Unitary matrix by Ciro Santilli 37 Updated 2025-07-16
Applications:
The dot product is a positive definite matrix, and so we see that those will have an important link to familiar geometry.
Skew-symmetric matrix by Ciro Santilli 37 Updated 2025-07-16
WTF is a skew? "Antisymmetric" is just such a better name! And it also appears in other definitions such as antisymmetric multilinear map.
Change of basis by Ciro Santilli 37 Updated 2025-07-16
where:
Change of basis matrix by Ciro Santilli 37 Updated 2025-07-16
The change of basis matrix is the matrix that allows us to express the new basis in an old basis:
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?
The answer is that we simply have to calculate the matrix inverse of :
That is the matrix inverse.
Every vector space is defined over a field.
E.g. in , the underlying field is , the real numbers. And in the underlying field is , the complex numbers.
Any field can be used, including finite field. But the underlying thing has to be a field, because the definitions of a vector need all field properties to hold to make sense.
Elements of the underlying field of a vector space are known as scalar.

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