Frobenius Norm

DOWNLOAD Mathematica Notebook

The Frobenius norm, sometimes also called the Euclidean norm (a term unfortunately also used for the vector L^2-norm), is matrix norm of an m×n matrix A defined as the square root of the sum of the absolute squares of its elements,

 ||A||_F=sqrt(sum_(i=1)^msum_(j=1)^n|a_(ij)|^2)

(Golub and van Loan 1996, p. 55).

The Frobenius norm can also be considered as a vector norm.

It is also equal to the square root of the matrix trace of AA^(H), where A^(H) is the conjugate transpose, i.e.,

 ||A||_F=sqrt(Tr(AA^(H))).

The Frobenius norm of a matrix m is implemented as Norm[m, "Frobenius"] and of a vector v as Norm[v, "Frobenius"].

Wolfram Web Resources

Mathematica »

The #1 tool for creating Demonstrations and anything technical.

Wolfram|Alpha »

Explore anything with the first computational knowledge engine.

Wolfram Demonstrations Project »

Explore thousands of free applications across science, mathematics, engineering, technology, business, art, finance, social sciences, and more.

Computerbasedmath.org »

Join the initiative for modernizing math education.

Online Integral Calculator »

Solve integrals with Wolfram|Alpha.

Step-by-step Solutions »

Walk through homework problems step-by-step from beginning to end. Hints help you try the next step on your own.

Wolfram Problem Generator »

Unlimited random practice problems and answers with built-in Step-by-step solutions. Practice online or make a printable study sheet.

Wolfram Education Portal »

Collection of teaching and learning tools built by Wolfram education experts: dynamic textbook, lesson plans, widgets, interactive Demonstrations, and more.

Wolfram Language »

Knowledge-based programming for everyone.