This paper studies the algebraic invariants of symbolic powers of edge ideals for specific graph classes, providing explicit descriptions, formulas for Waldschmidt constants, and regularity comparisons.
Contribution
It offers explicit descriptions of symbolic powers for certain graphs and computes key invariants like Waldschmidt constants and resurgence, revealing regularity coincidences.
Findings
01
Explicit description of symbolic powers for clique sums of odd cycles.
02
Calculation of Waldschmidt constants for specific graph classes.
03
Proof that Castelnuovo-Mumford regularity of symbolic and ordinary powers coincide for complete graphs.
Abstract
Let G be a graph and I=I(G) be its edge ideal. When G is the clique sum of two different length odd cycles joined at single vertex then we give an explicit description of the symbolic powers of I and compute the Waldschmidt constant. When G is complete graph then we describe the generators of the symbolic powers of I and compute the Waldschmidt constant and the resurgence of I. Moreover for complete graph we prove that the Castelnuvo-Mumford regularity of the symbolic powers and ordinary powers of the edge ideal coincide.
\displaystyle=\left\{\begin{array}[]{ll}s+1+\Bigl{\lfloor}\dfrac{s}{n-1}\Bigr{\rfloor}&\text{ if $p\neq 0$}\\
&\\
s+\Bigl{\lfloor}\dfrac{s}{n-1}\Bigr{\rfloor}&\text{ if $p=0$ .}\\
\end{array}\right.
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Full text
Invariants of the symbolic powers of edge ideals
Bidwan Chakraborty*†* and Mousumi Mandal∗
Department of Mathematics, Indian Institute of Technology Kharagpur, 721302, India
Let G be a graph and I=I(G) be its edge ideal. When G is the clique sum of two different length odd cycles joined at single vertex then we give an explicit description of the symbolic powers of I and compute the Waldschmidt constant. When G is complete graph then we describe the generators of the symbolic powers of I and compute the Waldschmidt constant and the resurgence of I. Moreover for complete graph we prove that the Castelnuovo-Mumford regularity of the symbolic powers and ordinary powers of the edge ideal coincide.
† Supported by CSIR grant No.: 09/081(1303)/2017\mbox−EMR−I, India
∗ Supported by SERB(DST) grant No.: \mboxEMR/2016/006997, India
1. Introduction
Let k be a field and R=k[x1,…,xn] be a polynomial ring in n variables and I be a homogeneous ideal of R. Then for n≥1, the n-th symbolic power of I is defined as I(n)=p∈AssI⋂(InRp∩R). Symbolic powers of an ideal is geometrically an important object of study as by a classical result of Zariski and Nagata n-th symbolic power of a given ideal consists of the elements that vanish up to order n on the corresponding variety. In general finding the generators of symbolic power is a difficult job. It is easy to see that In⊆I(n) for all n≥1. The opposite containment, however, does not hold in general. Much effort has been invested in to determine for which values of r the containment I(r)⊆Im holds. To answer this question C. Bocci and B. Harbourne in [2] defined an asymptotic quantity known as resurgence which is defined as ρ(I)=sup{ts∣I(s)⊈It} and showed that it exists for radical ideals. Since computing the exact value of resurgence is difficult, another asymptotic invariant α(I)=s→∞limsα(I(s)), known as Waldschmidt constant was introduced, where α(I) denotes the least generating degree of I. In order to measure the difference between I(m) and Im, Gattleo et al in [4] have introduced an invariant known as the symbolic defect which is defined as sdefect(I,m)=μ(ImI(m)), where μ(I) denotes the minimal number of generators of I. It counts the minimal number of generators which must be added to Im to make I(m).
In this paper we investigate these invariants for edge ideal of graphs. Let G be a simple graph with n vertices x1,…,xn and I=I(G) be the edge ideal generated by {xixj∣xixj\mboxisanedgeofG}. In [14] Simis, Vasconcelos and Villarreal have proved that G is a bipartite graph if and only if Is=I(s), for every s∈N. So it is interesting to study the symbolic powers of edge ideal of non-bipartite graphs. The class of non-bipartite graph which was studied first is odd cycle by Janssen et al in [9]. They have described the generators of the symbolic powers of the edge ideal of an odd cycle by using the concept of minimal vertex cover and calculated the invariants associated to the symbolic powers of the edge ideal of the same graph. In [5] Gu et al have extended these results for the unicyclic graph by explicitly computing the generators of the symbolic powers. Another important invariant in commutative algebra is Castelnuovo-Mumford regularity. Regularity of the edge ideal and their powers has been extensively studied in literature by many researchers while the regularity of the symbolic powers of edge ideals has not been much explored. It has been conjectured by N. C. Minh that for a finite simple graph G
[TABLE]
for s∈N. The conjecture is true for bipartite graph. In [5] Gu et al have proved the conjecture for odd cycles. Recently in [10] Jayanthan and Kumar have proved the conjecture for certain class of unicyclic graph and in [13] Seyed Fakhari has solved the conjecture for unicyclic graph.
The work of this paper is mainly motivated by the papers [9] and [5]. In this paper we study the structure of the symbolic powers of edge ideal of clique sum of two different odd length cycles joined at a single vertex and prove Minh’s conjecture for the class of complete graphs. In section 2, we recall all the definitions and results that will be required for the rest of the paper. Motivated by the concept of vertex weight described in [9] by Janssen, in section 3, we find the generators of the symbolic powers of edge ideal of clique sum of two different odd length cycles joined at a single vertex by explicitly choosing a minimal vertex cover. Using the description of the generating set we compute the Waldschmidt constant. In section 4, we describe the generators of the symbolic powers of edge ideal of complete graph and compute the Waldschmidt constant, the resurgence and establish the symbolic defect partially. We close the paper by showing that for a complete graph G and for all s≥1,
[TABLE]
2. Preliminaries
In this section, we collect the notations and terminologies used in this paper. Throughout the paper, G denotes a finite simple graph over the vertex set V(G) and the edge set E(G).
