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Article

Super-Connectivity of the Folded Locally Twisted Cube

1
School of Information Engineering, Suzhou Industrial Park Institute of Services Outsourcing, Suzhou 215123, China
2
Suzhou Industrial Park Human Resources Development Co., Ltd., Suzhou 215028, China
3
Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou 215006, China
4
School of Computer Science and Technology, Soochow University, Suzhou 215006, China
*
Author to whom correspondence should be addressed.
Symmetry 2023, 15(7), 1349; https://doi.org/10.3390/sym15071349
Submission received: 19 June 2023 / Revised: 28 June 2023 / Accepted: 29 June 2023 / Published: 2 July 2023
(This article belongs to the Special Issue Symmetry in Algorithmic Graph Theory and Interconnection Networks)

Abstract

:
The hypercube Q n is one of the most popular interconnection networks with high symmetry. To reduce the diameter of Q n , many variants of Q n have been proposed, such as the n-dimensional locally twisted cube L T Q n . To further optimize the diameter of L T Q n , the n-dimensional folded locally twisted cube F L T Q n is proposed, which is built based on L T Q n by adding 2 n 1 complementary edges. Connectivity is an important indicator to measure the fault tolerance and reliability of a network. However, the connectivity has an obvious shortcoming, in that it assumes all the adjacent vertices of a vertex will fail at the same time. Super-connectivity is a more refined index to judge the fault tolerance of a network, which ensures that each vertex has at least one neighbor. In this paper, we show that the super-connectivity κ ( 1 ) ( F L T Q n ) = 2 n for any integer n 6 , which is about twice κ ( F L T Q n ) .

1. Introduction

High-performance computers can be widely used in many fields thanks to the development of high performance computing technology. The topological properties of interconnection networks are very important for high-performance computers. One typically uses an undirected graph G = ( V ( G ) , E ( G ) ) to model the topology of a multiprocessor system H, where the processor set of H is represented by V ( G ) and the link set of H is represented by E ( G ) .
Interconnection networks have many important properties, one of which is the connectivity denoted by κ ( G ) . A graph’s connectivity is the minimum number of vertices whose removal makes the graph disconnected or trivial [1]. Connectivity is an important indicator to measure the fault tolerance and reliability of a network. In a large interconnection network, each vertex has a large number of neighbors. This property has an obvious deficiency, in that it assumes that all the adjacent vertices of a vertex will fail at the same time. However, this situation does not happen frequently in real networks. To address this deficiency, Esfahanian et al. [2] introduced the concept of restricted connectivity by imposing additionally restricted conditions on a network. Super-connectivity is a special case of restricted connectivity. When determing the super-connectivity of a network, one needs to ensure that each vertex has at least one neighbor. Hence, super-connectivity is a more refined index to judge the fault tolerance of a network.
Let K be a subset of V ( G ) . G K (or G K ) denotes a graph obtained by removing all the vertices in K and edges incident to at least one vertex in K from G. If G K is disconnected and each component of G K has at least two vertices, then K is called a super vertex cut. Let S be a subset of E ( G ) . If G S is disconnected and each component of G S has at least two vertices, then S is called a super edge cut. The super-connectivity of G (or, respectively, the super edge connectivity), denoted by κ ( 1 ) ( G ) (or λ ( 1 ) ( G ) ), is the minimum cardinality of all super vertex cuts (or super edge cuts) in G, if any exist. Many relevant results have been obtained regarding super-connectivity and super edge connectivity [3,4,5,6,7,8,9,10,11,12,13,14,15,16].
The hypercube Q n has become one of the most popular interconnection networks, because of its many attractive properties, such as its regularity and symmetry. Q n is a Cayley graph and hence vertex-transitive and edge-transitive. However, the diameter of Q n is not optimal. In order to enhance the hypercube, researchers have proposed many variants, such as crossed cubes [17], locally twisted cubes [18], and spined cubes [19]. The n-dimensional locally twisted cube L T Q n was proposed by Yang et al. [18], whose diameter was only about half that of Q n . Many research results have been published on the properties of L T Q n [20,21,22,23,24,25]. L T Q n is vertex-transitive if and only if n 3 , and it is edge-transitive if and only if n = 2 [25]. To further enhance the hypercube, inspired by the folded cube [26], Peng et al. [27] proposed a new network topology called the folded locally twisted cube F L T Q n . So far there, no work has been reported on the super-connectivity of F L T Q n . In this work, we studied the super-connectivity of F L T Q n and obtained the result that the super-connectivity κ ( 1 ) ( F L T Q n ) is 2 n for n 6 , which is about twice κ ( F L T Q n ) .

