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arXiv 1202.4443math.FAcs.NAmath.NA
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通过积分再生核的表示

Representation by Integrating Reproducing Kernels

Georgia Augusta University of Goettingen(哥廷根乔治-奥古斯特大学)

Thomas Hotz, Fabian J. E. Telschow

AI总结:

本文基于直接积分,发展了一个框架来积分参数化的再生核族,通过逐点积分得到新的再生核,其对应的Hilbert空间是各Hilbert空间直接积分在求和算子下的像,推广了有限和再生核的结果,并涵盖了Mercer核、积分变换生成核、正定函数混合及径向基函数尺度混合等特例,为Kramer采样定理等已知结果提供了新视角,并建立了测量与积分变换之间的联系。

摘要:

基于直接积分,发展了一个框架,允许对参数空间上关于某个测度的参数化再生核族进行积分。通过逐点积分,再次得到一个再生核,其对应的Hilbert空间被给出为各个Hilbert空间的直接积分在求和算子下的像。这推广了再生核有限和的众所周知的结果;然而,更多的特例被包含在此方法下:通过级数展开得到的所谓Mercer核;由积分变换生成的核;正定函数的混合;特别是径向基函数的尺度混合。这为已知结果打开了新的视野,例如推广了Kramer采样定理;它还在测量和积分变换之间提供了有趣的联系,例如允许在某些逆问题中应用表示定理,或者在观察积分变换下的原像时,限制像域中的逐点误差。

英文摘要:

Based on direct integrals, a framework allowing to integrate a parametrised family of reproducing kernels with respect to some measure on the parameter space is developed. By pointwise integration, one obtains again a reproducing kernel whose corresponding Hilbert space is given as the image of the direct integral of the individual Hilbert spaces under the summation operator. This generalises the well-known results for finite sums of reproducing kernels; however, many more special cases are subsumed under this approach: so-called Mercer kernels obtained through series expansions; kernels generated by integral transforms; mixtures of positive definite functions; and in particular scale-mixtures of radial basis functions. This opens new vistas into known results, e.g. generalising the Kramer sampling theorem; it also offers interesting connections between measurements and integral transforms, e.g. allowing to apply the representer theorem in certain inverse problems, or bounding the pointwise error in the image domain when observing the pre-image under an integral transform.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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