Linear Algebra Transition Matrix Proof

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SUMMARY

The theorem states that if B, C, and D are ordered bases for a finite-dimensional vector space V, then the transition matrix QP from basis B to basis D can be derived by multiplying the transition matrix P from B to C with the transition matrix Q from C to D. The equations P[v]B = [v]C and Q[v]C = [v]D are fundamental in establishing this relationship. The proof involves demonstrating that the composition of these transformations results in the correct representation of vectors in the new basis D.

PREREQUISITES
  • Understanding of vector spaces and bases
  • Familiarity with transition matrices in linear algebra
  • Knowledge of matrix multiplication
  • Proficiency in linear transformations
NEXT STEPS
  • Study the properties of transition matrices in linear algebra
  • Learn about the implications of matrix multiplication on vector transformations
  • Explore examples of basis transformations in finite-dimensional vector spaces
  • Review proofs related to linear transformations and their representations
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Students of linear algebra, educators teaching vector spaces, and anyone interested in understanding matrix transformations and their proofs.

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Homework Statement



Prove the following theorem:
Suppose that B, C, and D are ordered bases for a nontrivial finite dimensional vector space V. let P be the transition matrix from B to C, and let Q be the transition matrix from C to D. Then QP is the transition matrix from B to D.

Homework Equations



For every v contained in V: P[v]B=[v]c
For every v contained in V: Q[v]c=[v]D

3. The Attempt at a Solution

Not sure how to go about doing this proof..don't even know where to start. Any help is greatly appreciated.
 
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Write out what you think QP could look like
 
Would it be the ith column of [bi]D?
But I'm still not sure what that looks like
 

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