2024
Multiplicative Renormalization of Stochastic Differential Equations for the Abelian Sandpile Model
Abstract: The long-term, large-scale behavior in a problem of stochastic nonlinear dynamics corresponding to the Abelian sandpile model is studied with the use of the quantum-field theory renormalization group approach. We prove the multiplicative renormalization of the model including an infinite number of coupling parameters, calculate an infinite number of renormalization constants, identify a plane of fixed points in the infinite dimensional space of coupling parameters, discuss their stability and critical scaling …
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Cited by 5 publications
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“…This model is widely used in fields such as physics, economics, mathematics, and theoretical computer science [ 21 , 22 , 23 , 24 , 25 ]. Its applications range from cellular automata and information systems to earthquake calculations [ 26 ], studies of river sediments [ 27 ], the spread of forest fires [ 28 , 29 , 30 , 31 ], investigations of the Earth’s magnetosphere [ 32 ], studies of precipitation distribution [ 20 ], diffusion problems (such as those involving lattice gas and lattice Boltzmann models) [ 33 ], social sciences [ 34 ], neuroscience [ 35 ], and the study of consciousness [ 36 ], as well as theoretical mathematical investigations on the application of renormalization group methods [ 37 , 38 ].…”
Section: Characteristics Of the Sandpile Modelmentioning
confidence: 99%
“…This model is widely used in fields such as physics, economics, mathematics, and theoretical computer science [ 21 , 22 , 23 , 24 , 25 ]. Its applications range from cellular automata and information systems to earthquake calculations [ 26 ], studies of river sediments [ 27 ], the spread of forest fires [ 28 , 29 , 30 , 31 ], investigations of the Earth’s magnetosphere [ 32 ], studies of precipitation distribution [ 20 ], diffusion problems (such as those involving lattice gas and lattice Boltzmann models) [ 33 ], social sciences [ 34 ], neuroscience [ 35 ], and the study of consciousness [ 36 ], as well as theoretical mathematical investigations on the application of renormalization group methods [ 37 , 38 ].…”
Section: Characteristics Of the Sandpile Modelmentioning
confidence: 99%