Definition 2.1**.**
Let G be a graph.
(1)
A collection of the vertices W⊆V(G) is called a vertex cover if for any edge e∈E(G),W∩e=ϕ. A vertex cover is called minimal if no proper subset of it is also a vertex cover.
2. (2)
The vertex cover number of G, denoted by τ(G), is the smallest size of a minimal vertex cover in G.
3. (3)
The graph G is called decomposable if there is a proper partition of its vertices V(G)=\bigcupdoti=1rVi such that τ(G)=∑i=1rτ(G[Vi]).
In this case (G[V1],…,G[Vr]) is called a decomposition of G. If G is not decomposable then G is said to be indecomposable.
Definition 2.2**.**
Let V′⊆V(G)={x1,x2,…,xn} be a set of vertices. For a monomial xa∈k[x1,…,xn] with exponent vector a=(a1,a2,…,an) define the vertex weight WV′(xa) to be
[TABLE]
Now we recall some results which describe the symbolic powers of the edge ideal in terms of minimal vertex covers of the graph.
Lemma 2.3**.**
[15, Corollary 3.35]**
Let G be a graph on vertices {x1,…,xn},I=I(G)⊆k[x1,…,xn] be the edge ideal of G and V1,…,Vr be the minimal vertex covers of G. Let Pj be the monomial prime ideal generated by the variables in Vj. Then
[TABLE]
and
[TABLE]
In the next lemma, the elements in the symbolic power of edge ideals have been described in terms of minimal vertex cover of the graph.
Lemma 2.4**.**
[1, Lemma 2.6]**
Let I⊆R be a square free monomial ideal with minimal primary decomposition I=P1∩⋯∩PrwithPj=(xj1,…,xjsj) for j=1,…,r. Then x1a1⋯xnan∈I(m)\mboxifandonlyifaj1+⋯+ajsj≥m for j=1,…,r.
Using Lemma 2.4 and the concept of vertex weight Janssen et al in [9] described the elements of symbolic powers of edge ideals as follows
[TABLE]
Further they have divided the elements of the symbolic powers of edge ideals into two sets written as I(t)=(L(t))+(D(t)), where
[TABLE]
and
[TABLE]
Thus for any graph, if we are able to identify the elements in L(t) and D(t) then we will be able to describe I(t).
Definition 2.5**.**
Let G be a graph with n-vertices and let v=(v1,…,vn)∈Nn. For a vertex x∈V(G), let NG(x)={y∈V(G)∣{x,y}∈E(G)} be its neighborhood.
(1)
The duplication of a vertex x∈V(G) in G is the graph obtained from G by adding a new vertex x′ and all edges {x′,y} for y∈NG(x).
2. (2)
The parallelization of G with respect to v, denoted by Gv , is the graph obtained from G by deleting the vertex xi if vi=0, and duplicating vi−1 times the vertex xi if vi=0.
A commonly-used method in commutative algebra when investigating (symbolic) powers
of an ideal is to consider its (symbolic) Rees algebra.
Definition 2.6**.**
Let R be a ring and I be an ideal of R. The Rees algebra, denoted by R(I), and the symbolic Rees algebra, denoted by Rs(I), of I are defined as
[TABLE]
If I=I(G) is the edge ideal of a graph then the generators of Rs(I) can be described by indecomposable graphs arising from G. The following characterization for Rs(I) was given in [12].
Theorem 2.7**.**
Let G be a graph over the vertex set V(G)={x1,…,xn}. Let I=I(G) be its edge ideal. Then
[TABLE]
where v=(v1,…,vn) and xvtb=x1v1⋯xnvntb.
Definition 2.8**.**
Let G be a simple graph of n vertices with edge ideal I=I(G). Then the graph G is called an implosive graph if the symbolic Rees algebra Rs(I) is generated by monomials of the form xvtb, where v∈{0,1}n.
Next two theorems gives a class of implosive graphs.
Theorem 2.9**.**
[3, Theorem 2.3]**
If G is a cycle, then G is implosive.
Definition 2.10**.**
Let G1 and G2 be graphs. Suppose that G1∩G2=Kr is the complete graph of order r, where G1=Kr and G2=Kr. Then, G1∪G2 is called the clique-sum of G1 and G2.
Theorem 2.11**.**
[3, Theorem 2.5]**
The clique-sum of implosive graphs is again implosive.
3. Symbolic powers of clique sum of two odd cycles joined at a single vertex
The work of this section is mainly motived by [5, Example 3.5]. Let G be the clique sum of two different odd length cycles joined at single vertex and I=I(G) be the edge ideal of G. In this section we will describe the generators for I(t) by explicitly identifying (L(t)) and (D(t)). In [9, Theorem 4.4] Janssen et al have proved that if G is an odd cycle and I is the edge ideal of G then (L(t))=It for t≥1. In the following example we show that for the clique sum of two different odd length cycles joined at single vertex (L(t))=It.
Example 3.1**.**
Let G be the clique-sum of two cycles C1=(x1,x2,x3,x4,x5) and C2=(x1,y2,y3,y4,y5) joined at a single vertex x1. Consider the monomial m=x4y2y3y4y5x1. Clearly m∈/I3. Also for any vertex cover V, WV(m)≥3, therefore m∈(L(3)). So I3=(L(3)).
In this case we will try to understand the generators of (L(t)). For this we recall the definition of the optimal form introduced in [9].
Definition 3.2**.**
Let m∈k[x1,…,xn] be a monomial and G be a finite simple connected graph on the set of vertices {x1,…,xn}. Let {e1,e2,…,er} denote the set of edges in the graph. We may write m=x1a1x2a2⋯xnane1b1e2b2⋯erbr,
where b(m):=∑bj is as large as possible, when m is written in this way, we will call this an optimal form of m or we will say that m is expressed in optimal form, or simply m is in optimal form. In addition, each xiai with ai>0 in this form will be called an ancillary factor of the optimal form, or just ancillary for short and xi’s are called ancillary vertices.
