Comparing Matrices: Understanding Notation and Inequalities

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SUMMARY

The discussion centers on the comparison of symmetric matrices, specifically addressing the notation used to express inequalities between matrices. The user presents a problem involving an n x n symmetric matrix Q and scalar multipliers e1 and e2, leading to the conclusion that if 0 < e1*I ≤ Q ≤ e2*I, then it follows that 1/e2 * I ≤ Q^-1 ≤ 1/e1 * I. The user seeks clarification on how to quantitatively compare matrices, noting that the comparison is valid only for Hermitian matrices, where A ≤ B implies that (B - A) is positive semi-definite.

PREREQUISITES
  • Understanding of symmetric matrices and their properties
  • Knowledge of positive semi-definite matrices
  • Familiarity with matrix inverses and their implications
  • Basic concepts of matrix norms and determinants
NEXT STEPS
  • Study the properties of Hermitian matrices and their implications in matrix inequalities
  • Learn about positive semi-definiteness and its role in matrix comparisons
  • Explore the concept of matrix norms and how they relate to matrix inequalities
  • Investigate the implications of matrix inverses in the context of symmetric matrices
USEFUL FOR

Mathematicians, students studying linear algebra, and anyone interested in advanced matrix theory and its applications in quantitative analysis.

dlh81
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I am having an issue with a problem, but mostly because I am confused by the notation. This is the question:

If Q is an n x n symmetric matrix and e1, e2 (e is epsilon) are such that
0 < e1*I </= Q </= e2*I

show that

1/e2 * I </= Q^-1 </= 1/e1 *I

( </= is less or equal to)



My question is how can a matrix be compared with another matrix in a quantitative manner (less than, less or equal to, greater than, etc.) I am familiar with norms or determinants being compared that way since they are a scalar, but how would n x n matricies be compared this way? Any suggestions?

Also I am assuming that the epsilons are scalar multipliers. The book I am using does not do a good job of clarifying this notation, but that is all I can imagine it would be.
 
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A<=B means that (B-A) is positive semi-definite. Of course this makes sense only when A, B are hermitian matrixes.
 
On a side note, <= is widely understood to mean "less than or equal to" and >= is understood to mean "greater than or equal to."
 

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