Next Article in Journal
Autonomous Drifting like Professional Racing Drivers: A Survey
Previous Article in Journal
Evaluation of Harmonic Number Series Involving the Binomial Coefficient C(3n,n) in the Denominator by Integration
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Failed Skew Zero Forcing Numbers of Path Powers and Circulant Graphs

1
Department of Mathematical Sciences, University of Delaware, Newark, DE 19716, USA
2
Department of Mathematical Sciences, Lee University, Cleveland, TN 37311, USA
3
The Citadel—The Military College of South Carolina, Charleston, SC 29409, USA
4
School of Mathematics and Statistics, Rochester Institute of Technology, Rochester, NY 14623-5604, USA
*
Author to whom correspondence should be addressed.
AppliedMath 2025, 5(2), 32; https://doi.org/10.3390/appliedmath5020032
Submission received: 24 January 2025 / Revised: 24 February 2025 / Accepted: 17 March 2025 / Published: 24 March 2025

Abstract

:
For a graph G, the zero forcing number of G, Z ( G ) , is defined to be the minimum cardinality of a set S of vertices for which repeated applications of the forcing rule results in all vertices being in S. The forcing rule is as follows: if a vertex v is in S, and exactly one neighbor u of v is not in S, then the vertex u is added to S in the subsequent iteration. Now, the failed zero forcing number of a graph is defined to be the maximum size of a set of vertices which does not force all of the vertices in the graph. A similar type of forcing is called skew zero forcing, which is defined so that if there is exactly one neighbor u of v that is not in S, then the vertex u is added to S in the next iteration. The key difference is that vertices that are not in S can force other vertices. The failed skew zero forcing number of a graph is denoted by F ( G ) . At its core, the problem we consider is how to identify the tipping point at which information or infection will spread through a network or a population. The graphs we consider are where computers/routers or people are arranged in a linear or circular formation with varying proximities for contagion. Here, we present new results for failed skew zero forcing numbers of path powers and circulant graphs. Furthermore, we found that the failed skew zero forcing numbers of these families form interesting sequences with increasing n.

1. Introduction

A person has a secret which they have shared with all of their friends except one. In fairness, they decide that they need to share the secret with this other friend. Repeated iterations of this algorithm will either propagate the secret across the entire network or stall where the secret will no longer be shared. This process, which can be applied to the spread of infection or diseases, can be described with zero-forcing. For a graph G, the zero forcing number of G, Z ( G ) , is the minimum size of a set S of vertices in which repeated applications of the forcing algorithm (described below) ends with all vertices being in S. The forcing algorithm is as follows: if a vertex v is in S, and there is exactly one neighbor u of v that is not in S, then the vertex u is added to S in the subsequent iteration. Zero forcing numbers and related variants have been investigated and results have appeared in several papers, see for example Allison et al. [1], Ansill, Jacob, Penzellna, and Saavedra [2], Fallat and Hogben [3], Fetcie, Jacob, and Saavedra [4], Gomez et al. [5], Gomez et al. [6], Johnson, Vick, and Narayan [7], and Karst, Shen, and Vu [8]. An analogous problem is to investigate the maximum size of a set S that fails to force all of the vertices in a graph to be in S. This property is defined to be the failed zero-forcing number of a graph, and is denoted by  F ( G ) , and has sparked attention in recent years. Colorings can be used to represent failed zero forcing sets where the vertex in S will be called colored and the vertices not in S will be called uncolored. An interesting problem is how to determine the maximum size of a set S that fails to force all of the vertices in a graph to be in S. This threshold is called the failed zero forcing number of a graph, denoted by F ( G ) , see [4,9]. Shitov [10], proved that the problem of determining the failed zero forcing number of a graph is NP-complete. A classification of all graphs having a failed zero forcing number equal to 2 was determined by Gomez, Rubi, Terrazas, and Narayan [6]. An nearly equivalent property known as the zero blocking number of a graph was independently obtained in 2020 by Beaudouin-Lafona, Crawford, Chen, Karst, Nielsen, and Sakai Troxell [11] and Karst, Shen, and Vu [8]. The zero blocking number of a graph G equals | V ( G ) | F ( G ) . In 2010, the IMA-ISU research group [1] introduced the skew zero forcing. Here, any vertex that has all but one of its neighbors colored will force the last vertex to be forced. In 2016, Ansill, Jacob, Penzellna, and Saavedra [2] defined the failed skew zero forcing number, which is the maximum size of a set of vertices that fails to force all of the vertices in the graph. The skew zero forcing number was introduced as an approach for finding the minimum rank among all skew-symmetric matrices associated with a prescribed graph [1]. It also applies to the problem involving all symmetric matrices with zero diagonal. In skew zero forcing, if exactly one neighbor u of v is not in S, then u is added to S in the next iteration. The difference between skew zero forcing and zero forcing is that vertices that are not in S can force other vertices. This leads to the failed skew zero forcing number of a graph, which is denoted by F ( G ) . They obtained a classification of all graphs where F ( G ) = 0 . Johnson, Vick, and Narayan obtained a classification of all graphs where F ( G ) = 1  [7]. If a subset S * of colored vertices forces all of the vertices V in a graph, we say that S * skew forces (or simply forces) the graph, or state that S * = V . If a subset S * V of colored vertices fails to add more vertices at the next iteration, we will refer to the set S * as skew stalled (or simply stalled).
The forcing rule can be formally described in Algorithm 1.
Algorithm 1: Maximum-sized failed skew zero forcing set
Input: A graph G and a subset of vertices S
   Output: Maximum sized failed skew zero forcing set
   While G has a vertex v with only one neighbor u that is not in S.
   (a) Choose a vertex v with only one neighbor u that is not in S.
   (b) Add u to S.
We present an example of skew zero forcing in Figure 1.
Failed skew zero forcing numbers have been determined for paths, cycles, complete multipartite graphs, grid graphs, wheel graphs, and certain subfamilies of trees [2]. In 2023, Cooper and Fickes identified a connection between skew zero forcing and zero loci of null vectors [12].
Our focus will be on graphs where there are sets of vertices in close proximity. In Section 2, we investigate powers of paths. The kth power of a path P n is denoted P n k and is a graph with vertices v 1 , v 2 , , v n and edges between v i and v j if, and only if, i j k . We note that this family includes both paths and complete graphs, such as P n P n 1 and K n P n n 1 . However, we can investigate intermediate cases of path powers to uncover unexplored families of graphs.
In Section 3, we investigate circulant graphs. The circulant graph C n { A } , where A [ n ] , is the graph with a set of n vertices v 1 , v 2 , , v n and a set of edges equal to { v i v j : ( i j ) mod n A or ( j i ) mod n A } . Circulant graphs are of interest in failed skew zero forcing, as they have applications to small world networks, as defined by Watts and Strogatz [13], where nodes are able to reach most other nodes by paths with a small number of edges. In addition, circulant graphs have applications to deadlock-free routing. The multiple paths between vertices provide passage ways to avoid deadlocks, as noted by A. El-Mesady et al. [14]. The impact of these multiple paths is that the failed skew-forcing numbers for circulant graphs will be larger than those for cycles. The question is, how much? Our results quantify how much failed skew zero forcing numbers will increase.
We extend work by Gomez et al. [6] on failed zero forcing numbers of circulant graphs to failed skew zero forcing numbers. Certain sequences for failed skew zero forcing numbers path powers and circulant graphs are sequences A355067 and A355399 in the Online Encyclopedia for Integer Sequences [15,16].

