1. Introduction
Let
be a finite simple undirected graph. We write
when
u and
v are adjacent. The
girth is the length of a shortest cycle in
G, and a cycle of length
is called a
girth cycle. A graph is
edge-transitive if its automorphism group acts transitively on its edge set. Standard graph-theoretic terminology can be found in [
1,
2].
The graphs
were introduced by Lazebnik and Ustimenko in [
3], following their earlier algebraic constructions of graphs with a large girth [
4]. Since then, their girth, connectivity, symmetry, and spectra have been studied extensively; see, for example, Refs. [
3,
5,
6,
7,
8,
9,
10,
11,
12] and the recent survey conducted in [
13] (shown in Section 6).
We recall the definition of
here because the coordinate recurrences are used throughout the paper. Let
and let
q be a prime power. The two partite sets of
are copies of
. We write points as
and lines as
. A point
and a line
are adjacent when
The survey conducted by Lazebnik and Wang first recalls an earlier sign convention for
and then, as shown in Section 6.1, passes via Proposition 38 to the equivalent coordinate representation used above (see Section 6.1, Proposition 38 from [
13]). We use this equivalent representation throughout and keep its definition in the Introduction because the recurrences are used explicitly in the proof.
Girth cycles encode finer local information than the girth alone. Their enumeration is relevant to extremal questions and to local regularity conditions on graphs; see, for example, Refs. [
11,
14,
15,
16]. In particular, Solymosi and Wong [
16] obtain optimal asymptotic lower bounds for the number of even cycles of any fixed length in sufficiently large graphs of prescribed girth, while Gerbner, Győri, Methuku and Vizer [
14] place related cycle-counting questions in the generalized Turán framework. Xu, Cheng and Tang [
11] determine the girth cycles of several small members of the family
. Thus, once the girth of a structured graph family is understood, it is natural to ask how many shortest cycles occur and how uniformly they are distributed over the edges.
We use the following formulation, which appears as Conjecture 46 in the published survey of Lazebnik and Wang (Conjecture 46 from [
13]). As explained immediately before that conjecture, the statement was given in [
17] for prime powers
, while the survey extends the stated range to include
.
Conjecture 1. For all prime powers , the graph has girth when k is odd and when k is even.
The conjecture remains open in general; a summary of the known cases and recent progress is given in Section 6.3 (from [
13]).
An appropriate framework for counting shortest cycles is edge-girth-regularity. Following Jajcay, Kiss and Miklavič [
15], an
edge-girth-regular graph with parameters
, denoted by
, is a
c-regular graph on
v vertices with girth
g such that every edge lies in exactly
girth cycles. Every finite regular edge-transitive graph of finite girth is edge-girth-regular, although the converse need not hold. The parameter
measures a local multiplicity that is invisible from the usual parameters
v,
c, and
g. For example, the complete graph
is an
-graph, while the Heawood graph is an
-graph [
15]. Edge-girth-regularity is therefore a natural refinement when one wants to distinguish graphs with the same order, degree, and girth but different distributions of shortest cycles. Jajcay et al. [
15] also showed that the class is broader than the edge-transitive setting, so determining
is of independent structural interest rather than merely a reformulation of symmetry.
Subsequent work has developed both the extremal and constructive aspects of edge-girth-regularity. Araujo-Pardo and Leemans [
18] constructed further infinite families from incidence geometry and Suzuki groups; in particular, they obtained an extremal family with parameters
for prime powers
. More recently, Goedgebeur and Jooken [
19] developed exhaustive-generation methods for edge-girth-regular graphs. These results illustrate that the parameter
is useful not only for describing highly symmetric examples but also in extremal and computational questions. The family
considered here has a different parameter regime, with degree growing with
q and a girth of 8, except for
, where the girth is 12. An explicit determination of
for this family therefore supplies concrete algebraic examples to the broader edge-girth-regular framework.
