Search results for "Exponential growth"

showing 10 items of 52 documents

Drift-controlled anomalous diffusion: a solvable Gaussian model

2000

We introduce a Langevin equation characterized by a time dependent drift. By assuming a temporal power-law dependence of the drift we show that a great variety of behavior is observed in the dynamics of the variance of the process. In particular diffusive, subdiffusive, superdiffusive and stretched exponentially diffusive processes are described by this model for specific values of the two control parameters. The model is also investigated in the presence of an external harmonic potential. We prove that the relaxation to the stationary solution is power-law in time with an exponent controlled by one of model parameters.

PhysicsStatistical Mechanics (cond-mat.stat-mech)Stochastic processAnomalous diffusionFOS: Physical sciencesLangevin equationsymbols.namesakeExponential growthExponentsymbolsRelaxation (physics)Statistical physicsGaussian network modelBrownian motionCondensed Matter - Statistical MechanicsPhysical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics
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Central Polynomials of Algebras and Their Growth

2020

A polynomial in noncommutative variables taking central values in an algebra A is called a central polynomial of A. For instance the algebra of k × k matrices has central polynomials. For general algebras the existence of central polynomials is not granted. Nevertheless if an algebra has such polynomials, how can one measure how many are there?

PolynomialPure mathematicsExponential growthCodimensionAlgebra over a fieldMeasure (mathematics)Noncommutative geometryMathematics
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Central polynomials of associative algebras and their growth

2018

Pure mathematicsExponential growthApplied MathematicsGeneral MathematicsCodimensionAssociative propertyMathematicsProceedings of the American Mathematical Society
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Anomalous partially hyperbolic diffeomorphisms I: dynamically coherent examples

2016

We build an example of a non-transitive, dynamically coherent partially hyperbolic diffeomorphism $f$ on a closed $3$-manifold with exponential growth in its fundamental group such that $f^n$ is not isotopic to the identity for all $n\neq 0$. This example contradicts a conjecture in \cite{HHU}. The main idea is to consider a well-understood time-$t$ map of a non-transitive Anosov flow and then carefully compose with a Dehn twist.

Pure mathematicsFundamental groupMathematics::Dynamical SystemsGeneral Mathematics[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS]MSc: 37D30[MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]Dynamical Systems (math.DS)01 natural sciencesIdentity (music)Exponential growth0103 physical sciencesFOS: MathematicsMathematics - Dynamical Systems0101 mathematicsMathematicsConjecture010102 general mathematicsClassificationMathematics::Geometric TopologyDehn twistFlow (mathematics)Partially hyperbolic diffeomorphisms010307 mathematical physicsDiffeomorphism
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Counting Zeros of Holomorphic Functions

2019

In this chapter we will generalize Proposition 3.4.6 of Hager about counting the zeros of holomorphic functions of exponential growth. In Hager and Sjostrand (Math Ann 342(1):177–243, 2008. http://arxiv.org/abs/math/0601381) we obtained such a generalization, by weakening the regularity assumptions on the functions ϕ. However, due to some logarithmic losses, we were not quite able to recover Hager’s original result, and we still had a fixed domain Γ with smooth boundary.

Pure mathematicsLogarithmExponential growthGeneralizationHolomorphic functionBoundary (topology)Quite AbleDomain (mathematical analysis)Mathematics
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Graded polynomial identities and exponential growth

2009

Let $A$ be a finite dimensional algebra over a field of characteristic zero graded by a finite abelian group $G$. Here we study a growth function related to the graded polynomial identities satisfied by $A$ by computing the exponential rate of growth of the sequence of graded codimensions of $A$. We prove that the $G$-exponent of $A$ exists and is an integer related in an explicit way to the dimension of a suitable semisimple subalgebra of $A$.

