Regularity of powers of edge ideals of vertex-weighted oriented unicyclic graphs
Guangjun Zhu∗, Hong Wang, Li Xu and Jiaqi Zhang
Authors address: School of Mathematical Sciences, Soochow
University, Suzhou 215006, P.R. China
[email protected](Corresponding author:Guangjun Zhu),
[email protected](Li Xu), [email protected](Hong Wang), [email protected](Jiaqi Zhang).
Abstract.
In this paper we provide some exact formulas for the regularity of powers
of edge ideals of vertex-weighted oriented cycles and vertex-weighted unicyclic graphs. These formulas are functions of the weight of vertices and the number of edges. We also give some examples to show that these formulas are related to direction selection and
the weight of vertices.
Key words and phrases:
regularity, edge ideal, vertex-weighted oriented cycles, vertex-weighted unicyclic graphs
2010 Mathematics Subject Classification:
Primary: 13F20; Secondary 05C20, 05C22, 05E40.
1. Introduction
A directed graph or digraph D consists of a finite set V(D) of vertices, together
with a collection E(D) of ordered pairs of distinct points called edges or
arrows. If {u,v}∈E(D) is an edge, we write uv for {u,v}, which is denoted to be the directed edge
where the direction is from u to v and u (resp. v) is called the starting point (resp. the ending point).
Given any digraph D, we can associate a graph G on the same vertex set
simply by replacing each arrow by an edge with the same ends. This graph is called the
underlying graph of D, denoted by G(D). Conversely, any graph G can be regarded as
a digraph, by replacing each of its edges by just one of the two oppositely oriented arrows with the same ends.
Such a digraph is called an orientation of G.
An orientation of a simple graph is referred to as an simple oriented graph.
Edge ideals of edge-weighted graphs were introduced and studied by Paulsen
and Sather-Wagstaff [23]. In this work we consider edge ideals of graphs which are
oriented and have weights on the vertices. In what follows by a weighted oriented
graph we shall always mean a vertex-weighted oriented graph.
A vertex-weighted oriented graph is a triplet D=(V(D),E(D),w), where V(D) is the vertex set,
E(D) is the edge set and w is a weight function w:V(D)→N+, where N+={1,2,…}.
Some times for short we denote the vertex set V(D) and edge set E(D)
by V and E respectively.
The weight of xi∈V is w(xi), denoted by wi or wxi.
The edge ideal of a vertex-weighted digraph was first introduced by Gimenez et al [13]. Let D=(V,E,w) be a vertex-weighted digraph with the vertex set V={x1,…,xn}. We consider the polynomial ring S=k[x1,…,xn] in n variables over a field k. The edge ideal of D, denoted by I(D), is the ideal of S given by
[TABLE]
Edge ideals of weighted digraphs arose in the theory of Reed-Muller codes as initial ideals of vanishing ideals
of projective spaces over finite fields [21, 23].
If a vertex xi of D is a source (i.e., has only arrows leaving xi) we shall always
assume wi=1 because in this case the definition of I(D) does not depend on the
weight of xi. If wj=1 for all j, then I(D) is the edge ideal of its underlying graph.
Our motivation to study the regularity of powers of edge ideals springs from a famous result:
for any homogeneous ideal I in a polynomial ring, it is well known that the regularity of It is asymptotically a linear function in t, that is, there exist constants a and b such that for all t≫0, \mboxreg(It)=at+b (see [11]). Generally, the problem of finding the exact linear form at+b and the
smallest value t0 such that \mboxreg(It)=at+b for all t≥t0 has proved to be very difficult. There are few classes of graphs for which a, b and t0 are explicitly computed (see [1, 2, 3, 4, 5, 22]).
Our objective in this paper is to find a, b and t0 in terms of combinatorial
invariants of the vertex-weighted digraph D when D is a vertex-weighted oriented unicyclic graph.
The digraph D=(V(D),E(D),w) is called an oriented unicyclic graph, denoted by D=Cm∪(j=1⋃sTj), if its underlying graph is G=G0∪(j=1⋃sGj), and Cm is an oriented cycle with underlying graph G0 and Tj is an oriented tree with underlying graph Gj, its orientation is as follows: if V(G0)∩V(Gj)={xij}, then xij is the root of Tj, and all edges in Tj are oriented away from xij for 1≤j≤s.
In [28], the first three authors derive some exact formulas for the regularity of edge ideals of vertex-weighted rooted forests and oriented cycles.
In [29], we provide some exact formulas for the regularity of powers of edge ideals of vertex-weighted rooted forests.
To the best of our knowledge, few papers consider the regularity of I(D)t for a vertex-weighted digraph.
In this article, we are interested in algebraic properties corresponding to the regularity of I(D)t for some vertex-weighted oriented graphs. By using the approaches of Betti splitting and polarization, we derive some exact formulas for the regularity of powers of edge ideals of some directed graphs.
The results are as follows:
Theorem 1.1**.**
Let Cn=(V(Cn),E(Cn),w) be a vertex-weighted oriented cycle with w(x)≥2 for any x∈V(Cn), then for any t≥1
[TABLE]
where w=\mboxmax{w(x)∣x∈V(Cn)}.
Theorem 1.2**.**
Let D=(V(D),E(D),w) be a vertex-weighted oriented unicyclic graph with w(x)≥2 for any d(x)=1, then for any t≥1
[TABLE]
where w=\mboxmax{w(x)∣x∈V(D)}.
Our paper is organized as follows. In section 2, we recall some
definitions and basic facts used in the paper.
In section 3, we provide a special order on the set of minimal
monomial generators of powers of edge ideals of vertex-weighted oriented cycles. Using this order, we give exact formulas for the
regularity of powers of edge ideals of vertex-weighted oriented cycles in section 4. Moreover, we give some examples to show regularity of powers of edge ideals of vertex-weighted oriented cycles is related to
direction selection and the assumption that w(x)≥2 for any vertex x cannot be dropped.
In section 5, we give some exact formulas for regularity of powers of edge
ideals of vertex-weighted oriented unicyclic graphs. Moreover, we also give some examples to show regularity of powers of
edge ideals of vertex-weighted oriented unicyclic graphs are related to
direction selection and the assumption that
w(x)≥2 if d(x)=1 cannot be dropped.
For all unexplained terminology and additional information, we refer to [18] (for the theory
of digraphs), [6] (for graph theory), and [9, 16] (for the theory of edge ideals of graphs and
monomial ideals). We greatfully acknowledge the use of computer algebra system CoCoA ([10]) for our experiments.
Throughout this paper, if Cn=(V(Cn),E(Cn),w) be an n-cycle such that w(x)≥2 for any x∈V(Cn),
we set xj=xi if
j≡i mod n (1≤i≤n). The oriented unicyclic graph D=Cm∪(j=1⋃sTj) satisfying if its underlying graph is G=G0∪(j=1⋃sGj), and Cm is an oriented cycle with underlying graph G0 and Tj is an oriented tree with underlying graph Gj, its orientation is as follows: if V(G0)∩V(Gj)={xij}, then xij is the root of Tj, and all edges in Tj are oriented away from xij for 1≤j≤s.