A closely related local regularity notion has recently been studied systematically by Jajcay, Jooken and Porupsánszki [
20]. A
c-regular graph of order
v and girth
g is called
vertex-girth-regular, denoted by
, if every vertex lies on exactly
girth cycles. Every edge-girth-regular graph is vertex-girth-regular: indeed, if
G is an
-graph, then each of the
c edges incident with a fixed vertex lies on
girth cycles and each such cycle uses exactly two incident edges, so
G is a
-graph (see Observation 6 from [
20]). This recent vertex-based framework will allow us to interpret our fixed-edge count from a second local viewpoint in
Section 4.
There is also an intermediate local notion, namely girth-regularity, introduced by Potočnik and Vidali [
21]. For a vertex
u, one records the number of girth cycles containing the individual edges incident with
u and orders these numbers into a signature; a graph is girth-regular when the same signature occurs at every vertex. Stability phenomena for girth-regular graphs of even girth were subsequently studied by Kiss, Miklavič and Szőnyi [
22]. An edge-girth-regular graph has the constant signature
and is therefore automatically girth-regular as well as vertex-girth-regular. Thus, the fixed-edge parameter computed in this paper simultaneously determines three levels of local information for
: the number of shortest cycles through an edge, the resulting signature at a vertex, and the total number of shortest cycles through a vertex. This observation is particularly natural here because edge-transitivity makes the edge parameter independent of the chosen edge.
In our previous work (Problem 5.4 from [
23]), we asked for the edge-girth-regular parameter of both the Lie graph
and the graphs
for
. The part of that problem concerning
is as follows:
Problem 1. Determine the edge-girth-regular parameter λ of for .
The present paper resolves Problem 1 for
. For
, we determine the precise multiplicity of shortest cycles through each edge and then the global count. The formulas reveal a genuine characteristic-dependent phenomenon: the local number of 8-cycles through an edge is
in odd characteristic but
in characteristic two. The proof is constructive. We introduce an isomorphic model
whose adjacency equations make an 8-cycle through a fixed edge amenable to explicit parametrization. The resulting three equations are then solved completely, with all non-backtracking conditions incorporated into the count. The remaining case
, whose girth is 12, is treated separately in
Section 4.
This paper is organized as follows:
Section 2 illustrates the defining recurrences, records the symmetry and counting facts used later, and proves
.
Section 3 derives the fixed-edge parametrization and proves the main counting theorem in detail.
Section 4 records consequences for edge- and vertex-girth-regularity, treats the exceptional case
, and gives small-parameter computational checks.
Section 5 summarizes the results and indicates natural directions for further work. The 12-cycle types for
were also studied by Xu, Cheng and Tang [
11]; in
Section 4, we give a direct fixed-edge count adapted to the present edge-girth-regular setting.
2. Preliminaries and an Isomorphic Model of
We begin with a concrete illustration of the recurrences defined in the introduction. Recall that the graph
is a bipartite graph defined over the finite field
. The adjacency relationship between a point
and a line
is as follows:
This example explains why the successive first coordinates are the natural parameters for the cycle computation.
Example 1. The defining equations can be read recursively. Fix a point of and prescribe the first coordinate of a neighboring line. The remaining coordinates are then uniquely determined by , , and . For instance, in , if and , then , , and in , so . Since s can be chosen arbitrarily in , every point has exactly q neighbors. The same argument starting from a line shows that every line also has degree q. Hence, is q-regular.
The preceding example also explains why the first coordinate is the natural parameter in later walks. If a point
and the first coordinate
s of a neighboring line are fixed, there is no remaining choice: the other three line coordinates are determined in order. Conversely, if a line
and the first coordinate
r of a neighboring point are fixed, then
,
, and
. Thus, a walk can be specified by recording only the successive first coordinates, while all other coordinates are recovered recursively. This observation is elementary, but it is the mechanism behind the six-parameter description in
Section 3. Thus,
has
vertices and
edges.
