Linear Algebra: basis and matrices

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SUMMARY

This discussion focuses on the relationship between linear transformations and matrix representations in different bases. Specifically, it addresses the challenge of determining the new basis \( v \) given a matrix \( A \) in basis \( u \) (denoted as \( A_u \)) and its representation \( A_v \) in an unknown basis. The consensus is that it is generally impossible to find the new basis \( v \) solely from the information provided, as demonstrated by the identity matrix, which retains its form across all bases.

PREREQUISITES
  • Understanding of linear transformations
  • Familiarity with matrix representation in different bases
  • Knowledge of identity matrices and their properties
  • Basic concepts of vector spaces
NEXT STEPS
  • Study the properties of linear transformations in depth
  • Learn about change of basis techniques in linear algebra
  • Explore the implications of the identity matrix across various bases
  • Investigate the relationship between vector spaces and their bases
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Students and professionals in mathematics, particularly those studying linear algebra, as well as educators teaching concepts related to matrix transformations and vector spaces.

Shadowz
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Hi,

I have a question about linear transformation. So given a matrix A in the basis u (denoted as A_u). Now in another basis that I don't know, A_u becomes A_v.

How can I find v? (I know u, A_u and A_v).

Thank you very much,
 
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You can't in general. For instance the identity matrix has in any basis the same form:

[tex](I_u)_{ij}=(I_v)_{ij}=\delta_{ij}.[/tex]
 

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