2. Preliminaries
In this section, we gather together needed definitions and basic facts, which will
be used throughout this paper. However, for more details, we refer the reader to [4, 6, 12, 16, 18, 21, 24, 26, 28].
Every concept that is valid for graphs automatically applies to digraphs too.
For example, let D=(V(D),E(D)) be a digraph, the degree of a vertex x in the digraph D, denoted d(x), is simply the degree of x in
G(D). Likewise, a digraph is said to be connected if
its underlying graph is connected. An oriented path or oriented cycle is an orientation of a
path or cycle in which each vertex dominates its successor in the sequence.
An oriented acyclic graph is a simple digraph without oriented cycles.
An oriented tree or polytree is a oriented acyclic graph formed by orienting the edges of undirected acyclic graphs.
A rooted tree is an oriented tree in which all edges are oriented either away from or
towards the root. Unless specifically stated, a rooted tree in this article
is an oriented tree in which all edges are oriented away from the root.
An oriented forest is a disjoint union of oriented trees. A rooted forest is a disjoint union of rooted trees.
For any homogeneous ideal I of the polynomial ring S=k[x1,…,xn], there exists a graded
minimal finite free resolution
[TABLE]
where the maps are exact, p≤n, and S(−j) is an S-module obtained by shifting
the degrees of S by j. The number
βi,j(I), the (i,j)-th graded Betti number of I, is
an invariant of I that equals the number of minimal generators of degree j in the
ith syzygy module of I.
Of particular interest is the following invariant which measures the size of the minimal graded
free resolution of I.
The regularity of I, denoted \mboxreg(I), is defined by
[TABLE]
Let I be a monomial ideal, G(I) denote the unique minimal set
of monomial generators of I. We now derive some formulas for \mboxreg(I) in some special cases by using some
tools developed in [12].
Definition 2.1**.**
Let I be a monomial ideal, and suppose that there exist monomial
ideals J and K such that G(I) is the disjoint union of G(J) and G(K). Then I=J+K
is Betti splitting if
[TABLE]
where βi−1,j(J∩K)=0\mboxifi=0.
In [12], the authors describe some sufficient conditions for an
ideal I to have a Betti splitting. We need the following lemma.
Lemma 2.2**.**
([12, Corollary 2.7]).
Suppose that I=J+K where G(J) contains all
the generators of I divisible by some variable xi and G(K) is a nonempty set containing
the remaining generators of I. If J has a linear resolution, then I=J+K is Betti
splitting.
When I is a Betti
splitting ideal, Definition 2.1 implies the following results:
Corollary 2.3**.**
If I=J+K is a Betti splitting ideal, then
[TABLE]
The following lemmas is often used in this article.
Lemma 2.4**.**
([15, Lemma 1.3]) Let S be a polynomial ring over a field and let I be a proper non-zero homogeneous
ideal in S. Then
[TABLE]
Let u∈S be a monomial, we set \mboxsupp(u)={xi:xi∣u}. If G(I)={u1,…,um}, we set \mboxsupp(I)=i=1⋃m\mboxsupp(ui). The following lemma is well known.
Lemma 2.5**.**
([15, Lemma 2.5])
Let S1=k[x1,…,xm] and S2=k[xm+1,…,xn] be two polynomial rings, I⊆S1 and
J⊆S2 be two non-zero homogeneous ideals. Then
[TABLE]
Lemma 2.6**.**
Let I,J=(u) be two monomial ideals such that \mboxsupp(u)∩\mboxsupp(I)=∅. If the degree of monomial u is d. Then
\mboxreg(J)=d,
\mboxreg(JI)=\mboxreg(I)+d.
Definition 2.7**.**
Suppose that u=x1a1⋯xnan is a monomial in S. We define the polarization of u to be
the squarefree monomial
[TABLE]
in the polynomial ring SP=k[xij∣1≤i≤n,1≤j≤ai].
If I⊂S is a monomial ideal with G(I)={u1,…,um}, the polarization
of I, denoted by IP, is defined as:
[TABLE]
which is a squarefree monomial ideal in the polynomial ring SP.
A monomial ideal I and its polarization IP share many homological and
algebraic properties. The following is a very useful property of polarization.
Lemma 2.8**.**
([16, Corollary 1.6.3]) Let I⊂S be a monomial ideal and IP⊂SP its polarization.
Then
βij(I)=βij(IP)* for all i and j,*
\mboxreg(I)=\mboxreg(IP).
The following lemma can be used for computing the
regularity of an ideal.
Lemma 2.9**.**
([15, Lemma 1.1 and Lemma 1.2]) Let 0→A→B→C→0 be a short exact sequence of finitely generated graded S-modules.
Then
\mboxreg(C)≤\mboxmax{\mboxreg(A)−1,\mboxreg(B)},
\mboxreg(B)≤\mboxmax{\mboxreg(A),\mboxreg(C)},
\mboxreg(B)=\mboxreg(A)* if \mboxreg(A)>\mboxreg(C)+1,*
\mboxreg(B)=\mboxreg(C)* if \mboxreg(C)≥\mboxreg(A),*
\mboxreg(C)=\mboxreg(A)−1* if \mboxreg(A)>\mboxreg(B),*
3. Ordering the minimial generators of powers of edge ideals of vertex-weighted oriented cycles
In this section, we provide a special order on the unique minimal set of monomial generators of
powers of edge ideals of vertex-weighted oriented cycles. Using this order, we will give some exact formulas for the
regularity of powers of edge ideals of vertex-weighted oriented cycles in next section.
Throughout this section, let Cn=(V(Cn),E(Cn),w) be an n-cycle such that w(x)≥2 for any x∈V(Cn) and V(Cn)={x1,…,xn}. We define an order L1>⋯>Ln on the set G(I(Cn)) where Li=xi−1xiwi for 1≤i≤n and xj=xi if
j≡i mod n (1≤i≤n).
For any integer t≥1, we define an order on the set G(I(Cn)t) as follows: We say
M>N for M,N∈G(I(Cn)t) if M=L1a1⋯Lnan, N=L1b1⋯Lnbn such that i=1∑nai=i=1∑nbi=t,
we have (a1,…,an)>lex(b1,…,bn). We denoted by L(t) the totally ordered
set of G(I(Cn)t) ordered in the way above and by Lk(t) the k-th element of the set L(t).
According to the order defined above, we can sort the set of generators of the following ideal.
Example 3.1**.**
Let I(C3)=(x3x12,x1x22,x2x32) be the edge ideal of 3-cycle C3. Then L(2)={(x3x12)2,(x3x12)(x1x22),(x3x12)(x2x32),(x1x22)2,(x1x22)(x2x32),(x2x32)2}.
We have the following fundamental fact.
Theorem 3.2**.**
Let t be a positive integer and M∈G(I(Cn)t), then M can be shown as
M=Li1ai1⋯Liℓaiℓ with p=1∑ℓaip=t, aip>0 for 1≤p≤ℓ and 1≤i1<⋯<iℓ≤n. Moreover, the expression of this form is unique.
Proof.
It is clear that M can be shown as
M=Li1ai1⋯Liℓaiℓ with p=1∑ℓaip=t, aip>0 for 1≤p≤ℓ and 1≤i1<⋯<iℓ≤n.