The symmetry recorded next is the reason why the later cycle enumeration can be carried out locally. Once edge-transitivity is known, the number of girth cycles through an edge is constant on the whole edge set. Therefore, one may choose the edge whose coordinates are most convenient, compute the corresponding local multiplicity once, and recover the total number of girth cycles by double counting. In the present paper we choose the zero edge . The isomorphism with is useful precisely because the triangular equations in that model allow all remaining coordinates along a walk through this fixed edge to be recovered from first-coordinate data. The same local-to-global principle is used twice: for 8-cycles when and for 12-cycles when . In this way, the algebraic parametrization and edge-transitivity play complementary roles rather than independent ones.
An important observation is that every finite regular edge-transitive graph of finite girth is edge-girth-regular. Since is q-regular, the following lemma, together with this observation, demonstrates the edge-girth-regularity of .
Lemma 1 (Theorem 3.2 from [
3])
. The graph is edge-transitive for all k and q. Let denote the number of girth cycles of . The subsequent lemma shows that can be obtained using the parameters associated with the edge-girth-regularity of .
Lemma 2 (Proposition 2.3 (iii) from [
15])
. Let Γ be an edge-girth-regular graph with parameters . Then . For completeness, let . Counting first by edges gives , whereas counting first by girth cycles gives , because every girth cycle contains exactly g edges. Equating the two expressions gives the displayed formula. This simple double count is the final step that turns our fixed-edge enumeration into the global count.
For the counting argument it is convenient to replace
by a model whose last two adjacency equations depend only on the first coordinates. Let
be the bipartite graph with the same two partite sets
, where
and
are adjacent if
It should be noted that the graph
exhibits
q-regularity (every vertex has exactly
q neighbors). The reason is that for any vertex
and
, there exists a unique vertex
b such that
a is adjacent to
b and the first component of
b is
x. Similarly,
is also a
q-regular graph.
Next, we recall the definition of graph isomorphism between two graphs. Let and be two graphs. A graph isomorphism from to is a bijective map such that for any two vertices , if and only if . We say that and are isomorphic, denoted as , if there exists an isomorphism between them.
Lemma 3. For every prime power q, .
Proof. We define the assignments
as follows:
To prove that
is a bijection, it suffices to show that
is an injection since
is finite. Let
If
and
, then
and
by a straightforward check. Therefore,
is an injection. More explicitly, the inverse maps are
on points and
on lines.
Next, we will verify that
preserves the adjacency relation between any two vertices, that is,
if
. Let
and
. The following equations show the detailed verification process:
The above computation shows that
Since
is a bijection and both graphs are
q-regular on
vertices, each graph has exactly
edges. Hence, the above inclusion is an equality. Therefore, for every point
and line
,
and
is a graph isomorphism. □
The advantage of
is visible in (
1): once the first coordinates of a point and a neighboring line are known, each of the remaining coordinates is obtained immediately. This triangular form will allow us to write every 8-cycle through a fixed edge explicitly and to isolate the only nonautomatic adjacency condition.
3. Determining the Exact Value of
It should be noted that the girth of the graph
is 8 for
(see Theorem 2 (e) in [
11]); the case
is recorded in Section 6.3 (from [
13]). Moreover, the girth of
is 12 (see Table 4 in [
13]). Therefore, for
, given that the order, degree, and girth of
have been established, it remains to determine the number of girth cycles containing a specific edge. The theorem below states the complete answer for all prime powers
q; the
cases are proved in this section, while the case
is established separately in Proposition 2 of
Section 4.
Main Theorem 1. Let denote the number of girth cycles in . Then Proof. By Lemma 3, we may work in . Fix the edge , abbreviated to .
We first explain in detail how an 8-cycle through this edge is parametrized. This is the point in the proof where the special form of (
1) is used most strongly. Start from the oriented edge
. Let
x be the first coordinate of the next point
. Because
, the three adjacency equations give its remaining coordinates as zero, so
. Next, let
y be the first coordinate of the line
following
. From
we successively obtain
,
, and
; hence,
.
