Search results for "integral"

showing 10 items of 902 documents

Path Integral Formulation of Quantum Electrodynamics

2020

Let us consider a pure Abelian gauge theory given by the Lagrangian $$\displaystyle\begin{array}{rcl} \mathcal{L}_{\text{photon}}& =& -\frac{1} {4}F_{\mu \nu }F^{\mu \nu } \\ & =& -\frac{1} {4}\left (\partial _{\mu }A_{\nu } - \partial _{\nu }A_{\mu }\right )\left (\partial ^{\mu }A^{\nu } - \partial ^{\nu }A^{\mu }\right ){}\end{array}$$ (36.1) or, after integration by parts, $$\displaystyle\begin{array}{rcl} \mathcal{L}_{\text{photon}}& =& -\frac{1} {2}\left [-\left (\partial _{\mu }\partial ^{\mu }A_{\nu }\right )A^{\nu } + \left (\partial ^{\mu }\partial ^{\nu }A_{\mu }\right )A_{\nu }\right ] \\ & =& \frac{1} {2}A_{\mu }\left [g^{\mu \nu }\square - \partial ^{\mu }\partial ^{\nu }\righ…

Physicssymbols.namesakeQuantum electrodynamicsPath integral formulationZero (complex analysis)symbolsInverseAbelian groupLagrangian
researchProduct

The Action Principles in Mechanics

2001

We begin this chapter with the definition of the action functional as time integral over the Lagrangian \(L(q_{i}(t),\dot{q}_{i}(t);t)\) of a dynamical system: $$\displaystyle{ S\left \{[q_{i}(t)];t_{1},t_{2}\right \} =\int _{ t_{1}}^{t_{2} }dt\,L(q_{i}(t),\dot{q}_{i}(t);t)\;. }$$

Physicssymbols.namesakeTerminal timesymbolsTime integralConfiguration spaceDynamical system (definition)Action (physics)LagrangianMathematical physics
researchProduct

Quantitative approximation of certain stochastic integrals

2002

We approximate certain stochastic integrals, typically appearing in Stochastic Finance, by stochastic integrals over integrands, which are path-wise constant within deterministic, but not necessarily equidistant, time intervals. We ask for rates of convergence if the approximation error is considered in L 2 . In particular, we show that by using non-equidistant time nets, in contrast to equidistant time nets, approximation rates can be improved considerably.

Physics::Computational PhysicsMeasurable functionRate of convergenceApproximation errorPath integral formulationMathematical analysisEquidistantStochastic approximationConstant (mathematics)Brownian motionMathematicsStochastics and Stochastic Reports
researchProduct

Conductivity imaging with interior potential measurements

2011

In this article, we present two reconstruction methods intended to be used for conductivity imaging with data obtained from a planar electrical impedance tomography device for breast cancer detection. The inverse problem to solve is different from the classical inverse conductivity problem. We reconstruct the electrical conductivity of a two-dimensional domain from boundary measurements of currents and interior measurements of the potential. One reconstruction algorithm is based on a discrete resistor model; the other one is an integral equation approach for smooth conductivity distributions.

PlanarApplied MathematicsMathematical analysisGeneral EngineeringInverseBoundary (topology)Reconstruction algorithmInverse problemConductivityElectrical impedance tomographyIntegral equationComputer Science ApplicationsMathematicsInverse Problems in Science and Engineering
researchProduct

Evaluation of Deflection of a Plate using Line Integrals

2014

PlateLine integralCivil-Comp Proceedings
researchProduct

Lightfield microscopy, an emerging tool for real-time 3D imaging

2020

Integral, or lightfield, microscopy offers the possibility of capturing and processing in real time multiple views of 3D fluorescent samples captured with a single shot. In this contribution we review the recent advances in lightfield microscopy and enunciate the forthcoming challenges.

