Antimagic Labelings of Weighted and Oriented Graphs

Similar documents
Lucky Choice Number of Planar Graphs with Given Girth

FOUR EDGE-INDEPENDENT SPANNING TREES 1

Color-blind index in graphs of very low degree

An Improved Upper Bound for the Sum-free Subset Constant

Some Upper Bounds for Signed Star Domination Number of Graphs. S. Akbari, A. Norouzi-Fard, A. Rezaei, R. Rotabi, S. Sabour.

Winning Positions in Simplicial Nim

PACKING DIGRAPHS WITH DIRECTED CLOSED TRAILS

Seema Mehra, Neelam Kumari Department of Mathematics Maharishi Dayanand University Rohtak (Haryana), India

The Structure of Bull-Free Perfect Graphs

Vertex Magic Total Labelings of Complete Graphs 1

CHAPTER 2. Graphs. 1. Introduction to Graphs and Graph Isomorphism

Extremal results for Berge-hypergraphs

Strong and Semi Strong Outer Mod Sum Graphs

Bar k-visibility Graphs

2. CONNECTIVITY Connectivity

Vertex-antimagic total labelings of graphs

Vertex Magic Total Labelings of Complete Graphs

Math 170- Graph Theory Notes

Small Survey on Perfect Graphs

Some Elementary Lower Bounds on the Matching Number of Bipartite Graphs

arxiv: v2 [math.co] 13 Aug 2013

EDGE MAXIMAL GRAPHS CONTAINING NO SPECIFIC WHEELS. Jordan Journal of Mathematics and Statistics (JJMS) 8(2), 2015, pp I.

On vertex-coloring edge-weighting of graphs

A NOTE ON THE ASSOCIATED PRIMES OF THE THIRD POWER OF THE COVER IDEAL

Disjoint directed cycles

Bar k-visibility Graphs: Bounds on the Number of Edges, Chromatic Number, and Thickness

Monotone Paths in Geometric Triangulations

CS473-Algorithms I. Lecture 13-A. Graphs. Cevdet Aykanat - Bilkent University Computer Engineering Department

arxiv: v1 [math.co] 28 Dec 2013

Vertex 3-colorability of claw-free graphs

Math 776 Graph Theory Lecture Note 1 Basic concepts

VERTEX-MAGIC TOTAL LABELINGS OF DISCONNECTED GRAPHS

Problem Set 2 Solutions

AMO - Advanced Modeling and Optimization, Volume 16, Number 2, 2014 PRODUCT CORDIAL LABELING FOR SOME BISTAR RELATED GRAPHS

Line Graphs and Circulants

Collapsible biclaw-free graphs

Adjacent Vertex Distinguishing Incidence Coloring of the Cartesian Product of Some Graphs

Chordal Graphs and Minimal Free Resolutions

The strong chromatic number of a graph

Math 778S Spectral Graph Theory Handout #2: Basic graph theory

Abstract. A graph G is perfect if for every induced subgraph H of G, the chromatic number of H is equal to the size of the largest clique of H.

Partitioning Complete Multipartite Graphs by Monochromatic Trees

On Possible Counterexamples to Negami s Planar Cover Conjecture

Forced orientation of graphs

Bipartite Roots of Graphs

Treewidth and graph minors

Characterizing Graphs (3) Characterizing Graphs (1) Characterizing Graphs (2) Characterizing Graphs (4)

Introduction III. Graphs. Motivations I. Introduction IV

Progress Towards the Total Domination Game 3 4 -Conjecture

ON A WEAKER VERSION OF SUM LABELING OF GRAPHS

Product Cordial Labeling for Some New Graphs

Decreasing the Diameter of Bounded Degree Graphs

MC 302 GRAPH THEORY 10/1/13 Solutions to HW #2 50 points + 6 XC points

Vertex-Mean Graphs. A.Lourdusamy. (St.Xavier s College (Autonomous), Palayamkottai, India) M.Seenivasan

Odd Harmonious Labeling of Some Graphs

Weak Dynamic Coloring of Planar Graphs

Prime Labeling for Some Cycle Related Graphs

The Rainbow Connection of a Graph Is (at Most) Reciprocal to Its Minimum Degree

Matching Algorithms. Proof. If a bipartite graph has a perfect matching, then it is easy to see that the right hand side is a necessary condition.

