Math 2.0

Linear and multilinear algebra; matrix theory Definition

Condition number

Builds on Invertible matrixMatrix normOperator normSingular value

Definition

Let 𝕂\mathbb{K} be ℝ\R or ℂ\C, let n≥1n \ge 1, and let ∥⋅∥\norm{\cdot} be a submultiplicative matrix norm on 𝕂n×n\mathbb{K}^{n \times n}. Let AA be an invertible n×nn \times n matrix over 𝕂\mathbb{K}. The condition number of AA with respect to ∥⋅∥\norm{\cdot} is κ(A)=∥A∥ ∥A−1∥.\kappa(A) = \norm{A} \, \norm{A^{-1}}.

Remarks

By convention, κ(A)=∞\kappa(A) = \infty when AA is not invertible. If ∥⋅∥\norm{\cdot} is an operator norm, then κ(A)≥∥AA−1∥=∥I∥=1\kappa(A) \ge \norm{A A^{-1}} = \norm{I} = 1. For the operator norm of the Euclidean norm, κ2(A)=σmax⁡/σmin⁡\kappa_2(A) = \sigma_{\max} / \sigma_{\min}, the ratio of the largest and smallest singular values. If Ax=bAx = b with b≠0b \ne 0 and A(x+δx)=b+δbA(x + \delta x) = b + \delta b, then ∥δx∥/∥x∥≤κ(A) ∥δb∥/∥b∥\norm{\delta x} / \norm{x} \le \kappa(A) \, \norm{\delta b} / \norm{b} for the operator norm of a vector norm. Example: A=(10010−3)A = \begin{pmatrix} 1 & 0 \\ 0 & 10^{-3} \end{pmatrix} has ∥A∥2=1\norm{A}_2 = 1 and ∥A−1∥2=103\norm{A^{-1}}_2 = 10^{3}, so κ2(A)=103\kappa_2(A) = 10^3. Non-example: (1111)\begin{pmatrix} 1 & 1 \\ 1 & 1 \end{pmatrix} is not invertible, so the formula does not apply.

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  1. Invertible matrix concept
  2. Matrix norm concept
  3. Operator norm concept
  4. Singular value concept
  5. Condition number definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Condition_number
About this page
TagQQW1AWRFZH
URIm2://QQW1AWRFZH
Kinddefinition
WritingW0 stub
MSC15A12, 65F35
DefinesCondition number
UsesInvertible matrix, Matrix norm, Operator norm, Singular value
Changed2 November 2026

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