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Mathematical induction
Mathematical induction
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Mathematical induction can be informally illustrated by reference to the sequential effect of falling dominoes.[1][2]

Mathematical induction is a method for proving that a statement is true for every natural number , that is, that the infinitely many cases   all hold. This is done by first proving a simple case, then also showing that if we assume the claim is true for a given case, then the next case is also true. Informal metaphors help to explain this technique, such as 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.

A proof by induction consists of two cases. The first, the base case, proves the statement for without assuming any knowledge of other cases. The second case, the induction step, proves that if the statement holds for any given case , then it must also hold for the next case . These two steps establish that the statement holds for every natural number . The base case does not necessarily begin with , but often with , and possibly with any fixed natural number , establishing the truth of the statement for all natural numbers .

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 is an inference rule used in formal proofs, and is the foundation of most correctness proofs for computer programs.[3]

Despite its name, mathematical induction differs fundamentally from inductive reasoning as used in philosophy, in which the examination of many cases results in a probable conclusion. The mathematical method examines infinitely many cases to prove a general statement, but it does so by a finite chain of deductive reasoning involving the variable , which can take infinitely many values. The result is a rigorous proof of the statement, not an assertion of its probability.[4]

History

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In 370 BC, Plato's Parmenides may have contained traces of an early example of an implicit inductive proof,[5] however, the earliest implicit proof by mathematical induction was written by al-Karaji around 1000 AD, who applied it to arithmetic sequences to prove the binomial theorem and properties of Pascal's triangle. Whilst the original work was lost, it was later referenced by Al-Samawal al-Maghribi in his treatise al-Bahir fi'l-jabr (The Brilliant in Algebra) in around 1150 AD.[6][7][8]

Katz says in his history of mathematics

Another important idea introduced by al-Karaji and continued by al-Samaw'al and others was that of an inductive argument for dealing with certain arithmetic sequences. Thus al-Karaji used such an argument to prove the result on the sums of integral cubes already known to Aryabhata [...] Al-Karaji did not, however, state a general result for arbitrary n. He stated his theorem for the particular integer 10 [...] His proof, nevertheless, was clearly designed to be extendable to any other integer. [...] Al-Karaji's argument includes in essence the two basic components of a modern argument by induction, namely the truth of the statement for n = 1 (1 = 13) and the deriving of the truth for n = k from that of n = k − 1. Of course, this second component is not explicit since, in some sense, al-Karaji's argument is in reverse; this is, he starts from n = 10 and goes down to 1 rather than proceeding upward. Nevertheless, his argument in al-Fakhri is the earliest extant proof of the sum formula for integral cubes.[9]

In India, early implicit proofs by mathematical induction appear in Bhaskara's "cyclic method".[10]

None of these ancient mathematicians, however, explicitly stated the induction hypothesis. Another similar case (contrary to what Vacca has written, as Freudenthal carefully showed)[11] 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 earliest rigorous use of induction was by Gersonides (1288–1344).[12][13] 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, and from then on it became well known. The modern formal treatment of the principle came only in the 19th century, with George Boole,[14] Augustus De Morgan, Charles Sanders Peirce,[15][16] Giuseppe Peano, and Richard Dedekind.[10]

Description

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The simplest and most common form of mathematical induction infers that a statement involving a natural number n (that is, an integer n ≥ 0 or 1) holds for all values of n. The proof consists of two steps:

  1. The base case (or initial case): prove that the statement holds for 0, or 1.
  2. The induction step (or inductive step, or step case): prove that for every n, if the statement holds for n, then it holds for n + 1. In other words, assume that the statement holds for some arbitrary natural number n, and prove that the statement holds for n + 1.

The hypothesis in the induction step, that the statement holds for a particular n, is called the induction hypothesis or inductive hypothesis. To prove the induction step, one assumes the induction hypothesis for n and then uses this assumption to prove that the statement holds for n + 1.

Authors who prefer to define natural numbers to begin at 0 use that value in the base case; those who define natural numbers to begin at 1 use that value.

