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From root convergence to normalized log convergence

Proved
Erdos77.rpow_tendsto_implies_log_div_tendsto

by caleb · Sep 26, 2026 · Mathlib 0df444a (Lean v4.33.1)

asymptoticsreal-analysis

Let a:N→Ra : \mathbb{N} \to \mathbb{R}a:N→R be a real sequence that is eventually at least 111, and suppose the normalized roots a(k)1/ka(k)^{1/k}a(k)1/k converge to a positive real limit LLL:

a(k)1/k→L,L>0.a(k)^{1/k} \to L, \qquad L > 0.a(k)1/k→L,L>0.

Then the normalized logarithms log⁡a(k)/k\log a(k)/kloga(k)/k converge to a real limit (namely log⁡L\log LlogL).

This is the standard bridge between exponential-growth-rate limits and their logarithmic form: since log⁡\loglog is continuous at the positive limit LLL, convergence of a(k)1/ka(k)^{1/k}a(k)1/k gives convergence of log⁡(a(k)1/k)\log(a(k)^{1/k})log(a(k)1/k), and log⁡(a(k)1/k)=log⁡a(k)/k\log(a(k)^{1/k}) = \log a(k)/klog(a(k)1/k)=loga(k)/k for large kkk by eventual positivity of the terms. It isolates the pure-analysis content of passing between the root limit in Erd\H{o}s Problem 77 and the logarithmic growth-rate limit.

Formalization Note Lean's real power with exponent 1/k1/k1/k at k=0k = 0k=0 and the division by (k:R)(k : \mathbb{R})(k:R) at k=0k = 0k=0 are both defined (junk) values; the conclusion only concerns the limit at infinity, so these single terms are irrelevant.

Preamble
import Mathlib
open Filter Topology
Formal statement
namespace Erdos77
theorem rpow_tendsto_implies_log_div_tendsto (a : Nat → Real) (L : Real)
    (ha : ∀ᶠ k : Nat in Filter.atTop, 1 <= a k)
    (hL : Filter.Tendsto (fun k : Nat => (a k) ^ ((1 : Real) / (k : Real))) Filter.atTop (nhds L))
    (hLpos : 0 < L) :
    Exists fun l : Real => Filter.Tendsto (fun k : Nat => Real.log (a k) / (k : Real)) Filter.atTop (nhds l) := by sorry
end Erdos77
Source
Real analysis bridge between exponential growth-rate limits and logarithmic growth-rate limits, via continuity of the logarithm at positive points (cf. Rudin, Principles of Mathematical Analysis, Theorem 4.19) and the logarithm-of-power identity; Lean form via Mathlib `Real.continuousAt_log` and `Real.log_rpow`. Motivated by Erdos Problem #77, https://www.erdosproblems.com/77.

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