Results 51 to 60 of about 17,630 (186)

Topology and Phase Transitions: Paradigmatic Evidence [PDF]

open access: yesPhysical Review Letters, 2000
We report upon the numerical computation of the Euler characteristic (a topologic invariant) of the equipotential hypersurfaces _v of the configuration space of the two-dimensional lattice $ ^4$ model. The pattern ( _v) vs. v (potential energy) reveals that a major topology change in the family { _v}_{v\in R} is at the origin of the phase ...
Franzosi, R., Pettini, M., Spinelli, L.
openaire   +5 more sources

Joint transitivity for linear iterates

open access: yesForum of Mathematics, Sigma
We establish sufficient and necessary conditions for the joint transitivity of linear iterates in a minimal topological dynamical system with commuting transformations.
Sebastián Donoso   +2 more
doaj   +1 more source

Linear dynamics of semigroups generated by differential operators

open access: yesOpen Mathematics, 2017
During the last years, several notions have been introduced for describing the dynamical behavior of linear operators on infinite-dimensional spaces, such as hypercyclicity, chaos in the sense of Devaney, chaos in the sense of Li-Yorke, subchaos, mixing ...
Alberto Conejero J.   +3 more
doaj   +1 more source

From Stability to Chaos: A Complete Classification of the Damped Klein‐Gordon Dynamics

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT We investigate the transition between stability and chaos in the damped Klein‐Gordon equation, a fundamental model for wave propagation and energy dissipation. Using semigroup methods and spectral criteria, we derive explicit thresholds that determine when the system exhibits asymptotic stability and when it displays strong chaotic dynamics ...
Carlos Lizama   +2 more
wiley   +1 more source

Magnetism-induced topological transition in EuAs3 [PDF]

open access: yesNature Communications, 2020
Abstract The nature of the interaction between magnetism and topology in magnetic topological semimetals remains mysterious, but may be expected to lead to a variety of novel physics. We systematically studied the magnetic semimetal EuAs 3 , demonstrating a magnetism-induced
Erjian Cheng   +18 more
openaire   +5 more sources

Functional and Structural Connectome Features for Machine Learning Chemo-Brain Prediction in Women Treated for Breast Cancer with Chemotherapy

open access: yesBrain Sciences, 2020
Breast cancer is the leading cancer among women worldwide, and a high number of breast cancer patients are struggling with psychological and cognitive disorders.
Vincent Chin-Hung Chen   +4 more
doaj   +1 more source

Invariance entropy, quasi-stationary measures and control sets

open access: yes, 2017
For control systems in discrete time, this paper discusses measure-theoretic invariance entropy for a subset Q of the state space with respect to a quasi-stationary measure obtained by endowing the control range with a probability measure.
Colonius, Fritz
core   +1 more source

Beyond our backyard: Unravelling how social‐ecological fit drives the formation of inter‐regional collaborative networks for water governance in the Yellow River Basin

open access: yesPeople and Nature, EarlyView.
Abstract The societal and biophysical permeability across human‐demarcated jurisdictions within watersheds necessitates collaboration among administrative regions. The effectiveness of such collaboration is partly determined by the degree to which institutional arrangements align with underlying social and ecological interdependencies, a concept ...
Fang Wang   +3 more
wiley   +1 more source

Genericity in Topological Dynamics

open access: yes, 2006
We study genericity of dynamical properties in the space of homeomorphisms of the Cantor set and in the space of subshifts of a suitably large shift space.
Ageev   +7 more
core   +3 more sources

An objective Bayesian method for including parameter uncertainty in ensemble model output statistics

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Conventional model output statistics and ensemble model output statistics methods for calibrating ensemble forecasts lead to severe underestimation of the probabilities of ensemble extremes (in blue). This is because they ignore statistical parameter uncertainty.
Stephen Jewson   +4 more
wiley   +1 more source

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