Math 2.0

Statistical mechanics, structure of matter Definition

Self-avoiding walk

Builds on Random walk

Definition

Let d≥1d \ge 1 and n≥0n \ge 0 be integers, and let ∣⋅∣\abs{\cdot} be the Euclidean norm on ℝd\R^d. An nn-step self-avoiding walk on ℤd\Z^d starting at 00 is a sequence ω=(ω0,ω1,…,ωn)\omega = (\omega_0, \omega_1, \ldots, \omega_n) of points of ℤd\Z^d such that:

  1. ω0=0\omega_0 = 0;
  2. ∣ωi−ωi−1∣=1\abs{\omega_i - \omega_{i-1}} = 1 for 1≤i≤n1 \le i \le n;
  3. ωi≠ωj\omega_i \ne \omega_j for 0≤i<j≤n0 \le i < j \le n.

Let cnc_n be the number of nn-step self-avoiding walks. The uniform probability measure on these cnc_n walks is also called the self-avoiding walk with nn steps.

Remarks

Example: in ℤ2\Z^2, the walk (0,0),(1,0),(1,1),(0,1)(0,0), (1,0), (1,1), (0,1) satisfies all three clauses, and it is one of the c3=36c_3 = 36 walks with three steps. Non-example: (0,0),(1,0),(0,0)(0,0), (1,0), (0,0) satisfies clauses 1 and 2 but not clause 3, since it returns to 00. Cutting an (n+m)(n + m)-step walk after nn steps gives cn+m≤cncmc_{n+m} \le c_n c_m, so by Fekete's lemma the connective constant μd=lim⁡n→∞cn1/n\mu_d = \lim_{n \to \infty} c_n^{1/n} exists. Walks that only move in positive coordinate directions are self-avoiding, and walks that never reverse their last step include all self-avoiding walks, so d≤μd≤2d−1d \le \mu_d \le 2d - 1.

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Further reading

  1. Web https://en.wikipedia.org/wiki/Self-avoiding_walk
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MSC82B41, 60K35, 05A16
DefinesSelf-avoiding walk
UsesRandom walk
Changed2 November 2026

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