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In mathematics, a homogeneous function is a function with multiplicative scaling behaviour: if the argument is multiplied by a factor, then the result is multiplied by some power of this factor. More precisely, if ƒ : V → W is a function between two vector spaces over a field F, then ƒ is said to be homogeneous of degree k if
for all nonzero α ∈ F and v ∈ V. When the vector spaces involved are over the real numbers, a slightly more general form of homogeneity is often used, requiring only that (1) hold for all α > 0. Homogeneous functions can also be defined for vector spaces with the origin deleted, a fact that is used in the definition of sheaves on projective space in algebraic geometry. More generally, if S ⊂ V is any subset that is invariant under scalar multiplication by elements of the field (a "cone"), then a homogeneous function from S to W can still be defined by (1).
[edit] Examples[edit] Linear functionsAny linear function ƒ : V → W is homogeneous of degree 1, since by the definition of linearity for all α ∈ F and v ∈ V. Similarly, any multilinear function ƒ : V1 × V2 × ... Vn → W is homogeneous of degree n, since by the definition of multilinearity for all α ∈ F and v1 ∈ V1, v2 ∈ V2, ..., vn ∈ Vn. It follows that the n-th differential of a function ƒ : X → Y between two Banach spaces X and Y is homogeneous of degree n. [edit] Homogeneous polynomialsMain article: Homogeneous polynomial Monomials in n variables define homogeneous functions ƒ : Fn → F. For example,
is homogeneous of degree 10 since
A homogeneous polynomial is a polynomial made up of a sum of monomials of the same degree. For example,
is a homogeneous polynomial of degree 5. Homogeneous polynomials also define homogeneous functions. [edit] PolarizationA multilinear function g : V × V × ... V → F from the n-th Cartesian product of V with itself to the groundfield F gives rise to a homogeneous function ƒ : V → F by evaluating on the diagonal: The resulting function ƒ is a polynomial on the vector space V. Conversely, if F has characteristic zero, then given a homogeneous polynomial ƒ of degree n on V, the polarization of ƒ is a multilinear function g : V × V × ... V → F on the n-th Cartesian product of V. The polarization is defined by These two constructions, one of a homogeneous polynomial from a multilinear form and the other of a multilinear form from a homogeneous polynomial, are mutually inverse to one another. In finite dimensions, they establish an isomorphism of graded vector spaces from the symmetric algebra of V∗ to the algebra of homogeneous polynomials on V. [edit] Rational functionsRational functions formed as the ratio of two homogeneous polynomials are homogeneous functions off of the affine cone cut out by the zero locus of the denominator. Thus, if f is homogeneous of degree m and g is homogeneous of degree n, then f/g is homogeneous of degree m−n away from the zeros of g. [edit] Positive homogeneityIn the special case of vector spaces over the real numbers, the notation of positive homogeneity often plays a more important role than homogeneity in the above sense. A function ƒ : V \ {0} → R is positive homogeneous of degree k if
for all α > 0. Here k can be any complex number. A (nonzero) continuous function homogeneous of degree k on Rn \ {0} extends continuously to Rn if and only if Re{k} > 0. Positive homogeneous functions are characterized by Euler's homogeneous function theorem. Suppose that the function ƒ : Rn \ {0} → R is continuously differentiable. Then ƒ is positive homogeneous of degree k if and only if
This result follows at once by differentiating both sides of the equation ƒ(αy) = αkƒ(y) with respect to α and applying the chain rule. The converse holds by integrating. As a consequence, suppose that ƒ : Rn → R is differentiable and homogeneous of degree k. Then its first-order partial derivatives [edit] Homogeneous distributionsMain article: Homogeneous distribution A compactly supported continuous function ƒ on Rn is homogeneous of degree k if and only if for all compactly supported test functions φ and nonzero real t. Equivalently, making a change of variable y = tx, ƒ is homogeneous of degree k if and only if for all t and all test functions φ. The last display makes it possible to define homogeneity of distributions. A distribution S is homogeneous of degree k if for all nonzero real t and all test functions φ. Here the angle brackets denote the pairing between distributions and test functions, and μt : Rn → Rn is the mapping of scalar multiplication by the real number t. [edit] Application to ODEsThe substitution v = y/x converts the ordinary differential equation where I and J are homogeneous functions of the same degree, into the separable differential equation
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