Mathematical induction is a mathematical proof technique. It is essentially used to prove that a property P(n) holds for every natural number n, i.e. for n = 0, 1, 2, 3, and so on. Metaphors can be informally used to understand the concept of mathematical induction, such as the metaphor of falling dominoes or climbing a ladder:
Mathematical induction proves that we can climb as high as we like on a ladder, by proving that we can climb onto the bottom rung (the basis) and that from each rung we can climb up to the next one (the step).— Concrete Mathematics, page 3 margins.
The method of induction requires two cases to be proved. The first case, called the base case (or, sometimes, the basis), proves that the property holds for the number 0. The second case, called the induction step, proves that if the property holds for one natural number , then it holds for the next natural number . These two steps establish the property for every natural number The base case does not necessarily begin with . In fact, it often begins with the number one, and it can begin with any natural number, establishing the truth of the property for all natural numbers greater than or equal to the starting number.
The method can be extended to prove statements about more general well-founded structures, such as trees; this generalization, known as structural induction, is used in mathematical logic and computer science. Mathematical induction in this extended sense is closely related to recursion. Mathematical induction, in some form, is the foundation of all correctness proofs for computer programs.
Although its name may suggest otherwise, mathematical induction should not be misconstrued as a form of inductive reasoning as used in philosophy (also see Problem of induction). Mathematical induction is an inference rule used in formal proofs. Proofs by mathematical induction are, in fact, examples of deductive reasoning.
In 370 BC, Plato's Parmenides may have contained an early example of an implicit inductive proof. The earliest implicit traces of mathematical induction may be found in Euclid's proof that the number of primes is infinite and in Bhaskara's "cyclic method". An opposite iterated technique, counting down rather than up, is found in the Sorites paradox, where it was argued that if 1,000,000 grains of sand formed a heap, and removing one grain from a heap left it a heap, then a single grain of sand (or even no grains) forms a heap.
An implicit proof by mathematical induction for arithmetic sequences was introduced in the al-Fakhri written by al-Karaji around 1000 AD, who used it to prove the binomial theorem and properties of Pascal's triangle.
None of these ancient mathematicians, however, explicitly stated the induction hypothesis. Another similar case (contrary to what Vacca has written, as Freudenthal carefully showed) was that of Francesco Maurolico in his Arithmeticorum libri duo (1575), who used the technique to prove that the sum of the first n odd integers is n2. The first explicit formulation of the principle of induction was given by Pascal in his Traité du triangle arithmétique (1665). Another Frenchman, Fermat, made ample use of a related principle: indirect proof by infinite descent. The induction hypothesis was also employed by the Swiss Jakob Bernoulli, from then on it became more or less well known. The modern rigorous and systematic treatment of the principle came only in the 19th century, with George Boole, Augustus de Morgan, Charles Sanders Peirce, Giuseppe Peano, and Richard Dedekind.
The simplest and most common form of mathematical induction infers that a statement involving a natural number n (that is, an integer or 1) holds for all values of n. The proof consists of two steps:
- The initial or base case: prove that the statement holds for 0, or 1.
- The induction step, inductive step, or step case: prove that for every , if the statement holds for , then it holds for . In other words, assume that the statement holds for some arbitrary natural number , and prove that the statement holds for .
The hypothesis in the inductive step, that the statement holds for a particular , is called the induction hypothesis or inductive hypothesis. To prove the inductive step, one assumes the induction hypothesis for and then uses this assumption, involving , to prove that the statement holds for .
Authors who prefer to define natural numbers to begin at 0 use that value in the base case. Authors who prefer to define natural numbers to begin at 1 use that value in the base case.
Sum of consecutive natural numbers
Mathematical induction can be used to prove that the following statement, P(n), holds for all natural numbers n.
P(n) gives a formula for the sum of the natural numbers less than or equal to number n. The proof that P(n) is true for each natural number n proceeds as follows:
Proposition. For any ,
Proof. Let be the statement We give a proof by induction on n.
Base case: Show that the statement holds for n = 0 (taking 0 as a natural).
P(0) is easily seen to be true:
Inductive step: Show that for any that if holds, then also holds. This can be done as follows.
Assume the induction hypothesis that is true (for some arbitrary value of ). It must then be shown that is true, that is:
Using the induction hypothesis, the left-hand side can be equated to:
Algebraically, we have that:
which shows that indeed holds.
Since both the base case and the inductive step have been performed, by mathematical induction the statement P(n) holds for all natural numbers n. ∎
A trigonometric inequality
Induction is often used to prove inequalities. As an example, we prove that for any real number and natural number .
