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gpt pro 5.4 attempt on Math-788

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Contents
  1. Problem 377. Is $\displaystyle f(n)=\sum_{p\le n,\ p\nmid \binom{2n}{n}}\frac1p$ bounded? --- Round 2
  2. 1) ROUND-2 OBJECTIVE
  3. 2) Round-1 FOUNDATION USED
  4. 3) NEW INSIGHT / TOOL (ROUND-2)
  5. 4) ATTACK PLAN (ROUND-2)
  6. 5) WORK (ROUND-2)
  7. Lemma 5.1 (window lemma)
  8. Proof.
  9. Theorem 5.2 (large-prime contribution is uniformly bounded)
  10. Proof.
  11. Corollary 5.3 (all possible unboundedness comes from very small primes)
  12. Proof.
  13. Special case
  14. 6) ADVERSARIAL VERIFICATION
  15. 7) FINAL
  16. 8) COMPLETION ESTIMATE (MANDATORY)
  17. 9) REFERENCES

Problem 377. Is $\displaystyle f(n)=\sum_{p\le n,\ p\nmid \binom{2n}{n}}\frac1p$ bounded? --- Round 2

1) ROUND-2 OBJECTIVE

Path (C): strict progress by proving a new theorem that localizes any possible unboundedness to arbitrarily small primes.

Round 1 recorded the average-order results of Erdős--Graham--Ruzsa--Straus and left open whether $f(n)$ is bounded. In this round I prove a new uniform upper bound for the contribution of all primes in the range $n^{1/(m+1)}<p\le n$, for every fixed $m$. In particular, primes $\sqrt{n}<p\le n$ can contribute at most $\log 2+o(1)$. So if $f(n)$ is unbounded, the entire growth must come from smaller and smaller primes.

2) Round-1 FOUNDATION USED

I use only the Round-1 Kummer reformulation: for a prime $p$, \[ p\nmid \binom{2n}{n} \] if and only if every base-$p$ digit of $n$ is at most $(p-1)/2$. No other Round-1 proof is reproved.

3) NEW INSIGHT / TOOL (ROUND-2)

The new observation is a size-digit lemma:

if \[ n^{1/(k+1)}<p\le n^{1/k} \] and $p\nmid \binom{2n}{n}$, then the base-$p$ expansion of $n$ has exactly $k+1$ digits, each at most $(p-1)/2$, hence \[ n\le \frac{p^{k+1}-1}{2}. \] This forces \[ p\ge (2n+1)^{1/(k+1)}. \] So in each dyadic-like prime window $(n^{1/(k+1)},\,n^{1/k}]$, the "good" primes can only occupy the much shorter terminal interval \[ [(2n+1)^{1/(k+1)},\,n^{1/k}]. \] Summing reciprocal primes over these terminal intervals gives a new explicit bound.

4) ATTACK PLAN (ROUND-2)

The exact gap after Round 1 was that there was no structural theorem explaining where a possible blow-up of $f(n)$ could come from.

I now prove: \[ \sum_{\substack{n^{1/(m+1)}<p\le n\\ p\nmid \binom{2n}{n}}}\frac1p \le \log(m+1)+o(1) \qquad (m \text{ fixed}). \] This will imply that any unboundedness of $f(n)$ must be caused by primes \[ p\le n^{1/(m+1)} \] for every fixed $m$, since the complementary range $n^{1/(m+1)}<p\le n$ has uniformly bounded total weight. That is a genuine narrowing of the problem.

5) WORK (ROUND-2)

Write \[ C_n:=\binom{2n}{n}. \]

Lemma 5.1 (window lemma)

Fix an integer $k\ge 1$. For each $n$, define \[ I_k(n):=\sum_{\substack{n^{1/(k+1)}<p\le n^{1/k}\\ p\nmid C_n}}\frac1p. \] Then, as $n\to\infty$ with $k$ fixed, \[ I_k(n)\le \log\!\left(\frac{k+1}{k}\right)+o(1). \]
Proof.
Let \[ n^{1/(k+1)}<p\le n^{1/k} \] and suppose $p\nmid C_n$. By Kummer's theorem, every base-$p$ digit of $n$ is at most $(p-1)/2$.

Because $p\le n^{1/k}$, we have $p^k\le n$, so the base-$p$ expansion of $n$ has at least $k+1$ digits. Because $p>n^{1/(k+1)}$, we have $p^{k+1}>n$, so the expansion has at most $k+1$ digits. Hence $n$ has exactly $k+1$ base-$p$ digits: \[ n=a_0+a_1p+\cdots + a_kp^k, \qquad 0\le a_j\le \frac{p-1}{2}. \] Therefore \[ n\le \frac{p-1}{2}\sum_{j=0}^k p^j = \frac{p-1}{2}\cdot \frac{p^{k+1}-1}{p-1} = \frac{p^{k+1}-1}{2}. \] Rearranging gives \[ p\ge (2n+1)^{1/(k+1)}. \] So every prime counted by $I_k(n)$ lies in the interval \[ (2n+1)^{1/(k+1)}\le p\le n^{1/k}. \] Hence \[ I_k(n)\le \sum_{(2n+1)^{1/(k+1)}\le p\le n^{1/k}}\frac1p. \] Now use the classical Mertens asymptotic \[ \sum_{p\le x}\frac1p=\log\log x + B_1 + o(1). \] Taking the difference at the two endpoints yields \[ I_k(n)\le \log\log(n^{1/k})-\log\log((2n+1)^{1/(k+1)})+o(1). \] Since \[ \log\log(n^{1/k})=\log\log n - \log k \] and \[ \log\log((2n+1)^{1/(k+1)}) = \log\log(2n+1)-\log(k+1), \] we obtain \[ I_k(n)\le \log\!\left(\frac{k+1}{k}\right) + \log\!\left(\frac{\log n}{\log(2n+1)}\right) +o(1) = \log\!\left(\frac{k+1}{k}\right)+o(1). \] This proves the lemma. $\square$

