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Derivation (differential algebra)

In mathematics, a derivation is a function on an algebra that generalizes certain features of the derivative operator. Specifically, given an algebra over a ring or a field , a -derivation is a -linear map that satisfies Leibniz's law:

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In mathematics, a derivation is a function on an algebra that generalizes certain features of the derivative operator. Specifically, given an algebra A {\displaystyle A} over a ring or a field K {\displaystyle K} , a K {\displaystyle K} -derivation is a K {\displaystyle K} -linear map D : A A {\displaystyle D:A\to A} that satisfies Leibniz's law:

D ( a b ) = a D ( b ) + D ( a ) b . {\displaystyle D(ab)=aD(b)+D(a)b.}

More generally, if M {\displaystyle M} is an A {\displaystyle A} -bimodule, a K {\displaystyle K} -linear map D : A M {\displaystyle D:A\to M} that satisfies the Leibniz law is also called a derivation. The collection of all K {\displaystyle K} -derivations of A {\displaystyle A} to itself is denoted by D e r K ( A ) {\displaystyle \mathrm {Der} _{K}(A)} . The collection of K {\displaystyle K} -derivations of A {\displaystyle A} into an A {\displaystyle A} -module M {\displaystyle M} is denoted by D e r K ( A , M ) {\displaystyle \mathrm {Der} _{K}(A,M)} .

Derivations occur in many different contexts in diverse areas of mathematics. The partial derivative with respect to a variable is an R {\displaystyle \mathbb {R} } -derivation on the algebra of real-valued differentiable functions on R n {\displaystyle \mathbb {R} ^{n}} . The Lie derivative with respect to a vector field is an R {\displaystyle \mathbb {R} } -derivation on the algebra of differentiable functions on a differentiable manifold; more generally it is a derivation on the tensor algebra of a manifold. It follows that the adjoint representation of a Lie algebra is a derivation on that algebra. The Pincherle derivative is an example of a derivation in abstract algebra. If the algebra A {\displaystyle A} is noncommutative, then the commutator with respect to an element of the algebra A {\displaystyle A} defines a linear endomorphism of A {\displaystyle A} to itself, which is a derivation over K {\displaystyle K} . That is,

[ F G , N ] = [ F , N ] G + F [ G , N ] , {\displaystyle [FG,N]=[F,N]G+F[G,N]\,,}

where [ , N ] {\displaystyle [\cdot ,N]} is the commutator with respect to N {\displaystyle N} . An algebra A {\displaystyle A} equipped with a distinguished derivation d {\displaystyle d} forms a differential algebra, and is itself a significant object of study in areas such as differential Galois theory.

Properties

If A {\displaystyle A} is a K {\displaystyle K} -algebra, for K {\displaystyle K} a ring, and D: A {\displaystyle A} A {\displaystyle A} is a K {\displaystyle K} -derivation, then

