Growth: A Journal of Mathematics and Mathematics Education
ISSN: xxxx-xxxx
Growth: A Journal of Mathematics and Mathematics Education aims to provide a publication platform for high quality undergraduate research in mathematics and in mathematical pedagogy. The technical scope of the journal is combinatorial mathematics, broadly interpreted—the editorial board will consider all submissions in their areas of interest. All submitted articles must have an undergraduate research component and must be certified by a senior researcher. All submissions will be peer reviewed according to standard practices in academic mathematics. Precise editorial policies are set by the editorial board.
- Research article
- https://doi.org/10.61091/ojac-1302
- Full Text
- Online Journal of Analytic Combinatorics
- Issue 13, 2018
- Pages: 1-7 (Paper #2)
- Published: 31/12/2018
Let \([k] = \{1, 2, \ldots, k\}\) be an alphabet over \(k\) letters. A word \(\omega\) of length \(n\) over alphabet \([k]\) is an element of \([k]^n\) and is also called \(k\)-ary word of length \(n\). We say that \(\omega\) contains a peak, if exists \(2 \leq i \leq n-1\) such that \(\omega_{i-1} \omega_{i+1}\). We say that \(\omega\) contains a symmetric peak, if exists \(2 \leq i \leq n-1\) such that \(\omega_{i-1} = \omega_{i+1} < \omega_i\), and contains a non-symmetric peak, otherwise. In this paper, we find an explicit formula for the generating functions for the number of \(k\)-ary words of length \(n\) according to the number of symmetric peaks and non-symmetric peaks in terms of Chebyshev polynomials of the second kind. Moreover, we find the number of symmetric and non-symmetric peaks in \(k\)-ary word of length \(n\) in two ways by using generating functions techniques, and by applying probabilistic methods.
- Research article
- https://doi.org/10.61091/ojac-1301
- Full Text
- Online Journal of Analytic Combinatorics
- Issue 13, 2018
- Pages: 1-7 (Paper #1)
- Published: 31/12/2018
- Research article
- Full Text
- Journal of Combinatorial Mathematics and Combinatorial Computing
- Volume 103
- Pages: 297-307
- Published: 30/11/2017
A graphic sequence \( \pi = (d_1, d_2, \ldots, d_n) \) is said to be potentially \( K_{1^3,4} \)-graphic if there is a realization of \( \pi \) containing \( K_{1^3,4} \) as a subgraph, where \( K_{1^3,4} \) is the \( 1 \times 1 \times 1 \times 4 \) complete 4-partite graph. In this paper, we characterize the graphic sequences potentially \( K_{1^3,4} \)-graphic and the result is simple. In addition, we apply this characterization to compute the values of \( \sigma( K_{1^3,4}, n) \).
- Research article
- Full Text
- Journal of Combinatorial Mathematics and Combinatorial Computing
- Volume 103
- Pages: 289-295
- Published: 28/05/2016
We show, using a hybrid analysis/linear algebra argument, that the diagonal vector of an infinite symmetric matrix over \(\mathbb{Z}_{2}\) is contained in the range of the matrix. We apply this result to an extension, to the countably infinite case, of the Lights Out problem.
- Research article
- Full Text
- Journal of Combinatorial Mathematics and Combinatorial Computing
- Volume 103
- Pages: 281-287
- Published: 30/11/2017
Given a distribution of pebbles on the vertices of a connected graph \( G \), a pebbling move on \( G \) consists of taking two pebbles off one vertex and placing one on an adjacent vertex. The \( t \)-pebbling number \( \pi_t(G) \) is the smallest positive integer such that for every distribution of \( \pi_t(G) \) pebbles and every vertex \( v \), \( t \) pebbles can be moved to \( v \). For \( t = 1 \), Graham conjectured that \( \pi_1(G \Box H) \leq \pi_1(G)\pi_1(H) \) for any connected graphs \( G \) and \( H \), where \( G \Box H \) denotes the Cartesian product of \( G \) and \( H \). Herscovici further conjectured that \( \pi_{st}(G \Box H) \leq \pi_s(G)\pi_t(H) \) for any positive integers \( s \) and \( t \). Lourdusamy [A. Lourdusamy, “\(t\)-pebbling the product of graphs”, Acta Ciencia Indica, XXXII(1)(2006), 171-176] also conjectured that \( \pi_t(C_m \Box C_n) \leq \pi_1(C_m)\pi_t(C_n) \) for cycles \( C_m \) and \( C_n \). In this paper, we show that \( \pi_{st}(C_m \Box C_n) \leq \pi_s(C_m)\pi_t(C_n) \), which confirms this conjecture due to Lourdusamy.
