In mathematics, the Jordan–Chevalley decomposition, named after
Camille Jordan
Marie Ennemond Camille Jordan (; 5 January 1838 – 22 January 1922) was a French mathematician, known both for his foundational work in group theory and for his influential ''Cours d'analyse''.
Biography
Jordan was born in Lyon and educated ...
and
Claude Chevalley
Claude Chevalley (; 11 February 1909 – 28 June 1984) was a French mathematician who made important contributions to number theory, algebraic geometry, class field theory, finite group theory and the theory of algebraic groups. He was a foun ...
, expresses a
linear operator
In mathematics, and more specifically in linear algebra, a linear map (also called a linear mapping, linear transformation, vector space homomorphism, or in some contexts linear function) is a Map (mathematics), mapping V \to W between two vect ...
as the sum of its commuting
semisimple
In mathematics, semi-simplicity is a widespread concept in disciplines such as linear algebra, abstract algebra, representation theory, category theory, and algebraic geometry. A semi-simple object is one that can be decomposed into a sum of ''sim ...
part and its
nilpotent
In mathematics, an element x of a ring R is called nilpotent if there exists some positive integer n, called the index (or sometimes the degree), such that x^n=0.
The term was introduced by Benjamin Peirce in the context of his work on the cl ...
part. The multiplicative decomposition expresses an invertible operator as the product of its commuting semisimple and unipotent parts. The decomposition is easy to describe when the
Jordan normal form
In linear algebra, a Jordan normal form, also known as a Jordan canonical form (JCF),
is an upper triangular matrix of a particular form called a Jordan matrix representing a linear operator on a finite-dimensional vector space with respect to ...
of the operator is given, but it exists under weaker hypotheses than the existence of a Jordan normal form. Analogues of the Jordan-Chevalley decomposition exist for elements of
linear algebraic group
In mathematics, a linear algebraic group is a subgroup of the group of invertible n\times n matrices (under matrix multiplication) that is defined by polynomial equations. An example is the orthogonal group, defined by the relation M^TM = I_n ...
s,
Lie algebra
In mathematics, a Lie algebra (pronounced ) is a vector space \mathfrak g together with an operation called the Lie bracket, an alternating bilinear map \mathfrak g \times \mathfrak g \rightarrow \mathfrak g, that satisfies the Jacobi iden ...
s, and
Lie group
In mathematics, a Lie group (pronounced ) is a group that is also a differentiable manifold. A manifold is a space that locally resembles Euclidean space, whereas groups define the abstract concept of a binary operation along with the addit ...
s, and the decomposition is an important tool in the study of these objects.
Decomposition of a linear operator
Consider linear operators on a finite-dimensional
vector space
In mathematics and physics, a vector space (also called a linear space) is a set whose elements, often called '' vectors'', may be added together and multiplied ("scaled") by numbers called '' scalars''. Scalars are often real numbers, but ...
over a field. An operator T is
semisimple
In mathematics, semi-simplicity is a widespread concept in disciplines such as linear algebra, abstract algebra, representation theory, category theory, and algebraic geometry. A semi-simple object is one that can be decomposed into a sum of ''sim ...
if every T-invariant subspace has a complementary T-invariant subspace (if the underlying field is
algebraically closed
In mathematics, a field is algebraically closed if every non-constant polynomial in (the univariate polynomial ring with coefficients in ) has a root in .
Examples
As an example, the field of real numbers is not algebraically closed, becaus ...
, this is the same as the requirement that the operator be
diagonalizable
In linear algebra, a square matrix A is called diagonalizable or non-defective if it is similar to a diagonal matrix, i.e., if there exists an invertible matrix P and a diagonal matrix D such that or equivalently (Such D are not unique.) F ...
). An operator ''x'' is ''
nilpotent
In mathematics, an element x of a ring R is called nilpotent if there exists some positive integer n, called the index (or sometimes the degree), such that x^n=0.
The term was introduced by Benjamin Peirce in the context of his work on the cl ...
'' if some power ''x''
''m'' of it is the zero operator. An operator ''x'' is ''
unipotent
In mathematics, a unipotent element ''r'' of a ring ''R'' is one such that ''r'' − 1 is a nilpotent element; in other words, (''r'' − 1)''n'' is zero for some ''n''.
In particular, a square matrix ''M'' is a unipo ...
'' if ''x'' − 1 is nilpotent.
