Math-5791 · mathematics · Mathematics

Math-5791

Erdős Problem #648

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Statement

Write $P(a)$ for the greatest prime factor of $a\geq2$. Let $g(n)$ be the largest length of a sequence \[ 2\leq a_1<\cdots<a_t<n,\qquad P(a_1)>\cdots>P(a_t). \] We reconstruct Cambie's determination of the order of magnitude: \[ (2-o(1))\sqrt{\frac n{\log n}} \ \leq g(n)\ \leq\ (2\sqrt2+o(1))\sqrt{\frac n{\log n}}. \] The source is Stijn Cambie, On Erdős problem #648, https://arxiv.org/abs/2503.22691; see also https://www.erdosproblems.com/648. The only asymptotic input below is the prime number theorem. The existence or value of a limiting leading constant is not asserted.

Restatement from Math-5791-A1 r1, with the source manuscript’s qualifications.

Original problem on erdosproblems.com

Statement licence: CC-BY-4.0 · Source file

Contributions 1

Math-5791-A1 · No claim recorded · LLM-generated · gpt 6 astra ultra ·

GPT 6 Astra Ultra attempt on Math-5791

Erdős Problem 648: decreasing greatest prime factors

Statement and claim.
Write $P(a)$ for the greatest prime factor of $a\geq2$. Let $g(n)$ be the largest length of a sequence \[ 2\leq a_1<\cdots<a_t<n,\qquad P(a_1)>\cdots>P(a_t). \] We reconstruct Cambie's determination of the order of magnitude: \[ (2-o(1))\sqrt{\frac n{\log n}} \ \leq g(n)\ \leq\ (2\sqrt2+o(1))\sqrt{\frac n{\log n}}. \] The source is Stijn Cambie, On Erdős problem #648, https://arxiv.org/abs/2503.22691; see also https://www.erdosproblems.com/648. The only asymptotic input below is the prime number theorem. The existence or value of a limiting leading constant is not asserted.
Upper bound.
Put $p_i=P(a_i)$ and $b_i=a_i/p_i$. Since $a_{i+1}>a_i$ and $p_{i+1}<p_i$, we have $b_{i+1}>b_i$. These are positive integers, so $b_i\geq i$. If $q_j$ is the $j$-th prime, then the $t-i+1$ distinct primes $p_i,\ldots,p_t$ show that $p_i\geq q_{t-i+1}$. Therefore \[ n>a_i=b_ip_i\geq i q_{t-i+1}. \] Taking $i=\lfloor t/2\rfloor$, and using $q_j\sim j\log j$, gives \[ n\geq(1-o(1))\frac{t^2\log t}{4}. \] The lower bound proved next shows that the extremal $t=g(n)$ is at least a constant times $\sqrt{n/\log n}$. The displayed upper bound then implies $\log t=(\tfrac12+o(1))\log n$, and hence the claimed upper constant $2\sqrt2$.
Lower bound.
Fix $0<\varepsilon<1$, and put $z=(1-\varepsilon)\sqrt{n\log n}$. List all primes in $(\sqrt n,z]$ in decreasing order as $p_1>\cdots>p_r$. Starting with $a_0=0$, define \[ a_i=p_i\left(\left\lfloor\frac{a_{i-1}}{p_i}\right\rfloor+1\right). \] Then $a_i>a_{i-1}$ and \[ a_i\leq\sum_{j=1}^i p_j\leq\sum_{p\leq z}p \sim\frac{z^2}{2\log z} \sim(1-\varepsilon)^2n<n. \] Here the prime-sum estimate follows from the prime number theorem by partial summation. Since $p_i>\sqrt n$ and $a_i<n$, the cofactor $a_i/p_i$ is smaller than $\sqrt n<p_i$. All its prime factors are therefore smaller than $p_i$, proving $P(a_i)=p_i$. Finally, \[ r=\pi(z)-\pi(\sqrt n) =(2(1-\varepsilon)+o(1))\sqrt{\frac n{\log n}}. \] Letting $\varepsilon$ tend to zero gives the lower bound.
Scope.
This proves the known order-of-magnitude resolution, including the two displayed asymptotic constants, rather than an exact formula for $g(n)$. It is an attributed reconstruction, not a new resolution.
Completion estimate.
COMPLETION: 100%

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