Abstract
In principle, the concept of scale-invariance enables relevant information to be gained on physical systems by different means. For example, minimization of the set of independent variables from dimensional analysis, selection of self-similar laws from evolution equations, selection of power laws for functions of a single scaling variable and characterization of geometry by a fractal dimension. In practice however, most of these approaches hardly apply. Various reasons for this include the fact that selection of power laws is invalid for multivariable functions, selection of other self-similar laws requires analytic modelling of systems, physical cut-offs (e.g. finite size effects) break scale-invariance (e.g. scale-similarity) and forbid fractal.
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Pocheau, A. (1997). From Scale-Invariance to Scale-Covariance in Out-of-Equilibrium Systems. In: Dubrulle, B., Graner, F., Sornette, D. (eds) Scale Invariance and Beyond. Centre de Physique des Houches, vol 7. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-09799-1_16
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DOI: https://doi.org/10.1007/978-3-662-09799-1_16
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