Statistics of toppling wave boundaries in deterministic and stochastic sandpile models

被引:0
|
作者
Dashti-Naserabadi, H. [1 ]
Azimi-Tafreshi, N. [2 ]
Moghimi-Araghi, S. [1 ]
机构
[1] Sharif Univ Technol, Dept Phys, Tehran, Iran
[2] Univ Aveiro, Dept Fis, P-3810193 Aveiro, Portugal
关键词
TANG-WIESENFELD SANDPILE; ERASED RANDOM-WALKS; CONFORMAL-INVARIANCE; CRITICAL EXPONENTS; UNIVERSALITY; PERCOLATION; SLE;
D O I
10.1088/1751-8113/45/4/045001
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We study numerically the statistics of curves which form the boundaries of toppling wave clusters in the deterministic Bak, Tang and Wiesenfeld sandpile model and stochastic Manna model on a square lattice. We consider the Abelian version of each model. Multiple tests show that the boundary of toppling wave clusters in both deterministic and stochastic models can be described by SLE kappa curves with diffusivity kappa = 2.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Stochastic and deterministic models for agricultural production networks
    Bai, P.
    Banks, H. T.
    Dediu, S.
    Govan, A. Y.
    Last, M.
    Lloyd, A. L.
    Nguyen, H. K.
    Olufsen, M. S.
    Rempala, G.
    Slenning, B. D.
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2007, 4 (03) : 373 - 402
  • [42] Deterministic versus stochastic models for circadian rhythms
    Gonze, D
    Halloy, J
    Goldbeter, A
    JOURNAL OF BIOLOGICAL PHYSICS, 2002, 28 (04) : 637 - 653
  • [43] Deterministic and stochastic models of NFκB pathway
    Lipniacki, Tomasz
    Kimmel, Marek
    CARDIOVASCULAR TOXICOLOGY, 2007, 7 (04) : 215 - 234
  • [44] Deterministic and Stochastic Models of Arabidopsis thaliana Flowering
    E. Haspolat
    B. Huard
    M. Angelova
    Bulletin of Mathematical Biology, 2019, 81 : 277 - 311
  • [45] Response to `Stochastic and deterministic interpretation of pool models'
    Waring, Bonnie G.
    Sulman, Benjamin N.
    Reed, Sasha
    Smith, A. Peyton
    Averill, Colin
    Creamer, Courtney A.
    Cusack, Daniela F.
    Hall, Steven J.
    Jastrow, Julie D.
    Jilling, Andrea
    Kemner, Kenneth M.
    Kleber, Markus
    Allen Liu, Xiao-Jun
    Pett-Ridge, Jennifer
    Schulz, Marjorie
    GLOBAL CHANGE BIOLOGY, 2021, 27 (11) : e11 - e12
  • [46] Stochastic versus deterministic features in learning models
    Stamatescu, IO
    ALTERNATIVE LOGICS: DO SCIENCES NEED THEM?, 2004, : 205 - 213
  • [47] On Deterministic and Stochastic Multiple Pathogen Epidemic Models
    Vadillo, Fernando
    EPIDEMIOLOGIA, 2021, 2 (03): : 325 - 337
  • [48] Deterministic and stochastic ecotoxicological models of the population dynamics
    Ershov, YA
    Kotin, VV
    RUSSIAN JOURNAL OF PHYSICAL CHEMISTRY, 2000, 74 (09): : 1523 - 1531
  • [49] Control problems for stochastic-deterministic models
    Kafarov, V.V.
    Bodrov, V.I.
    Matveikin, V.G.
    Doklady. Chemical technology, 1989, 307-9 : 111 - 114
  • [50] Deterministic and constrained stochastic models of thunderstorm winds
    Romanic, Djordje
    JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2024, 253