We consider a random field φ: {1, . . . , N}→ℝ with Laplacian interaction of the form Σi V (Δφi ), where Δ is the discrete Laplacian and the potential V (·) is symmetric and uniformly strictly convex. The pinning model is defined by giving the field a reward ε ≥ 0 each time it touches the x-axis, that plays the role of a defect line. It is known that this model exhibits a phase transition between a delocalized regime (ε < εc) and a localized one (ε > εc), where 0 < εc <∞. In this paper we give a precise pathwise description of the transition, extracting the full scaling limits of the model.We show, in particular, that in the delocalized regime the field wanders away from the defect line at a typical distance N3/2, while in the localized regime the distance is just O((logN)2). A subtle scenario shows up in the critical regime (ε = εc), where the field, suitably rescaled, converges in distribution toward the derivative of a symmetric stable Lévy process of index 2/5. Our approach is based on Markov renewal theory. © Institute of Mathematical Statistics, 2009.
Caravenna, F., Deuschel, J. (2009). Scaling limits of (1+1)-dimensional pinning models with Laplacian interaction. ANNALS OF PROBABILITY, 37(3), 903-945 [10.1214/08-AOP424].
Scaling limits of (1+1)-dimensional pinning models with Laplacian interaction
CARAVENNA, FRANCESCO;
2009
Abstract
We consider a random field φ: {1, . . . , N}→ℝ with Laplacian interaction of the form Σi V (Δφi ), where Δ is the discrete Laplacian and the potential V (·) is symmetric and uniformly strictly convex. The pinning model is defined by giving the field a reward ε ≥ 0 each time it touches the x-axis, that plays the role of a defect line. It is known that this model exhibits a phase transition between a delocalized regime (ε < εc) and a localized one (ε > εc), where 0 < εc <∞. In this paper we give a precise pathwise description of the transition, extracting the full scaling limits of the model.We show, in particular, that in the delocalized regime the field wanders away from the defect line at a typical distance N3/2, while in the localized regime the distance is just O((logN)2). A subtle scenario shows up in the critical regime (ε = εc), where the field, suitably rescaled, converges in distribution toward the derivative of a symmetric stable Lévy process of index 2/5. Our approach is based on Markov renewal theory. © Institute of Mathematical Statistics, 2009.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.