Ars Combinatoria

ISSN 0381-7032 (print), 2817-5204 (online)

Ars Combinatoria is the oldest Canadian journal of combinatorics, established in 1976, dedicated to advancing combinatorial mathematics through the publication of high-quality, peer-reviewed research papers. Over the decades, it has built a strong international reputation and continues to serve as a leading platform for significant contributions to the field.
Open Access:  The journal follows the Diamond Open Access model—completely free for both authors and readers, with no article processing charges (APCs)
Publication Frequency: From 2024 onward, Ars Combinatoria publishes four issues annually—in March, June, September, and December.
Scope: Publishes research in all areas of combinatorics, including graph theory, design theory, enumeration, algebraic combinatorics, combinatorial optimization and related fields.
Indexing & Abstracting:  Indexed in MathSciNet, Zentralblatt MATH, and EBSCO, ensuring wide visibility and scholarly reach.
Rapid Publication: Submissions are processed efficiently, with accepted papers published promptly in the next available issue.
Print & Online Editions: Issues are available in both print and online formats to serve a broad readership.

B.S. El-Desouky1
1Mathematics Department, Faculty of Science, Mansoura University, 35516 Mansoura, Egypt
Abstract:

In this article, we give a generalization of the multiparameter non-central Stirling numbers of the first and second kinds, Lah numbers, and harmonic numbers. Some new combinatorial identities, new explicit formulas, and many relations between different types of Stirling numbers and generalized harmonic numbers are found. Moreover, some interesting special cases of the generalized multiparameter non-central Stirling numbers are deduced. Furthermore, a matrix representation of the results obtained is given and a computer program is written using Maple and executed for calculating \(GMPNSN-1\) and their inverse \((GMPNSN-2)\), along with some of their interesting special cases.

Benqiu Dai1, Wensong Lin1
1Department of Mathematics, Southeast University, Nanjing 210096, P.R. China
Abstract:

Suppose \(G\) is a graph. Let \(u\) be a vertex of \(G\). A vertex \(v\) is called an \(i\)-neighbor of \(u\) if \(d_G(u,v) = i\). A \(1\)-neighbor of \(u\) is simply called a neighbor of \(u\). Let \(s\) and \(t\) be two nonnegative integers. Suppose \(f\) is an assignment of nonnegative integers to the vertices of \(G\). If the following three conditions are satisfied, then \(f\) is called an \((s, t)\)-relaxed \(L(2,1)\)-labeling of \(G\): (1) for any two adjacent vertices \(u\) and \(v\) of \(G\), \(f(u) \neq f(v)\); (2) for any vertex \(u\) of \(G\), there are at most \(s\) neighbors of \(u\) receiving labels from \(\{f(u) – 1, f(u)+ 1\}\); (3) for any vertex \(u\) of \(G\), the number of \(2\)-neighbors of \(u\) assigned the label \(f(u)\) is at most \(t\). The minimum span of \((s, t)\)-relaxed \(L(2,1)\)-labelings of \(G\) is called the \((s,t)\)-relaxed \(L(2,1)\)-labeling number of \(G\), denoted by \(\lambda_{2,1}^{s,t}(G)\). It is clear that \(\lambda_{2,1}^{0,0}(G)\) is the so-called \(L(2, 1)\)-labeling number of \(G\). In this paper, the \((s, t)\)-relaxed \(L(2, 1)\)-labeling number of the hexagonal lattice is determined for each pair of two nonnegative integers \(s\) and \(t\). And this provides a series of channel assignment schemes for the corresponding channel assignment problem on the hexagonal lattice.

Xiaoxin Li1, Jia-Bao Liu2
1School of Mathematics and Computer, Chizhou University, Chizhou, Anhui, 247000, China.
2School of Mathematics and Physics, Anhui Jianzhu University, Hefei, 230601, China.
Abstract:

As an additive weight version of the Harary index, the reciprocal degree distance of a simple connected graph \(G\) is defined as \(RDD(G) = \sum\limits_{u,v \subseteq V(G)} \frac{d_G(u)+d_G(v)}{d_G(u,v)}\), where \(d_G(u)\) is the degree of \(u\) and \(d_G(u,v)\) is the distance between \(u\) and \(v\) in \(G\). In this paper, we respectively characterize the extremal graphs with the maximum \(RDD\)-value among all the graphs of order \(n\) with given number of cut vertices and cut edges. In addition, an upper bound on the reciprocal degree distance in terms of the number of cut edges is provided.