Examples

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Sum of consecutive natural numbers

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Mathematical induction can be used to prove the following statement for all natural numbers :

This states a general formula for the sum of the natural numbers less than or equal to a given number; in fact an infinite sequence of statements: , , , etc.

Proposition. For every , we have that

Proof. Let be the statement We give a proof by induction on .

Base case: Show that the statement holds for the smallest natural number n = 0.

is clearly true:

Induction step: Show that for every , if holds, then also holds.

Assume the induction hypothesis that for a particular , the single case holds, meaning is true: It follows that:

Algebraically, the right hand side simplifies as:

Equating the extreme left hand and right hand sides, we deduce that: That is, the statement also holds true, establishing the induction step.

Conclusion: Since both the base case and the induction step have been proved as true, by mathematical induction the statement holds for every natural number . Q.E.D.

A trigonometric inequality

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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; but the case shows it may be false for non-integer values of . This suggests we examine the statement specifically for natural values of , and induction is the readiest tool.

Proposition. For any and , .

Proof. Fix an arbitrary real number , and let be the statement . We induce on .

Base case: The calculation verifies .

Induction step: We show the implication for any natural number . Assume the induction hypothesis: for a given value , the single case is true. Using the angle addition formula and the triangle inequality, we deduce:

The inequality between the extreme left-hand and right-hand quantities shows that is true, which completes the induction step.

Conclusion: The proposition holds for all natural numbers   Q.E.D.

Variants

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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.

Base case other than 0 or 1

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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 the following:

  1. Showing that the statement holds when n = b.
  2. Showing that if the statement holds for an arbitrary number nb, then the same statement also holds for n + 1.

This can be used, for example, to show that 2nn + 5 for n ≥ 3.

In this way, one can prove that some statement P(n) holds for all n ≥ 1, or even for all n ≥ −5. This form of mathematical induction is actually a special case of the previous form, because if the statement to be proved is P(n) then proving it with these two rules is equivalent with proving P(n + b) for all natural numbers n with an induction base case 0.[17]

Example: forming dollar amounts by coins

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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 12 can be formed by a combination of such coins. Let S(k) denote the statement "k dollars can be formed by a combination of 4- and 5-dollar coins". The proof that S(k) is true for all k ≥ 12 can then be achieved by induction on k as follows:

Base case: Showing that S(k) holds for k = 12 is simple: take three 4-dollar coins.

Induction step: Given that S(k) holds for some value of k ≥ 12 (induction hypothesis), prove that S(k + 1) holds, too. Assume S(k) is true for some arbitrary k ≥ 12. If there is a solution for k dollars that includes at least one 4-dollar coin, replace it by a 5-dollar coin to make k + 1 dollars. Otherwise, if only 5-dollar coins are used, k 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 k + 1 dollars. In each case, S(k + 1) is true.

Therefore, by the principle of induction, S(k) holds for all k ≥ 12, and the proof is complete.

In this example, although S(k) also holds for , the above proof cannot be modified to replace the minimum amount of 12 dollar to any lower value m. For m = 11, the base case is actually false; for m = 10, the second case in the induction step (replacing three 5- by four 4-dollar coins) will not work; let alone for even lower m.

Induction on more than one counter

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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 induction step for n, and in each of those proves a base case and an induction 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.

Infinite descent

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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.

Limited mathematical induction

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If one wishes to prove that a property P holds for all natural numbers less than or equal to a fixed N, proving that P satisfies the following conditions suffices:[18]

  1. P holds for 0,
  2. For any natural number x less than N, if P holds for x, then P holds for x + 1

Prefix induction

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The most common form of proof by mathematical induction requires proving in the induction 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 induction step: or equivalently

The induction principle then "automates" log2n 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.[19]

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.[citation needed]

Complete (strong) induction

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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 induction step easier to prove by using a stronger hypothesis: one proves the statement under the assumption that holds for all natural numbers less than ; by contrast, the basic form only assumes . 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 induction 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, , and it may even be necessary to prove extra-base cases such as before the general argument applies, as in the example below of the Fibonacci number .