At first glance, it may appear that a more general version, for any real numbers , could be proven without induction, solely using trigonometry formulas holding for all real values of and . However, is essential: since while for negative values of , the statement is clearly false in general for negative . Moreover, taking shows that it is also false in general for non-integral values of . This suggests we confine to proving the statement specifically for natural values of , and we turn to induction in order to pass from one value of to the next in a relatively straightforward manner, starting from a trivially verifiable base case.
Proposition. For any , .
Proof. Let be a fixed, arbitrary real number and be the statement . We induct on .
Base case: The calculation verifies the truth of the base case .
Inductive step: We show that for any natural number . We use the angle addition formula and the triangle inequality , both of which hold for all real numbers . For every , assuming the truth of the induction hypothesis gives us the following chain of equalities and inequalities:
The inequality implied by the first and last lines shows that implies for every , which completes the inductive step. Thus, the proposition holds by induction. ∎
In practice, proofs by induction are often structured differently, depending on the exact nature of the property to be proven. All variants of induction are special cases of transfinite induction; see below.
Induction basis other than 0 or 1
If one wishes to prove a statement not for all natural numbers, but only for all numbers n greater than or equal to a certain number b, then the proof by induction consists of:
- Showing that the statement holds when .
- Showing that if the statement holds for an arbitrary number , then the same statement also holds for .
This can be used, for example, to show that for .
In this way, one can prove that some statement holds for all , or even for all . This form of mathematical induction is actually a special case of the previous form, because if the statement to be proved is then proving it with these two rules is equivalent with proving for all natural numbers with an induction base case .
Example: forming dollar amounts by coins
Assume an infinite supply of 4- and 5-dollar coins. Induction can be used to prove that any whole amount of dollars greater than or equal to can be formed by a combination of such coins. Let denote the statement "the amount of dollars can be formed by a combination of 4- and 5-dollar coins". The proof that is true for all can then be achieved by induction on as follows:
Base case: Showing that holds for is easy: take three 4-dollar coins.
Induction step: Given that holds for some value of (induction hypothesis), prove that holds, too:
- Assume is true for some arbitrary . If there is a solution for dollars that includes at least one 4-dollar coin, replace it by a 5-dollar coin to make dollars. Otherwise, if only 5-dollar coins are used, must be a multiple of 5 and so at least 15; but then we can replace three 5-dollar coins by four 4-dollar coins to make dollars. In each case, is true.
Therefore, by the principle of induction, holds for all , and the proof is complete.
In this example, although also holds for , the above proof cannot be modified to replace the minimum amount of dollar to any lower value . For , the base case is actually false; for , the second case in the induction step (replacing three 5- by four 4-dollar coins) will not work; let alone for even lower .
Induction on more than one counter
It is sometimes desirable to prove a statement involving two natural numbers, n and m, by iterating the induction process. That is, one proves a base case and an inductive step for n, and in each of those proves a base case and an inductive step for m. See, for example, the proof of commutativity accompanying addition of natural numbers. More complicated arguments involving three or more counters are also possible.
The method of infinite descent is a variation of mathematical induction which was used by Pierre de Fermat. It is used to show that some statement Q(n) is false for all natural numbers n. Its traditional form consists of showing that if Q(n) is true for some natural number n, it also holds for some strictly smaller natural number m. Because there are no infinite decreasing sequences of natural numbers, this situation would be impossible, thereby showing (by contradiction) that Q(n) cannot be true for any n.
The validity of this method can be verified from the usual principle of mathematical induction. Using mathematical induction on the statement P(n) defined as "Q(m) is false for all natural numbers m less than or equal to n", it follows that P(n) holds for all n, which means that Q(n) is false for every natural number n.
The most common form of proof by mathematical induction requires proving in the inductive step that
whereupon the induction principle "automates" n applications of this step in getting from P(0) to P(n). This could be called "predecessor induction" because each step proves something about a number from something about that number's predecessor.
A variant of interest in computational complexity is "prefix induction", in which one proves the following statement in the inductive step:
The induction principle then "automates" log n applications of this inference in getting from P(0) to P(n). In fact, it is called "prefix induction" because each step proves something about a number from something about the "prefix" of that number — as formed by truncating the low bit of its binary representation. It can also be viewed as an application of traditional induction on the length of that binary representation.
If traditional predecessor induction is interpreted computationally as an n-step loop, then prefix induction would correspond to a log-n-step loop. Because of that, proofs using prefix induction are "more feasibly constructive" than proofs using predecessor induction.