Bahattin Yilzid1, Zeynep Ödemis Özger2
1DEPARTMENT OF MATHEMaTiCs, FaTin University 34500 IsTanBuL, TURKEY
2DEPARTMENT OF ENGINEERING Sciences, izmir KAtip Cecest University, 35620 Izmir, TURKEY
Abstract:

In this work, linear codes over \(\mathbb{Z}_{2^s}\) are considered together with the extended Lee weight, which is defined as
\[w_L(a) = \begin{cases}
a & \text{if } a \leq 2^{s-1}, \\
2^s – x & \text{if } a > 2^{s-1}.
\end{cases}\]
The ideas used by Wilson and Yildiz are employed to obtain divisibility properties for sums involving binomial coefficients and the extended Lee weight. These results are then used to find bounds on the power of 2 that divides the number of codewords whose Lee weights fall in the same congruence class modulo \(2^e\). Comparisons are made with the results for the trivial code and the results for the homogeneous weight.

Guoping Wang1, Guangquan Guo1
1School of Mathematical Sciences, Xinjiang Normal University, Urumdi, Xinjiang 830054, P.R.China
Abstract:

In this paper we study the Laplacian spectral radius of bicyclic graphs with given independence number and characterize the extremal graphs completely.

Li Ma1, Hong Bian1, Bingjie Liu1, Haizheng Yu2
1School of Mathematical Science, Xinjiang Normal University, Urumai, Xinjiang, 830054, P. R. China
2 College of Mathematics and System Sciences, Xinjiang University, Urumgi, Xinjiang, 830046, P. R. China
Abstract:

In this paper, we obtain some analytical expressions and give two simple formulae for the expected values of the Wiener indices of the random Phenylene and Spiro hexagonal chains.

Xinying Pai1,2, Sanyang Liu1
1Department of Mathematics, Xidian University, Xi’an, Shanxi 710071, P. R. China
2 College of science, China University of Petroleum, Qingdao, Shandong 266580, P. R. China
Abstract:

Let \(G\) be a bicyclic graph. Bicyclic graphs are connected graphs in which the number of edges equals the number of vertices plus one. In this paper, we determine the graph with the maximal signless Laplacian spectral radius among all the bicyclic graphs with \(n\) vertices and diameter \(d\).

Hanyuan Deng1, S. Balachandran2, S.K. Ayyaswamy2, Y.B. Venkatakrishnan2
1College of Mathematics and Computer Science, Hunan Normal University, Changsha, Hunan 410081, P. R. China
2Department of Mathematics, School of Humanities and Sciences, SASTRA University, Tanjore, India
Abstract:

The harmonic index \(H(G)\) of a graph \(G\) is defined as the sum of the weights \(\frac{2}{d_u+ d_v}\) of all edges \(uv\) of \(G\), where \(d_u\) denotes the degree of a vertex \(u\) in \(G\). We determine the \(n\)-vertex trees with the second and third maximum harmonic indices for \(n \geq 7\), the fourth maximum harmonic index for \(n \geq 10\), and fifth maximum harmonic index for $n \geq 11\), and unicyclic graphs with the second and third maximum harmonic indices for \(n \geq 5\), the fourth maximum harmonic index for \(n \geq 7\), and fifth maximum harmonic index for \(n \geq 8\), and bicyclic graphs with the maximum harmonic index for \(n \geq 6\), the second and third maximum harmonic indices for \(n \geq 7\), and fourth maximum harmonic index for \(n \geq 9\).

Indra Rajasingh1, R.Sundara Rajan1
1 School of Advanced Sciences, VIT University, Chennai – 600 127, India
Abstract:

Graph embedding has been known as a powerful tool for implementation of parallel algorithms and simulation of different interconnection networks. In this paper, we obtain the minimum wirelength of embedding circulant networks into necklace and windmill graphs. The algorithms for obtaining the same are of \(O(2n)\)-linear time.

A.A. Karawia1
1Computer science unit, Deanship of educational services, Qassim University, P.O.Box 6595, Buraidah 51452, Saudi Arabia.
Abstract:

In this paper, a reliable symbolic computational algorithm is presented for inverting a general companion matrix by using parallel computing along with recursion. The computational cost of the algorithm is \(O(n^2)\). The algorithm is implementable to the Computer Algebra System (CAS) such as MAPLE, MATLAB, and MATHEMATICA. Three examples are presented for the sake of illustration.