Results 21 to 30 of about 161,256 (270)
Automatic differentiable numerical renormalization group
Machine learning techniques have recently gained prominence in physics, yielding a host of new results and insights. One key concept is that of backpropagation, which computes the exact gradient of any output of a program with respect to any input.
Jonas B. Rigo, Andrew K. Mitchell
doaj +1 more source
Neural Monte Carlo renormalization group
The key idea behind the renormalization group (RG) transformation is that properties of physical systems with very different microscopic makeups can be characterized by a few universal parameters.
Jui-Hui Chung, Ying-Jer Kao
doaj +1 more source
Asymptotic freedom and higher derivative gauge theories
The ultraviolet completion of gauge theories by higher derivative terms can dramatically change their behavior at high energies. The requirement of asymptotic freedom imposes very stringent constraints that are only satisfied by a small family of higher ...
M. Asorey, F. Falceto, L. Rachwał
doaj +1 more source
Local renormalization group functions from quantum renormalization group and holographic bulk locality [PDF]
The bulk locality in the constructive holographic renormalization group requires miraculous cancellations among various local renormalization group functions. The cancellation is not only from the properties of the spectrum but from more detailed aspects
Nakayama, Yu
core +3 more sources
Towards general scalar-Yukawa renormalisation group equations at three-loop order
For arbitrary four-dimensional quantum field theories with scalars and fermions, renormalisation group equations in the MS ¯ $$ \overline{\mathrm{MS}} $$ scheme are investigated at three-loop order in perturbation theory.
Tom Steudtner
doaj +1 more source
Renormalization group and nonequilibrium action in stochastic field theory [PDF]
We investigate the renormalization group approach to nonequilibrium field theory. We show that it is possible to derive nontrivial renormalization group flow from iterative coarse graining of a closed-time-path action.
A. Berera+56 more
core +2 more sources
Renormalization group approach to spontaneous stochasticity
We develop a theoretical approach to “spontaneous stochasticity” in classical dynamical systems that are nearly singular and weakly perturbed by noise. This phenomenon is associated with a breakdown in the uniqueness of solutions for fixed initial data ...
Gregory L. Eyink, Dmytro Bandak
doaj +1 more source
Quantum renormalization group [PDF]
The observed IR and the spectator UV particles of a regulated, cutoff quantum field theory are entangled by their interactions; hence, the IR sector can be described by the help of the density matrix only. The tree-level renormalized trajectory is obtained for a self-interacting scalar field theory, containing the mixed state contributions. One needs a
Nagy, Sándor+2 more
openaire +4 more sources
Renormalization Group in Non-Relativistic Quantum Statistics [PDF]
Dynamic behaviour of a boson gas near the condensation transition in the symmetric phase is analyzed with the use of an effective large-scale model derived from time-dependent Green functions at finite temperature.
Honkonen Juha+4 more
doaj +1 more source
The Holographic Renormalization Group [PDF]
In this lecture, we review the derivation of the holographic renormalization group given in hep-th/9912012. Some extra background material is included, and various applications are discussed.
openaire +4 more sources