Construction of the pair-correlation kernel #
The cutoff construction packages the unweighted pair sum, proves that the normalized cutoff is admissible, and develops the analytic identities needed to apply pair correlation.
The second derivative of the self-convolution has compact support.
The second derivative of the self-convolution is integrable.
The complex-frequency Fourier transform of the second derivative has the expected quadratic multiplier.
Fourier transform of the corrected pair-correlation test function.
At a rescaled pair of zeros, the correction factor cancels the unconditional pair-correlation weight.
The second derivative of the self-convolution is an admissible pair-correlation test function.
The unweighted kernel sum is the difference of the two pair-correlation sums supplied by the corrected test function, expanded linearly.
The quantitative pair-correlation hypothesis implies convergence to its stated main term.
The normalized unweighted cutoff-kernel sum converges to the pair-correlation functional of
the self-convolution. The second-derivative correction vanishes because of its log T squared
denominator.
Removing the cutoff #
The last step of the construction. We choose a
cutoff at scale 1 / (n + 5), use dominated convergence first for its normalising constant and
then for the two convolution integrals, and finally pass to the pair-correlation functional.
The cutoff constants converge to the Montgomery--Taylor constant
(lem_C_delta_limit).
Kernel construction (lem_kernel_construction). The cutoff test is admissible, its
pair-correlation constant is arbitrarily close to the Montgomery--Taylor constant, and the
normalized unweighted kernel sum converges to that constant.