Assume Li1ai1⋯Liℓaiℓ and Lj1bj1⋯Ljmbjm are two expressions of M with p=1∑ℓaip=q=1∑mbiq=t,
where aip,bjq>0 for any 1≤p≤ℓ, 1≤q≤m and 1≤i1<⋯<iℓ≤n, 1≤j1<⋯<jm≤n. We will show that ℓ=m, ip=jp and aip=bjp for 1≤p≤ℓ.
We use induction on t. Case t=1 is clear. Now we assume t≥2.
Claim: {i1,…,iℓ}∩{j1,…,jm}=∅, thus
we assume that i1=j1. It follows that
[TABLE]
Therefore, by induction hypothesis, we obtain that
ℓ=m, ip=jp and aip=bjp for 1≤p≤ℓ, as desired.
In fact, if {i1,…,iℓ}∩{j1,…,jm}=∅. For any 1≤p≤ℓ, Lip is a factor of monomial Li1ai1⋯Liℓaiℓ, thus it is also
a factor of monomial Lj1bj1⋯Ljmbjm. Hence there exists 1≤s≤m such that Ljs=xipxip+1wip+1. By the expression of Li1ai1⋯Liℓaiℓ,
we obtain
[TABLE]
where M′ is a monomial. By comparing the degree of monomials Li1ai1⋯Liℓaiℓ and Lj1bj1⋯Ljmbjm, we get
[TABLE]
This implies p=1∑ℓaip(1−wipwip+1)≥0, a contradiction.
Definition 3.3**.**
Let 1≤k<t be two integers, and M1∈G(I(Cn)k), M2∈G(I(Cn)t).
We denoted by M1∣edgeM2 if there exists M3∈G(I(Cn)t−k) such that M2=M1M3. Otherwise, we denoted by M1∤edgeM2.
The following three results are needed.
Lemma 3.4**.**
Let Li(2),Lj(2)∈L(2) such that Li(2)>Lj(2),
then there exists Lk(2)∈L(2) such that Li(2)>Lk(2) and
(Lk(2):Li(2)) has one of the following two forms:
- (1)
(Lk(2):Li(2))=(Lℓ2:Lℓ1), where Lℓ1>Lℓ2, Lℓ2∣edgeLk(2) and Lℓ1∣edgeLi(2);
2. (2)
(Lk(2):Li(2))=(Ln−2Ln:L1Ln−1), where Ln∣edgeLk(2), Ln−2∣edgeLk(2), Ln−1∣edgeLi(2) and L1∣edgeLi(2).
Furthermore, (Lj(2):Li(2))⊆(Lk(2):Li(2)).
Proof.
Set Lj(2)=Lj1Lj2 with 1≤j1≤j2≤n. If there exists some 1≤a≤2 such that Lja∣edgeLi(2). For convenience, we assume a=1, thus we get (Lj(2):Li(2))=(Lj2(1):Li′(1)) and Li′(1)>Lj2(1),
where Li′(1)=Lj1Li(2).
Choose k=j, ℓ2=j2 and ℓ1=i′, the result holds.
Otherwise, if Lja∤edgeLi(2) for any 1≤a≤2, then j1≥2. In this case,
we consider the following two cases:
(i) If there exists some 1≤r≤2 such that (Lj(2):Li(2))⊆(xjrwjr). Let Li(2)=Li1Li2 with 1≤i1≤i2≤n. Choose b=2 if Li2>Ljr, otherwise b=1, and Lk(2)=LibLi(2)Ljr, thus we get Lib+1≥Ljr, Li(2)>Lk(2) and (Lk(2):Li(2))=(Ljr:Lib). Notice that
[TABLE]
If Ljr=Lib+1, then the result is true. Otherwise, it is enough to show that xjr−1 is not a factor of gcd(Lj(2),Li(2)). Thus we obtain Ljr is a factor of generator gcd(Lj(2),Li(2))Lj(2) of (Lj(2):Li(2)), the assertion follows from the formula above. In fact, if
xjr−1 is a factor of Li(2). By the expression of Lj(2) and the hypothesis that Lja∤edgeLi(2) for any a=1,2, we obtain Ljr−1∣edgeLi(2).
It follows Ljr−1=Lib by the definition of b, contradicting with the hypothesis Lib+1>Ljr.
(ii) If (Lj(2):Li(2))⊈(xjrwjr) for any 1≤r≤2, then xjr is a factor of gcd(Lj(2),Li(2))
from the expression of Lj(2) and the formula of (Lj(2):Li(2)).
This implies
Ljr+1∣edgeLi(2) by the hypotheses that Lja∤edgeLi(2) for any a=1,2.
Thus Li(2) has the form
[TABLE]
It follows j2=n by the expression of Lj(2) and Li(2)>Lj(2).
Claim: j1=n−1,n. In fact, if j1=n−1, then Ln∣edgeLi(2) and Ln∣edgeLj(2), contradicting with the hypothesis Lja∤edgeLi(2) for any a=1,2.
If j1=n, then (Lj(2):Li(2))⊆(xnwn), contradicting with (Lj(2):Li(2))⊈(xjrwjr) for any 1≤r≤2.
Hence j1≤n−2, which implies n≥4 because of j1≥2. We consider the following two cases:
(i) If 2≤j1<n−2, then n≥5 and j1+1<n−1. Choose Lk(2)=Lj1+1Ln, we obtain
(Lk(2):Li(2))=(Ln:L1)=(xn−1xnwn−1), Li(2)>Lk(2) and (Lj(2):Li(2))⊆(xn−1xnwn−1), which implies (Lj(2):Li(2))⊆(Lk(2):Li(2)).
(ii) If j1=n−2, then we choose k=j. Thus Li(2)>Lk(2) and (Lj(2):Li(2))=(Lk(2):Li(2))=(Ln−2Ln:Ln−1L1).
The next two theorems are the most important technical results of this section. They play vital roles in calculating the regularity of powers of edge ideals of vertex-weighted oriented cycles in the next section.
Theorem 3.5**.**
Let t be a positive integer, ℓ=\mboxmin{t,⌊2n⌋}−1, where ⌊2n⌋ denotes the largest integer ≤2n, and let Li(t),Lj(t)∈L(t) with Li(t)>Lj(t),
then there exists some Lk(t)∈L(t) such that Li(t)>Lk(t) and
(Lk(t):Li(t)) has one of the following two forms:
- (1)
(Lk(t):Li(t))=(Lℓ2:Lℓ1), where Lℓ1>Lℓ2, Lℓ2∣edgeLk(t) and Lℓ1∣edgeLi(t);
2. (2)
(Lk(t):Li(t))=(s=0∏qLn−2s:s=0∏qLn+1−2s)* for some q≤ℓ, where Ln−2s∣edgeLk(t), Ln+1−2s∣edgeLi(t) for any 0≤s≤q, and
n+1−2s≡j mod n for some 0<j≤n.*
Furthermore, (Lj(t):Li(t))⊆(Lk(t):Li(t)).
Proof.
