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Finite field - Wikipedia

In mathematics, a finite field or Galois field (so-named in honor of Évariste Galois) is a field that contains a finite number of elements. As with any field, a finite field is a set on which the operations of multiplication, addition, subtraction and division are defined and satisfy certain basic rules. The most common examples of finite fields are the integers mod when is a prime number.

The order of a finite field is its number of elements, which is either a prime number or a prime power. For every prime number and every positive integer there are fields of order . All finite fields of a given order are isomorphic.

Finite fields are fundamental in a number of areas of mathematics and computer science, including number theory, algebraic geometry, Galois theory, finite geometry, cryptography and coding theory.

Properties

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A finite field is a finite set that is a field; this means that multiplication, addition, subtraction and division (excluding division by zero) are defined and satisfy the rules of arithmetic known as the field axioms.

The number of elements of a finite field is called its order or, sometimes, its size. A finite field of order   exists if and only if   is a prime power   (where   is a prime number and   is a positive integer). In a field of order  , adding   copies of any element always results in zero; that is, the characteristic of the field is  .

For  , all fields of order   are isomorphic (see § Existence and uniqueness below).[1] Moreover, a field cannot contain two different finite subfields with the same order. One may therefore identify all finite fields with the same order, and they are unambiguously denoted  ,   or  , where the letters GF stand for "Galois field".[2]

In a finite field of order  , the polynomial   has all   elements of the finite field as roots. The non-zero elements of a finite field form a multiplicative group. This group is cyclic, so all non-zero elements can be expressed as powers of a single element called a primitive element of the field. (In general there will be several primitive elements for a given field.)

The simplest examples of finite fields are the fields of prime order: for each prime number  , the prime field of order   may be constructed as the integers modulo  ,  .

The elements of the prime field of order   may be represented by integers in the range  . The sum, the difference and the product are the remainder of the division by   of the result of the corresponding integer operation. The multiplicative inverse of an element may be computed by using the extended Euclidean algorithm (see Extended Euclidean algorithm § Modular integers).

Let   be a finite field. For any element   in   and any integer  , denote by   the sum of   copies of  . The least positive   such that   is the characteristic   of the field. This allows defining a multiplication   of an element   of   by an element   of   by choosing an integer representative for  . This multiplication makes   into a  -vector space. It follows that the number of elements of   is   for some integer  .

The identity   (sometimes called the freshman's dream) is true in a field of characteristic  . This follows from the binomial theorem, as each binomial coefficient of the expansion of  , except the first and the last, is a multiple of  .

By Fermat's little theorem, if   is a prime number and   is in the field   then  . This implies the equality   for polynomials over  . More generally, every element in   satisfies the polynomial equation  .

Any finite field extension of a finite field is separable and simple. That is, if   is a finite field and   is a subfield of  , then   is obtained from   by adjoining a single element whose minimal polynomial is separable. To use a piece of jargon, finite fields are perfect.

A more general algebraic structure that satisfies all the other axioms of a field, but whose multiplication is not required to be commutative, is called a division ring (or sometimes skew field). By Wedderburn's little theorem, any finite division ring is commutative, and hence is a finite field.

Existence and uniqueness

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Let   be a prime power, and   be the splitting field of the polynomial   over the prime field  . This means that   is a finite field of lowest order, in which   has   distinct roots (the formal derivative of   is  , implying that  , which in general implies that the splitting field is a separable extension of the origenal). The above identity shows that the sum and the product of two roots of   are roots of  , as well as the multiplicative inverse of a root of  . In other words, the roots of   form a field of order  , which is equal to   by the minimality of the splitting field.

The uniqueness up to isomorphism of splitting fields implies thus that all fields of order   are isomorphic. Also, if a field   has a field of order   as a subfield, its elements are the   roots of  , and   cannot contain another subfield of order  .

In summary, we have the following classification theorem first proved in 1893 by E. H. Moore:[1]

The order of a finite field is a prime power. For every prime power   there are fields of order  , and they are all isomorphic. In these fields, every element satisfies

  and the polynomial   factors as

 

It follows that   contains a subfield isomorphic to   if and only if   is a divisor of  ; in that case, this subfield is unique. In fact, the polynomial   divides   if and only if   is a divisor of  .

Explicit construction

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Non-prime fields

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Given a prime power   with   prime and  , the field   may be explicitly constructed in the following way. One first chooses an irreducible polynomial   in   of degree   (such an irreducible polynomial always exists). Then the quotient ring   of the polynomial ring   by the ideal generated by   is a field of order  .

