GPT 6 Astra Ultra attempt on Math-5825
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Contents
Erdős Problem 694: ratios of extreme inverse totients
Statement and claim.
For $n$ in the image of Euler's totient function, let $f_{\min}(n)$ and $f_{\max}(n)$ be its smallest and largest preimages, and set \[ R(x)=\max_{\substack{n\leq x\\n\in\phi(\mathbb N)}} \frac{f_{\max}(n)}{f_{\min}(n)}. \] Then \[ R(x)=(e^\gamma+o(1))\log\log x. \] The lower construction is attributed on the problem page to GPT-5.5 Pro prompted by Liam Price; Thomas Bloom gives a concise proof in the primary discussion: https://www.erdosproblems.com/forum/thread/694. We reconstruct the details, rather than claim a new discovery. The external analytic inputs are Mertens' prime-product theorem, the prime number theorem, and Linnik's theorem.A uniform upper bound.
If $m=\prod p^a$, then \[ \frac{\phi(m)^2}{m}=\prod_{p^a\parallel m}p^{a-2}(p-1)^2 \geq\frac12. \] Every odd-prime factor on the right is at least one, and the factor for $2$, if present, is at least $1/2$. Consequently $\phi(m)=n$ implies $m\leq2n^2$. In particular the extreme preimages exist and are finite.Put $Y=\log(2x^2)$. Uniformly for $m\leq2x^2$, separate the prime factors of $m$ at $Y$. There are at most $\log(2x^2)/\log Y$ distinct prime factors exceeding $Y$, so \[ \prod_{\substack{p\mid m\\p>Y}}(1-1/p)^{-1} \leq\exp\left(\frac{2\log(2x^2)}{Y\log Y}\right)=1+o(1). \] Mertens' theorem handles the smaller primes: \[ \frac m{\phi(m)} \leq(1+o(1))\prod_{p\leq Y}(1-1/p)^{-1} =(e^\gamma+o(1))\log Y =(e^\gamma+o(1))\log\log x. \] For $a=f_{\min}(n)$, $b=f_{\max}(n)$, use \[ \frac ba=\frac b{\phi(b)}\frac{\phi(a)}a \leq\frac b{\phi(b)} \] to obtain the required upper bound.