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Article

The Steiner k-Wiener Index of Cacti

School of Mathematics, Lanzhou Jiaotong University, Lanzhou 730070, China
*
Author to whom correspondence should be addressed.
Symmetry 2025, 17(9), 1371; https://doi.org/10.3390/sym17091371
Submission received: 14 July 2025 / Revised: 15 August 2025 / Accepted: 16 August 2025 / Published: 22 August 2025
(This article belongs to the Section Mathematics)

Abstract

Let G be a connected graph. The Steiner k-Wiener index S W k ( G ) of graph G is defined as S W k ( G ) = S V ( G ) , | S | = k d G ( S ) , where d G ( S ) represents the minimum size of a connected subgraph of G that connects S. Using some graph operations, we obtain the minimum value and the second minimum value of the Steiner k-Wiener index for cacti with order n and t cycles, and we characterize the corresponding extremal graphs by exploiting structural symmetries.
MSC:
05C09; 05C35

1. Introduction

In this paper, all graphs are undirected, finite, simple, and connected. The terminology and concepts used herein are based on the reference [1]. Let G be a simple connected graph, where V ( G ) and E ( G ) are its vertex set and edge set, respectively. For u V ( G ) , d G ( u ) denotes the degree of u in G, which is the number of edges incident to u. A vertex of degree 1 is called a pendant vertex, and an edge incident to a pendant vertex is called a pendant edge. For u , v V ( G ) , d G ( u , v ) represents the distance between u and v, specifically the length of the shortest path connecting u and v. Let G u v be the graph that arises from G by deleting the edge u v E ( G ) . Similarly, G + u v is a graph that arises from G by adding an edge u v E ( G ) , where u , v V ( G ) . Let V c = { v V ( G ) : v is a cut vertex of G } .
The Wiener index was introduced by the chemist Wiener in 1947 during his study of paraffin boiling points [2], and the Wiener index of a graph G is defined as the sum of distances between all pairs of vertices in G, expressed as
W ( G ) = { u , v } V ( G ) d G ( u , v ) .
For more details on the Wiener index, we refer to [3,4,5,6,7,8,9].
In 1994, Chartrand et al. [10] put forward the notion of Steiner distance. For a subset S V ( G ) , the Steiner distance d G ( S ) is defined as the minimum size of a connected subgraph of G connecting S. In particular, if S = { u , v } , then d G ( S ) = d G ( u , v ) . In 2014, Li et al. [11] formulated the Steiner k-Wiener index, which generalizes the Wiener index by incorporating the definition of Wiener index and Steiner distance. For a positive integer k, 2 k n 1 , the Steiner k-Wiener index S W k ( G ) of a graph G is defined as
S W k ( G ) = S V ( G ) , | S | = k d G ( S ) .
If k = 2 , the Steiner 2-Wiener index coincides with the Wiener index. Subsequently, some studies on the Steiner k-Wiener index were reported. In 2020, Li et al. [12] calculated the Steiner Szeged index and the Steiner k-Wiener index of cycles and wheels. In 2021, Lai et al. [13] determined upper and lower bounds of the Steiner ( n 1 ) -Wiener index among all unicyclic graphs. Based on this, in 2022, Fan et al. [14] determined upper and lower bounds of the Steiner k-Wiener index among all unicyclic graphs. For results on the Steiner k-Wiener index, one can refer to [15,16,17]. And other topological indices have begun to receive extensive attention, such as the Trinajstić index [18].
A connected graph whose every block is either an edge or a cycle is called a cactus graph, or simply a cactus. Denote by C ( n , t ) the set of all cacti with n vertices and t cycles, where 0 t n 1 2 . Clearly, C ( n , 0 ) represents the set of all trees of order n, and C ( n , 1 ) represents the set of all unicyclic graphs of order n. A cycle is called an end-block if it contains exactly one vertex whose degree is not equal to 2. A bundle is a cactus in which all cycles share exactly one common vertex. Let G n ( l 1 , l 2 , , l t ) be a bundle consisting of t cycles of lengths l 1 , l 2 , , l t , where n + k i = 1 t ( l i 1 ) pendant edges are attached to the unique common vertex of all cycles. If l 1 = l 2 = = l t = 3 , define G 0 ( n , t ) G n ( 3 , 3 , , 3 t ) (see Figure 1).
Cacti hold significant importance in graph theory and network analysis, as they are widely employed to describe and analyze closed structures and cyclic relationships in various real-world systems. Consequently, investigating the Steiner k-Wiener index of cacti is of great value. In 2007, Liu et al. [8] gave the minimum Wiener index among graphs in C ( n , t ) . In 2021, Deng et al. [9] determined the extremal graphs with second smallest Wiener index among cacti with order n and t cycles. However, the lower bound on the Steiner k-Wiener index of n-vertex cacti with exactly t cycles remains unknown for 3 k n 1 . Therefore, in this paper, using graph transformation methods and the symmetric structure of the graph, we obtain the minimum and second minimum Steiner k-Wiener indices for cacti with order n and t cycles, and we characterize the corresponding extremal graphs.
Theorem 1. 
Let G C ( n , t ) , n 6 .
(a) If 3 k n 2 , then
S W k ( G ) n 1 k 1 ( n 1 ) ,
with equality if and only if G G 0 ( n , t ) .
(b) If k = n 1 , then
S W k ( G ) ( n 1 ) 2 t = 0 , with equality if and only if G S n , n ( n 2 ) t = 1 , with equality if and only if G C n , ( n 1 ) 2 t 2 , with equality if and only if G G n ( l 1 , l 2 , , l t ) .
The double star S n 1 , n 2 (assume n 1 n 2 > 1 ) is defined as a tree in which the end u of an edge e = u v is connected to n 1 1 pendant edges, and the other end v is connected to n 2 1 pendant edges(see Figure 2). Clearly, n 1 + n 2 = n .
The graph H n ( t 1 , s 1 ; t 2 , s 2 ) is defined as a graph in which one end u of an edge e = u v is connected to t 1 cycles and s 1 pendant edges, and the other end v is connected to t 2 cycles and s 2 pendant edges(see Figure 2). Here, d G ( u ) 2 , d G ( v ) 2 and t 1 + t 2 = t .
Theorem 2. 
Let G C ( n , t ) , n 6 .
(a) If 3 k n 2 and G C ( n , t ) G 0 ( n , t ) , then
if t = 0 , then
S W k ( G ) n 1 k 1 ( n 1 ) + n 2 k 1 ,
with equality if and only if G S n 2 , 2 ;
if t 1 , then
S W k ( G ) n 1 2 ( n 1 ) + n 3 2 1 k = 3 , n 1 k 1 ( n 1 ) + n 3 k 1 4 k n 2 ,
with equality if and only if G G n ( 4 , 3 , , 3 t 1 ) (see Figure 3).
(b) If k = n 1 , then
if t = 0 and G C ( n , 0 ) S n , S W k ( G ) n 2 2 n + 2 , with equality if and only if G S n 1 , n 2 ;
if t = 1 and G C ( n , 1 ) C n , S W k ( G ) ( n 1 ) 2 , with equality if and only if G G n ( l 1 ) ( l 1 n ) ;
if t 2 and G C ( n , t ) G n ( l 1 , l 2 , , l t ) , S W k ( G ) n 2 2 n + 2 , with equality if and only if G H n ( t 1 , s 1 ; t 2 , s 2 ) .