2. Preliminaries

In this paper, we use the terms vertex and node interchangeably. We also use ( x , y ) to denote an edge between vertices x and y. For any vertex x V ( G ) , the neighboring set of x is denoted by N G ( x ) = { y | ( x , y ) E ( G ) } (or N ( x ) for short). Let S V ( G ) . The neighboring set of S is defined as N G ( S ) = ( x S N ( x ) ) S (or N ( S ) for short). We define N G [ S ] = x S N ( x ) and N G [ x ] = N G ( x ) { x } . We use x n x n 1 x 2 x 1 to represent a binary string μ of length n, where x i { 0 , 1 } for 1 i n is a part of μ . x 1 is the first part of μ , and x n is the nth part of μ . The symbol x ¯ i is used to represent the complement of x i . As a variant of Q n , L T Q n has the same number of vertices as Q n . Each vertex of L T Q n is denoted by a unique binary string of length n. The definition of L T Q n is given below.
Definition 1
([18]). For n 2 , an n-dimensional locally twisted cube, L T Q n , is defined recursively as follows:
(1) L T Q 2 is a graph consisting of four nodes labeled with 00, 01, 10, and 11, which are connected by four edges, (00, 01), (00, 10), (01, 11), and (10, 11).
(2) For n 3 , L T Q n is built from two disjointed copies of L T Q n 1 named L T Q n 1 0 and L T Q n 1 1 . Let L T Q n 1 0 (or, respectively, L T Q n 1 1 ) be the graph obtained by prefixing the label of each node of one copy of L T Q n 1 with 0 (or with 1); each node x = 0 x n 1 x n 2 x 2 x 1 of L T Q n 1 0 is connected to the node 1 ( x n 1 + x 1 ) x n 2 x 2 x 1 of L T Q n 1 1 with an edge, where + represents modulo 2 addition.
L T Q 3 and L T Q 4 are demonstrated in Figure 1. Each node in L T Q n 1 0 has only one adjacent node in L T Q n 1 1 . The set of edges between L T Q n 1 0 and L T Q n 1 1 is called a perfect matching M of L T Q n . Hence, we can write L T Q n = G ( L T Q n 1 0 , L T Q n 1 1 , M ) . In [18], Yang et al. also provided a non-recursive definition of L T Q n .
Definition 2
([18]). Let μ = x n x n 1 x 1 and ν = y n y n 1 y 1 be any two distinct vertices of L T Q n for n 2 . μ and ν are connected if and only if one of the following conditions is satisfied:
1. There is an integer 3 k n such that
(a) x k = y ¯ k ;
(b) x k 1 = y k 1 + x 1 ( + represents modulo 2 addition);
(c) all the remaining bits of μ and ν are the same.
2. There is an integer 1 k 2 such that μ and ν only differ in the kth bit.
Let μ = x n x n 1 x n 2 x 3 x 2 x 1 be any vertex of L T Q n . By Definition 2, all the n neighbors of μ are listed as follows:
μ 1 = x n x n 1 x n 2 x 3 x 2 x ¯ 1 ;
μ 2 = x n x n 1 x n 2 x 3 x ¯ 2 x 1 ;
μ 3 = x n x n 1 x n 2 x ¯ 3 ( x 2 + x 1 ) x 1 ;
μ n 1 = x n x ¯ n 1 ( x n 2 + x 1 ) x n 3 x 2 x 1 ;
μ n = x ¯ n ( x n 1 + x 1 ) x n 2 x 3 x 2 x 1 .
We call μ i the ith dimensional neighbor of μ for 1 i n .
Definition 3
([27]). For any integer n 2 , an n-dimensional folded locally twisted cube, denoted by F L T Q n , is a graph constructed based on L T Q n by adding all complementary edges. Each vertex x = x n x n 1 x 1 in L T Q n is incident to another vertex x ¯ = x ¯ n x ¯ n 1 x ¯ 1 through a complementary edge, where x ¯ i = 1 x i .
We call the added complementary edges c-links. F L T Q n has 2 n 1 c-links, and each vertex μ = x n x n 1 x 1 is connected to a complementary vertex μ c = x ¯ n x ¯ n 1 x ¯ 1 by a c-link. The set of complementary edges between L T Q n 1 0 and L T Q n 1 1 is a perfect matching C of F L T Q n . Hence, we can write F L T Q n = G ( L T Q n 1 0 , L T Q n 1 1 , M , C ) or G ( L T Q n , C ) . Each node μ V ( F L T Q n ) in L T Q n 1 0 (or, respectively, L T Q n 1 1 ) has two neighbors, μ n and μ c , in L T Q n 1 1 (or L T Q n 1 0 ) for n 3 . Compared with L T Q n , each vertex in F L T Q n has one more neighbor. Then, the node degree of F L T Q n is n + 1 and κ ( F L T Q n ) = n + 1 [27]. Figure 2 demonstrates F L T Q 3 and F L T Q 4 , respectively, and Figure 3 demonstrates F L T Q 5 .