Pure mathematicsPolynomialMathematics::Commutative AlgebraApplied MathematicsGeneral MathematicsMathematics::Rings and AlgebrasMathematics - Rings and AlgebrasSettore MAT/02 - Algebra16R10 16W50 16P90Exponential growthRings and Algebras (math.RA)FOS: Mathematicsgraded algebra polynomial identity growth codimensionsMathematics
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Rate of Mixing for Equilibrium States in Negative Curvature and Trees

2021

In this survey based on the recent book by the three authors, we recall the Patterson-Sullivan construction of equilibrium states for the geodesic flow on negatively curved orbifolds or tree quotients, and discuss their mixing properties, emphasizing the rate of mixing for (not necessarily compact) tree quotients via coding by countable (not necessarily finite) topological shifts. We give a new construction of numerous nonuniform tree lattices such that the (discrete time) geodesic flow on the tree quotient is exponentially mixing with respect to the maximal entropy measure: we construct examples whose tree quotients have an arbitrary space of ends or an arbitrary (at most exponential) grow…

Pure mathematicssymbols.namesakeExponential growthDiscrete time and continuous timeThermodynamic equilibriumsymbolsCountable setNegative curvatureGibbs measureQuotientMathematicsExponential function
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There is a steady-state transcriptome in exponentially growing yeast cells

2010

The growth of yeast cells in batches in glucose-based media is a standard condition in most yeast laboratories. Most gene expression experiments are done by taking this condition as a reference. Presumably, cells are in a stable physiological condition that can be easily reproduced in other laboratories. With this assumption, however, it is necessary to consider that the average amount of the mRNAs per cell for most genes does not change during exponential growth. That is to say, there is a steady-state condition for the transcriptome. However, this has not been rigorously demonstrated to date. In this work we take several cell samples during the exponential phase growth to perform a kineti…

Saccharomyces cerevisiaeBioengineeringMycologySaccharomyces cerevisiaeApplied Microbiology and BiotechnologyBiochemistrySaccharomycesGenètica molecularTranscriptomeSaccharomycesTranscripció genèticaExponential growthGene expressionGeneticsRNA MessengerGeneticsbiologyGene Expression ProfilingPhysiological conditionRNA Fungalbiology.organism_classificationYeastCulture MediaCell biologyGene expression profilingRNABiotechnologyYeast
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Analysis of a parabolic cross-diffusion population model without self-diffusion

2006

Abstract The global existence of non-negative weak solutions to a strongly coupled parabolic system arising in population dynamics is shown. The cross-diffusion terms are allowed to be arbitrarily large, whereas the self-diffusion terms are assumed to disappear. The last assumption complicates the analysis since these terms usually provide H 1 estimates of the solutions. The existence proof is based on a positivity-preserving backward Euler–Galerkin approximation, discrete entropy estimates, and L 1 weak compactness arguments. Furthermore, employing the entropy–entropy production method, we show for special stationary solutions that the transient solution converges exponentially fast to its…

Self-diffusioneducation.field_of_studyKullback–Leibler divergenceRelative entropyStrong cross-diffusionApplied MathematicsMathematical analysisPopulationLong-time behavior of solutionsWeak competitionArbitrarily largeCompact spaceExponential growthPopulation modelEntropy (information theory)Global-in-time existence of weak solutionseducationPopulation equationsAnalysisMathematicsJournal of Differential Equations
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Rapid parameter estimation of discrete decaying signals using autoencoder networks

2021

Machine learning: science and technology 2(4), 045024 (2021). doi:10.1088/2632-2153/ac1eea

Signal Processing (eess.SP)FOS: Computer and information sciencesAccuracy and precisionComputer Science - Machine LearningComputer scienceddc:621.3FOS: Physical sciences01 natural sciencesSignalMachine Learning (cs.LG)010309 opticsExponential growthArtificial Intelligence0103 physical sciencesFOS: Electrical engineering electronic engineering information engineeringLimit (mathematics)Neural and Evolutionary Computing (cs.NE)Electrical Engineering and Systems Science - Signal Processing010306 general physicsSignal processingArtificial neural networkEstimation theoryComputer Science - Neural and Evolutionary ComputingAutoencoder621.3Human-Computer InteractionPhysics - Data Analysis Statistics and ProbabilityAlgorithmSoftwareData Analysis Statistics and Probability (physics.data-an)Machine Learning: Science and Technology
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