Now prescribe the first coordinate
of the next point
. Since
, Equation (
1) gives
,
, and
. Thus,
. If
is the first coordinate of the next line
, the same three equations force its other coordinates to be
,
, and
, respectively.
It is useful to build the last two vertices from the opposite end of the fixed edge. A line
adjacent to
and having first coordinate
t must satisfy
, so
. If
is the preceding point and its first coordinate is
, then
forces
. After these choices, every required adjacency in the closed walk has already been imposed except
. Consequently, the entire candidate walk is determined by the six first-coordinate parameters
.
All adjacencies displayed above are automatic from the construction except
. We spell out this last condition coordinate by coordinate. The second-coordinate equation is
, which is equivalent to (
2). The third-coordinate equation is
; after moving terms and using
, this is (3). Finally, the fourth-coordinate equation is
, which is exactly (4). Thus, the following three equations are neither auxiliary assumptions nor an ad hoc system: they are precisely the three coordinates of the single missing adjacency.
Claim. A tuple satisfying (2)–(4) determines an 8-cycle through if and only ifMoreover, after the initial oriented edge is fixed, different admissible tuples determine different 8-cycles. Proof of the Claim. Each inequality rules out one possible immediate reversal. For example, would make the third vertex equal to the initial point, would make the next line equal to , would make , and would make . Continuing around the walk gives the remaining four inequalities , , , and . Hence, the displayed conditions are necessary and sufficient for the closed walk to have no immediate backtracking.
It remains to exclude a repetition at nonconsecutive positions. Suppose that such a repetition occurs and choose two equal vertices whose cyclic separation along is minimal. The vertices strictly between these two occurrences are then pairwise distinct. A separation of two would be an immediate reversal and has already been excluded, while a separation of one would be a loop, which is impossible because the graph is simple and bipartite. Therefore, the segment between the two occurrences is a cycle with a length of at least four and strictly less than eight. This contradicts . Hence, a closed walk satisfying the eight inequalities has eight distinct vertices and is an 8-cycle. Conversely, every 8-cycle clearly satisfies the inequalities. Finally, an undirected 8-cycle containing the fixed edge has exactly one traversal beginning with the oriented edge . Reading the successive first coordinates from this traversal recovers uniquely, so different admissible tuples cannot represent the same cycle. □
Moreover, after fixing the oriented initial edge , every 8-cycle containing this edge determines a unique tuple , and every admissible tuple satisfying Equations (2)–(4) determines one such cycle. Thus, counting admissible tuples counts the desired cycles without any additional factor.
Suppose that q is a power of an odd prime and . Let denote the number of 8-cycles containing an edge e. We now determine by considering the four possibilities according to whether and are zero.
Case A. Suppose that
and
. Equation (2) becomes
, while (3) becomes
. Because
are nonzero by the claim above, division of the second equality by the first gives
, and then the first equality gives
. With
, Equation (4) is
Substituting
and
yields
, or equivalently
. Since the characteristic is odd and
, this is impossible.
Case B. Suppose that
and
. Equations (2) and (3) give
Equation (4) gives
. Since
, comparison with the preceding equality yields
, and then
, contradicting
.
Case C. Suppose that
and
. Equations (2) and (3) read
and
. Since
and
, division of the second equality by the first gives
, and the first equality then gives
. With
, Equation (4) becomes
After substituting
and
, its left-hand side is
Thus,
. Here,
,
, and
by the claim, so this is impossible in odd characteristic.
Case D. Suppose that
and
. Put
By Equation (
2),
The cycle conditions give
and
, so
. Using this identity in Equation (3), we obtain
Since
, subtraction yields
Similarly, Equation (4) and
give
Substituting these two expressions back into
and clearing the nonzero denominator
A gives
Expanding the two sides and collecting factors yields the polynomial identity
Because
,
, and
, we obtain
Consequently,
Thus, once
x,
y, and
are chosen, the remaining parameters are uniquely determined. It remains only to impose the cycle conditions. They are equivalent to
Indeed,
is equivalent to
;
follows from
and
; and both
and
are equivalent to
. Since the characteristic is odd and
, the elements
are distinct.
