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We prove a dimension-explicit upper bound for the information-complexity (also called the inverse of the discrepancy) of the classical spherical cap πΏ 2 discrepancy on the d -dimensional sphere π π . For every fixed π β ( 0 , 1 ) , this bound implies that a single point suffices in all sufficiently large dimensions, which shows a βblessing of dimensionalityβ for the associated numerical integration problem. We then introduce a one-parameter family of distance reproducing kernels for the Sobolev space π» ( π + 1 ) / 2 β‘ ( π π ) . For the balanced kernel πΎ β‘ ( π , π ) = 1 β 1 β 2 β’ β π β π β , a lower bound together with a random-point upper bound shows that the normalized information-complexity is Ξ π β‘ ( π ) for every fixed π β ( 0 , 1 ) . Thus its dependence on d is determined up to constants depending only on Ξ΅ . Finally, we study the one-sided spherical cap discrepancy obtained by restricting the height parameter to [ 0 , 1 ] . We derive its kernel and Stolarsky's invariance principle explicitly. A sharp mean-distance inequality, attained by regular simplices, determines its normalized information-complexity exactly in all sufficiently large dimensions and proves strong polynomial tractability with optimal Ξ΅ -exponent two.
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Brauchart et al. (2026) studied this question.
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