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Scale-uniform inverse inequalities for scaled kernel spaces
Inverse inequalities are an important tool in the stability and convergence analysis of kernel approximation methods. In a multiscale setting, however, the trial space changes with the kernel scale $δ$, and inverse estimates for a fixed kernel are not sufficient. The constants must remain controlled
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