How to resolve the algorithm Repunit primes step by step in the Ruby programming language

Published on 12 May 2024 09:40 PM

How to resolve the algorithm Repunit primes step by step in the Ruby programming language

Table of Contents

Problem Statement

Repunit is a portmanteau of the words "repetition" and "unit", with unit being "unit value"... or in laymans terms, 1. So 1, 11, 111, 1111 & 11111 are all repunits. Every standard integer base has repunits since every base has the digit 1. This task involves finding the repunits in different bases that are prime. In base two, the repunits 11, 111, 11111, 1111111, etc. are prime. (These correspond to the Mersenne primes.) In base three: 111, 1111111, 1111111111111, etc. Repunit primes, by definition, are also circular primes. Any repunit in any base having a composite number of digits is necessarily composite. Only repunits (in any base) having a prime number of digits might be prime.

Rather than expanding the repunit out as a giant list of 1s or converting to base 10, it is common to just list the number of 1s in the repunit; effectively the digit count. The base two repunit primes listed above would be represented as: 2, 3, 5, 7, etc. Many of these sequences exist on OEIS, though they aren't specifically listed as "repunit prime digits" sequences. Some bases have very few repunit primes. Bases 4, 8, and likely 16 have only one. Base 9 has none at all. Bases above 16 may have repunit primes as well... but this task is getting large enough already.

Let's start with the solution:

Step by Step solution about How to resolve the algorithm Repunit primes step by step in the Ruby programming language

The given Ruby code snippet explores the primality of numbers expressed in different numeral systems (bases) and prints the prime numbers found. It uses the Prime module from the prime library for generating prime numbers and the GMP::Z class from the gmp library for performing primality tests using the probabilistic Miller-Rabin algorithm.

Here's a detailed breakdown of the code:

  1. Importing Modules:

    require 'prime'
    require 'gmp'

    These lines import the Prime module from the prime library and the GMP::Z class from the gmp library, which are used for generating prime numbers and performing primality tests, respectively.

  2. Iterating Over Numeral Bases:

    (2..16).each do |base|

    This loop iterates over a range of integers from 2 to 16, inclusive. It represents the different numeral bases (2 to 16) that will be used to express the numbers being tested for primality.

  3. Generating Primes:

    res = Prime.each(1000)

    This line generates a sequence of prime numbers up to 1000 using the Prime.each method from the prime library.

  4. Filtering and Testing for Primality:

    res = res.select {|n| GMP::Z(("1" * n).to_i(base)).probab_prime? > 0}

    This line filters the generated prime numbers by selecting only those that are probable primes when expressed in the current base. It does so by converting each prime number n to a string of "1"s of length n and then converting that string to an integer using the specified base. The GMP::Z class is used to perform the probabilistic primality test using the probab_prime? method. If the result of the test is greater than 0, it indicates that the number is likely prime.

  5. Printing the Result:

    puts "Base #{base}: #{res.join(" ")}"

    This line prints the prime numbers found for the current base. It joins the prime numbers in the res array into a single string separated by spaces and prefixes the result with the base number.

By executing this code, you can generate and display lists of prime numbers in various numeral systems. It demonstrates the use of the Prime module for prime number generation and the GMP::Z class for performing probabilistic primality testing.

Source code in the ruby programming language

require 'prime'
require 'gmp'

(2..16).each do |base|
  res = Prime.each(1000).select {|n| GMP::Z(("1" * n).to_i(base)).probab_prime? > 0}
  puts "Base #{base}: #{res.join(" ")}"
end


  

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