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This chapter begins with elementary results concerning Euclidean division and the Euclidean algorithm. We show that the algorithm’s complexity, measured in division steps, has logarithmic growth.
Gently introducing the reader to analytic methods in number theory, we present a proof of the divergence of the Euler series that sums the reciprocals of prime numbers. This not only provides an elegant analytic proof of the infinitude of primes but also offers insight into their distribution.
We then turn to classical arithmetic functions and derive recursive formulas for the partition function, culminating in a complete proof of Euler’s pentagonal number theorem.
This chapter also includes the first of three proofs in this book of Gauss’s theorema fundamentale, the law of quadratic reciprocity, which reveals a remarkable symmetry in the solvability of quadratic congruences modulo two distinct odd primes.
These theoretical foundations underpin practical applications, including the Miller–Rabin primality test – a probabilistic method for identifying prime numbers – and RSA encryption, a cornerstone of modern cryptography that relies on the computational difficulty of factoring large integers.
Let E be an elliptic curve over the finite field $\mathbb {F}_p$, and $P \in E(\mathbb {F}_p)$ be an ${\mathbb F}_p$-rational point. We obtain nontrivial estimates for multiplicative character sums associated with the division polynomials $\psi _n(P)$ twisted by several multiplicative functions, where $\psi _n(P)$ denotes the nth division polynomial evaluated at P.
Martin, Mossinghoff, and Trudgian [19] recently introduced a family of arithmetic functions called “fake $\mu $’s,” which are multiplicative functions for which there is a $\{-1,0,1\}$-valued sequence $(\varepsilon _j)_{j=1}^{\infty }$ such that $f(p^j) = \varepsilon _j$ for all primes p. They investigated comparative number-theoretic results for fake $\mu $’s and, in particular, proved oscillation results at scale $\sqrt {x}$ for the summatory functions of fake $\mu $’s with $\varepsilon _1=-1$ and $\varepsilon _2=1$. In this article, we establish new oscillation results for the summatory functions of all nontrivial fake $\mu $’s at scales $x^{1/2\ell }$ where $\ell $ is a positive integer (the “critical index”) depending on f; for $\ell =1$ this recovers the oscillation results in [19]. Our work also recovers results on the indicator functions of powerfree and powerfull numbers; we generalize techniques applied to each of these examples to extend to all fake $\mu $’s.
For any positive integer n, let $\sigma (n)$ be the sum of all positive divisors of n. We prove that for every integer k with $1\leq k\leq 29$ and $(k,30)=1,$
for all $K\in \mathbb {N},$ which gives a positive answer to a problem posed by Pongsriiam [‘Sums of divisors on arithmetic progressions’, Period. Math. Hungar. 88 (2024), 443–460].
We prove an asymptotic formula for the sum $\sum _{n\leq N}d(n^{2}-1)$, where $d(n)$ denotes the number of divisors of $n$. During the course of our proof, we also furnish an asymptotic formula for the sum $\sum _{d\leq N}g(d)$, where $g(d)$ denotes the number of solutions $x$ in $\mathbb{Z}_{d}$ to the equation $x^{2}\equiv 1~(\text{mod}~d)$.
We study positive integers $n$ such that $n\phi (n)\equiv 2\hspace{0.167em} {\rm mod}\hspace{0.167em} \sigma (n)$, where $\phi (n)$ and $\sigma (n)$ are the Euler function and the sum of divisors function of the positive integer $n$, respectively. We give a general ineffective result showing that there are only finitely many such $n$ whose prime factors belong to a fixed finite set. When this finite set consists only of the two primes $2$ and $3$ we use continued fractions to find all such positive integers $n$.
A general analytic scheme for Poisson approximation to discrete distributions is studied in which the asymptotic behaviours of the generalized total variation, Fortet-Mourier (or Wasserstein), Kolmogorov and Matusita (or Hellinger) distances are explicitly characterized. Applications of this result include many number-theoretic functions and combinatorial structures. Our approach differs from most of the existing ones in the literature and is easily amended for other discrete approximations; arithmetic and combinatorial examples for Bessel approximation are also presented. A unified approach is developed for deriving uniform estimates for probability generating functions of the number of components in general decomposable combinatorial structures, with or without analytic continuation outside their circles of convergence.
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