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    Discrete Structures
    GE-167
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    Topics
    1. Mathematical Reasoning: Propositional and Predicate Logic2. Propositional Logic: Logical Operators3. Translations Between Symbolic Expressions and Formal English Expression4. Logical Equivalences5. Predicate Logic: Quantifiers6. Nested Quantification7. Equivalences in Predicate Logic8. Translations Between Symbolic Forms and Formal English9. Rules of Inference: Proof Methods and Strategies10. Direct Proof11. Proof by Contraposition12. Proof by Induction13. Proof by Implication14. Existence Proof15. Uniqueness Proofs16. Trivial Proofs17. Vacuous Proofs18. Sets: Notations and Set Operations19. Venn Diagrams20. Countable and Uncountable Sets21. Relations: Equivalence Relations and Partitions22. Partial Orderings23. Recurrence Relations24. Functions: Injective, Surjective, Bijective25. Special Types of Functions26. Function Composition27. Inverse Functions28. Recursive Functions29. Compositions30. Number Theory: Sequences and Series31. Counting: Inclusion and Exclusion Principle32. Pigeonhole Principle33. Permutations and Combinations34. Integers and Divisibility: Division Theorem35. Modular Arithmetic36. LCM and GCD37. Euclidean and Extended Euclidean Method38. Finding Solutions to Congruence39. Primes: Fundamental Theorem of Arithmetic40. Characterizations of Primes41. Mersenne Primes42. Induction: Weak Induction43. Strong Induction44. Recursion and Recurrences: Formulation of Recurrences45. Closed Formulas46. Counting: Product Rule and Sum Rule47. Principle of Inclusion-Exclusion48. Binomial Coefficients49. Pascal's Identity and Pascal’s Triangle50. Binomial Theorem51. Relations: Reflexive, Symmetric, Transitive, and Antisymmetric52. Equivalence Relations and Equivalence Classes53. Partial Orders54. Graph Theory: Terminologies55. Elements of Graph Theory56. Planar Graphs57. Graph Coloring58. Euler Graph59. Hamiltonian Path60. Rooted Trees61. Graph Traversals62. Handshaking Lemma and Corollary63. Special Families of Graphs64. Graph Isomorphism65. Planarity in Graphs66. Eulerian and Hamiltonian Graphs67. Trees in Graph Theory
    GE-167›Strong Induction
    Discrete StructuresTopic 43 of 67

    Strong Induction

    8 minread
    1,298words
    Intermediatelevel

    Strong Induction (Complete Induction)

    Strong induction (also called complete induction) is a proof technique similar to weak induction, but with a slightly different approach. While weak induction assumes that the statement is true for a single previous case (usually kkk), strong induction assumes that the statement is true for all values from 1 to kkk in order to prove it for k+1k+1k+1.

    In other words, strong induction allows you to use the inductive hypothesis for multiple previous cases rather than just one.

    Steps of Strong Induction

    Strong induction follows a structure that is very similar to weak induction, but with a subtle difference in the inductive hypothesis. The general structure of a strong induction proof is:

    1. Base Case:

    • Prove the statement for the smallest value of nnn (usually n=0n = 0n=0 or n=1n = 1n=1).

    2. Inductive Hypothesis:

    • Assume that the statement is true for all values from n=1n = 1n=1 to n=kn = kn=k. This means that we assume P(1),P(2),…,P(k)P(1), P(2), \dots, P(k)P(1),P(2),…,P(k) are true.

    3. Inductive Step:

    • Using the assumption that the statement holds for all values from 1 to kkk, prove that the statement holds for n=k+1n = k + 1n=k+1.

    If both the base case and the inductive step are proven, the principle of strong induction tells us that the statement is true for all natural numbers greater than or equal to the base case value.

    Formal Structure of Strong Induction

    Let P(n)P(n)P(n) represent the statement we want to prove for all natural numbers nnn. Strong induction can be written formally as follows:

    1. Base Case: Prove that P(1)P(1)P(1) (or P(0)P(0)P(0)) is true.

    2. Inductive Hypothesis: Assume that P(1),P(2),…,P(k)P(1), P(2), \dots, P(k)P(1),P(2),…,P(k) are true for some arbitrary k≥1k \geq 1k≥1.

