Ratio Mathematica Volume 45, 2023 Monophonic Distance Energy for Join of Some Graphs Sinju Manohar V S1 Binu Selin T2 Abstract Let 𝐺 be a connected graph with 𝑛 vertices and π‘š edges. Let Β΅1, Β΅2 ,..., Β΅n be the Eigen values of distance matrix of 𝐺. The distance energy of a graph ED (G) = βˆ‘ |πœ‡π‘– | 𝑝 𝑖=1 ,was already studied. We now define and investigate the monophonic distance energy as EM (G) = βˆ‘ |πœ‡π‘– 𝑀|𝑛𝑖=1 , where Β΅1 M, Β΅2 M..., Β΅n M are the eigen values of monophonic distance matrix of graphs. In this paper we find the monophonic distance energy for join of some graphs. Keywords: Join of graphs; Monophonic distance matrix; Monophonic distance energy. 2010 Mathematics Subject Classification: 05C12, 05B203. 1 Research Scholar, Reg No: 20113162092016, Department of Mathematics, Scott Christian College (Autonomous), Nagercoil - 629 003, India. (Affiliated to Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli-627 012, Tamil Nadu, India.). Email: sinjusinju2124@gmail.com 2 Assistant Professor, Department of Mathematics, Scott Christian College (Autonomous), Nagercoil - 629 003, India. (Affiliated to Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli-627 012, Tamil Nadu, India.). Email: binuselin@gmail.com 3 Received on July 19, 2022. Accepted on October 15, 2022. Published on January 30, 2023. doi: 10.23755/rm.v45i0.979. ISSN: 1592-7415. eISSN: 2282-8214. Β©The Authors. This paper is published under the CC-BY license agreement. 60 Sinju Manohar V S, Binu Selin T 1. Introduction In this paper we considered simple, connected and undirected graphs. The concept of energy of a graph was introduced by I. Gutman [2] in the year 1978. Let 𝐺 be a connected graph with 𝑛 vertices and π‘š edges. Let 𝐴 = (π‘Žπ‘–π‘— ) be the adjacency matrix of the graph. The eigenvalues Ξ»1, Ξ»2, ..., Ξ»n of A, assumed in non-increasing order, are the eigen values of the graph 𝐺. The energy 𝐸(𝐺) of 𝐺 is defined to be the sum of the absolute values of the eigen values of 𝐺. ie., 𝐸(𝐺) = βˆ‘ |πœ†π‘– |𝑛𝑖=1 . Also, Distance energy of a graph was introduced by I. Gutman and others [4] in the year 2008. A. P. Santhakumaran and others introduced the monophonic number of a graph in 2014 [8]. For any two vertices 𝑒 and 𝑣 in a connected graph𝐺, a 𝑒 βˆ’ 𝑣 path is a monophonic path if it contains no chords, and the monophonic distance 𝑑m(𝑒, 𝑣) is the length of a longest 𝑒 βˆ’ 𝑣 monophonic path in 𝐺. Based on these we introduce a new concept monophonic distance energy of a graph. Based on these we introduce a new concept monophonic distance energy of a graph. In this paper we investigate the monophonic distance energy of 𝐾1,𝑛 + 𝐾1,𝑛, 𝐾𝑛,𝑛 + 𝐾𝑛, 𝐾𝑛,𝑛 + 𝐾𝑛,𝑛 and 𝐾𝑛 + 𝐾1,𝑛. 2. Definitions Definition 2.1. Let 𝐺 be a connected graph with vertex set 𝑣1, 𝑣2, . . . , 𝑣n. The monophonic distance matrix of 𝐺 is defined as 𝑀 = 𝑀 [𝐺] = (π‘‘π‘šπ‘–π‘— ) 𝑛×𝑛 Where π‘‘π‘šπ‘–π‘— = { π‘‘π‘š (𝑣𝑖 , 𝑣𝑗 ), 𝑖𝑓 𝑖 β‰  j 0, π‘œπ‘‘β„Žπ‘’π‘Ÿπ‘€π‘–π‘ π‘’ . Here 𝑑m(𝑣i, 𝑣j) is the monophonic distance of 𝑣i to 𝑣j . The eigen values of Monophonic distance matrix 𝑀(𝐺) are denoted by Β΅1 M, Β΅2 M ..., Β΅n M and are said to be 𝑀-Eigen values of 𝐺 and to form the 𝑀-spectrum of 𝐺, denoted by 𝑠𝑝𝑒𝑐M (𝐺). We note that since the Monophonic distance matrix is symmetric, its eigen values are real and can be ordered as Β΅1 M ≀ Β΅2 M ≀ ... ≀ Β΅n M. We can define the monophonic distance energy of a graph as 𝐸M(𝐺) = βˆ‘ |πœ‡π‘– 𝑀|𝑛𝑖=1 . 