Functional renormalization group applied to nearly continuous spectra yields a scale-dependent canonical dimension that undergoes a dimensional phase transition at signal-to-noise ratios below the BBP threshold, correlating with symmetry breaking and eigenvector deviations.
‘An intriguing connection between Pisarski’s fixed point and (2 + 3)-spin glasses’
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Derives WGC bounds q/(m r+) ≥ 1/√2 (universal, parameters cancel) in dRGT gravity and q/(m r+) ≥ e^{-γ/2} in ModMax theory from CFT pole analysis, with relaxed forms when assumptions are dropped.
FEG-Pro estimates finite-horizon forecast-error growth slopes from scalar time series via kNN multi-horizon forecasting as proxies for largest Lyapunov exponents, while extracting additional profile descriptors.
Larger pumping areas produce extended condensate states for short memory times or angular structures for long memory times in non-Markovian polariton systems.
The FDD system yields analytical entropies matching the harmonic oscillator with effective frequency for the flat case, but requires numerical momentum-space analysis on curved space where Landau levels lose infinite degeneracy.
Bayesian-ARGOS is a hybrid frequentist-Bayesian method that discovers equations from limited noisy observations more efficiently than SINDy or bootstrap-ARGOS while adding uncertainty quantification.
In spatial public goods games on lattices, allowing agents to reevaluate and change interaction groups promotes cooperation emergence, while high rates of group switching suppress it.
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Functional Renormalization for Signal Detection: Dimensional Analysis and Dimensional Phase Transition for Nearly Continuous Spectra Effective Field Theory
Functional renormalization group applied to nearly continuous spectra yields a scale-dependent canonical dimension that undergoes a dimensional phase transition at signal-to-noise ratios below the BBP threshold, correlating with symmetry breaking and eigenvector deviations.