2. Path Powers

The failed skew zero forcing number of paths was investigated by Ansill, Jacob, Penzellna, and Saavedra [2]. An interesting aspect of some of these graphs is that F ( P n ) may not exist. The smallest example is P 2 , where one vertex will force the second vertex and then the second vertex will force the first vertex. They proved that F ( P n ) = ( n 1 ) / 2 if n is odd and if n is even then F ( P n ) does not exist. When n is odd, the maximum-sized failed skew forcing set is obtained by starting with the second vertex and coloring every other vertex.
A path can be used to model a set of people arranged in a line where each person has one or two people in their proximity. We consider expanding the neighborhood of each person, so they can reach people that are not just adjacent but are within a prescribed distance k. This can be modeled using path powers, where P n k is a graph with vertices v 1 , v 2 , , v n and v i and v j are adjacent if, and only if, d ( v i , v j ) k . An example of a maximum-sized failed skew zero forcing set of a path is shown in Figure 2 and a maximum-sized failed skew zero forcing set of a square of a path is shown in Figure 3.
We continue with some basic results regarding the failed skew forcing number of path powers. We will use the term prefix to indicate the initial vertices of a path power.
Lemma 1.
For the graph P n r , if v i , , v i + 2 r 1 S where 1 i n 2 r + 1 , then all of the vertices in the graph will be forced.
Proof. 
Assume that v i , , v i + 2 r 1 S . Then v j will be forced one at a time by v j r for all i + 2 r j n and v h will be forced one at a time by v h + r for all 1 h i 1 . □
The next lemma shows that if we have a string of three colored vertices, they must have a string of three uncolored vertices both preceding and succeeding the string.
Lemma 2.
Let G = P n 2 where n 9 . Assume we have a failed skew zero forcing set where v i , v i + 1 , and v i + 2 are vertices that are colored. Then v i 3 , v i 2 , v i 1 , v i + 3 , v i + 4 , and v i + 5 must all be uncolored.
Proof. 
It suffices to consider cases for each of the uncolored vertices:
  • If v i 3 is colored, then v i 1 will force v i 2 and then v i will force v i 1 ;
  • If v i 2 is colored, then v i will force v i 1 . ;
  • If v i 1 or v i + 3 is colored, then we will have four consecutive colored vertices, which forces the graph;
  • If v i + 4 is colored, then v i + 2 will force v i + 3 ;
  • If v i + 5 is colored, then v i + 3 will force v i + 4 and then v i + 2 will force v i + 3 to create four consecutive colored vertices.
In the next lemma, we present lower bounds for the failed skew forcing number of squares of paths.
Lemma 3.
Let k 2 . Then F P 3 n 2 2 n 2 , F P 3 n + 1 2 2 n , and F P 3 n + 2 2 2 n 1 .
Proof. 
Let k 2 .
Coloring the vertices v 2 , v 3 , v 5 , v 6 , , v 3 n 4 , v 3 n 3 will result in a failed skew zero forcing set since every colored vertex will have two uncolored neighbors and the uncolored vertices will all have either zero or two uncolored neighbors. Hence, F P 3 n 2 2 n 2 .
Coloring the vertices v 2 , v 3 , v 5 , v 6 , , v 3 n 1 , v 3 n will result in a failed skew zero forcing set since every colored vertex will have two uncolored neighbors and the uncolored vertices will all have either zero or two uncolored neighbors. Hence, F P 3 n + 1 2 2 n .
Coloring the vertices v 2 , v 3 , v 5 , v 6 , , v 3 n 4 , v 3 n 3 , v 3 n will result in a failed skew zero forcing set since every colored vertex will have two uncolored neighbors and the uncolored vertices will all have either zero or two uncolored neighbors. Hence, F P 3 n + 2 2 2 n 1 . □
In our next lemma, we consider different prefixes that force all of the vertices in the path.
Lemma 4.
Let P = { v 1 , v 2 , v 3 , v 4 } be our prefix of four vertices. If P S { v 2 , v 3 } , v 1 , v 2 , and v 3 will not skew force. If | P S | > 1 and P S { v 2 , v 3 } , S will cause all of the vertices in the graph to be forced.
Proof. 
For this, we must consider the cases where v 1 , v 2 , v 3 , or v 4 are in S:
  • Case (i): Suppose { v 2 , v 3 } = P S . Then both neighbors of v 1 are in S and v 2 and v 3 have uncolored neighbors, v 1 and v 4 . So, v 1 , v 2 , and v 3 will not force.
  • Case (ii): Suppose { v 2 } = P S . Then v 1 will force v 3 since it v 3 is its only uncolored neighbor. Now we have the { v 2 , v 3 } = P S case.
  • Case (iii): Suppose { v 3 } = P S . Then v 1 will force v 2 since it v 2 is its only uncolored neighbor. Once again, we now have the { v 2 , v 3 } = P S case.
  • Case (iv): Now consider if { v 1 , v 2 } = P S . Then v 1 has only one neighbor not in S: v 3 . Now, P S = { v 1 , v 2 , v 3 } . It follows that v 2 now only has one uncolored neighbor, v 4 . Thus, P S = { v 1 , v 2 , v 3 , v 4 } . By Lemma 1, all of the vertices in the graph will be forced.
  • Case (v): Suppose P S = { v 1 , v 3 } . Then v 2 has one uncolored neighbor, v 4 . Now, P S = { v 1 , v 3 , v 4 } . Therefore, v 2 will skew force v 4 . Also, v 1 has one neighbor not in S, v 2 . Thus, P S = { v 1 , v 2 , v 3 , v 4 } and by Lemma 1, all of the vertices in the graph will be forced.
  • Case (vi): Suppose P S = { v 2 , v 4 } . Then v 1 has one neighbor not in S , v 3 , causing P S = { v 2 , v 3 , v 4 } . Now v 2 has only one neighbor not in S, v 1 , causing P S = { v 1 , v 2 , v 3 , v 4 } , and by Lemma 1, all of the vertices in the graph will be forced.
  • Case (vii): Suppose P S = { v 3 , v 4 } . Then v 1 has one neighbor not in S, v 2 , which it will skew force, causing P S = { v 1 , v 3 , v 4 } . Now v 3 has one neighbor outside S, v 1 , which it will skew force, causing P S = { v 1 , v 2 , v 3 , v 4 } , and by Lemma 1, all of the vertices in the graph will be forced.
  • Case (viii): Suppose P S = { v 1 , v 4 } . Then v 2 has one neighbor not in S, v 3 , which it will skew force into S, causing P S = { v 1 , v 3 , v 4 } . Now v 2 has one neighbor not in S, v 3 . Thus, P S = { v 1 , v 2 , v 3 , v 4 } and by Lemma 1, all of the vertices in the graph will be forced.
All cases where | P S | = 3 have now been covered, except P S = { v 1 , v 2 , v 4 } .
  • Case (ix): Suppose P S = { v 1 , v 2 , v 4 } . Then v 1 has one uncolored neighbor, v 3 . Thus, P S = { v 1 , v 2 , v 3 , v 4 } and by Lemma 1, all of the vertices in the graph will be forced.
Next, we present upper bounds for the square of paths.
Lemma 5.
Let k 2 . Then F P 3 n 2 2 n 2 , F P 3 n + 1 2 2 n , and F P 3 n + 2 2 2 n 1 .
Proof. 
We first consider when G = P 3 n 2 . By the pigeonhole principle, for the first 3 n 3 vertices we must have at most 2 n 2 vertices colored. We note that we cannot have 2 n 2 colored with the first vertex in the graph colored. As a result, the fourth and fifth to the last vertices must be colored. Then, by Lemma 4, the last three vertices must be uncolored. Hence, F ( G ) 2 n 2 .
Next, we consider when G = P 3 n + 1 2 . By the pigeonhole principle, for the first 3 n vertices we must have, at most, 2 n vertices colored. We note that we cannot have 2 n colored with the first vertex in the graph colored. Hence, F ( G ) 2 n .