Although the form just described requires one to prove the base case, this is unnecessary if one can prove (assuming for all lower ) for all . This is a special case of transfinite induction as described below, although it is no longer equivalent to ordinary induction. In this form the base case is subsumed by the case , where is proved with no other assumed; this case may need to be handled separately, but sometimes the same argument applies for and , making the proof simpler and more elegant. In this method, however, it is vital to ensure that the proof of does not implicitly assume that , e.g. by saying "choose an arbitrary ", or by assuming that a set of m elements has an element.

Equivalence with ordinary induction

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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 by complete induction. Then, this proof can be transformed into an ordinary induction proof by assuming a stronger inductive hypothesis. Let be the statement " holds for all such that "—this becomes the inductive hypothesis for ordinary induction. We can then show and for assuming only and show that implies .[20]

If, on the other hand, had been proven by ordinary induction, the proof would already effectively be one by complete induction: is proved in the base case, using no assumptions, and is proved in the induction step, in which one may assume all earlier cases but need only use the case .

Example: Fibonacci numbers

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Complete induction is most useful when several instances of the inductive hypothesis are required for each induction step. For example, complete induction can be used to show that where is the n-th Fibonacci number, and (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

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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 induction 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

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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.

Proof.

Base case: Show that holds for .

The base case holds.

Induction step: Given some , assume holds for all with . Prove that holds.

Choosing , and observing that shows that holds, by the 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[21] Q.E.D.

Forward-backward induction

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Sometimes, it is more convenient to deduce 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 backwards induction to show it for all natural numbers.[22][23]

Example of error in the induction step

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The induction 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:[24]

Base case: in a set of only one horse, there is only one color.

Induction 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, and the induction step is correct in all cases . However, the argument used in the induction step is incorrect for , because the statement that "the two sets overlap" is false for and .

Formalization

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In second-order logic, one can write down the "axiom of induction" as follows: 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 induction 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 induction 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:

  1. 0 is a natural number.
  2. The successor function s of every natural number yields a natural number (s(x) = x + 1).
  3. The successor function is injective.
  4. 0 is not in the range of s.

In first-order ZFC set theory, quantification over predicates is not allowed, but one can still express induction by quantification over sets: A 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. See construction of the natural numbers using the axiom of infinity and axiom schema of specification.

Transfinite induction

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One variation of the principle of complete induction can be generalized for statements about elements of any well-founded set, that is, a set with an irreflexive relation < that contains no infinite descending chains. Every set representing an ordinal number is well-founded, the set of natural numbers is one of them.

Applied to a well-founded set, transfinite induction can be formulated as a single step. To prove that a statement P(n) holds for each ordinal number:

  1. Show, for each ordinal number n, that if P(m) holds for all m < n, then P(n) also holds.

This form of induction, when applied to a set of ordinal numbers (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:

  1. when n is a minimal element, i.e. there is no element smaller than n;
  2. when n has a direct predecessor, i.e. the set of elements which are smaller than n has a largest element;
  3. 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

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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. Suppose the following:

  • The trichotomy axiom: For any natural numbers n and m, n is less than or equal to m if and only if m is not less than n.
  • For any natural number n, n + 1 is greater than n.
  • For any natural number n, no natural number is between n and n + 1.
  • No natural number is less than zero.

It can then be proved that induction, given the above-listed axioms, implies the well-ordering principle. The following proof uses complete induction and the first and fourth axioms.

Proof. Suppose there exists a non-empty set, S, of natural numbers 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, let n be a natural number, and suppose P(m) is true for all natural numbers m less than n + 1. 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 complete induction principle, P(n) holds for all natural numbers n; so S is empty, a contradiction. Q.E.D.

"Number line" for the set {(0, n): nN}{(1, n): nN}. Numbers refer to the second component of pairs; the first can be obtained from color or location.

On the other hand, the set , shown in the picture, is well-ordered[25]: 35lf  by the lexicographic order. Moreover, except for the induction axiom, it satisfies all Peano axioms, where Peano's constant 0 is interpreted as the pair (0, 0), and Peano's successor function is defined on pairs by succ(x, n) = (x, n + 1) for all and . As an example for the violation of the induction axiom, define the predicate P(x, n) as (x, n) = (0, 0) or (x, n) = succ(y, m) for some and . Then the base case P(0, 0) is trivially true, and so is the induction step: if P(x, n), then P(succ(x, n)). However, P is not true for all pairs in the set, since P(1,0) is false.

