A solvable model for homopolymers and self-similarity near the critical point

被引:0
|
作者
Cranston, M. [1 ]
Koralov, L. [2 ]
Molchanov, S. [3 ]
Vainberg, B. [3 ]
机构
[1] Univ Calif Irvine, Dept Math, Irvine, CA 92697 USA
[2] Univ Maryland, Dept Math, College Pk, MD 20742 USA
[3] Univ N Carolina, Dept Math, Charlotte, NC 28223 USA
关键词
Gibbs measure; homopolymer; zero-range potential; phase transition; globular phase; diffusive phase;
D O I
10.1515/ROSE.2010.73
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 model for the distribution of a long homopolymer with an attractive zero-range potential at the origin in R-3 (polymer pinning and de-pinning). The distribution can be obtained as a limit of Gibbs distributions corresponding to properly normalized potentials concentrated in small neighborhoods of the origin as the size of the neighborhoods tends to zero. The distribution depends on the length T of the polymer and a parameter gamma that corresponds, roughly speaking, to the difference between the inverse temperature in our model and the critical value of the inverse temperature. At the critical point gamma(cr) D-0 the transition occurs from the globular phase (positive recurrent behavior of the polymer, gamma > 0) to the extended phase (Brownian type behavior, gamma < 0). The main result of the paper is a detailed analysis of the behavior of the polymer when gamma is near gamma(cr). Our approach is based on analyzing the semigroups generated by the self-adjoint extensions L-gamma of the Laplacian on C-0(infinity)(R-3\{0}) parametrized by gamma, which are related to the distribution of the polymer. The main technical tool of the paper is the explicit formula for the resolvent of the operator L-gamma
引用
收藏
页码:73 / 95
页数:23
相关论文
共 50 条
  • [1] Regression Law of Fluctuations and Self-Similarity Law near Critical Point by Noting a Hierarchical Structure of Nature
    Ochiai, Moyuru
    2013 22ND INTERNATIONAL CONFERENCE ON NOISE AND FLUCTUATIONS (ICNF), 2013,
  • [3] NEW EXACTLY SOLVABLE HAMILTONIANS - SHAPE INVARIANCE AND SELF-SIMILARITY
    BARCLAY, DT
    DUTT, R
    GANGOPADHYAYA, A
    KHARE, A
    PAGNAMENTA, A
    SUKHATME, U
    PHYSICAL REVIEW A, 1993, 48 (04): : 2786 - 2797
  • [4] SELF-SIMILARITY OF STOCHASTIC MAGNETIC-FIELD LINES NEAR THE X-POINT
    ABDULLAEV, SS
    ZASLAVSKY, GM
    PHYSICS OF PLASMAS, 1995, 2 (12) : 4533 - 4541
  • [5] Continuous self-similarity breaking in critical collapse
    Frolov, AV
    PHYSICAL REVIEW D, 2000, 61 (08)
  • [6] Self-similarity of communities of the ABCD model
    Barrett, Jordan
    Kaminski, Bogumil
    Pralat, Pawel
    Theberge, Francois
    THEORETICAL COMPUTER SCIENCE, 2025, 1026
  • [7] Self-similarity of Communities of the ABCD Model
    Barrett, Jordan
    Kaminski, Bogumil
    Pralat, Pawel
    Theberge, Francois
    MODELLING AND MINING NETWORKS, WAW 2024, 2024, 14671 : 17 - 31
  • [8] Simply solvable model capturing the approach to statistical self-similarity for the diffusive coarsening of bubbles, droplets, and grains
    Chieco, Anthony T.
    Durian, Douglas J.
    PHYSICAL REVIEW E, 2023, 108 (03)
  • [9] Simply solvable model capturing the approach to statistical self-similarity for the diffusive coarsening of bubbles, droplets, and grains
    Chieco, Anthony T.
    Durian, Douglas J.
    PHYSICAL REVIEW E, 2024, 108 (03)
  • [10] Self-similarity for accurate compression of point sampled surfaces
    Digne, Julie
    Chaine, Raphaelle
    Valette, Sebastien
    COMPUTER GRAPHICS FORUM, 2014, 33 (02) : 155 - 164