  • If A {\displaystyle A} has a unit 1, then D ( 1 ) = D ( 1 2 ) = 2 D ( 1 ) {\displaystyle D(1)=D(1^{2})=2D(1)} , so that D ( 1 ) = 0 {\displaystyle D(1)=0} . Thus by K {\displaystyle K} -linearity, D ( k ) = 0 {\displaystyle D(k)=0} for all k K {\displaystyle k\in K} .
  • If A {\displaystyle A} is commutative, then D ( x 2 ) = x D ( x ) + D ( x ) x = 2 x D ( x ) {\displaystyle D(x^{2})=xD(x)+D(x)x=2xD(x)} , and D ( x n ) = n x n 1 D ( x ) {\displaystyle D(x^{n})=nx^{n-1}D(x)} , by the Leibniz rule.
  • More generally, for any x 1 , x 2 , , x n A {\displaystyle x_{1},x_{2},\ldots ,x_{n}\in A} , it follows by induction that
    D ( x 1 x 2 x n ) = i x 1 x i 1 D ( x i ) x i + 1 x n {\displaystyle D(x_{1}x_{2}\cdots x_{n})=\sum _{i}x_{1}\cdots x_{i-1}D(x_{i})x_{i+1}\cdots x_{n}}
which is i D ( x i ) j i x j {\displaystyle \textstyle \sum _{i}D(x_{i})\prod _{j\neq i}x_{j}} if for all i {\displaystyle i} , D ( x i ) {\displaystyle D(x_{i})} commutes with x 1 , x 2 , , x i 1 {\displaystyle x_{1},x_{2},\ldots ,x_{i-1}} .
  • For n > 1 {\displaystyle n>1} , D n {\displaystyle D^{n}} is not a derivation, instead satisfying a higher-order Leibniz rule:
D n ( u v ) = k = 0 n ( n k ) D n k ( u ) D k ( v ) . {\displaystyle D^{n}(uv)=\sum _{k=0}^{n}{\binom {n}{k}}\cdot D^{n-k}(u)\cdot D^{k}(v).}
Moreover, if M {\displaystyle M} is an A {\displaystyle A} -bimodule, write
Der K ( A , M ) {\displaystyle \operatorname {Der} _{K}(A,M)}
for the set of K {\displaystyle K} -derivations from A {\displaystyle A} to M {\displaystyle M} .
  • D e r K ( A , M ) {\displaystyle \mathrm {Der} _{K}(A,M)} is a module over K {\displaystyle K} .
  • D e r K ( A ) {\displaystyle \mathrm {Der} _{K}(A)} is a Lie algebra with Lie bracket defined by the commutator:
[ D 1 , D 2 ] = D 1 D 2 D 2 D 1 . {\displaystyle [D_{1},D_{2}]=D_{1}\circ D_{2}-D_{2}\circ D_{1}.}
since it is readily verified that the commutator of two derivations is again a derivation.
  • There is an A {\displaystyle A} -module Ω A / K {\displaystyle \Omega _{A/K}} (called the Kähler differentials) with a K {\displaystyle K} -derivation d : A Ω A / K {\displaystyle d:A\to \Omega _{A/K}} through which any derivation D : A M {\displaystyle D:A\to M} factors. That is, for any derivation D {\displaystyle D} ' there is a A {\displaystyle A} -module map φ {\displaystyle \varphi } with
D : A d Ω A / K φ M {\displaystyle D:A{\stackrel {d}{\longrightarrow }}\Omega _{A/K}{\stackrel {\varphi }{\longrightarrow }}M}
The correspondence D φ {\displaystyle D\leftrightarrow \varphi } is an isomorphism of A {\displaystyle A} -modules:
Der K ( A , M ) Hom A ( Ω A / K , M ) {\displaystyle \operatorname {Der} _{K}(A,M)\simeq \operatorname {Hom} _{A}(\Omega _{A/K},M)}
  • If k K {\displaystyle k\subset K} is a subring, then A {\displaystyle A} inherits a k {\displaystyle k} -algebra structure, so there is an inclusion
Der K ( A , M ) Der k ( A , M ) , {\displaystyle \operatorname {Der} _{K}(A,M)\subset \operatorname {Der} _{k}(A,M),}
since any K {\displaystyle K} -derivation is a fortiori a k {\displaystyle k} -derivation.

Graded derivations

Given a graded algebra A {\displaystyle A} and a homogeneous linear map D {\displaystyle D} of grade | D | {\displaystyle |D|} on A {\displaystyle A} , D {\displaystyle D} is a homogeneous derivation if

D ( a b ) = D ( a ) b + ε | a | | D | a D ( b ) {\displaystyle {D(ab)=D(a)b+\varepsilon ^{|a||D|}aD(b)}}

for every homogeneous element A {\displaystyle A} and every element b {\displaystyle b} of A {\displaystyle A} for a commutator factor ε = ± 1 {\displaystyle \varepsilon =\pm 1} . A graded derivation is sum of homogeneous derivations with the same ε {\displaystyle \varepsilon } .

If ε = 1 {\displaystyle \varepsilon =1} , this definition reduces to the usual case. If ε = 1 {\displaystyle \varepsilon =-1} , however, then

D ( a b ) = D ( a ) b + ( 1 ) | a | | D | a D ( b ) {\displaystyle {D(ab)=D(a)b+(-1)^{|a||D|}aD(b)}}

for odd | D | {\displaystyle |D|} , and D {\displaystyle D} is called an anti-derivation.

Examples of anti-derivations include the exterior derivative and the interior product acting on differential forms.

Graded derivations of superalgebras (i.e., Z 2 {\displaystyle \mathbb {Z} _{2}} -graded algebras) are often called superderivations.

Hasse–Schmidt derivations are K {\displaystyle K} -algebra homomorphisms

A A [ [ t ] ] . {\displaystyle A\to A[[t]].}

Composing further with the map that sends a formal power series a n t n {\displaystyle \sum a_{n}t^{n}} to the coefficient a 1 {\displaystyle a_{1}} gives a derivation.

See also

See also

References

References