Note that optimal form of a monomial need not be unique but b(m) is unique.
Lemma 3.3**.**
Let G be a finite simple connected graph on the set of vertices {x1,x2,…,xn}. I=I(G) be the edge ideal. Let m=xieibi⋯ej−1bj−1∈I(G) be a monomial, where bk≥0 for i≤k≤j−1 and ei=xixi+1. Then mxj will not be an optimal form if and only if the number of vertices within xi and xj is even and bi+2h+1≥1, for 0≤h≤2j−i−2 with h∈Z.
Proof.
Since m contains only one ancillary, so m is in optimal form. Here b(m)=bi+bi+1+⋯+bj−1. Assume that mxj is not in optimal form, then b(mxj)>b(m) so there will be no ancillary in mxj, which implies xi will no longer be an ancillary, so xi has to pair up with xi+1 to form an edge. The vertex xi+1 can come from two edges ei or ei+1. If xi+1 comes from ei, then xi will be again an ancillary, so that vertex should come from the edge ei+1, which implies that the edge ei+1 has to be present in m. As xi form an edge with xi+1, then xi+2 has to be pair up with some vertex. By similar argument ei+3 has to be present in m. By repeating this process we get bi+2h+1≥1 for 0≤h≤2j−i−2.
As there are no ancillary in mxj,xj has to be pair up with xj−1. Then there is only one option to get the edge xj−1xj, is that xj−1 has to come from an edge ei+2h+1=xi+2h+1xi+2h+2 for some h, which implies xi+2h+2=xj−1. Thus the number of vertices in [xi,xj] is i+2h+3−i+1=2h+4 which is even and bi+2h+1≥1 for 0≤h≤2j−i−2.
Conversely if mxj=xieibi⋯ej−1bj−1xj with bi+2h+1≥1 for 0≤h≤2j−i−2, then by [9, Lemma 3.4] mxj is not in optimal form.
∎
Definition 3.4**.**
Let G be the clique sum of two cycles joined at a single vertex. Let xi,xj∈V(G) and the vertices between xi and xj is even and let ei denote the edge xixi+1. Then the edges ei+1,ei+3,…,ej−2 are called alternating edges.
In the next lemma we state the key idea of [9, Theorem 4.4], as we will be using this fact in describing the generators of (L(t)).
Lemma 3.5**.**
Let G be an odd cycle and I=I(G) be the edge ideal of G. Let m be any monomial then there exists a minimal vertex cover V such that WV(m)=b(m).
Lemma 3.6**.**
Let G be the clique sum of two odd cycles C1=(x1,…,x2n+1) and C2=(x1,y2,…,y2m+1) joined at a vertex x1 with n≤m and I=I(G) be the edge ideal of G. Let m be a monomial such that m∈/(c1,c2), where c1=x1⋯x2n+1 and c2=x1y2⋯y2m+1. Then there exists a minimal vertex cover V such that WV(m)=b(m).
Proof.
Let the monomial m is of the form
m=xl1al1xl2al2⋯xlkalkyr1ar1yr2ar2⋯yrparpe1b1⋯e2n+1b2n+1f1d1⋯f2m+1d2m+1, where ei=xixi+1 for 1≤i≤2n and e2n+1=x2n+1x1 and fi=yiyi+1 for 2≤i≤2m and f1=x1y2, f2m+1=y2m+1x1.
If x1 is an ancillary vertex of m and m∈/(c1,c2) then by Lemma 3.5 we can choose minimal vertex cover V1 and V2 from the cycles C1 and C2 such that V=V1∪V2 will not contain x1 and WV(m)=b(m).
In the rest of the proof we assume that x1 is not an ancillary of m. Let [xi,xj] denote the set of vertices between xi and xj including xi and xj along clock-wise path and ∣[xi,xj]∣ denote the number of vertices in that set. Depending on neighbourhood ancillary vertices of x1 we describe the process to choose the minimal vertex cover V such that WV(m)=b(m). We have divided the proof into four cases depending on the neighbourhood ancillaries of x1.
Case 1: Suppose there are at least two ancillaries from each cycle. Let xi1 and xj1 are two consecutive ancillaries from the cycle C1 and yi2, yj2 are two consecutive ancillaries from the cycle C2 such that x1∈[xj1,xi1] and x1∈[yj2,yi2], where i1<j1 and i2<j2 .
Let Hq be the induced subgraph of G on VHq={xj1,xj1+1,…,x1,…,xi1,yj2,…,y2m+1,y2,…,yi2}.
And let mq=xj1aj1ej1bj1⋯e1b1⋯ei1−1bi1−1xi1ai1yj2cj2fj2dj2⋯f2m+1d2m+1f1d1⋯fi2−1di2−1yi2ci2.
Let m1C1=xj1aj1ej1bj1⋯e2n+1b2n+1, m2C1=e1b1⋯ei1−1bi1−1xi1ai1,
m1C2=f1d1⋯fi2−1di2−1yi2ci2 and
m2C2=yj2cj2fj2dj2⋯f2m+1d2m+1.
If m1C1x1, m2C1x1, m1C2x1 and m2C2x1 are in optimal form then mx1 is in optimal form, which means x1 is an ancillary vertex of mx1. So we can find a minimal vertex cover V such that WV(mx1)=b(mx1), which implies WV(m)=b(m). Let us assume that m1C1x1 is not in optimal form.
Then by Lemma 3.3, ∣[xj1,x1]∣ is even and bj1+2h+1≥1 for 0≤h≤22n−j1.
Now choose the minimal vertex cover for the part m1C1 as C1V1={xj1+1,xj1+3,…,x1}.