It follows that
x,
y, and
have, respectively,
,
, and
admissible choices. For each such choice, the values of
,
, and
t are uniquely determined. Therefore,
Thus, in odd characteristic, there are exactly
8-cycles containing the edge
.
Next, suppose that and . We again distinguish four cases according to whether and are zero. The equations are the same, but the relation changes which cases are admissible.
Case i. Suppose that and . The first two equations, Equations (2) and (3), become and because minus and plus coincide in characteristic two. All four variables are nonzero in a cycle, so division gives and then . Equation (4) becomes and is automatic. The eight inequalities in the claim above now reduce simply to and , because , , and . Conversely, for every pair , the tuple satisfies (2)–(4) and all eight inequalities. Therefore, this case contributes exactly cycles.
Case ii. Suppose that and . Equations (2) and (3) become and . The first equality shows , so division gives ; hence, , and the first equality then gives . Equation (4) is automatically satisfied. The cycle conditions require , , , and ; indeed, is exactly , while follows from . Conversely, choose arbitrary with , and put and . Direct substitution gives , , and (4) = 0, and the stated restrictions give all eight inequalities. Thus, x and y have choices each and, after y is fixed, has choices. The contribution is exactly .
Case iii. Suppose that and . The first two equations become and . Because an admissible cycle has , the factor is nonzero. Division therefore gives and then . Substituting these values into (4) gives zero, so the third equation is automatic. The cycle conditions reduce to , , , and : the condition is precisely , while follows from . Conversely, every choice with , together with and , satisfies all three equations and all eight inequalities. Hence, the contribution is exactly .
Case iv. Suppose that
and
. For an admissible cycle we again have
. Every step used to derive (
5) consists only of field operations and division by the nonzero element
A; in particular, that derivation did not divide by 2. Hence, (
5) is valid in characteristic two as well. Since
, its last factor is simply
, and we obtain
Every factor is nonzero by the assumptions of Case iv and by the claim, a contradiction. Therefore, Case iv contains no admissible 8-cycle.
Combining Cases (i)–(iv), when
q is an even number, we conclude that
is equal to
Finally, we count all 8-cycles in
. The graph
is
q-regular, has
vertices, and is edge-transitive by Lemma 1; therefore it is edge-girth-regular. Applying Lemma 2 with
and with the above values of
, we obtain
The remaining case
is proven in Proposition 2 of
Section 4. This completes the proof. □
Remark 1. The case in Main Theorem 1 is exceptional because its girth is 12, not 8 (Table 4 from [13]). Hence, the factor in the odd-characteristic 8-cycle formula should not be interpreted as saying that has no girth cycles. The fixed-edge parametrization itself explains why the odd formula vanishes at : for every nonzero , the three elements 0, x, and exhaust the whole field, so there is no admissible choice of in Case D. Thus there are no 8-cycles, consistently with the known girth of 12. We count the actual 12-cycles separately in Section 4. 4. Consequences and Applications
The fixed-edge count has immediate consequences for edge- and vertex-girth-regularity. We also record the fixed-edge parametrization obtained in the proof and give computational checks for several small finite fields.
It is useful to distinguish the three counting parameters that appear below. The quantity is local to an edge, the quantity is local to a vertex, and is global. For a c-regular edge-girth-regular graph, these quantities are not independent: every girth cycle through a fixed vertex uses exactly two incident edges, so , while counting edge–cycle incidences gives . Consequently, once the fixed-edge calculation is complete, both the vertex parameter and the global number follow without a second cycle enumeration. This is why the main computational burden of the paper is concentrated on determining for a single edge. The corollaries below make these consequences explicit, and Proposition 2 shows that exactly the same strategy continues to work in the exceptional field , although the relevant girth changes from 8 to 12.
Corollary 1. For , the graph is edge-girth-regular with parameters Proof. This is exactly the fixed-edge count in the proof of Main Theorem 1, together with the edge-transitivity of . □
The next consequence places
in the vertex-girth-regular framework of Jajcay, Jooken and Porupsánszki [
20].
