Finding the Dimension and Basis of the Matrix Vector space

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SUMMARY

The discussion centers on determining the dimension of the vector space M22(R) over the field K, where K consists of 2 × 2 real matrices of the form [a b; -b a]. The participant argues that a basis cannot exist over K since no linear combination of matrices in K can produce certain matrices in M22, specifically [1 0; 0 0]. The conversation explores potential combinations of matrices to form a basis, questioning whether real integers are necessary for the basis formation.

PREREQUISITES
  • Understanding of vector spaces and their properties
  • Familiarity with matrix operations and linear combinations
  • Knowledge of basis and dimension concepts in linear algebra
  • Experience with fields in the context of linear algebra
NEXT STEPS
  • Study the properties of vector spaces over fields, specifically in linear algebra
  • Learn about the concept of basis and dimension in vector spaces
  • Explore examples of linear combinations of matrices and their implications
  • Investigate the structure of the field K and its impact on matrix operations
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Students and educators in linear algebra, mathematicians exploring vector spaces, and anyone interested in the properties of matrices and their dimensions over specific fields.

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Homework Statement


The set K of 2 × 2 real matrices of the form [a b, -b a] form a field with the usual operations.
It should be clear to you that M22(R) is a vector space over K. What is the dimension of M22(R) over K? Justify your answer by displaying a basis and proving that the set displayed is actually a basis.


Homework Equations





The Attempt at a Solution



I don't think there can be a basis over the field K, because no linear combination of the matrices [a b, -b a] with any M22 can form, say [1 0, 0 0]. Which would be in M22. Any help would be greatly appreciated. Thanks!
 
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Could you do a combination say (0 a, 0 -b) (0 -b, 0 a), (a 0, b 0), (-b 0, a 0)? Could this form a basis? Or does it have to be real integers? thanks
 

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