Finally, we consider when G = P 3 n + 2 2 . Using the pigeonhole principle and trying to avoid three consecutively filled vertices, for the first 3 k 3 vertices we must have, at most, 2 k 2 vertices colored. We note that we cannot have 2 k 2 colored with the first vertex in the graph colored. This then leaves five vertices at the other end. At most, one of these can be colored. Hence, F ( G ) 2 n 2 + 1 = 2 n 1 .
Lemmas 3 and 5 can be combined into the following theorem.
Theorem 1.
Let n 7 . Then F P n 2 = 2 n 3 if n 1 mod 3 and F P n 2 = 2 n 3 + 2 otherwise.
We next consider the third powers of paths.
Lemma 6.
F ( P 4 n 3 ) = 3 n 2 .
Proof. 
First, consider S = { v i | i 1 mod 4 , i < 4 n 3 } { v 4 n } . We know then that | S | = 3 n 2 , and to see that S is skew stalled, note that for all v i for i < 4 n 3 that are in S, they have neighbors v j and v k outside of S, such that | i j | < 4 and | i k | < 4 , so they will not skew force. Furthermore, any v j S for j < 4 n 3 will have no neighbors outside of S, since any neighbor v k S would have | j k | = 4 , so they are not adjacent. So, we know that F ( P 4 n 3 ) 3 n 2 .
Now, to show F ( P 4 n 3 ) 3 n 2 , suppose | S | = 3 n 1 . We will show now that S will skew force all of V. So, if there are 3 n 1 vertices in S, then there are k + 1 white vertices to divide the colored vertices. If we color vertices v 1 and v 4 k , then we have k 1 remaining vertices. So, we will place 3 k 1 vertices across k sections. If we use 3 colored vertices in each section, then we have used a total of 3 k 6 vertices and are left with a surplus of 5 vertices, which can be split into 1 and 4 or 2 and 3, both of which would cause V S . Furthermore, if we use only 1 vertex in a section, we use 3 k 8 vertices, causing a surplus of 7 leftover colored vertices. Note that if we use only 1 vertex in more than one section, we are left with a surplus of 7 vertices or more across 2 sections, which would cause V S . For S to be a failed skew zero forcing set, | S | < 3 n 1 . Therefore, F ( P 4 n 3 ) = 3 n 2 . □
Lemma 7.
F ( P 4 n + 1 3 ) = 3 n .
Proof. 
Coloring all vertices except { v 4 i + 1 , 0 i k } gives a failed skew forcing set of size 3 k since each vertex has either 0 or 2 uncolored neighbors. Hence, F ( P 4 n + 1 3 ) 3 n . Now, we want to show that F ( P 4 n + 1 3 ) < 3 n + 1 . So, assume | S | = 3 n + 1 , implying that | V S | = n . First, we will focus on the first four vertices, { v 1 , v 2 , v 3 , v 4 } , and mirror those results to the last four vertices through symmetry. We know that if v 2 , v 3 , v 4 S and v 1 S , v 1 will not skew force. Furthermore, we know that if only 2 vertices of these first 4 and last 4 are in S, then there remains 3 n 3 vertices in S to be separated by n 4 vertices outside S, causing there to be a section of 3 vertices in S, one vertex outside S, and 4 more vertices in S, which would cause the uncolored vertex outside S to be forced by its neighbor in the longer string, which, by Lemma 2, would skew force the whole graph. Finally, if all 4 of the prefix vertices are in S, then v 2 will force v 5 , eventually causing V S .
So, we know that S must contain v 2 , v 3 , v 4 and v 4 n , v 4 n 1 , and v 4 n 2 to have the maximum number of vertices. However, with this prefix, S can only be defined as it is in Lemma 4 without causing S to skew force V. So, | S | < 3 n + 1 . Since we know F ( P 4 n + 1 3 ) 3 n and F ( P 4 n + 1 3 ) 3 n , we conclude that F ( P 4 n + 1 3 ) = 3 n + 1 . □
Lemma 8.
F ( P 4 n + 2 3 ) = 3 n 1 for n 2 .
Proof. 
Suppose S = { v i | i 1 mod 4 , i < 4 n 1 } { v 4 n + 1 } . Then | S | = 3 n 1 where n 2 . Notice that for all v i S where i < 4 n 1 , they have neighbors v j , v k S , such that | i j | < 4 and | i k | < 4 , which implies that v i will not skew force. Note that for any v j S , where j < 4 n 4 , v j has no neighbors not in S. Notice that v 4 n 3 , which is not in S, has neighbors v 4 n 1 , v 4 n S ; therefore, v 4 n 3 cannot skew force. This also shows that v 4 n 1 and v 4 n have at least two neighbors not in S meaning they cannot skew force. Similarly, v 4 n + 2 , which is not in S, also has neighbors v 4 n 1 , v 4 n S ; therefore, v 4 n + 2 cannot skew force. Thus, S is skew stalled and F ( P 4 n + 2 3 ) 3 n 1 . Now consider | S | = 3 k . So, there are k + 2 uncolored vertices to color on the graph. If we color v 1 and v 4 k + 1 outside S, we have k + 1 sections to include the colored vertices, spaced out by k uncolored vertices. Leaving the last section open, we are left with k 1 sections to initially color. Suppose we include 3 colored vertices in each of these k 1 sections, using 3 k 3 colored vertices. We are left with 3 vertices to color in our last 2 sections. However, this will cause v S ; either v 4 k + 2 will force v 4 k + 1 , or vice-versa. If we have one section with 1 colored vertex, we then have 3 k 5 vertices used, so we are left with 5 vertices in our surplus, which is taken care of by our surplus 5 Lemma. If we have more than 1 section with 1 colored vertex, we use 3 k 7 vertices and thus have a surplus of 7, which we know we cannot have without skew forcing the entire graph. So, we know that to prevent the whole graph from being skew forced, we must have | S | < 3 k .
Lemma 9.
F ( P 4 n + 3 3 ) = 3 n for n 2 .
Proof. 
Suppose S = { v i | i 1 mod 4 , i < 4 n } . Then | S | = 3 n where n 2 . Notice that for all v i S where i < 4 n , they have neighbors v j , v k S , such that | i j | < 4 and | i k | < 4 , which implies that v i will not skew force. Notice that for any v j S where j < 4 n has no neighbors outside of S, since for any neighbor v k S , | j k | = 4 which means they are not adjacent. For v 4 n + 1 , v 4 n + 2 , v 4 n + 3 S , they all have two neighbors not in S. S is skew stalled. Therefore, F ( P 4 n + 3 3 ) 3 n .
Now, suppose | S | = 3 n + 1 . So, we have k + 2 vertices outside of S to place on the graph and divide S. If we use 2 vertices outside S on v 1 and v 4 k + 3 , we have a total of k 1 vertices, to create k sections of colored vertices. If all sections are filled with 3 colored vertices, we use 3 k 3 colored vertices and are left with 4 to place, which can be split between 2 sections as 1–3, 2–2, or 0–4. In each situation, v 4 k + 2 will force v 4 k + 3 and v 4 k 1 , causing all of the vertices in the graph to be forced. Now suppose we put a single colored vertex in a section. Then we have used 3 k 5 , giving us 6 surplus vertices to use, splitting it 3–3, 2–4, or 1–5, all of which would cause V S . So, we know that in order to prevent V S , we can have, at a maximum, | S | = 3 k .
So, we can conclude F ( P 4 n + 3 3 ) = 3 n . □
We can combine Lemmas 8–11 to create the following theorem.
Theorem 2.
Let n > 7 . Then F ( P n 3 ) = 3 n 1 4 + c o s ( π n 2 ) .
When n 3 , the failed skew zero forcing numbers, in order, are 0, 1, 3, 3, 4, 4, 6, 5, 6, 7, 9, 8, 9, 10. This was submitted to the Online Encyclopedia of Integer Sequences and was approved as sequence A355067.
Now we consider the failed skew forcing number of P n 4 .
Lemma 10.
Let G = P n 4 . If P = { v 1 , v 2 , v 3 , v 4 , v 5 } and v 1 S and | P S | = 4 , then the entire graph will be forced.
Proof. 
We will prove the first case and the second case will follow by symmetry. Here, v 1 will force the vertex in v 2 , v 3 , v 4 , v 5 that is not in S, which will result in the first five vertices of the graph being in S. Then, if v 6 is not in S, it will be forced by v 2 . Then, if v 7 is not in S, it will be forced by v 3 . Then, if v 8 is not in S, it will be forced by v 3 . This creates 8 consecutively filled vertices in G which will force the graph. □