    3. Inductive Step: Using the assumption that P(1),P(2),…,P(k)P(1), P(2), \dots, P(k)P(1),P(2),…,P(k) are true, prove that P(k+1)P(k+1)P(k+1) is true.

    If both parts of the induction process are successful, then the principle of strong induction concludes that the statement P(n)P(n)P(n) is true for all n≥1n \geq 1n≥1 (or n≥0n \geq 0n≥0, depending on the base case).

    Example of Strong Induction

    Let's go through an example to see how strong induction works.

    Statement:

    We want to prove that every natural number n≥2n \geq 2n≥2 is a product of prime numbers (i.e., every natural number greater than or equal to 2 is composite or prime).

    Step 1: Base Case

    The smallest value of nnn that we need to check is n=2n = 2n=2. The number 2 is a prime number, so the statement holds for n=2n = 2n=2.

    Step 2: Inductive Hypothesis

    Now, assume that the statement holds for all integers from 222 to kkk, i.e., every integer from 2 to kkk is either a prime or a product of primes. This is the inductive hypothesis.

    Step 3: Inductive Step

    We now need to prove that the statement holds for n=k+1n = k + 1n=k+1.

    To do this, we need to consider two cases:

    1. If k+1k + 1k+1 is a prime number, then the statement holds trivially because k+1k + 1k+1 is a prime number.
    2. If k+1k + 1k+1 is not a prime number, then by definition, k+1k + 1k+1 must be composite. This means there exist integers aaa and bbb such that 2≤a≤k2 \leq a \leq k2≤a≤k and 2≤b≤k2 \leq b \leq k2≤b≤k, and a×b=k+1a \times b = k + 1a×b=k+1.

    Since aaa and bbb are both less than or equal to kkk, by the inductive hypothesis, both aaa and bbb are either primes or products of primes. Therefore, k+1k + 1k+1 is a product of prime numbers.

    Thus, in both cases (whether k+1k + 1k+1 is prime or composite), we have shown that k+1k + 1k+1 is either a prime or a product of primes.

    Conclusion

    Since the base case holds, and we have proven the inductive step, by the principle of strong induction, we conclude that every natural number n≥2n \geq 2n≥2 is either a prime or a product of prime numbers.

    When to Use Strong Induction

    • Weak induction is typically used when the truth of the statement for a single previous case implies the truth of the statement for the next case.
    • Strong induction is used when the truth of the statement for several previous cases (usually all cases up to kkk) is needed to prove the statement for k+1k+1k+1.

    Some problems are easier to prove with strong induction because they require assuming the statement holds for multiple values rather than just one. This is particularly useful when the problem depends on several previous cases rather than just the immediate previous case.

    Applications of Strong Induction

    Strong induction is used to prove many types of results, especially in areas where properties of numbers or structures depend on the entire range of smaller cases. Some common applications include:

    1. Divisibility: Proving divisibility properties for all integers greater than a certain number.
    2. Recursion: Proving properties of recursive sequences or functions.
    3. Combinatorics: Proving combinatorial identities or counting arguments that require using all smaller cases.
    4. Number Theory: Proving properties related to primes, factorization, and divisibility.
    5. Graph Theory: Proving properties of graphs or networks that rely on all smaller subgraphs.

    Summary

    Strong induction is a powerful proof technique that extends the idea of mathematical induction by assuming the statement is true for all values up to kkk to prove that it holds for k+1k + 1k+1. It is particularly useful when proving statements that rely on multiple previous cases, making it a versatile and essential tool in mathematical reasoning.

    Previous topic 42
    Induction: Weak Induction
    Next topic 44
    Recursion and Recurrences: Formulation of Recurrences

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      Est. reading time8 min
      Word count1,298
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      DifficultyIntermediate