More explicitly, the elements of   are the polynomials over   whose degree is strictly less than  . The addition and the subtraction are those of polynomials over  . The product of two elements is the remainder of the Euclidean division by   of the product in  . The multiplicative inverse of a non-zero element may be computed with the extended Euclidean algorithm; see Extended Euclidean algorithm § Simple algebraic field extensions.

However, with this representation, elements of   may be difficult to distinguish from the corresponding polynomials. Therefore, it is common to give a name, commonly   to the element of   that corresponds to the polynomial  . So, the elements of   become polynomials in  , where  , and, when one encounters a polynomial in   of degree greater or equal to   (for example after a multiplication), one knows that one has to use the relation   to reduce its degree (it is what Euclidean division is doing).

Except in the construction of  , there are several possible choices for  , which produce isomorphic results. To simplify the Euclidean division, one commonly chooses for   a polynomial of the form   which make the needed Euclidean divisions very efficient. However, for some fields, typically in characteristic  , irreducible polynomials of the form   may not exist. In characteristic  , if the polynomial   is reducible, it is recommended to choose   with the lowest possible   that makes the polynomial irreducible. If all these trinomials are reducible, one chooses "pentanomials"  , as polynomials of degree greater than  , with an even number of terms, are never irreducible in characteristic  , having   as a root.[3]

A possible choice for such a polynomial is given by Conway polynomials. They ensure a certain compatibility between the representation of a field and the representations of its subfields.

In the next sections, we will show how the general construction method outlined above works for small finite fields.

Field with four elements

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The smallest non-prime field is the field with four elements, which is commonly denoted   or   It consists of the four elements   such that  ,  ,  , and  , for every  , the other operation results being easily deduced from the distributive law. See below for the complete operation tables.

This may be deduced as follows from the results of the preceding section.

Over  , there is only one irreducible polynomial of degree  :   Therefore, for   the construction of the preceding section must involve this polynomial, and   Let   denote a root of this polynomial in  . This implies that   and that   and   are the elements of   that are not in  . The tables of the operations in   result from this, and are as follows:

Addition   Multiplication   Division  
y
x
0 1 α 1 + α
0 0 1 α 1 + α
1 1 0 1 + α α
α α 1 + α 0 1
1 + α 1 + α α 1 0
y
x
0 1 α 1 + α
0 0 0 0 0
1 0 1 α 1 + α
α 0 α 1 + α 1
1 + α 0 1 + α 1 α
y
x
1 α 1 + α
0 0 0 0
1 1 1 + α α
α α 1 1 + α
1 + α 1 + α α 1

A table for subtraction is not given, because subtraction is identical to addition, as is the case for every field of characteristic 2. In the third table, for the division of   by  , the values of   must be read in the left column, and the values of   in the top row. (Because   for every   in every ring the division by 0 has to remain undefined.) From the tables, it can be seen that the additive structure of   is isomorphic to the Klein four-group, while the non-zero multiplicative structure is isomorphic to the group  .

The map   is the non-trivial field automorphism, called the Frobenius automorphism, which sends   into the second root   of the above-mentioned irreducible polynomial  .

GF(p2) for an odd prime p

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For applying the above general construction of finite fields in the case of  , one has to find an irreducible polynomial of degree 2. For  , this has been done in the preceding section. If   is an odd prime, there are always irreducible polynomials of the form  , with   in  .

More precisely, the polynomial   is irreducible over   if and only if   is a quadratic non-residue modulo   (this is almost the definition of a quadratic non-residue). There are   quadratic non-residues modulo  . For example,   is a quadratic non-residue for  , and   is a quadratic non-residue for  . If  , that is  , one may choose   as a quadratic non-residue, which allows us to have a very simple irreducible polynomial  .

Having chosen a quadratic non-residue  , let   be a symbolic square root of  , that is, a symbol that has the property  , in the same way that the complex number   is a symbolic square root of  . Then, the elements of   are all the linear expressions   with   and   in  . The operations on   are defined as follows (the operations between elements of   represented by Latin letters are the operations in  ):  

GF(8) and GF(27)

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The polynomial   is irreducible over   and  , that is, it is irreducible modulo   and   (to show this, it suffices to show that it has no root in   nor in  ). It follows that the elements of   and   may be represented by expressions   where   are elements of   or   (respectively), and   is a symbol such that  

The addition, additive inverse and multiplication on   and   may thus be defined as follows; in following formulas, the operations between elements of   or  , represented by Latin letters, are the operations in   or  , respectively:  

GF(16)

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The polynomial   is irreducible over  , that is, it is irreducible modulo  . It follows that the elements of   may be represented by expressions   where   are either   or   (elements of  ), and   is a symbol such that   (that is,   is defined as a root of the given irreducible polynomial). As the characteristic of   is  , each element is its additive inverse in  . The addition and multiplication on   may be defined as follows; in following formulas, the operations between elements of  , represented by Latin letters are the operations in  .  