Lemma 11.
F ( P 5 n 4 ) = 4 n 2 .
Proof. 
First, to prove that F ( P 5 n 4 ) 4 n 2 , let S = { v i | i 1 mod 4 , i < 5 n 1 } . Then | S | = 4 n 2 . Notice that for all v i S where i < 5 n 1 , there exists two neighbors v j , v k S , such that | i j | < 5 and | i k | < 5 . Therefore, v i will not skew force. Notice that for any v j S where j < 5 n 8 , v j has no neighbors outside S because for any v k S , | j k | = 5 which shows they are not adjacent. Note that v 5 k 4 is not in S, but is adjacent to v 5 k , v 5 k 1 S ; therefore, it cannot skew force. This also shows that v 5 n and v 5 n 1 will not skew force. Thus, S is skew stalled.
To show that F ( P 5 n 4 ) < 4 n 1 , consider when | S | = 4 n 1 . Then, optimally, we can place strings with 4 vertices across n 2 sections, leaving 7 vertices to place between 2 sections. □
Lemma 12.
F ( P 5 n + 1 4 ) = 4 n .
Proof. 
Coloring vertices v 5 i + 1 , v 5 i + 2 , v 5 i + 3 , v 5 i + 4 for 0 i n 1 and leaving the remaining vertices uncolored shows that F ( P 5 n + 1 4 ) 4 n .
To prove that F ( P 5 n + 1 4 ) 4 n , consider when | S | = 4 n + 1 . Then, optimally, we can place strings of 4 vertices in n 3 sections, leaving 13 vertices to place between 3 sections. If we place 0 vertices on the end, then by the pigeonhole principle, one of these sections would be a string with 7 vertices, causing the all of the vertices in the graph to be forced. Furthermore, if we configure the 13 vertices across 3 sections, then we must have, for a string with a vetices being the furthest from the end, that a + b + c = 13 and, by Lemma 4, for P n 4 , b + c 3 . So, we must have that a = 10 , which would cause the whole graph to be skew forced. Therefore, F ( P 5 n + 1 4 ) 4 n , and we can conclude that F ( P 5 n + 1 4 ) = 4 n . □
Lemma 13.
F ( P 5 n + 2 4 ) = 4 n .
Proof. 
To prove that F ( P 5 n + 2 4 ) 4 n , let S = { v i | i 1 mod 4 , i < 5 n 1 } . Then | S | = 4 n . Notice that for all v i S where i < 5 n 1 , there exists neighbors v j , v k S , such that | i j | < 5 and | i k | < 5 . Therefore, v i will not skew force. Also note that for any v j S where j < 5 n 8 and for any v k S , | j k | = 5 which shows they are not adjacent, i.e., v j cannot skew force. Now consider the vertex v 5 n 4 , which has neighbors v 5 n 1 , v 5 n S ; therefore, it cannot skew force. This also shows that v 5 n 1 and v 5 n cannot skew force. By looking at the final vertices, v 5 n + 2 , v 5 n + 1 S , we can see they both have v 5 n 1 , v 5 n as neighbors, which implies that they cannot skew force. Thus, S is skew stalled.
To show that F ( P 5 n + 2 4 ) < 4 n + 1 , consider when | S | = 4 n + 1 . Then, we can place strings with 4 vertices across n 2 sections, leaving 9 vertices to be placed between 3 sections. If we leave no colored vertices on the end of the graph, then by the pigeonhole principle, one of these sections would be a string with 5 vertices, causing all of the vertices in the graph to be forced. If we have three sections, then with a string of a vertices being furthest from the end, we have that a + b + c = 9 and, by Lemma 4, b + c 3 . So, a = 6 , which would cause the entire graph to be skew forced. Thus, F ( P 5 n + 2 4 ) < 4 n + 1 , and we can conclude that F ( P 5 n + 2 4 ) = 4 n . □
Lemma 14.
F ( P 5 n + 3 4 ) = 4 n + 1 .
Proof. 
First, we prove that F ( P 5 n + 3 4 ) 4 n + 1 . Consider S = { v i | i 1 mod 4 , i < 5 n + 3 } { v 5 n + 1 , v 5 n + 2 , v 5 n + 3 } . Then | S | = 4 n + 1 . Notice that for all v i S where i < 5 k 1 , there exists neighbors v j , v k S , such that | i j | < 5 and | i k | < 5 . Therefore, v i will not skew force. Also note that for any v j S where j < 5 n 8 and for any v k S , | j k | = 5 , which shows they are not adjacent, i.e., v j cannot skew force. Now consider the vertex v 5 n 4 which has neighbors v 5 n 1 , v 5 n S ; therefore, it cannot skew force. This also shows that v 5 n 1 and v 5 n cannot skew force. By looking at the final vertices, v 5 n + 3 , v 5 n + 2 , v 5 n + 1 S , we can see that they all have v 5 n 1 , v 5 n as neighbors, which implies that they cannot skew force. Thus, S is skew stalled.
To prove that F ( P 5 n + 3 4 ) 4 n + 1 , consider when | S | = 4 n + 2 . At a maximum, we can fit n 2 sections of strings with 4 vertices, leaving 10 vertices to place across 3 sections. Having a string with 6 vertices would cause all of the vertices in the graph to be forced. So, consider when the sections are two strings with 5 vertices. Then, v 5 n + 2 will only have an uncolored neighbor, v 5 n + 3 , causing the whole graph to be skew forced. Furthermore, if we place the 10 across 3 sections, then by Lemma 4, the ending 5 vertices must have no more than 3 vertices in S, leaving a string with 7 vertices before them that would skew force the entire graph. Therefore, F ( P 5 n + 3 4 ) 4 n + 1 . □
Lemma 15.
F ( P 5 n + 4 4 ) = 4 n + 1 .
Proof. 
First, to prove that F ( P 5 k n + 4 4 ) 4 n + 1 , consider S = { v i | i 1 mod 4 , i < 5 n + 2 } { v 5 n + 4 } . Then | S | = 4 n + 1 . Notice that for all v i S where i < 5 n , there exists neighbors v j , v k S , such that | i j | < 5 and | i k | < 5 . Therefore, v i will not skew force. Also note that for any v j S where j < 5 k 3 and for any v k S , | j k | = 5 , which shows they are not adjacent, i.e., v j cannot skew force. Now consider the vertex v 5 n + 1 which has neighbors v 5 n + 2 , v 5 n + 3 S , which implies that it cannot skew force. This also shows that v 5 n + 2 and v 5 n + 3 cannot skew force. By looking at the final vertex v 5 n + 4 , which has neighbors v 5 n + 2 , v 5 n + 3 S , i.e., it cannot skew force, we know that S is skew stalled.
To prove F ( P 5 n + 4 4 ) 4 n + 1 , consider when | S | = 4 n + 2 . We will attempt to configure S in n + 1 sections with consecutive colored vertices such that it does not skew force the entire vertex set. So, distributing these as n 1 strings with 4 vertices leaves 6 vertices to place across 2 sections. If we place these at two adjacent sections with 3 consecutively colored vertices, v 5 n + 4 will skew force v 5 n , causing the entire graph to become skew forced. If we place these as strings with 4 vertices and a string with 2 vertices then the vertex following the strings with 2 vertices will skew force the vertex before the strings with 2 vertices, causing the entire graph to become skew forced. Finally, if we have the vertices as a strings with 5 vertices and a string with a single vertex, then the vertex after the string with a single vertex will skew force the vertex before the string with a single vertex, causing the entire graph to be skew forced. Now consider that if we are placing the vertices across three sections, we should consider placing v 5 n + 4 in S. Then, for a string with a vertices being our section furthest from v 5 n + 4 , we know that b + c 3 , so a must be a string with 3 vertices. Then, the vertex before the string with 3 vertices will skew force the vertex after, as it is preceded by a string with 4 vertices. This skew force will cause the whole graph to become skew forced. Therefore, F ( P 5 n + 4 4 ) 4 n + 1 . □

