, and so is Mengerian, as
required.
To formulate Lemma 3.8, we need the following definitions
and corollary.
Definition 3.5. A tree is called a
path with double stars if it has at most two vertices which are
adjacent to leaves. Note that this includes stars and paths.
Definition 3.6. ([24, Denition 1.5.5]) A matrix
is called totally
unimodular if each
subdeterminant of is or for all .
Corollary 3.7. ([24, Corollary 14.3.14]) If is
totally unimodular, then is reduced, and so the
clutter is Mengerian.
Lemma 3.8. If is a connected graph and
is the incidence matrix of such that is a path with double stars, where the
path has at least two edges, or
is a star plus an edge between two of its leaves, then is totally unimodular, and thus is Mengerian.
Proof. We proceed by induction on the number of vertices. If
, then the hypergraph is
either empty or consists of one hyperedge and the matrix is one all
-row. In both cases, the matrix
is totally unimodular. Let and be a vertex of degree and be a square submatrix of . If does not intersect the column
corresponding to , then by
inductive assumption applied to . If
intersects the column of , then
this column can have at most one .
If it is all zero, then we have . Otherwise, using Laplacian expansion and again inductive
assumption applied to , we again find . This
completes the inductive step, and so the claim has been shown by
induction. The last assertion can be deduced according to Corollary 3.7.
As was pointed out by an anonymous referee, the above proof does not
apply to the case where we have a path consisting of just one edge with
double stars. Thus, we need an extra lemma.
Lemma 3.9. If is a path with double
stars, where the path has exactly one edge, then is totally unimodular, and thus is Mengerian.
Proof. We construct a network from as follows. Subdivide the inner edge,
and direct all edges of the resulting tree such that all paths using
four edges are directed. Call that directed tree . Now add all arcs from all leaves of
the first star to the leaves of the other star, i.e. the corresponding
complete bipartite digraph, resulting in a directed graph . Consider the totally unimodular
network matrix (see [22] Chapter 19, Example 4) we get from the digraph and its tree .
Then is the submatrix of we get by deleting all columns
corresponding to arcs in . As a
submatrix of a totally unimodular matrix, is totally unimodular as well.
Proposition 3.10. If is a connected graph such
that , or , or is a path with double stars, or is a star plus an edge between two of
its leaves, then
is Mengerian.
Proof. The claim clearly is true if . If , by virtue of Proposition 3.4, we can conclude that is Mengerian. In any
other case, is
Mengerian on account of Lemmata 3.8 and 3.9.
In the remaining cases, we will show that the hypergraphs are not
Mengerian because they are not ideal. For this purpose, we present in
each case a fractional vertex of the covering polyhedron. We use the
following well-known fact from linear programming.
Lemma 3.11. (see [22, Theorem 8.4 and (23) in Section 8.5]) Let denote a polyhedron. Then
is a vertex of if and only if there is a subsystem
of such that has full column rank and .
Lemma 3.12. If is a connected graph on vertices, then is Mengerian if and only
if is a path with double stars or
a star plus an edge between two of its leaves.
Proof. Sufficiency follows from Proposition 3.10. Clearly,
in a connected graph on vertices
, every
vertex is in some connected
subgraph on vertices and at least
two vertices are not in every such component. If exactly two vertices
are not in every such component,
must be a path with four edges, or a path with double stars, or a star
plus an edge between two of its leaves. If three vertices, say , are not in every path
with four vertices, then yields the solution , which is a vertex
by Lemma 3.11. This implies that the hypergraph
is not ideal, and thus also not Mengerian. Similarly, in the case of
vertices not in every connected
component, we find the vertex and finally, if
is -connected, then the required vertex is
. Thus, in
any of these cases, the hypergraph is neither ideal nor Mengerian, and
the proof is over.
Proposition 3.13. If is the following graph, then is not Mengerian.
Proof. The numbers indicated at the vertices clearly define
a non-integral vertex. Thus, is neither ideal nor
Mengerian.
In the following result we are using a result from the paper [4] which has been published
hundred years ago (in 1923) and here is the first citation of this
result.
Lemma 3.14. If is a cycle with and , then is not ideal, and thus
not Mengerian.
Proof. By [6, Theorem 4.1],
these hypergraphs are not ideal, and thus not Mengerian either. We will
present fractional vertices for completeness. If is odd, then [4, Theorem V] implies that , where denotes the incidence matrix of . So, is a vertex. If
, then is a vertex since non-negativity constraints
and all hyperedge constraints are satisfied with equality and the matrix
is of full rank. Finally, if and using the same approach as for would yield a system which is not of
full rank. But is a vertex satisfying non-negativity constraints
and hyperedge constraints with
equality. We thus have in total equalities, and the
system is of full rank. This completes the proof.
A remark here what makes the case special is certainly in order.
Lemma 3.15. If is a connected graph with and is neither nor a path with double stars nor a
star plus an edge between two of its leaves, then is not Mengerian.
Proof. If is a tree
which is not a path with double stars, then it has three vertices which
are adjacent to leaves. Hence, the following graph (see Figure 1) is a minor, and thus
is not Mengerian
by Lemma 3.12. If contains a triangle and is not itself a
star plus an edge between two of its leaves, then we find an induced
subgraph on vertices which is not
Mengerian by Lemma 3.12. If contains a cycle of length , again we find an induced subgraph on
vertices which is not Mengerian
by Lemma 3.12.
If contains a cycle of length
and , then is not Mengerian by
Proposition 3.13. If the only cycle in is the cycle , since , we find a vertex adjacent to
only one vertex of , and so
again we have the following graph
which is not Mengerian by Lemma 3.12 as a minor.
Any other cycle is a cycle of length and the hypergraph is not Mengerian by Lemma 3.14. This
finishes our argument.
Figure 1 The graph H
The main result of this paper follows combining Proposition 3.10 with Lemma 3.15.
Theorem 3.16. If is a connected graph, then is Mengerian if and only
if , or , or is a path with double stars, or a star
with an additional edge between two of its leaves.
Corollalry 3.17. If is a connected graph
with , or , or is a path with double stars, or a star
with an additional edge between two of its leaves, then satisfies the
Conforti-Cornuéjols conjecture.
4. Conclusion and outlook
In this paper we considered the 4-uniform hypergraphs , where the hyperedges
are defined by the vertex sets of a graph , that contain a path on edges. We characterized the graphs
where the corresponding hypergraphs are Mengerian. Except for , the corresponding
matrices where all even totally unimodular. Moreover, we found a
dichotomie that in this class every hypergraph is either Mengerian or
the corresponding matrix is non-ideal. In view of Theorem 4.1(i)
in [6], we wonder whether
Question 4.1. Is it true
that for every matrix of the
-uniform hypergraph either is totally
unimodular or non-ideal?
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