(mathematics) Any second-degree, homogeneous polynomial.
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(mathematics) Any second-degree, homogeneous polynomial.
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In mathematics, a quadratic form is a homogeneous polynomial of degree two in a number of variables. For example,

is a quadratic form in the variables x and y.
Quadratic forms are central objects in mathematics, occurring for instance in number theory, geometry (Riemannian metric), topology (intersection forms on homology), and Lie theory (the Killing form). They are also ubiquitous in physics and chemistry, as the energy of a system, particularly in relation to the L2 norm, which leads to the use of Hilbert spaces.
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Quadratic forms are homogeneous quadratic polynomials in n variables. In the cases of one, two, and three variables they are called unary, binary, and ternary and have the following explicit form:


,where a,…,f are the coefficients.[1] Note that general quadratic functions, such as ax2+bx+c, are not examples of quadratic forms, as they may not be homogeneous.
The theory of quadratic forms and methods used in their study depend in a large measure on the nature of the coefficients, which may be real or complex numbers, rational numbers, or integers. In linear algebra, analytic geometry, and in the majority of applications of quadratic forms, the coefficients are real or complex numbers. In algebraic theory of quadratic forms, the coefficients are elements of a certain field. In the arithmetic theory of quadratic forms, the coefficients belong to a fixed commutative ring, frequently the integers Z or the p-adic integers Zp.[2] Binary quadratic forms have been extensively studied in number theory, in particular, in the theory of quadratic fields, continued fractions, and modular forms. The theory of integral quadratic forms in n variables has important applications to algebraic topology.
Using homogeneous coordinates, a non-zero quadratic form in n variables defines an (n−2)-dimensional quadric in the (n−1)-dimensional projective space. This is a basic construction in projective geometry. In this way one may visualize 3-dimensional real quadratic forms as conic sections.
A closely related notion with geometric overtones is a quadratic space, which is a pair (V,q), with V a vector space over a field k, and q:V → k a quadratic form on V. An example is given by the three-dimensional Euclidean space and the square of the Euclidean norm expressing the distance between a point with coordinates (x,y,z) and the origin:

The study of particular quadratic forms, in particular the question of whether a given integer can be the value of a quadratic form over the integers, dates back many centuries. One such case is Fermat's theorem on sums of two squares, which determines when an integer may be expressed in the form x2 + y2, where
are integers. This problem is related to the problem of finding Pythagorean triples, which appeared in the second millennium B.C.[3]
In 628, the Indian mathematician Brahmagupta wrote Brahmasphutasiddhanta which includes, among many other things, a study of equations of the form x2 − ny2 = c. In particular he considered what is now called Pell's equation, x2 − ny2 = 1, and found a method for its solution.[4] In Europe this problem was studied by Brouncker, Euler and Lagrange.
In 1801 Gauss published Disquisitiones Arithmeticae, a major portion of which was devoted to a complete theory of binary quadratic forms over the integers. Since then, the concept has been generalized, and the connections with quadratic number fields, the modular group, and other areas of mathematics have been further elucidated.
Any n×n real symmetric matrix A determines a quadratic form qA in n variables by the formula

Conversely, given a quadratic form in n variables, its coefficients can be arranged into an n×n symmetric matrix. It is worth noting that A need not to be symmetric to define a quadratic form, but in every case it is equivalent to define it with the semi sum of itself with its transpose (See antisymmetric matrix properties). One of the most important questions in the theory of quadratic forms is how much can one simplify a quadratic form q by a homogeneous linear change of variables. A fundamental theorem due to Jacobi asserts that q can be brought to a diagonal form

so that the corresponding symmetric matrix is diagonal, and this is even possible to accomplish with a change of variables given by an orthogonal matrix – in this case the coefficients λ1, λ2, …, λn are in fact determined uniquely up to a permutation. If the change of variables is given by an invertible matrix, not necessarily orthogonal, then the coefficients λi can be made to be 0,1, and −1. Sylvester's law of inertia states that the numbers of 1 and −1 are invariants of the quadratic form, in the sense that any other diagonalization will contain them in the same quantities. The case when all λi have the same sign is especially important: in this case the quadratic form is called positive definite (all 1) or negative definite (all −1). Below we reformulate these results in a different way.
Let q be a quadratic form defined on an n-dimensional real vector space. Let A be the matrix of the quadratic form q in a given basis. This means that A is a symmetric n×n matrix such that
where x is the column vector of coordinates of v in the chosen basis. Under a change of basis, the column x is multiplied on the left by an n×n invertible matrix S, and the symmetric square matrix A is transformed into another symmetric square matrix B of the same size according to the formula