Corollary 2. For every prime power , the graph is vertex-girth-regular. More precisely, Proof. Observation 6 of [
20] states that every
-graph is a
-graph. Applying it to Corollary 1 with
gives the stated value of
. This relation can also be seen directly: the
q edges incident with a fixed vertex contribute
edge–cycle incidences, while every girth cycle through that vertex uses exactly two of its incident edges. □
The earlier description in [
11] and the present fixed-edge parametrization address the same shortest-cycle structure from different viewpoints. Here, we only need the latter in the form produced by the proof above: after fixing
, the admissible tuples can be listed explicitly, and their cardinalities are exactly the edge-girth-regular parameters. Recording these tuples is also useful for checking that the case analysis has neither omitted nor duplicated an admissible 8-cycle. No additional structural assertion about
is needed for the applications below. The following proposition records the fixed-edge parametrization that arises from the proof of Main Theorem 1 and is used here to calculate
.
Proposition 1. The proof of Main Theorem 1 yields the following complete fixed-edge parametrization. If is odd, every 8-cycle through in corresponds uniquely towhere and . If q is even, every such cycle belongs to exactly one of the three familiesThere are no additional admissible tuples. Proof. In odd characteristic, Cases A–C in the proof of Main Theorem 1 have no solutions, while Case D gives , , and , with and . Renaming as u gives the first family. In characteristic two, Cases i, ii, and iii give Families I, II, and III, respectively, while Case iv has no solutions. The restrictions displayed above are precisely the non-backtracking conditions established in the claim inside the proof of Main Theorem 1. □
For odd , the family in Proposition 1 has members. In even characteristic, Families I–III have , , and members, respectively, and hence, their total number is . The even-characteristic statement also includes .
We now treat the exceptional field
directly. The case
requires a separate count only because the girth changes from 8 to 12; the underlying method is the same as in the proof of Main Theorem 1. We again pass to the isomorphic graph
, fix the edge
, and recover all remaining coordinates recursively from successive first coordinates. For an 8-cycle, this led to six first-coordinate parameters. For a 12-cycle, it is more convenient to record the successive differences of the first coordinates on the two partite sets. Since every nonzero element of
is 1 or
, the non-backtracking condition forces each of these differences to be a sign. The three remaining closing conditions are then obtained by telescoping exactly the same triangular adjacency relations used in
Section 3.
Thus, the argument below is not a separate computational device: it is the fixed-edge parametrization of the main proof adapted to a longer girth. The small field has an additional advantage, namely that the possible point-increment sequences fall into only four symmetry classes. Counting the compatible line-increment sequences in these four classes gives the number of 12-cycles through the fixed edge; edge-transitivity and the same double-counting lemma then give the global number of girth cycles. For context, the 12-cycle types of
were also considered by Xu, Cheng and Tang [
11]; the proof below is self-contained and is formulated directly for the edge-girth-regular parameter needed here.
The increment notation also separates the two requirements that were intertwined in the six-parameter calculation for 8-cycles. Non-backtracking is expressed simply by , while closure of the first coordinates is given by . The other three coordinates are handled by telescoping the adjacency equations. This makes the calculation short enough to be carried out by hand and shows explicitly why the same local-to-global strategy continues to work when the girth increases from 8 to 12.
Proposition 2. The graph is an -graph and a -graph. Moreover, .
Proof. Following the same fixed-edge method used in the proof of Main Theorem 1, by Lemma 3 it is enough to work in
. Fix the oriented edge
and consider a backtrackless closed walk of length 12 through this edge,
Let
and
denote the first coordinates of
and
, respectively, and put
. Define
Since the walk has no immediate backtracking,
for every
i. Conversely, these nonzero differences are exactly the first-coordinate non-backtracking conditions. The closing conditions on the first coordinates are
and
.