2. Preliminaries

To establish the main results, we present some crucial lemmas.
Lemma 1. 
Let H, X, and Y be three pairwise disjoint connected graphs. Suppose that u , v V ( H ) , v V ( X ) , and u V ( Y ) . Let G be the graph obtained from H , X , Y by identifying v with v and u with u . Let G be the graph obtained from H , X , Y by identifying v, v , and u , and let G be the graph obtained from H , X , Y by identifying u, v , and u (see Figure 4). If 2 k n 1 , then
S W k ( G ) > S W k ( G ) or S W k ( G ) > S W k ( G ) .
Proof. 
Let V ( G ) = V ( H ) ( V ( X ) { v } ) ( V ( Y ) { u } ) . Now we will examine the change in Steiner distance from G to G .
• If S V ( H ) or S V ( X ) { v } or S V ( Y ) { u } , then d G ( S ) d G ( S ) = 0 .
• If S V ( H ) = , S V ( X ) { v } , and S V ( Y ) { u } , then d G ( S ) d G ( S ) > 0 .
• If S V ( H ) , S V ( X ) { v } = , and S V ( Y ) { u } , then d G ( S ) d G ( S ) = d H ( S { u } ) d H ( S { v } ) , where S = S V ( H ) .
• If S V ( H ) , S V ( X ) { v } , and S V ( Y ) { u } = , then d G ( S ) d G ( S ) = 0 .
• If S V ( H ) , S V ( X ) { v } , and S V ( Y ) { u } , then d G ( S ) d G ( S ) 0 .
Thus, we have
S W k ( G ) S W k ( G ) > S = S V ( H ) [ d H ( S { u } ) d H ( S { v } ) ] .
Similarly, we also have
S W k ( G ) S W k ( G ) > S = S V ( H ) [ d H ( S { v } ) d H ( S { u } ) ] .
If S = S V ( H ) [ d H ( S { u } ) d H ( S { v } ) ] > 0 , then S W k ( G ) S W k ( G ) > 0 ; if S = S V ( H ) [ d H ( S { u } ) d H ( S { v } ) ] < 0 , then S W k ( G ) S W k ( G ) > 0 . □
Let C n be a cycle of order n, with vertex set V ( C n ) = { u 1 , u 2 , , u n } . For each k-subset S V ( C n ) , let S = { a 1 , a 2 , , a k } , where the vertices are selected in a clockwise sequence from V ( C n ) . We can associate this subset with a corresponding vector ( x 1 , x 2 , , x k ) , where x i is the length of the path from a i to a i + 1 in the clockwise direction for 1 i k 1 , and x k is the length of the path from a k to a 1 in the clockwise direction. Obviously, i = 1 k x i = n . Thus, d G ( S ) = n max { x 1 , x 2 , , x k } (see Figure 5). For example, consider the cycle C 10 and the subset S = { u 2 , u 4 , u 9 } ; it is obvious that ( x 1 , x 2 , x 3 ) = ( 2 , 5 , 3 ) and d G ( S ) = 5 .
Lemma 2. 
Let G be a graph of order n, which is obtained from a connected graph H and a cycle C g = u 1 u 2 u g u 1 ( g 4 ) by identifying the vertex u 1 with a vertex u of the graph H (see Figure 6). Let G = G u 2 u 3 + u 1 u 3 .
(a) If 3 k n 2 , then S W k ( G ) S W k ( G ) ;
(b) If k = n 1 , then S W n 1 ( G ) = S W n 1 ( G ) .
Proof. 
Let V ( G ) = { u 2 } X Y , where X = V ( H ) { u 1 } and Y = V ( C g ) { u 2 } .
(a) For any subset S V ( G ) = V ( G ) with | S | = k , where 3 k n 2 , the following cases arise:
Case 1.  u 2 S .
Subcase 1.1. If S { u 2 } X , it is clear that d G ( S ) d G ( S ) = 0 .
Subcase 1.2. If S { u 2 } Y , let S = { u 2 , a 1 , a 2 , , a k 1 } , where a 1 u 1 . Then d G ( S ) = d C g ( { u 2 , a 1 , a 2 , , a k 1 } ) , d G ( S ) = d C g 1 ( { u 1 , a 1 , a 2 , , a k 1 } ) + 1 . Let the corresponding vector of { u 2 , a 1 , a 2 , , a k 1 } in G be ( x 1 , x 2 , , x k 1 , x k ) ; thus, the corresponding vector of { u 1 , a 1 , a 2 , , a k 1 } in G is ( x 1 , x 2 , , x k 1 , x k 1 ) .
• If max { x 1 , x 2 , , x k 1 , x k } = x i in G, where x i x k for 1 i k 1 , then max { x 1 , x 2 , , x k 1 , x k 1 } = x i in G . In this case, we obtain d G ( S ) = g x i , d G ( S ) = ( g 1 ) x i + 1 = g x i ; thus, d G ( S ) d G ( S ) = 0 .
• If max { x 1 , x 2 , , x k 1 , x k } = x k in G, where x k > x i for all 1 i k 1 , then max { x 1 , x 2 , , x k 1 , x k 1 } = x k 1 x i in G . In this case, we obtain d G ( S ) = g x k , d G ( S ) = ( g 1 ) ( x k 1 ) + 1 = g x k + 1 ; thus, d G ( S ) d G ( S ) = 1 .
