The recursive rules tell us how to calculate addition and multiplication. The question in this note is why those rules imply the familiar algebraic laws. The order of proof matters: first establish identities for addition, then use them in multiplication proofs, and only then use cancellation to construct larger number systems.
Recursive addition
Definition
Recursive definition of addition
For natural numbers and , addition is defined by:
This is a recursive definition. You know the result when the second input is , and every later value is built from an earlier one.
Worked example
Compute from the definition
Write and .
Then:
.
That is the number usually called .
Common mistake
A recursive formula is not yet a proof
The formulas tell you how the operation is defined. They do not automatically prove a claim about all natural numbers. For that, you still need induction.
Recursive multiplication
Multiplication is introduced in the same recursive style. Once addition is available, multiplication can be read as repeated addition controlled by the second input.
Definition
Recursive definition of multiplication
For natural numbers and , multiplication is defined by:
The base case says that adding zero times gives . The step says that if you already know , then multiplying by the successor adds one more copy of .
Worked example
Compute from the definition
Write . Then
and
Therefore
The familiar interpretation “three, taken two times” is recovered from the recursive rule.
What induction proves
The induction principle is the reason recursive definitions can support ordinary algebraic laws. A typical proof has the following shape.
Theorem
Induction principle
Let be a statement about a natural number . If:
- is true, and
- whenever is true, is also true,
then is true for every .
The base case attaches the statement to the starting point . The induction step proves that truth is preserved when we move one successor forward. The two parts together rule out the possibility that the statement holds at first but then fails later.
Follow an induction argument
The stepper below separates one induction proof into the base case, the induction hypothesis, the induction step, and the conclusion.
Read and try
Trace one induction proof
Follow the proof of 0 + n = n: verify the base case, state the induction hypothesis, and use the recursive rule to reach the successor.
Claim
Claim: for every natural number n, 0 + n = n.
A small proof-planning habit for the ordinary step.
Author's note
Plan the ordinary induction step backward
A small proof-planning habit for the ordinary step.
Before carrying out the ordinary induction step, inspect the target : what intermediate statement would suffice to establish it, and how could the induction hypothesis supply that statement? This reverse planning is ordinary proof strategy: it does not assume ; it helps you arrange the deduction from the explicitly assumed to the successor case.
Establish the successor identity
Proof: by induction on
We prove the statement for all .
Base case: when ,
.
Induction step: assume . Then
by the recursive rule,
by the induction hypothesis,
by the recursive rule again.
So the statement holds for whenever it holds for .
Why is a definition
For multiplication, the formula
is not something proved after multiplication is already known. It is the recursive step that defines multiplication. Later algebraic laws, such as distributivity, are the statements that require induction.
Algebraic laws come after the definitions
Once addition and multiplication have been defined recursively, the familiar laws of arithmetic become theorems.
Theorem
Examples of arithmetic laws proved by induction
For natural numbers , , and , one proves:
and
The important point is the order of logic: we first define the operations, then prove that they behave like the operations we already know.
Proof: associativity of addition
Fix and , and induct on for
When , both sides equal by and the defining rule. If the identity holds for , then
The second line is the induction hypothesis and the first and last rewrites use the recursive addition rule. Thus addition is associative before it is used to rearrange terms in later proofs.
Proof:
Induct on . The base case is the defining equation . If , then
Hence for every natural number .
From a recursive rule to a proof
There are two related but different uses of the successor pattern. A recursive definition tells us how to calculate a new value from an earlier value. An induction proof tells us how to establish a statement for every natural input. The calculation can suggest a theorem, but it does not replace the proof.
Worked example
Compute one successor at a time
Using and the multiplication rule,
Each line reduces the second input until the base case is reached. Only then do we simplify the resulting additions.
A complete proof that
Define to be the statement .
For the base case, the recursive addition rule gives .
For the step, assume , so . Then
The first equality is the recursive definition, and the second uses the induction hypothesis. Therefore follows from . Induction concludes that for every .
This proof is small, but it supplies a fact needed by later algebra. It also shows why the induction hypothesis should be written explicitly instead of replaced by an informal phrase such as “the pattern continues.”
Theorem
Addition is commutative after the induction lemmas
For all , .
Proof of commutativity of addition
Fix and induct on .
When ,
where the first equality is the definition and the second is the lemma .
Now assume . Then
The middle equality is the induction hypothesis, and the last equality is the successor-on-the-left identity. Thus the claim holds for , completing the induction. The proof is a model for later algebra: first prove the identities forced by the recursive orientation, then use them to establish familiar symmetric laws.
Proof: cancellation in
We prove the left-cancellation law
by induction on . When , the identity reduces to by . For the step, suppose the result is known for , and assume . The successor-on-the-left lemma and injectivity of give ; the induction hypothesis then gives . This cancellation theorem is the natural-number fact used when proving transitivity of the integer equivalence relation.
Common mistake
A calculation of several cases is not induction
Computing , , and checks only three inputs. An induction proof must name an arbitrary , prove the base case, and show how the statement passes from to .
Checkpoint
What is the difference between a recursive definition and an induction hypothesis?
Mention what each one is allowed to do.
Solution · Answer
A recursive definition gives the value of an operation by reducing an input to a base case. An induction hypothesis is a temporary assumption that a particular statement holds at an arbitrary , used to prove the statement at .
A full induction proof of distributivity
Fix and , and let
For ,
Assume . Since , the recursive multiplication rule and the induction hypothesis give
The penultimate equality uses associativity of addition, itself proved by an earlier induction. Thus follows, and distributivity holds for every natural .
Proof: associativity of multiplication
We prove by induction on , using the already established distributivity and addition laws. The base case is
For the step, the induction hypothesis and distributivity give
The last equality uses the recursive multiplication rule, completing the induction. Positive factors also have positive product: write and . Then
The last step uses recursive addition and the axiom that zero is not a successor. This will justify the signed-representative argument in .
How commutativity of multiplication is organized
The recursive definition expands the second input, so the identity cannot be justified by simply swapping symbols in the definition. A useful auxiliary lemma is proved first by induction on :
For , both sides are . If the identity holds for , the successor rule for the second input and the induction hypothesis give
Associativity and commutativity of addition, already established from the recursive addition rules, rearrange this to the expression required in the next induction step: using and the recursive expansion , the target is . The lemma therefore supplies the missing orientation. Now induction on proves commutativity: the base case is ; for the successor case,
This proof architecture matters: each rearrangement cites a previously proved addition fact, while each recursive expansion follows the stated definition. It prevents the circular argument that treats multiplication as commutative merely because its notation looks symmetric.
Worked example
Proving without assuming commutativity
Write . First, the recursive rule gives
Now prove by induction. At , both sides are . If , then
where the last equality is the recursive rule. Hence for every , and combining the two identities yields .
Quick checks
Checkpoint
What is the base case in the recursive definition of addition?
Think about which input is fixed first.
Solution · Answer
The base case is .
Checkpoint
What is the base case in the recursive definition of multiplication?
Look at the second input.
Solution · Answer
The base case is .
Checkpoint
Using the recursive rule, what is ?
State the next multiplication value in terms of the previous one.
Solution · Answer
It is .
Checkpoint
In an induction proof, what is the induction hypothesis?
Use one short sentence.
Solution · Answer
It is the assumption that the claim holds for a fixed natural number , before proving it for .
Read this first
If you want the formal setup for the natural numbers, review 3.1 Natural numbers and Peano's axioms.