General Results for Path Powers

Next, we extend results from earlier in the section to state some general results involving failed skew zero forcing numbers of path powers.
Lemma 16.
F ( P ( s + 1 ) k s ) = s k 2 .
Proof. 
First, to prove F ( P ( s + 1 ) k s ) s k 2 , consider S = { v i | i 1 mod s + 1 , i < ( s + 1 ) k 1 } . For any two v i k and v i + j that are outside S, they are not neighbors since they are both in S:
| i k ( i + j ) | = | k j | = k + j = s .
Furthermore, any vertex v i will always have two neighbors outside S, since | i ( i k ) | = k < s and | i ( i + j ) | = j < s . So, S is skew stalled with | S | = s k 2 , creating the upper bound that F ( P ( s + 1 ) k s ) s k 2 .
Next we give another general result. □
Theorem 3.
Let k 2 . Then F ( P l ( k + 1 ) + 1 k ) = l k .
Proof. 
Let G = P l ( k + 1 ) + 1 k . Each vertex v i is a neighbor to v m if | i m | < l . Let S = { v i | i 1 mod l } . Then, for any v i + k , v i j S , they will not be neighbors since | i + k ( i j ) = | k + j | = l . Then, for each v i S , either v i has two neighbors v i + m , v i j outside S such that v i will not skew force since | i ( i j ) | = j < l and | i ( i + k ) | = k < l .
Now, assume F ( P l ( k + 1 ) + 1 k ) l k + 1 . Then we would have l k + 1 blue vertices and l white vertices. We need to place l k + 1 vertices into l + 1 sections. We first assume that the first section is empty. Then, we are left to place l k + 1 vertices into l sections. Placing k vertices in the first l 3 sections gives a total of k ( l 3 ) blue vertices. This leaves l k + 1 k ( l 3 ) = 3 k + 1 blue vertices to place in the last three sections, a, b, and c. By Lemma 4, we must have that if c 1 then b + c k 1 . This implies that a 2 k + 2 , which would force the entire graph. We next consider if the first section has one or more vertices. By Lemma 4, in order for the graph not to be stalled, the first two sections must contain, at most, a total of k 1 vertices. The same is true for the last two sections. Then, we would need to place at least l k + 1 ( k 1 ) ( k 1 ) = ( l 2 ) k + 2 blue vertices in the middle l 3 sections. By the pigeonhole principle, if we have more than l 3 2 k + l 3 2 ( k 1 ) vertices over l 3 sections then we will have two consecutive sections with k or more vertices, which will force the graph. Since we are placing ( l 2 ) k + 2 vertices and l 3 2 k + l 3 2 ( k 1 ) l 3 2 k + l 3 2 k = ( l 3 ) k ( l 2 ) k + 2 , the graph will be forced. □