Now, let ''x'' be any operator. A Jordan–Chevalley decomposition of ''x'' is an expression of it as a sum
:''x'' = ''x''
''s'' + ''x''
''n'',
where ''x''
''s'' is semisimple, ''x''
''n'' is nilpotent, and ''x''
''s'' and ''x''
''n'' commute. Over a
perfect field In algebra, a field ''k'' is perfect if any one of the following equivalent conditions holds:
* Every irreducible polynomial over ''k'' has distinct roots.
* Every irreducible polynomial over ''k'' is separable.
* Every finite extension of ''k' ...
, such a decomposition exists (cf.
#Proof of uniqueness and existence), the decomposition is unique, and the ''x''
''s'' and ''x''
''n'' are polynomials in ''x'' with no constant terms.
[ for the algebraically closed field case.] In particular, for any such decomposition over a perfect field, an operator that commutes with ''x'' also commutes with ''x''
''s'' and ''x''
''n''.
If ''x'' is an invertible operator, then a multiplicative Jordan–Chevalley decomposition expresses ''x'' as a product
:''x'' = ''x''
''s'' · ''x''
u,
where ''x''
''s'' is semisimple, ''x''
u is unipotent, and ''x''
''s'' and ''x''
''u'' commute. Again, over a perfect field, such a decomposition exists, the decomposition is unique, and ''x''
''s'' and ''x''
u are polynomials in ''x''. The multiplicative version of the decomposition follows from the additive one since, as
is easily seen to be invertible,
:
and
is unipotent. (Conversely, by the same type of argument, one can deduce the additive version from the multiplicative one.)
If ''x'' is written in
Jordan normal form
In linear algebra, a Jordan normal form, also known as a Jordan canonical form (JCF),
is an upper triangular matrix of a particular form called a Jordan matrix representing a linear operator on a finite-dimensional vector space with respect to ...
(with respect to some basis) then ''x''
''s'' is the endomorphism whose matrix contains just the diagonal terms of ''x'', and ''x''
''n'' is the endomorphism whose matrix contains just the off-diagonal terms; ''x''
''u'' is the endomorphism whose matrix is obtained from the Jordan normal form by dividing all entries of each Jordan block by its diagonal element.
Proof of uniqueness and existence
The uniqueness follows from the fact
are polynomial in ''x'': if
is another decomposition such that
and
commute, then
, and both
commute with ''x'', hence with
since they are polynomials in
. The sum of commuting nilpotent endomorphisms is nilpotent, and over a perfect field the sum of commuting semisimple endomorphisms is again semisimple. Since the only operator which is both semisimple and nilpotent is the zero operator it follows that
and
.
We show the existence. Let ''V'' be a finite-dimensional vector space over a perfect field ''k'' and
an endomorphism.
First assume the base field ''k'' is algebraically closed. Then the vector space ''V'' has the direct sum decomposition
where each
is the kernel of
, the
generalized eigenspace
In linear algebra, a generalized eigenvector of an n\times n matrix A is a vector which satisfies certain criteria which are more relaxed than those for an (ordinary) eigenvector.
Let V be an n-dimensional vector space; let \phi be a linear map ...
and ''x'' stabilizes
, meaning
. Now, define
so that, on each
, it is the scalar multiplication by
. Note that, in terms of a basis respecting the direct sum decomposition,
is a diagonal matrix; hence, it is a semisimple endomorphism. Since
is then
whose
-th power is zero, we also have that
is nilpotent, establishing the existence of the decomposition.
(Choosing a basis carefully on each
, one can then put ''x'' in the Jordan normal form and
are the diagonal and the off-diagonal parts of the normal form. But this is not needed here.)
The fact that
are polynomials in ''x'' follows from the
Chinese remainder theorem
In mathematics, the Chinese remainder theorem states that if one knows the remainders of the Euclidean division of an integer ''n'' by several integers, then one can determine uniquely the remainder of the division of ''n'' by the product of the ...
. Indeed,
let
be the
characteristic polynomial
In linear algebra, the characteristic polynomial of a square matrix is a polynomial which is invariant under matrix similarity and has the eigenvalues as roots. It has the determinant and the trace of the matrix among its coefficients. The ...
of ''x''. Then it is the product of the characteristic polynomials of
; i.e.,
, where
Also,
(because, in general, a nilpotent matrix is killed when raised to the size of the matrix). Now, the Chinese remainder theorem applied to the polynomial ring