Critical Two-Point Function for Long-Range O(n) Models Below the Upper Critical Dimension
Critical Two-Point Function for Long-Range O(n) Models Below the Upper Critical Dimension
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高于临界维数的长程 O(n) 模型的临界两点函数
DOI:
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发表时间:
2017
期刊:
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通讯作者:
Benjamin C. Wallace
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作者:
Martin Lohmann;G. Slade;Benjamin C. Wallace
We consider the n-component $$|varphi |^4$$|φ|4 lattice spin model ($$n ge 1$$n≥1) and the weakly self-avoiding walk ($$n=0$$n=0) on $$mathbb Z^d$$Zd, in dimensions $$d=1,2,3$$d=1,2,3. We study long-range models based on the fractional Laplacian, with spin-spin interactions or walk step probabilities decaying with distance r as $$r^{-(d+alpha )}$$r-(d+α) with $$alpha in (0,2)$$α∈(0,2). The upper critical dimension is $$d_c=2alpha $$dc=2α. For $$varepsilon >0$$ε>0, and $$alpha = frac{1}{2} (d+varepsilon )$$α=12(d+ε), the dimension $$d=d_c-varepsilon $$d=dc-ε is below the upper critical dimension. For small $$varepsilon $$ε, weak coupling, and all integers $$n ge 0$$n≥0, we prove that the two-point function at the critical point decays with distance as $$r^{-(d-alpha )}$$r-(d-α). This “sticking” of the critical exponent at its mean-field value was first predicted in the physics literature in 1972. Our proof is based on a rigorous renormalisation group method. The treatment of observables differs from that used in recent work on the nearest-neighbour 4-dimensional case, via our use of a cluster expansion.