where:
- : matrix in the old basis
- : matrix in the new basis
- : change of basis matrix
Mnemonic is as follows: consider we have an initial basis . Now, we define the new basis in terms of the old basis, e.g.:which can be written in matrix form as:and so if we set:we have:
The usual question then is: given a vector in the new basis, how do we represent it in the old basis?
That is the matrix inverse.
When we have a symmetric matrix, a change of basis keeps symmetry iff it is done by an orthogonal matrix, in which case:
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In linear algebra, a **basis** is a set of vectors in a vector space that satisfies two key properties: 1. **Spanning**: The set of vectors spans the vector space, meaning that any vector in the space can be expressed as a linear combination of the vectors in the basis.