canonical basis
{{Short description|Basis of a type of algebraic structure}}
In mathematics, a canonical basis is a basis of an algebraic structure that is canonical in a sense that depends on the precise context:
- In a coordinate space, and more generally in a free module, it refers to the standard basis defined by the Kronecker delta.
- In a polynomial ring, it refers to its standard basis given by the monomials, .
- For finite extension fields, it means the polynomial basis.
- In linear algebra, it refers to a set of n linearly independent generalized eigenvectors of an n×n matrix , if the set is composed entirely of Jordan chains.{{harvtxt|Bronson|1970|p=196}}
- In representation theory, it refers to the basis of the quantum groups introduced by Lusztig.
Representation theory
The canonical basis for the irreducible representations of a quantized enveloping algebra of
type and also for the plus part of that algebra was introduced by Lusztig {{harvtxt|Lusztig|1990}} by
two methods: an algebraic one (using a braid group action and PBW bases) and a topological one
(using intersection cohomology). Specializing the parameter to yields a canonical basis for the irreducible representations of the corresponding simple Lie algebra, which was
not known earlier. Specializing the parameter to yields something like a shadow of a basis. This shadow (but not the basis itself) for the case of irreducible representations
was considered independently by Kashiwara;{{harvtxt|Kashiwara|1990}} it is sometimes called the crystal basis.
The definition of the canonical basis was extended to the Kac-Moody setting by Kashiwara {{harvtxt|Kashiwara|1991}} (by an algebraic method) and by Lusztig {{harvtxt|Lusztig|1991}} (by a topological method).
There is a general concept underlying these bases:
Consider the ring of integral Laurent polynomials with its two subrings and the automorphism defined by .
A precanonical structure on a free -module consists of
- A standard basis of ,
- An interval finite partial order on , that is, is finite for all ,
- A dualization operation, that is, a bijection of order two that is -semilinear and will be denoted by as well.
If a precanonical structure is given, then one can define the submodule of .
A canonical basis of the precanonical structure is then a -basis of that satisfies:
- and
for all .
One can show that there exists at most one canonical basis for each precanonical structure.{{harvtxt|Lusztig|1993|p=194}} A sufficient condition for existence is that the polynomials defined by satisfy and .
A canonical basis induces an isomorphism from to .
= Hecke algebras =
Let be a Coxeter group. The corresponding Iwahori-Hecke algebra has the standard basis , the group is partially ordered by the Bruhat order which is interval finite and has a dualization operation defined by . This is a precanonical structure on that satisfies the sufficient condition above and the corresponding canonical basis of is the Kazhdan–Lusztig basis
:
with being the Kazhdan–Lusztig polynomials.
Linear algebra
If we are given an n × n matrix and wish to find a matrix in Jordan normal form, similar to , we are interested only in sets of linearly independent generalized eigenvectors. A matrix in Jordan normal form is an "almost diagonal matrix," that is, as close to diagonal as possible. A diagonal matrix is a special case of a matrix in Jordan normal form. An ordinary eigenvector is a special case of a generalized eigenvector.
Every n × n matrix possesses n linearly independent generalized eigenvectors. Generalized eigenvectors corresponding to distinct eigenvalues are linearly independent. If is an eigenvalue of of algebraic multiplicity , then will have linearly independent generalized eigenvectors corresponding to .
For any given n × n matrix , there are infinitely many ways to pick the n linearly independent generalized eigenvectors. If they are chosen in a particularly judicious manner, we can use these vectors to show that is similar to a matrix in Jordan normal form. In particular,
Definition: A set of n linearly independent generalized eigenvectors is a canonical basis if it is composed entirely of Jordan chains.
Thus, once we have determined that a generalized eigenvector of rank m is in a canonical basis, it follows that the m − 1 vectors that are in the Jordan chain generated by are also in the canonical basis.{{harvtxt|Bronson|1970|pp=196,197}}
=Computation=
Let be an eigenvalue of of algebraic multiplicity . First, find the ranks (matrix ranks) of the matrices . The integer is determined to be the first integer for which has rank (n being the number of rows or columns of , that is, is n × n).
