Complete Norm on M_n(R): Questions & Hints

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    Banach Matrix Space
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Discussion Overview

The discussion revolves around the properties of a defined norm on the space of n x n matrices over the reals, M_n(R), specifically focusing on completeness, nonsingularity, and the openness of certain sets. Participants are seeking hints and insights on several related mathematical problems involving these norms.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning
  • Homework-related

Main Points Raised

  • Some participants question whether completeness might be easier to prove under a different norm and if there is a relationship between the two norms defined.
  • One participant suggests that proving completeness could lead to demonstrating the convergence of the series for (I-A)^{-1}.
  • Another participant discusses the calculation of ||B||* by transforming the problem into a calculus problem involving the map associated with matrix B.
  • A participant seeks clarification on how to show the inequality ||AB||* <= ||A||*||B||* and questions the definition of ||B||* in relation to the linear map associated with B.

Areas of Agreement / Disagreement

Participants express various viewpoints and approaches to the problems, indicating that multiple competing views remain without a consensus on the best methods or solutions.

Contextual Notes

There are unresolved assumptions regarding the relationship between the norms and the completeness of the space under different conditions. The discussion also reflects varying interpretations of the definitions involved in the problems.

Who May Find This Useful

Readers interested in advanced linear algebra, matrix theory, and the properties of norms in mathematical spaces may find this discussion relevant.

nubmathie
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Let M_n(R) be the n x n matrices over the reals R. Define a norm || || on M_n(R) by ||A||= sum of absolute values of all the entries of A. Further define a new norm || ||* by ||A||* = sup{||AX||/||X||, ||X||!=0}.
Show that

1. M_n(R) under || ||* is complete.
2. If ||A||<1, then I-A is nonsingular, where I is the identity matrix.
3. The set of nonsingular matrices in M_n(R) is open.
4. Find ||B||*, where B is 2x2 and b_11=1, b_12=2, b_21=3, b_22=4.

There is a series of over 10 questions on the norm || ||. I've solved most of them but I've been stuck on (have no clue for) these ones above for a week.

I'd appreciate any hints.
 
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Problem 1. Would completeness be easier in the other norm? Is there a relation between the norms?

Problem 2. Once you prove completeness, then you can show that the series for (I-A)^{-1} converges.

Problem 3. Use Problem 2.
 
For 4., notice that by linearity, if B' denotes the linear map associated to the matrix B, then ||B||*=sup{||B'(x)||: ||x||=1}. And R² can be identified (i.e. is isomorphic) as a normed linear space to C (via the correspondance (x,y)<-->x+iy). Under this correspondence, then, the map B' becomes the map C(x+iy)=(x + 2y) + i(3x + 4y) and so ||B||*==sup{||C(z)||: ||z||=1}. I have transported the problem from R² to C simply because in C, the unit vector are easily parametrized: they are just the e^it for t in [0,2pi]. And so the problem of finding ||B||* has been reduced to the simple calculus problem of finding max{||C(cos(t)+isin(t))||: t in [0,2pi]}.
 
Would you know how to show that ||AB||*<=||A||*||B||*? This would be helpful for Problem 2.

Also, how is ||B||* equal to sup{||B'(x)||: ||x||=1}? Notice that in my definition of || ||*, X refers to an nxn matrix.
 
Last edited:

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