Taking vectors from one basis to another [Byron and Fuller]

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    Basis Vectors
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SUMMARY

The discussion centers on the transformation of vectors between bases as presented by Byron and Fuller. The key equation to demonstrate is that \( a_{k i} a_{k j} = \delta_{i j} \). The participants agree that showing \( \delta_{i j} = a_{i k} a_{j k} \) and utilizing the properties of the inner product and matrix transposition suffices to prove the relationship. Additionally, the importance of rigor in mathematical notation and the properties of orthogonal matrices are emphasized.

PREREQUISITES
  • Understanding of inner products in vector spaces
  • Familiarity with matrix transposition and orthogonal matrices
  • Knowledge of basis transformations in linear algebra
  • Experience with mathematical notation and proofs
NEXT STEPS
  • Study the properties of orthogonal matrices and their implications in linear transformations
  • Learn about the commutative property of inner products in vector spaces
  • Explore matrix transposition and its applications in linear algebra
  • Review the concept of basis transformations and their mathematical significance
USEFUL FOR

Students and professionals in mathematics, particularly those focusing on linear algebra, vector spaces, and transformations, will benefit from this discussion.

Elwin.Martin
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B&F have the following:
\delta_{i j} = e'_i \cdot e'_j = a_{i k} \left( e_k \cdot e'_j \right) = a_{i k} a_{j k}

and they ask the reader to show that
a_{k i} a_{k j} = \delta_{i j}

Does it suffice to show the following? :

\delta_{i j} = a_{i k} a_{j k} \to \delta_{j i} = \left( a_{i k} a_{j k} \right)^T = a_{k i} a_{k j}
and note that

\delta_{j i} = \delta_{i j}
?

I believe this is sufficient, but I have a feeling I short-cut this.
 
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Elwin.Martin said:
B&F have the following:
\delta_{i j} = e'_i \cdot e'_j = a_{i k} \left( e_k \cdot e'_j \right) = a_{i k} a_{j k}

and they ask the reader to show that
a_{k i} a_{k j} = \delta_{i j}

Does it suffice to show the following? :

\delta_{i j} = a_{i k} a_{j k} \to \delta_{j i} = \left( a_{i k} a_{j k} \right)^T = a_{k i} a_{k j}
and note that

\delta_{j i} = \delta_{i j}
?

I believe this is sufficient, but I have a feeling I short-cut this.

Hey Elwin.Martin.

One suggestion for you is to use the fact that the inner product is commutative. So swap the e^k and the e'^j around, to show the result.

One note is that you can't just take things like this for granted: it's a pain in the arse but its just a necessary habit in mathematics. However in saying this, things will become more intuitive as you get more experience with them.
 
I'm not a fan of notation like ##\left( a_{i k} a_{j k} \right)^T##. The transpose operation acts on matrices, not numbers. I'd write ##a_{ki}a_{kj}=(A^T)_{ik}A_{kj}=(A^TA)_{ij}##. If the matrix A is known to be orthogonal, then ##A^TA=I##, and the right-hand side of the first equality is ##\delta_{ij}##.
 

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