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Olof Svensson

Publications and source records attributed to Olof Svensson.

4 recordsLinked to original sources

A New Littlewood-Type Theorem for Bounded Holomorphic Functions in the Unit Disc

We prove a new theorem of Littlewood type for bounded holomorphic functions in the unit disc, i.e., we show that these functions do not all admit almost everywhere boundary values along certain systems of tangential approach regions. The novelty of our theorem, in comparison with the previously known results of this kind, is that it also applies to tangential approach regions that are sequential. Indeed, while in the previous results of this kind, the tangential approach regions were required to be curvilinear (Littlewood 1927), (Aikawa 1990), or at least to possess a certain topological property that excludes the possibility that they may be sequential (Di Biase Stokolos Svensson Weiss 2006), our result is the first of this type that also applies to tangential approach regions that are sequential. In order to achieve our result, we have identified a new class of approach regions, called projectively adjacent, that is not defined in topological terms and not depend on their continuous or discrete nature. Indeed, this class is so broad that it contains sequential approach regions and curvilinear ones, as well. Our result can be better appreciated if we recall that Nagel and Stein (1984), elaborating results of Rudin (1979) and Nagel, Rudin and Shapiro (1982), proved the existence of translation invariant systems of tangential and sequential approach regions in the higher-dimensional Euclidean half-spaces along which all bounded holomorphic functions in the unit disc converge a.e. to their nontangential boundary values.

math.CA

Terahertz Frequency-Domain Sensing Combined with Quantitative Multivariate Analysis for Pharmaceutical Tablet Inspection

Near infrared (NIR) and Raman spectroscopy combined with multivariate analysis are established techniques for the identification and quantification of chemical properties of pharmaceutical tablets like the concentration of active pharmaceutical ingredients (API). However, these techniques suffer from a high sensitivity to particle size variations and are not ideal for the characterization of physical properties of tablets such as tablet density. In this work, we have explored the feasibility of terahertz frequency-domain spectroscopy, with the advantage of low scattering effects, combined with multivariate analysis to quantify API concentration and tablet density. We studied 33 tablets, consisting of Ibuprofen, Mannitol, and a lubricant with API concentration and filler particle size as the design factors. The terahertz signal was measured in transmission mode across the frequency range 750 GHz to 1.5 THz using a vector network analyzer, frequency extenders, horn antennas, and four off-axis parabolic mirrors. The attenuation spectral data were pre-processed and orthogonal partial least square (OPLS) regression was applied to the spectral data to obtain quantitative prediction models for API concentration and tablet density. The performance of the models was assessed using test sets. While a fair model was obtained for API concentration, a high-quality model was demonstrated for tablet density. The coefficient of determination for the calibration set was 0.97 for tablet density and 0.98 for API concentration, while the relative prediction errors for the test set were 0.7% and 6%for tablet density and API concentration models, respectively.

physics.app-ph

Damped second order flow applied to image denoising

In this paper, we introduce a new image denoising model: the damped flow (DF), which is a second order nonlinear evolution equation associated with a class of energy functionals of image. The existence, uniqueness and regularization property of DF are proven. For the numerical implementation, based on the Störmer-Verlet method, a discrete damped flow, SV-DDF, is developed. The convergence of SV-DDF is studied as well. Several numerical experiments, as well as a comparison with other methods, are provided to demonstrate the feasibility and effectiveness of the SV-DDF.

math.NA