Peano's 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.[25]

It is mistakenly printed in several books[25] 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 are equivalent;[25] specifically, the well-ordering principle implies the induction axiom in the context of the first two above listed axioms and

  • Every natural number is either 0 or n + 1 for some natural number n.

A common mistake in many erroneous proofs is to assume that n − 1 is a unique and well-defined natural number, a property which is not implied by the other Peano axioms.[25]

See also

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Notes

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References

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
Mathematical induction is a rigorous proof technique in used to verify that a property holds for all s or an infinite sequence starting from a base value. It operates on the principle that if a statement P(n)—where n is a —is true for an initial value (the base case, often n = 0 or n = 1), and if the assumption that P(k) is true implies that P(k + 1) is also true for any k ≥ base value (the inductive step), then P(n) holds for every n. This method leverages the well-ordered nature of the , ensuring no gaps in the sequence once the base and step are established. The roots of mathematical induction trace back to ancient mathematics, with implicit applications appearing in Euclid's Elements around 300 BCE, notably in Book IX, Proposition 20, which proves the infinitude of prime numbers by contradiction, assuming a finite list of primes and constructing a new prime not in the list, containing implicit traces of inductive reasoning. Similar inductive reasoning is evident in earlier works, such as Plato's Parmenides (circa 370 BCE), and in Indian mathematics by Bhāskara II in the 12th century. By the 17th century, Pierre de Fermat employed a form of induction in number theory proofs, marking a more systematic use, while Francesco Maurolico in 1575 provided one of the earliest explicit formulations in his work on arithmetic progressions. The modern axiomatic foundation was solidified by Giuseppe Peano in his 1889 axioms for the natural numbers, where the fifth axiom explicitly incorporates the induction principle to define the set of natural numbers. Mathematical induction finds broad applications across pure and applied mathematics, particularly in for proving divisibility, inequalities, and summation formulas, such as the sum of the first n natural numbers being n(n + 1)/2. In , it underpins correctness proofs for recursive algorithms, loop invariants, and data structures like trees and graphs, enabling verification of properties in programs and protocols. Variants, including strong induction (assuming all prior cases up to k) and (for recursively defined sets), extend its utility to more complex domains like formal logic and .

Fundamentals

Principle Statement

Mathematical induction is a fundamental proof technique in mathematics used to establish that a given property holds for all natural numbers. The natural numbers, denoted N\mathbb{N}, are typically defined to include 0 as the starting point, though some formulations begin at 1; the principle adapts accordingly without loss of generality. This method relies on the ordered structure of the natural numbers, as axiomatized by the Peano axioms, which introduce a successor function to generate each subsequent number from the previous one. The formal statement of the principle is as follows: Let P(n)P(n) be a property or statement depending on the nNn \in \mathbb{N}. If P(0)P(0) holds (the base case), and if for every k0k \geq 0, the truth of P(k)P(k) implies the truth of P(k+1)P(k+1) (the inductive step), then P(n)P(n) holds for all n0n \geq 0. This derives its validity from the fifth Peano , known as the induction , which asserts that any SNS \subseteq \mathbb{N} containing 0 and closed under the —if kSk \in S then k+1Sk+1 \in S—must equal all of N\mathbb{N}. To see why induction works, suppose P(n)P(n) satisfies the base case and inductive step; then the set {nNP(n)}\{n \in \mathbb{N} \mid P(n)\} contains 0 and is closed under succession, hence includes every by the induction . This exploits the 's role in constructing N\mathbb{N} without gaps, ensuring every is finitely reachable from 0 via successive applications.