Theorem 5.2 (large-prime contribution is uniformly bounded)

Fix $m\ge 1$. Then \[ \sum_{\substack{n^{1/(m+1)}<p\le n\\ p\nmid C_n}}\frac1p \le \log(m+1)+o(1) \qquad (n\to\infty). \]
Proof.
For primes $p\le n$, the condition $n^{1/(m+1)}<p\le n$ partitions uniquely into the windows \[ n^{1/(k+1)}<p\le n^{1/k}, \qquad k=1,2,\dots,m. \] Therefore \[ \sum_{\substack{n^{1/(m+1)}<p\le n\\ p\nmid C_n}}\frac1p = \sum_{k=1}^m I_k(n). \] Applying Lemma 5.1 to each fixed $k$ and summing, \[ \sum_{\substack{n^{1/(m+1)}<p\le n\\ p\nmid C_n}}\frac1p \le \sum_{k=1}^m \left(\log\!\left(\frac{k+1}{k}\right)+o(1)\right). \] Because $m$ is fixed, \[ \sum_{k=1}^m o(1)=o(1), \] and the logarithms telescope: \[ \sum_{k=1}^m \log\!\left(\frac{k+1}{k}\right)=\log(m+1). \] Hence \[ \sum_{\substack{n^{1/(m+1)}<p\le n\\ p\nmid C_n}}\frac1p \le \log(m+1)+o(1). \] This proves the theorem. $\square$

Corollary 5.3 (all possible unboundedness comes from very small primes)

Assume that $f(n)$ is unbounded. Then for every fixed $m\ge 1$ there exists a sequence $n_j\to\infty$ such that \[ \sum_{\substack{p\le n_j^{1/(m+1)}\\ p\nmid C_{n_j}}}\frac1p \to \infty. \]
Proof.
By definition, \[ f(n) = \sum_{\substack{p\le n^{1/(m+1)}\\ p\nmid C_n}}\frac1p + \sum_{\substack{n^{1/(m+1)}<p\le n\\ p\nmid C_n}}\frac1p. \] The second sum is at most $\log(m+1)+o(1)$ by Theorem 5.2. So if $f(n)$ is unbounded, the first sum must be unbounded along some sequence. $\square$

Special case

Taking $m=1$ gives \[ \sum_{\substack{\sqrt{n}<p\le n\\ p\nmid C_n}}\frac1p\le \log 2+o(1). \] Thus primes in the range $\sqrt{n}<p\le n$ can never be responsible for an unbounded growth of $f(n)$.

6) ADVERSARIAL VERIFICATION

Checks on the new argument:
  • Number of digits. For $n^{1/(k+1)}<p\le n^{1/k}$, indeed $p^k\le n<p^{k+1}$, so the base-$p$ expansion has exactly $k+1$ digits. No edge case is missed.

  • Could the top digit be smaller than $(p-1)/2$ and ruin the bound? No. Replacing the top digit by the maximal allowed value only enlarges the right-hand side, so the inequality \[ n\le \frac{p^{k+1}-1}{2} \] remains valid.

  • Dependence on $m$. The theorem is for each fixed $m$. The $o(1)$ term may depend on $m$, which is harmless.

  • Does this prove boundedness of $f(n)$? No. It only proves that the contribution from primes in the range $n^{1/(m+1)}<p\le n$ is uniformly bounded for each fixed $m$. The unresolved part is the cumulative contribution of much smaller primes.

7) FINAL

UNRESOLVED (BUT STRICTLY ADVANCED).

The new theorem is: for every fixed $m\ge 1$, \[ \sum_{\substack{n^{1/(m+1)}<p\le n\\ p\nmid \binom{2n}{n}}}\frac1p \le \log(m+1)+o(1). \] In particular, \[ \sum_{\substack{\sqrt{n}<p\le n\\ p\nmid \binom{2n}{n}}}\frac1p \le \log 2+o(1). \] Therefore any possible unboundedness of $f(n)$ must come from primes \[ p\le n^{1/(m+1)} \] for every fixed $m$. This sharply localizes the remaining difficulty.

8) COMPLETION ESTIMATE (MANDATORY)

COMPLETION: 57%

9) REFERENCES

[EGRS75] P. Erdős, R. L. Graham, I. Z. Ruzsa, and E. G. Straus, On the prime factors of $\binom{2n}{n}$, Math. Comp. 29 $1975$, 83--92.

[RS62] J. B. Rosser and L. Schoenfeld, Approximate formulas for some functions of prime numbers, Illinois J. Math. 6 $1962$, 64--94.