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  • What is the difference between the Frobenius norm and the 2-norm of a . . .
    For example, in matlab, norm (A,2) gives you induced 2-norm, which they simply call the 2-norm So in that sense, the answer to your question is that the (induced) matrix 2-norm is $\le$ than Frobenius norm, and the two are only equal when all of the matrix's eigenvalues have equal magnitude
  • What is the norm of a complex number? [duplicate]
    In number theory, the "norm" is the determinant of this matrix In that sense, unlike in analysis, the norm can be thought of as an area rather than a length, because the determinant can be interpreted as an area (or volume in higher dimensions ) However, the area volume interpretation only gets you so far
  • 2-norm vs operator norm - Mathematics Stack Exchange
    The operator norm is a matrix operator norm associated with a vector norm It is defined as $||A||_ {\text {OP}} = \text {sup}_ {x \neq 0} \frac {|A x|_n} {|x|}$ and different for each vector norm In case of the Euclidian norm $|x|_2$ the operator norm is equivalent to the 2-matrix norm (the maximum singular value, as you already stated) So every vector norm has an associated operator norm
  • Understanding L1 and L2 norms - Mathematics Stack Exchange
    I am not a mathematics student but somehow have to know about L1 and L2 norms I am looking for some appropriate sources to learn these things and know they work and what are their differences I am
  • Prove Operator Norm is a Norm on linear space [duplicate]
    Prove Operator Norm is a Norm on linear space [duplicate] Ask Question Asked 9 years, 11 months ago Modified 9 years, 11 months ago
  • How do I find the norm of a matrix? - Mathematics Stack Exchange
    I learned that the norm of a matrix is the square root of the maximum eigenvalue multiplied by the transpose of the matrix times the matrix Can anybody explain to me in further detail what steps I need to do after finding the maximum eigenvalue of the matrix below?
  • Zero power zero and $L^0$ norm - Mathematics Stack Exchange
    This definition of the "0-norm" isn't very useful because (1) it doesn't satisfy the properties of a norm and (2) $0^ {0}$ is conventionally defined to be 1
  • normed spaces - The difference between $L_1$ and $L_2$ norm . . .
    The $1$-norm and $2$-norm are both quite intuitive The $2$-norm is the usual notion of straight-line distance, or distance ‘as the crow flies’: it’s the length of a straight line segment joining the two points




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