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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›Induction: Weak Induction
    Discrete StructuresTopic 42 of 67

    Induction: Weak Induction

    8 minread
    1,419words
    Intermediatelevel

    Weak Induction (Mathematical Induction)

    Mathematical induction is a fundamental proof technique used in mathematics to prove statements or propositions that are asserted to be true for all natural numbers nnn. There are two main types of mathematical induction: Weak Induction (also known as Simple Induction) and Strong Induction.

    In this explanation, we will focus on Weak Induction, which is the most common form.

    Steps of Weak Induction

    Weak induction involves two main steps:

    1. Base Case:

    We start by proving that the statement holds for the smallest value in the domain, typically for n=0n = 0n=0 or n=1n = 1n=1. This step establishes the starting point for the induction process.

    2. Inductive Step:

    Next, we assume that the statement is true for some arbitrary value n=kn = kn=k, where kkk is a natural number. This assumption is called the inductive hypothesis. We then prove that the statement holds for the next value, n=k+1n = k + 1n=k+1, using the assumption that it holds for n=kn = kn=k.

    If both steps are successfully completed, the principle of mathematical induction tells us that the statement is true for all natural numbers greater than or equal to the base case value.

    Formal Structure of Weak Induction

    To formalize this, let’s denote the statement we want to prove by P(n)P(n)P(n), where P(n)P(n)P(n) is some property that depends on nnn. The process of weak induction can be written as follows:

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

    2. Inductive Hypothesis: Assume that P(k)P(k)P(k) is true for some arbitrary k≥0k \geq 0k≥0.

    3. Inductive Step: Using the assumption P(k)P(k)P(k) is true, prove that P(k+1)P(k+1)P(k+1) is true.

    By weak induction, if both steps are completed, we conclude that P(n)P(n)P(n) is true for all n≥0n \geq 0n≥0 (or n≥1n \geq 1n≥1, depending on the base case).

    Example of Weak Induction

    Let’s go through a simple example to demonstrate how weak induction works.

    Statement:

    We want to prove the following statement for all natural numbers nnn:

    P(n):1+2+3+⋯+n=n(n+1)2P(n): \quad 1 + 2 + 3 + \dots + n = \frac{n(n+1)}{2}P(n):1+2+3+⋯+n=2n(n+1)​

    This is the sum of the first nnn natural numbers, and we want to prove that it is equal to n(n+1)2\frac{n(n+1)}{2}2n(n+1)​.

    Step 1: Base Case

    We first check the base case, n=1n = 1n=1:

    For n=1n = 1n=1, the left-hand side of the equation is:

    1=1(1+1)2=1×22=11 = \frac{1(1+1)}{2} = \frac{1 \times 2}{2} = 11=21(1+1)​=21×2​=1

    Since both sides are equal, the base case holds.

    Step 2: Inductive Hypothesis

    Next, we assume that the formula holds for some arbitrary k≥1k \geq 1k≥1. That is, we assume:

    1+2+3+⋯+k=k(k+1)21 + 2 + 3 + \dots + k = \frac{k(k+1)}{2}1+2+3+⋯+k=2k(k+1)​

    This is our inductive hypothesis.

    Step 3: Inductive Step

    We now need to prove that the formula holds for n=k+1n = k + 1n=k+1. That is, we want to show that:

    1+2+3+⋯+k+(k+1)=(k+1)(k+2)21 + 2 + 3 + \dots + k + (k+1) = \frac{(k+1)(k+2)}{2}1+2+3+⋯+k+(k+1)=2(k+1)(k+2)​

    Using the inductive hypothesis, we know that:

    1+2+3+⋯+k=k(k+1)21 + 2 + 3 + \dots + k = \frac{k(k+1)}{2}1+2+3+⋯+k=2k(k+1)​

    Now, add (k+1)(k+1)(k+1) to both sides:

    k(k+1)2+(k+1)\frac{k(k+1)}{2} + (k+1)2k(k+1)​+(k+1)

    Factor out (k+1)(k+1)(k+1):

    (k+1)(k2+1)=(k+1)(k+22)(k+1) \left( \frac{k}{2} + 1 \right) = (k+1) \left( \frac{k+2}{2} \right)(k+1)(2k​+1)=(k+1)(2k+2​)

    Thus, we have shown that:

    1+2+3+⋯+k+(k+1)=(k+1)(k+2)21 + 2 + 3 + \dots + k + (k+1) = \frac{(k+1)(k+2)}{2}1+2+3+⋯+k+(k+1)=2(k+1)(k+2)​

    This is exactly the right-hand side of the equation we wanted to prove for n=k+1n = k + 1n=k+1.

    Conclusion:

    Since we have completed both the base case and the inductive step, by the principle of weak induction, we can conclude that the formula holds for all n≥1n \geq 1n≥1.

    Why It Works

    The reason weak induction works is based on the well-ordering principle of natural numbers. The well-ordering principle states that every non-empty set of natural numbers has a least element. When we prove a statement by induction, we essentially show that if the statement holds for some number kkk, it must also hold for k+1k + 1k+1. Since we proved the base case, and the inductive step shows that the truth of the statement for kkk implies its truth for k+1k + 1k+1, we can conclude that the statement is true for all natural numbers.

    Applications of Weak Induction

    Weak induction is used to prove many results in mathematics, especially in number theory, combinatorics, and algebra. Here are a few common types of problems that can be solved using weak induction:

    • Summation formulas (like the sum of the first nnn natural numbers).
    • Inequalities (e.g., proving that 2n≥n22^n \geq n^22n≥n2 for all n≥5n \geq 5n≥5).
    • Divisibility properties (e.g., proving divisibility rules or congruence relations).
    • Recursion (e.g., proving properties of recursive sequences).

    In summary, weak induction is a powerful and elegant proof technique that can be applied to prove statements about natural numbers. By verifying a base case and proving the inductive step, we can prove that a statement holds for all values in a sequence of natural numbers.

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    Strong Induction

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