Any symmetric matrix A can be transformed into a diagonal matrix

by a suitable choice of an orthogonal matrix S, and the diagonal entries of B are uniquely determined — this is Jacobi's theorem. If S is allowed to be any invertible matrix then B can be made to have only 0,1, and −1 on the diagonal, and the number of the entries of each type (n0 for 0, n+ for 1, and n− for −1) depends only on A. This is one of the formulations of Sylvester's law of inertia and the numbers n+ and n− are called the positive and negative indices of inertia. Although their definition involved a choice of basis and consideration of the corresponding real symmetric matrix A, Sylvester's law of inertia means that they are invariants of the quadratic form q.
The quadratic form q is positive definite (resp., negative definite) if q(v)>0 (resp., q(v)<0) for every nonzero vector v.[5] When q(v) assumes both positive and negative values, q is an indefinite quadratic form. The theorems of Jacobi and Sylvester show that any positive definite quadratic form in n variables can be brought to the sum of n squares by a suitable invertible linear transformation: geometrically, there is only one positive definite real quadratic form of every dimension. Its isometry group is a compact orthogonal group. This stands in contrast with the case of indefinite forms, when the corresponding group is non-compact.
Let V be a module over a commutative ring R; often R is a field, such as the real numbers, in which case V is a vector space.
A quadratic form is an element of the symmetric square of the dual space,

This is precisely the coordinate-free formulation of "homogeneous degree 2 polynomial", as the symmetric algebra of V * corresponds to polynomials on V.
Bilinear forms are the full tensor product
, and symmetric forms are the subspace of symmetric tensors. Note that the space of quadratic forms is a quotient of the space of bilinear forms, while symmetric forms are a subspace.
In terms of matrices, (we take V to be 2-dimensional):
correspond to bilinear forms
correspond to symmetric forms
yields the quadratic form ax2 + bxy + cyx + dy2 = ax2 + (b + c)xy + dy2, which is a quotient map with kernel
.One can likewise define quadratic forms corresponding to skew-symmetric forms, Hermitian forms, and skew-Hermitian forms; the general concept is ε-quadratic form.
When 2 is invertible in the ring R, one can define a quadratic form in terms of its associated symmetric form in the following way.
A map
is called a quadratic form on V if
and
, andHere B is called the associated symmetric form; it is a symmetric bilinear form.
Two elements u and v of V are called orthogonal if B(u, v)=0.
The kernel of the bilinear form B consists of the elements that are orthogonal to all elements of V, and the kernel of the quadratic form Q consists of all elements u of the kernel of B with Q(u)=0. If 2 is invertible then Q and its associated bilinear form B have the same kernel.
The bilinear form B is called non-singular if its kernel is 0, and the quadratic form Q is called non-singular if its kernel is 0.
The orthogonal group of a non-singular quadratic form Q is the group of automorphisms of V that preserve the quadratic form Q.
A quadratic form Q is called isotropic when there is a non-zero v in V such that Q(v) = 0. Otherwise it is called anisotropic. A vector or a subspace of a quadratic space may also be referred to as isotropic. If Q(V) = 0 then Q is called totally singular.
When working over a ring where 2 is invertible (for instance, over a field of characteristic not equal to 2), a quadratic form is equivalent to a symmetric bilinear form, in this context often called simply a symmetric form. They are thus frequently confused, as in integral quadratic forms (below), or in higher Witt groups. However, they are distinct concepts, and the distinction is frequently important.
Intuitively, a symmetric form generalizes xy, while a quadratic form generalizes x2, and one can pass between these via the polarization identities.
Given a quadratic form Q, one obtains a symmetric form B, called the associated symmetric form or associated bilinear form, via:
This corresponds to:
Conversely, given a bilinear form B (which need not be symmetric), one obtains a quadratic form via:
This corresponds to:

