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Chapter 6: Permutations and Combinations

How many ways can 55 books be arranged on a shelf? How many committees of 44 can be formed from 1010 people? How many license plates can be made with 33 letters and 44 digits? Combinatorics , the art of counting , gives precise answers to all such questions, often without ever listing the possibilities.

This chapter introduces two complementary ideas. A permutation is an arrangement where order matters (the first book, then the second book, then the third). A combination is a selection where order does not matter (a committee of four). The same group of people forms many different "arrangements in a queue" but exactly one "committee".

Both ideas rest on a single principle , the fundamental principle of counting (multiplication principle). From it we derive the factorial n!=n(n1)1n! = n(n-1)\cdots 1, the permutation count P(n,r)=n!(nr)!P(n, r) = \dfrac{n!}{(n-r)!}, and the combination count (nr)=n!r!(nr)!\binom{n}{r} = \dfrac{n!}{r!(n-r)!}.

For Class XII and JEE you will use these formulas in:

  • Binomial theorem (next chapter): coefficients are (nr)\binom{n}{r}.
  • Probability: counting favourable outcomes.
  • Algebra: counting solutions to equations.
  • Discrete optimisation: counting routes, colourings, codes.

The single biggest test in this chapter is modelling: can you read a word problem and decide whether order matters (permutation), whether repetition is allowed, and what the right formula is?

What's inside

  1. Fundamental principle of counting , the multiplication and addition principles.
  2. Factorials , definition, computation, simplifications.
  3. Permutations of distinct objects , P(n,r)P(n, r) and arrangements.
  4. Permutations with repetition and identical objects , circular and special cases.
  5. Combinations , (nr)\binom{n}{r} and selections.
  6. Mixed and applied problems , words, committees, geometry, hand-shakes.

Key results / Formula card

ConceptFormula
Multiplication principleIf AA has mm outcomes and BB has nn, then "AA then BB" has mnm \cdot n
Factorialn!=n(n1)(n2)1n! = n(n-1)(n-2)\cdots 1, 0!=10! = 1
Permutation nn distinct, rr at a timeP(n,r)=n!(nr)!P(n, r) = \dfrac{n!}{(n-r)!}
Permutations of nn with repetition allowednrn^r (rr positions)
Permutations of nn objects, pp of one kind, qq of anothern!p!q!\dfrac{n!}{p!\,q!\,\cdots}
Circular permutations of nn distinct(n1)!(n-1)!
Combination nn distinct, rr at a time(nr)=n!r!(nr)!\binom{n}{r} = \dfrac{n!}{r!\,(n-r)!}
Symmetry(nr)=(nnr)\binom{n}{r} = \binom{n}{n - r}
Pascal's identity(nr)=(n1r1)+(n1r)\binom{n}{r} = \binom{n-1}{r-1} + \binom{n-1}{r}
(n0)=(nn)=1\binom{n}{0} = \binom{n}{n} = 1

How to read this chapter

For every problem ask three questions: (i) Does order matter? (ii) Is repetition allowed? (iii) Are all the objects distinct? Your answer to these chooses the formula. Once you have it, the computation is mechanical.

Sub-topics

6 pages

Practice quiz

Answer the questions; explanations appear after each.

Quiz
Chapter 6 : Permutations and Combinations: Mixed practice
10 questions · pick the best answer
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