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We examine anew the relationship of directed polymers in random media on traditional hypercubic versus hierarchical lattices, with the goal of understanding the dimensionality dependence of the essential scaling index β at the heart of the Kardar-Parisi-Zhang universality class. A seemingly accurate, but entirely empirical, ansatz due to Perlsman and Schwartz, proposed many years ago, can be put in proper context by anchoring the connection between these distinct lattice types at vanishing dimensionality. We graft together complementary perturbative field-theoretic and nonperturbative real-space renormalization group tools to establish the necessary connection, thereby elucidating the central mystery underlying the ansatz's uncanny apparent success, but also revealing its intrinsic limitations. Furthermore, we perform an extensive Euler integration of the KPZ equation in 3+1 dimensions which, bolstered by a separate directed polymer simulation, allows us an estimate for the critical exponent β_{3+1}^{KPZ}=0.1845(4) that greatly improves upon all previous Monte Carlo calculations in this regard and rules out the Perlsman-Schwartz value, 0.1882^{+}, in that dimension. Finally, leveraging this hybrid RG partnership permits us a versatile, more potent, tool to explore the general KPZ problem across dimensions, as well as a conjecture for its key critical exponent, β=1/2-0.22967ɛ, as ɛ→0, testable in a three-loop calculation.
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http://dx.doi.org/10.1103/PhysRevE.111.014147 | DOI Listing |
J Phys Condens Matter
September 2025
Department of Physics, Temple University, Barton Hall, Philadelphia, PA 19122-6082, USA, Philadelphiaa, Pennsylvania, 19122, UNITED STATES.
We examine the magnetic excitations of an Anderson lattice model with a Vshaped pseudogap arising from nodal hybridization. The model produces a V-shaped pseudogap in the electronic density of states near the Fermi energy. It lies close to an antiferromagnetic quantum critical point and features lowdimensional Fermi surfaces, aligning with experimental observations of CeNiSn.
View Article and Find Full Text PDFChaos
September 2025
Physics and Applied Mathematics Unit, Indian Statistical Institute, 203 B. T. Road, Kolkata 700108, India.
Recent findings suggest that higher-order (group) interactions provide a general pathway to explosive phenomena in networks of coupled oscillators. While these abrupt, first-order transitions, termed explosive synchronization, are of significant theoretical interest, they are often undesirable and potentially dangerous in many real-world systems. Motivated by this, we investigate a control mechanism to suppress explosive synchronization in adaptive multilayer networks incorporating higher-order interactions by introducing a phase lag into the system.
View Article and Find Full Text PDFThe ability to detect and transmit novel events is essential for adaptive behavior in uncertain environments. Here, we investigate how holographically triggered, unanticipated action potentials propagate through the primary visual cortex of resting mice, focusing on pyramidal neuron communication. We find that these novel spikes - uncorrelated with ongoing activity - exert a disproportionately large influence on neighboring neurons, whose response scales as a power law (exponent ∼0.
View Article and Find Full Text PDFPLoS One
September 2025
Leibniz Institute of Ecological Urban and Regional Development (IOER), Dresden, Germany.
Cities exhibit both beneficial and detrimental characteristics, many of which stem from agglomeration effects and are, to a first approximation, influenced by population size. However, urban density also plays a critical role. For example, cities with similar population sizes but higher densities tend to emit less carbon, while simultaneously exhibiting a more pronounced urban heat island (UHI) effect.
View Article and Find Full Text PDFFront Sports Act Living
August 2025
Department of Health Sciences, Swedish Winter Sports Research Centre, Mid Sweden University, Östersund, Sweden.
Introduction: Power profiling is widely used in cycling performance analysis, but both absolute and mass-normalized power outputs have limitations as performance indicators, as they neglect external factors such as terrain, wind, aerodynamic drag, and pacing strategy. To address these limitations, this study introduced a numerical method to quantify how external forces acting on the cyclist influence the conversion of power output into race velocity. Thus, the study aimed to enable accurate prediction of cycling performance based on estimated mean power output over complex time-trial courses.
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