3,846 research outputs found

    Cubature formulas, geometrical designs, reproducing kernels, and Markov operators

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    Cubature formulas and geometrical designs are described in terms of reproducing kernels for Hilbert spaces of functions on the one hand, and Markov operators associated to orthogonal group representations on the other hand. In this way, several known results for spheres in Euclidean spaces, involving cubature formulas for polynomial functions and spherical designs, are shown to generalize to large classes of finite measure spaces (Ω,σ)(\Omega,\sigma) and appropriate spaces of functions inside L2(Ω,σ)L^2(\Omega,\sigma). The last section points out how spherical designs are related to a class of reflection groups which are (in general dense) subgroups of orthogonal groups

    Note on cubature formulae and designs obtained from group orbits

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    In 1960, Sobolev proved that for a finite reflection group G, a G-invariant cubature formula is of degree t if and only if it is exact for all G-invariant polynomials of degree at most t. In this paper, we find some observations on invariant cubature formulas and Euclidean designs in connection with the Sobolev theorem. First, we give an alternative proof of theorems by Xu (1998) on necessary and sufficient conditions for the existence of cubature formulas with some strong symmetry. The new proof is shorter and simpler compared to the original one by Xu, and moreover gives a general interpretation of the analytically-written conditions of Xu's theorems. Second, we extend a theorem by Neumaier and Seidel (1988) on Euclidean designs to invariant Euclidean designs, and thereby classify tight Euclidean designs obtained from unions of the orbits of the corner vectors. This result generalizes a theorem of Bajnok (2007) which classifies tight Euclidean designs invariant under the Weyl group of type B to other finite reflection groups.Comment: 18 pages, no figur

    Complex spherical codes with three inner products

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    Let XX be a finite set in a complex sphere of dd dimension. Let D(X)D(X) be the set of usual inner products of two distinct vectors in XX. A set XX is called a complex spherical ss-code if the cardinality of D(X)D(X) is ss and D(X)D(X) contains an imaginary number. We would like to classify the largest possible ss-codes for given dimension dd. In this paper, we consider the problem for the case s=3s=3. Roy and Suda (2014) gave a certain upper bound for the cardinalities of 33-codes. A 33-code XX is said to be tight if XX attains the bound. We show that there exists no tight 33-code except for dimensions 11, 22. Moreover we make an algorithm to classify the largest 33-codes by considering representations of oriented graphs. By this algorithm, the largest 33-codes are classified for dimensions 11, 22, 33 with a current computer.Comment: 26 pages, no figur
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