We next record the remaining three closing conditions. The points
and
have the common neighbor
. Subtracting the three adjacency equations in (
1) for these two points gives
Summing from
to 6, the condition
is therefore equivalent to
Conversely, the triangular adjacency relations of
uniquely recover the successive vertices from the successive first coordinates. Hence, any pair of sign sequences satisfying the two first-coordinate closing conditions and Equations (6)–(8) reconstructs a unique backtrackless closed walk of length 12 through the fixed oriented edge. Thus, the problem is reduced to counting such pairs of sign sequences.
Because each
is 1 or
and
in
, the number of entries equal to 1 is 0, 3, or 6. Hence, there are
possible
u-sequences. Cyclic reindexing preserves the system (6)–(8). Indeed, denote the three left-hand sides by
Fix
and cyclically shift the increments by
r, so that
where the indices are taken modulo 6. Since
, we may extend the partial sums periodically, so that
and
. By definition of the new partial sums,
and similarly,
Thus, the cyclic shift amounts to taking the old
rth position as the new origin. Hence,
because
. Similarly,
For the third expression, since
, we obtain
where we have used
Therefore, a cyclic shift sends
, and hence preserves the condition
. Moreover, replacing every
with
replaces
with
and sends
. Hence, it also preserves the number of admissible
v-sequences. Consequently, the 22 possible
u-sequences fall into the following four classes under cyclic shifts and global sign reversal, with representatives as follows:
Here, + and − denote 1 and
, respectively. We count the admissible
v-sequences for one representative of each class. Write
; then,
,
, and consecutive
are distinct.
For Class I, Equations (6)–(8) become
In
, a nonzero square equals 1. Since
and
are nonzero, the middle equation implies that exactly three of
are nonzero. The two zero entries therefore have to be
. The other two equations then give
with
. Hence,
so Class I has exactly two admissible
v-sequences.
For Class II, the three equations are
Because
and
, either
or
. If
, the last equation gives
, and the first gives
. Substitution into the square equation would give
, impossible in
. Thus,
. Put
and
, where
. The first and third equations then give
The square equation is automatic, since
in
. All four choices of
satisfy the non-backtracking conditions. Hence, Class II has exactly 4 admissible
v-sequences.
For Class III, Equation (
6) is
In terms of the increments this is
. Three elements of
sum to zero in
if and only if they are equal, so
. Since
, the same argument gives
, where
. Thus
Equation (8) coincides with (6) for this
u-sequence. Moreover,
,
,
,
, and
, so direct substitution into (7) gives zero. Therefore, all four choices of
are admissible, and Class III contributes four
v-sequences.
For Class IV, the partial sums of the representative
are
Hence, Equation (8) reduces to
. This is impossible because
must be nonzero. Thus, Class IV contributes no solutions.
It follows that the number of backtrackless closed walks of length 12 through the fixed oriented edge is
Since
, such a backtrackless closed walk cannot contain a repeated nonconsecutive vertex; otherwise, it would contain a cycle of length smaller than 12. Hence, these 36 walks are precisely the 36 girth cycles containing the fixed edge. Fixing the orientation
introduces no extra factor, because each undirected cycle through this edge has a unique traversal beginning with that oriented edge.
Therefore, every edge of
lies in 36 girth cycles, so
is
. The corresponding vertex parameter is
, and Lemma 2 gives
This completes the proof. □
For computational verification, we note that the algorithmic framework of Goedgebeur and Jooken (Section 2 from [
19]) computes the number of girth cycles through a prescribed edge. Since
is edge-transitive, a computation for one edge is sufficient.
Table 1 lists small-parameter computations and compares them with the values proven above. The cases
, 8, and 9 also provide checks over non-prime finite fields.
These computations are included only as an independent verification of the closed formulas; none of the proofs depends on the numerical output. In particular, the entry checks the separate 12-cycle calculation in Proposition 2, while the entries for test the formulas in genuine extension fields rather than only over prime fields. This provides a useful consistency check on both the characteristic-two and odd-characteristic case distinctions.