3. Main Results Definition 3.1. [3] The join 𝐺 = 𝐺1 + 𝐺2 of graphs 𝐺1 and 𝐺2 with disjoint point sets 𝑉1 and 𝑉2 and edge sets 𝑋1 and 𝑋2 is the graph union 𝐺1 βˆͺ 𝐺2 together with all the edges joining 𝑉1 and 𝑉2. Theorem 3.2. For the Star graph 𝐾1,𝑛, 𝐸𝑀(𝐾1,𝑛 + 𝐾1,𝑛) = 5(𝑛 βˆ’ 1) + √9𝑛 2 βˆ’ 2𝑛 + 9. Proof. From the definition of join, the monophonic distance matrix of 𝐾1,𝑛 + 𝐾1,𝑛 can be written as 61 Monophonic Distance Energy for Join of Some Graphs 𝑀(𝐾1,𝑛 + 𝐾1,𝑛) = [ 𝑀(𝐾1,𝑛) 𝐽𝑛 𝐽𝑛 𝑀(𝐾1,𝑛) ] where 𝑀(𝐾1,𝑛) be a monophonic distance matrix of 𝐾1,𝑛. We have 𝑀(𝐾1,𝑛 + 𝐾1,𝑛) = (π‘‘π‘šπ‘–π‘— )2(𝑛+1)Γ—2(𝑛+1). The monophonic distance spectrum 𝑆𝑝𝑒𝑐M (𝐾1,𝑛 + 𝐾1,𝑛) is ( βˆ’2 βˆ’1 (3𝑛 βˆ’ 1) βˆ’ √9𝑛2 βˆ’ 2𝑛 + 9 2 (𝑛 βˆ’ 1) 1 1 (𝑛 βˆ’ 2) (3𝑛 βˆ’ 1) + √9𝑛2 βˆ’ 2𝑛 + 9 2 1 1 ). Thus the monophonic distance energy of 𝐾1,𝑛 + 𝐾1,𝑛 is 𝐸M(𝐾1,𝑛 + 𝐾1,𝑛) = βˆ‘ |πœ‡π‘– 𝑀| 2(𝑛+1) 𝑖=1 ,where πœ‡1 𝑀, πœ‡2 𝑀 , … , πœ‡2(𝑛+1) 𝑀 are the eigen values of monophonic distance matrix 𝑀(𝐾1,𝑛 + 𝐾1,𝑛). For 𝑛 > 1, 𝐸M(𝐾1,𝑛 + 𝐾1,𝑛) = |βˆ’2| + |βˆ’2| + β‹― + |βˆ’2| + |βˆ’1| + | (3𝑛 βˆ’ 1) βˆ’ √9𝑛2 βˆ’ 2𝑛 + 9 2 | + |(𝑛 βˆ’ 2)| + | (3𝑛 βˆ’ 1) + √9𝑛2 βˆ’ 2𝑛 + 9 2 | = 2 (2(𝑛 βˆ’ 1) + 1 βˆ’ (3𝑛 βˆ’ 1) + √9𝑛2 βˆ’ 2𝑛 + 9 2 + (𝑛 βˆ’ 2) + (3𝑛 βˆ’ 1) + √9𝑛2 βˆ’ 2𝑛 + 9 2 = 5(𝑛 βˆ’ 1) + √9𝑛2 βˆ’ 2𝑛 + 9. Theorem 3.3. For the complete bipartite graph 𝐾𝑛,𝑛 and complete graph 𝐾𝑛, 𝐸𝑀(𝐾𝑛,𝑛 + 𝐾𝑛) = { (6𝑛 βˆ’ 7) + √12𝑛2 βˆ’ 4𝑛 + 1 𝑖𝑓 1 ≀ 𝑛 ≀ 4 10(𝑛 βˆ’ 1) 𝑖𝑓 𝑛 β‰₯ 5 . Proof. From the definition of join, the monophonic distance matrix of 𝐾𝑛,𝑛 + 𝐾𝑛 can be written as 𝑀(𝐾𝑛,𝑛 + 𝐾𝑛) = [ 𝑀(𝐾𝑛,𝑛) 𝐽2𝑛,𝑛 𝐽𝑛,2𝑛 𝑀(𝐾𝑛) ] where 𝑀(𝐾𝑛,𝑛) be a monophonic distance matrix of 𝐾𝑛,𝑛 and M(𝐾𝑛) be a monophonic distance matrix of 𝐾𝑛. We have 𝑀(𝐾𝑛,𝑛 + 𝐾𝑛) = (π‘‘π‘šπ‘–π‘— )3𝑛×3𝑛. The monophonic distance spectrum 𝑆𝑝𝑒𝑐M (𝐾𝑛,𝑛 + 𝐾𝑛) is ( βˆ’2 βˆ’1 (4𝑛 βˆ’ 3) βˆ’ √12𝑛2 βˆ’ 4𝑛 + 1 2 2(𝑛 βˆ’ 1) (𝑛 βˆ’ 1) 1 (4𝑛 βˆ’ 3) + √12𝑛2 βˆ’ 4𝑛 + 1 2 𝑛 βˆ’ 2 1 1 ). Thus the monophonic distance energy of 𝐾𝑛,𝑛 + 𝐾𝑛 is 62 Sinju Manohar V S, Binu Selin T 𝐸M(𝐾𝑛,𝑛 + 𝐾,𝑛) = βˆ‘ |πœ‡π‘– 𝑀|3𝑛𝑖=1 ,where πœ‡1 𝑀, πœ‡2 𝑀 , … , πœ‡3𝑛 𝑀 are the eigen values of monophonic distance matrix 𝑀(𝐾𝑛,𝑛 + 𝐾𝑛). For 1 ≀ 𝑛 ≀ 4, 𝐸M(𝐾𝑛,𝑛 + 𝐾𝑛) = |βˆ’2| + |βˆ’2| + β‹― + |βˆ’2| + |βˆ’1| + |βˆ’1| + β‹― + |βˆ’1| + | (4𝑛 βˆ’ 3) βˆ’ √12𝑛2 βˆ’ 4𝑛 + 1 2 | + | (4𝑛 βˆ’ 3) + √12𝑛2 βˆ’ 4𝑛 + 1 2 | + (𝑛 βˆ’ 2) = 2 (2(𝑛 βˆ’ 1) + (𝑛 βˆ’ 1) βˆ’ (4𝑛 βˆ’ 3) + √12𝑛2 βˆ’ 4𝑛 + 1 2 + (4𝑛 βˆ’ 3) + √12𝑛2 βˆ’ 4𝑛 + 1 2 + (𝑛 βˆ’ 2) = (6𝑛 βˆ’ 7) + √12𝑛2 βˆ’ 4𝑛 + 1 For 𝑛 β‰₯ 5, 𝐸M(𝐾𝑛,𝑛 + 𝐾𝑛) = |βˆ’2| + |βˆ’2| + β‹― + |βˆ’2| + |βˆ’1| + |βˆ’1| + β‹― + |βˆ’1| + | (4𝑛 βˆ’ 3) βˆ’ √12𝑛2 βˆ’ 4𝑛 + 1 2 | + | (4𝑛 βˆ’ 3) + √12𝑛2 βˆ’ 4𝑛 + 1 2 | + (𝑛 βˆ’ 2) = 2 (2(𝑛 βˆ’ 1) + (𝑛 βˆ’ 1) + (4𝑛 βˆ’ 3) βˆ’ √12𝑛2 βˆ’ 4𝑛 + 1 2 + (4𝑛 βˆ’ 3) + √12𝑛2 βˆ’ 4𝑛 + 1 2 + (n βˆ’ 2) = 10(𝑛 βˆ’ 1). Theorem 3.4. For the complete bipartite graph 𝐾𝑛,𝑛 , 𝐸𝑀(𝐾𝑛,𝑛 + 𝐾𝑛,𝑛) = { 2(5𝑛 βˆ’ 2) 𝑖𝑓 𝑛 = 1 16(𝑛 βˆ’ 1) 𝑖𝑓 𝑛 β‰₯ 2 . Proof. From the definition of join, the monophonic distance matrix of 𝐾𝑛,𝑛 + 𝐾𝑛,𝑛 can be written as 𝑀(𝐾𝑛,𝑛 + 𝐾𝑛,𝑛) = [ 𝑀(𝐾𝑛,𝑛) 𝐽2𝑛 𝐽2𝑛 𝑀(𝐾𝑛,𝑛) ] where 𝑀(𝐾𝑛,𝑛) be a monophonic distance matrix of 𝐾𝑛,𝑛 We have 𝑀(𝐾𝑛,𝑛 + 𝐾𝑛,𝑛) = (π‘‘π‘šπ‘–π‘— )4𝑛×4𝑛. The monophonic distance spectrum 𝑆𝑝𝑒𝑐M(𝐾𝑛,𝑛 + 𝐾𝑛,𝑛) is ( βˆ’2 (𝑛 βˆ’ 2) (5𝑛 βˆ’ 2) 4(𝑛 βˆ’ 1) 3 1 ). Thus the monophonic distance energy of 𝐾𝑛,𝑛 + 𝐾𝑛,𝑛 is 𝐸M(𝐾𝑛,𝑛 + 𝐾𝑛,𝑛) = βˆ‘ |πœ‡π‘– 𝑀|4𝑛𝑖=1 ,where πœ‡1 𝑀, πœ‡2 𝑀, … , πœ‡4𝑛 𝑀 are the eigen values of monophonic distance matrix 𝑀(𝐾𝑛,𝑛 + 𝐾𝑛,𝑛). For 𝑛 = 1, 63 Monophonic Distance Energy for Join of Some Graphs 𝐸M(𝐾𝑛,𝑛 + 𝐾𝑛,𝑛) = |βˆ’2| + |βˆ’2| + β‹― + |βˆ’2| + |𝑛 βˆ’ 2| + β‹― + |𝑛 