Statistical Mechanics of Membranes and Surfaces 2004
DOI: 10.1142/9789812565518_0009
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STATISTICAL MECHANICS OF SELF-AVOIDING CRUMPLED MANIFOLDS — Part II

Abstract: †We consider a model of a D-dimensional tethered manifold interacting by excluded volume in IR d with a single point. Use of intrinsic distance geometry provides a rigorous definition of the analytic continuation of the perturbative expansion for arbitrary D, 0 < D < 2. Its oneloop renormalizability is first established by direct resummation. A renormalization operation R is then described, which ensures renormalizability to all orders. The similar question of the renormalizability of the self-avoiding manifol… Show more

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“…Although the necessity to go beyond Gaussian chains has been realized for a long time (the seminal paper by Flory [2] appeared more than half a century ago), our knowledge of the mechanical behavior of networks of non-Gaussian chains remains rather limited, due to some difficulties in their mathematical treatment. Serious progress in the analysis of statistics of single polymer chains and membranes with excluded-volume interactions was reached by using the renormalization group technique [3,4,5,6]. These methods, however, have been employed for the analysis of the distribution functions only and have not yet been applied to determine the strain energy of a network, despite the importance of the latter problem for applications, see [7,8] and the references therein, as well as recent publications [9,10,11,12].…”
Section: Introductionmentioning
confidence: 99%
“…Although the necessity to go beyond Gaussian chains has been realized for a long time (the seminal paper by Flory [2] appeared more than half a century ago), our knowledge of the mechanical behavior of networks of non-Gaussian chains remains rather limited, due to some difficulties in their mathematical treatment. Serious progress in the analysis of statistics of single polymer chains and membranes with excluded-volume interactions was reached by using the renormalization group technique [3,4,5,6]. These methods, however, have been employed for the analysis of the distribution functions only and have not yet been applied to determine the strain energy of a network, despite the importance of the latter problem for applications, see [7,8] and the references therein, as well as recent publications [9,10,11,12].…”
Section: Introductionmentioning
confidence: 99%