3. Super Connectivity of FLTQ n

In this section, we study the super connectivity of F L T Q n for any integer n 6 . Since F L T Q n is composed of L T Q n and the complementary edge set C, we can use some properties of L T Q n to prove the super-connectivity property of F L T Q n .
Lemma 1
([18]). For n 2 , κ ( L T Q n ) = λ ( L T Q n ) = n .
Lemma 2
([28]). For any two vertices μ, ν V ( L T Q n ) ( n 2 ), we have | N L T Q n ( μ ) N L T Q n ( ν ) | 2 .
Lemma 3
([28]). Let μ and ν be any two distinct vertices in L T Q n ( n 4 ) such that | N L T Q n ( μ ) N L T Q n ( ν ) | = 2 .
(1) If μ V ( L T Q n 1 0 ) and ν V ( L T Q n 1 1 ) , then the one common neighbor is in L T Q n 1 0 , and the other one is in L T Q n 1 1 .
(2) If μ, ν V ( L T Q n 1 0 ) or V ( L T Q n 1 1 ) , then the two common neighbors are in L T Q n 1 0 or L T Q n 1 1 .
Lemma 4.
Let μ and ν be any two distinct vertices in the same L T Q n 1 i for 0 i 1 and n 6 . If μ n = ν c or μ c = ν n , then | N F L T Q n ( μ ) N F L T Q n ( ν ) | = 1 .
Proof. 
Without loss of generality, we suppose that μ , ν V ( L T Q n 1 0 ) , and μ n = ν c . Then, μ n is the common neighbor for μ and ν . Let μ = x n x n 1 x n 2 x 3 x 2 x 1 and X = F L T Q n { μ n } . Next, we consider the neighbors of μ and ν in X according to different values of the first part x 1 of μ .
Case 1. x 1 = 0 .
μ n = x ¯ n x n 1 x n 2 x 3 x 2 0 = ν c and ν = x n x ¯ n 1 x ¯ n 2 x ¯ 3 x ¯ 2 1 . We list N X ( μ ) and N X ( ν ) separately in Table 1.
It is obvious that | N X ( μ ) N X ( ν ) | = 0 .
Case 2. x 1 = 1 .
μ n = x ¯ n x ¯ n 1 x n 2 x 3 x 2 1 = ν c and ν = x n x n 1 x ¯ n 2 x ¯ 3 x ¯ 2 0 . We list N X ( μ ) and N X ( ν ) separately in Table 2.
It is obvious that | N X ( μ ) N X ( ν ) | = 0 .
Hence, μ and ν have only one common neighbor in F L T Q n and | N F L T Q n ( μ ) N F L T Q n ( ν ) | = 1 . □
Lemma 5.
Let μ be any node in F L T Q n , where n 6 and X = F L T Q n { μ } . Then, | N X ( μ n ) N X ( μ c ) | = 0 .
Proof. 
Let μ = x n x n 1 x n 2 x 3 x 2 x 1 . We consider the different values of the first part x 1 of μ .
Case 1. x 1 = 0 .
Let α = μ n = x ¯ n x n 1 x n 2 x 3 x 2 0 and β = μ c = x ¯ n x ¯ n 1 x ¯ n 2 x ¯ 3 x ¯ 2 1 . All the neighbors of α and β in X are listed separately in Table 3.
It is obvious that N X ( α ) N X ( β ) = .
Case 2. x 1 = 1 .
Let α = μ n = x ¯ n x ¯ n 1 x n 2 x 3 x 2 1 and β = μ c = x ¯ n x ¯ n 1 x ¯ n 2 x ¯ 3 x ¯ 2 0 . All the neighbors of α and β in X are listed separately in Table 4.
It is obvious that N X ( α ) N X ( β ) = .
Hence, | N X ( μ n ) N X ( μ c ) | = 0 . □
Lemma 6.
Let μ, ν V ( F L T Q n ) where n 6 . Then | N F L T Q n ( μ ) N F L T Q n ( ν ) | 2 .
Proof. 
