A cycle power graph
is the
th
graph power of the cycle
graph
(Louis 2017). Thus, two vertices are adjacent in
exactly when their graph
distance in
is at most
.
Equivalently,
is the circulant graph
.
For ,
the cycle power graph
is a regular graph of degree
and has
edges. For
, it is the complete
graph
.
Some standard graph families occur as cycle power graphs as follows.
| graph | cycle power | range |
| cycle graph | ||
| cocktail party graph | ||
| complete graph |
Vasilev (2026, Theorem 1) proved that for integers ,
, and
, the maximum number of edges in a
-vertex vertex-induced
subgraph of
is attained by any set of
consecutive vertices of the underlying cycle. For fixed
and sufficiently large
, Makai et al. (2025, Lemmas 10 and 11) independently
obtained the same consecutive-vertex extremal conclusion under more restrictive hypotheses.
Writing
for the number of edges in a graph
, Vasilev's theorem gives
|
(1)
|
where
is the
th
power of the path graph
and
|
(2)
|
Vasilev's extremal result also gives the Cheeger constant
for
.
The
-antiprism graph is the special case
, so its Cheeger constant is
for
. For
,
is a complete graph,
whose Cheeger constant is
.
The consecutive vertex sets need not be the only maximizers. For example, label the vertices of the underlying cycle graph as 1, 2, ..., 6 in cyclic order. The vertices numbered 1,
3, and 5 then form a triangle in
, so this nonconsecutive vertex set also induces the maximum
of three edges. A classification of all maximizing vertex sets remains open (Vasilev
2026).