(a) If m1C2x1 is in optimal form then one of the following condition will hold.
(i)
∣[x1,yi2]∣ is odd. Then ∣[xj1,yi2]∣ is even and one of the alternating edge between xj1 and yi2 will be missing (as m1C1m1C2 is in optimal form). Since all the alternating edges in m1C1 are present so the alternating edge will be missing from the part m1C2.
Therefore d2h+1=0 for some h, where 0≤h≤2i2−2. Then choose the minimal vertex cover for the part m1C2 as C2V1={x1,y3,…,y2h+1,y2h+2,y2h+4,…,yi2−1}.
2. (ii)
∣[x1,yi2]∣ is even and one of the alternating edges will be missing. Then choose the minimal vertex cover as C2V1={x1,y3,…,yi2−1} (as i2−1 is odd).
(b) If m1C2x1 is not optimal form then ∣[x1,yi2]∣ is even, so choose the minimal vertex cover as C2V1={x1,y3,…,yi2−1}.
Similarly we do the same thing for m2C2x1. If m2C2x1 is in optimal form and if ∣[yj2,x1]∣ is odd then we can deduce from the previous discussion that dj2+2h+1=0 for some h, where 0≤h≤22m−j2. Then take the minimal vertex cover as C2V2={yj2+1,yj2+3,…,yj2+2h+1,yj2+2h+2,yj2+2h+4,…,x1}.
In other cases ∣[yj2,x1]∣ will be even then choose the minimal vertex cover as
C2V2={yj2+1,yj2+3,…,x1}.
Again we will find the minimal vertex cover for the part m2C1. If ∣[x1,xi1]∣ is odd in clock-wise direction then b2h+1=0 for some h, where 0≤2h≤i1−2. Then take the minimal vertex cover as C1V2={x1,x3,…,x2h+1,x2h+2,x2h+4,…,xi1−1} (as i1−1 is even).
In other cases ∣[x1,xi1]∣ is even, then take the minimal vertex cover as C1V2={x1,x3,…,xi1−1} (as i1−1 is odd).
Our aim is here to find a minimal vertex cover V such that WV(mq)=b(mq). Depending on whether the four monomial part m1C1x1,m2C1x1,m1C2x1,m2C2x1 are in optimal form or not we can choose the minimal vertex cover. Here we will show for one case and the other cases will be similar.
Assume that m1C1x1,m2C2x1, m2C1x1 are not in optimal form and m1C2x1 is in optimal form. Then depending on ∣[x1,yi2]∣ is even or odd there are two possibilities of minimal vertex cover. If ∣[x1,yi2]∣ is odd then choose the minimal vertex cover for mq as V={xj1+1,xj1+3,…,x1,y3,…,y2h+1,y2h+2,y2h+4,yi2−1,yj2+1,yj2+3,…,y2m,x1,x3,…,xi1−1}, where d2h+1=0.
Now b(mq)=bj1+⋯+b2n+1+b1+⋯+bi1−1+dj2+⋯+d2m+1+d1+⋯+di2−1 and WV(mq)=bj1+⋯+b2n+1+b1+d1+d2m+1+d2+⋯+d2h+2d2h+1+d2h+2+…+di2−1+dj2+⋯+d2m+b2+b3+⋯+bi1−1. As d2h+1=0, WV(mq)=b(mq).
If ∣[x1,yi2]∣ is even then choose the minimal vertex cover for mq as V={xj1+1,xj1+3,…,x1,y3,…,yi2−1,yj2+1,yj2+3,…,y2m,x1,x3,…,xi1−1} and note that WV(mq)=b(mq). Similarly we can write the minimal vertex cover for the remaining cases such that WV(mq)=b(mq). Now for the vertices of G that are not in VHq, we can choose a minimal vertex cover V′ by Lemma 3.5 such that WV′∪V(m)=b(m).
Case 2: Suppose that each cycle contains single ancillary. Let the ancillaries are xj1 and yj2 in C1 and C2 respectively and m1C1=xj1aj1ej1bj1⋯e2n+1b2n+1, m2C1=e1b1⋯ei1−1bi1−1xj1ai1,
m1C2=f1d1⋯fi2−1di2−1yj2ci2 and
m2C2=yj2cj2fj2dj2⋯f2m+1d2m+1.
Let us assume that
m1C1x1 is not in optimal form. Then ∣[xj1,x1]∣ is even and all the alternating edges will be present. Then choose the minimal vertex cover for m1C1as C1V1={xj1+1,xj1+3,…,x1}. As m∈/(c1,c2), therefore at least one vertex will be missing from each of the cycle in m. The missing vertex in C1 will be from the part m2C1 and will be of the form x2k or x2k+1. If x2k is missing then take the minimal vertex cover for m2C1 as (here b2k−1=0 and b2k=0) C1V2={x1,x3,…,x2k−1,x2k,x2k+2,…,xj1−1} (as j1−1 is even).
If x2k+1 is missing then take the minimal vertex cover as C1V2={x1,x3,…,x2k+1,x2k+2,x2k+4,…,xj1−1}. Now take
V1=C1V1∪C1V2. Then V1 will be either {xj1+1,xj1+3,…,x1,x3,…,x2k−1,x2k,x2k+2,…,xj1−1}
or {xj1+1,xj1+3,…,x1,x3,…,x2k+1,x2k+2,x2k+4,…,xj1−1}. Now if m1C2x1 is not in optimal form then similarly we can construct a minimal vertex cover V2 containing x1 for C2.