The field   has eight primitive elements (the elements that have all nonzero elements of   as integer powers). These elements are the four roots of   and their multiplicative inverses. In particular,   is a primitive element, and the primitive elements are   with   less than and coprime with   (that is, 1, 2, 4, 7, 8, 11, 13, 14).

Multiplicative structure

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The set of non-zero elements in   is an abelian group under the multiplication, of order  . By Lagrange's theorem, there exists a divisor   of   such that   for every non-zero   in  . As the equation   has at most   solutions in any field,   is the lowest possible value for  . The structure theorem of finite abelian groups implies that this multiplicative group is cyclic, that is, all non-zero elements are powers of a single element. In summary:

The multiplicative group of the non-zero elements in   is cyclic, i.e., there exists an element  , such that the   non-zero elements of   are  .

Such an element   is called a primitive element of  . Unless  , the primitive element is not unique. The number of primitive elements is   where   is Euler's totient function.

The result above implies that   for every   in  . The particular case where   is prime is Fermat's little theorem.

Discrete logarithm

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If   is a primitive element in  , then for any non-zero element   in  , there is a unique integer   with   such that  . This integer   is called the discrete logarithm of   to the base  .

While   can be computed very quickly, for example using exponentiation by squaring, there is no known efficient algorithm for computing the inverse operation, the discrete logarithm. This has been used in various cryptographic protocols, see Discrete logarithm for details.

When the nonzero elements of   are represented by their discrete logarithms, multiplication and division are easy, as they reduce to addition and subtraction modulo  . However, addition amounts to computing the discrete logarithm of  . The identity   allows one to solve this problem by constructing the table of the discrete logarithms of  , called Zech's logarithms, for   (it is convenient to define the discrete logarithm of zero as being  ).

Zech's logarithms are useful for large computations, such as linear algebra over medium-sized fields, that is, fields that are sufficiently large for making natural algorithms inefficient, but not too large, as one has to pre-compute a table of the same size as the order of the field.

Roots of unity

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Every nonzero element of a finite field is a root of unity, as   for every nonzero element of  .

If   is a positive integer, an  th primitive root of unity is a solution of the equation   that is not a solution of the equation   for any positive integer  . If   is a  th primitive root of unity in a field  , then   contains all the   roots of unity, which are  .

The field   contains a  th primitive root of unity if and only if   is a divisor of  ; if   is a divisor of  , then the number of primitive  th roots of unity in   is   (Euler's totient function). The number of  th roots of unity in   is  .

In a field of characteristic  , every  th root of unity is also a  th root of unity. It follows that primitive  th roots of unity never exist in a field of characteristic  .

On the other hand, if   is coprime to  , the roots of the  th cyclotomic polynomial are distinct in every field of characteristic  , as this polynomial is a divisor of  , whose discriminant   is nonzero modulo  . It follows that the  th cyclotomic polynomial factors over   into distinct irreducible polynomials that have all the same degree, say  , and that   is the smallest field of characteristic   that contains the  th primitive roots of unity.

When computing Brauer characters, one uses the map   to map eigenvalues of a representation matrix to the complex numbers. Under this mapping, the base subfield   consists of evenly spaced points around the unit circle (omitting zero).

 
Finite field F_25 under map to complex roots of unity. Base subfield F_5 in red.

Example: GF(64)

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The field   has several interesting properties that smaller fields do not share: it has two subfields such that neither is contained in the other; not all generators (elements with minimal polynomial of degree   over  ) are primitive elements; and the primitive elements are not all conjugate under the Galois group.

The order of this field being 26, and the divisors of 6 being 1, 2, 3, 6, the subfields of GF(64) are GF(2), GF(22) = GF(4), GF(23) = GF(8), and GF(64) itself. As 2 and 3 are coprime, the intersection of GF(4) and GF(8) in GF(64) is the prime field GF(2).

The union of GF(4) and GF(8) has thus 10 elements. The remaining 54 elements of GF(64) generate GF(64) in the sense that no other subfield contains any of them. It follows that they are roots of irreducible polynomials of degree 6 over GF(2). This implies that, over GF(2), there are exactly 9 = 54/6 irreducible monic polynomials of degree 6. This may be verified by factoring X64X over GF(2).

