LaplaceFactorial #
Definitions #
Private lemmas #
Theorem 2.7: Concavity of φ_n #
φ_n''(r) = −(2n+1)/r² − 2 ≤ −2 for r > 0.
In particular, φ_n is strictly concave on (0, ∞).
Theorem 2.8: Quadratic upper bound #
φ_n(r) ≤ φ_n(r_n) − (r − r_n)² for all n ≥ 1, r > 0.
Proof: Define h(r) = φ_n(r) + (r − r_n)². Then h'(r) = (2n+1)/r − 2r_n,
which is strictly decreasing and vanishes at r_n. By concavity of h,
h(r) ≤ h(r_n) = φ_n(r_n) for all r > 0.
Theorem 2.9: Factorial upper bound on exp(φ_n(r_n)) #
exp(φ_n(r_n)) ≤ exp(1/4) * n! / 2 for all n ≥ 1.
Proof (via Stirling's lower bound):
We show φ_n(r_n) ≤ log(n!) − log 2 + 1/4 by combining:
φ_n(r_n) = (n+1/2) log(n+1/2) − (n+1/2) ≤ n log n + (1/2) log n − n + 1/4(usinglog(1+x) ≤ xandn ≥ 1)- Stirling:
n log n − n + (1/2) log n + (1/2) log(2π) ≤ log(n!) (1/2) log(2π) ≥ log 2(sinceπ ≥ 2)
Corollary 2.10: Monomial integral upper bound #
For n ≥ 1 and integer j ≥ 0:
∫_j^{j+1} r^{2n+1} exp(−r²) dr ≤ (exp(1/4) * n!/2) * exp(−dist(r_n, [j, j+1])²)
where dist(r_n, [j, j+1]) = max(j − r_n, r_n − (j+1), 0).
Proof: By Theorem 2.8: r^{2n+1} exp(−r²) = exp(φ_n(r)) ≤ exp(φ_n(r_n)) exp(−(r−r_n)²).
For r ∈ [j, j+1]: |r − r_n| ≥ dist(r_n, [j,j+1]), so exp(−(r−r_n)²) ≤ exp(−dist(…)²).
Integrating over an interval of length 1 and applying Theorem 2.9.