If one composes these two operations, one gets multiplication by 2 (if one starts with either a quadratic form or a symmetric bilinear form); thus if 2 is invertible, these operations are invertible (the polarization identities); by analogy with

one takes

which gives a 1-1 correspondence between quadratic forms on V and symmetric forms on V.
But if 2 is not invertible, symmetric forms and quadratic forms are different: some quadratic forms cannot be written in the form B(u,u), for example, over the integers, Q(u) = x2 + xy + y2, or more simply Q(u) = xy.
Let us describe this equivalence in the 2 dimensional case. Any 2 dimensional quadratic form may be written as
Let us write v = (x,y) for any vector in the vector space. The quadratic form F can be expressed in terms of matrices if we let M be the 2×2 matrix:

Then matrix multiplication gives us the following equality:

where the superscript vT denotes the transpose of a matrix. Notice we have used that the characteristic is not 2, since we divided by 2 to define M. So we see the correspondence between 2 dimensional quadratic forms F and 2×2 symmetric matrices M, which correspond to symmetric forms.
This observation generalises quickly to forms in n variables and n×n symmetric matrices. For example, in the case of real-valued quadratic forms, the characteristic of the real numbers is 0, so real quadratic forms and real symmetric bilinear forms are the same objects, from different points of view.
If V is free of rank n we write the bilinear form B as a symmetric matrix B relative to some basis {ei} for V. The components of B are given by Bij = B(ei,ej). If 2 is invertible the quadratic form Q is then given by

where ui are the components of u in this basis.
Some other properties of quadratic forms:

Let (V,q) and (W,q') be two quadratic spaces over a field F. They are called equivalent if there exists an isomorphism of vector spaces
such that
q'(s(x)) = q(x)
holds for all
The isomorphism s is called an isometry from (V,q) to (W,q´). This notion of equivalence is an equivalence relation on quadratic forms.
When the characteristic of F is not 2, every quadratic form q on an n-dimensional F-vector space V is equivalent to a diagonal form

where
Such a diagonal form is often denoted by
.
It often occurs that two diagonal forms with different coefficients are equivalent. In general, it is not easy to decide whether two given diagonal forms are equivalent or not.
Every diagonal form q over an n-dimensional complex vector space is equivalent to a diagonal form of the shape
where the coefficient 1 occurs r times. For a given q the number r is uniquely determined.
Every diagonal form q over an n-dimensional real vector space is equivalent to a diagonal form of the shape
where the coefficient 1 occurs r times and the coefficient -1 occurs s. As in the complex case, for a given q the numbers r and s are uniquely determined. Also for a finite field F the classification of the equivalence classes of quadratic forms on finite dimensional vector spaces is simple.
The rational case is more complicated, but also solved because of the theorem of Hasse-Minkowski, an important result of Number Theory.
Quadratic forms over the ring of integers are called integral quadratic forms, whereas the corresponding modules are quadratic lattices (sometimes, simply lattices). They play an important role in number theory and topology.
An integral quadratic form has integer coefficients, such as x2 + xy + y2; equivalently, given a lattice Λ in a vector space V (over a field with characteristic 0, such as
or
), a quadratic form Q is integral with respect to Λ if and only if it is integer-valued on Λ, meaning
if
.
This is the current use of the term; in the past it was sometimes used differently, as detailed below.
Historically there was some confusion and controversy over whether the notion of integral quadratic form should mean:
This debate was due to the confusion of quadratic forms (represented by polynomials) and symmetric bilinear forms (represented by matrices), and "twos out" is now the accepted convention; "twos in" is instead the theory of integral symmetric bilinear forms (integral symmetric matrices).
In "twos in", binary quadratic forms are of the form ax2 + 2bxy + cy2, represented by the symmetric matrix
; this is the convention Gauss uses in Disquisitiones Arithmeticae.
In "twos out", binary quadratic forms are of the form ax2 + bxy + cy2, represented by the symmetric matrix
.
Several points of view mean that twos out has been adopted as the standard convention. Those include:
A quadratic form representing all of the positive integers is sometimes called universal. Lagrange's four-square theorem shows that w2 + x2 + y2 + z2 is universal. Ramanujan generalized this to aw2 + bx2 + cy2 + dz2 and found 54 {a,b,c,d} such that it can generate all positive integers, namely,
There are also forms that can express nearly all positive integers except one, such as {1,2,5,5} which has 15 as the exception. Recently, the 15 and 290 theorems have completely characterized universal integral quadratic forms: if all coefficients are integers, then it represents all positive integers if and only if it represents all integers up through 290; if it has an integral matrix, it represents all positive integers if and only if it represents all integers up through 15.
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