Next assume that m1C2x1 is in optimal form. Then there are two possibilities:
i) ∣[x1,yj2]∣ is odd. In this case we can choose the minimal vertex cover as C2V1={x1,y3,…,y2h+1,y2h+2,y2h+4,…,yj2−1} by the method described in the Case 1. Since ∣[yj2,x1]∣ is even so we can choose the minimal vertex cover for m2C2 as C2V2={yj2+1,yj2+3,…,y2m,x1}.
ii) ∣[x1,yj2]∣ is even and one of the alternating edge is missing. In this case we can choose the minimal vertex cover as C2V1={x1,y3,…,yj2−1}. Since ∣[yj2,x1]∣ is odd so we can choose the minimal vertex cover for m2C2 as C2V2={yj2+1,yj2+3,…,yj2+2h+1,yj2+2h+2,yj2+2h+4,…,x1} as described in Case 1.
In both the cases consider V2=C2V1∪C2V2 and V=V1∪V2.
Then by similar type of calculation observe that WV(m)=b(m).
Case 3: Suppose one cycle contains single ancillary and another cycle contains more than one ancillary, then by Case 1 and Case 2 we can choose the minimal vertex cover V such that WV(m)=b(m).
Case 4: Suppose that all the ancillaries are from one cycle and assume that this cycle is C1. It may contain one ancillary or more than one ancillary. Let us do here for the case more than one ancillary, other cases will be similar. Let us assume that xj1 and xi1 are two consecutive ancillaries from the cycle C1 such that x1∈[xj1,xi1], where i1<j1 and VHq={xj1,xj1+1,…,x1,…,xi1,y2,y3,…,y2m+1}.
By Case 1 choose the minimal vertex cover for the monomial parts m1C1 and m2C1. Let V1 be the minimal vertex cover for these two parts. Now we will choose the minimal vertex cover for the cycle C2. Since m∈/(c1,c2) so at least one vertex will be missing from the cycle C2.
(a) If the vertex x1 is missing from the monomial then we can keep x1 in the minimal vertex cover and take V2={x1,y2,y4,…,y2n} and V=V1∪V2.
(b) If x1 is not missing from the monomial then we need to find V2. Here some yr will be missing from the monomial. Now V1 may or may not contain x1. First we consider the case where V1 contains x1.
If the missing vertex is of the form y2k then take the minimal vertex cover as V2={x1,y3,…,y2k−1,y2k,y2k+2,…,y2m}, or if missing vertex is of the form y2k+1 then take the minimal vertex cover as V2={x1,y3,…,y2k+1,y2k+2,y2k+4,…,y2m}. Now if x1 is not missing as well as x1 is not in V1 then take V2 as {y2,y4,…,y2k,y2k+1,…,y2m}. Then consider V=V1∪V2 and by similar type of calculation observe that WV(mq)=b(mq). Now for the vertices of G that are not in VHq, we can choose a minimal vertex cover V′ by Lemma 3.5 such that WV′∪V(m)=b(m).
∎
Proposition 3.7**.**
Let G be the clique sum of two odd cycles C1=(x1,…,x2n+1) and C2=(x1,y2,…,y2m+1) joined at a vertex x1 with n≤m and I=I(G) be the edge ideal of G. Let c1=x1⋯x2n+1 and c2=x1y2⋯y2m+1. Then (L(t))⊆It+(c1,c2).
Proof.
We prove the proposition by contrapositive. Let m be a monomial such that m∈/It and m∈/(c1,c2). By Lemma 3.6, there exist a minimal vertex cover V such that WV(m)=b(m). As m∈/It, therefore b(m)<t. As b(m)<t, so m∈/L(t). Since L(t) is a generating set of (L(t)), this is sufficient to claim that m∈/(L(t)) because neither m, nor any of its divisors whose vertex weights can only be less than that of m, will be in the generating set.
∎
In order to describe I(t) we need the description of (D(t)). Next lemma describes the elements of (D(t)).
Lemma 3.8**.**
Let G be the clique sum of two odd cycles C1=(x1,…,x2n+1) and C2=(x1,y2,…,y2m+1) joined at a vertex x1 with n≤m. Let I=I(G) be the edge ideal of G. Then for t≥2
[TABLE]
where c1=x1x2⋯x2n+1 and c2=x1y2⋯y2m+1.
Proof.
Consider the set
T={Ii(c1)s(c2)b∣i+(n+1)s+(m+1)b≥t\mboxand2i+(2n+1)s+(2m+1)b≤2t−1}.
From the definition of D(t) it is clear that T⊆D(t).
Let xa be a monomial in D(t). Write xa=(c1)s(c2)bxd such that s and b are as large as possible. Now xd can be written in the form E(xd)A(xd), where E(xd)=ei1bi1⋯eikbikfj1bj1⋯fjkbjk with bi1+⋯+bik+bj1+⋯+bjk=i, and A(xd) is a product of ancillaries of xd.
Then from Lemma 3.6 we can find a minimal vertex cover V such that WV(xd)=WV(E(xd))=i, which implies that WV(xa)=(n+1)s+(m+1)b+i=WV(E(xd)(c1)s(c2)b)≥t. As for any other minimal vertex cover V′ we have WV′(E(xd)(c1)s(c2)b)≥i+(n+1)s+(m+1)b≥t, therefore E(xd)(c1)s(c2)b∈D(t). Hence ⟨T⟩=⟨(D(t))⟩.
∎
Corollary 3.9**.**
(D(n+1))=(c1).**
Proof.
From Lemma 3.8 it follows that we need to find all the possible values of (i,s,b) such that i+(n+1)s+(m+1)b≥n+1 and 2i+(2n+1)s+(2m+1)b≤2n+1. Then it is clear that (0,1,0) is the only possible value of (i,s,b). Therefore D(n+1) will contain only c1.
∎
Corollary 3.10**.**
If C1 and C2 are of same length say 2n+1 then (D(n+1))=(c1,c2).
Proof.
In Lemma 3.8 put m=n, then we need to find all the possible values of (i,s,b) such that i+(n+1)(s+b)≥n+1 and 2i+(2n+1)(s+b)≤2n+1. Observe that (0,1,0),(0,0,1) are the only possible values of (i,s,b) . Thus D(n+1)={c1,c2}.
