Logarithmic Norm

In mathematics, the logarithmic norm is a real-valued functional on operators, and is derived from either an inner product, a vector norm, or its induced operator norm. The logarithmic norm was independently introduced by Germund Dahlquist and Sergei Lozinskiĭ in 1958, for square matrices. It has since been extended to nonlinear operators and unbounded operators as well. The logarithmic norm has a wide range of applications, in particular in matrix theory, differential equations and numerical analysis.


Read more about Logarithmic Norm:  Original Definition, Alternative Definitions, Properties, Example Logarithmic Norms, Applications in Matrix Theory and Spectral Theory, Applications in Stability Theory and Numerical Analysis, Applications To Elliptic Differential Operators, Extensions To Nonlinear Maps

Famous quotes containing the word norm:

    To be told that our child’s behavior is “normal” offers little solace when our feelings are badly hurt, or when we worry that his actions are harmful at the moment or may be injurious to his future. It does not help me as a parent nor lessen my worries when my child drives carelessly, even dangerously, if I am told that this is “normal” behavior for children of his age. I’d much prefer him to deviate from the norm and be a cautious driver!
    Bruno Bettelheim (20th century)