2 research outputs found

    Distribution in coprime residue classes of polynomially-defined multiplicative functions

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    An integer-valued multiplicative function ff is said to be polynomially-defined if there is a nonconstant separable polynomial F(T)Z[T]F(T)\in \mathbb{Z}[T] with f(p)=F(p)f(p)=F(p) for all primes pp. We study the distribution in coprime residue classes of polynomially-defined multiplicative functions, establishing equidistribution results allowing a wide range of uniformity in the modulus qq. For example, we show that the values ϕ(n)\phi(n), sampled over integers nxn \le x with ϕ(n)\phi(n) coprime to qq, are asymptotically equidistributed among the coprime classes modulo qq, uniformly for moduli qq coprime to 66 that are bounded by a fixed power of logx\log{x}.Comment: edited paragraph following Theorem 1.3, correcting a claim in the discussion of condition (i

    The distribution of intermediate prime factors

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    Let P(12)(n)P^{\left(\frac 12\right)}(n) denote the middle prime factor of nn (taking into account multiplicity). More generally, one can consider, for any α(0,1)\alpha \in (0,1), the α\alpha-positioned prime factor of nn, P(α)(n)P^{(\alpha)}(n). It has previously been shown that loglogP(α)(n)\log \log P^{(\alpha)}(n) has normal order αloglogx\alpha \log \log x, and its values follow a Gaussian distribution around this value. We extend this work by obtaining an asymptotic formula for the count of nxn\leq x for which P(α)(n)=pP^{(\alpha)}(n)=p, for primes pp in a wide range up to xx. We give several applications of these results, including an exploration of the geometric mean of the middle prime factors, for which we find that 1x1<nxlogP(12)(n)A(logx)φ1\frac 1x \sum_{1<n \le x} \log P^{\left(\frac 12 \right)}(n) \sim A(\log x)^{\varphi-1}, where φ\varphi is the golden ratio, and AA is an explicit constant. Along the way, we obtain an extension of Lichtman's recent work on the ``dissected'' Mertens' theorem sums P+(n)yΩ(n)=k1n\sum_{\substack{P^+(n) \le y \\ \Omega(n)=k}} \frac{1}{n} for large values of kk
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