We proceed by induction on t. Case t=1 holds if we choose k=ℓ2=j, ℓ1=i. Case t=2 holds from Lemma
3.4. Now suppose that t≥3.
Set Lj(t)=Lj1⋯Ljt with 1≤j1≤⋯≤jt≤n. Similar to Lemma 3.4, we consider the following two cases:
(I) If there exists some 1≤a≤t such that Lja∣edgeLi(t), then
[TABLE]
where Lj′(t−1)=LjaLj(t) and Li′(t−1)=LjaLi(t).
By induction hypothesis, there exists some k′ such that Li′(t−1)>Lk′(t−1) and
(Lk′(t−1):Li′(t−1)) is one of the following two forms:
(i) (Lk′(t−1):Li′(t−1))=(Lℓ2:Lℓ1) with Lℓ1>Lℓ2, Lℓ2∣edgeLk′(t−1) and Lℓ1∣edgeLi′(t−1).
(ii) (Lk′(t−1):Li′(t−1))=(s=0∏q′Ln−2s:s=0∏q′Ln+1−2s) for some q′≤ℓ′,
where ℓ′=\mboxmin{t−1,⌊2n⌋}−1, Ln−2s∣edgeLk′(t−1), Ln+1−2s∣edgeLi′(t−1) for any 0≤s≤q′ and n+1−2s≡j mod n for some 0<j≤n.
We choose Lk(t)=LjaLk′(t−1), then Li(t)>Lk(t) and (Lk(t):Li(t))=(Lk′(t−1):Li′(t−1)), as desired.
(II) If Lja∤edgeLi(t) for any 1≤a≤t, then j1≥2 because of Li(t)>Lj(t).
We consider the following two cases:
(i) If there exists some 1≤r≤t such that (Lj(t):Li(t))⊆(xjrwjr). Set Li(t)=Li1⋯Lit with 1≤i1≤⋯≤it≤n.
We choose Lib=\mboxmin{Lib∣Lib>Ljr \mboxand Lib∣edgeLi(t)}
and Lk(t)=LibLi(t)Ljr, thus Li(t)>Lk(t) and (Lk(t):Li(t))=(Ljr:Lib).
Similar arguments as Lemma 3.4,
we have
(Lj(t):Li(t))⊆(Ljr:Lib).
Hence the conclusion holds.
(ii) If (Lj(t):Li(t))⊈(xjrwjr) for any 1≤r≤t, then n≥4 because of Lja∤edgeLi(t) for any 1≤a≤t, which implies ℓ≥1. Since (Lj(t):Li(t))=(gcd(Lj(t),Li(t))Lj(t)), we have xjr is a factor of Li(t).
This implies
Ljr+1∣edgeLi(t) for 1≤r≤t by the hypothesis that Lja∤edgeLi(t) for any 1≤a≤t.
Thus Li(t) has the form
[TABLE]
This implies Ljt+1=L1 by the expression of Lj(t) and Li(t)>Lj(t).
It follows that Ljt=Ln, i.e., jt=n.
Choose q=\mboxmax{q∣Ljt−q=Ln−2q,Ln−2q∣edgeLj(t) \mboxforany 0≤q≤ℓ}, thus Ln−2s∣edgeLj(t) and Ln+1−2s∣edgeLi(t) for any 0≤s≤q. Next, we consider the following two cases:
(i) If q=t−1, then ℓ=t−1. In this case, Lj(t)=s=0∏t−1Ln−2s and Li(t)=s=0∏t−1Ln−2s+1. Choose
k=j, as desired.
(ii) If q≤t−2, then n≥2ℓ+2≥2q+2 by the definition of q and ℓ, Lj(t)=Q1s=0∏qLn−2s and Li(t)=Q2s=0∏qLn−2s+1, where Q1=s=0∏qLn−2sLj(t)=Lj1⋯Ljt−q−1 and Q2=s=0∏qLn+1−2sLi(t)=Lj1+1⋯Ljt−q−1+1. Choose Lk(t)=Q2s=0∏qLn−2s, then Li(t)>Lk(t), (Lk(t):Li(t))=(s=0∏qLn−2s:s=0∏qLn+1−2s) and Ln−2s∣edgeLk(t), Ln+1−2s∣edgeLi(t) for any 0≤s≤q.
Next we prove (Lj(t):Li(t))⊆(Lk(t):Li(t)).
This is equivalent to prove uLi(t)∈(Lk(t)) for any u∈(Lj(t):Li(t)). It is enough to prove s=0∏qLn−2s∣us=0∏qLn−2s+1 by the expression of Li(t) and Lk(t). In fact, let u∈(Lj(t):Li(t)), then uLi(t)∈(Lj(t)). This implies Q1s=0∏qLn−2s∣uQ2s=0∏qLn+1−2s because of Lj(t)=Q1s=0∏qLn−2s and Li(t)=Q2s=0∏qLn−2s+1.
It is sufficient to show supp(s=0∏qLn−2s)∩supp(Q2)=∅, it is equivalent to Ljt−q−1+1∈/{Ln−2q+1,Ln−2q,Ln−2q−1}. In fact, if Ljt−q−1+1=Ln−2q+1, then Ljt−q−1=Ln−2q and (Lj(t):Li(t))⊆(xn−2qwn−2q)
because of Ln−2q2∣edgeLj(t), the expression of Li(t) and wn−2q≥2, contradicting with the hypothesis (Lj(t):Li(t))⊈(xjrwjr) for any 1≤r≤t.
If Ljt−q−1+1=Ln−2q, then Li(t) and Lj(t) have a common edge Ln−2q, a contradiction.
If Ljt−q−1+1=Ln−2q−1, then Ljt−q−1=Ln−2q−2, contradicting with the choice of q.
This proof is complete.
Theorem 3.6**.**
Let t be a positive integer, ℓ=\mboxmin{t,⌊2n⌋}−1, L(t)={L1(t),…,Lr(t)} a totally ordered set of all elements of
G(I(Cn)t) such that L1(t)>⋯>Lr(t). For any 1≤i≤r, we write Li(t) as
Li(t)=Li1ai1⋯Likiaiki with 1≤i1<⋯<iki≤n,
j=1∑kiaij=t and aij>0 for j=1,…,ki. For 1≤i≤r−1, let
Ji=(Li+1(t),…,Lr(t)), Ki=((Li1+1,…,Ln):Li1)+j=1∑pi(Lij+1:Lij), where if iki=n, then
pi=ki−1, otherwise, pi=ki.
- (1)
If i1=1, then (Ji:Li(t))=Ki+Qi
and Qi=j=0∑qi(s=0∏jLn−2s:s=0∏jLn+1−2s), where qi=\mboxmax{q:Ln+1−2q∣edgeLi(t) \mboxforany 0≤q≤ℓ};
2. (2)
If i1≥2, then (Ji:Li(t))=Ki.
Proof.
It is obvious for t=1. Now assume that t≥2.
Set Mj=Li1Li(t)Lj for any i1+1≤j≤n, Nj=LijLi(t)Lij+1 for any 1≤j≤pi, then (Mi1+1,…,Mn,N1,…,Npi)⊆Ji.