Proof Structure

Mathematical induction proofs follow a rigorous, four-step structure designed to verify that a predicate holds for all starting from a base value. This method leverages the well-ordering property of the natural numbers to ensure completeness. The statement to be proven is typically denoted as P(n)P(n), where nn is a natural number, with the objective of establishing nN,P(n)\forall n \in \mathbb{N}, P(n). The process begins with the base case, where P(b)P(b) is explicitly verified for the initial value bb (often 0 or 1, depending on the domain of nn). This step confirms the statement's truth at the starting point. Next, the inductive hypothesis assumes that P(k)P(k) holds true for some arbitrary kbk \geq b. This assumption serves as the foundation for the subsequent step. In the inductive step, one must then prove that P(k+1)P(k+1) is true, utilizing the inductive hypothesis to derive the result; here, substituting n=k+1n = k+1 often clarifies the alignment with the original predicate P(n)P(n). It is essential that the hypothesis is applied meaningfully, rather than trivially, to bridge from kk to k+1k+1, avoiding . Finally, the conclusion invokes the principle of mathematical induction to assert that, since the base case holds and the inductive step preserves truth, P(n)P(n) is valid for all nbn \geq b. While base cases may vary for non-standard domains, the core structure remains consistent.

Historical Context

Ancient Origins

The roots of in trace back to ancient civilizations, where mathematicians employed intuitive methods of and infinite ascent without formalizing the principle. In , Euclid's Elements (c. 300 BCE) contains early examples of implicit induction, particularly in geometric and number-theoretic propositions. For instance, Proposition 20 in Book IX demonstrates the infinitude of prime numbers by assuming a finite list of primes, constructing a new number from their product plus one, and arguing that it must introduce a new prime, effectively using a form of infinite ascent to show no such finite list can be complete. This proof, while not explicitly inductive, relies on generalizing from finite cases to an infinite conclusion, a technique echoed in other parts of Euclid's work on divisibility and geometric progressions. In ancient , similar intuitive generalizations appear in the study of combinatorial patterns. Pingala's Chandaḥśāstra (c. 200 BCE), a on , presents recursive methods for computing the number of poetic meters, implying a step-by-step verification of patterns across increasing lengths of meters, akin to inductive generalization. The construction of what is now recognized as (meru-prastāra) for binomial coefficients appears in later commentaries on Pingala's work, such as that by Halāyudha (c. 10th century CE). Such approaches facilitated the handling of infinite possibilities in finite structures without a named . Across other and Hellenistic contexts, mathematicians applied repeated verification in proofs involving infinite series and divisibility, though no explicit inductive existed. For example, (c. 287–212 BCE) used the in works like to approximate areas by inscribing and circumscribing polygons with increasing sides, implicitly inducting toward a limit without embracing actual infinity. These techniques, focused on rigorous but informal escalation, laid groundwork for later formalization by demonstrating the power of stepwise generalization in establishing universal properties.

Modern Formalization

The formalization of as a rigorous proof technique emerged in the , marking a shift toward axiomatic in . This development addressed the need for precise methods to establish properties of the natural numbers, distinguishing induction from empirical generalization and integrating it into the logical structure of arithmetic. Earlier explicit uses, such as by Francesco Maurolico in his Arithmeticorum libri duo (1575), provided foundational formulations in proofs of formulas, bridging ancient intuitive methods to modern rigor. Augustus De Morgan played a pivotal role in explicitly articulating the principle during the 1830s. In his 1838 article "Induction (Mathematics)" for the Penny Cyclopaedia, De Morgan defined mathematical induction as a method for proving universal statements over the natural numbers, stating that if a holds for the first number and the truth of the for all numbers up to a given number implies its truth for the next number, then it holds for all natural numbers. This formulation emphasized the deductive nature of induction, separating it from probabilistic reasoning in the sciences and establishing it as a cornerstone of . Building on such efforts, Giuseppe Peano advanced the formalization by embedding induction within an axiomatic framework for the natural numbers. In his 1889 work Arithmetices principia, nova methodo exposita, Peano presented five axioms defining the natural numbers ℕ, with the fifth being the induction schema: if a property P holds for 0 (or 1, depending on the formulation) and whenever P holds for n it holds for the successor n+1, then P holds for all natural numbers. This schema ensures the completeness of the axiomatic system, allowing inductive proofs to rigorously establish properties across all of ℕ without gaps or exceptions. These advancements influenced subsequent developments in and . The principle of permanence of equivalent forms, articulated by George Peacock in 1830, asserted that certain algebraic relations valid for finite cases extend invariantly to infinite or generalized forms, often proven via inductive arguments that prefigured set-theoretic constructions of number systems. Peano's axioms, in particular, became foundational for Richard Dedekind's and later set-theoretic definitions of natural numbers, enabling the embedding of arithmetic within broader formal systems.