Since F L T Q n is constructed from L T Q n by adding the complementary edge set C, we can study this lemma based on L T Q n .
Case 1. μ , ν are in the same L T Q n 1 i for 0 i 1 .
Without loss of generality, we suppose that μ , ν V ( L T Q n 1 0 ) . According to Lemmas 2 and 3, | N L T Q n ( μ ) N L T Q n ( ν ) | 2 for n 6 , and the two common neighbors are in L T Q n 1 0 . According to the definition of F L T Q n , we have N L T Q n 1 1 ( μ ) = { μ n , μ c } , N L T Q n 1 1 ( ν ) = { ν n , ν c } , μ n ν n , and μ c ν c . If μ c ν n and μ n ν c , then μ and ν do not have the same neighbors in L T Q n 1 1 . Hence, | N F L T Q n ( μ ) N F L T Q n ( ν ) | 2 . According to Lemma 4, if μ c = ν n or μ n = ν c , then μ and ν have only one common neighbor in F L T Q n and | N F L T Q n ( μ ) N F L T Q n ( ν ) | = 1 2 .
Case 2. μ and ν are in a different L T Q n 1 i for 0 i 1 .
Without loss of generality, we suppose that μ V ( L T Q n 1 0 ) and ν V ( L T Q n 1 1 ) . According to Lemma 2, | N L T Q n ( μ ) N L T Q n ( ν ) | 2 . Based on the definition of F L T Q n , we have N L T Q n 1 1 ( u ) = { u n , u c } and N L T Q n 1 0 ( v ) = { v n , v c } . According to Lemma 5, | N F L T Q n { μ } ( μ n ) N F L T Q n { μ } ( μ c ) | = 0 and | N F L T Q n { ν } ( ν n ) N F L T Q n { ν } ( ν c ) | = 0 . Hence, we cannot find a vertex μ V ( L T Q n 1 1 ) , where μ and μ V ( L T Q n 1 0 ) have two common neighbors, nor can we find a vertex ν V ( L T Q n 1 0 ) , where ν and ν V ( L T Q n 1 1 ) have two common neighbors. Then, u and v cannot have three or four common neighbors in F L T Q n . Hence, | N F L T Q n ( μ ) N F L T Q n ( ν ) | 2 . □
Lemma 7
([28]). If μ and ν are two vertices of L T Q n and ( μ , ν ) E ( L T Q n ) , where n 2 , then | N L T Q n ( μ ) N L T Q n ( ν ) | = 0 .
Lemma 8.
If μ and ν are two vertices of F L T Q n and ( μ , ν ) E ( F L T Q n ) , where n 3 , then | N F L T Q n ( μ ) N F L T Q n ( ν ) | = 0 .
Proof. 
According to the position of μ and ν , we consider two cases.
Case 1. μ and ν are in the same L T Q n 1 i for 0 i 1 .
Without loss of generality, we assume that μ , ν V ( L T Q n 1 0 ) . According to Lemma 7, | N L T Q n 1 0 ( μ ) N L T Q n 1 0 ( ν ) | = 0 . We have N L T Q n 1 1 ( μ ) = { μ n , μ c } and N L T Q n 1 1 ( ν ) = { ν n , ν c } . If N L T Q n 1 1 ( μ ) N L T Q n 1 1 ( ν ) = , then | N F L T Q n ( μ ) N F L T Q n ( ν ) | = 0 . Otherwise, if μ n = ν c or μ c = ν n , then we let μ = x n x n 1 x n 2 x 3 x 2 x 1 . All the possible values of μ and ν are listed in Table 5.
It is obvious that ( μ , ν ) E ( F L T Q n ) ; then, we reach a contradiction, and all these values of μ and ν are impossible. Hence, | N F L T Q n ( μ ) N F L T Q n ( ν ) | = 0 .
