Math Problem Statement

ln(n!) ~ n ln n?

Solution

The expression shown in the image seems to be asking for an approximation of ln(n!)\ln(n!), which is the natural logarithm of n!n!, where n!n! (n factorial) is the product of all positive integers up to nn. The question is whether this is approximately equal to nlnnn \ln n.

To answer this, we can apply Stirling's approximation, which is commonly used to approximate the factorial function for large nn. Stirling's approximation states:

n!2πn(ne)nn! \sim \sqrt{2 \pi n} \left(\frac{n}{e}\right)^n

Taking the natural logarithm of both sides gives:

ln(n!)ln(2πn(ne)n)\ln(n!) \sim \ln\left(\sqrt{2 \pi n} \left(\frac{n}{e}\right)^n\right)

We can break this down further:

ln(n!)ln(2πn)+ln(ne)n\ln(n!) \sim \ln(\sqrt{2 \pi n}) + \ln\left(\frac{n}{e}\right)^n

The first term becomes:

ln(2πn)=12ln(2πn)\ln(\sqrt{2 \pi n}) = \frac{1}{2} \ln(2 \pi n)

The second term simplifies to:

ln(ne)n=nln(ne)=nlnnn\ln\left(\frac{n}{e}\right)^n = n \ln\left(\frac{n}{e}\right) = n \ln n - n

Thus, the overall approximation is:

ln(n!)12ln(2πn)+nlnnn\ln(n!) \sim \frac{1}{2} \ln(2 \pi n) + n \ln n - n

For large nn, the term 12ln(2πn)\frac{1}{2} \ln(2 \pi n) becomes negligible in comparison to nlnnn \ln n and nn, so the leading approximation becomes:

ln(n!)nlnnn\ln(n!) \sim n \ln n - n

This shows that ln(n!)\ln(n!) is approximately nlnnn \ln n, but it also includes an additional n-n term. Therefore, ln(n!)\ln(n!) is not exactly nlnnn \ln n, but for large values of nn, it is asymptotically close to nlnnn \ln n.


Do you need further clarifications or details on this solution?

Here are five related questions for further exploration:

  1. How does Stirling’s approximation improve as nn increases?
  2. What is the significance of the n-n term in the Stirling approximation?
  3. How can Stirling’s approximation be used to estimate large factorials?
  4. Why does the 12ln(2πn)\frac{1}{2} \ln(2 \pi n) term become negligible for large nn?
  5. How does the approximation ln(n!)nlnnn\ln(n!) \sim n \ln n - n compare with other approximations for factorials?

Tip: Stirling's approximation is particularly useful in combinatorics and statistical mechanics, where the factorial of large numbers frequently appears.

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Math Problem Analysis

Mathematical Concepts

Factorial
Natural Logarithm
Stirling's Approximation

Formulas

ln(n!) ~ n ln n - n
Stirling's approximation n! ~ sqrt(2πn)(n/e)^n

Theorems

Stirling's Approximation

Suitable Grade Level

Undergraduate Mathematics