Hence
[TABLE]
We distinguish into the following two cases:
(i) If i1≥2, then L1∤edgeLi(t). For any monomial u∈G(Ji:Li(t)), then by Theorem 3.5, there exists Lℓ1, Lℓ2, La(t)∈Ji for some i+1≤a≤r such that u∈(Lℓ2:Lℓ1), Lℓ1>Lℓ2, Lℓ2∣edgeLa(t) and Lℓ1∣edgeLi(t),
which implies ℓ2>ℓ1≥i1. Hence
(Lℓ2:Lℓ1)⊆Ki, as desired.
(ii) If i1=1, then L1∣edgeLi(t). By the definition of qi, we get s=0∏jLn+1−2s∣Li(t) for any 0≤j≤qi.
Set Tj=s=0∏jLn+1−2sLi(t)s=0∏jLn−2s, we obtain Li(t)>Tj.
It follows that Tj∈Ji. Hence
[TABLE]
On the other hand,
(Ji:Li(t))=((Li+1(t),…,Lr(t)):Li(t))=j=i+1∑r(Lj(t):Li(t)).
If there exists some qi∈{1,…,ℓ}, then (Ji:Li(t))⊆Ki+Qi. Otherwise, (Ji:Li(t))⊆Ki.
We complete the proof.
4. Regularity of powers of edge ideals of vertex-weighted oriented cycles
In this section, we give exact formulas for the
regularity of powers of edge ideals of vertex-weighted oriented cycles. Meanwhile, we also give some examples to show the regularity of powers of edge ideals of vertex-weighted oriented cycles is related to direction selection and the assumption that w(x)≥2 for any vertex x cannot be dropped.
A hypergraph H=(X,E) over the vertex set X={x1,…,xn}
consists of X and a collection E of nonempty subsets of X, these subsets are called the
edges of H. Let Y⊆X, the induced subhypergraph of H on Y,
denoted by H[Y], is the hypergraph with the vertex set Y and the edge set {E∈E∣E⊆Y}. A hypergraph H is simple if there is no containment between any pair of its edges.
We need the following two lemmas.
Lemma 4.1**.**
([14, Lemma 3.1]) Let H be a simple hypergraph. Then \mboxreg(H′)≤\mboxreg(H)
for any induced subhypergraph H′ of H.
Lemma 4.2**.**
([20, Proposition 4.1])
Let I⊆S=k[x1,…,xn] be a squarefree monomial ideal satisfying every minimal generator of I contains at least one variable not dividing any
other generator of I. Then
[TABLE]
where X=supp(I).
For convenience, all of notations used in the following two propositions and Theorem 4.5 are as those of Theorem 3.6.
Proposition 4.3**.**
Let L(t), Li(t),Ji, Ki and Qi be as Theorem 3.6. For any 1≤i≤r−1,
- (1)
If i1=1 and qi=0, then \mboxreg((Ji:Li(t)))=j=2∑nwj−n+1;
2. (2)
If i1≥2, then \mboxreg((Ji:Li(t)))=j=i1+1∑nwj−(n−i1)+1.
Proof.
(1) If qi=0, then Ln−1∤edgeLi(t). If i1=1, then ipi<n−1 by the definition of pi. Thus
[TABLE]
Let KiP be the polarization of the ideal Ki, then ∣supp(KiP)∣=j=2∑nwj−1 and ∣G(KiP)∣=n−1.
Notice a fact that xj,wj is only a factor of the unique monomial xj−1,1k=1∏wjxj,k or k=1∏wjxj,k of the set G(KiP) for any 2≤j≤n−1 and xn,wn−1 is also only a factor of the unique monomial xn−1,1j=1∏wn−1xn,j of the set G(KiP).
Hence by Lemma 2.8 (2) and Lemma 4.2, we obtain
[TABLE]
(2) If i1≥2, then by Theorem 3.6 (2), we obtain
[TABLE]
Let KiP be the polarization of the ideal KiP, then ∣supp(KiP)∣=j=i1+1∑nwj and ∣G(KiP)∣=n−i1. Similar arguments as the proof of (1), we get
[TABLE]
Proposition 4.4**.**
Let L(t), Li(t),Ji, Ki and Qi be as Theorem 3.6. For any 1≤i≤r−1. If i1=1 and qi≥1, then
[TABLE]
Proof.
Since i1=1 and qi≥1, we have Lj∣edgeLi(t) for j=1,n−1. It follows that ipi=n−1.
Thus
[TABLE]
where monomial uj=gcd(s=0∏jLn−2s,s=0∏jLn+1−2s)s=0∏jLn−2s for 0≤j≤qi.
Let
[TABLE]
then (Ji:Li(t))=Ki+Qi=Tqi.
For 0≤j≤qi, we will prove
[TABLE]
thus the result follows.
Now we prove formulas (4) by induction on j.
If j=0, then
[TABLE]
where Ki′=(x2w2,x2x3w3,…,xn−1xnwn−1)+j=1∑pi−1(xij+1wij+1).
Let Ki′P be the polarization of the ideal Ki′, then ∣supp(Ki′P)∣=j=2∑nwj−1 and ∣G(Ki′P)∣=n−1.
Since xj,wj is only a factor of the unique monomial xj−1,1k=1∏wjxj,k or k=1∏wjxj,k of the set G(Ki′P) for any 2≤j≤n−1 and xn,wn−1 is also only a factor of the unique monomial xn−1,1j=1∏wn−1xn,j of the set G(Ki′P),
we obtain by Lemma 2.8 (2) and Lemma 4.2,
[TABLE]
Notice that (Ki′:xnwn)=Pi+(xn−1),
where Pi=(x2w2,x2x3w3,…,xn−3xn−2wn−2)+j=1∑pi′(xij+1wij+1),
where if ipi−1=n−2, then pi′=pi−2 otherwise, pi′=pi−1.
Let PiP be the polarization of the ideal Pi, then ∣supp(PiP)∣=j=2∑n−2wj and ∣G(PiP)∣=n−3. Similar arguments as above, we have
[TABLE]
where the inequality holds because of wn−1≥2.
Using formulas (5) and (6), Lemma 2.4 and Lemma 2.9 (1) on the short exact sequence
[TABLE]
we have
[TABLE]
Suppose the formulas (4) is true for any 1≤j≤qi−1. Now assume j=qi.
We first compute (Tqi−1:uqi). Since Ki=((Li1+1,…,Ln):Li1)+j=1∑pi(Lij+1:Lij) and
Tqi−1=Ki+(u0,u1,…,uqi−1), we obtain by simple calculation
[TABLE]
[TABLE]
[TABLE]
where A=j=2∑qi(xn−2j+1wn−2j+1,xn−2j+1xn−2j+2)+(xn−1), B=(x2w2,xn−2qi−2xn−2qi−1wn−2qi−1−1)+j=2∑n−2(qi+1)(xjxj+1wj+1)
and pi′′=\mboxmax{pi′′:1≤pi′′≤pi \mboxandipi′′≤n−2qi−2}.
Next we compute \mboxreg((Tqi−1:uqi)). Let d be the degree of monomial uqi. If qi=⌊2n⌋−1 and n is even, then d=j=1∑2nw2j−2n, otherwise, d=j=0∑qiwn−2j−qi. We distinguish into the following three case:
(i) If n=2m and qi=m−1, then by Lemma 2.5,
[TABLE]
(ii) If n=2m+1 and qi=m−1, then by Lemma 2.5 (1),
[TABLE]
(iii) In other cases, by Lemma 2.5, we have
[TABLE]
where the first inequality holds because of \mboxreg(B+j=1∑pi′′(xij+1wij+1))≤j=2∑n−2qi−1wj−(n−2qi−1)+1 by similar arguments as the calculation of \mboxreg(T0).