Finding bipartite subgraphs efficiently

On graphs of minimum skew rank 4

Chapter 4. square sum graphs. 4.1 Introduction

Distributed minimum spanning tree problem

γ(ɛ) (a, b) (a, d) (d, a) (a, b) (c, d) (d, d) (e, e) (e, a) (e, e) (a) Draw a picture of G.

Chapter 4. Triangular Sum Labeling

AMS /672: Graph Theory Homework Problems - Week V. Problems to be handed in on Wednesday, March 2: 6, 8, 9, 11, 12.

CPS 102: Discrete Mathematics. Quiz 3 Date: Wednesday November 30, Instructor: Bruce Maggs NAME: Prob # Score. Total 60

Combinatorial Interpretations of Spanning Tree Identities

Matching and Factor-Critical Property in 3-Dominating-Critical Graphs

Lecture 1. 1 Notation

Rainbow game domination subdivision number of a graph

On Universal Cycles of Labeled Graphs

arxiv: v1 [math.co] 4 Apr 2011

Module 7. Independent sets, coverings. and matchings. Contents

Near-colorings: non-colorable graphs and NP-completeness

On the number of distinct directions of planes determined by n points in R 3

DOMINATION GAME: EXTREMAL FAMILIES FOR THE 3/5-CONJECTURE FOR FORESTS

Adjacent: Two distinct vertices u, v are adjacent if there is an edge with ends u, v. In this case we let uv denote such an edge.

Lecture 5: Graphs. Rajat Mittal. IIT Kanpur

Equitable edge colored Steiner triple systems

Simultaneous Diagonal Flips in Plane Triangulations

Edge Graceful Labeling of Some Trees

AN ITERATIVE APPROACH TO GRAPH IRREGULARITY STRENGTH

How to construct new super edge-magic graphs from some old ones

On the Partial Sum of the Laplacian Eigenvalues of Abstract Simplicial Complexes

LOCAL IRREGULARITY VERTEX COLORING OF GRAPHS

Root Cover Pebbling on Graphs

NEIGHBOURHOOD SUM CORDIAL LABELING OF GRAPHS

A digital pretopology and one of its quotients

Characterizations of Trees

MATH 890 HOMEWORK 2 DAVID MEREDITH

Mean, Odd Sequential and Triangular Sum Graphs

Every DFS Tree of a 3-Connected Graph Contains a Contractible Edge

6th Bay Area Mathematical Olympiad

Partitions and Packings of Complete Geometric Graphs with Plane Spanning Double Stars and Paths

Induced-universal graphs for graphs with bounded maximum degree

Math 454 Final Exam, Fall 2005

Symmetric Product Graphs

Gracefulness of a New Class from Copies of kc 4 P 2n and P 2 * nc 3

Extremal functions for rooted minors

Transcription:

Antimagic Labelings of Weighted and Oriented Graphs Zhanar Berikkyzy, Axel Brandt, Sogol Jahanbekam, Victor Larsen, Danny Rorabaugh October 7, 014 Abstract A graph G is k weighted list antimagic if for any vertex weighting ω : V (G) R and any list assignment L: E(G) R with L(e) E(G) +k there exists an edge labeling f such that f(e) L(e) for all e E(G), labels of edges are pairwise distinct, and the sum of the labels on edges incident to a vertex plus the weight of that vertex is distinct from the sum at every other vertex. In this paper we prove that every graph on n vertices having no K 1 or K component is weighted list antimagic. An oriented graph G is k oriented antimagic if there exists an injective edge labeling from E(G) into {1,, E(G) + k} such that the sum of the labels on edges incident to and oriented toward a vertex minus the sum of the labels on edges incident to and oriented away from that vertex is distinct from the difference of sums at every other vertex. We prove that every graph on n vertices with no K 1 component admits an orientation that is oriented antimagic. Keywords: antimagic labeling; Combinatorial Nullstellensatz; oriented graph; reducible configuration. Mathematics Subject Classification: 05C15, 05C0, 05C, 05C78. 1 Introduction In this paper we consider simple, finite graphs. In a labeling of a graph G, we define the vertex sum at a vertex v to be the sum of labels of edges incident to v. A graph G is antimagic if there exists a bijective edge labeling from E(G) to {1,, E(G) } such that the vertex sums are pairwise distinct. This concept was first introduced by Hartsfield and Ringle in [5]. Excluding K, they prove that cycles, paths, complete graphs, and wheels are antimagic and they make the following conjecture. Conjecture 1.1 ([5]). Every simple connected graph other than K is antimagic. The most significant work toward proving this conjecture is by Alon et al. [] who prove that there is an absolute constant C such that every graph with n vertices and minimum degree at Research supported in part by NSF grant DMS-14756, The Rocky Mountain Great Plains Graduate Research Workshop in Combinatorics. Dept. of Math., Iowa State University, zhanarb@iastate.edu Dept. of Math. and Stat. Sci., Univ. of Colorado Denver, Axel.Brandt@ucdenver.edu Dept. of Math. and Stat. Sci., Univ. of Colorado Denver, Sogol.Jahanbekam@ucdenver.edu Dept. of Math. and Comp. Sci., Emory Univ., vlarsen@emory.edu Dept. of Math., Univ. of South Carolina, rorabaug@math.sc.edu 1