βˆ’ 2| + |5𝑛 βˆ’ 2| = 2 (4(𝑛 βˆ’ 1) + 3(βˆ’π‘› + 2) + 5𝑛 βˆ’ 2 = 8𝑛 βˆ’ 8 βˆ’ 3𝑛 + 6 + 5𝑛 βˆ’ 2 = 10𝑛 βˆ’ 4 = 2(5𝑛 βˆ’ 2) For 𝑛 β‰₯ 2, 𝐸M(𝐾𝑛,𝑛 + 𝐾𝑛,𝑛) = |βˆ’2| + |βˆ’2| + β‹― + |βˆ’2| + |𝑛 βˆ’ 2| + β‹― + |𝑛 βˆ’ 2| + |5𝑛 βˆ’ 2| = 2 (4(𝑛 βˆ’ 1) + 3(𝑛 βˆ’ 2) + 5𝑛 βˆ’ 2 = 8𝑛 βˆ’ 8 + 3𝑛 βˆ’ 6 + 5𝑛 βˆ’ 2 = 16𝑛 βˆ’ 16 = 16(𝑛 βˆ’ 1). Theorem 3.5. For the star graph 𝐾1,𝑛 and complete graph 𝐾𝑛, 𝐸𝑀(𝐾𝑛 + 𝐾1,𝑛) = { (3𝑛 βˆ’ 2) + √5𝑛2 + 4 𝑖𝑓 𝑛 ≀ 2 2(3𝑛 βˆ’ 2) 𝑖𝑓 𝑛 β‰₯ 3 . Proof. . From the definition of join, the monophonic distance matrix of 𝐾𝑛 + 𝐾1,𝑛 can be written as 𝑀(𝐾𝑛 + 𝐾1,𝑛) = [ 𝑀(𝐾𝑛) 𝐽𝑛,𝑛+1 𝐽𝑛+1,𝑛 𝑀(𝐾1,𝑛) ] where 𝑀(𝐾1,𝑛) be a monophonic distance matrix of 𝐾1,𝑛 and M(𝐾𝑛) be a monophonic distance matrix of 𝐾𝑛. We have 𝑀(𝐾𝑛 + 𝐾1,𝑛) = (π‘‘π‘šπ‘–π‘— )(2𝑛+1)Γ—(2𝑛+1). The monophonic distance spectrum 𝑆𝑝𝑒𝑐M (𝐾𝑛,𝑛 + 𝐾𝑛) is ( βˆ’2 βˆ’1 (3𝑛 βˆ’ 2) βˆ’ √5𝑛2 + 4 2 (𝑛 βˆ’ 1) 𝑛 1 (3𝑛 βˆ’ 2) + √5𝑛2 + 4 2 1 ). Thus the monophonic distance energy of 𝐾𝑛 + 𝐾1,𝑛 is 𝐸M(𝐾𝑛 + 𝐾1,𝑛) = βˆ‘ |πœ‡π‘– 𝑀|2𝑛+1𝑖=1 ,where πœ‡1 𝑀, πœ‡2 𝑀 , … , πœ‡2𝑛+1 𝑀 are the eigen values of monophonic distance matrix 𝑀(𝐾𝑛 + 𝐾1,𝑛). For 𝑛 ≀ 2, 𝐸M(𝐾𝑛 + 𝐾1,𝑛) = |βˆ’2| + |βˆ’2| + β‹― + |βˆ’2| + |βˆ’1| + |βˆ’1| + β‹― + |βˆ’1| + | (3𝑛 βˆ’ 2) βˆ’ √5𝑛2 + 4 2 | + | (3𝑛 βˆ’ 2) + √5𝑛2 + 4 2 | = 2 (𝑛 βˆ’ 1) + 𝑛 βˆ’ (3𝑛 βˆ’ 2) + √5𝑛2 + 4 2 + (3𝑛 βˆ’ 2) + √5𝑛2 + 4 2 = 2𝑛 βˆ’ 2 + 𝑛 + √5𝑛2 + 4 = (3𝑛 βˆ’ 2) + √5𝑛2 + 4. For 𝑛 β‰₯ 5, 𝐸M(𝐾𝑛 + 𝐾1,𝑛) = |βˆ’2| + |βˆ’2| + β‹― + |βˆ’2| + |βˆ’1| + |βˆ’1| + β‹― + |βˆ’1| 64 Sinju Manohar V S, Binu Selin T + | (3𝑛 βˆ’ 2) βˆ’ √5𝑛2 + 4 2 | + | (3𝑛 βˆ’ 2) + √5𝑛2 + 4 2 | = 2 (𝑛 βˆ’ 1) + 𝑛 + (3𝑛 βˆ’ 2) βˆ’ √5𝑛2 + 4 2 + (3𝑛 βˆ’ 2) + √5𝑛2 + 4 2 = 2𝑛 βˆ’ 2 + 𝑛 + 3𝑛 βˆ’ 2 = 6𝑛 βˆ’ 4 = 2(3𝑛 βˆ’ 2). 4. 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