Using the above formulas of \mboxreg((Tqi−1:uqi)(−d)), Lemma 2.4, Lemma 2.9 (1) and the induction hypothesis on the short exact sequence
[TABLE]
we have
[TABLE]
The proof is complete.
The following Theorem is main result in this section.
Theorem 4.5**.**
Let Cn=(V(Cn),E(Cn),w) be a vertex-weighted oriented cycle, I(Cn)=(L1,…,Ln) an edge ideal of Cn, where Li=xi−1xiwi and wi≥2 for 1≤i≤n. Then
[TABLE]
where w=\mboxmax{wi∣1≤i≤n}.
Proof.
Case t=1 follows from [28, Theorem 4.1].
Now assume t≥2. Let w=w1 without loss of generality and
L(t)={L1(t),…,Lr(t)} a totally ordered set of all elements of
G(I(Cn)t) such that L1(t)>⋯>Lr(t).
For 1≤i≤r, we write Li(t) as
Li(t)=Li1ai1⋯Likiaiki with 1≤i1<⋯<iki≤n,
j=1∑kiaij=t and aij>0 for j=1,…,ki. Let di be the degree of monomial Li(t), then we get
di≤(wi1+1)+(t−1)(w+1) for 1≤i≤r−1 by the definition of w. We prove this argument in the
following two steps.
Step 1: We first show \mboxreg(I(Cn)t)≤j=1∑nwj−n+1+(t−1)(w+1). Let Ji=(Li+1(t),…,Lr(t))
for 1≤i≤r−1. Since Jr−1=(Lr(t))=(xn−1txntwn), we get
[TABLE]
where the inequality above holds because of wn≤w and wj≥2 for 1≤j≤n−1.
By Proposition 4.3 and Proposition 4.4, we have, for any 1≤i≤r−1,
[TABLE]
[TABLE]
where the last inequality holds because of wj≥2 for 1≤j≤n.
It follows that
[TABLE]
Using the formulas (1) and (2), Lemma 2.4 and Lemma 2.9 (1) on the following short exact sequences
[TABLE]
we obtain
[TABLE]
Step 2: We show \mboxreg(I(Cn)t)=j=1∑nwj−n+1+(t−1)(w+1).
We write I(Cn)t as I(Cn)t=J+K with G(I(Cn)t)=G(J)⨆G(K) and K=(L1(t)). Let
JP, KP and (I(Cn)t)P be the polarization of J, K and (I(Cn)t) respectively, then K=(xntx1tw1) and
[TABLE]
where L=(j=1∏w2x2j,x21j=1∏w3x3j,…,xn−1,1j=t+1∏t−1+wnxn,j).
Then ∣supp(L)∣=j=2∑nwj−1 and ∣G(L)∣=n−1. We distinguish into the following two steps:
Step (i): We first compute \mboxreg(JP∩KP).
Since x2,w2 (resp. xn,t−1+wn) is only a factor of the unique monomial j=1∏w2x2j (resp. xn−1,1j=t+1∏t−1+wnxn,j) of the set G(L) and xj,wj is also only a factor of the unique monomial
xj−1,1k=1∏wjxj,k of the set G(L) for any 3≤j≤n−1 and the variables that appear in KP and L are different, thus by Lemma 2.6 (2) and Lemma 4.2, we obtain
[TABLE]
Step (ii): We compute \mboxreg(JP).
Let H=(V(H),E(H)) and H′=(V(H′),E(H′)) are hypergraphs associated to G((I(Cn)t)P) and G(JP) respectively, then H′ is an induced subhypergraph of H.
In fact, H′ is a subhypergraph of H by the choice of G((I(Cn)t)P) and G(JP).
On the other hand, if E∈E(H) with E⊆V(H′), then monomial xij∈E∏xij associated to E belong to G((I(Cn)t)P).
Since G((I(Cn)t)P)=G(KP)⨆G(JP),
if xij∈E∏xij∈G(KP), then x1,tw1∈E by definition of G(KP),
contradicting with x1,tw1∈/V(H′). Thus xij∈E∏xij∈G(JP).
Hence H′ is an induced subhypergraph of H. By Lemma 2.8 (2), Lemma 4.1 and the formula (3), we get
[TABLE]
Let α=\mboxreg(JP∩KP)−1 and β=\mboxreg(KP)=t(w+1), then
[TABLE]
where the inequality holds because of wj≥2 for 2≤j≤n.
Since the variable x1,tw1 in supp(KP) can not divided generators of JP and KP has a linear resolution. By Lemma 2.2, it follows that
(I(Cn)t)P=JP+KP is Betti splitting. By Corollary 2.3, formulas (4), (5) and (6), we obtain
[TABLE]
This proof is completed.
As a consequence of Theorem 4.5, we have
Corollary 4.6**.**
Let Cn=(V(Cn),E(Cn),w) be a vertex-weighted oriented cycle as in Theorem 4.5. Then
[TABLE]
where w=\mboxmax{w(x)∣x∈V(Cn)}.
The following example shows the assumption that w(x)≥2 for any x∈V(Cn) in Theorem 4.5 cannot be dropped.
Example 4.7**.**
Let I(C5)=(x5x1,x1x23,x2x33,x3x4,x4x53) be an edge ideal of the vertex-weighted oriented cycle C5=(V,E,w), its weight function is w2=w3=w5=3, w1=w4=1. Thus w=3. By using CoCoA, we obtain \mboxreg(I(C5)2)=10. But we have \mboxreg(I(C5)2)=i=1∑5wi−∣E(C5)∣+1+w+1=11 by Theorem 4.5.
The following example shows that the
regularity of powers of edge ideals of vertex-weighted oriented cycles as Theorem 4.5 is related to direction selection.
Example 4.8**.**
Let I(C5)=(x1x53,x1x23,x2x33,x3x43,x4x53) be an edge ideal of the vertex-weighted oriented cycle C5=(V,E,w) with w2=w3=w4=w5=3, w1=1. Thus w=3. By using CoCoA, we obtain \mboxreg(I(C5)2)=14. But we have \mboxreg(I(C5)2)=i=1∑5wi−∣E(C5)∣+1+w+1=13 by Theorem 4.5.
5. Regularity of powers of edge ideals of vertex-weighted unicyclic graphs
In this section, we consider a vertex-weighted oriented
unicyclic graph D=(V(D),E(D),w) satisfying its underlying graph G is the union of a circle and some forests. We will provide the exact formulas for the regularity of powers of its edge ideal. We also give some examples to show the regularity of powers of edge ideals of vertex-weighted oriented unicyclic graphs is related to direction selection and the assumption that
w(x)≥2 if d(x)=1 cannot be dropped.
Definition 5.1**.**
Let Gi=(Vi,Ei) be some simple graphs for 1≤i≤s, their union is a graph G=(V,E), denoted by i=1⋃sGi, satisfying its vertex set is V=i=1⋃sVi and its edge set is E=i=1⋃sEi.
