Results 111 to 120 of about 10,331,496 (319)
Hardy-Littlewood theorem for series with general monotone coefficients
Қарағанды университетінің хабаршысы. Математика сериясы, 2018 In this work we study trigonometric series with general monotone coefficients. Also, we consider Lqϕ ( Lq ) space. In particular, when ϕ ( t ) ≡ 1 the space Lqϕ ( Lq ) coincides with Lq .
S. Bitimkhan
doaj +1 more source
New definitions of exponential, hyperbolic and trigonometric functions on time scales
, 2010 We propose two new definitions of the exponential function on time scales. The first definition is based on the Cayley transformation while the second one is a natural extension of exact discretizations.
Cieslinski, Jan L.
core
Particle &Particle Systems Characterization, EarlyView.The atomic arrangement of few‐nm‐wide surfactant‐free noble metal (AuAg) decahedral nanoparticles is characterized using a structural refinement based on Pair Distribution Function (PDF) derived from Precession Electron Diffraction (PED). The results indicate that the measured structure is not well described by the classical Bagley body‐centered ...
Leonardo M. Corrêa +3 more
wiley +1 more source
physica status solidi (RRL) – Rapid Research Letters, EarlyView.The polarization change of an arbitrarily polarized wave in an optically anisotropic medium is discussed, focusing on cases where the refractive index, the extinction coefficient, and the two eigenmodes are degenerated. The polarization converges to that of the eigenmode with the lowest extinction coefficient, except when the extinction coefficients ...
Chris Sturm, Marius Grundmann
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Some problems of diophantine approximation: Part II. The trigonometrical series associated with the elliptic ϑ-functions [PDF]
, 1914 G. H. Hardy, J. E. Littlewood
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On the Closure of Certain Assemblages of Trigonometrical Functions [PDF]
, 1927 Norbert Wiener
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Statistical Complexity of Quantum Learning
Advanced Quantum Technologies, EarlyView.The statistical performance of quantum learning is investigated as a function of the number of training data N$N$, and of the number of copies available for each quantum state in the training and testing data sets, respectively S$S$ and V$V$. Indeed, the biggest difference in quantum learning comes from the destructive nature of quantum measurements ...
Leonardo Banchi +3 more
wiley +1 more source
Trigonometric Functions at a Crossroads
Applied Physics Research, 2017 In the history of physics trigonometric functions played several times a very critical role at crossroads. This time we are at a crossroads with the interpretation of correlation events of entangled particles. In this approach we propose to describe the experimental data of Alice and Bob using not so known trigonometric functions.
openaire +2 more sources
Dynamic Continuous Variable Quantum Key Distribution for Securing a Future Global Quantum Network
Advanced Quantum Technologies, EarlyView.The article explores securing a dynamic global quantum network using continuous variable QKD, proposing a unified three‐layer network architecture for integrating existing QKD networks. It evaluates secret key rates across various channels and introduces the link capacity as a metric for determining the optimum path for secret key distribution in a ...
Mikhael T. Sayat +4 more
wiley +1 more source
A universal formulation for conic trajectories. Basic variables and relationships [PDF]
Truncated trigonometric functions for conic trajectory formulation in space flight ...
Brooks, J. E., Lemmon, W. W.
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