least C log n is antimagic. They also prove that a graph G on n vertices is antimagic if n 4 and (G) n. Later, Yilma [10] improved this condition from n to n when n 9. Toward answering Conjecture 1.1, it is helpful to see how close graph classes are to being antimagic. Several notions have been considered as either a measure of closeness to being antimagic or a variation thereof. A graph G is k antimagic if there exists an injective edge labeling from E(G) into {1,, E(G) + k} such that vertex sums are pairwise distinct. If for any vertex weighting from V (G) into R, there exists a bijective edge labeling from E(G) to {1,, E(G) } such that the weighted vertex sum at a vertex, which is the vertex sum plus the vertex weight, is distinct from the weighted vertex sum at any other vertex, then G is weighted antimagic. When a graph is described using a combination of variations in this paper, it satisfies the conditions of each variation mentioned in its description. For example, a graph G is k weighted antimagic if for any vertex weighting from V (G) into R, there exists an injective edge labeling from E(G) into {1,, E(G) +k} such that weighted vertex sums are pairwise distinct. Note that antimagic is equivalent to 0 antimagic. Wong and Zhu [9] provide a family of connected graphs that is not 1 weighted antimagic in which each graph in the family has an even number of vertices, and they pose the following questions. Question 1. ([9]). Is it true that every connected graph G K is weighted antimagic? Question 1. ([9]). Is there a connected graph G with an odd number of vertices which is not 1 weighted antimagic? They also prove the following. Theorem 1.4 ([9]). Every connected graph G K on n vertices is ( n ) weighted antimagic. A graph G is k list antimagic if for any list function L: E(G) R, where L(e) E(G) + k for all e E(G), there exists an edge labeling that assigns each edge e a label from L(e) such that edge labels are pairwise distinct and vertex sums are pairwise distinct. We improve upon Theorem 1.4 by proving the following broader theorem. Theorem 1.5. Every graph on n vertices with no K 1 or K component is list weighted antimagic. Note that Theorem 1.5 includes disconnected graphs. Introduced in [6], an oriented graph G is oriented antimagic if there exists a bijective edge labeling from E(G) to {1,, E(G) } such that oriented vertex sums are pairwise distinct, where an oriented vertex sum at a vertex v is the sum of labels of edges incident to and oriented toward v minus the sum of labels of edges incident to and oriented away from v. An orientation of G is a directed graph with G as the underlying simple graph. Hefetz, Mütze, and Schwartz [6] prove that there is a constant C such that every orientation of a graph on n vertices with minimum degree at least C log n is oriented antimagic. They also show that every orientation of complete graphs, wheels, stars with at least 4 vertices, and regular graphs of odd degree are oriented antimagic. In addition, they show that every regular graph on n vertices with even degree and a matching of size n has an orientation that is oriented antimagic. They make the following conjecture and ask the subsequent question.

