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 rateSubmultiplicativity 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.