An -step self-avoiding walk on a graph is a sequence of distinct graph vertices such that for . It has edges and no repeated vertex, including its starting graph vertex. The -step self-avoiding walk consists of its starting graph vertex alone.
Represent the doubly infinite ladder graph by , with horizontal edges between successive columns and a vertical rung at each column. An allowed self-avoiding walk is coded by a word in . Two successive steps revisit the preceding graph vertex and are forbidden. Conversely, every word without consecutive steps is a self-avoiding walk: horizontal steps strictly increase the column, and a column is visited vertically at most once. This establishes a bijection, not merely an upper bound.
For the directed ladder self-avoiding walk count, , , and for a word either ends in , or ends in . Removing that final block givesLet be the golden ratio, and . The Binet formula for the Fibonacci number yieldsSince , taking th roots gives . This use of the golden-ratio symbol is independent of the connection rate in Question 1.
Let count -step self-avoiding walks on the square lattice from one fixed graph vertex. Splitting a self-avoiding walk after steps and dropping the avoidance constraint on its suffix gives . The Fekete lemma therefore gives the connective constant . The planar dual graph of the square lattice is a translated copy of it, so its connective constant is also .
Put and assume . Choose with . The definition of the connective constant provides a finite such that for every . A simple dual graph cycle of length surrounding has a graph vertex in a box of radius : its diameter is at most , and its coordinate ranges straddle the origin. Choose such a graph vertex as the starting point, orient the graph cycle, and omit its closing edge. The remaining self-avoiding walk has length . Consequently the number of these graph cycles obeysfor fixed finite constants. A specified graph cycle is open in dual bond percolation, equivalently all its crossed primal edges are closed, with probability . HenceTo make this tail argument valid for every , rather than only extremely small , use a finite modification of Bernoulli percolation. Condition all primal edges within to be open. This event has positive probability for . If the resulting percolation cluster of is finite, its outer boundary contains a simple closed dual graph cycle surrounding the whole box. Such a graph cycle has length tending to infinity with and crosses no forced-open edge. Under the conditioning its remaining edge states retain the original independent law, so its probability is still . Choose so that the above tail is less than . The conditional probability that belongs to an infinite percolation cluster is then at least , and thus .
This connective-constant Peierls bound proves that every is above or at the onset of positive percolation probability. Taking the infimum givesThe case is immediate. This proof uses the Peierls argument, without assuming the exact Harris-Kesten theorem.
Write for the deterministic set of -step self-avoiding walks from . Each uses distinct edges, so independence givesFor , the function on is a concave function. The Jensen inequality gives the root-moment bound for open self-avoiding walksEquivalently, the Lyapunov moment inequality compares exponents and , both strictly positive. Taking the limit superior and the connective constant limit provesThis includes and . No independence between the different self-avoiding walk indicators is asserted or needed.
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