Conjecture 1.6 ([6]). Every connected undirected graph has an orientation that is oriented antimagic. Question 1.7 ([6]). Is every connected oriented graph with at least 4 vertices oriented antimagic? Toward Conjecture 1.6, we prove the following. Theorem 1.8. Every graph on n vertices admits an orientation that is oriented antimagic. We direct the interested reader to [4] for a more thorough history of antimagic labelings and its variations. Before presenting our results in Sections and, we present some useful tools. The primary tool used in the results is Alon s Combinatorial Nullstellensatz. Theorem 1.9 (Combinatorial Nullstellensatz, [1]). Let f be a polynomial of degree t in m variables over a field F. If there is a monomial x t i i in f with t i = t whose coefficient is nonzero in F, then f is nonzero at some point of T i, where each T i is a set of t i + 1 distinct values in F. We use the following specific instance of Equation (5.16) in [] when applying the Combinatorial Nullstellensatz. Lemma 1.10 ([]). The coefficient of the monomial in the polynomial 1 i<j N (x i x j ) s+1 has absolute value ( ) (s+1)n!. N!(s+1)! N 1 i N x s(n 1)+i 1 i Note that the polynomial in the above lemma is the determinant of the (s + 1) st power of the Vandermonde matrix. A vertex of degree at least j is called a j + vertex. For a property P, a configuration C is P reducible if C does not appear in an edge minimal graph failing P. An even (odd) component in a graph is a component that has an even (odd) number of vertices. A vertex v is in edge e, denoted v e, if e is incident to v. We use notation from [8] unless otherwise specified. Antimagic Results The main results of this paper rely on an inductive argument. To avoid complications of creating isolated vertices or K components when deleting edges we define the following concept. A graph G is k quasi antimagic if there exists an injective edge labeling from E(G) into {1,, E(G) + k} such that vertex sums are pairwise distinct for pairs of non isolated vertices that are not adjacent in a K component. Notice that if a graph has no isolated vertex and no K component, k quasi antimagic is equivalent to k antimagic. Lemma.1. If G is a graph on n vertices and (G) then G is list weighted quasi antimagic. Proof. It suffices to prove the lemma for graphs with δ(g) 1, since adding isolated vertices increases n without adding any additional labeling requirements. Let G have m edges. Given 1 δ(g) (G), every component of G is a path or cycle and has at least vertices. Let e 1,, e q be the q isolated edges of G, d 1,, d r be the

r even components of G each having at least 4 vertices, and c 1,, c s be the odd components of G. Let ω : V (G) R be a vertex weighting and L: E(G) R be a list function such that L(e) m + for all e E(G). Let E be a matching in G of maximum size and let E = E(G) E. Notice that e 1,, e q are in E. Thus we may suppose E = {e 1,, e k }, where k q. In particular, k = n s. Also define v i for each i [s] to be the unique vertex in c i such that v i is not incident to any edge in E. v s v 1 v i v i+1 e 1 e q d 1 d i d i+1 d r c 1 c i c i+1 c s Figure 1: Components (paths or cycles) of G with edges in the maximum matching E in bold. In the first stage of this proof, we create an injective edge labeling into {1,, m + } from the edges of E, that is the edges in the d i and c i components that are not in the matching. Note that E = m n s. We create a labeling on E iteratively in the following way. For edge e = yz E, we label e from L(e) such that (1) the label assigned to e is not already assigned to a different edge, of which there are at most E 1, () neither y nor z attains the same weighted vertex sum as that of its neighbor u / {y, z}, if such a neighbor exists, and () if v i {y, z} for some i [s], then the new weighted vertex sum at v i must be distinct from the weighted vertex sum at v j for each j i. With these three restrictions, there are at most ( E 1) + + (s 1) values that are not allowed when labeling each edge in E. Since L(e) m + for each edge e and s n, we have E + s = m n s + s = m + s n m < L(e). Therefore, such a labeling on E is possible. The second stage of this proof is to label the edges of the maximum matching E in G. Let f : E R be the partial edge labeling described above and ω : V (G) R be the weighted vertex sums obtained by adding the partial edge labeling to the original vertex weights according to incidence. From the iterative labeling of the first stage, the vertices not incident to any edge in E, v 1,, v s, have pairwise distinct weighted vertex sums. For each i [k], let x i be the variable for the labeling of edge e i in E. Two edge labels or two final vertex sums are the same in G 4

