scholarly journals Scaling of Self-Avoiding Tethered Membranes: 2-Loop Renormalization Group Results

1996 ◽  
Vol 76 (24) ◽  
pp. 4564-4567 ◽  
Author(s):  
François David ◽  
Kay Jörg Wiese
Keyword(s):  
Renormalization Group ◽  
Tethered Membranes

Edge correlations of fluid and tethered membranes

1992 ◽  
Vol 2 (5) ◽  
pp. 663-676 ◽  
Author(s):  
G. Gompper ◽  
D. M. Kroll
Keyword(s):  
Tethered Membranes

The renormalization group and ultraviolet asymptotics

1979 ◽  
Vol 129 (11) ◽  
pp. 407 ◽  
Author(s):  
A.A. Vladimirov ◽  
D.V. Shirkov
Keyword(s):  
Renormalization Group

Phenomenological Renormalization Group and Cluster Approximation

2014 ◽  
Vol 59 (7) ◽  
pp. 655-662
Author(s):  
O. Borisenko ◽  
◽  
V. Chelnokov ◽  
V. Kushnir ◽  
◽  
...  
Keyword(s):  
Renormalization Group ◽  
Cluster Approximation ◽  
Phenomenological Renormalization

Renormalization Group

2020 ◽  
Author(s):  
Giuseppe Benfatto ◽  
Giovanni Gallavotti
Keyword(s):  
Renormalization Group

The Non-Causal Character of Renormalization Group Explanations

2018 ◽  
Author(s):  
Margaret Morrison
Keyword(s):  
Probability Theory ◽  
Renormalization Group ◽  
Dynamical Systems ◽  
Recent Literature ◽  
Mathematical Explanation ◽  
Causal Status ◽  
Physical Information ◽  
The Relationship ◽  
Structural Aspects

After reviewing some of the recent literature on non-causal and mathematical explanation, this chapter develops an argument as to why renormalization group (RG) methods should be seen as providing non-causal, yet physical, information about certain kinds of systems/phenomena. The argument centres on the structural character of RG explanations and the relationship between RG and probability theory. These features are crucial for the claim that the non-causal status of RG explanations involves something different from simply ignoring or “averaging over” microphysical details—the kind of explanations common to statistical mechanics. The chapter concludes with a discussion of the role of RG in treating dynamical systems and how that role exemplifies the structural aspects of RG explanations which in turn exemplifies the non-causal features.

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