For fixed , write and . The maximum of the integrand occurs at , and
Here is the required endpoint Laplace method derivation. Outside a fixed neighborhood of zero, the integrand is exponentially smaller than . Inside that neighborhood, use . The quadratic term gives and the higher terms vanish in the scaled limit. The Gaussian integral on the half-line is , so
This is the Hyperbolic Debye asymptotic for Legendre polynomials. At the endpoint the integrand is identically one, giving exactly.
The localization width in the Laplace method is . It becomes order one when , so the Legendre boundary layer at x equals one has . With and fixed ,
uniformly in . The boundary-layer answer is therefore
This real integral representation of the modified Bessel function I0 gives one at , agreeing with the endpoint value. Applying the same endpoint Laplace method to the integral for gives . Thus, as , the inner result is . The outer result has precisely this limit in the overlap . This proves both matches rather than extending the fixed- formula directly to .
For the derivatives, the power series suggests their leading orders. To justify differentiation, expand the original integral itself near . Its first three even cosine moments give
Odd cosine moments vanish, and higher even moments start at cubic order. Expanding at yields
For large , the graph starts at with a very large positive slope and positive curvature. It rises through the boundary layer and then follows the rapidly increasing outer asymptotic expansion. The sketch below shows both scales.
Figure 1.
Large-degree Legendre functions and their n-squared endpoint scaling
. Details.
The Laplace integral method for a differential equation seeks
Differentiating under the integral and substituting into
gives
Since , integration by parts yields
It is therefore enough to choose and so that
and the boundary term vanishes. Solving the first-order equation on gives
Take to be the interval . Although has integrable endpoint singularities,
vanishes at both endpoints, so the boundary term is zero. Thus
At , substituting gives
The normalization therefore sets . By the defining regularity and normalization of the modified Bessel function, this proves the real integral representation of the modified Bessel function I0:
A zero-mean Gaussian process need not have zero average in each realization. For the periodic covariance function, the constant Fourier component is
where is a modified Bessel function. Replacing by gives a Gaussian process with kernel . This is a positive-semidefinite kernel because it is a covariance after a linear transformation, and each sample has zero period average. The real integral representation of the modified Bessel function I0 yields the displayed constant.