The MaxEnt reduction of UPPER levels to the upper level will be termed MaxEnt-reductions, see [5]. A comparison of the upper reduced thermodynamic potential with the upper MaxEnt-reduced thermodynamic potential, both restricted to the critical region, is then the essence of the renormalization-...
The derived equations include the Boltzmann equation in classical mechanics, the Fokker鈥揚lanck equation, and a rate equation in a quantum field theoretical model. Utilizing the formulation of the RG method which elucidates the important role played by the choice of the initial conditions, the ...
our theory is the first to address temporal correlations of message losses in time-varying networks and the first to harness methods of renormalization group theory to address this question of both fundamental and practical interest, featuring an application of theoretical physics to computer science....
Renormalization-group theoretical reduction It has been known for some time that singular perturbation and reductive perturbation can be unified from the renormalization-group (RG) theoretical point ... K Nozaki,Y Oono - 《Phys Rev E Stat Nonlin Soft Matter Phys》 被引量: 79发表: 2001年 A Me...
A basic open question in statistical physics of networks is how to define a reduction scheme to detect all internal characteristic scales that significantly exceed the microscopic one. This is the hunting ground for a very powerful tool in modern theoretical physics, the renormalization group (RG)1...
Reduction of charm quark mass scheme dependence in B → X s γ mathContainer Loading Mathjax at the NNLL level The uncertainty of the theoretical prediction of the B → X s γ mathContainer Loading Mathjax branching ratio at NLL level is dominated by the charm mass renormalization scheme ambi...
We perform a data-driven dimensionality reduction of the scale-dependent 4-point vertex function characterizing the functional Renormalization Group (fRG) flow for the widely studied two-dimensional t - t' t - t' Hubbard model on the square lattice. We demonstrate that a deep learning architecture...
In the paper, we have outlined some progress on the researches of relativistic symmetries using the similarity renormalization group method and presented the theoretical details for the spherical and axially deformed nuclei. The Dirac Hamiltonian obtained from covariant density functional theory is transform...
For the reduction of the two-loop Feynman integrals to the master ones the method of Ref. [20] was used. The solution of Eq. (3) can be written as a sum of the LL and NLL contributions. The LL result is already known and reads [12] (see also [13]) (10)DS2,s(2)LL=αs(...
In the top–down scenario, a full theory is known at the high-energy scale and the theoretical predictions for neutrino parameters are given as initial conditions. At the threshold of heavy particle decoupling, one has to match the resulting effective theory with the full theory, so that the ...