Proving the Frobenius Norm as a Matrix Norm

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SUMMARY

The Frobenius norm, defined as ||A||_F = sqrt{Ʃ(i=1..m)Ʃ(j=1..n)|A_ij|^2}, is confirmed to be a matrix norm by satisfying three essential properties: non-negativity (f(A) >= 0), subadditivity (f(A+B) <= f(A)+f(B)), and absolute homogeneity (f(αA) = |α|f(A)). Each property must be rigorously proven for all matrices A and B in ℝ^(mxn). The discussion emphasizes the need for clear proofs of these properties to establish the Frobenius norm's validity as a matrix norm.

PREREQUISITES
  • Understanding of matrix algebra and properties of norms
  • Familiarity with the definition and calculation of the Frobenius norm
  • Knowledge of vector spaces and their properties
  • Basic proficiency in mathematical proofs and inequalities
NEXT STEPS
  • Study the proof of the non-negativity property for the Frobenius norm
  • Explore the triangle inequality in the context of matrix norms
  • Investigate absolute homogeneity and its implications for scalar multiplication of matrices
  • Review examples of other norms in vector spaces for comparative analysis
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Students and educators in linear algebra, mathematicians focusing on matrix theory, and anyone interested in understanding the properties of matrix norms.

tinorina
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Homework Statement


Prove that the Frobenius norm is indeed a matrix norm.


Homework Equations


The definition of the the Frobenius norm is as follows:
||A||_F = sqrt{Ʃ(i=1..m)Ʃ(j=1..n)|A_ij|^2}


The Attempt at a Solution


I know that in order to prove that the Frobenius norm is indeed a matrix norm, it must satisfy the 3 properties of matrix norm, which are as follows:
1. f(A) >= 0, for all A in ℝ^(mxn) (f(A)=0 iff A=0)
2. f(A+B) <= f(A)+f(B), for all A, B in ℝ^(mxn)
3. f(αA) = |α|f(A), for all α in ℝ, A in ℝ^(mxn)

However, I'm not exactly sure how to go about proving each of the properties. Can someone please give me some hints? Thanks!
 
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Do you know any vectorspaces with similar norms?
Maybe you can relate the properties of those norms to this one!
 
tinorina said:

Homework Statement


Prove that the Frobenius norm is indeed a matrix norm.


Homework Equations


The definition of the the Frobenius norm is as follows:
||A||_F = sqrt{Ʃ(i=1..m)Ʃ(j=1..n)|A_ij|^2}


The Attempt at a Solution


I know that in order to prove that the Frobenius norm is indeed a matrix norm, it must satisfy the 3 properties of matrix norm, which are as follows:
1. f(A) >= 0, for all A in ℝ^(mxn) (f(A)=0 iff A=0)
2. f(A+B) <= f(A)+f(B), for all A, B in ℝ^(mxn)
3. f(αA) = |α|f(A), for all α in ℝ, A in ℝ^(mxn)

However, I'm not exactly sure how to go about proving each of the properties. Can someone please give me some hints? Thanks!

So, what difficulties are you having proving property 1? Where is your problem proving property 3?

RGV
 

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