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arxiv: cond-mat/0512051 · v1 · submitted 2005-12-02 · ❄️ cond-mat.stat-mech

Quenched Averages for self-avoiding walks and polygons on deterministic fractals

classification ❄️ cond-mat.stat-mech
keywords alphagammaannealedaveragesdifferentpolygonsrootedwalks
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We study rooted self avoiding polygons and self avoiding walks on deterministic fractal lattices of finite ramification index. Different sites on such lattices are not equivalent, and the number of rooted open walks W_n(S), and rooted self-avoiding polygons P_n(S) of n steps depend on the root S. We use exact recursion equations on the fractal to determine the generating functions for P_n(S), and W_n(S) for an arbitrary point S on the lattice. These are used to compute the averages $< P_n(S)>, <W_n(S)>, <log P_n(S)>$ and $<log W_n(S)>$ over different positions of S. We find that the connectivity constant $\mu$, and the radius of gyration exponent $\nu$ are the same for the annealed and quenched averages. However, $<log P_n(S)> ~ n log \mu + (\alpha_q -2) log n$, and $<log W_n(S)> ~ n log \mu + (\gamma_q -1)log n$, where the exponents $\alpha_q$ and $\gamma_q$ take values different from the annealed case. These are expressed as the Lyapunov exponents of random product of finite-dimensional matrices. For the 3-simplex lattice, our numerical estimation gives $ \alpha_q \simeq 0.72837 \pm 0.00001$; and $\gamma_q \simeq 1.37501 \pm 0.00003$, to be compared with the annealed values $\alpha_a = 0.73421$ and $\gamma_a = 1.37522$.

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