In
graph theory
In mathematics, graph theory is the study of ''graphs'', which are mathematical structures used to model pairwise relations between objects. A graph in this context is made up of '' vertices'' (also called ''nodes'' or ''points'') which are conne ...
, the shortness exponent is a numerical parameter of a family of graphs that measures how far from
Hamiltonian
Hamiltonian may refer to:
* Hamiltonian mechanics, a function that represents the total energy of a system
* Hamiltonian (quantum mechanics), an operator corresponding to the total energy of that system
** Dyall Hamiltonian, a modified Hamiltonian ...
the graphs in the family can be. Intuitively, if
is the shortness exponent of a graph family
, then every
-vertex graph in the family has a cycle of length near
but some graphs do not have longer cycles. More precisely, for any ordering of the graphs in
into a sequence
, with
defined to be the length of the longest cycle in graph
, the shortness exponent is defined as
[.]
:
This number is always in the interval from 0 to 1; it is 1 for families of graphs that always contain a Hamiltonian or near-Hamiltonian cycle, and 0 for families of graphs in which the longest cycle length can be smaller than any constant power of the number of vertices.
The shortness exponent of the
polyhedral graphs is
. A construction based on
kleetopes shows that some polyhedral graphs have longest cycle length
,
[.] while it has also been proven that every polyhedral graph contains a cycle of length
. The polyhedral graphs are the graphs that are simultaneously
planar and
3-vertex-connected; the assumption of 3-vertex-connectivity is necessary for these results, as there exist sets of 2-vertex-connected planar graphs (such as the
complete bipartite graphs
) with shortness exponent 0. There are many additional known results on shortness exponents of restricted subclasses of
planar and polyhedral graphs.
The 3-vertex-connected
cubic graphs (without the restriction that they be planar) also have a shortness exponent that has been proven to lie strictly between 0 and 1.
[.]
References
{{reflist
Hamiltonian paths and cycles