Exploring multi-parameter optimization in FRG
Abstract
The use of nonperturbative Wilsonian functional renormalization group (FRG) equations within an unavoidable approximation scheme produces physical results that depend on the choice of the coarse-graining regulator. This dependence of physical observables on the regulator can be minimized according to the principle of minimal sensitivity (PMS). For the 1PI formulation based on the Wetterich-Morris equation, we propose to investigate the optimal choice within a space of compactly supported polynomial regulators parametrized by a set of variables. We test this approach using the derivative expansion of the effective average action up to fourth order, applying it to the scalar field theory representing the three-dimensional Ising universality class and minimizing the dependence of the anomalous dimension on the regulator. At fourth order, we find appreciable corrections to the critical exponents that improve the predictions, compared to previous one parameter analyses. We also observe families of compact regulators that rapidly converge towards an optimal functional form as a small number of parameters is progressively introduced.
Related
- Exploring new directions in enhancing the ACTS parameter optimization suite
- Maximizing Smith-Purcell radiation intensity via multi-parameter optimization
- Selecting movements for muscle parameter estimation: insights from gradient analysis in trajectory optimization
- Exploring the Parameter Space of pvCD-Bonn Potentials under Constraints from Nuclear Saturation Properties
- Specimen design for material parameter identification using topology optimization
BibTeX
@misc{codello2026exploring,
title = {{Exploring multi-parameter optimization in FRG}},
author = {A. Codello and G. P. Vacca and D. Zarrilli},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.20667},
eprint = {2609.20667},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.20667},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Exploring multi-parameter optimization in FRG
AU - A. Codello
AU - G. P. Vacca
AU - D. Zarrilli
PY - 2026
DA - 2026/09/17
PB - arXiv
DO - 10.48550/arxiv.2609.20667
UR - https://arxiv.org/abs/2609.20667
AB - The use of nonperturbative Wilsonian functional renormalization group (FRG) equations within an unavoidable approximation scheme produces physical results that depend on the choice of the coarse-graining regulator. This dependence of physical observables on the regulator can be minimized according to the principle of minimal sensitivity (PMS). For the 1PI formulation based on the Wetterich-Morris equation, we propose to investigate the optimal choice within a space of compactly supported polynomial regulators parametrized by a set of variables. We test this approach using the derivative expansion of the effective average action up to fourth order, applying it to the scalar field theory representing the three-dimensional Ising universality class and minimizing the dependence of the anomalous dimension on the regulator. At fourth order, we find appreciable corrections to the critical exponents that improve the predictions, compared to previous one parameter analyses. We also observe families of compact regulators that rapidly converge towards an optimal functional form as a small number of parameters is progressively introduced.
ER -