Beginner Topic 5 of 51 Theory & Discrete Math
Mathematical Induction
Proof technique establishing a statement for all naturals.
How it works
Mathematical induction proves that a statement holds for all natural numbers, or all elements of a well-ordered structure, in two steps: a base case, showing it holds for the first value, and an inductive step, showing that if it holds for k then it holds for k plus 1. Strong induction assumes the statement for all values up to k, and structural induction proves properties of recursively defined objects such as lists and trees.
Step-by-step walkthrough
- Prove the statement for the first value, n = 1.
- Assume it holds for some k, the inductive hypothesis.
- Show that it then holds for k + 1.
- Like dominoes, the first falls and each knocks over the next.
- Therefore it is true for all natural numbers.
Where it is used
Proving formulas such as the sum of the first n integers, correctness of recursive algorithms and loop invariants, bounds in recurrences and properties of data structures use induction.
Common pitfall
Forgetting the base case, or proving the inductive step with an unjustified assumption, invalidates the proof. A flawed step can silently prove false claims, such as all horses have the same color, where the step fails for small values. Be explicit about the induction hypothesis, and check the step works for the smallest k.
Where it fits in the course
Mathematical Induction is topic 5 of 51 in Theory & Discrete Math, rated Beginner. It follows Functions and Relations. The next topic is Proof Techniques.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Theory & Discrete Math quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Theory & Discrete Math quiz, and revisit the topic if you miss a question.
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Related topics
- Functions and Relations (Theory & Discrete Math)
- Proof Techniques (Theory & Discrete Math)
- Sets and Set Operations (Theory & Discrete Math)
- Counting Principles (Theory & Discrete Math)