Subcase 1.3. If S { u 2 } X and S { u 2 } Y , let S { u 2 } Y = { a 1 , a 2 , , a s } , where 1 s k 2 and a 1 u 1 . Then, we have | S { u 2 } Y | = s and | S { u 2 } X | = k s 1 . Let d H ( S { u 1 } ) = m , where S = S X ; then, d G ( S ) = d C g ( { u 1 , u 2 , a 1 , a 2 , , a s } ) + m , d G ( S ) = d C g 1 ( { u 1 , a 1 , a 2 , , a s } ) + m + 1 . Let the corresponding vector of { u 1 , u 2 , a 1 , a 2 , , a s } in G be ( x 1 = 1 , x 2 , , x s + 1 , x s + 2 ) ; thus, the corresponding vector of { u 1 , a 1 , a 2 , , a s } in G is ( x 2 , x 3 , , x s + 1 , x s + 2 ) . It is noted that x i 1 for 2 i s + 1 , and x s + 2 0 .
• If max { 1 , x 2 , , x s + 1 , x s + 2 } = x i x 1 in G, then max { x 2 , x 3 , , x s + 1 , x s + 2 } = x i in G . In this case, we obtain d G ( S ) = g x i + m , d G ( S ) = ( g 1 ) x i + m + 1 = g x i + m ; thus, d G ( S ) d G ( S ) = 0 .
Case 2.  u 2 S .
Subcase 2.1. If S X , obviously, d G ( S ) d G ( S ) = 0 .
Subcase 2.2. If S Y , let S = { a 1 , a 2 , , a k } , where a 1 u 1 . Then, d G ( S ) = d C g ( { a 1 , a 2 , , a k } ) , d G ( S ) = d C g 1 ( { a 1 , a 2 , , a k } ) . Let the corresponding vector of { a 1 , a 2 , , a k } in G be ( x 1 , x 2 , , x k 1 , x k ) ; thus, its corresponding vector in G is ( x 1 , x 2 , , x k 1 , x k 1 ) .
• If max { x 1 , x 2 , , x k 1 , x k } = x i in G, where x i > x k for i k , then max { x 1 , x 2 , , x k 1 , x k 1 } = x i in G . In this case, we obtain d G ( S ) = g x i , d G ( S ) = g 1 x i ; thus, d G ( S ) d G ( S ) = 1 .
• If max { x 1 , x 2 , , x k 1 , x k } = x k in G, where x k > x i for all 1 i k 1 , then max { x 1 , x 2 , , x k 1 , x k 1 } = x k 1 x i in G . In this case, we obtain d G ( S ) = g x k , d G ( S ) = ( g 1 ) ( x k 1 ) = g x k ; thus, d G ( S ) d G ( S ) = 0 .
• If max { x 1 , x 2 , , x k 1 , x k } = x k in G and there exists x i for 1 i k 1 such that x k = x i , then max { x 1 , x 2 , , x k 1 , x k 1 } = x i in G . In this case, we obtain d G ( S ) = g x k , d G ( S ) = ( g 1 ) x i = g 1 x k ; thus, d G ( S ) d G ( S ) = 1 .
Subcase 2.3. If S X and S Y , let S Y = { a 1 , a 2 , , a s } with 1 s k 1 , where a 1 u 1 . Then, | S Y | = s and | S X | = k s . Let d H ( S { u 1 } ) = m , where S = S X ; then, d G ( S ) = d C g ( { u 1 , a 1 , a 2 , , a s } ) + m , d G ( S ) = d C g 1 ( { u 1 , a 1 , a 2 , , a s } ) + m . Let the vector corresponding to { u 1 , a 1 , a 2 , , a s } in G be ( x 1 , x 2 , , x s , x s + 1 ) ; thus, its corresponding vector in G is ( x 1 1 , x 2 , , x s , x s + 1 ) .
• If max { x 1 , x 2 , , x s , x s + 1 } = x 1 in G, where x 1 > x i for all 2 i s + 1 , then max { x 1 1 , x 2 , , x s , x s + 1 } = x 1 1 x i in G . In this case, we obtain d G ( S ) = g x 1 + m and d G ( S ) = ( g 1 ) ( x 1 1 ) + m = g x 1 + m ; thus, d G ( S ) d G ( S ) = 0 .
• If max { x 1 , x 2 , , x s , x s + 1 } = x i in G, where x i x 1 for 2 i s + 1 , then max { x 1 1 , x 2 , , x s , x s + 1 } = x i in G . In this case, we obtain d G ( S ) = g x i + m , d G ( S ) = ( g 1 ) x i + m = g 1 x i + m ; thus, d G ( S ) d G ( S ) = 1 .
In all cases outlined above, except for Subcases 1.2, 2.2, and 2.3, we have d G ( S ) d G ( S ) = 0 . Define ρ as the set of all k-subsets S in Subcase 1.2, where d G ( S ) d G ( S ) = 1 . Similarly, let ρ + be the set of all k-subsets S in Subcases 2.2 and 2.3, where d G ( S ) d G ( S ) = 1 . To prove S W k ( G ) S W k ( G ) , now we need to demonstrate that | ρ + |     | ρ | .
If k g , then | ρ |   =   0 , implying | ρ + |     | ρ | ; now we consider k   <   g . Define ρ = ρ 1 + ρ 2 + + ρ k , where ρ i = { S | S | = k , u 2 , u 3 , , u i + 1 S , u i + 2 S , S { u 2 , u 3 , , u i + 1 } { u i + 3 , , u g , u 1 } } for 1 i k . Each k-subset S in ρ i satisfies d G ( S ) d G ( S ) = 1 ; let | ρ i | = s i for 1 i k . Obviously, | ρ k |   = s k = 1 .
For each S i j ρ i , where 1 j s i , let
S i j = { u 2 , u 3 , , u i , u i + 1 , a 1 , a 2 , , a k i } .
By rotating each element in S i j in a counterclockwise manner by i units on the cycle, we can obtain
S i j = { a 1 , a 2 , , a k i , u g + 2 i , u g + 3 i , , u g , u 1 } .
