2003
DOI: 10.1103/physrevd.67.065004
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Optimization of the derivative expansion in the nonperturbative renormalization group

Abstract: We study the optimization of nonperturbative renormalization group equations truncated both in fields and derivatives. On the example of the Ising model in three dimensions, we show that the Principle of Minimal Sensitivity can be unambiguously implemented at order ∂ 2 of the derivative expansion. This approach allows us to select optimized cutoff functions and to improve the accuracy of the critical exponents ν and η. The convergence of the field expansion is also analyzed. We show in particular that its opti… Show more

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Cited by 195 publications
(305 citation statements)
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“…Eq. (5.9) in its integral form, only allowing global changes along the full flow trajectory, is related to the principle of minimum sensitivity (PMS) [59], which has been introduced to the functional RG in [60], for further applications see [61][62][63]. Its limitations have been discussed in [66].…”
Section: B Principle Of Minimum Sensitivitymentioning
confidence: 99%
See 1 more Smart Citation
“…Eq. (5.9) in its integral form, only allowing global changes along the full flow trajectory, is related to the principle of minimum sensitivity (PMS) [59], which has been introduced to the functional RG in [60], for further applications see [61][62][63]. Its limitations have been discussed in [66].…”
Section: B Principle Of Minimum Sensitivitymentioning
confidence: 99%
“…This is intimately linked to numerical stability and the convergence of results towards physics as already mentioned in the context of RG rescalings in the last section. By now a large number of conceptual advances have been accumulated [60][61][62][63][64][65][66][67][68][69][70][71], and are detailed in sections V B, V C. In particular [64] offers a structural approach towards optimisation which allows for a construction of optimised regulators within general truncation schemes. Still a fully satisfactory set-up requires further work.…”
Section: Optimisationmentioning
confidence: 99%
“…This idea has been turned into an efficient computational tool during the last ten years, mainly by Ellwanger [35,36,37,38,39], Morris [40,41] and Wetterich [42,43,44,45]. It has allowed to determine the critical exponents of the O(N ) models with high precision without having recourse to resummation techniques [45,46,47,48,49,50]. It has also allowed, for the first time [51], to relate, for any N , the results of the O(N )/O(N − 1) model obtained near d = 4 and d = 2, a fact of major importance for our purpose.…”
Section: Introductionmentioning
confidence: 99%
“…We have therefore considered a one-parameter family of functions R k and have computed the critical exponents for all elements of this family. The function R k that is selected as optimal is that for which the exponents are stationary with respect to a change of R k (this is an implementation of the Principle of Minimal Sensitivity) [35]. At each order of the derivative expansion, this leads to a set of optimal exponents.…”
Section: Some Results Obtained With the Nprg Methodsmentioning
confidence: 99%
“…Second, the choice of a cut-off function R k that, in principle, has no effect since R k (q 2 ) vanishes identically in the limit k → 0, does matter once truncations are performed. Many studies have been devoted to finding an optimal choice [33][34][35][36][37]. None of them gives a complete solution to this problem.…”
Section: The Equilibrium Casementioning
confidence: 99%