3. Circulant Graphs

Failed skew zero forcing number of cycles were investigated by Ansill, Jacob, Penzellna, and Saavedra [2], where they proved that F ( C n ) = n / 2 if n > 2 and n is even and if n 3 and n is odd then F ( C n ) = 0 .
The circulant graph C n ( A ) , where A [ n ] , is the graph with set of n vertices v 1 , v 2 , , v n and set of edges equal to { v i v j : ( i j ) mod n A } .
We will refer to the cycle v 1 , v 2 , , v n and edges v 1 v 2 , v 2 v 3 , , v n 1 v n , v n v 1 as the ‘main cycle’ of the circulant graph. Applications of circulant graphs have been noted by Monakhova, Monakhov, and Yu [17] and Monakhov, Monakhova, and Kireev [18].
We will refer to a set of consecutively colored vertices as a string and a set of strings with k 1 , k 2 , , k t vertices separated by an uncolored vertex as a k 1 k 2 k t as a configuration.
In Figure 4, we give an example of graph where six consecutively colored vertices force the entire graph.
We recall a result of [5], which we restate as our next lemma.
Lemma 17.
A coloring of C n ( 1 , k ) , where n 2 k + 2 , with a string of 2 k filled vertices along the main cycle forms a zero forcing set.
The next lemma shows that if a failed skew zero forcing set contains a string of 3 colored vertices then there must be a string of 3 uncolored vertices both preceding and succeeding this string. We note that this limits the number of colored vertices in the graph, as it only allows for a third of the vertices to be colored.
Lemma 18.
In C n ( 1 , 2 ) , if v i , v i + 1 , and v i + 2 S , and if any of the following vertices v i 3 , v i 2 , v i 1 , v i + 3 , v i + 4 , or v i + 5 S , then V S by skew forcing. Furthermore, if v i 4 or v i + 6 S with only the first 3 vertices, S will be stalled.
Proof. 
Let v i , v i + 1 , and v i + 2 S . By symmetry, it suffices to show that if v i 1 , v i 2 , or v i 3 S , then V S and that if v i 4 or v i + 6 S , where S = { v i , v i + 1 , v i + 2 } , then S will be stalled. Cases (i)–(iii) cover the cases where one of the three vertices preceding (or succeeding) v i , v i + 1 , and v i + 2 are in S and the last case shows that the graph is stalled if none of these vertices are in S:
  • Case (i): Suppose v i 3 S . Then v i 1 has only one neighbor not in S, v i 2 . Then, by the forcing rule, v i 2 S . Then v i 2 will force v i 1 S . By Lemma 17, this will lead to V S .
  • Case (ii): Suppose v i 2 S . Then v i has only one neighbor not in S, v i 1 . Thus, it will force v i 1 S . By Lemma 17 this will lead to V S .
  • Case (iii): Suppose v i 1 S . By Lemma 17, we have V S .
  • Case (iv): Suppose v i 4 or v i + 6 S , where S = { v i , v i + 1 , v i + 2 } . Then neither new vertex will be able to skew force. Furthermore, each uncolored vertex between v i 4 or v i + 6 and the rest of S will have at least two neighbors outside of S. Finally, v i , v i + 1 , v i + 2 will each have two neighbors not in S. So, no vertex will force any other vertex.
Thus, V S unless there exists 3 vertices not in S both preceding and succeeding the 3 vertices in S.
Lemma 19.
For C 3 n + 2 ( 1 , 2 ) , there cannot be 2 n + 1 vertices in S that fit into n + 1 sections without causing V S .
Proof. 
We will prove this using two cases, both of which involve sets of three colored vertices that will force all vertices in the graph. It suffices to consider a set of four consecutive vertices three of which are colored and another case involving three consecutively colored vertices.
  • Case i: We know that if we have v i , v i + 1 , v i + 3 S , and v i + 2 , v i + 4 S , that v i + 2 will skew force v i + 4 into S. Then, if v i + 5 S , we need 2 n + 1 in n sections, which is more difficult than fitting 2 n + 1 into n + 1 sections. If v i + 5 S , we have a string of 4 vertices which will cause all vertices in the graph to be forced.
  • Case ii: Suppose there exists at least one string with 3 colored vertices. This implies that the next three vertices are not in S and the previous 3 are not in S if we desire S to stall. So after a configuration of i strings of 3 vertices, we are left with 2 n 3 i + 1 vertices and n + 1 ( 2 i + 1 ) n 2 i sections. This shows us that, at its minimum,
    2 n 3 i + 1 n 2 i > 2 2 n 3 i + 1 > 2 n 4 i i < 1
    which contradicts the assumption that i N . Hence, the inequality holds for any positive number of strings of 3 vertices. So, after considering all strings with 3 vertices, the average number of vertices in a section is greater than 2, implying that there must be a string of 4 vertices, which would skew force the entire graph.
Lemma 20.
For C 3 n + 1 ( 1 , 2 ) , there cannot be 2 n 1 vertices in S that fit into n 2 sections without causing V S .
Proof. 
The proof is similar to the proof of Lemma 19. We will prove this using two cases, both of which involve sets of three colored vertices that will force all of the vertices in the graph. It suffices to consider a set of four consecutive vertices, three of which are colored, and another case involving three consecutively colored vertices:
  • Case i: We know that if we have v i , v i + 1 , v i + 3 S , and v i + 2 , v i + 4 S , that v i + 2 will skew force v i + 4 into S. Then, if v i + 5 S , we need 2 n 1 colored vertices in n 3 sections, which is more difficult than fitting 2 n 1 colored vertices into n 2 sections. If v i + 5 S , we have a string of four colored vertices which leads to V S by Lemma 17.
  • Case ii: Suppose there exists at least one string with 3 vertices. This implies that the next three vertices are not in S and the previous 3 are not in S if we desire S to stall. So, after a configuration with i strings with 3 vertices, we are left with 2 n 3 i + 1 vertices and n 2 ( 2 i + 1 ) n 2 i sections. This shows us that, at its minimum,
    2 n 3 i 1 n 2 i > 2 2 n 3 i 1 > 2 n 4 i 6 5 > i
    and i N , so the inequality holds for copies of strings with 3 vertices. So, after considering all strings with 3 vertices, the average number of vertices in a section is greater than 2, implying that there must be four consecutive colored vertices, which would force the entire graph.
We precede our next result with an example in Figure 5.
Lemma 21.
F ( C 3 n ( 1 , 2 ) ) = 2 n for n 2 .
Proof. 
To show that F ( C 3 n ( 1 , 2 ) ) 2 n , consider S = { v i | i 0 mod 3 } . If F ( C 3 n ( 1 , 2 ) ) 2 n + 1 , we must have either a string of 4 vertices or a string of 3 vertices that does not have 3 uncolored vertices on either side. Hence, by Lemma 17 or Lemma 18, the graph will be forced. □
Lemma 22.
F ( C 3 n + 2 ( 1 , 2 ) ) = 2 n for n 1 .
Proof. 
We must show that F ( C 3 n + 2 ( 1 , 2 ) ) 2 n . To do this, consider S = { v i | i 0 mod 3 , i < 3 n 1 } { v 3 n + 1 , v 3 n + 2 } . Here, S is stalled, as no vertex will have exactly one neighbor outside of S.