Definition 5.2**.**
Let G=(V(G),E(G)) be a unicyclic graph with n vertices. We write G as G=G0∪(j=1⋃sGj), where G0 is an m-cycle and
Gj is a tree for 1≤j≤s. The digraph D=(V(D),E(D),w) is called an oriented unicyclic graph, denoted by D=Cm∪(j=1⋃sTj), if its underlying graph is G, and Cm is an oriented cycle with underlying graph G0 and Tj is an oriented tree with underlying graph Gj, its orientation is as follows: if V(G0)∩V(Gj)={xij}, then xij is the root of Tj, and all edges in Tj are oriented away from xij for 1≤j≤s.
Throughout this section, let D=(V(D),E(D),w) be a vertex-weighted oriented unicyclic graph with vertex set
V(D)={x1,…,xn}, where Cm is the unique oriented cycle in D, its vertex set
V(Cm)={x1,…,xm}, its edge set E(Cm)={x1x2w2,…,xmx1w1}.
The orientation of D defined as above and the
weight w(xi)≥2 of xi if d(xi)=1 for 1≤i≤n.
Let D=(V(D),E(D),w) be a vertex-weighted oriented graph. For T⊂V(D), we define
the induced vertex-weighted subgraph H=(V(H),E(H),w) of D to be a vertex-weighted oriented graph
with V(H)=T, for any u,v∈V(H), uv∈E(H) if and only if uv∈E(D) and its orientation in H is the same as in D. For any u∈V(H) and u is not a source in H, its weight in H equals to the weight of u in D, otherwise, its weight in H equals to 1.
For P⊂V(D), we denote
D∖P the induced subgraph of D obtained by removing the vertices in P and the
edges incident to these vertices. If P={x} consists of a element, then we write D∖x for D∖{x}.
If x∈V(D), then we denote by ND+(x)={y:(x,y)∈E(D)}, ND−(x)={y:(y,x)∈E(D)} and ND(x)=ND+(x)∪ND−(x).
We need the following two lemmas, see for instance [29, Lemma 3.4, Lemma 3.5, Lemma 3.6 and Theorem 4.2].
Lemma 5.3**.**
Let t≥2 be a positive integer and D=(V(D),E(D),w) a vertex-weighted oriented graph, let z be a leaf with ND−(z)={y}. Then,
(I(D)t,zwz)=(I(D∖z)t,zwz),
(I(D)t:yzwz)=I(D)t−1,
((I(D)t:zwz),y)=((I(D∖y)t:zwz),y)=(I(D∖y)t,y).
Lemma 5.4**.**
Let D=(V(D),E(D),w) be a vertex-weighted rooted forest such that w(x)≥2 if d(x)=1. Let w=\mboxmax{w(x)∣x∈V(D)}, then
[TABLE]
We need the following propositions to prove the main results.
Proposition 5.5**.**
Let t be a positive integer and D=(V(D),E(D),w) a vertex-weighted oriented unicyclic graph,
where D=Cm∪T1 and T1 is an oriented line graph, its orientation is as follows: xi is the root of T1 if V(T1)∩V(Cm)={xi}
for some 1≤i≤m, otherwise, xm+1 is the root of T1.
Then
[TABLE]
where w=\mboxmax{w(x)∣x∈V(D)}.
Proof.
Let V(D)={x1,…,xm,xm+1,…,xn}, V(Cm)={x1,…,xm} and wi=w(xi) for 1≤i≤n.
If V(T1)∩V(Cm)=∅, then the result can be shown by similar arguments as case V(T1)∩V(Cm)={xi} for some 1≤i≤m, so we only prove that the conclusion holds under the condition that
V(T1)∩V(Cm)={xi} for some 1≤i≤m. In this case, we set i=m for convenience.
Thus E(D)={x1x2,x2x3,…,xm−1xm,xmx1,xmxm+1,xm+1xm+2,…,xn−1xn} and xn is the unique leaf of D. It follows that
[TABLE]
We apply induction on t and ∣E(T1)∣. Case t=1 follows from
[30, Theorem 3.4]. Now assume that t≥2.
If ∣E(T1)∣=1, then n=m+1. Consider the following two short exact sequences
[TABLE]
[TABLE]
Notice that D∖xm is a vertex-weighted rooted forest. By Lemma 5.3, we have (I(D)t,xnwn)=(I(Cm)t,xnwn), ((I(D)t:xnwn),xm)=(I(D∖xm)t,xm) and (I(D)t:xmxnwn)=I(D)t−1.
Thus by Lemma 2.5, Lemma 5.4, Theorem 4.5 and induction hypothesis on t, we obtain
[TABLE]
where the fourth equality holds because of n=m+1 and the last inequality holds because of w′≤w, where w′=\mboxmax{wi∣1≤i≤m},
[TABLE]
where the last inequality holds because of wn≤w,
and
[TABLE]
where the forth equality holds because we have weighted one in vertex x1 in the expression x∈V(D∖xm)∑w(x) and
∣E(D)∣=∣E(D∖xm)∣+3, and the last inequality holds because of w1,wm≥2 and w′′≤w, here w′′=\mboxmax{wi∣2≤i≤m−1}.
Using Lemma 2.4 and Lemma 2.9 (2) on the short exact sequences (1), (2) and formulas (3)∼ (5), we have
[TABLE]
Assume ∣E(T)∣≥2, consider the short exact sequences
[TABLE]
and
[TABLE]
Notice that (I(D)t,xnwn)=(I(D∖xn)t,xnwn), ((I(D)t:xnwn),xn−1)=(I(D∖xn−1)t,xn−1) and (I(D)t:xn−1xnwn)=I(D)t−1 by Lemma 5.3,
both D∖xn and D∖xn−1 are vertex-weighted oriented unicyclic graphs. Thus, by Lemma 2.5, Theorem 4.5 and induction hypotheses on t and ∣E(T)∣, we obtain
[TABLE]
where the last inequality holds because of wa≤w, where wa=\mboxmax{w(x)∣x∈V(D∖xn)},
[TABLE]
where the last inequality holds because of wn≤w,
and
[TABLE]
where the last inequality holds because of wn−1≥2, wb≤w, here wb=\mboxmax{w(x),x∈V(D∖xn−1)}.
Using Lemma 2.4 and Lemma 2.9 (2) on the short exact sequences (6) (7) and inequalities (8) ∼ (10), we have
[TABLE]
Now we are ready to present the main result of this section.
Theorem 5.6**.**
Let D=(V(D),E(D),w) be a vertex-weighted oriented unicyclic graph as Proposition 5.5. Then
[TABLE]
where w=\mboxmax{w(x)∣x∈V(D)}.
Proof.
Case t=1 follows from [30, Theorem 3.5]. Now we assume t≥2.
If V(T1)∩V(Cm)=∅, or V(T1)∩V(Cm)={xi} for some 1≤i≤m and ∣E(T1)∣≤3, then the conclusion can be shown by similar arguments as case V(T1)∩V(Cm)={xi} for some 1≤i≤m and ∣E(T1)∣≥4, so we only prove the conclusion holds under the condition that
V(T1)∩V(Cm)={xi} for some 1≤i≤m and ∣E(T1)∣≥4.