Let the vector corresponding to S i j be ( x 1 , , x i , x i + 1 , , x k ) ; thus, the vector for S i j is ( y 1 , , y k i , y k i + 1 , , y k ) , where y 1 = x i + 1 , , y k i = x k , y k i + 1 = x 1 , , y k = x i . Since S i j ρ i , and following from Subcase 1.2, we have max { x 1 , x 2 , , x k 1 , x k } = x k > x i for all 1 i k 1 in G, and max { x 1 , x 2 , , x k 1 , x k 1 } = x k 1 x i in G .
When 1 i k 1 , it follows that S i j satisfies m a x { y 1 , , y k i , y k i + 1 , , y k } = y k i in G, where y k i > y k for k i k , and max { y 1 , , y k i , y k i + 1 , , y k 1 } = y k i in G . And because u i + 2 S i j , then u 2 S i j . According to Subcase 2.2, this implies d G ( S i j ) d G ( S i j ) = 1 , and hence S i j ρ + . Define ρ i = { S i j 1 j s i } . If S i j , S i l ρ i and S i j S i l , by the definition of S i j and S i l , then S i j S i l . Let S i j = { u 2 , u 3 , , u i , u i + 1 , a 1 , a 2 , , a k i } ρ i , S m j   =   { u 2 , u 3 , , u i , u i + 1 , , u m , u m + 1 , , b 1 , b 2 , , b k m }   ρ m , assuming 1 i < m k 1 . Hence, we can get
S i j = { a 1 , a 2 , , a k i , u g + 2 i , u g + 3 i , , u g , u 1 } ,
S m j = { b 1 , b 2 , , b k m , u g + 2 m , u g + 3 m , , u g + 1 i , u g + 2 i , u g + 3 i , , u g , u 1 } .
If S i j = S m j , it would follow that a k i = u g + 1 i S i j , implying x k = y k i = 1 , which is contradictory with max { x 1 , x 2 , , x k 1 , x k } = x k > x i for all 1 i k 1 in G; then, S i j S m j . Therefore, we know that i = 1 k 1 | ρ i |   = i = 1 k 1 | ρ i | .
Now we consider case i = k . Clearly, ρ k = { S k 1 } , where S k 1 = { u 2 , u 3 , , u k , u k + 1 } . When g < n , since g > k , then g k + 1 2 ; consider the k-subset S k 1 = { v , u 3 , u 4 , , u k , u 1 } , where v V ( H ) N G ( u 1 ) . Obviously, S k 1 X and S k 1 Y ; then, the corresponding vector of { u 1 , u 3 , u 4 , , u k , u 1 } is ( 2 , 1 , 1 , , 1 , g k + 1 , 0 ) . Because u 2 S k 1 , m a x { 2 , 1 , 1 , , 1 , g k + 1 , 0 } = g k + 1 = x k 1 x 1 in G, and m a x { 1 , 1 , 1 , , 1 , g k + 1 , 0 } = x k 1 in G , then according to Subcase 2.3, we can get d G ( S k 1 ) d G ( S k 1 ) = 1 , so S k 1 ρ + .
When g = n , since k n 2 = g 2 , then g k 2 ; consider the situation of the parity of g k . If g k is odd, there exists a k-subset S k 1 = { u 3 , u 4 , , u k , u k + 2 , u g + k + 5 2 ( m o d g ) } . Evidently, S k 1 Y , and the corresponding vector of S k 1 is ( 1 , 1 , , 1 , 2 , g k + 1 2 , g k + 1 2 ) , where g k + 1 2 2 . Because u 2 S k 1 , m a x { 1 , 1 , , 1 , 2 , g k + 1 2 , g k + 1 2 } = g k + 1 2 = x k = x k 1 in G, and m a x { 1 , 1 , , 1 , 2 , g k + 1 2 , g k + 1 2 1 } = x k 1 in G , then according to Subcase 2.2, we can get d G ( S k 1 ) d G ( S k 1 ) = 1 , so S k 1 ρ + ; if g k is even, there exists a k-subset S k 1 = { u 3 , u 4 , , u k 1 , u k , u k + 1 , u g + k + 4 2 ( m o d g ) } . Evidently, S k 1 Y , and the corresponding vector of S k 1 is ( 1 , 1 , , 1 , 1 , g k + 2 2 , g k + 2 2 ) , where g k + 2 2 2 . Because u 2 S k 1 , m a x { 1 , 1 , , 1 , 1 , g k + 2 2 , g k + 2 2 } = g k + 2 2 = x k = x k 1 in G, and m a x { 1 , 1 , , 1 , 1 , g k + 2 2 , g k + 2 2 1 } = x k 1 in G , then according to Subcase 2.2, we can get d G ( S k 1 ) d G ( S k 1 ) = 1 , so S k 1 ρ + .
Thus, | ρ | = i = 1 k 1 | ρ i | + 1 = i = 1 k 1 | ρ i | + 1 | ρ + | . Hence, we conclude that S W k ( G ) S W k ( G ) .
(b) For any subset S V ( G ) with | S | = n 1 , it is evident that n 2 d ( S ) n 1 . Let { v } = V ( G ) S . If v X Y , then d G ( S ) d G ( S ) = 0 . Similarly, if v = u 1 , then d G ( S ) d G ( S ) = 0 . Thus, we conclude that S W n 1 ( G ) = S W n 1 ( G ) . □
Lemma 3. 
Let G be a connected graph with order n, then
S W n 1 ( G ) = n ( n 2 ) + p ,
where p is the number of cut vertices in G.
Proof. 
For any subset S V ( G ) with | S | = n 1 , it is obvious that n 2 d ( S ) n 1 .
Let { v } = V ( G ) S , | V c | = p , where p 0 . If v V c , then d G ( S ) = n 1 , and its contribution to S W n 1 ( G ) is p ( n 1 ) ; if v V c , then d G ( S ) = n 2 , and its contribution to S W n 1 ( G ) is ( n p ) ( n 2 ) . Thus, we can get S W n 1 ( G ) = p ( n 1 ) + ( n p ) ( n 2 ) = n ( n 2 ) + p . □

