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Field (mathematics)

A field is an algebraic structure supporting addition, subtraction, multiplication, and division by every nonzero element.

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A field is a set equipped with addition and multiplication satisfying rules that make subtraction and division by nonzero elements possible. Familiar examples include the rational, real, and complex numbers, but fields can also contain finitely many elements. In abstract algebra, the concept identifies the algebraic properties shared by these systems without requiring their elements to be ordinary numbers. (math.mit.edu)

Definition and axioms

A field FF has two binary operations, addition ++ and multiplication ⋅\cdot, and distinct elements 00 and 11. Its defining axioms require:

  • Associativity: (a+b)+c=a+(b+c)(a+b)+c=a+(b+c) and (ab)c=a(bc)(ab)c=a(bc).
  • Commutativity: a+b=b+aa+b=b+a and ab=baab=ba.
  • Identity elements: a+0=aa+0=a and a⋅1=aa\cdot1=a.
  • Additive inverses: every aa has an element −a-a satisfying a+(−a)=0a+(-a)=0.
  • Multiplicative inverses: every a≠0a\ne0 has an element a−1a^{-1} satisfying aa−1=1aa^{-1}=1.
  • Distributivity: a(b+c)=ab+aca(b+c)=ab+ac.

Both operations take elements of FF to elements of FF. Subtraction means adding an additive inverse; division means multiplying by a multiplicative inverse. Division by zero is not defined. (math.mit.edu)

Equivalently, a field is a commutative ring with 1≠01\ne0 in which every nonzero element is invertible. Its additive structure and its nonzero multiplicative structure are abelian groups. Dropping commutativity of multiplication gives the broader concept of a division ring. (math.mit.edu)

Examples and non-examples

The rational numbers Q\mathbb Q, real numbers R\mathbb R, and complex numbers C\mathbb C are fields with their usual operations. The integers Z\mathbb Z are not: for example, 22 has no multiplicative inverse in Z\mathbb Z. Likewise, square real matrices of size at least two do not form a field, because some nonzero matrices are not invertible. (homepages.ucl.ac.uk)

For a prime number pp, the residue classes Z/pZ\mathbb Z/p\mathbb Z form a field, denoted Fp\mathbb F_p, using modular arithmetic. In F5\mathbb F_5, for example, 3+4=23+4=2, and 2−1=32^{-1}=3 because 2⋅3=12\cdot3=1 modulo 55. If the modulus is composite, the resulting ring is not a field: modulo 66, the nonzero classes 22 and 33 have product zero. (homepages.ucl.ac.uk)

Characteristic and finite fields

The characteristic of a field is the least positive integer nn for which adding 11 to itself nn times gives zero. If no such integer exists, the characteristic is zero. A positive characteristic must be prime. Every field contains a smallest subfield, its prime subfield, isomorphic to Q\mathbb Q in characteristic zero or Fp\mathbb F_p in characteristic pp. (jmilne.org)

Every finite field has pnp^n elements for some prime pp and positive integer nn. Conversely, for every prime power pnp^n, a field of that size exists and is unique up to isomorphism—a bijection preserving the field operations. It is written Fpn\mathbb F_{p^n} or GF⁡(pn)\operatorname{GF}(p^n). Its characteristic is pp, not pnp^n. (math.mit.edu)

Such fields can be constructed by taking polynomials over Fp\mathbb F_p modulo an irreducible polynomial of degree nn. For example,

F4≅F2[x]/(x2+x+1).\mathbb F_4\cong\mathbb F_2[x]/(x^2+x+1).

Writing α\alpha for the class of xx, its elements are 0,1,α,1+α0,1,\alpha,1+\alpha, with α2=α+1\alpha^2=\alpha+1. This is not the ring of integers modulo four. (math.mit.edu)

Subfields and extensions

A subfield is a subset that is itself a field under the inherited operations. When KK is a subfield of LL, L/KL/K is a field extension. The larger field is a vector space over the smaller one; its dimension, denoted [L:K][L:K], is the extension’s degree. (jmilne.org)

An element of an extension is algebraic over KK if it satisfies a nonzero polynomial with coefficients in KK; otherwise it is transcendental. For instance,

Q(2)={a+b2:a,b∈Q}\mathbb Q(\sqrt2)=\{a+b\sqrt2:a,b\in\mathbb Q\}

has degree two over Q\mathbb Q. A field is algebraically closed if every nonconstant polynomial over it has a root in it. The fundamental theorem of algebra establishes this property for C\mathbb C. (jmilne.org)

Linear algebra and applications

Fields provide the scalars for linear algebra. Vectors, matrices, and linear equations can be studied over any field, not only over real or complex numbers. The availability of inverses for nonzero scalars makes division-based manipulations possible; choosing a different field changes the arithmetic without abandoning the underlying framework. (homepages.ucl.ac.uk)

Galois theory studies field extensions through their operation-preserving symmetries. For a finite Galois extension, its fundamental theorem relates intermediate fields to subgroups of the associated Galois group, connecting field structure with group theory. (jmilne.org)

A concrete application occurs in cryptography: the Advanced Encryption Standard interprets bytes as elements of F256\mathbb F_{256}. Addition is bitwise exclusive OR, while multiplication uses binary-coefficient polynomials reduced modulo a specified irreducible polynomial. These are field operations, not ordinary integer arithmetic modulo 256256. (nvlpubs.nist.gov)