∎
All the generators of D(t) described in Lemma 3.8 need not be minimal. In the next lemma we identify the minimal generators of D(t) for n+1≤t≤m+1.
Corollary 3.11**.**
The minimal set of generators of the ideal (D(t)) for n+1≤t≤m+1 is given by the following set
[TABLE]
Proof.
If b≥1 then by Corollary 3.8 there is only one possible generator namely c2 corresponding to (i,s,b)=(0,0,1), which is in fact a minimal generator for (D(t)) and this is only for t=m+1. To find the remaining minimal generators let us assume that b=0. Then it is clear that Iic1s with i+(n+1)s=t are minimal generators.
Let us now assume that Iic1s with i+(n+1)s>t is a minimal generator. But since (i−1)+(n+1)s≥t therefore Ii−1c1s∈(D(t)) which will contradict that Iic1s is a minimal generator of (D(t)). Hence the proof.
∎
Theorem 3.12**.**
*Let G be the clique-sum of two odd cycles C1=(x1,…,x2n+1) and C2=(x1,y2,…,y2m+1) joined at a vertex x1 with n≤m. Let I=I(G) be the edge ideal. Then for any t∈N, α(I(t))
=2t-\Bigl{\lfloor}\dfrac{t}{n+1}\Bigr{\rfloor}.\qquad
Particularly, the Waldschmidt constant of I is given by*
[TABLE]
Proof.
Since the degree of the elements of D(t) is strictly less than the degree of the elements of L(t), so if D(t) is nonempty then minimal generating degree term will come from D(t). Note that α(I(t))=min{2i+(2n+1)s+(2m+1)b∣i+(n+1)s+(m+1)b=t}. Let d=2i+(2n+1)s+(2m+1)b=2t−(s+b). Then d will be minimum when s+b will be maximum. Write t=k(n+1)+r, where 0≤r≤n. In general all the possible choices of (i,s,b) are (r1,k1,k2), where t=k1(n+1)+k2(m+1)+r1. We will prove that k≥k1+k2. Write k2(m+1)=k3(n+1)+r2, where r2≤n. Therefore k3≥k2. So t=(k1+k3)(n+1)+(r1+r2). Again write r1+r2=k4(n+1)+r4, where r4≤n. Then t=(k1+k2+k3)(n+1)+r4, with r4≤n, which implies that k=k1+k3+k4 and r=r4. Hence k≥k1+k3≥k1+k2. Thus \alpha(I^{(t)})=2t-k=2t-\Bigl{\lfloor}\dfrac{t}{n+1}\Bigr{\rfloor}. Therefore α(I)=2−n+11=n+12n+1.
∎
Lemma 3.13**.**
Let G be the clique sum of two odd cycles C1=(x1,…,x2n+1) and C2=(x1,y2,…,y2m+1) joined at a vertex x1 with n<m. Let I=I(G) be the edge ideal of G and c1=x1x2⋯x2n+1,c2=x1y2⋯y2m+1. Let xa∈I(t) be a minimal generator of I(t) such that xa∈(c1) and xa∈/It then xa∈(D(t)) for n+1≤t≤m+1.
Proof.
Write xa=c1sxd such that s is as large as possible. Now xd can be written in the form E(xd)A(xd), where E(xd)=ei1bi1⋯eikbikfj1bj1⋯fjkbjk with bi1+⋯+bik+bj1+⋯+bjk=i and A(xd) is a product of ancillaries of xd. By Proposition 3.7, we can choose a minimal vertex cover V′ excluding the vertices that appear in ancillaries such that WV′(xd)=WV′(E(xd))=i, which implies that WV′(xa)=WV′(c1sE(xd))=(n+1)s+i≥t.
As for any minimal vertex cover V, WV(c1sE(xd))≥WV′(c1sE(xd)), so c1sE(xd)∈I(t). Since we are interested in minimal generators so we can take the monomial as xa=c1sE(xd). Then deg(xa)=(2n+1)s+2i. Now from Corollary 3.11 it follows that (2n+1)s+2i=2[(n+1)s+i]−s=2t−s<2t.
∎
Theorem 3.14**.**
Let G be the clique sum of two odd cycles C1=(x1,…,x2n+1) and C2=(x1,y2,…,y2m+1) joined at a vertex x1 with n<m. Let I=I(G) be the edge ideal of G. Let c1=x1⋯x2n+1 and c2=x1y2⋯y2m+1. Then
(1)
For 1≤t≤n, we have I(t)=It.
2. (2)
I(n+1)=In+1+(c1).**
3. (3)
For n+2≤t≤m+1 we have I(t)=It+(D(t)).
Proof.
(1)
The proof follows from [11, Corollary 4.5].
2. (2)
Since c2∈Im and n+1≤m thus c2∈In+1. Then by Proposition 3.7, L(n+1)⊆In+1+c1. Thus by Corollary 3.9, I(n+1)⊆In+1+c1. Hence I(n+1)=In+1+c1.
3. (3)
From Lemma 3.13 and Proposition 3.7, it follows that (L(t))⊆It+(D(t)). So I(t)⊆It+(D(t)). Hence I(t)=It+(D(t)).
∎
Corollary 3.15**.**
Let G be the clique sum of two odd cycles C1=(x1,…,x2n+1) and C2=(x1,y2,…,y2n+1) of same length joined at a vertex x1. Let I=I(G) be the edge ideal of G and c1=x1⋯x2n+1 and c2=x1y2⋯y2n+1. Then
(1)
I(s)=Is* for 1≤s≤n.*
2. (2)
I(n+1)=In+1+(x1⋯x2n+1)+(x1y2⋯y2n+1).**
Proof.
(1)
The proof follows from [11, Corollary 4.5].
2. (2)
The proof follows from Proposition 3.7 and Corollary 3.10.