3. Minimum Values

In this section, we attain the graph with the minimum Steiner k-Wiener index in C ( n , t ) .
Proof of Theorem 1. 
According to Lemma 3, (b) is obviously true; now we prove (a). We first prove two Claims.
Claim 1. 
Let  G C ( n , t )  with the minimum Steiner k-Wiener index; then,  | V c | = 1 .
Assume that | V c | > 1 . Let u , v V c and H be a component of G containing both u and v, such that N G ( u ) N H ( u ) and N G ( v ) N H ( v ) . Let N G ( u ) N H ( u ) = { u 1 , u 2 , , u s } and N G ( v ) N H ( v ) = { v 1 , v 2 , , v t } , where s , t 1 . Let
G 1 = G { u u 1 , , u u s } + { v u 1 , , v u s } , G 2 = G { v v 1 , , v v t } + { u v 1 , , u v t } .
Apparently, G 1 , G 2 C ( n , t ) , and by Lemma 1, either S W k ( G ) > S W k ( G 1 ) or S W k ( G ) > S W k ( G 2 ) , a contradiction. Therefore, | V c | = 1 .
Let u be the unique cut vertex of G. By Claim 1 and Lemma 2, we can get S W k ( G ) S W k ( G n ( l 1 , l 2 , , l t ) ) S W k ( G 0 ( n , t ) ) . Now we need to prove that G 0 ( n , t ) is the unique graph with the minimum Steiner k-Wiener index.
Claim 2. 
If  n 6 , then  S W k ( G n ( 4 , l 2 , , l t t 1 ) ) > S W k ( G n ( 3 , l 2 , , l t t 1 ) ) .
For convenience, let G = G n ( 4 , l 2 , , l t t 1 ) , G = G n ( 3 , l 2 , , l t t 1 ) . And let the cycle C 4 = u w 1 w 2 w 3 u in G ; then, G = G w 1 w 2 + u w 2 . Therefore, for any subset S V ( G ) = V ( G ) with | S | = k , there are the following cases: (1) w 2 S ; (2) w 1 S , w 2 S , w 3 S ; (3) w 1 S , w 2 S , w 3 S ; (4) w 1 S , w 2 S , w 3 S ; (5) w 1 S , w 2 S , w 3 S .
For k = 3 , in case (2), d G ( S ) d G ( S ) = 1 ; in case (5), d G ( S ) d G ( S ) = 1 ; for all other cases, d G ( S ) d G ( S ) = 0 . Therefore, it follows that
S W 3 ( G ) S W 3 ( G ) = S V ( G ) d G ( S ) S V ( G ) d G ( S ) = n 3 2 1 .
Since n 6 , then S W 3 ( G ) S W 3 ( G ) > 0 .
For 4 k n 2 , in case (5), d G ( S ) d G ( S ) = 1 ; for all other cases, d G ( S ) d G ( S ) = 0 . Therefore, it follows that
S W k ( G ) S W k ( G ) = S V ( G ) d G ( S ) S V ( G ) d G ( S ) = n 3 k 1 .
Since k 1 n 3 , then S W k ( G ) S W k ( G ) > 0 .
By Claim 2, we know that G 0 ( n , t ) is the unique graph with the minimum Steiner k-Wiener index. Now we compute the Steiner k-Wiener index of G 0 ( n , t ) . For any subset S V ( G 0 ( n , t ) ) with | S | = k , if u S , then d G 0 ( n , t ) ( S ) = k 1 , and there are n 1 k 1 such subsets, contributing n 1 k 1 ( k 1 ) to S W k ( G 0 ( n , t ) ) . If u S , then d G 0 ( n , t ) ( S ) = k , and there are n 1 k such subsets, contributing n 1 k k to S W k ( G 0 ( n , t ) ) . Thus, we obtain
S W k ( G 0 ( n , t ) ) = n 1 k 1 ( k 1 ) + n 1 k k = n 1 k 1 ( n 1 ) .