Point spread functionComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSingle shotIntegral photographyGeneralLiterature_MISCELLANEOUSlaw.inventionOpticsConfocal microscopylawMicroscopybusinessMultiple viewImaging and Applied Optics Congress
researchProduct

Resolution enhancement in integral microscopy by physical interpolation

2015

Integral-imaging technology has demonstrated its capability for computing depth images from the microimages recorded after a single shot. This capability has been shown in macroscopic imaging and also in microscopy. Despite the possibility of refocusing different planes from one snap-shot is crucial for the study of some biological processes, the main drawback in integral imaging is the substantial reduction of the spatial resolution. In this contribution we report a technique, which permits to increase the two-dimensional spatial resolution of the computed depth images in integral microscopy by a factor of √2. This is made by a double-shot approach, carried out by means of a rotating glass…

Point spread functionIntegral imagingComputer sciencebusiness.industryResolution (electron density)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingcomputer.software_genreArticleAtomic and Molecular Physics and OpticsBiological specimenOpticsMicroscopyData miningbusinesscomputerImage resolutionBiotechnologyInterpolationBiomedical Optics Express
researchProduct

The ATHENA X-ray Integral Field Unit (X-IFU)

2018

Event: SPIE Astronomical Telescopes + Instrumentation, 2018, Austin, Texas, United States.

Point spread functionPhotonAstrophysics::High Energy Astrophysical PhenomenaField of viewAthena; Instrumentation; Space telescopes; X-ray Integral Field Unit; X-ray spectroscopy; Electronic Optical and Magnetic Materials; Condensed Matter Physics; Computer Science Applications1707 Computer Vision and Pattern Recognition; Applied Mathematics; Electrical and Electronic EngineeringCondensed Matter PhysicLarge format01 natural sciences7. Clean energySpace telescopeslaw.inventionTelescopePhysics::Popular PhysicsSettore FIS/05 - Astronomia E AstrofisicaOpticslawPhysics::Plasma Physics0103 physical sciencesElectronicAthenaOptical and Magnetic MaterialsSpectral resolutionElectrical and Electronic Engineering010306 general physics010303 astronomy & astrophysicsInstrumentationPhysicsSpectrometerbusiness.industryElectronic Optical and Magnetic MaterialApplied MathematicsDetectorAstrophysics::Instrumentation and Methods for AstrophysicsComputer Science Applications1707 Computer Vision and Pattern RecognitionCondensed Matter Physics115 Astronomy Space sciencePhysics::History of PhysicsApplied MathematicSpace telescopeX-ray Integral Field UnitX-ray spectroscopybusiness
researchProduct

Regularity properties for quasiminimizers of a $(p,q)$-Dirichlet integral

2021

Using a variational approach we study interior regularity for quasiminimizers of a $(p,q)$-Dirichlet integral, as well as regularity results up to the boundary, in the setting of a metric space equipped with a doubling measure and supporting a Poincar\'{e} inequality. For the interior regularity, we use De Giorgi type conditions to show that quasiminimizers are locally H\"{o}lder continuous and they satisfy Harnack inequality, the strong maximum principle, and Liouville's Theorem. Furthermore, we give a pointwise estimate near a boundary point, as well as a sufficient condition for H\"older continuity and a Wiener type regularity condition for continuity up to the boundary. Finally, we cons…

PointwiseApplied MathematicsMathematical analysisPoincaré inequalityBoundary (topology)Hölder conditionMetric Geometry (math.MG)Functional Analysis (math.FA)Dirichlet integralMathematics - Functional Analysissymbols.namesakeMetric spaceMaximum principleMathematics - Analysis of PDEsMathematics - Metric GeometrySettore MAT/05 - Analisi MatematicasymbolsFOS: Mathematics(p q)-Laplace operator Measure metric spaces Minimal p-weak upper gradient Minimizer31E05 30L99 46E35AnalysisHarnack's inequalityMathematicsAnalysis of PDEs (math.AP)
researchProduct

Ship Roll Motion under Stochastic Agencies Using Path Integral Method

2009

The response of ship roll oscillation under random ice impulsive loads modeled by Poisson arrival process is very important in studying the safety of ships navigation in cold regions. Under both external and parametric random excitations the evolution of the probability density function of roll motion is evaluated using the path integral (PI) approach. The PI method relies on the Chapman-Kolmogorov equation, which governs the response transition probability density functions at two close intervals of time. Once the response probability density function at an early close time is specified, its value at later close time can be evaluated. The PI method is first demonstrated via simple dynamica…

Poisson arrival proceRoll oscillationOscillationDynamics (mechanics)Motion (geometry)Probability density functionPath integral methodWhite noiseWhite noise excitationResponse amplitude operatorRandom excitationControl theoryShip roll motionTransition probabilitiePath integral formulationChapman-Kolmogorov equationMathematicsParametric statistics
researchProduct