Case 2. μ and ν are in a different L T Q n 1 i for 0 i 1 .
Without loss of generality, we assume that μ V ( L T Q n 1 0 ) and ν V ( L T Q n 1 1 ) . Since ( μ , ν ) E ( F L T Q n ) , ν should be μ n or μ c . If μ n = ν , let K = { μ , ν , μ c , ν c } . Otherwise, If μ c = ν , let K = { μ , ν , μ n , ν n } . Let μ = x n x n 1 x n 2 x 3 x 2 x 1 . All the possible values of K are listed in Table 6.
Since ( μ c , ν ) , ( μ , ν c ) E ( F L T Q n ) when μ n = ν and ( μ n , ν ) , ( μ , ν n ) E ( F L T Q n ) , when μ c = ν , μ and ν do not have common neighbors. Hence, | N F L T Q n ( μ ) N F L T Q n ( ν ) | = 0 . □
Lemma 9.
Let μ be any node in L T Q n for any integer n 3 . Then, L T Q n N L T Q n [ μ ] is connected.
Proof. 
We use mathematical induction on n to prove this lemma. According to Lemma 1, we know that this lemma obviously holds when n = 3 . Suppose that this lemma holds for n k ( k 3 ) . Let μ be any node in L T Q k + 1 . Without loss of generality, we suppose that μ V ( L T Q k 0 ) . Then, by the induction hypothesis, L T Q k 0 N L T Q k 0 [ μ ] is connected. Since N L T Q k 1 ( μ ) = { μ k + 1 } , according to Lemma 1, L T Q k 1 { μ k + 1 } is connected. Since each node in L T Q k 0 is connected to a node in L T Q k 1 , L T Q k 0 N L T Q k 0 [ μ ] is connected to L T Q k 1 { μ k + 1 } . Then, L T Q k + 1 N L T Q k + 1 [ μ ] is connected. Hence, this lemma holds. □
Since κ ( 1 ) ( F L T Q n ) is the minimum cardinality of all super vertex cuts in F L T Q n , to obtain the upper bound of κ ( 1 ) ( F L T Q n ) , we just need to find a super vertex cut F. Then, we have κ ( 1 ) ( F L T Q n ) | F | . If we can prove that F L T Q n is connected after removing | F | 1 vertices, then we have the lower bound κ ( 1 ) ( F L T Q n ) | F | . With these two results, we can obtain κ ( 1 ) ( F L T Q n ) = | F | . In the following, we will present two important lemmas to prove the upper bound and lower bound of κ ( 1 ) ( F L T Q n ) .
Lemma 10.
κ ( 1 ) ( F L T Q n ) 2 n for any integer n 6 .
Proof. 
Consider an edge ( x , y ) E ( F L T Q n ) . Let F = { x , y } . Then, F L T Q n N F L T Q n ( F ) is disconnected, and the edge ( x , y ) is one component of F L T Q n N F L T Q n ( F ) . According to Lemma 8, | N F L T Q n ( F ) | = ( n + 1 ) + ( n + 1 ) 2 = 2 n . Let K = F L T Q n N F L T Q n [ F ] . To prove that N F L T Q n ( F ) is a super vertex cut, we need to show that each vertex α V ( K ) has at least one neighbor. According to Lemma 6, | N F L T Q n ( α ) N F L T Q n ( x ) | 2 and | N F L T Q n ( α ) N F L T Q n ( y ) | 2 . Since κ ( F L T Q n ) = n + 1 and n + 1 2 2 1 for n 6 , α has at least one neighbor in K. Hence, N F L T Q n ( F ) is a super vertex cut and κ ( 1 ) ( F L T Q n ) 2 n for n 6 . □
