On certain sums involving the largest prime factor over integer sequences

This paper derives asymptotic formulas for the sums of the smallest integer f(n)f(n) such that f(n)!f(n)! is divisible by nn, considering both all integers up to xx and the subset of kk-free integers.

Mihoub Bouderbala

Published 2026-03-05
📖 5 min read🧠 Deep dive

Imagine you have a giant warehouse filled with boxes, numbered from 1 up to a massive number xx. Inside each box is a secret code: a unique combination of prime numbers (the "atoms" of math) multiplied together to make that number.

For example, the number 12 is made of $2 \times 2 \times 3.Thenumber30ismadeof. The number 30 is made of 2 \times 3 \times 5$.

The Game: "How Big a Party Do You Need?"

The paper introduces a character named f(n)f(n). Think of f(n)f(n) as the answer to a party planning question:

"What is the smallest number of people (NN) I need to invite to a party so that if everyone shakes hands with everyone else (which mathematically creates a 'factorial' number of handshakes), the total number of handshakes is perfectly divisible by the number on the box?"

  • If the box says 12 ($2 \times 2 \times 3),youneedapartyof4people.Why?Because), you need a party of **4** people. Why? Because 4!(4factorial,or (4 factorial, or 4 \times 3 \times 2 \times 1 = 24)isdivisibleby12.Apartyof3people() is divisible by 12. A party of 3 people (3! = 6)isntenough.So,) isn't enough. So, f(12) = 4$.
  • If the box says 7 (a prime number), you need a party of 7 people. You can't get a multiple of 7 from a smaller group's handshakes. So, f(7)=7f(7) = 7.

The author, Mihoub Bouderbala, wants to know: If we add up the "party sizes" (f(n)f(n)) for every single box in the warehouse, what is the total?

The Two Main Questions

The paper tackles two specific scenarios:

  1. The General Warehouse: Add up f(n)f(n) for every number from 1 to xx.
  2. The "Square-Free" (or Cube-Free) Warehouse: Add up f(n)f(n) only for numbers that don't have any repeated prime factors.
    • Analogy: Imagine a rule where you can't have a "double" ingredient. 12 ($2 \times 2 \times 3)isbannedbecauseithastwo2s.But30() is banned because it has two 2s. But 30 (2 \times 3 \times 5)isallowedbecauseallingredientsareunique.Thesearecalled) is allowed because all ingredients are unique. These are called **k$-free numbers**.

The Big Discovery

The author found a surprisingly simple way to predict the total sum without having to count every single box.

1. The General Sum

When you add up the party sizes for all numbers up to xx, the total grows roughly like this:
Totalπ26×x2logx \text{Total} \approx \frac{\pi^2}{6} \times \frac{x^2}{\log x}
(Note: π26\frac{\pi^2}{6} is a famous math constant called ζ(2)\zeta(2), roughly 1.645).

The Analogy: Imagine the warehouse is a pyramid. The total sum isn't just a straight line; it's a massive curve that grows very fast (like x2x^2), but it's slightly slowed down by the "noise" of prime numbers (the logx\log x part). The author proves that the "noise" doesn't change the main shape of the curve, just the fine details.

2. The "Special" Sum (k-free numbers)

When you only count the numbers with unique ingredients (no repeats), the total sum changes slightly. It becomes:
Total(π2/6)22×ζ(2k)×x2logx \text{Total} \approx \frac{(\pi^2/6)^2}{2 \times \zeta(2k)} \times \frac{x^2}{\log x}

The Analogy: It's like filtering the warehouse. You throw out all the boxes with "duplicates." The total sum gets smaller, but it still follows the same giant curve shape. The new formula just adjusts the "height" of the curve based on how strict the "no duplicates" rule is.

How Did They Figure It Out? (The Secret Sauce)

The author used a clever trick involving the Largest Prime Factor.

Think of any number as a tower built of blocks. The largest prime factor is the biggest block at the very top of the tower.

  • If the tower is short (the number is small compared to the square of its biggest block), the "party size" f(n)f(n) is exactly equal to that biggest block.
  • If the tower is very tall and complex, the "party size" is still dominated by that biggest block, plus a little bit of extra work.

The author realized that for most numbers, the "party size" is basically just the size of the biggest prime block. By summing up the biggest prime blocks of all numbers (a problem mathematicians have studied before), they could easily predict the sum of the party sizes.

Why Does This Matter?

You might ask, "Who cares about party sizes for numbers?"

  1. Understanding the DNA of Numbers: Just as biologists study how genes combine, mathematicians study how prime numbers combine. This paper helps us understand the "anatomy" of integers.
  2. Predicting the Unpredictable: Prime numbers seem random, but they follow hidden laws. This paper shows that even complex functions like f(n)f(n) settle into a predictable pattern when you look at them on a large scale.
  3. The "Smooth" Connection: The paper links to "smooth numbers" (numbers with small prime factors). This has applications in cryptography and computer science, where understanding how numbers break down is crucial for security.

In a Nutshell

This paper is like a map for a massive, chaotic city of numbers. The author draws a line through the chaos and says, "Even though every number is unique, if you look at the whole city, the total 'effort' required to understand them all follows a beautiful, simple curve."

They proved that whether you look at all numbers or just the "clean" ones (without repeated factors), the total sum grows in a very specific, predictable way, governed by the famous number π\pi and the distribution of prime numbers.