Basic Applications

Summation Formulas

One of the most classic applications of mathematical induction is in deriving formulas for sequences of natural numbers, particularly the formula for the sum of the first nn positive integers. This example illustrates how induction verifies that a proposed holds for all natural numbers n1n \geq 1. The statement to prove is: k=1nk=n(n+1)2.\sum_{k=1}^n k = \frac{n(n+1)}{2}. This , often attributed to early arithmetic traditions but rigorously established via induction in modern proofs, provides a foundational tool in and . To prove this using mathematical induction, first verify the base case for n=1n=1. The left side is k=11k=1\sum_{k=1}^1 k = 1, and the right side is 1(1+1)2=1\frac{1(1+1)}{2} = 1. Thus, the base case holds. For the inductive step, assume the statement is true for some positive k1k \geq 1, that is, m=1km=k(k+1)2.\sum_{m=1}^k m = \frac{k(k+1)}{2}. Now prove it for k+1k+1: m=1k+1m=m=1km+(k+1)=k(k+1)2+(k+1).\sum_{m=1}^{k+1} m = \sum_{m=1}^k m + (k+1) = \frac{k(k+1)}{2} + (k+1). Factor out the common term: k(k+1)2+(k+1)=(k+1)(k2+1)=(k+1)(k+22)=(k+1)(k+2)2.\frac{k(k+1)}{2} + (k+1) = (k+1) \left( \frac{k}{2} + 1 \right) = (k+1) \left( \frac{k + 2}{2} \right) = \frac{(k+1)(k+2)}{2}. This matches the formula for n=k+1n = k+1. By the principle of mathematical induction, the formula holds for all natural numbers n1n \geq 1.

Inequality Demonstrations

Mathematical induction extends beyond proving equalities to establishing inequalities, particularly those arising in trigonometric contexts where recursive angle multiplications introduce bounds on function growth. A representative example is the inequality sin(nx)nsinx|\sin(nx)| \leq n |\sin x| for all real xx and all positive integers nn. This result provides an upper bound on the multiple-angle sine function, which is valuable in areas such as and approximation theory for controlling oscillations. The proof relies on the principle of mathematical induction applied to the positive nn. For the base case n=1n = 1, sinx1sinx|\sin x| \leq 1 \cdot |\sin x| holds trivially with equality. Assume the statement is true for some positive kk, that is, the inductive states sin(kx)ksinx|\sin(kx)| \leq k |\sin x|. For the inductive step, consider n=k+1n = k + 1. Employ the sine : sin((k+1)x)=sin(kx)cosx+cos(kx)sinx.\sin((k+1)x) = \sin(kx) \cos x + \cos(kx) \sin x. Taking absolute values yields sin((k+1)x)sin(kx)cosx+cos(kx)sinx.|\sin((k+1)x)| \leq |\sin(kx)| \cdot |\cos x| + |\cos(kx)| \cdot |\sin x|. Substituting the inductive hypothesis and the fact that cos(kx)1|\cos(kx)| \leq 1, sin((k+1)x)ksinxcosx+1sinx=sinx(kcosx+1).|\sin((k+1)x)| \leq k |\sin x| \cdot |\cos x| + 1 \cdot |\sin x| = |\sin x| (k |\cos x| + 1). Since cosx1|\cos x| \leq 1, it follows that kcosx+1k1+1=k+1k |\cos x| + 1 \leq k \cdot 1 + 1 = k + 1, so sin((k+1)x)(k+1)sinx.|\sin((k+1)x)| \leq (k+1) |\sin x|. Thus, by the principle of mathematical induction, the inequality holds for all positive integers nn. This proof highlights induction's role in inequalities: the recursive nature of the addition formula allows bounding the next term using the and a simple inequality like cosy1|\cos y| \leq 1, demonstrating how induction manages cumulative growth in trigonometric expressions without requiring exact closed forms. Similar techniques apply to bounding sums or products involving sines and cosines, underscoring induction's versatility for non-equality statements in .

