Search results for "topological [string]"

showing 10 items of 213 documents

Measuring hydrological connectivity inside soils with different texture by fast field cycling nuclear magnetic resonance relaxometry

2022

Abstract The locution “hydrological connectivity inside the soil” is generally used to disclose how the spatial patterns inside the soil affect the physical–chemical processes at a molecular level to influence water transfer into the soil, the surface runoff and related sediment transport. Fast Field Cycling (FFC) Nuclear Magnetic Resonance (NMR) relaxometry has been used to measure both structural and functional connectivity by two indexes indicated as structural (SCI) and functional (FCI) connectivity index. Here, FFC-NMR relaxometry has been applied to analyze three samples: two non-degraded soils, having different grain-size distribution, and a degraded soil sampled in a badland area. P…

RelaxometrySoil textureStructural connectivityRelaxation (NMR)Hydrological connectivityNuclear magnetic resonanceFunctional connectivityNuclear magnetic resonanceTopological indexSoil propertieSoil waterSpatial ecologyRange (statistics)Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliEnvironmental scienceRelaxometrySurface runoffEarth-Surface ProcessesCATENA
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Topological magneto-optical effects and their quantization in noncoplanar antiferromagnets

2018

Reflecting the fundamental interactions of polarized light with magnetic matter, magneto-optical effects are well known since more than a century. The emergence of these phenomena is commonly attributed to the interplay between exchange splitting and spin-orbit coupling in the electronic structure of magnets. Using theoretical arguments, we demonstrate that topological magneto-optical effects can arise in noncoplanar antiferromagnets due to the finite scalar spin chirality, without any reference to exchange splitting or spin-orbit coupling. We propose spectral integrals of certain magneto-optical quantities that uncover the unique topological nature of the discovered effect. We also find th…

ScienceFOS: Physical sciencesGeneral Physics and Astronomy02 engineering and technologyElectronic structureTopology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyArticleMagneto opticalsymbols.namesakeQuantization (physics)Magnetic properties and materials0103 physical sciencesFaraday effectTopological insulators010306 general physicslcsh:ScienceQuantumPhysicsCondensed Matter - Materials ScienceMultidisciplinaryQMaterials Science (cond-mat.mtrl-sci)General Chemistry021001 nanoscience & nanotechnologyFundamental interactionMagnetsymbolsCondensed Matter::Strongly Correlated Electronslcsh:Qddc:500Astrophysics::Earth and Planetary AstrophysicsMagneto-optics0210 nano-technology
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A Survey on Just-Non-X Groups

2010

Let be a class of groups. A group which does not belong to but all of whose proper quotient groups belong to is called just-non- group. The present note is a survey of recent results on the topic with a special attention to topological groups.

Settore MAT/02 - AlgebraJNX groups MNX groups topological groupsSettore MAT/03 - Geometria
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Probability of mutually commuting n-tuples in some classes of compact groups

2008

In finite groups the probability that two randomly chosen elements commute or randomly ordered n−tuples of elements mutually commute have recently attracted interest by many authors. There are some classical results estimating the bounds for this kind of probability so that the knowledge of the whole structure of the group can be more accurate. The same problematic has been recently extended to certain classes of infinite compact groups in [2], obtaining restrictions on the group of the inner automorphisms. Here such restrictions are improved for a wider class of infinite compact groups.

Settore MAT/02 - AlgebraSettore MAT/05 - Analisi MatematicaSettore MAT/03 - GeometriaMutually commuting n-tuples commutativity degree compact groups topological groups
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Random Feature Approximation for Online Nonlinear Graph Topology Identification

2021

Online topology estimation of graph-connected time series is challenging, especially since the causal dependencies in many real-world networks are nonlinear. In this paper, we propose a kernel-based algorithm for graph topology estimation. The algorithm uses a Fourier-based Random feature approximation to tackle the curse of dimensionality associated with the kernel representations. Exploiting the fact that the real-world networks often exhibit sparse topologies, we propose a group lasso based optimization framework, which is solve using an iterative composite objective mirror descent method, yielding an online algorithm with fixed computational complexity per iteration. The experiments con…

Signal Processing (eess.SP)FOS: Computer and information sciencesComputer Science - Machine LearningComputational complexity theoryComputer scienceApproximation algorithmTopology (electrical circuits)Network topologyMachine Learning (cs.LG)Kernel (statistics)FOS: Electrical engineering electronic engineering information engineeringTopological graph theoryElectrical Engineering and Systems Science - Signal ProcessingOnline algorithmAlgorithmCurse of dimensionality
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Joint Graph Learning and Signal Recovery via Kalman Filter for Multivariate Auto-Regressive Processes

2018

In this paper, an adaptive Kalman filter algorithm is proposed for simultaneous graph topology learning and graph signal recovery from noisy time series. Each time series corresponds to one node of the graph and underlying graph edges express the causality among nodes. We assume that graph signals are generated via a multivariate auto-regressive processes (MAR), generated by an innovation noise and graph weight matrices. Then we relate the state transition matrix of Kalman filter to the graph weight matrices since both of them can play the role of signal propagation and transition. Our proposed Kalman filter for MAR processes, called KF-MAR, runs three main steps; prediction, update, and le…

