OpenMath Content Dictionary: linalg4

Canonical URL:
http://www.openmath.org/cd/linalg4.ocd
CD Base:
http://www.openmath.org/cd
CD File:
linalg4.ocd
CD as XML Encoded OpenMath:
linalg4.omcd
Defines:
characteristic_eqn, columncount, eigenvalue, eigenvector, rank, rowcount, size
Date:
2004-03-30
Version:
3 (Revision 1)
Review Date:
2017-12-31
Status:
experimental


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  Author: OpenMath Consortium
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This CD defines symbols for basic linear algebra.

Regardless of the way of forming vectors and matrices, this CD deals with eigenvalues, eigenvectors and related concepts.


eigenvalue

Role:
application
Description:

This symbol represents the eigenvalue of a matrix. It takes two arguments the first should be the matrix, the second should be an index to specify the eigenvalue. The ordering imposed on the eigenvalues is first on the modulus of the value, and second on the argument of the value. A definition of eigenvalue is given in Elementary Linear Algebra, Stanley I. Grossman in Definition 1 of chapter 6, page 533.

Commented Mathematical property (CMP):
A*eigenvector(A,i) = eigenvalue(A,i)*eigenvector(A,i)
Formal Mathematical property (FMP):
A eigenvector ( A , i ) = eigenvalue ( A , i ) eigenvector ( A , i )
Signatures:
sts


[Next: eigenvector] [Last: columncount] [Top]

eigenvector

Role:
application
Description:

This symbol represents the eigenvector of a matrix. It takes two arguments the first should be the matrix, the second should be an index to specify which eigenvalue this eigenvector should be paired with. The ordering is as given in the eigenvalue symbol. A definition of eigenvector is given in Elementary Linear Algebra, Stanley I. Grossman in Definition 1 of chapter 6, page 533.

Commented Mathematical property (CMP):
A*eigenvector(A) = eigenvalue(A)*eigenvector(A)
Formal Mathematical property (FMP):
A eigenvector ( A , i ) = eigenvalue ( A , i ) eigenvector ( A , i )
Signatures:
sts


[Next: characteristic_eqn] [Previous: eigenvalue] [Top]

characteristic_eqn

Role:
application
Description:

This symbol represents the polynomial which appears in the left hand side of the characteristic equation of a matrix. It takes one argument which should be the matrix. A definition of the characteristic equation is given in Elementary Linear Algebra, Stanley I. Grossman in Definition 2 of chapter 6, page 535.

Commented Mathematical property (CMP):
p(eigenvalue(A,i)) = det(A-eigenvalue(A,i)I) = 0 where p is the characteristic equation of A
Formal Mathematical property (FMP):
( characteristic_eqn ( A ) ) ( eigenvalue ( A , i ) ) = 0 det A - eigenvalue ( A , i ) identity ( rowcount ( A ) ) = 0
Signatures:
sts


[Next: size] [Previous: eigenvector] [Top]

size

Role:
application
Description:

This symbol represents the function which takes one vector argument and returns the length of that vector.

Example:
the length of the vector [1,2,3] = 3
size ( ( 1 , 2 , 3 ) ) = 3
Signatures:
sts


[Next: rank] [Previous: characteristic_eqn] [Top]

rank

Role:
application
Description:

This symbol represents the function which takes one matrix argument and returns the number of linearly independent rows (or columns) of that matrix.

Commented Mathematical property (CMP):
the rank of an nxn identity matrix is n
Formal Mathematical property (FMP):
rank ( identity ( n ) ) = n
Signatures:
sts


[Next: rowcount] [Previous: size] [Top]

rowcount

Role:
application
Description:

This symbol represents the function which takes one matrix argument and returns the number of rows in that matrix.

Example:
Specification of the number of rows in the matrix: [[1 2] [3 4] [5 6]]
rowcount ( 1 2 3 4 5 6 )
Signatures:
sts


[Next: columncount] [Previous: rank] [Top]

columncount

Role:
application
Description:

This symbol represents the function which takes one matrix argument and returns the number of columns in that matrix.

Example:
Specification of the number of columns in the matrix: [[1 2] [3 4] [5 6]]
columncount ( 1 2 3 4 5 6 )
Signatures:
sts


[First: eigenvalue] [Previous: rowcount] [Top]