Induction Variants

Strong Induction

Strong induction, also known as complete induction or course-of-values induction, is a proof technique used to establish that a property P(n)P(n) holds for all natural numbers nn greater than or equal to some base value, typically 0 or 1. The method consists of two parts: first, verify the base case P(0)P(0) (or the initial cases); second, for any n>0n > 0, assume P(m)P(m) holds for all m<nm < n (the strong inductive hypothesis), and use this to prove P(n)P(n). This contrasts with simple (or weak) induction, which only assumes P(n1)P(n-1) to prove P(n)P(n). Strong induction is logically equivalent to simple induction over the natural numbers. Any proposition provable by strong induction can also be proved by simple induction, possibly by introducing auxiliary propositions that bridge the gap in the inductive step; conversely, simple induction implies strong induction, as the stronger hypothesis includes the weaker one. This equivalence ensures that strong induction does not extend the class of provable statements beyond what simple induction achieves, but it often simplifies proofs involving recursive definitions that depend on multiple prior values. A classic application of strong induction is proving bounds on the Fibonacci sequence, defined by F1=1F_1 = 1, F2=1F_2 = 1, and Fn=Fn1+Fn2F_n = F_{n-1} + F_{n-2} for n>2n > 2. To show Fn<2nF_n < 2^n for all n1n \geq 1, verify the base cases: F1=1<21F_1 = 1 < 2^1 and F2=1<22=4F_2 = 1 < 2^2 = 4. For the inductive step, assume Fk<2kF_k < 2^k for all k<nk < n where n>2n > 2. Then, Fn=Fn1+Fn2<2n1+2n2=2n2(2+1)=32n2.F_n = F_{n-1} + F_{n-2} < 2^{n-1} + 2^{n-2} = 2^{n-2}(2 + 1) = 3 \cdot 2^{n-2}. Since 3<43 < 4, it follows that 32n2<42n2=2n3 \cdot 2^{n-2} < 4 \cdot 2^{n-2} = 2^n, so Fn<2nF_n < 2^n. By strong induction, the inequality holds for all n1n \geq 1. Strong induction also underpins the proof of the fundamental theorem of arithmetic, which states that every integer n>1n > 1 has a unique prime factorization (up to ordering of factors). For , let P(n)P(n) be "nn has a prime factorization." The base case holds for primes (n=pn = p). For n>1n > 1 composite, write n=abn = ab with 1<a,b<n1 < a, b < n; by the strong hypothesis, aa and bb have prime factorizations, so nn does. For uniqueness, assume two factorizations n=p1e1pkek=q1f1qmfmn = p_1^{e_1} \cdots p_k^{e_k} = q_1^{f_1} \cdots q_m^{f_m}. Without loss of generality, let p1p_1 be the smallest prime dividing nn, so p1=q1p_1 = q_1. Dividing by p1min(e1,f1)p_1^{\min(e_1, f_1)} yields quotients less than nn, which by the strong hypothesis have unique factorizations, implying the original ones match. Thus, uniqueness holds for all n>1n > 1.