By the above lemma, we know that 2 n + 1 vertices cannot be placed onto C 3 n + 2 ( 1 , 2 ) without causing V S by Lemma 17 or Lemma 18. □
For the case with 3 n + 1 vertices, we first consider small cases where n = 1 and 2.
When n = 1 , 3 n + 1 = 4 so coloring two non-adjacent vertices gives F ( C 4 ( 1 , 2 ) ) 2 . This size is a maximum since F ( G ) | V ( G ) | 2 .
When n = 2 , 3 n + 1 = 7 so coloring vertices v 1 , v 3 , and v 5 gives F ( C 4 ( 1 , 2 ) ) 3 . This size is a maximum since F ( C 4 ( 1 , 2 ) ) 4 would imply there is a pair of consecutively colored vertices. There cannot be two pairs of consecutively colored vertices separated by a single uncolored vertex, since a vertex that is adjacent to a vertex in exactly one of the pairs of colored vertices would have exactly one colored neighbor.
Lemma 23.
F ( C 3 n + 1 ( 1 , 2 ) ) = 2 ( n 1 ) for n 3 .
Proof. 
We will first show that F ( C 3 n + 1 ( 1 , 2 ) ) 2 ( n 1 ) . Consider S = { v i | i 0 . mod 3 } { v 3 n 2 , v 3 n 1 , v 3 n + 1 } . Then, each vertex does not have exactly one neighbor in S, so S is skew stalled. To show that F ( C 3 n + 1 ( 1 , 2 ) ) 2 ( n 1 ) , note that by the lemma regarding fitting 2 n 1 vertices in S onto the graph without V S , there is not way to fit 2 n 1 vertices onto the graph without skew forcing all vertices by Lemma 17 or Lemma 18. So, F ( C 3 n + 1 ( 1 , 2 ) ) 2 ( n 1 ) .
Therefore, F ( C 3 n + 1 ( 1 , 2 ) ) = 2 ( n 1 ) .
  • Case i: Consider v 3 n + 1 S or v 3 n 3 S ; because of symmetry, they are handled the same. Without loss of generality, choose v 3 n + 1 S . This would cause 3 vertices in S to be in a row: v 3 n + 1 , v 1 , and v 2 . However, there would only be 3 vertices not in S on one side and not the other, which would cause all of the vertices in the graph to be forced.
  • Case ii: Now suppose v 3 n S or v 3 n + 2 S ; again because of symmetry, they are handled the same. Without loss of generality, choose v 3 n S . Then, v 3 n + 1 would only have one neighbor not in S, v 3 n 1 , which it would force into S. It follows that v 3 n 3 would then force v 3 n 2 into S which would force v 3 n 3 into S as well. This creates more than 4 vertices in a row which would force all of the vertices in the graph.
  • Case iii: Finally, suppose v 3 n 1 S . Then, v 3 n 1 would have one neighbor not in S, v 3 n , which would force it into S. Now, v 3 n 3 would force v 3 n 2 . This creates 3 vertices in a row without 3 vertices not in S on both sides, which forces all of the vertices in the graph to be forced.
Therefore, F ( C 3 n + 1 ( 1 , 2 ) < 2 n 1 . Thus, F ( C 3 n + 1 ( 1 , 2 ) = 2 ( n 1 ) . □
Lemmas 21–23 can be combined to form the following theorem.
Theorem 4.
When n 11 , F C n ( 1 , 2 ) = 2 ( n 3 ) + 2 n 3 n 3 + 1 n 3 n 3 + 1 1 .
For n 3 , the failed skew zero forcing numbers, in order, are 0, 1, 2, 4, 3, 4, 6, 5, 6, 8, 6, 8, 10, 8, 10. This was submitted to the Online Encyclopedia of Integer Sequences (OEIS) and is now listed as sequence A355067.
When 3 n 10 , the failed skew zero forcing numbers of C n 2 are 0 , 1 , 2 , 4 , 3 , 4 , 6 , 5 and when n 11 , the number is 2 ( n 3 ) + 2 n 3 n 3 + 1 n 3 n 3 + 1 1 .
Lemma 24.
If there exist n 1 partitions of 3 n + 1 vertices on a C 4 n ( 1 , 3 ) , then all of the vertices in the graph will be forced.
Proof. 
(By induction) First, consider the case where n = 2 and 7 vertices on C 8 ( 1 , 3 ) are colored. Then, by Lemma 17, all vertices in the graph will be forced.
Now consider n = 4 . To show that 13 vertices cannot fit in 3 partitions, first see that by the pigeonhole principle, there must be a partition with 5 or more vertices inside. However, if it is then adjacent to a partition with 2 or more vertices, it will cause all vertices in the graph to be forced. So, assume its neighboring partition has 1 vertex. Then the third partition will contain 7 vertices and by n = 2 case, this will cause all vertices in the graph to be forced.
Suppose that the result holds for n 3 . Then, this will imply that the theorem also holds for n 1 . Suppose n 1 partitions of 3 n + 1 vertices on a C 4 n ( 1 , 3 ) causes V S . That is, suppose there are n 1 partitions and need to fit 3 n + 1 vertices into the n 1 partitions, for n > 4 . Note that 3 n + 1 n 1 = 4 for all n > 4 . So, by the pigeonhole principle, there exists at least one partition with 4 or more vertices. Then if its neighboring partition has 2 or more vertices inside, V S . So, assume its neighbor partition has one vertex. Then, there remain 3 n 4 vertices to place in n 2 partitions. By the n 3 case, this is impossible to achieve without all of the vertices in the graph being forced. So, F ( C 4 n ( 1 , 3 ) ) < 3 n + 1 . So, the result holds for all k < n .
Now suppose there n partitions in which we need to place 3 n + 4 vertices into. By the pigeonhole principle, there exists at least one partition with 4 or more vertices inside. Then, if its neighboring partition has 2 or more vertices inside, V S . So, assume its neighboring partition has 1 vertex. Then there remains 3 n 1 vertices to fit into n 2 partitions. However, we know that we cannot do this without V S since, by inductive hypothesis, the theorem holds for n 2 , since n 2 < n .
By induction, the lemma holds for all n. □
Theorem 5.
F ( C 4 n ( 1 , 3 ) ) = 3 n , and F ( C 4 n + 2 ( 1 , 3 ) ) = 3 n + 1 .
Proof. 
We have F ( C 4 n ( 1 , 3 ) ) 3 n by using a configuration of alternating strings of 3 followed by an uncolored vertex. The upper bound follows by Lemma 24. We have F ( C 4 n + 2 ( 1 , 3 ) ) 3 n + 1 by using two configurations of alternating strings of 2 vertices followed by an uncolored vertex, and n 1 configurations of alternating strings of 3 vertices followed by an uncolored vertex. The upper bound follows by Lemma 24. □
Theorem 6.
F ( C k n + n ( 1 , k ) ) = k n , k 2 , n 2 .
Proof. 
First, we will show that F ( C k n + n ( 1 , k ) k n .
Let S = { v i | i 0 , mod k + 1 } ; V S = { ( k + 1 ) m | m Z + } . So, without loss of generality, we know that v 1 has neighbors v 2 , v k + 1 , v k ( n 1 ) + 1 , v ( k + 1 ) n . We know v 1 , v 2 , and v k ( n 1 ) + 1 S . We also know that v k + 1 and v ( k + 1 ) n ) S . So, v 1 does not have exactly one neighbor outside of S. Therefore, v 1 cannot skew force. Additionally, v k + 1 has neighbors v 1 , v k , v 1 + 2 k , and v 2 + k S . Note that v k + 1 has neighbors v 1 , v k , v 2 k + 1 , v k + 2 ; v k + 1 has zero neighbors in S which implies that v 1 + k is stalled. Therefore, F ( C k n + n ( 1 , k ) k n .
The upper bound F ( C k n + n ( 1 , k ) ) k n follows since F ( G ) F ( G ) (Theorem 4.1 in [2]) and F ( C k n + n ( 1 , k ) k n ) (Theorem 15 in [6]). □

