then every basis of H must consist of exactly p vectors
Back
The Rank Theorem
Front
If a matrix A has n columns, then rank A + dimNulA = n.
Back
The Invertible Matrix Theorem (Continued)
Front
Let A be an nxn matrix. Then the following statements are each equivalent to the statement that A is an invertible matrix.
1) The columns of A form a basis of R^n
2) Col A = R^n
3) dimColA = n
4) rank A = n
5) NulA = {0}
6) dimNulA = 0
Back
The Basis Theorem
Front
Let H be a p-dimensional subspace of R^n. Any linearly independent set of exactly p elements in H is automatically a basis for H. Also, any set of p elements of H the spans H is automatically a basis for H.
Back
Dimension (of nonzero subspace H) (dimH)
Front
the number of vectors in any basis for H
Back
Coordinates of x relative to the basis B
Front
weights c1, ..., cp such that x=c1b1 + ... + cpbp, and the vector in R^p.
*Suppose the set B={b1, ..., bp} is a basis for a subspace H
Back
Isomorphism (H is isomorphic to R^n)
Front
the correspondence x I-> [x]B is a one-to-one correspondence between H and R^n that preserves linear combinations (preserves the "look" of H)
Back
Coordinate Vector of x (Relative to B) (otherwise known as the B-Coordinate Vector of x)