We study the 4-dimensional n-component |ϕ| 4 spin model for all integers n ≥ 1, and the 4-dimensional continuous-time weakly self-avoiding walk which corresponds exactly to the case n = 0 interpreted as a supersymmetric spin model. For these models, we analyse the correlation length of order p, and prove the existence of a logarithmic correction to mean-field scaling, with power 1 2 n+2 n+8 , for all n ≥ 0 and p > 0. The proof is based on an improvement of a rigorous renormalisation group method developed previously.1 2 n+2 n+8 . The independence of p in the exponents exemplifies the conventional wisdom that in critical phenomena all naturally defined length scales should exhibit the same asymptotic behaviour. The correlation length ξ is predicted to diverge in the same manner, but our method would require further development to prove this. Definitions of the modelsBefore defining the models, we establish some notation. Let L > 1 be an integer (which we will need to fix large). Consider the sequence Λ = Λ N = Z d /(L N Z d ) of discrete d-dimensional tori of side lengths L N , with N → ∞ corresponding to the infinite volume limit Λ N ↑ Z d . Throughout the paper, we only consider d = 4, but we sometimes write d instead of 4 to emphasise the role of dimension. For any of the 2d unit vectors e ∈ Z d , we define the discrete gradient of a function f : Λ N → R by ∇ e f x = f x+e − f x , and the discrete Laplacian by ∆ = − 1 2 e∈Z d :|e|=1 ∇ −e ∇ e . The gradient and Laplacian operators act component-wise on vector-valued functions. We also use the discrete Laplacian ∆ Z d on Z d , and the continuous Laplacian ∆ R d on R d .
We consider the n-component |ϕ| 4 lattice spin model (n ≥ 1) and the weakly self-avoiding walk (n = 0) on Z d , in dimensions 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+α) with α ∈ (0, 2). The upper critical dimension is d c = 2α. For ǫ > 0, and α = 1 2 (d+ǫ), the dimension d = d c −ǫ is below the upper critical dimension. For small ǫ, weak coupling, and all integers n ≥ 0, we prove that the two-point function at the critical point decays with distance as 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. Introduction and main resultBroadly speaking, the mathematical understanding of critical phenomena for spin systems has progressed in dimension d = 2, where exact solutions and SLE are important tools; in dimensions d > 4, where infrared bounds and the lace expansion are useful; and in dimension d = 4, where renormalisation group (RG) methods have been applied. The physically most important case of d = 3 is more difficult, and mathematical methods are scarce.In the physics literature, the ǫ-expansion was introduced to study non-integer dimensions slightly below d = 4. An alternate approach is to consider long-range models, which change the upper critical dimension from d c = 4 to a lower value d c = 2α with α ∈ (0, 2). By choosing d = 1, 2, 3 and α = 1 2 (d + ǫ) with small ǫ, it is possible to study integer dimension d which is slightly below the upper critical dimension 2α = d + ǫ. In this paper, we consider n-component spins and the weakly self-avoiding walk in this long-range context, and prove that the critical twopoint function has mean-field decay r −(d−α) also below the upper critical dimension. Our method involves a RG analysis in the vicinity of a non-Gaussian fixed point.
We consider the critical behaviour of the continuous-time weakly self-avoiding walk with contact self-attraction on Z 4 , for sufficiently small attraction. We prove that the susceptibility and correlation length of order p (for any p > 0) have logarithmic corrections to mean field scaling, and that the critical two-point function is asymptotic to a multiple of |x| −2 . This shows that small contact self-attraction results in the same critical behaviour as no contact self-attraction; a collapse transition is predicted for larger self-attraction. The proof uses a supersymmetric representation of the two-point function, and is based on a rigorous renormalisation group method that has been used to prove the same results for the weakly self-avoiding walk, without self-attraction. The model and main resultThe self-avoiding walk is a basic model for a linear polymer chain in a good solution. The repulsive self-avoidance constraint models the excluded volume effect of the polymer. In a poor solution, the polymer tends to avoid contact with the solution by instead making contact with itself. This is modelled by a self-attraction favouring nearest-neighbour contacts. The self-avoiding walk is already a notoriously difficult problem, and the combination of these two competing tendencies creates additional difficulties and an interesting phase diagram.In this paper, we consider a continuous-time version of the weakly self-avoiding walk with nearest-neighbour contact self-attraction on Z 4 . When both the self-avoidance and self-attraction are sufficiently weak, we prove that the susceptibility and finite-order correlation length have logarithmic corrections to mean field scaling with exponents 1 4 and 1 8 for the logarithm, respectively, and that the critical two-point function is asymptotic to a multiple of |x| −2 as |x| → ∞.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.