33 research outputs found

    Phase diagram for a copolymer in a micro-emulsion

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    In this paper we study a model describing a copolymer in a micro-emulsion. The copolymer consists of a random concatenation of hydrophobic and hydrophilic monomers, the micro-emulsion consists of large blocks of oil and water arranged in a percolation-type fashion. The interaction Hamiltonian assigns energy −α-\alpha to hydrophobic monomers in oil and energy −ÎČ-\beta to hydrophilic monomers in water, where α,ÎČ\alpha,\beta are parameters that without loss of generality are taken to lie in the cone {(α,ÎČ)∈R2 ⁣:â€‰Î±â‰„âˆŁÎČ∣}\{(\alpha,\beta) \in\mathbb{R}^2\colon\,\alpha \geq |\beta|\}. Depending on the values of these parameters, the copolymer either stays close to the oil-water interface (localization) or wanders off into the oil and/or the water (delocalization). Based on an assumption about the strict concavity of the free energy of a copolymer near a linear interface, we derive a variational formula for the quenched free energy per monomer that is column-based, i.e., captures what the copolymer does in columns of different type. We subsequently transform this into a variational formula that is slope-based, i.e., captures what the polymer does as it travels at different slopes, and we use the latter to identify the phase diagram in the (α,ÎČ)(\alpha,\beta)-cone. There are two regimes: supercritical (the oil blocks percolate) and subcritical (the oil blocks do not percolate). The supercritical and the subcritical phase diagram each have two localized phases and two delocalized phases, separated by four critical curves meeting at a quadruple critical point. The different phases correspond to the different ways in which the copolymer can move through the micro-emulsion. The analysis of the phase diagram is based on three hypotheses of percolation-type on the blocks. We show that these three hypotheses are plausible, but do not provide a proof.Comment: 100 pages, 16 figures. arXiv admin note: substantial text overlap with arXiv:1204.123

    Interacting partially directed self avoiding walk : scaling limits

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    This paper is dedicated to the investigation of a 1+11+1 dimensional self-interacting and partially directed self-avoiding walk, usually referred to by the acronym IPDSAW and introduced in \cite{ZL68} by Zwanzig and Lauritzen to study the collapse transition of an homopolymer dipped in a poor solvant. In \cite{POBG93}, physicists displayed numerical results concerning the typical growth rate of some geometric features of the path as its length LL diverges. From this perspective the quantities of interest are the projections of the path onto the horizontal axis (also called horizontal extension) and onto the vertical axis for which it is useful to define the lower and the upper envelopes of the path. With the help of a new random walk representation, we proved in \cite{CNGP13} that the path grows horizontally like L\sqrt{L} in its collapsed regime and that, once rescaled by L\sqrt{L} vertically and horizontally, its upper and lower envelopes converge to some deterministic Wulff shapes. In the present paper, we bring the geometric investigation of the path several steps further. In the extended regime, we prove a law of large number for the horizontal extension of the polymer rescaled by its total length LL, we provide a precise asymptotics of the partition function and we show that its lower and upper envelopes, once rescaled in time by LL and in space by L\sqrt{L}, converge to the same Brownian motion. At criticality, we identify the limiting distribution of the horizontal extension rescaled by L2/3L^{2/3} and we show that the excess partition function decays as L2/3L^{2/3} with an explicit prefactor. In the collapsed regime, we identify the joint limiting distribution of the fluctuations of the upper and lower envelopes around their associated limiting Wulff shapes, rescaled in time by L\sqrt{L} and in space by L1/4L^{1/4}.Comment: 52 pages, 4 figure

    The discrete-time parabolic Anderson model with heavy-tailed potential

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    We consider a discrete-time version of the parabolic Anderson model. This may be described as a model for a directed (1+d)-dimensional polymer interacting with a random potential, which is constant in the deterministic direction and i.i.d. in the d orthogonal directions. The potential at each site is a positive random variable with a polynomial tail at infinity. We show that, as the size of the system diverges, the polymer extremity is localized almost surely at one single point which grows ballistically. We give an explicit characterization of the localization point and of the typical paths of the model.Comment: 32 page

    Scaling limit of the uniform prudent walk

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    We study the 2-dimensional uniform prudent self-avoiding walk, which assigns equal probability to all nearest-neighbor self-avoiding paths of a fixed length that respect the prudent condition, namely, the path cannot take any step in the direction of a previously visited site. The uniform prudent walk has been investigated with combinatorial techniques in [Bousquet-M\'elou, 2010], while another variant, the kinetic prudent walk has been analyzed in detail in [Beffara, Friedli and Velenik, 2010]. In this paper, we prove that the 22-dimensional uniform prudent walk is ballistic and follows one of the 44 diagonals with equal probability. We also establish a functional central limit theorem for the fluctuations of the path around the diagonal.Comment: 16 pages, 5 figure

    Collapse transition of the interacting prudent walk

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    33 pages, 13 figuresInternational audienceThis article is dedicated to the study of the 2-dimensional interacting prudent self-avoiding walk (referred to by the acronym IPSAW) and in particular to its collapse transition. The interaction intensity is denoted by ÎČ > 0 and the set of trajectories consists of those self-avoiding paths respecting the prudent condition, which means that they do not take a step towards a previously visited lattice site. The IPSAW interpolates between the interacting partially directed self-avoiding walk (IPDSAW) that was analyzed in details in, e.g., Zwanzig and Lauritzen (1968), Brak et al. (1992), Carmona et al. (2016) and Nguyen and PĂ©trĂ©lis (2013), and the interacting self-avoiding walk (ISAW) for which the collapse transition was conjectured in Saleur (1986). Three main theorems are proven. We show first that IPSAW undergoes a collapse transition at finite temperature and, up to our knowledge, there was so far no proof in the literature of the existence of a collapse transition for a non-directed model built with self-avoiding path. We also prove that the free energy of IPSAW is equal to that of a restricted version of IPSAW, i.e., the interacting two-sided prudent walk. Such free energy is computed by considering only those prudent path with a general northeast orientation. As a by-product of this result we obtain that the exponential growth rate of generic prudent paths equals that of two-sided prudent paths and this answers an open problem raised in e.g., Bousquet-MĂ©lou (2010) or Dethridge and Guttmann (2008). Finally we show that, for every ÎČ > 0, the free energy of ISAW itself is always larger than ÎČ and this rules out a possible self-touching saturation of ISAW in its conjectured collapsed phase

    A polymer in a multi-interface medium

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    We consider a model for a polymer chain interacting with a sequence of equispaced flat interfaces through a pinning potential. The intensity Ύ∈R\delta \in \mathbb {R} of the pinning interaction is constant, while the interface spacing T=TNT=T_N is allowed to vary with the size NN of the polymer. Our main result is the explicit determination of the scaling behavior of the model in the large NN limit, as a function of (TN)N(T_N)_N and for fixed Ύ>0\delta >0. In particular, we show that a transition occurs at TN=O(log⁥N)T_N=O(\log N). Our approach is based on renewal theory.Comment: Published in at http://dx.doi.org/10.1214/08-AAP594 the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org
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