Multiple Induction

Multiple induction, also referred to as double induction or induction on multiple variables, extends the principle of mathematical induction to statements parameterized by two or more natural numbers, such as a property P(m,n)P(m, n) holding for all natural numbers mm and nn. This technique is essential for proving results in areas like , , and algorithm analysis involving multi-dimensional structures, such as grids or recursive sequences with multiple indices. The method establishes a on the parameter space to ensure every pair (m,n)(m, n) has predecessors. Common orderings include the lexicographical order, where (m,n)<(m,n)(m, n) < (m', n') if m<mm < m' or if m=mm = m' and n<nn < n', or the diagonal order by the sum m+nm + n. The base cases are verified for the minimal elements, typically (1,1)(1, 1) or (0,0)(0, 0) depending on the domain of natural numbers used. In the inductive step, assume P(k,l)P(k, l) holds for all pairs (k,l)<(m,n)(k, l) < (m, n) in the ordering (the strong induction hypothesis over previous pairs); then prove P(m,n)P(m, n). In practice, this is often executed as nested induction: induct on one variable (say mm), treating the other (nn) as fixed, while invoking the hypothesis for all smaller values of the fixed variable. A concrete illustration is proving the inequality (m+1)n>mn(m + 1)^n > m^n for all integers m1m \geq 1 and n1n \geq 1. Let P(m,n)P(m, n) denote this inequality. For the base case with m=1m = 1 and n=1n = 1, 21=2>1=112^1 = 2 > 1 = 1^1 holds. Proceed by induction on nn for fixed m=1m = 1: assume (1+1)k>1k(1 + 1)^k > 1^k for knk \leq n, then (2)n+1=22n>21n=2>1n+1(2)^{n+1} = 2 \cdot 2^n > 2 \cdot 1^n = 2 > 1^{n+1}, which follows since 2n>1n2^n > 1^n by the hypothesis. Now induct on mm: assume P(j,n)P(j, n) holds for all j<mj < m and all n1n \geq 1. For fixed mm, induct on nn: the base n=1n=1 gives (m+1)1=m+1>m=m1(m+1)^1 = m+1 > m = m^1. Assume for nn, then (m+1)n+1=(m+1)n(m+1)>mn(m+1)(m+1)^{n+1} = (m+1)^n (m+1) > m^n (m+1). Since m+1>mm+1 > m, mn(m+1)>mnm=mn+1m^n (m+1) > m^n \cdot m = m^{n+1}, completing the inner induction; the outer relies on prior mm values implicitly through the structure. A mathematical variant employs double induction to establish recursive identities for binomial coefficients, central to the . Consider proving that (n+kk)=(n+k1k1)+(n+k1k)\binom{n+k}{k} = \binom{n+k-1}{k-1} + \binom{n+k-1}{k} for non-negative integers n,k0n, k \geq 0, which embodies Pascal's identity in shifted indices. Let Q(n,k)Q(n, k) be this equality. Base cases: for n=0n=0, (kk)=1=(k1k1)+(k1k)\binom{k}{k} = 1 = \binom{k-1}{k-1} + \binom{k-1}{k} (noting (k1k)=0\binom{k-1}{k} = 0); similarly for k=0k=0, (n0)=1=1+0\binom{n}{0} = 1 = 1 + 0. Induct on nn for fixed kk: assume Q(j,k)Q(j, k) for j<nj < n; but the relation follows algebraically from the definition of binomial coefficients via factorials or falling factorials. Alternatively, interpret combinatorially as paths in an n×kn \times k grid: the number of paths to (n,k)(n, k) equals those via (n1,k)(n-1, k) plus those via (n,k1)(n, k-1), and by nested induction on nn (assuming for smaller nn and all kk), equate to (n+kk)\binom{n+k}{k}. This leverages the hypothesis on previous grid dimensions.

Infinite Descent

Infinite descent is a proof technique in number theory that demonstrates the non-existence of solutions to certain equations or statements by contradiction, leveraging the well-ordering of the natural numbers. The method assumes the existence of a positive integer counterexample and shows that this implies the existence of a smaller positive integer counterexample, leading to an infinite decreasing sequence of positive integers, which is impossible since no such infinite descent exists in the well-ordered set of natural numbers. This approach is particularly useful for Diophantine equations where direct proofs are challenging. Formally, suppose a property P(n)P(n) holds for all natural numbers nn except possibly some minimal n0n_0 where P(n0)P(n_0) is false. Infinite descent argues that if P(n0)P(n_0) fails, then there exists m<n0m < n_0 such that P(m)P(m) also fails. Repeating this process yields an infinite sequence n0>m1>m2>n_0 > m_1 > m_2 > \cdots of natural numbers, contradicting the . Thus, no such counterexample exists, and P(n)P(n) holds for all nn. This method is equivalent to mathematical induction but operates in the "downward" direction, serving as its dual: while induction builds from a base case upward, descent dismantles assumptions downward to absurdity. A classic application is Pierre de Fermat's proof of the irrationality of 2\sqrt{2}
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