Predecessor induction can trivially simulate prefix induction on the same statement. Prefix induction can simulate predecessor induction, but only at the cost of making the statement more syntactically complex (adding a bounded universal quantifier), so the interesting results relating prefix induction to polynomial-time computation depend on excluding unbounded quantifiers entirely, and limiting the alternation of bounded universal and existential quantifiers allowed in the statement.
One can take the idea a step further: one must prove
whereupon the induction principle "automates" log log n applications of this inference in getting from P(0) to P(n). This form of induction has been used, analogously, to study log-time parallel computation.
Complete (strong) induction
Another variant, called complete induction, course of values induction or strong induction (in contrast to which the basic form of induction is sometimes known as weak induction), makes the inductive step easier to prove by using a stronger hypothesis: one proves the statement P(m + 1) under the assumption that P(n) holds for all natural n less than m + 1; by contrast, the basic form only assumes P(m). The name "strong induction" does not mean that this method can prove more than "weak induction", but merely refers to the stronger hypothesis used in the inductive step.
In fact, it can be shown that the two methods are actually equivalent, as explained below. In this form of complete induction one still has to prove the base case, P(0), and it may even be necessary to prove extra base cases such as P(1) before the general argument applies, as in the example below of the Fibonacci number Fn.
Although the form just described requires one to prove the base case, this is unnecessary if one can prove P(m) (assuming P(n) for all lower n) for all m ≥ 0. This is a special case of transfinite induction as described below. In this form the base case is subsumed by the case m = 0, where P(0) is proved with no other P(n) assumed; this case may need to be handled separately, but sometimes the same argument applies for m = 0 and m > 0, making the proof simpler and more elegant. In this method, however, it is vital to ensure that the proof of P(m) does not implicitly assume that m > 0, e.g. by saying "choose an arbitrary n < m", or by assuming that a set of m elements has an element.
Complete induction is equivalent to ordinary mathematical induction as described above, in the sense that a proof by one method can be transformed into a proof by the other. Suppose there is a proof of P(n) by complete induction. Let Q(n) mean "P(m) holds for all m such that 0 ≤ m ≤ n". Then Q(n) holds for all n if and only if P(n) holds for all n, and our proof of P(n) is easily transformed into a proof of Q(n) by (ordinary) induction. If, on the other hand, P(n) had been proven by ordinary induction, the proof would already effectively be one by complete induction: P(0) is proved in the base case, using no assumptions, and P(n + 1) is proved in the inductive step, in which one may assume all earlier cases but need only use the case P(n).
Example: Fibonacci numbers
Complete induction is most useful when several instances of the inductive hypothesis are required for each inductive step. For example, complete induction can be used to show that
where is the nth Fibonacci number, (the golden ratio) and are the roots of the polynomial . By using the fact that for each , the identity above can be verified by direct calculation for if one assumes that it already holds for both and . To complete the proof, the identity must be verified in the two base cases: and .
Example: prime factorization
Another proof by complete induction uses the hypothesis that the statement holds for all smaller more thoroughly. Consider the statement that "every natural number greater than 1 is a product of (one or more) prime numbers", which is the "existence" part of the fundamental theorem of arithmetic. For proving the inductive step, the induction hypothesis is that for a given the statement holds for all smaller . If is prime then it is certainly a product of primes, and if not, then by definition it is a product: , where neither of the factors is equal to 1; hence neither is equal to , and so both are greater than 1 and smaller than . The induction hypothesis now applies to and , so each one is a product of primes. Thus is a product of products of primes, and hence by extension a product of primes itself.
Example: dollar amounts revisited
We shall look to prove the same example as above, this time with strong induction. The statement remains the same:
However, there will be slight differences in the structure and the assumptions of the proof, starting with the extended base case:
Base case: Show that holds for .
The base case holds.
Induction hypothesis: Given some , assume holds for all with .
Inductive step: Prove that holds.
Choosing , and observing that shows that holds, by inductive hypothesis. That is, the sum can be formed by some combination of and dollar coins. Then, simply adding a dollar coin to that combination yields the sum . That is, holds. Q.E.D.
Sometimes, it is more convenient to deduct backwards, proving the statement for , given its validity for . However, proving the validity of the statement for no single number suffices to establish the base case; instead, one needs to prove the statement for an infinite subset of the natural numbers. For example, Augustin Louis Cauchy first used forward (regular) induction to prove the inequality of arithmetic and geometric means for all powers of 2, and then used backward induction to show it for all natural numbers.