Lemma 11.
κ ( 1 ) ( F L T Q n ) 2 n for n 6 .
Proof. 
Suppose that F is a super vertex cut of F L T Q n . Then, F L T Q n F is disconnected, and each vertex in F L T Q n F has at least one neighbor. To prove κ ( 1 ) ( F L T Q n ) 2 n , we will show that F L T Q n F is connected when | F | 2 n 1 . Let F i = F L T Q n 1 i for 0 i 1 , K 0 = L T Q n 1 0 F 0 , and K 1 = L T Q n 1 1 F 1 . Without loss of generality, we suppose that | F 0 | | F 1 | . Then, | F 1 | n 1 .
Case 1. K 1 is connected.
Let α be any node in K 0 . We have N L T Q n 1 1 ( α ) = { α n , α c } . If | N L T Q n 1 1 ( α ) F 1 | 1 , then α is connected to K 1 . Since K 1 is connected, then K 0 K 1 is connected, which means that F L T Q n F is connected. Otherwise, since each vertex in F L T Q n F has at least one neighbor, there must be a vertex β K 0 such that ( α , β ) E ( K 0 ) . We have N L T Q n 1 1 ( β ) = { β n , β c } . If | N L T Q n 1 1 ( β ) F 1 | 1 , then α can be connected to K 1 through vertex β , and F L T Q n F is connected. Otherwise, we have { α n , α c , β n , β c } F 1 , | F 1 | 4 , and | F 0 | 2 n 5 . Let Y = N L T Q n 1 0 ( α ) N L T Q n 1 0 ( β ) { α , β } . According to Lemma 8, | Y | = ( n 1 ) + ( n 1 ) 2 = 2 n 4 . Since | F 0 | 2 n 5 , we can find at least one vertex γ Y such that α and β are connected to K 1 through γ . Hence, F L T Q n F is connected.
Case 2. K 1 is disconnected.
According to Lemma 1, we have κ ( L T Q n 1 ) = n 1 . Since K 1 is disconnected, then | F 1 | = n 1 and | F 0 | = n . There should be an isolated vertex ω in K 1 and F 1 = N L T Q n 1 1 ( ω ) . According to Lemma 9, L T Q n 1 1 N L T Q n 1 1 [ ω ] is connected. For any vertex α in K 0 where ( α , ω ) E ( F L T Q n ) , based on Lemma 8, α and ω do not have common neighbors. Then, there exists a neighbor α of α in L T Q n 1 such that α N L T Q n 1 1 [ ω ] . Hence, α is connected to L T Q n 1 1 N L T Q n 1 1 [ ω ] through α . For any vertex α in K 0 where ( α , ω ) E ( F L T Q n ) , there must exist a neighbor β in K 0 . Let Y = N L T Q n 1 0 ( α ) N L T Q n 1 0 ( β ) . According to Lemma 8, | Y | = ( n 1 ) + ( n 1 ) = 2 n 2 . Since | F 0 | = n , we can find at least n 2 vertices in Y connected to L T Q n 1 1 . Since there exist two neighbors in L T Q n 1 1 for each vertex in Y and 2 n 4 > n 1 when n 6 , we can find a vertex γ in Y such that α and β are connected to L T Q n 1 1 N L T Q n 1 1 [ ω ] through γ . Hence, F L T Q n F is connected.
Thus, F L T Q n F is connected when | F | 2 n 1 and κ ( 1 ) ( F L T Q n ) 2 n for any integer n 6 . □
According to Lemmas 10 and 11, we obtain the following result:
Theorem 1.
κ ( 1 ) ( F L T Q n ) = 2 n for n 6 .