State-transition matrixMultivariate statistics010504 meteorology & atmospheric sciencesNoise measurementComputer scienceInference020206 networking & telecommunications02 engineering and technologyKalman filter01 natural sciencesGraphMatrix (mathematics)Autoregressive model0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)Topological graph theoryOnline algorithmTime seriesAlgorithm0105 earth and related environmental sciences2018 26th European Signal Processing Conference (EUSIPCO)
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Hierarchical Structure in Financial Markets

1998

I find a topological arrangement of stocks traded in a financial market which has associated a meaningful economic taxonomy. The topological space is a graph connecting the stocks of the portfolio analyzed. The graph is obtained starting from the matrix of correlation coefficient computed between all pairs of stocks of the portfolio by considering the synchronous time evolution of the difference of the logarithm of daily stock price. The hierarchical tree of the subdominant ultrametric space associated with the graph provides information useful to investigate the number and nature of the common economic factors affecting the time evolution of logarithm of price of well defined groups of sto…

Statistical Finance (q-fin.ST)Statistical Mechanics (cond-mat.stat-mech)LogarithmFinancial marketStructure (category theory)Quantitative Finance - Statistical FinanceFOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksTopological spaceCondensed Matter PhysicsTree (graph theory)Electronic Optical and Magnetic MaterialsFOS: Economics and businessComputer Science::Computational Engineering Finance and ScienceEconometricsGraph (abstract data type)PortfolioUltrametric spaceCondensed Matter - Statistical MechanicsMathematics
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Haldane Model at finite temperature

2019

We consider the Haldane model, a 2D topological insulator whose phase is defined by the Chern number. We study its phases as temperature varies by means of the Uhlmann number, a finite temperature generalization of the Chern number. Because of the relation between the Uhlmann number and the dynamical transverse conductivity of the system, we evaluate also the conductivity of the model. This analysis does not show any sign of a phase transition induced by the temperature, nonetheless it gives a better understanding of the fate of the topological phase with the increase of the temperature, and it provides another example of the usefulness of the Uhlmann number as a novel tool to study topolog…

Statistics and ProbabilityPhase transitionGeneralizationFOS: Physical sciencesConductivity01 natural sciences010305 fluids & plasmasCondensed Matter - Strongly Correlated ElectronsPhase (matter)0103 physical sciencesStatistical physics010306 general physicsCondensed Matter - Statistical MechanicsPhysicstopological insulatorQuantum PhysicsChern classStatistical Mechanics (cond-mat.stat-mech)Strongly Correlated Electrons (cond-mat.str-el)Topological phase of matter phase transition geometric phase quantum transportStatistical and Nonlinear PhysicsTransverse planeTopological insulatorStatistics Probability and UncertaintyQuantum Physics (quant-ph)Sign (mathematics)
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Finitary formal topologies and Stone’s representation theorem

2008

AbstractWe study the concept of finitary formal topology, a point-free version of a topological space with a basis of compact open subsets. The notion of finitary formal topology is defined from the perspective of the Basic Picture (introduced by the second author) and thus it is endowed with a binary positivity relation. As an application, we prove a constructive version of Stone’s representation theorem for distributive lattices. We work within the framework of a minimalist foundation (as proposed by Maria Emilia Maietti and the second author). Both inductive and co-inductive methods are used in most proofs.

Stone's representationGeneral Computer ScienceRelation (database)Representation theoremFormal topologyformal topology; positivity; Stone's representation; constructive methodsPositivityBasis (universal algebra)Topological spaceStone’s representationMathematical proofConstructiveTheoretical Computer ScienceConstructive methodsAlgebraDistributive propertyFinitaryComputer Science(all)MathematicsTheoretical Computer Science
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High-pressure studies of topological insulators Bi2Se3, Bi2Te3, and Sb2Te3

2013

Bi2Se3, Bi2Te3, and Sb2Te3 are narrow bandgap semiconductors with tetradymite crystal structure (R-3m) which have been extensively studied along with their alloys due to their promising operation as thermoelectric materials in the temperature range between 300 and 500¿K. Studies on these layered semiconductors have increased tremendously in the last years since they have been recently predicted and demonstrated to behave as 3D topological insulators. In particular, a number of high-pressure studies have been done in the recent years in these materials. In this work we summarize the main results of the high-pressure studies performed in this family of semiconductors to date. In particular, w…

Structural phaseMaterials scienceCondensed matter physicsBand gapbusiness.industryTetradymiteBi2Se3engineering.materialCondensed Matter PhysicsThermoelectric materialsElectronic Optical and Magnetic MaterialsHigh pressureSemiconductorFISICA APLICADATopological insulatorHigh pressureBi2Te3engineeringTopological insulatorsbusinessSb2Te3physica status solidi (b)
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