Example of error in the inductive step
The inductive step must be proved for all values of n. To illustrate this, Joel E. Cohen proposed the following argument, which purports to prove by mathematical induction that all horses are of the same color:
- Base case: In a set of only one horse, there is only one color.
- Inductive step: Assume as induction hypothesis that within any set of horses, there is only one color. Now look at any set of horses. Number them: . Consider the sets and . Each is a set of only horses, therefore within each there is only one color. But the two sets overlap, so there must be only one color among all horses.
The base case is trivial (as any horse is the same color as itself), and the inductive step is correct in all cases . However, the logic of the inductive step is incorrect for , because the statement that "the two sets overlap" is false (there are only horses prior to either removal, and after removal the sets of one horse each do not overlap).
where P(.) is a variable for predicates involving one natural number and k and n are variables for natural numbers.
In words, the base case P(0) and the inductive step (namely, that the induction hypothesis P(k) implies P(k + 1)) together imply that P(n) for any natural number n. The axiom of induction asserts the validity of inferring that P(n) holds for any natural number n from the base case and the inductive step.
The first quantifier in the axiom ranges over predicates rather than over individual numbers. This is a second-order quantifier, which means that this axiom is stated in second-order logic. Axiomatizing arithmetic induction in first-order logic requires an axiom schema containing a separate axiom for each possible predicate. The article Peano axioms contains further discussion of this issue.
The axiom of structural induction for the natural numbers was first formulated by Peano, who used it to specify the natural numbers together with the following four other axioms:
- 0 is a natural number.
- The successor function s of every natural number yields a natural number (s(x)=x+1).
- The successor function is injective.
- 0 is not in the range of s.
may be read as a set representing a proposition, and containing natural numbers, for which the proposition holds. This is not an axiom, but a theorem, given that natural numbers are defined in the language of ZFC set theory by axioms, analogous to Peano's.
The principle of complete induction is not only valid for statements about natural numbers, but for statements about elements of any well-founded set, that is, a set with an irreflexive relation < that contains no infinite descending chains. Any set of cardinal numbers is well-founded, which includes the set of natural numbers.
Applied to a well-founded set, it can be formulated as a single step:
- Show that if some statement holds for all m < n, then the same statement also holds for n.
This form of induction, when applied to a set of ordinals (which form a well-ordered and hence well-founded class), is called transfinite induction. It is an important proof technique in set theory, topology and other fields.
Proofs by transfinite induction typically distinguish three cases:
- when n is a minimal element, i.e. there is no element smaller than n;
- when n has a direct predecessor, i.e. the set of elements which are smaller than n has a largest element;
- when n has no direct predecessor, i.e. n is a so-called limit ordinal.
Strictly speaking, it is not necessary in transfinite induction to prove a base case, because it is a vacuous special case of the proposition that if P is true of all n < m, then P is true of m. It is vacuously true precisely because there are no values of n < m that could serve as counterexamples. So the special cases are special cases of the general case.
Relationship to the well-ordering principle
The principle of mathematical induction is usually stated as an axiom of the natural numbers; see Peano axioms. It is strictly stronger than the well-ordering principle in the context of the other Peano axioms. Indeed, suppose the following:
- Every natural number is either 0, or n + 1 for some natural number n.
- For any natural number n, n + 1 is greater than n.
It can then be proved that induction, given the above listed axioms, implies the well-ordering principle.
Proof. Suppose there exists a non-empty set, S, of naturals that has no least element. Let P(n) be the assertion that n is not in S. Then P(0) is true, for if it were false then 0 is the least element of S. Furthermore, suppose P(1), P(2),..., P(n) are all true. Then if P(n+1) is false n+1 is in S, thus being a minimal element in S, a contradiction. Thus P(n+1) is true. Therefore, by the induction axiom, P(n) holds for all n, so S is empty, a contradiction.
However, the set of ordinals up to ω+ω is well-ordered and satisfies the other Peano axioms, but the induction axiom fails for this set. For example, let P(n) be the predicate "n is a ". Then P(0) is true, and P(n) implies P(n+1), but one cannot conclude P(ω), as this is false.
Peanos axioms with the induction principle uniquely model the natural numbers. Replacing the induction principle with the well-ordering principle allows for more exotic models that fulfill all the axioms.
It is mistakenly printed in several books and sources that the well-ordering principle is equivalent to the induction axiom. In the context of the other Peano axioms, this is not the case, but in the context of other axioms, they can be equivalent.
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