In this case, we set i=m for convenience.
Thus E(D)={x1x2,x2x3,…,xm−1xm,xmx1,xmxm+1,xm+1xm+2,…,xn−1xn}. It follows that
[TABLE]
Let L be an ideal satisfying
[TABLE]
where M=((x1x2w2)t,…,(xm−1xmwm)t,(xmx1w1)t,(xmxm+1wm+1)t,…,(xn−1xnwn)t). Let J0 be the polarization of I(D)t, then
[TABLE]
with G(J0)=G(MP)∪G(LP) and G(MP)∩G(LP)=∅.
For 1≤i≤n−2, we set Ki=((j=1∏txi,j)(j=1∏twi+1xi+1,j)),
[TABLE]
where \Widehat(j=1∏txi,j)(j=1∏twi+1xi+1,j) denotes the element
(j=1∏txi,j)(j=1∏twi+1xi+1,j) being
omitted from Ji.
Remind: when i=m, we set Km=((j=1∏txm,j)(j=1∏twm+1xm+1,j)),
[TABLE]
Let Kn−1=((j=1∏txn−1,j)(j=1∏twnxn,j)), Jn−1=((j=1∏txm,j)(j=1∏tw1x1j))+LP,
Kn=((j=1∏txm,j)(j=1∏tw1x1j)), Jn=LP.
Then for 1≤i≤n, we have
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Thus for 1≤i≤n, ∣supp(Li)∣=i=1∑nw(x)−wi+1−1 and ∣G(Li)∣=n−1.
By similar arguments as Proposition 4.3, we obtain
[TABLE]
where wn+1=w1. Notice that the variables appear in Ki and Li are different, by Lemma 2.6 (2), we have
[TABLE]
Let H=(V(H),E(H)) and H′=(V(H′),E(H′)) are hypergraphs associated to G(J) and G(LP) respectively,
then H′ is an induced subhypergraph of H by similar arguments as Theorem 4.5. Thus by Lemma 2.8 (2), Lemma 4.1 and Proposition 5.5, we get
[TABLE]
For any 1≤i≤n, the variable xi+1,twi+1 in Ki is not a factor of any minimal generator of Ji and Ki has a linear resolution.
We have
Ji=Ji+1+Ki+1 is Betti splitting by Lemma 2.2. Hence by Corollary 2.3, we obtain
[TABLE]
Let α=\mboxreg(Ki), β=x∈V(D)∑w(x)−∣E(D)∣+1+(t−1)(w+1), then
[TABLE]
By Lemma 2.8 (2), repeated use of the above the equality (3) and comparing formulas (1), (2), (4), we obtain
[TABLE]
The result follows.
Theorem 5.7**.**
Let D=(V(D),E(D),w) be a vertex-weighted oriented unicyclic graph,
where D=Cm∪T and T is an oriented forest. Let w(x)≥2 for any d(x)=1.
Then
[TABLE]
where w=\mboxmax{w(x)∣x∈V(D)}.
Proof.
We apply induction on t and ∣E(T)∣. The case t=1 follows from [30, Theorem 3.5]. Now assume that t≥2.
By Theorem 5.6, we just need to prove the results hold under the condition that
there are at least two leaves in D.
Let x,z be leaves of D with wz≤wx and ND−(z)={y}.
We distinguish into two cases:
(1) If there exists a connected component T1 of T such that E(T1)={yz} and y∈/V(Cm).
Then
[TABLE]
Thus there exists a surjection ϕ: I(D∖z)t⊕I(D)t−1(−wz−1)⟶⋅(1,yzwz)I(D)t
and the kernel of ϕ is (yzwz)I(D∖z)t since yzwz is a non-zero divisor of S/I(D∖z).
Therefore, we have the following short exact sequence
[TABLE]
By induction hypotheses on t and ∣E(T)∣, we obtain
[TABLE]
[TABLE]
Since wz≤wx, we get
[TABLE]
Thus the result follows from Lemma 2.9 (5).
(2) If there is no connected component containing z in T such as (1), then d(y)≥2. Consider the following short exact sequences
[TABLE]
[TABLE]
Note that D∖z is a vertex-weighted oriented unicyclic graph, D∖y is an oriented unicyclic graph or a rooted forest, and wz≤wx,
thus, Lemma 2.5, Lemma 5.4 or Theorem 4.5 and induction hypotheses on t and ∣E(T)∣, we obtain
[TABLE]
[TABLE]
[TABLE]
where w′′=\mboxmax{w(x)∣x∈V(D∖y)}.
Notice that ND−(y)=∅ or ND−(y)={y1}. For case ND−(y)=∅, it can be shown by similar arguments as case ND−(y)={y1}. So we only prove the conclusion holds under the condition that ND−(y)={y1}.
In this case, wy≥2 and we set ∣E(D)∣=∣E(D∖y)∣+ℓ, then ∣ND+(y)∖{z}∣=ℓ−2.
Let α=\mboxreg((I(D)t,zwz)), β=\mboxreg(((I(D)t:zwz),y)(−wz), then
[TABLE]
where the first inequality holds because of w′′≤w and the second inequality holds because of ∣ND+(y)∖{z}∣=ℓ−2.
By formulas (3), (4) and (5), we get
[TABLE]
Using Lemma 2.9 (2), (4) on
the short exact sequences (1), (2) and the equality (3), we obtain
[TABLE]
The proof is completed.
As a consequence of Theorem 5.7, we have
Corollary 5.8**.**
Let D=(V(D),E(D),w) be a vertex-weighted oriented unicyclic graph as Theorem
5.7. Then
[TABLE]
where w=\mboxmax{w(x)∣x∈V(D)}.
The following example shows the assumption in Theorem 5.7
that D is a vertex-weighted oriented unicyclic graph such that w(x)≥2 for any d(x)=1 cannot be dropped.
Example 5.9**.**
Let I(D)=(x1x22,x2x32,x3x42,x4x12,x4x5,x5x6,x6x72) be the edge ideal of an oriented unicyclic graph, its weight function is w1=w2=w3=w4=w7=2 and w5=w6=1. Thus w=2. By using CoCoA, we obtain \mboxreg(I(D)2)=10. But we have \mboxreg(I(D)2)=(i=1∑7wi−∣E(D)∣+1)+(w+1)=9 by Theorem 5.7.
The following example shows the regularity of powers of
edge ideals of vertex-weighted oriented unicyclic graphs is related to
direction selection in Theorem 5.7.
Example 5.10**.**
Let I(D)=(x1x22,x2x32,x3x42,x4x12,x4x52,x6x52,x6x72) be the edge ideal of an oriented unicyclic graph, its weight function is w1=w2=w3=w4=w5=w7=2 and w6=1. Thus w=2. By using CoCoA, we obtain \mboxreg(I(D)2)=11. But we have \mboxreg(I(D)2)=(i=1∑7wi−∣E(D)∣+1)+(w+1)=10 by Theorem 5.7.
Acknowledgments
This research is supported by the National Natural Science Foundation of China (No.11271275) and by foundation of the Priority Academic Program Development of Jiangsu Higher Education Institutions.