A renewal theory approach to periodic copolymers with adsorption

被引:10
作者
Caravenna, Francesco
Giacomin, Giambattista
Zambotti, Lorenzo
机构
[1] Univ Padua, Dipartimento Matemat Pura & Applicata, I-35121 Padua, Italy
[2] Univ Paris 07, UFR Math, F-75251 Paris 05, France
[3] CNRS, UMR 7599, Lab Probabil & Modeles Aleatoires, F-75251 Paris 05, France
[4] CNRS, UMR 7599, Lab Probabil & Modeles Aleatoires, F-75252 Paris, France
[5] Univ Paris 06, UFR Math, F-75252 Paris, France
关键词
random walks; renewal theory; Markov renewal theory; scaling limits; polymer models; wetting models;
D O I
10.1214/105051607000000159
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We consider a general model of a heterogeneous polymer chain fluctuating in the proximity of an interface between two selective solvents. The heterogeneous character of the model comes from the fact that the monomer units interact with the solvents and with the interface according to some charges that they carry. The charges repeat themselves along the chain in a periodic fashion. The main question concerning this model is whether the polymer remains tightly close to the interface, a phenomenon called localization, or whether there is a marked preference for one of the two solvents, thus yielding a delocalization phenomenon. In this paper, we present an approach that yields sharp estimates for the partition function of the model in all regimes (localized, delocalized and critical). This, in turn, makes possible a precise pathwise description of the polymer measure, obtaining the full scaling limits of the model. A key point is the closeness of the polymer measure to suitable Markov renewal processes, Markov renewal theory being one of the central mathematical tools of our analysis.
引用
收藏
页码:1362 / 1398
页数:37
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