Linear Algebra question: finding bases

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SUMMARY

The discussion centers on proving that the set {A_1, A_2, A_3, A_4} forms a basis for the vector space M_2 R. To establish this, it is necessary to demonstrate either that the set is linearly independent or that it spans the space, given that M_2 R is a 4-dimensional vector space. The key insight is that if one property is satisfied, the other follows due to the properties of bases. The determinant of the 4x4 coefficient matrix must be non-zero to confirm linear independence.

PREREQUISITES
  • Understanding of vector spaces and bases in linear algebra
  • Knowledge of linear independence and spanning sets
  • Familiarity with determinants and their significance in linear algebra
  • Concept of dimensionality in vector spaces
NEXT STEPS
  • Study the properties of vector spaces, specifically M_2 R
  • Learn how to compute determinants of matrices
  • Explore the concept of linear independence in depth
  • Review theorems related to bases and dimensionality in linear algebra
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Students of linear algebra, educators teaching vector space concepts, and anyone seeking to understand the foundations of matrix theory and basis determination.

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Homework Statement



The problem states:

Let

A_1 = [-1 1] , A_2 = [1 3]
...[0 1]...[-1 0]

A_3 = [1 0] , A_4 = [0 -1]
...[1 2]...[2 3]

Show that {A_1, A_2, A_3, A_4} is a basis for M_2 R.

The attempt at a solution

I'm very confused about this problem. I understand that to show {A_1, ..., A_4} is a basis, I must show 1.) the set is linearly independent, and 2.) it is a spanning set; however, I know there is a less complicated way instead of going through these 2 steps. I'm really not sure what the "easy" way is for doing this problem... it hints that there is a Thm that will help solve the problem, but I have found none that fit the bill. Can someone please help me with all this?
 
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A basis, for a vector space of dimension n, satisfies 3 properties:
1) it spans the space
2) it is independent
3) it contains n vectors.

If any two of those are true the third must be. If you know, or are given, that M_2 R is a 4 dimensional vector space, that might be the theorem you are referring to. Since this set contains 4 matrices, (3) above is clearly satisfied and you only need to prove either (1) or (2), not both.

If you do not know that the M_2 R is 4 dimensional, then you will need to prove both (1) and (2), and, honestly, they are not that difficult! Both reduce to 4 equations in 4 unknowns and you really only need to show that those equations have a unique solution- which is true if the 4 by 4 coefficient matrix does not have 0 determinant. It would probably take you less time than waiting for a response on the internet.
 

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