Let be positive operators on a finite-dimensional Hilbert space, with every nonzero eigenvalue at least . Let be the orthogonal projections onto and define . Then
When the kernels have no common nonzero vector, this gives a positive lower bound. The projection formula also covers a zero kernel without taking a supremum over an empty unit sphere.
Indeed, and . For , , . The map consequently has squared operator norm at most , so . Combining these inequalities proves the result. With common kernel , restrict to and use the kernel projections there to bound the positive spectral gap.
In infinite dimension, replace the eigenvalue condition by the actual operator inequalities and . An assertion only about eigenvalues can be vacuous in the presence of continuous spectrum, and does not ensure this uniform gap.

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