PlanetMath (more info)
 Math for the people, by the people.
Encyclopedia | Requests | Forums | Docs | Wiki | Random | RSS  
Login
create new user
name:
pass:
forget your password?
Main Menu
Owner confidence rating: High Entry average rating: No information on entry rating
[parent] triangular matrix (Definition)

Triangular Matrix

Let $ n$ be a positive integer.

An upper triangular matrix is of the form:

$\displaystyle \begin{bmatrix} a_{11} & a_{12} & a_{13} & \cdots & a_{1n} \ 0 ... ...vdots & \vdots & \ddots & \vdots \ 0 & 0 & 0 & \cdots & a_{nn} \end{bmatrix} $

An upper triangular matrix is sometimes also called right triangular.

A lower triangular matrix is of the form:

$\displaystyle \begin{bmatrix} a_{11} & 0 & 0 & \cdots & 0 \ a_{21} & a_{22} &... ...& \ddots & \vdots \ a_{n1} & a_{n2} & a_{n3} & \cdots & a_{nn} \end{bmatrix} $

A lower triangular matrix is sometimes also called left triangular.

Note that upper triangular matrices and lower triangular matrices must be square matrices.

A triangular matrix is a matrix that is an upper triangular matrix or lower triangular matrix. Note that some matrices, such as the identity matrix, are both upper and lower triangular. A matrix is upper and lower triangular simultaneously if and only if it is a diagonal matrix.

Triangular matrices allow numerous algorithmic shortcuts in many situations. For example, if $ A$ is an $ n\times n$ triangular matrix, the equation $ Ax=b$ can be solved for $ x$ in at most $ n^2$ operations.

In fact, triangular matrices are so useful that much computational linear algebra begins with factoring (or decomposing) a general matrix or matrices into triangular form. Some matrix factorization methods are the Cholesky factorization and the LU-factorization. Even including the factorization step, enough later operations are typically avoided to yield an overall time savings.

Properties

Triangular matrices have the following properties (prefix “triangular” with either “upper” or “lower” uniformly):

  • The inverse of a triangular matrix is a triangular matrix.
  • The product of two triangular matrices is a triangular matrix.
  • The determinant of a triangular matrix is the product of the diagonal elements.
  • The eigenvalues of a triangular matrix are the diagonal elements.

The last two properties follow easily from the cofactor expansion of the triangular matrix.



"triangular matrix" is owned by Wkbj79. [ full author list (2) | owner history (1) ]
(view preamble)

View style:

Also defines:  upper triangular, lower triangular, upper triangular matrix, lower triangular matrix, right triangular, right triangular matrix, left triangular, left triangular matrix

This object's parent.

Attachments:
theorem for normal triangular matrices (Theorem) by Mathprof
Log in to rate this entry.
(view current ratings)

Cross-references: cofactor expansion, eigenvalues, diagonal, determinant, product, inverse, properties, LU-factorization, Cholesky factorization, matrix factorization, linear algebra, operations, equation, diagonal matrix, identity matrix, matrix, square matrices, integer, positive
There are 43 references to this entry.

This is version 9 of triangular matrix, born on 2002-01-16, modified 2007-04-19.
Object id is 1483, canonical name is TriangularMatrix.
Accessed 41729 times total.

Classification:
AMS MSC15-00 (Linear and multilinear algebra; matrix theory :: General reference works )
 65-00 (Numerical analysis :: General reference works )

Pending Errata and Addenda
None.
[ View all 5 ]
Discussion
Style: Expand: Order:
forum policy

No messages.

Interact
post | correct | update request | add derivation | add example | add (any)