Combinations

Theorem Related to Combinations

Examples and Theorem Related to Combinations

Data Science and A.I. Lecture Series

Author: Bindeshwar Singh Kushwaha

Theorem: Relationship Between Permutations and Combinations

Theorem:

The number of permutations of \(n\) different objects taken \(r\) at a time is related to the number of combinations by:

\[
P^n_r = C^n_r \cdot r!
\]

where \(0 < r \leq n\).

Explanation:

  • A combination \(C^n_r\) counts the number of ways to select \(r\) objects from \(n\), without considering order.
  • A permutation \(P^n_r\) includes all possible arrangements of the selected \(r\) objects.
  • Therefore, multiplying \(C^n_r\) by \(r!\), the number of ways to arrange \(r\) objects, gives \(P^n_r\).

Theorem: Pascal’s Identity

Theorem:

For integers \(n\) and \(r\), where \(0 \leq r \leq n\),

\[
C^n_r + C^n_{r-1} = C^{n+1}_r
\]

Explanation:

  • Pascal’s Identity describes the relationship between combinations of different levels.
  • The left-hand side represents:
    • \(C^n_r\): Choosing \(r\) items from \(n\).
    • \(C^n_{r-1}\): Choosing \(r-1\) items from \(n\), then adding one more item.
  • The right-hand side \(C^{n+1}_r\) represents choosing \(r\) items from \(n+1\), accounting for all cases.

Example: Solving a Combination Equation

Problem:

If \(C^n_9 = C^n_8\), find \(C^{17}_n\).

Solution:

  • Using the combination formula:
    \[
    C^n_9 = \frac{n!}{9!(n-9)!}, \quad C^n_8 = \frac{n!}{8!(n-8)!}
    \]
  • Equating the two:
    \[
    \frac{n!}{9!(n-9)!} = \frac{n!}{8!(n-8)!}
    \]
  • Simplify:
    \[
    \frac{1}{9} = \frac{n-8}{1} \implies n = 17
    \]
  • Therefore:
    \[
    C^{17}_n = C^{17}_{17} = 1
    \]

Example: Committee Formation

Problem:

A committee of 3 persons is to be formed from 2 men and 3 women.

Solution:

  • Total ways to select 3 people from 5:
    \[
    C^5_3 = \frac{5!}{3! \cdot 2!} = 10
    \]
  • Ways to select 1 man and 2 women:
    \[
    C^2_1 \cdot C^3_2 = \frac{2!}{1! \cdot 1!} \cdot \frac{3!}{2! \cdot 1!} = 2 \cdot 3 = 6
    \]

Example: Choosing Cards from a Deck

Problem:

What is the number of ways to choose 4 cards from a deck of 52 cards? Solve for:

  1. Four cards of the same suit.
  2. Four cards from different suits.
  3. Four face cards.

Solution:

  • Total ways:
    \[
    C^{52}_4 = \frac{52!}{4! \cdot 48!} = 270725
    \]
  • Four cards of the same suit:
    \[
    4 \cdot C^{13}_4 = 4 \cdot \frac{13!}{4! \cdot 9!} = 4 \cdot 2860 = 11440
    \]
  • Four cards from different suits:
    \[
    C^{13}_1 \cdot C^{13}_1 \cdot C^{13}_1 \cdot C^{13}_1 = 13^4 = 28561
    \]

Four face cards:
\[
C^{12}_4 = \frac{12!}{4! \cdot 8!} = 495
\]

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