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Weak Induction

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Core Idea

Weak induction (or standard induction) proves a statement P(n) for all natural numbers by: (1) proving the base case P(1) or P(0), and (2) proving that if P(k) is true, then P(k+1) is true. The inductive step assumes P(k) for one value k and derives P(k+1). Weak induction is sufficient for most inductive proofs.

How It's Best Learned

Work through several inductive proofs with clear base cases and inductive steps. Practice formulating the inductive hypothesis clearly.

Common Misconceptions

Explainer

Think of induction as a domino argument. You have infinitely many dominoes standing in a line, labeled 1, 2, 3, ... You want to show they all fall. The strategy: (1) knock down domino 1 (the base case), and (2) verify that whenever domino k has fallen, domino k+1 also falls (the inductive step). If both conditions hold, every domino falls — because domino 1 falls, which knocks down domino 2, which knocks down domino 3, and so on forever. Weak induction is just this argument made precise.

In formal terms, weak induction proves a predicate P(n) holds for all natural numbers n ≥ n₀. Your work with predicates and quantified statements prepared you for exactly this: P(n) is a predicate, and we want ∀n ≥ n₀, P(n). The proof has two parts. The base case establishes P(n₀) directly — usually by substitution and simple calculation. The inductive step assumes P(k) for an arbitrary fixed k (this is the inductive hypothesis) and then derives P(k+1). The derivation must actually use the assumption P(k); if it doesn't, something is wrong.

A classic example: prove that 1 + 2 + ... + n = n(n+1)/2. Base case: n=1 gives 1 = 1(2)/2 = 1. ✓. Inductive step: assume the formula holds for k, so 1 + 2 + ... + k = k(k+1)/2. Now consider the sum up to k+1: it equals k(k+1)/2 + (k+1) = (k+1)[k/2 + 1] = (k+1)(k+2)/2, which is the formula with n = k+1. ✓. The key move was taking the assumed result for k and building up to k+1 by adding the next term — the domino step.

The most common error is circular reasoning in the inductive step: students sometimes use P(k+1) to prove P(k+1), which proves nothing. The inductive hypothesis is P(k) — a statement about k — and you must derive P(k+1) from it using valid algebra or logic. A secondary pitfall is treating verification by examples as induction. Checking that the formula holds for n = 1, 2, 3, 4, 5 is not an inductive proof; it establishes only finitely many cases. Induction is powerful precisely because the inductive step is a universal claim — it works for *every* k — and combining it with the base case yields the result for all n at once.

Practice Questions 5 questions

Prerequisite Chain

Understanding Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Introduction to Exponents → Order of Operations → Integer Order of Operations → Variable Expressions → The Distributive Property → Variables and Expressions Review → Introduction to Polynomials → Adding and Subtracting Polynomials → Multiplying Polynomials → Factorial → Permutations → Combinations → Counting Principles: Addition and Multiplication Rules → Introduction to Graph Theory → Propositional Logic Foundations → Logical Equivalences → Set Operations: Union, Intersection, and Complement → Proof by Cases → Proving by Cases and Exhaustion → Vacuous Truth and Trivial Cases → Proof by Cases (Proof by Exhaustion) → Mathematical Induction → Weak Induction

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Prerequisites (3)

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