precisely at zeroes of the polynomial g(x 1,, x k ) = 1 i<j k 1 i k (x i x j ) (x i + ω (u) x j ω (u )) u e i u e j (x i f (e)) (x i + ω (u) ω (v j )). e E 1 j s u e i One can check that a term in the first bracketed product is zero for some particular i < j if and only if either e i and e j have been given the same labels or the final vertex sum of an endpoint of e i matches the final vertex sum of an endpoint of e j. A term in the second bracketed product is zero for a particular i if and only if the label x i is already used in E or one endpoint of e i has the same final vertex sum as v j for any j [s]. Note that the maximum degree in g is ( k ) 5+k (s+m k). The monomials of maximum degree in g have the same coefficients as they do in polynomial By Lemma 1.10, the monomial h(x 1,, x k ) = 1 i<j k (x i x j ) 5 1 i k x s+m k i. x (k 1)+(s+m k) 1 x (k 1)+1+(s+m k) x (k 1)+(s+m k) k has nonzero coefficient in h and thus in g. Note that each edge has a set of at least m + available labels. Recall that k = n s and s n. Hence (k 1) + (s + m k) = m + n + s n m + n + < m +. By Theorem 1.9, G has a list weighted quasi antimagic labeling. Lemma.. A + vertex is list weighted quasi antimagic reducible. Proof. Let G be an edge minimal graph on m edges that is not list weighted quasi antimagic. Suppose that v is a + vertex with neighbors u 1, u, and u. Let G = G {vu 1, vu, vu }. By the choice of G, G is list weighted quasi antimagic. Let ω : V (G) R and L: E(G) R such that L(e) m+ for all e E(G). Thus there is a labeling f of E(G ) using labels in the lists of its edges that is a list weighted quasi antimagic labeling of G. We apply the Combinatorial Nullstellensatz to extend f to an edge labeling of G which is list weighted quasi antimagic. Let x 1, x, and x correspond to the labels of edges vu 1, vu, and vu, respectively. Using S G (v) to denote the weighted vertex sum of v in G, we define the following polynomial in which respective factors ensure a distinct edge labeling for edges in {vu 1, vu, vu }, distinct weighted sums 5

for any pair between V (G) {v, u 1, u, u } and {v, u 1, u, u }, any pair between v and {u 1, u, u }, and any pair in {u 1, u, u }. g(x 1, x, x ) = (x i x j ) (S G (v) + x 1 + x + x S G (w)) 1 i<j i=1 w / {v,u 1,u,u } 1 i<j w / {v,u 1,u,u } (x i + S G (u i ) S G (w)) (x i + S G (u i ) x j S G (u j )). (S G (v) + x 1 + x + x x i S G (u i )) By construction, g(x 1, x, x ) = 0 when x i L(vu i ) {f(e): e E(G )} if and only if labels chosen for x 1, x, and x do not create a list weighted quasi antimagic labeling. Note that deg(g) i=1 ( ) + (n 4) + (n 4) + + ( ) = 7. Therefore the coefficient of any monomial x a 1 xb xc, where a + b + c = 7 in g is the same as its coefficient in the polynomial h(x 1, x, x ) = x n 4 1 x n 4 x n 4 (x 1 + x + x ) n 4 (x i x j ) (x i + x j ). 1 i<j Set a = 7 7 + 1, b = 7, and c = 7 1. Using a CAS, it is straightforward to verify that x a 1 xb xc has a nonzero coefficient in h, hence also in g. (Sage [7] code used by the authors is available upon request.) Define L (vu i ) = L(vu i ) {f(e): e E(G )}. Since L(vu i ) m +, we have L (vu i ) +. Thus, by Theorem 1.9, there are labels f(vu1 ), f(vu ), and f(vu ) in L (vu 1 ), L (vu ), and L (vu ), respectively, for which g(f(vu 1 ), f(vu ), f(vu )) is nonzero. Therefore we obtain a list weighted quasi antimagic labeling of G, contradicting the choice of G. Instead of proving Theorem 1.5, we prove the following stronger theorem. Theorem.. Every graph on n vertices is list weighted quasi antimagic. Proof. Suppose not and let G be an edge minimal counterexample. By Lemma., (G). However, our assumption contradicts Lemma.1. Remark: Taking a similar approach to that in Lemma. may be advantageous in showing that a d + vertex is list weighted quasi antimagic reducible. (d+1)n d Oriented Antimagic Results For oriented graphs, we define a slightly different notion of k quasi antimagic. An oriented graph G is k quasi oriented antimagic if there exists an injective edge labeling from E(G) into {1,, E(G) +k} such that the oriented vertex sums are pairwise distinct for pairs of non isolated vertices, and we call such a labeling a k quasi oriented antimagic labeling. The proof of the following lemma is similar to that of Lemma.1. 6