- Research article
- Full Text
- Journal of Combinatorial Mathematics and Combinatorial Computing
- Volume 103
- Pages: 267-280
- Published: 30/11/2017
The enhanced hypercube is basically a hypercube with additional edges augmented, where the additional edges connect all pairs of complementary nodes in the hypercube. Taking into account the minimal routing function and the structural properties of the enhanced hypercube, \( n+1 \) internal disjoint paths from one node to other distinct \( n+1 \) nodes have been constructed in an \( n \)-dimensional enhanced hypercube. The results can be used to provide an efficient and reliable routing to avoid congestion, accelerate transmission rate, and provide alternative transmission routes in enhanced hypercube networks, thus remarkably improving the performance of the interconnect networks.
- Research article
- Full Text
- Journal of Combinatorial Mathematics and Combinatorial Computing
- Volume 103
- Pages: 249-265
- Published: 30/11/2017
The newly introduced neighborhood matrix extends the power of adjacency and distance matrices to describe the topology of graphs. The adjacency matrix enumerates which pairs of vertices share an edge and it may be summarized by the degree sequence, a list of the adjacency matrix row sums. The distance matrix shows more information, namely the length of shortest paths between vertex pairs. We introduce and explore the neighborhood matrix, which we have found to be an analog to the distance matrix what the degree sequence is to the adjacency matrix. The neighbor matrix includes the degree sequence as its first column and the sequence of all other distances in the graph up to the graph’s diameter, enumerating the number of neighbors each vertex has at every distance present in the graph. We prove this matrix to contain eleven oft-used graph statistics and topological descriptors. We also provide insight into two applications that show potential utility of the neighbor matrix in comparing graphs and identifying topologically significant vertices in a graph.
- Research article
- Full Text
- Journal of Combinatorial Mathematics and Combinatorial Computing
- Volume 103
- Pages: 237-248
- Published: 30/11/2017
In this paper, for the Catalan-Larcombe-French sequence \( \{P_n\}_{n\geq0} \) and the Fennessey-Larcombe-French sequence \( \{V_n\}_{n\geq0} \), we mainly discuss the log-behavior of some sequences related to \( \{P_n\}_{n\geq0} \) and \( \{V_n\}_{n\geq0} \). For example, we study the log-behavior of some sequences such as \( \{P_n^2\}_{n\geq0} \), \( \{n!nV_n\}_{n\geq1} \), \( \{n!V_n\}_{n\geq0} \), and \( \{V_n-P_n\}_{n\geq2} \). In addition, we discuss the monotonicity of some sequences involving \( \{P_n\}_{n\geq0} \) and \( \{V_n\}_{n\geq0} \).
- Research article
- Full Text
- Journal of Combinatorial Mathematics and Combinatorial Computing
- Volume 103
- Pages: 255-236
- Published: 30/11/2017
A graph \( G \) of order \( |V(G)| \) and size \( |E(G)| \) is called edge-magic if there exists a bijection \( f : V(G) \cup E(G) \to \{1, 2, 3, \dots, |V(G)| + |E(G)|\} \) such that \( f(x) + f(xy) + f(y) \) is a constant for every edge \( xy \in E(G) \). An edge-magic graph \( G \) is said to be super if \( f(V(G)) = \{1, 2, 3, \dots, |V(G)|\} \). Furthermore, the edge-magic deficiency of a graph \( G \), denoted \( \mu(G) \), is defined as the minimum nonnegative integer \( n \) such that \( G \cup nK_1 \) is edge-magic. Similarly, the \emph{super edge-magic deficiency} of a graph \( G \), denoted \( \mu_s(G) \), is either the minimum nonnegative integer \( n \) such that \( G \cup nK_1 \) is super edge-magic or \( +\infty \) if there exists no such integer \( n \). In this paper, we investigate the (super) edge-magic deficiency of chain graphs. Based on these, we propose some open problems.
- Research article
- Full Text
- Journal of Combinatorial Mathematics and Combinatorial Computing
- Volume 103
- Pages: 211-224
- Published: 30/11/2017
Given a large finite point set, \( P \subset \mathbb{R}^2 \), we obtain upper bounds on the number of triples of points that determine a given pair of dot products. That is, for any pair of nonzero real numbers, \( (\alpha, \beta) \), we bound the size of the set \[ \{(p, q, r) \in P \times P \times P : p \cdot q = \alpha, p \cdot r = \beta\}. \]




