b) The vector space of all symmetric n X n matrices
c) The vector space of all upper triangular n X n matrices© BrainMass Inc. brainmass.com October 10, 2019, 4:59 am ad1c9bdddf
The dimension of a vector space is the number of the basis vectors.
For example, let's look at the general space (all the matrices).
They are of the form:
Since we have four independent variables (the matrix entry) we have four degrees of freedom and therefore we have four basis vectors.
In this case, the standard basis is:
It is easy to see that indeed since:
And the basis matrices are linearly independent since if
We must have
Of course we can come up with other basis that will span this space, but we know that all of the bases must have the same number ...
The expert examines linear algebra for dimensions. Vector space is examined.