Lemma.1. Let G be a graph with n vertices with (G). The graph G has an orientation that is quasi oriented antimagic. Proof. It suffices to prove the lemma for graphs with δ(g) 1, since adding isolated vertices increases n without adding any additional labeling requirements. Since 1 δ(g) (G), every component of G is a path or cycle and has at least vertices. Let G have m edges, where e 1,, e q are the q isolated edges of G, let d 1,, d r be the r even components of G each having at least 4 vertices, and let c 1,, c s be the odd components of G. We consider an arbitrary orientation of G, although we may flip the orientation of a few edges in the final stages of this proof. Let E be a matching in G of maximum size and let E = E(G) E. Notice that e 1,, e q are in E. Thus we may suppose E = {e 1,, e k }, where k q. In particular, k = n s. For each i [s], define v i to be the unique vertex in c i such that v i is not incident to any edge in E. In the first stage of this proof, we create an injective edge labeling on the edges of E, that is the edges in the d i and c i components that are not in the matching. Note that E = m n s. We create the labeling on E in such a manner that the oriented vertex sums at vertices not incident to any edge in E are pairwise distinct. Label the edges of E iteratively using labels from {1,, m + } such that the label assigned to edge e = yz E is distinct from labels already assigned, of which there are at most E 1, and such that if v i {y, z} for some i [s], the oriented vertex sum at v i is distinct from the oriented vertex sum at v j for each j i. With these two restrictions, there are at most ( E 1) + (s 1) values avoided by labeling e. Since s n, we have E + s < m n s + s = m + s n m < m + Therefore, such a labeling on E is possible. The second stage of this proof is to label the edges of the maximum matching E in G. Let f : E R be the partial edge labeling and ω : V (G) R be the oriented vertex sums obtained from the partial edge labeling. From the iterative labeling described in the first stage, the vertices not incident to any edge in E, v 1,, v s, have pairwise distinct oriented vertex sums. For each i [k], let x i be the variable for the labeling of edge e i in E. For each edge e in the orientation of G under consideration, let e + denote the endpoint of e toward which e is oriented and let e denote the endpoint of e away from which e is oriented. Two edge labels or two final oriented vertex sums are the same in G precisely at zeroes of the polynomial g(x 1,, x k ) = (x i + ω (e + i ) + x i ω (e i )) 1 i k 1 i<j k 1 i<j k 1 i k 1 j s 1 i k (x i x j) [ (x i + ω (e + i ) x j ω (e + j ))(x i + ω (e + i ) + x j ω (e j )) ( x i + ω (e i ) + x j ω (e j ))( x i + ω (e i ) x j ω (e + j )) ] (x i + ω (e + i ) ω (v j ))( x i + ω (e i ) ω (v j )) e E (x i (f (e)) ) 7.

of degree k + ( ( k ) + k ) 4 + ks + k(m k). Note that the factors from 1 i<j k (x i x j ) and 1 i k e E (x i (f (e)) ) guarantee that labels chosen for edges have distinct absolute values, a fact that will be used to complete the desired edge labeling. The highest degree monomials of g have the same coefficients as they do in the polynomial h(x 1,, x k ) = ( 1) sk k (x i x j) x 1+s+(m k) i. By Lemma 1.10, the monomial 1 i<j k 1 i k x [(k 1)]+(1+s+(m k)) 1 x [(k 1)+1]+(1+s+(m k)) x [(k 1)]+(1+s+(m k)) k has a nonzero coefficient in h and thus in g. For all 1 i k, let T (e i ) = {±1,, ±(m + )}. Recall that k = n s. Since s n, we have [(k 1)] + (1 + s + (m k)) = (m + k + s) ( < m + n + s ) 1 ( ) m +. By Theorem 1.9, there are f(e i ) in T (e i ) such that h(f(e 1 ),, f(e k )) is nonzero. If f(e i ) < 0, switch the initial orientation of that edge and take the absolute value of f(e i ) to obtain a quasi oriented antimagic labeling of G. Lemma.. A + vertex in a graph G on n vertices is reducible for the property that there exists an orientation of G that is quasi oriented antimagic. Proof. Let G be an edge minimal graph that has no orientation that is quasi oriented antimagic and let E(G) = m. Suppose that v is a + vertex with neighbors u 1, u, and u. Let G = G {vu 1, vu, vu }. By the choice of G, G has an orientation D that is quasi oriented antimagic. Thus there is a labeling f of E(D ) using labels in the set {1,, m + } that is a quasi oriented antimagic labeling on D. We apply the Combinatorial Nullstellensatz to find an orientation of G that is quasi oriented antimagic, in which the orientation and edge labeling on G are D and f, respectively. Let x 1, x, and x correspond to the labels of edges vu 1, vu, and vu, respectively. Consider the following polynomial in which ω (v) denotes the oriented vertex sum at v in G : g(x 1, x, x ) = (x i x j) (ω (v) + x 1 + x + x ω (z)) 1 i<j i=1 z / {v,u 1,u,u } 1 i<j z / {v,u 1,u,u } ( x i + ω (u i ) ω (z)) ( x i + ω (u i ) + x j ω (u j )). (ω (v) + x 1 + x + x + x i ω (u i )) i=1 Note that ( ) deg(g) + (n 4) + (n 4) + + ( ) = 4. 8

