2,682 research outputs found
Radon numbers grow linearly
Define the -th Radon number of a convexity space as the smallest
number (if it exists) for which any set of points can be partitioned into
parts whose convex hulls intersect. Combining the recent abstract
fractional Helly theorem of Holmsen and Lee with earlier methods of Bukh, we
prove that grows linearly, i.e., .Comment: Comments are welcome at:
https://wordpress.com/post/domotorp.wordpress.com/76
Radon Numbers Grow Linearly
Define the k-th Radon number r_k of a convexity space as the smallest number (if it exists) for which any set of r_k points can be partitioned into k parts whose convex hulls intersect. Combining the recent abstract fractional Helly theorem of Holmsen and Lee with earlier methods of Bukh, we prove that r_k grows linearly, i.e., r_k ? c(r?)? k
OPED reconstruction algorithm for limited angle problem
The structure of the reconstruction algorithm OPED permits a natural way to
generate additional data, while still preserving the essential feature of the
algorithm. This provides a method for image reconstruction for limited angel
problems. In stead of completing the set of data, the set of discrete sine
transforms of the data is completed. This is achieved by solving systems of
linear equations that have, upon choosing appropriate parameters, positive
definite coefficient matrices. Numerical examples are presented.Comment: 17 page
Macroscopic limit of a bipartite Curie-Weiss model: a dynamical approach
We analyze the Glauber dynamics for a bi-populated Curie-Weiss model. We
obtain the limiting behavior of the empirical averages in the limit of
infinitely many particles. We then characterize the phase space of the model in
absence of magnetic field and we show that several phase transitions in the
inter-groups interaction strength occur.Comment: 18 pages, 3 figure
Asymptotic Hyperfunctions, Tempered Hyperfunctions, and Asymptotic Expansions
We introduce new subclasses of Fourier hyperfunctions of mixed type,
satisfying polynomial growth conditions at infinity, and develop their sheaf
and duality theory. We use Fourier transformation and duality to examine
relations of these 'asymptotic' and 'tempered' hyperfunctions to known classes
of test functions and distributions, especially the Gelfand-Shilov-Spaces.
Further it is shown that the asymptotic hyperfunctions, which decay faster than
any negative power, are precisely the class that allow asymptotic expansions at
infinity. These asymptotic expansions are carried over to the
higher-dimensional case by applying the Radon transformation for
hyperfunctions.Comment: 31 pages, 1 figure, typos corrected, references adde
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