4. Second Minimum Values

In this section, we determine the graph with the smallest Steiner k-Wiener index in G C ( n , t ) { G 0 ( n , t ) } . If G C ( n , t ) { G 0 ( n , t ) } , there are three possibilities:
(1) G contains a cycle that is not a triangle.
(2) G contains a cut edge that is not a pendant edge.
(3) G contains a cycle that is not an end-block.
Lemma 4. 
Let G C ( n , t ) { G 0 ( n , t ) } , where n 6 . If G contains a cycle that is not triangle, then
S W k ( G ) n 1 2 ( n 1 ) + n 3 2 1 , k = 3 , n 1 k 1 ( n 1 ) + n 3 k 1 , 4 k n 2 ,
with equality if and only if G G n ( 4 , 3 , , 3 t 1 ) .
Proof. 
We first prove that for n 6 , then S W k ( G n ( 5 , l 2 , , l t t 1 ) ) > S W k ( G n ( 4 , l 2 , , l t t 1 ) ) .
Let G = G n ( 5 , l 2 , , l t t 1 ) , G = G n ( 4 , l 2 , , l t t 1 ) , and let C 5 = u w 1 w 2 w 3 w 4 u in G ; then, G = G w 1 w 2 + u w 2 . For any subset S V ( G ) = V ( G ) with | S | = k , the following cases are considered: (1) w 2 S ; (2) w 2 S , w 1 S , w 3 S , w 4 S ; (3) w 2 S , w 1 S , w 3 S , w 4 S ; (4) w 2 S , w 1 S , w 3 S , w 4 S ; (5) w 2 S , w 1 S , w 3 S , w 4 S ; (6) w 2 S , w 1 S , w 3 S , w 4 S ; (7) w 2 S , w 1 S , w 3 S , w 4 S ; (8) w 2 S , w 1 S , w 3 S , w 4 S ; (9) w 2 S , w 1 S , w 3 S , w 4 S .
For k = 3 , it is clear that case (9) does not exist. In cases (2), (4), and (5), d G ( S ) d G ( S ) = 1 ; in case (8), d G ( S ) d G ( S ) = 1 ; in all other cases, d G ( S ) d G ( S ) = 0 . Since case (8) contains only one subset, it follows that S W 3 ( G ) > S W 3 ( G ) .
For k = 4 , in cases (2), (4), and (5), d G ( S ) d G ( S ) = 1 ; in case (9), d G ( S ) d G ( S ) = 1 ; in all other cases, d G ( S ) d G ( S ) = 0 . Since case (9) contains only one subset, it follows that S W 4 ( G ) > S W 4 ( G ) .
For 5 k n 2 , in cases (2), (4), and (5), d G ( S ) d G ( S ) = 1 ; in all other cases, d G ( S ) d G ( S ) = 0 . It follows that S W k ( G ) > S W k ( G ) . According to the above cases, we claim that S W k ( G ) > S W k ( G ) for 3 k n 2 .
If G contains no cycle of length 4, then by Lemmas 1 and 2, we know that S W k ( G ) S W k ( G n ( l 1 , l 2 , , l t ) ) S W k ( G n ( 5 , 3 , , 3 t 1 ) ) > S W k ( G n ( 4 , 3 , , 3 t 1 ) ) .
If G contains a cycle of length 4, then by Lemmas 1, 2 and Claim 2 in Theorem 1, we know that S W k ( G ) S W k ( G n ( l 1 , l 2 , , l t ) ) S W k ( G n ( 4 , 3 , , 3 t 1 ) ) , with equality if and only if G G n ( 4 , 3 , , 3 t 1 ) .
Now we compute the Steiner k-Wiener index of G n ( 4 , 3 , , 3 t 1 ) . Based on Claim 2 in Theorem 1, we know that
S W k ( G n ( 4 , 3 , , 3 t 1 ) ) S W k ( G 0 ( n , t ) ) = n 3 2 1 , k = 3 , n 3 k 1 , 4 k n 2 .
Lemma 5. 
Let G C ( n , t ) { G 0 ( n , t ) } , where n 6 . If G contains a cut edge that is not a pendant edge, and 3 k n 2 , then
S W k ( G ) n 1 k 1 ( n 1 ) + n 2 k 1 ,
with equality if and only if G G 2 (see Figure 7).
Proof. 
Let G be the graph in which all cut edges except for e = u v are pendant edges, and all cycles are end-blocks and triangles (see Figure 7). By Lemmas 1 and 2, it is clear that S W k ( G ) S W k ( G ) . Suppose that vertex u is attached with t 1 triangles and s 1 pendant edges, and vertex v is attached with t 2 triangles and s 2 pendant edges in G , where t 1 + t 2 = t and s 1 + s 2 = n 2 t 2 .
Let G 2 be the graph obtained by moving the t 2 triangles and s 2 1 pendant edges from vertex v to vertex u in graph G , and G 3 be the graph obtained by moving the t 2 1 triangles and s 2 pendant edges from vertex v to vertex u in graph G (see Figure 7). According to Lemma 1, it is evident that S W k ( G ) min { S W k ( G 2 ) , S W k ( G 3 ) } , with equality if and only if G G 2 or G G 3 . Next, we calculate the Steiner k-Wiener indices for G 2 and G 3 .
For any set S V ( G 0 ( n , t ) ) = V ( G 2 ) with | S | = k , several cases are as follows: (1) w 1 S ; (2) v S , w 1 S ; (3) v S , w 1 S . In case (3), d G 2 ( S ) d G 0 ( n , t ) ( S ) = 1 ; for other cases, d G 2 ( S ) d G 0 ( n , t ) ( S ) = 0 . Therefore, we can derive
S W k ( G 2 ) S W k ( G 0 ( n , t ) ) = S V ( G 2 ) d G 2 ( S ) S V ( G 0 ( n , t ) ) d G 0 ( n , t ) ( S ) = n 2 k 1 .
Thus, S W k ( G 2 ) = S W k ( G 0 ( n , t ) ) + n 2 k 1 .
For any set S V ( G 0 ( n , t ) ) = V ( G 3 ) with | S | = k , there are the following cases: (1) w 2 S , w 3 S ; (2) w 2 S , w 3 S , v S ; (3) w 2 S , w 3 S , v S ; (4) w 2 S , w 3 S , v S ; (5) w 2 S , w 3 S , v S ; (6) w 2 S , w 3 S , v S ; (7) w 2 S , w 3 S , v S .
For k = 3 , in cases (2), (4), and (6), d G 3 ( S ) d G 0 ( n , t ) ( S ) = 1 ; in case (7), d G 3 ( S ) d G 0 ( n , t ) ( S ) = 1 ; for other cases, d G 3 ( S ) d G 0 ( n , t ) ( S ) = 0 . Therefore, we can derive
S W 3 ( G 3 ) S W 3 ( G 0 ( n , t ) ) = S V ( G 3 ) d G 3 ( S ) S V ( G 0 ( n , t ) ) d G 0 ( n , t ) ( S ) = 2 n 3 2 + n 3 1 1 = n 2 2 + n 3 2 1 .
For 4 k n 2 , in cases (2), (4), and (6), d G 3 ( S ) d G 0 ( n , t ) ( S ) = 1 ; for other cases, d G 3 ( S ) d G 0 ( n , t ) ( S ) = 0 . Therefore, we can derive
S W k ( G 3 ) S W k ( G 0 ( n , t ) ) = S V ( G 3 ) d G 3 ( S ) S V ( G 0 ( n , t ) ) d G 0 ( n , t ) ( S ) = n 3 k 2 + n 3 k 1 + n 3 k 1 = n 2 k 1 + n 3 k 1 .
Thus, we can get
S W k ( G 3 ) S W k ( G 0 ( n , t ) ) = n 2 2 + n 3 2 1 , k = 3 , n 2 k 1 + n 3 k 1 , 4 k n 2 .
If k = 3 , since n 6 , then S W 3 ( G 3 ) S W 3 ( G 2 ) = n 3 2 1 > 0 ; if 4 k n 2 , since k 1 n 3 , then S W k ( G 3 ) S W k ( G 2 ) = n 3 k 1 > 0 . □
Lemma 6. 
