32,658 research outputs found
Automated Discovery of Numerical Approximation Formulae Via Genetic Programming
This thesis describes the use of genetic programming to automate the discovery of numerical approximation formulae. Results are presented involving rediscovery of known approximations for Harmonic numbers and discovery of rational polynomial approximations for functions of one or more variables, the latter of which are compared to Padé approximations obtained through a symbolic mathematics package. For functions of a single variable, it is shown that evolved solutions can be considered superior to Padé approximations, which represent a powerful technique from numerical analysis, given certain tradeoffs between approximation cost and accuracy, while for functions of more than one variable, we are able to evolve rational polynomial approximations where no Padé approximation can be computed. Furthermore, it is shown that evolved approximations can be iteratively improved through the evolution of approximations to their error function. Based on these results, we consider genetic programming to be a powerful and effective technique for the automated discovery of numerical approximation formulae
On a class of rational matrices and interpolating polynomials related to the discrete Laplace operator
Let \dlap be the discrete Laplace operator acting on functions (or rational
matrices) , where is the two
dimensional lattice of size embedded in . Consider a rational
matrix , whose inner entries
satisfy \dlap\mathcal{H}_{ij}=0. The matrix is thus the
classical finite difference five-points approximation of the Laplace operator
in two variables. We give a constructive proof that is the
restriction to of a discrete harmonic polynomial in two
variables for any . This result proves a conjecture formulated in the
context of deterministic fixed-energy sandpile models in statistical mechanics.Comment: 18 pag, submitted to "Note di Matematica
On a class of rational matrices and interpolating polynomials related to the discrete Laplace operator
Let \dlap be the discrete Laplace operator acting on functions(or rational matrices) ,where is the two dimensional lattice of size embedded in . Consider a rational matrix , whose inner entries satisfy \dlap\mathcal{H}_{ij}=0. The matrix is thus theclassical finite difference five-points approximation of theLaplace operator in two variables. We give a constructive proofthat is the restriction to of adiscrete harmonic polynomial in two variables for any L>2. Thisresult proves a conjecture formulated in the context ofdeterministic fixed-energy sandpile models in statisticalmechanics
Representation of conformal maps by rational functions
The traditional view in numerical conformal mapping is that once the boundary
correspondence function has been found, the map and its inverse can be
evaluated by contour integrals. We propose that it is much simpler, and 10-1000
times faster, to represent the maps by rational functions computed by the AAA
algorithm. To justify this claim, first we prove a theorem establishing
root-exponential convergence of rational approximations near corners in a
conformal map, generalizing a result of D. J. Newman in 1964. This leads to the
new algorithm for approximating conformal maps of polygons. Then we turn to
smooth domains and prove a sequence of four theorems establishing that in any
conformal map of the unit circle onto a region with a long and slender part,
there must be a singularity or loss of univalence exponentially close to the
boundary, and polynomial approximations cannot be accurate unless of
exponentially high degree. This motivates the application of the new algorithm
to smooth domains, where it is again found to be highly effective
Platonic Gravitating Skyrmions
We construct globally regular gravitating Skyrmions, which possess only
discrete symmetries. In particular, we present tetrahedral and cubic Skyrmions.
The SU(2) Skyrme field is parametrized by an improved harmonic map ansatz.
Consistency then requires also a restricted ansatz for the metric. The
numerical solutions obtained within this approximation are compared to those
obtained in dilaton gravity.Comment: 13 pages, 4 figure
Symmetric Contours and Convergent Interpolation
The essence of Stahl-Gonchar-Rakhmanov theory of symmetric contours as
applied to the multipoint Pad\'e approximants is the fact that given a germ of
an algebraic function and a sequence of rational interpolants with free poles
of the germ, if there exists a contour that is "symmetric" with respect to the
interpolation scheme, does not separate the plane, and in the complement of
which the germ has a single-valued continuation with non-identically zero jump
across the contour, then the interpolants converge to that continuation in
logarithmic capacity in the complement of the contour. The existence of such a
contour is not guaranteed. In this work we do construct a class of pairs
interpolation scheme/symmetric contour with the help of hyperelliptic Riemann
surfaces (following the ideas of Nuttall \& Singh and Baratchart \& the author.
We consider rational interpolants with free poles of Cauchy transforms of
non-vanishing complex densities on such contours under mild smoothness
assumptions on the density. We utilize -extension of the
Riemann-Hilbert technique to obtain formulae of strong asymptotics for the
error of interpolation
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