∎
In [10, Lemma 3.1] Jayanthan and Kumar have described the structure of the symbolic Rees algebra for the clique sum of same length odd cycles and computed the invariants. In the next theorem we describe the structure of the symbolic Rees algebra for the clique sum of two different length odd cycles joined at a single vertex using the description of L(t) and D(t).
Theorem 3.16**.**
(1)
Let G be clique sum of two same length odd cycles C1=(x1,…,x2n+1) and C2=(x1,y2,…,y2n+1) joined at a single vertex x1. Let I=I(G) be the edge ideal. Let s∈N and write s=k(n+1)+r for some k∈Z and 0≤r≤n. Then
[TABLE]
2. (2)
Let G be the clique sum of two odd cycles C1=(x1,…,x2n+1) and C2=(x1,y2,…,y2m+1) joined at a vertex x1 with n<m. Let I=I(G) be the edge ideal of G and c1=x1⋯x2n+1. Let s=k1(n+1)+r1, where 0≤r1≤n and s=k2(m+1)+r2, where 0≤r2≤m. Then
[TABLE]
Proof.
By Theorems 2.9 and 2.11, G is an implosive graph in either case. Thus symbolic Rees algebra Rs(I) of I is generated by the monomials of the form xvtb, where v∈{0,1}∣V(G)∣ and Gv is induced indecomposable subgraph of G. It can be seen from [7, Corollary 2a] that induced indecomposable subgraphs of G is either an edge or an odd cycle.
(1)
Thus symbolic Rees algebra is minimally generated only in degrees 1 and n+1, so we have
[TABLE]
2. (2)
Here symbolic Rees algebra is generated in degrees 1, n+1 and m+1.
[TABLE]
∎
Proposition 3.17**.**
Let G be the clique sum of two odd cycles C1=(x1,…,x2n+1) and C2=(x1,y2,…,y2m+1) joined at a vertex x1 with n<m. Let I=I(G) be the edge ideal of G and k=\Bigl{\lfloor}\dfrac{t}{n+1}\Bigr{\rfloor}. Then
[TABLE]
Proof.
From Theorem 3.14, it follows that I(t)=It+(Dmin(t)) for n+1≤t≤m+1. Therefore to compute symbolic defect we need to count the minimal number of generators of (Dmin(t)).
To find the cardinality of Dmin(t), we need to find the number of solution of the equation i+(n+1)s+(m+1)b=t for i<t. For b≥1, there is only one solution namely (i,s,b)=(0,0,1) and it is for t=m+1. So to find the other solutions we assume b=0 and count the number of solutions of the equation i+(n+1)s=t with i<t. As 0≤i<t, therefore 1\leq s\leq\Bigl{\lfloor}\dfrac{t}{n+1}\Bigr{\rfloor}. Thus the cardinality of the set Dmin(t) is \Bigl{\lfloor}\dfrac{t}{n+1}\Bigr{\rfloor} for 1≤t≤m and cardinality of Dmin(m+1) is \Bigl{\lfloor}\dfrac{t}{n+1}\Bigr{\rfloor}+1. The elements of Dmin(t) are of the form Ii(c1)s(c2)b. If b=0 then the elements Dmin(t) are of the form Ii(c1)s and for different i,s there are elements be computed repeatedly. Therefore
\operatorname{sdefect}(I,t)\leq\displaystyle{\sum_{i=1}^{k}{\mu(I^{t-i(n+1)})}}=\displaystyle{\sum_{i=1}^{k}{{t-i(n+1)+2n+2m+1}\choose{2n+2m+1}}}\text{ for n+1\leq t\leq m } and
sdefect(I,t)≤i=1∑kμ(It−i(n+1))+1=i=1∑k(2n+2m+1t−i(n+1)+2n+2m+1)+1 for t=m+1.
∎
4. Symbolic powers of edge ideals of complete graph
Throughout this section G is a complete graph with n vertices and I=I(G) be the edge ideal of G. In this section we describe the generators of the symbolic powers of I and calculate Waldschmidt constant, the resurgence and find the symbolic defect partially. We prove Minh’s conjecture by showing that the regularity of symbolic powers and ordinary powers of I are equal. We know that I(t)=(L(t))+(D(t)). In [9, Theorem 6.4] it is known that for complete graph (L(t))=It. Thus it is enough to understand the generators of (D(t)). The following lemma describes the generators of (D(t)).
Lemma 4.1**.**
Let G be a complete graph with n vertices and I=I(G) is the edge ideal. Then for t≥2 we have
[TABLE]
Proof.
Since G is a complete graph in n vertices, any set of (n−1) vertices forms a minimal vertex cover for G. Let xa=x1a1x2a2⋯xnan∈D(t) then a1+⋯+an≤2t−1 and since xa∈I(t) for any minimal vertex cover V,WV(xa)≥t which implies that ai1+ai2+⋯+ain−1≥t\mboxfor{i1,i2,…,in−1}⊆{1,2,…,n}. Hence the result follows.
∎
Next theorem describes the generators of Rs(I). Since complete graph is perfect graph thus by [3], G is implosive graph. Hence by Theorem 2.7, we need to find all the induced indecomposable subgraph of G.
Theorem 4.2**.**
For 1≤s≤n−1 we get I(s)=Is+(D(s)). And for any s≥n we have
[TABLE]
Proof.
Here all induced subgraphs are induced indecomposable subgraphs. Therefore symbolic Rees algebra is minimally generated in degrees 1,2,…,n−1. Thus it is enough to find D(s) for 2≤s≤n−1. For 1≤s≤n−1 we get I(s)=Is+(D(s)), and if s≥n then I(s) is generated by I,I(2),…,I(n−1). Hence the result follows.
∎
Next we compute the Waldschmidt constant, resurgence and symbolic defect for G.
