Abstract

We study the winding angles of random and self-avoiding walks on square and cubic lattices with number of steps NN ranging up to 10710^7. We show that the mean square winding angle ⟨θ2⟩\langleθ^2\rangle of random walks converges to the theoretical form when N→∞N\rightarrow\infty. For self-avoiding walks on the square lattice, we show that the ratio ⟨θ4⟩/⟨θ2⟩2\langleθ^4\rangle/\langleθ^2\rangle^2 converges slowly to the Gaussian value 3. For self avoiding walks on the cubic lattice we find that the ratio ⟨θ4⟩/⟨θ2⟩2\langleθ^4\rangle/\langleθ^2\rangle^2 exhibits non-monotonic dependence on NN and reaches a maximum of 3.73(1) for N≈104N\approx10^4. We show that to a good approximation, the square winding angle of a self-avoiding walk on the cubic lattice can be obtained from the summation of the square change in the winding angles of ln⁡N\ln N independent segments of the walk, where the ii-th segment contains 2i2^i steps. We find that the square winding angle of the ii-th segment increases approximately as i0.5i^{0.5}, which leads to an increase of the total square winding angle proportional to (ln⁡N)1.5(\ln N)^{1.5}.

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