Dashboard

Featured nodes

Roots

  • Public root

Templates

  • Test template
  • iCorps template
  • Guanyu's Latex template
  • Ivar's latex template
  • Family Tree template
  • Latex template
  • Router template

Trees

  • Public trees

Orphans

  • Browse orphan nodes
Related nodes

Parents1

  • Particular types of matrices

Siblings24
  • Sort by title
  • Sort by date

  • Echelon matrices
  • Definition of unit matrix
  • Definition of permutation matrix
  • Elementary matrices
  • Triangular matrices
  • Block matrices
  • Symmetric matrices
  • Nilpotent matrices
  • Definition of orthogonal matrix
  • Unitary matrices
  • Definition of band matrix
  • Definition of Vandermonde matrix
  • Definition of Markov matrix
  • Hermitian matrices
  • Normal matrices
  • The eigenvalues of a triangular matrix are the entries on the main diagonal.
  • A matrix with real entries has eigenvalues occurring in conjugate pairs.
  • Hermitian matrices have real eigenvalues.
  • Distinct eigenvalues of a Hermitian matrix have orthogonal eigenvectors.
  • Definition of positive-definite matrix
  • Formula for the determinant of a 2-by-2 matrix.
  • Formula for the determinant of a 3-by-3 matrix.
  • The determinant of a triangular matrix is the product of the entries on the diagonal.
  • Theorem describing the determinants of elementary matrices.
Knowenβ
  • Help
    • Welcome to Knowen!
    • Edit test node (no login required)
    • Create new test node (no login required)
  • Not logged in
    • Sign in
    • Sign up

History & Comments

Back

Fill content

Description:Added definition of band matrix
# Definition of band matrix

Put content here**Definition:** A **band matrix** is a sparse matrix whose nonzero entries are confined to a diagonal band around the main diagonal. A matrix with **lower bandwidth** $p$ and **upper bandwidth** $q$ satisfies:
⏎
$$a_{ij} = 0 \quad \text{whenever} \quad i - j > p \; \text{or} \; j - i > q$$
⏎
The **total bandwidth** is $p + q + 1$.
⏎
**Special cases:**
- Tridiagonal ($p = q = 1$): nonzero only on main diagonal and adjacent diagonals
- Diagonal ($p = q = 0$): nonzero only on main diagonal
- Upper bidiagonal ($p = 0, q = 1$)
- Lower bidiagonal ($p = 1, q = 0$)
⏎
**Example (tridiagonal):**
$$A = \begin{pmatrix} 2 & 1 & 0 & 0 \\ 1 & 2 & 1 & 0 \\ 0 & 1 & 2 & 1 \\ 0 & 0 & 1 & 2 \end{pmatrix}$$
⏎
Band matrices arise frequently in numerical solutions of differential equations. Specialized algorithms can solve band systems in $O(n)$ time vs $O(n^3)$ for general matrices.

# Parents

* Particular types of matrices
Sign in to add a new comment

Contact us or leave feedback

© KTree Inc. 2026