4. Conclusions

The folded locally twisted cube F L T Q n was introduced based on the locally twisted cube L T Q n and the folded hypercube F Q n . In this paper, we studied the super-connectivity of folded locally twisted cubes, which is an important indicator to measure the fault tolerance and reliability of a network. The main contribution of this work was that we addressed the super-connectivity of F L T Q n . We proved that κ ( 1 ) ( F L T Q n ) = 2 n for any integer n 6 . Independent spanning trees and mesh embedding could be considered as future research directions. Independent spanning trees could be applied to reliable communication protocols, reliable broadcasting, and so on [29]. Meshes are fundamental guest graphs on which many algorithms, such as linear algebra algorithms and combinatorial algorithms, can be efficiently performed [30]. The results of independent spanning trees and mesh embedding for F L T Q n could be compared with the results of L T Q n [31,32].

Author Contributions

Conceptualization, L.Y.; methodology, Y.H.; investigation, J.J.; writing—original draft preparation, L.Y. and J.J.; writing—review and editing, Y.H. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Research Project of Suzhou Industrial Park Institute of Services Outsourcing (No. SISO-ZD202202) and sponsored by the Qing Lan Project.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. (a) The three-dimensional locally twisted cube L T Q 3 ; (b) the four-dimensional locally twisted cube L T Q 4 .
Figure 1. (a) The three-dimensional locally twisted cube L T Q 3 ; (b) the four-dimensional locally twisted cube L T Q 4 .
Symmetry 15 01349 g001
Figure 2. (a) The three-dimensional folded locally twisted cube F L T Q 3 ; (b) the four-dimensional folded locally twisted cube F L T Q 4 .
Figure 2. (a) The three-dimensional folded locally twisted cube F L T Q 3 ; (b) the four-dimensional folded locally twisted cube F L T Q 4 .
Symmetry 15 01349 g002
Figure 3. The five-dimensional folded locally twisted cube F L T Q 5 .
Figure 3. The five-dimensional folded locally twisted cube F L T Q 5 .
Symmetry 15 01349 g003
Table 1. The neighbors of μ and ν in X, where x 1 = 0 .
Table 1. The neighbors of μ and ν in X, where x 1 = 0 .
N X ( μ ) N X ( ν )
μ 1 = x n x n 1 x n 2 x 3 x 2 1 ν 1 = x n x ¯ n 1 x ¯ n 2 x ¯ 3 x ¯ 2 0
μ 2 = x n x n 1 x n 2 x 3 x ¯ 2 0 ν 2 = x n x ¯ n 1 x ¯ n 2 x ¯ 3 x 2 1
μ 3 = x n x n 1 x n 2 x ¯ 3 x 2 0 ν 3 = x n x ¯ n 1 x ¯ n 2 x 3 x 2 1
μ n 1 = x n x ¯ n 1 x n 2 x 3 x 2 0 ν n 1 = x n x n 1 x n 2 x ¯ 3 x ¯ 2 1
μ c = x ¯ n x ¯ n 1 x ¯ n 2 x ¯ 3 x ¯ 2 1 ν n = x ¯ n x n 1 x ¯ n 2 x ¯ 3 x ¯ 2 1
Table 2. The neighbors of μ and ν in X, where x 1 = 1 .
Table 2. The neighbors of μ and ν in X, where x 1 = 1 .
N X ( μ ) N X ( ν )
μ 1 = x n x n 1 x n 2 x 3 x 2 0 ν 1 = x n x n 1 x ¯ n 2 x ¯ 3 x ¯ 2 1
μ 2 = x n x n 1 x n 2 x 3 x ¯ 2 1 ν 2 = x n x n 1 x ¯ n 2 x ¯ 3 x 2 0
μ 3 = x n x n 1 x n 2 x ¯ 3 x ¯ 2 1 ν 3 = x n x n 1 x ¯ n 2 x 3 x ¯ 2 0
μ n 1 = x n x ¯ n 1 x ¯ n 2 x 3 x 2 1 ν n 1 = x n x ¯ n 1 x ¯ n 2 x ¯ 3 x ¯ 2 0
μ c = x ¯ n x ¯ n 1 x ¯ n 2 x ¯ 3 x ¯ 2 0 ν n = x ¯ n x n 1 x ¯ n 2 x ¯ 3 x ¯ 2 0
