In mathematics, a homogeneous polynomial, sometimes called quantic in older texts, is a polynomial whose nonzero terms all have the same degree.[1] For example, [math]\displaystyle{ x^5 + 2 x^3 y^2 + 9 x y^4 }[/math] is a homogeneous polynomial of degree 5, in two variables; the sum of the exponents in each term is always 5. The polynomial [math]\displaystyle{ x^3 + 3 x^2 y + z^7 }[/math] is not homogeneous, because the sum of exponents does not match from term to term. The function defined by a homogeneous polynomial is always a homogeneous function.
An algebraic form, or simply form, is a function defined by a homogeneous polynomial.[notes 1] A binary form is a form in two variables. A form is also a function defined on a vector space, which may be expressed as a homogeneous function of the coordinates over any basis.
A polynomial of degree 0 is always homogeneous; it is simply an element of the field or ring of the coefficients, usually called a constant or a scalar. A form of degree 1 is a linear form.[notes 2] A form of degree 2 is a quadratic form. In geometry, the Euclidean distance is the square root of a quadratic form.
Homogeneous polynomials are ubiquitous in mathematics and physics.[notes 3] They play a fundamental role in algebraic geometry, as a projective algebraic variety is defined as the set of the common zeros of a set of homogeneous polynomials.
A homogeneous polynomial defines a homogeneous function. This means that, if a multivariate polynomial P is homogeneous of degree d, then
for every [math]\displaystyle{ \lambda }[/math] in any field containing the coefficients of P. Conversely, if the above relation is true for infinitely many [math]\displaystyle{ \lambda }[/math] then the polynomial is homogeneous of degree d.
In particular, if P is homogeneous then
for every [math]\displaystyle{ \lambda. }[/math] This property is fundamental in the definition of a projective variety.
Any nonzero polynomial may be decomposed, in a unique way, as a sum of homogeneous polynomials of different degrees, which are called the homogeneous components of the polynomial.
Given a polynomial ring [math]\displaystyle{ R=K[x_1, \ldots,x_n] }[/math] over a field (or, more generally, a ring) K, the homogeneous polynomials of degree d form a vector space (or a module), commonly denoted [math]\displaystyle{ R_d. }[/math] The above unique decomposition means that [math]\displaystyle{ R }[/math] is the direct sum of the [math]\displaystyle{ R_d }[/math] (sum over all nonnegative integers).
The dimension of the vector space (or free module) [math]\displaystyle{ R_d }[/math] is the number of different monomials of degree d in n variables (that is the maximal number of nonzero terms in a homogeneous polynomial of degree d in n variables). It is equal to the binomial coefficient
Homogeneous polynomial satisfy Euler's identity for homogeneous functions. That is, if P is a homogeneous polynomial of degree d in the indeterminates [math]\displaystyle{ x_1, \ldots, x_n, }[/math] one has, whichever is the commutative ring of the coefficients,
where [math]\displaystyle{ \textstyle \frac{\partial P}{\partial x_i} }[/math] denotes the formal partial derivative of P with respect to [math]\displaystyle{ x_i. }[/math]
A non-homogeneous polynomial P(x1,...,xn) can be homogenized by introducing an additional variable x0 and defining the homogeneous polynomial sometimes denoted hP:[2]
where d is the degree of P. For example, if
then
A homogenized polynomial can be dehomogenized by setting the additional variable x0 = 1. That is
Original source: https://en.wikipedia.org/wiki/Homogeneous polynomial.
Read more |