How to resolve the algorithm Ramanujan's constant step by step in the Python programming language

Published on 12 May 2024 09:40 PM

How to resolve the algorithm Ramanujan's constant step by step in the Python programming language

Table of Contents

Problem Statement

Calculate Ramanujan's constant (as described on the OEIS site) with at least 32 digits of precision, by the method of your choice. Optionally, if using the 𝑒**(π*√x) approach, show that when evaluated with the last four Heegner numbers the result is almost an integer.

Let's start with the solution:

Step by Step solution about How to resolve the algorithm Ramanujan's constant step by step in the Python programming language

The provided Python code calculates and displays Ramanujan's constant and then explores the behavior of the exponential function involving square roots of certain Heegner numbers. Here's a breakdown of the code:

  1. Importing Libraries:

    • mpmath is a Python library that provides high-precision mathematical functions. The code imports it using from mpmath import mp.
  2. Defining Heegner Numbers:

    • heegner = [19,43,67,163] defines a list of Heegner numbers. Heegner numbers are positive integers whose square roots produce nearly integers when multiplied by π (pi).
  3. Setting Decimal Precision:

    • mp.dps = 50 sets the desired decimal precision for the calculations to 50 digits.
  4. Calculating Ramanujan's Constant:

    • x = mp.exp(mp.pi*mp.sqrt(163)) calculates Ramanujan's constant, which is approximately e^(π√163). The expression inside the exponential is the square root of 163 multiplied by π.
  5. Printing Ramanujan's Constant:

    • print("calculated Ramanujan's constant: {}".format(x)) prints the calculated Ramanujan's constant with the specified precision.
  6. Exploring Heegner Numbers:

    • The code enters a loop that iterates through each Heegner number in the heegner list.
    • Inside the loop:
      • mp.exp(mp.pi*mp.sqrt(i)) calculates the exponential function for each Heegner number i.
      • round(mp.exp(mp.pi*mp.sqrt(i))) rounds the calculated value to the nearest integer.
      • (mp.pi*mp.sqrt(i)) - round(mp.pi*mp.sqrt(i)) calculates the difference between the calculated value and its rounded version.
      • The code then prints the following information:
        • The current Heegner number i
        • The calculated exponential value for that Heegner number
        • The rounded integer version of the calculated value
        • The difference between the calculated value and its rounded version

This loop showcases how the exponential function involving square roots of Heegner numbers produces values that are close to integers, with the error decreasing as the Heegner number increases.

Source code in the python programming language

from mpmath import mp
heegner = [19,43,67,163]
mp.dps = 50
x = mp.exp(mp.pi*mp.sqrt(163))
print("calculated Ramanujan's constant: {}".format(x))
print("Heegner numbers yielding 'almost' integers:")
for i in heegner:
    print(" for {}: {} ~ {} error: {}".format(str(i),mp.exp(mp.pi*mp.sqrt(i)),round(mp.exp(mp.pi*mp.sqrt(i))),(mp.pi*mp.sqrt(i)) - round(mp.pi*mp.sqrt(i))))


  

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