Theorem 4.3**.**
Let G be the complete graph on the vertices {x1,…,xn} and I=I(G) be its edge ideal. Then
(1)
*For any s∈N, α(I(s))
= *s+\Bigl{\lceil}\dfrac{s}{n-1}\Bigr{\rceil}.\qquad
Particularly, the Waldschmidt constant of I is given by
[TABLE]
2. (2)
α(I(s))<α(It)ifandonlyifI(s)⊈It**
3. (3)
The resurgence of I is given by ρ(I)=n2n−2
Proof.
(1)
Since G is a complete graph, any minimal vertex cover of G will be of the form xi1,xi2,…,xin−1 where {i1,i2,…,in−1}⊆{1,2,…,n}. Note that for 1≤s≤n−1, no monomial of degree ≤s is in I(s), where as x1x2…xs+1∈I(s). Therefore α(I(s))=s+1 for 1≤s≤n−1. From Theorem 4.2, it follows that for s≥n,
[TABLE]
Now 2r1+3r2+⋯+nrn−1=s+r1+r2+⋯+rn−1. Then it is equivalent to find the minimum of r=r1+r2⋯+rn−1 with the condition s=r1+2r2+⋯+(n−1)rn−1. Write s=k(n−1)+p for some k∈Z and 0≤p≤n−2. Then observe that minimum value of r will occur for maximum value of rn−1 and the maximum value of rn−1 is k. Therefore the minimal generating degree term will come from I(n−1)kI(p). Hence
Let T={ts∣I(s)⊈It}.
For any ts∈T we have α(I(s))<α(It). By part (1) it follows that s+\Bigl{\lceil}\dfrac{s}{n-1}\Bigr{\rceil}<2t. This implies that ts<n2(n−1). So ρ(I)≤n2(n−1). By [6, Theorem 1.2], we have α(I)/α^(I)≤ρ(I). Thus by part (1), this gives that n2(n−1)≤ρ(I). Hence ρ(I)=n2(n−1).
∎
Theorem 4.4**.**
Let G be a complete graph with n vertices and I=I(G) be the edge ideal of G. Then for 2≤s≤n−1 we have
[TABLE]
Proof.
Since G is a complete graph we have I(s)=Is+(D(s)). Therefore in order to compute sdefect(I,s), we count the number of minimal generators of the ideal (D(s)). Then the following set give the minimal generators of the ideal (D(s)),
[TABLE]
Any other elements in D(s) with condition a1+⋯+an>α(I(s)) will be generated by the elements of Dmin(s).
From Theorem 4.3, it follows that for 1≤s≤n−1,α(I(s))=s+1. Therefore ai∈{0,1}. Then it is clear that the monomial x1a1x2a2⋯xnan will be an element of Dmin(s) if and only if (s+1) co-ordinates in that tuple will be 1 and rest will be [math]. Hence number of solutions will be (s+1n).
∎
Now we show that Minh’s conjecture is true for complete graphs. In order to prove this we need the following lemma.
Lemma 4.5**.**
Let G be a complete graph with n vertices and I=I(G) is the corresponding edge ideal in the polynomial ring R=k[x1,…,xn]. Let m=(x1,…,xn) is the maximal homogeneous ideal of R, then mt−1I(t)⊆It.
Proof.
Let xa=x1a1x2a2⋯xnan∈I(t) and x1b1x2b2⋯xnbn∈mt−1, which implies ai1+ai2+⋯+ain−1≥t\mboxfor{i1,i2,…,in−1}⊆{1,2,…,n} and b1+⋯+bn≥t−1. Then any monomial in mt−1I(t) will be of the form x1a1+b1x2a2+b2⋯xnan+bn=xa+b. Since G is a complete graph, if any monomial is written in the optimal form then there will be at most one ancillary. Let x1 is the ancillary with degree at least 2. Let eij denote the edge between xi and xj. Then in the optimal form only the edges of the form e1i will be present. Thus xa+b=x1ce12a2+b2e13a3+b3⋯e1nan+bn where c≥2. Now b(x1ce12a2+b2e13a3+b3⋯e1nan+bn)=a2+⋯+an+b2+⋯+bn≥t, which implies xa+b∈It. Hence mt−1I(t)⊆It.
Now consider the case when x1 is an ancillary of degree at most 1.
We would like to prove that deg(xa)≥t+1.
Let us assume that deg(xa)<t+1. So deg(xa)≤t, but we also have that a1+⋯+an−1≥t which implies that an=0. Similarly we can show that a1=a2=⋯=an=0 which is a contradiction. Therefore deg(xa)≥t+1. Thus the degree of xa+b is at least (t−1)+(t+1)=2t. Now in xa+b if the ancillary is of degree [math] then nothing to prove. Let us assume that the ancillary is of degree 1. Then xa+b=x1∏i,jeijbij. which implies that deg(∏i,jeijbij)≥2t−1. Hence deg(∏i,jeijbij)≥2t. Thus xa+b∈It.
∎
Theorem 4.6**.**
Let G be a complete graph with n vertices and I=I(G) be the edge ideal of G. Then for any s≥1, we have
[TABLE]
Proof.
By Lemma 4.5 we have ms−1I(s)⊆Is, so I(s)/Is is an Artinian module. Therefore dimI(s)/Is=0 and hence Hmi(I(s)/Is)=0 for i>0. Consider the following short exact sequence
[TABLE]
Applying local cohomology functor we get Hmi(R/I(s))≅Hmi(R/Is) for i≥1 and the following short exact sequence
[TABLE]
Now from (\refexact) it follows that a0(R/I(s))≤a0(R/Is).
So we can conclude that regR/I(s)=max{ai(R/I(s))+i∣i≥0}≤max{ai(R/I(s))+i∣i≥0}=reg(R/Is). Therefore regI(s)≤regIs.
It follows from [5, Theorem 4.6] that regI(s)≥2s. As complete graph is co-chordal graph, so by [8] regIs=2s. Thus we have regI(s)=regIs.
∎
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