Let G C ( n , t ) { G 0 ( n , t ) } , where n 6 . If G contains a cycle that is not an end-block, and 3 k n 2 , then
S W k ( G ) > S W k ( G n ( 4 , 3 , , 3 t 1 ) ) .
Proof. 
If G contains a cycle that is not a triangle, since G has a cycle that is not an end-block, it follows from Lemma 4 that S W k ( G ) > S W k ( G n ( 4 , 3 , , 3 t 1 ) ) .
If all cycles in G are triangles, by Lemmas 1 and 2, we know that S W k ( G ) S W k ( G ) . Here, G has exactly one triangle that is not an end-block, and the remaining cycles are triangles and end-blocks. Moreover, all cut edges in G are pendant edges (see Figure 8). Let C 3 = u 1 u 2 u 3 u 1 be the non-end-block triangle in G . Suppose that u i is attached with t i triangles and s i pendant edges, where 1 i 3 . Clearly, i = 1 3 t i = t and i = 1 3 s i = n 2 t 3 . By moving the t 3 triangles and s 3 pendant edges from vertex u 3 to vertex u 1 in G , we obtain the graph G (see Figure 8). According to Lemma 1, we have S W k ( G ) S W k ( G ) , with equality if and only if d G ( u 3 ) = 2 .
Now, let G 4 be the graph obtained by moving the t 2 triangles and s 2 1 pendant edges from u 2 to u 1 in G , and G 5 be the graph obtained by moving the t 2 1 triangles and s 2 pendant edges from u 2 to u 1 in G (see Figure 9). By Lemma 1, we can conclude S W k ( G ) min { S W k ( G 4 ) , S W k ( G 5 ) } . Next we calculate the Steiner k-Wiener indices of G 4 and G 5 , respectively.
For any set S V ( G 0 ( n , t ) ) = V ( G 4 ) with | S | = k , there are the following cases: (1) w 1 S ; (2) w 1 S , u 2 S , u 3 S ; (3) w 1 S , u 2 S , u 3 S ; (4) w 1 S , u 2 S , u 3 S ; (5) w 1 S , u 2 S , u 3 S .
For k = 3 , in cases (2) and (3), d G 4 ( S ) d G 0 ( n , t ) ( S ) = 1 ; in case (5), d G 4 ( S ) d G 0 ( n , t ) ( S ) = 1 ; for other cases, d G 4 ( S ) d G 0 ( n , t ) ( S ) = 0 . Accordingly, we can get
S W 3 ( G 4 ) S W 3 ( G 0 ( n , t ) ) = S V ( G 4 ) d G 4 ( S ) S V ( G 0 ( n , t ) ) d G 0 ( n , t ) ( S ) = n 3 2 + n 3 1 1 .
For 4 k n 2 , in cases (2) and (3), d G 4 ( S ) d G 0 ( n , t ) ( S ) = 1 ; for other cases, d G 4 ( S ) d G 0 ( n , t ) ( S ) = 0 . Accordingly, we can get
S W k ( G 4 ) S W k ( G 0 ( n , t ) ) = S V ( G 4 ) d G 4 ( S ) S V ( G 0 ( n , t ) ) d G 0 ( n , t ) ( S ) = n 3 k 2 + n 3 k 1 .
Thus, we know that
S W k ( G 4 ) S W k ( G 0 ( n , t ) ) = n 3 2 + n 3 1 1 , k = 3 , n 3 k 2 + n 3 k 1 , 4 k n 2 .
If k = 3 , because n 6 , then S W 3 ( G 4 ) S W 3 ( G n ( 4 , 3 , , 3 t 1 ) ) = n 3 > 0 ; if 4 k n 2 , because k 2 n 4 , then S W k ( G 4 ) S W k ( G n ( 4 , 3 , , 3 t 1 ) ) = n 3 k 2 > 0 .
For any set S V ( G 0 ( n , t ) ) = V ( G 5 ) with | S | = k , there are the following cases: (1) w 2 S , w 3 S ; (2) w 2 S , w 3 S , u 2 S , u 3 S ; (3) w 2 S , w 3 S , u 2 S , u 3 S ; (4) w 2 S , w 3 S , u 2 S , u 3 S ; (5) w 2 S , w 3 S , u 2 S , u 3 S ; (6) w 2 S , w 3 S , u 2 S , u 3 S ; (7) w 2 S , w 3 S , u 2 S , u 3 S ; (8) w 2 S , w 3 S , u 2 S , u 3 S ; (9) w 2 S , w 3 S , u 2 S , u 3 S ; (10) w 2 S , w 3 S , u 2 S , u 3 S ; (11) w 2 S , w 3 S , u 2 S , u 3 S ; (12) w 2 S , w 3 S , u 2 S , u 3 S ; (13) w 2 S , w 3 S , u 2 S , u 3 S .
For k = 3 , it is clear that case (13) does not exist. In cases (2), (3), (6), (7), and (10), d G 5 ( S ) d G 0 ( n , t ) ( S ) = 1 ; in cases (5), (9), and (12), d G 5 ( S ) d G 0 ( n , t ) ( S ) = 1 ; for other cases, d G 5 ( S ) d G 0 ( n , t ) ( S ) = 0 . Accordingly, we can get
S W 3 ( G 5 ) S W 3 ( G 0 ( n , t ) ) = S V ( G 5 ) d G 5 ( S ) S V ( G 0 ( n , t ) ) d G 0 ( n , t ) ( S ) = 2 n 4 2 + 2 n 4 1 + n 4 1 3 = 2 n 3 2 + n 7 .
For k = 4 , in cases (2), (3), (6), (7), (10), and (11), d G 5 ( S ) d G 0 ( n , t ) ( S ) = 1 ; in case (13), d G 5 ( S ) d G 0 ( n , t ) ( S ) = 1 ; for other cases, d G 5 ( S ) d G 0 ( n , t ) ( S ) = 0 . Accordingly, we can get
S W 4 ( G 5 ) S W 4 ( G 0 ( n , t ) ) = S V ( G 5 ) d G 5 ( S ) S V ( G 0 ( n , t ) ) d G 0 ( n , t ) ( S ) = 2 n 4 3 + 2 n 4 2 + n 4 2 + n 4 1 1 = 2 n 3 3 + n 3 2 1 = n 3 3 + n 2 3 1 .
For 5 k n 2 , in cases (2), (3), (6), (7), (10), and (11), d G 5 ( S ) d G 0 ( n , t ) ( S ) = 1 ; for other cases, d G 5 ( S ) d G 0 ( n , t ) ( S ) = 0 . Accordingly, we can get
S W k ( G 5 ) S W k ( G 0 ( n , t ) ) = S V ( G 5 ) d G 5 ( S ) S V ( G 0 ( n , t ) ) d G 0 ( n , t ) ( S ) = 2 n 4 k 1 + 2 n 4 k 2 + n 4 k 2 + n 4 k 3 = 2 n 3 k 1 + n 3 k 2 = n 2 k 1 + n 3 k 1 .
Thus, we know that
S W k ( G 5 ) S W k ( G 0 ( n , t ) ) = 2 n 3 2 + n 7 , k = 3 , n 3 3 + n 2 3 1 , k = 4 , n 2 k 1 + n 3 k 1 , 5 k n 2 .
If k = 3 , since n 6 , then S W 3 ( G 5 ) S W 3 ( G n ( 4 , 3 , , 3 t 1 ) ) = n 3 2 + n 6 > 0 ; if k = 4 , then S W 4 ( G 5 ) S W 4 ( G n ( 4 , 3 , , 3 t 1 ) ) = n 2 3 1 > 0 ; if 5 k n 2 , since k 1 n 3 , then S W k ( G 5 ) S W k ( G n ( 4 , 3 , , 3 t 1 ) ) = n 2 k 1 > 0 . In summary, it can be concluded that S W k ( G ) > S W k ( G n ( 4 , 3 , , 3 t 1 ) ) .
Proof of Theorem 2. 
By Lemma 3, (b) is straightforward. We now turn to the proof of (a).
When t = 0 , since the cases described in Lemma 4 and Lemma 6 do not arise, the conclusion follows directly from Lemma 5; when t 1 , if k   =   3 , since n 6 , we have S W 3 ( G 2 ) S W 3 ( G n ( 4 , 3 , , 3 t 1 ) ) = n 2 > 0 . If 4 k n 2 , since k 2 n 4 , we have S W k ( G 2 ) S W k ( G n ( 4 , 3 , , 3 t 1 ) ) = n 3 k 2 > 0 . Thus, S W k ( G 2 ) > S W k ( G n ( 4 , 3 , , 3 t 1 ) ) . By Lemmas 4 to 6, we derive S W k ( G ) S W k ( G n ( 4 , 3 , , 3 t 1 ) ) , with equality if and only if G G n ( 4 , 3 , , 3 t 1 ) . □