4. Conclusions

In addition to the results of this paper, failed skew forcing numbers are known only for specific families of graphs such as paths, cycles, complete multipartite graphs, grid graphs, wheel graphs, and certain sub-families of trees [4]. Here, we extended known results for failed skew forcing number for paths and cycles to path powers and circulant graphs.
We note that failed skew forcing numbers have been determined for extreme cases of path and cycle powers, which include paths, cycles, and complete graphs. It would be interesting to look at other powers of paths and cycles.
We pose the larger open problems for future research.
Problem 1.
Determine F ( P n k ) for all 1 k n .
Problem 2.
Determine F ( C n k ) for all 1 k n .
We next pose a problem for circulant graphs with two values, one of which is 1. Variants could be considered for more values without specifications.
Problem 3.
Determine F ( C n ( 1 , k ) ) for all 1 k n .
Other problems to consider are how to investigate the failed skew forcing number for trees or unicyclic graphs.

Author Contributions

Conceptualization, A.J.; methodology, A.V. and D.A.N.; software, R.F.; investigation, A.J., A.V. and D.A.N.; writing—original draft, A.J., A.V. and D.A.N.; writing—review and editing, D.A.N.; funding acquisition, D.A.N. All authors have read and agreed to the published version of the manuscript.

Funding

This research was partially funded by the National Science Foundation Research Experiences for Undergraduates Award No. 1950189.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.

Acknowledgments

We are grateful to the referees that provided valuable feedback on our paper which improved the presentation of our paper.

Conflicts of Interest

There are no conflicts of interest.

References

  1. Allison, M.; Bodine, E.; DeAlba, L.; Debnath, J.; DeLoss, L.; Garnett, C.; Grout, J.; Hogben, L.; Im, B.; Kim, H.; et al. IMA-ISU research group on minimum rank. Minimum rank of skew-symmetric matrices described by a graph. Linear Algebra Its Appl. 2010, 32, 2457–2472. [Google Scholar]
  2. Ansill, T.; Jacob, B.; Penzellna, J.; Saavedra, D. Failed skew zero forcing on a graph. Linear Algebra Its Appl. 2016, 509, 40–63. [Google Scholar] [CrossRef]
  3. Fallat, S.M.; Hogben, L. The minimum rank of symmetric matrices described by a graph: A survey. Linear Algebra Its Appl. 2007, 426, 558–582. [Google Scholar] [CrossRef]
  4. Fetcie, K.; Jacob, B.; Saavedra, D. The Failed Zero-Forcing Number of a Graph. Involve 2015, 8, 99–117. [Google Scholar] [CrossRef]
  5. Gomez, L.; Rubi, K.; Terrazas, J.; Narayan, D. All Graphs with a Failed Zero Forcing Number of Two. Symmetry 2021, 13, 2221. [Google Scholar] [CrossRef]
  6. Gomez, L.; Rubi, K.; Terrazas, J.; Flórez, R.; Narayan, D. Failed Zero Forcing Numbers of Trees and Circulant Graphs. Theory Appl. Graphs 2025, 11, 5. [Google Scholar]
  7. Johnson, A.; Vick, A.; Narayan, D.A. Characterization of All Graphs with a Failed Skew Zero Forcing Number of 1. Mathematics 2022, 10, 4463. [Google Scholar] [CrossRef]
  8. Karst, N.; Shen, X.; Vu, M. Blocking zero forcing processes in Cartesian products of graphs. Discret. Appl. Math. 2020, 285, 380–396. [Google Scholar] [CrossRef]
  9. Adams, A.; Jacob, B. Failed zero forcing and critical sets on directed graphs. arXiv 2019, arXiv:1911.06705. [Google Scholar]
  10. Shitov, Y. On the complexity of failed zero forcing. Theor. Comput. Sci. 2017, 660, 102–104. [Google Scholar] [CrossRef]
  11. Beaudouin-Lafona, M.; Crawford, M.; Chen, S.; Karst, N.; Nielsen, L.; Troxell, D.S. On the zero blocking number of rectangular, cylindrical, and Möbius grids. Discret. Appl. Math. 2020, 285, 380–396. [Google Scholar] [CrossRef]
  12. Cooper, J.; Fickes, G. Zero loci of nullvectors and skew zero forcing in graphs and hypergraphs. arXiv 2023, arXiv:2303.17419. [Google Scholar] [CrossRef]
  13. Watts, D.J.; Strogatz, S.H. Collective dynamics of ‘small-world’ networks. Nature 1998, 393, 440–442. [Google Scholar] [CrossRef] [PubMed]
  14. El-Mesady, A.; Romanov, A.; Amerikanov, A.A.; Ivannikov, A.D. On Bipartite Circulant Graph Decompositions Based on Cartesian and Tensor Products with Novel Topologies and Deadlock-Free Routing. Algorithms 2023, 16, 10. [Google Scholar] [CrossRef]
  15. Johnson, A.; Vick, A.; Narayan, D.A. a(n) Is the Failed Skew Zero Forcing Number of P n 3 Entry A355067. On-Line Encycl. Integer Seq. Available online: https://oeis.org/A355067 (accessed on 16 March 2025).
  16. Johnson, A.; Vick, A.; Narayan, D.A. a(n) Is the Failed Skew Zero Forcing Number of C n 2 Entry A355399. On-Line Encycl. Integer Seq. Available online: https://oeis.org/A355399 (accessed on 16 March 2025).
  17. Monakhova, E.A.; Monakhov, O.G.; Romanov, A.Y. Routing Algorithms in Optimal Degree Four Circulant Networks Based on Relative Addressing: Comparative Analysis for Networks-on-Chip. IEEE Trans. Netw. Sci. Eng. 2023, 10, 413–425. [Google Scholar] [CrossRef]
  18. Monakhov, O.; Monakhova, E.; Kireev, S. Parallel Generation and Analysis of Optimal Chordal Ring Networks Using Python Tools on Kunpeng Processors. In Lecture Notes in Computer Science, Proceedings of the Parallel Computing Technologies (PaCT 2023), Astana, Kazakhstan, 21–25 August 2023; Springer: Cham, Switzerland, 2023; pp. 126–135. [Google Scholar] [CrossRef]
Figure 1. Skew zero forcing of C 5 starting with a single colored vertex.
Figure 1. Skew zero forcing of C 5 starting with a single colored vertex.
Appliedmath 05 00032 g001
Figure 2. A maximum-sized failed skew zero forcing set of P 7 .
Figure 2. A maximum-sized failed skew zero forcing set of P 7 .
Appliedmath 05 00032 g002
Figure 3. A maximum-sized failed skew zero forcing set of P 7 2 .
Figure 3. A maximum-sized failed skew zero forcing set of P 7 2 .
Appliedmath 05 00032 g003
Figure 4. A string of six blue vertices which forms a zero forcing set of C 12 { 1 , 3 } .
Figure 4. A string of six blue vertices which forms a zero forcing set of C 12 { 1 , 3 } .
Appliedmath 05 00032 g004
Figure 5. A maximum sized failed skew zero forcing set of C 12 { 1 , 2 } .
Figure 5. A maximum sized failed skew zero forcing set of C 12 { 1 , 2 } .
Appliedmath 05 00032 g005
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Johnson, A.; Vick, A.; Flórez, R.; Narayan, D.A. Failed Skew Zero Forcing Numbers of Path Powers and Circulant Graphs. AppliedMath 2025, 5, 32. https://doi.org/10.3390/appliedmath5020032

AMA Style

Johnson A, Vick A, Flórez R, Narayan DA. Failed Skew Zero Forcing Numbers of Path Powers and Circulant Graphs. AppliedMath. 2025; 5(2):32. https://doi.org/10.3390/appliedmath5020032

Chicago/Turabian Style

Johnson, Aidan, Andrew Vick, Rigoberto Flórez, and Darren A. Narayan. 2025. "Failed Skew Zero Forcing Numbers of Path Powers and Circulant Graphs" AppliedMath 5, no. 2: 32. https://doi.org/10.3390/appliedmath5020032

APA Style

Johnson, A., Vick, A., Flórez, R., & Narayan, D. A. (2025). Failed Skew Zero Forcing Numbers of Path Powers and Circulant Graphs. AppliedMath, 5(2), 32. https://doi.org/10.3390/appliedmath5020032

Article Metrics

Back to TopTop