Table 3. The neighbors of α and β in X, where x 1 = 0 .
Table 3. The neighbors of α and β in X, where x 1 = 0 .
N X ( α ) N X ( β )
α 1 = x ¯ n x n 1 x n 2 x 3 x 2 1 β 1 = x ¯ n x ¯ n 1 x ¯ n 2 x ¯ 3 x ¯ 2 0
α 2 = x ¯ n x n 1 x n 2 x 3 x ¯ 2 0 β 2 = x ¯ n x ¯ n 1 x ¯ n 2 x ¯ 3 x 2 1
α 3 = x ¯ n x n 1 x n 2 x ¯ 3 x 2 0 β 3 = x ¯ n x ¯ n 1 x ¯ n 2 x 3 x 2 1
α n 1 = x ¯ n x ¯ n 1 x n 2 x 3 x 2 0 β n 1 = x ¯ n x n 1 x n 2 x ¯ 3 x ¯ 2 1
α c = x n x ¯ n 1 x ¯ n 2 x ¯ 3 x ¯ 2 1 β n = x n x n 1 x ¯ n 2 x ¯ 3 x ¯ 2 1
Table 4. The neighbors of α and β in X, where x 1 = 1 .
Table 4. The neighbors of α and β in X, where x 1 = 1 .
N X ( α ) N X ( β )
α 1 = x ¯ n x ¯ n 1 x n 2 x 3 x 2 0 β 1 = x ¯ n x ¯ n 1 x ¯ n 2 x ¯ 3 x ¯ 2 1
α 2 = x ¯ n x ¯ n 1 x n 2 x 3 x ¯ 2 1 β 2 = x ¯ n x ¯ n 1 x ¯ n 2 x ¯ 3 x 2 0
α 3 = x ¯ n x ¯ n 1 x n 2 x ¯ 3 x ¯ 2 1 β 3 = x ¯ n x ¯ n 1 x ¯ n 2 x 3 x ¯ 2 0
α n 1 = x ¯ n x n 1 x ¯ n 2 x 3 x 2 1 β n 1 = x ¯ n x n 1 x ¯ n 2 x ¯ 3 x ¯ 2 0
α c = x n x n 1 x ¯ n 2 x ¯ 3 x ¯ 2 0 β n = x n x ¯ n 1 x ¯ n 2 x ¯ 3 x ¯ 2 0
Table 5. The possible values of μ and ν .
Table 5. The possible values of μ and ν .
μ = x n x n 1 x n 2 x 3 x 2 0
μ n = ν c μ n = x ¯ n x n 1 x n 2 x 3 x 2 0 = ν c x 1 = 0
ν = x n x ¯ n 1 x ¯ n 2 x ¯ 3 x ¯ 2 1
μ = x n x n 1 x n 2 x 3 x 2 1
μ n = ν c μ n = x ¯ n x ¯ n 1 x n 2 x 3 x 2 1 = ν c x 1 = 1
ν = x n x n 1 x ¯ n 2 x ¯ 3 x ¯ 2 0
μ = x n x n 1 x n 2 x 3 x 2 0
μ c = ν n μ c = x ¯ n x ¯ n 1 x ¯ n 2 x ¯ 3 x ¯ 2 1 = ν n x 1 = 0
ν = x n x n 1 x ¯ n 2 x ¯ 3 x ¯ 2 1
μ = x n x n 1 x n 2 x 3 x 2 1
μ c = ν n μ c = x ¯ n x ¯ n 1 x ¯ n 2 x ¯ 3 x ¯ 2 0 = ν n x 1 = 1
ν = x n x ¯ n 1 x ¯ n 2 x ¯ 3 x ¯ 2 0
Table 6. The possible values of K.
Table 6. The possible values of K.
μ = x n x n 1 x n 2 x 3 x 2 0 = ν n
μ n = ν μ n = x ¯ n x n 1 x n 2 x 3 x 2 0 = ν x 1 = 0
ν c = x n x ¯ n 1 x ¯ n 2 x ¯ 3 x ¯ 2 1
μ c = x ¯ n x ¯ n 1 x ¯ n 2 x ¯ 3 x ¯ 2 1
μ = x n x n 1 x n 2 x 3 x 2 1 = ν n
μ n = ν μ n = x ¯ n x ¯ n 1 x n 2 x 3 x 2 1 = ν x 1 = 1
ν c = x n x n 1 x ¯ n 2 x ¯ 3 x ¯ 2 0
μ c = x ¯ n x ¯ n 1 x ¯ n 2 x ¯ 3 x ¯ 2 0
μ = x n x n 1 x n 2 x 3 x 2 0 = ν c
μ c = ν μ c = x ¯ n x ¯ n 1 x ¯ n 2 x ¯ 3 x ¯ 2 1 = ν x 1 = 0
ν n = x n x n 1 x ¯ n 2 x ¯ 3 x ¯ 2 1
μ n = x ¯ n x n 1 x n 2 x 3 x 2 0
μ = x n x n 1 x n 2 x 3 x 2 1 = ν c
μ c = ν μ c = x ¯ n x ¯ n 1 x ¯ n 2 x ¯ 3 x ¯ 2 0 = ν x 1 = 1
ν n = x n x ¯ n 1 x ¯ n 2 x ¯ 3 x ¯ 2 0
μ n = x ¯ n x ¯ n 1 x n 2 x 3 x 2 1
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You, L.; Han, Y.; Jiang, J. Super-Connectivity of the Folded Locally Twisted Cube. Symmetry 2023, 15, 1349. https://doi.org/10.3390/sym15071349

AMA Style

You L, Han Y, Jiang J. Super-Connectivity of the Folded Locally Twisted Cube. Symmetry. 2023; 15(7):1349. https://doi.org/10.3390/sym15071349

Chicago/Turabian Style

You, Lantao, Yuejuan Han, and Jianfeng Jiang. 2023. "Super-Connectivity of the Folded Locally Twisted Cube" Symmetry 15, no. 7: 1349. https://doi.org/10.3390/sym15071349

APA Style

You, L., Han, Y., & Jiang, J. (2023). Super-Connectivity of the Folded Locally Twisted Cube. Symmetry, 15(7), 1349. https://doi.org/10.3390/sym15071349

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