5. Conclusions

In this paper, we first determine the minimum Steiner k-Wiener index of cacti and the corresponding extremal graphs by employing edge-contraction and cycle-contraction transformations. Next, we divide cacti except the extremal graph attaining the minimum value into three types and derive the minimum Steiner k-Wiener index for each type; by comparing these minimum values, we establish the second-minimum Steiner k-Wiener index of cacti together and the corresponding extremal graphs. Based on the cacti, we can consider studying the largest Steiner k-Wiener index among all cacti with order n and t cycles.

Author Contributions

Writing—original draft, C.X.; Writing—review and editing, M.L. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by National Natural Science Foundation of China (No. 11961040).

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Graph G 0 ( n , t ) .
Figure 1. Graph G 0 ( n , t ) .
Symmetry 17 01371 g001
Figure 2. Graphs S n 1 , n 2 and H n ( t 1 , s 1 ; t 2 , s 2 ) .
Figure 2. Graphs S n 1 , n 2 and H n ( t 1 , s 1 ; t 2 , s 2 ) .
Symmetry 17 01371 g002
Figure 3. Graph G n ( 4 , 3 , , 3 t 1 ) .
Figure 3. Graph G n ( 4 , 3 , , 3 t 1 ) .
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Figure 4. The transformation used in Lemma 1.
Figure 4. The transformation used in Lemma 1.
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Figure 5. Graph C n .
Figure 5. Graph C n .
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Figure 6. The transformation used in Lemma 2.
Figure 6. The transformation used in Lemma 2.
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Figure 7. G , G 2 , and G 3 used in Lemma 5.
Figure 7. G , G 2 , and G 3 used in Lemma 5.
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Figure 8. G and G used in Lemma 6.
Figure 8. G and G used in Lemma 6.
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Figure 9. G 4 and G 5 used in Lemma 6.
Figure 9. G 4 and G 5 used in Lemma 6.
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Xu, Chengye, and Mengmeng Liu. 2025. "The Steiner k-Wiener Index of Cacti" Symmetry 17, no. 9: 1371. https://doi.org/10.3390/sym17091371

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Xu, C., & Liu, M. (2025). The Steiner k-Wiener Index of Cacti. Symmetry, 17(9), 1371. https://doi.org/10.3390/sym17091371

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