Linear independence after change of basis

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SUMMARY

A set of vectors remains linearly independent after a change of basis, as linear independence is an intrinsic property that does not depend on the chosen basis. The discussion emphasizes the importance of using the correct basis-free definition of linear independence rather than relying on matrix representations, which may lead to confusion. Understanding this concept is crucial for anyone studying linear algebra and its applications.

PREREQUISITES
  • Linear algebra fundamentals
  • Understanding of vector spaces
  • Knowledge of basis and dimension concepts
  • Familiarity with matrix representations of vectors
NEXT STEPS
  • Study the basis-free definition of linear independence
  • Explore the implications of changing bases in vector spaces
  • Learn about the relationship between linear transformations and basis changes
  • Investigate examples of linear independence in different vector spaces
USEFUL FOR

Students and professionals in mathematics, particularly those studying linear algebra, as well as educators seeking to clarify concepts related to vector independence and basis transformations.

cscott
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Will a set of vectors stay linearly independent after a change of basis? If it's not always true then is it likely or would you need a really contrived situation?
 
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The linear independece or dependece of vectors does not depend on the chosen basis.
 
indeed. look at the definition. are you using some contrived matrix version of independence? or do you have the correct basis free definition?
 

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