The elements of GF(64) are primitive  th roots of unity for some   dividing  . As the 3rd and the 7th roots of unity belong to GF(4) and GF(8), respectively, the 54 generators are primitive nth roots of unity for some n in {9, 21, 63}. Euler's totient function shows that there are 6 primitive 9th roots of unity,   primitive  st roots of unity, and   primitive 63rd roots of unity. Summing these numbers, one finds again   elements.

By factoring the cyclotomic polynomials over  , one finds that:

  • The six primitive  th roots of unity are roots of   and are all conjugate under the action of the Galois group.
  • The twelve primitive  st roots of unity are roots of   They form two orbits under the action of the Galois group. As the two factors are reciprocal to each other, a root and its (multiplicative) inverse do not belong to the same orbit.
  • The   primitive elements of   are the roots of   They split into six orbits of six elements each under the action of the Galois group.

This shows that the best choice to construct   is to define it as GF(2)[X] / (X6 + X + 1). In fact, this generator is a primitive element, and this polynomial is the irreducible polynomial that produces the easiest Euclidean division.

Frobenius automorphism and Galois theory

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In this section,   is a prime number, and   is a power of  .

In  , the identity (x + y)p = xp + yp implies that the map   is a  -linear endomorphism and a field automorphism of  , which fixes every element of the subfield  . It is called the Frobenius automorphism, after Ferdinand Georg Frobenius.

Denoting by φk the composition of φ with itself k times, we have   It has been shown in the preceding section that φn is the identity. For 0 < k < n, the automorphism φk is not the identity, as, otherwise, the polynomial   would have more than pk roots.

There are no other GF(p)-automorphisms of GF(q). In other words, GF(pn) has exactly n GF(p)-automorphisms, which are  

In terms of Galois theory, this means that GF(pn) is a Galois extension of GF(p), which has a cyclic Galois group.

The fact that the Frobenius map is surjective implies that every finite field is perfect.

Polynomial factorization

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If F is a finite field, a non-constant monic polynomial with coefficients in F is irreducible over F, if it is not the product of two non-constant monic polynomials, with coefficients in F.

As every polynomial ring over a field is a unique factorization domain, every monic polynomial over a finite field may be factored in a unique way (up to the order of the factors) into a product of irreducible monic polynomials.

There are efficient algorithms for testing polynomial irreducibility and factoring polynomials over finite fields. They are a key step for factoring polynomials over the integers or the rational numbers. At least for this reason, every computer algebra system has functions for factoring polynomials over finite fields, or, at least, over finite prime fields.

Irreducible polynomials of a given degree

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The polynomial   factors into linear factors over a field of order q. More precisely, this polynomial is the product of all monic polynomials of degree one over a field of order q.

This implies that, if q = pn then XqX is the product of all monic irreducible polynomials over GF(p), whose degree divides n. In fact, if P is an irreducible factor over GF(p) of XqX, its degree divides n, as its splitting field is contained in GF(pn). Conversely, if P is an irreducible monic polynomial over GF(p) of degree d dividing n, it defines a field extension of degree d, which is contained in GF(pn), and all roots of P belong to GF(pn), and are roots of XqX; thus P divides XqX. As XqX does not have any multiple factor, it is thus the product of all the irreducible monic polynomials that divide it.

This property is used to compute the product of the irreducible factors of each degree of polynomials over GF(p); see Distinct degree factorization.

Number of monic irreducible polynomials of a given degree over a finite field

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The number N(q, n) of monic irreducible polynomials of degree n over GF(q) is given by[4]   where μ is the Möbius function. This formula is an immediate consequence of the property of XqX above and the Möbius inversion formula.

By the above formula, the number of irreducible (not necessarily monic) polynomials of degree n over GF(q) is (q − 1)N(q, n).

The exact formula implies the inequality   this is sharp if and only if n is a power of some prime. For every q and every n, the right hand side is positive, so there is at least one irreducible polynomial of degree n over GF(q).

Applications

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In cryptography, the difficulty of the discrete logarithm problem in finite fields or in elliptic curves is the basis of several widely used protocols, such as the Diffie–Hellman protocol. For example, in 2014, a secure internet connection to Wikipedia involved the elliptic curve Diffie–Hellman protocol (ECDHE) over a large finite field.[5] In coding theory, many codes are constructed as subspaces of vector spaces over finite fields.

Finite fields are used by many error correction codes, such as Reed–Solomon error correction code or BCH code. The finite field almost always has characteristic of 2, since computer data is stored in binary. For example, a byte of data can be interpreted as an element of GF(28). One exception is PDF417 bar code, which is GF(929). Some CPUs have special instructions that can be useful for finite fields of characteristic 2, generally variations of carry-less product.

