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Generalized tight p-frames and spectral bounds for Laplace-like operators

机译:类似于Laplace算子的广义紧p帧和谱界

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摘要

We prove sharp upper bounds for sums of eigenvalues (and other spectral functionals) of Laplace-like operators, including bi-Laplacians and fractional Laplacians. We show that among linear images of a highly symmetric domain, our spectral functionals are maximal on the original domain. We exploit the symmetries of the domain, and the operator, avoiding the necessity of finding good test functions for variational problems. This is especially important for fractional Laplacians, since exact solutions are not even known on intervals, making it hard to find good test functions.
机译:我们证明了类似拉普拉斯算子(包括双拉普拉斯算子和分数阶拉普拉斯算子)的特征值(和其他谱函数)之和的尖锐上限。我们表明,在高度对称域的线性图像中,我们的频谱功能在原始域上最大。我们利用了域和运算符的对称性,从而避免了为变分问题找到良好的测试功能的必要性。这对于小数拉普拉斯算子尤其重要,因为精确的解甚至不知道在时间间隔内,因此很难找到好的测试函数。

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