Therefore the coefficient of any monomial x a 1 xb xc, where a + b + c = 4 in g is the same as its coefficient in the polynomial h(x 1, x, x ) = ( x 1 ) n 4 ( x ) n 4 ( x ) n 4 (x 1 + x + x ) n 4 (x i x j)(x j x i ) 1 i<j (x 1 + x + x ) (x 1 + x + x ) (x 1 + x + x ). Set a = 4 4, b = 4, and c = 4. Using a CAS, it is straightforward to verify that x a 1 xb xc has a nonzero coefficient in h, hence also in g. (Sage [7] code used by the authors is available upon request.) Define T (vu i ) = { ±1,, ± ( m + )} {±f(e): e E(G )}. Since T (vu i ) + 6, by Theorem 1.9 there are labels f(vu 1 ), f(vu ), and f(vu ) in T (vu 1 ), T (vu ), and T (vu ), respectively, for which g ( f(vu 1 ), f(vu ), f(vu ) ) is nonzero. For i {1,, }, if f(vu i ) > 0 we orient vu i from u i to v, and if f(vu i ) < 0 we orient vu i from v to u i. The assignment of the label f(vu i ) to each vu i completes an extension of f to a quasi oriented antimagic labeling of G, contradicting the choice of G. Instead of proving Theorem 1.8, we prove the following stronger theorem. Theorem.. Every graph on n vertices admits an orientation that is quasi oriented antimagic. Proof. Suppose not and let G be an edge minimal counterexample. By Lemma., (G). However, our assumption contradicts Lemma.1. 4 Acknowledgements The authors would like to thank the organizers of the 014 Rocky Mountain Great Plains Graduate Research Workshop in Combinatorics without whom this collaboration would not have been possible. They would also like to acknowledge Nathan Graber, Kirsten Hogenson, and Lauren Morey, workshop participants who contributed in the initial exploration of this problem. References [1] N. Alon. Combinatorial Nullstellensatz. Combin. Probab. Comput., 8(1-):7 9, 1999. Recent trends in combinatorics (Mátraháza, 1995). [] N. Alon, G. Kaplan, A. Lev, Y. Roditty, and R. Yuster. Dense graphs are antimagic. J. Graph Theory, 47(4):97 09, 004. [] P. Di Francesco, M. Gaudin, C. Itzykson, and F. Lesage. Laughlin s wave functions, Coulomb gases and expansions of the discriminant. International Journal of Modern Physics A, 09(4):457 451, 1994. [4] J. A. Gallian. A dynamic survey of graph labeling. Electronic Journal of Combinatorics, 16, 01. 9

[5] N. Hartsfield and G. Ringel. Pearls in graph theory. Academic Press, Inc., Boston, MA, 1990. A comprehensive introduction. [6] D. Hefetz, T. Mütze, and J. Schwartz. On antimagic directed graphs. J. Graph Theory, 64():19, 010. [7] W. Stein et al. Sage Mathematics Software (Version x.y.z). The Sage Development Team, YYYY. http://www.sagemath.org. [8] D. B. West. Introduction to graph theory. Prentice Hall, Inc., Upper Saddle River, NJ, 1996. [9] T.-L. Wong and X. Zhu. Antimagic labelling of vertex weighted graphs. J. Graph Theory, 70():48 59, 01. [10] Z. B. Yilma. Antimagic properties of graphs with large maximum degree. J. Graph Theory, 7(4):67 7, 01. 10