Now define
:
The variable designates the number of linearly independent generalized eigenvectors of rank k (generalized eigenvector rank; see generalized eigenvector) corresponding to the eigenvalue that will appear in a canonical basis for . Note that
:
Once we have determined the number of generalized eigenvectors of each rank that a canonical basis has, we can obtain the vectors explicitly (see generalized eigenvector).{{harvtxt|Bronson|1970|pp=197,198}}
=Example=
This example illustrates a canonical basis with two Jordan chains. Unfortunately, it is a little difficult to construct an interesting example of low order.{{harvtxt|Nering|1970|pp=122,123}}
The matrix
:
4 & 1 & 1 & 0 & 0 & -1 \\
0 & 4 & 2 & 0 & 0 & 1 \\
0 & 0 & 4 & 1 & 0 & 0 \\
0 & 0 & 0 & 5 & 1 & 0 \\
0 & 0 & 0 & 0 & 5 & 2 \\
0 & 0 & 0 & 0 & 0 & 4
\end{pmatrix}
has eigenvalues and with algebraic multiplicities and , but geometric multiplicities and .
For we have
: has rank 5,
: has rank 4,
: has rank 3,
: has rank 2.
Therefore
:
:
:
:
Thus, a canonical basis for will have, corresponding to one generalized eigenvector each of ranks 4, 3, 2 and 1.
For we have
: has rank 5,
: has rank 4.
Therefore
:
:
Thus, a canonical basis for will have, corresponding to one generalized eigenvector each of ranks 2 and 1.
A canonical basis for is
:
\left\{ \mathbf x_1, \mathbf x_2, \mathbf x_3, \mathbf x_4, \mathbf y_1, \mathbf y_2 \right\} =
\left\{
\begin{pmatrix} -4 \\ 0 \\ 0 \\ 0 \\ 0 \\ 0 \end{pmatrix},
\begin{pmatrix} -27 \\ -4 \\ 0 \\ 0 \\ 0 \\ 0 \end{pmatrix},
\begin{pmatrix} 25 \\ -25 \\ -2 \\ 0 \\ 0 \\ 0 \end{pmatrix},
\begin{pmatrix} 0 \\ 36 \\ -12 \\ -2 \\ 2 \\ -1 \end{pmatrix},
\begin{pmatrix} 3 \\ 2 \\ 1 \\ 1 \\ 0 \\ 0 \end{pmatrix},
\begin{pmatrix} -8 \\ -4 \\ -1 \\ 0 \\ 1 \\ 0 \end{pmatrix}
\right\}.
is the ordinary eigenvector associated with .
and are generalized eigenvectors associated with .
is the ordinary eigenvector associated with .
is a generalized eigenvector associated with .
A matrix in Jordan normal form, similar to is obtained as follows:
:
M =
\begin{pmatrix} \mathbf x_1 & \mathbf x_2 & \mathbf x_3 & \mathbf x_4 & \mathbf y_1 & \mathbf y_2 \end{pmatrix} =
\begin{pmatrix}
-4 & -27 & 25 & 0 & 3 & -8 \\
0 & -4 & -25 & 36 & 2 & -4 \\
0 & 0 & -2 & -12 & 1 & -1 \\
0 & 0 & 0 & -2 & 1 & 0 \\
0 & 0 & 0 & 2 & 0 & 1 \\
0 & 0 & 0 & -1 & 0 & 0
\end{pmatrix},
:
4 & 1 & 0 & 0 & 0 & 0 \\
0 & 4 & 1 & 0 & 0 & 0 \\
0 & 0 & 4 & 1 & 0 & 0 \\
0 & 0 & 0 & 4 & 0 & 0 \\
0 & 0 & 0 & 0 & 5 & 1 \\
0 & 0 & 0 & 0 & 0 & 5
\end{pmatrix},
where the matrix is a generalized modal matrix for and .{{harvtxt|Bronson|1970|p=203}}
See also
Notes
References
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