An -step self-avoiding walk on a graph is a sequence of distinct graph vertices with an edge between successive graph vertices. It is a graph path with edges and graph vertices. On a transitive graph, the exponential growth rate of rooted self-avoiding walk counts is the connective constant.
On the square lattice, a self-avoiding walk using north, east and west steps but no south steps. At each horizontal height, self-avoidance forces one monotone horizontal run. Conversely, such runs separated by north steps always give self-avoiding walks, because every new run is at a previously unvisited height.
A horizontal run has generating function . Decomposing each walk into gives . Thus and . The exponential growth rate is , furnishing a strict lower bound greater than two for the connective constant of all square-lattice self-avoiding walks.
The generating function weights each self-avoiding walk by to the power of its length, including the zero-length walk. Its radius of convergence is the reciprocal of the upper exponential growth rate of the rooted counts, by the Cauchy-Hadamard theorem.
In a bipartite graph, a self-avoiding walk ends in its starting class exactly when it has even length. If degrees are bounded by , deleting the last edge gives and hence for . Thus these generating functions have the same radius of convergence.
Replace every degree-three vertex of a graph in one class of a bipartite graph by a triangle with one port for each incident edge. A self-avoiding walk whose endpoints remain in the other class cannot make two completed passages through the same triangle: each passage needs two unused ports and only three exist. Each old two-edge passage has exactly two replacements, of lengths three and four. Therefore the restricted generating functions satisfy . If the old radius is , the new radius obeys .
In independent bond percolation on a graph, let be the number of -step self-avoiding walks from a fixed graph vertex and the number that are open. Then . The Jensen inequality for the concave function gives . No independence between different self-avoiding walk indicators is needed. When , the limit superior is at most .
On the doubly infinite ladder graph, self-avoiding walks from a fixed graph vertex using only rightward or vertical steps are in bijection with words in containing no consecutive symbols. Their count is , since , , and . Its exponential growth rate is the golden ratio.
If counts the -step self-avoiding walks from a fixed vertex of a transitive lattice, the connective constant is the exponential growth rate
Submultiplicativity of and the Fekete lemma applied to prove existence of this limit.
For an infinite connected locally finite graph with a uniform degree bound, let count its length- self-avoiding walks from . The suprema satisfy , so the Fekete lemma applied to their logarithms gives a finite connective constant. Unlike the usual rooted definition on a vertex-transitive graph, this definition explicitly takes the supremum over roots.

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A self-avoiding walk (SAW) is a mathematical and combinatorial object used primarily in statistical mechanics and theoretical physics, as well as in computer science and graph theory. It is defined as a path that does not visit the same point more than once.