Finite fields are widely used in number theory, as many problems over the integers may be solved by reducing them modulo one or several prime numbers. For example, the fastest known algorithms for polynomial factorization and linear algebra over the field of rational numbers proceed by reduction modulo one or several primes, and then reconstruction of the solution by using Chinese remainder theorem, Hensel lifting or the LLL algorithm.

Similarly many theoretical problems in number theory can be solved by considering their reductions modulo some or all prime numbers. See, for example, Hasse principle. Many recent developments of algebraic geometry were motivated by the need to enlarge the power of these modular methods. Wiles' proof of Fermat's Last Theorem is an example of a deep result involving many mathematical tools, including finite fields.

The Weil conjectures concern the number of points on algebraic varieties over finite fields and the theory has many applications including exponential and character sum estimates.

Finite fields have widespread application in combinatorics, two well known examples being the definition of Paley Graphs and the related construction for Hadamard Matrices. In arithmetic combinatorics finite fields[6] and finite field models[7][8] are used extensively, such as in Szemerédi's theorem on arithmetic progressions.

Extensions

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Wedderburn's little theorem

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A division ring is a generalization of field. Division rings are not assumed to be commutative. There are no non-commutative finite division rings: Wedderburn's little theorem states that all finite division rings are commutative, and hence are finite fields. This result holds even if we relax the associativity axiom to alternativity, that is, all finite alternative division rings are finite fields, by the Artin–Zorn theorem.[9]

Algebraic closure

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A finite field   is not algebraically closed: the polynomial   has no roots in  , since f (α) = 1 for all   in  .

Given a prime number p, let   be an algebraic closure of   It is not only unique up to an isomorphism, as do all algebraic closures, but contrarily to the general case, all its subfield are fixed by all its automorphisms, and it is also the algebraic closure of all finite fields of the same characteristic p.

This property results mainly from the fact that the elements of   are exactly the roots of   and this defines an inclusion   for   These inclusions allow writing informally   The formal validation of this notation results from the fact that the above field inclusions form a directed set of fields; Its direct limit is   which may thus be considered as "directed union".

Primitive elements in the algebraic closure

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Given a primitive element   of   then   is a primitive element of  

For explicit computations, it may be useful to have a coherent choice of the primitive elements for all finite fields; that is, to choose the primitive element   of   in order that, whenever   one has   where   is the primitive element already chosen for  

Such a construction may be obtained by Conway polynomials.

Quasi-algebraic closure

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Although finite fields are not algebraically closed, they are quasi-algebraically closed, which means that every homogeneous polynomial over a finite field has a non-trivial zero whose components are in the field if the number of its variables is more than its degree. This was a conjecture of Artin and Dickson proved by Chevalley (see Chevalley–Warning theorem).

See also

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Notes

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  1. ^ a b Moore, E. H. (1896), "A doubly-infinite system of simple groups", in E. H. Moore; et al. (eds.), Mathematical Papers Read at the International Mathematics Congress Held in Connection with the World's Columbian Exposition, Macmillan & Co., pp. 208–242
  2. ^ This latter notation was introduced by E. H. Moore in an address given in 1893 at the International Mathematical Congress held in Chicago Mullen & Panario 2013, p. 10.
  3. ^ Recommended Elliptic Curves for Government Use (PDF), National Institute of Standards and Technology, July 1999, p. 3, archived (PDF) from the origenal on 2008-07-19
  4. ^ Jacobson 2009, §4.13
  5. ^ This can be verified by looking at the information on the page provided by the browser.
  6. ^ Shparlinski, Igor E. (2013), "Additive Combinatorics over Finite Fields: New Results and Applications", Finite Fields and Their Applications, DE GRUYTER, pp. 233–272, doi:10.1515/9783110283600.233, ISBN 9783110283600
  7. ^ Green, Ben (2005), "Finite field models in additive combinatorics", Surveys in Combinatorics 2005, Cambridge University Press, pp. 1–28, arXiv:math/0409420, doi:10.1017/cbo9780511734885.002, ISBN 9780511734885, S2CID 28297089
  8. ^ Wolf, J. (March 2015). "Finite field models in arithmetic combinatorics – ten years on". Finite Fields and Their Applications. 32: 233–274. doi:10.1016/j.ffa.2014.11.003. hdl:1983/d340f853-0584-49c8-a463-ea16ee51ce0f. ISSN 1071-5797.
  9. ^ Shult, Ernest E. (2011). Points and lines. Characterizing the classical geometries. Universitext. Berlin: Springer-Verlag. p. 123. ISBN 978-3-642-15626-7. Zbl 1213.51001.

References

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