Chapter 4 Review
Theorem: Let be a set of vectors of . Let be a matrix and be the linear transform defined by . Let be an echelon form of . Then the following objects are equal:
The set of vectors killed by ,
(this is the set of homogeneous solutions to ),
null(),
,
ker(),
number of rows of all zeros in ,
The set of vectors hit by ,
,
range(),
col(),
span(),
dim(col()),
dim(range()),
dim(span()),
- nullity() (rank-nullity theorem),
- dim(ker()),
dim(row()), (think of this as maximal number of linear independent equations in ),
number of pivots in ,
Example: Let , where is
and has reduce echelon form given by
What is the range of ?
What is the kernel of ?
What is the row space of ?
What is the rank of ?
What is the nullity of ?
Write the columns corresponding the free variables as a linear combination of the pivot columns.
What is the general solution to ?
What is the general solution to ?
What is a vector not in the range of ?
Example: Answer all the same questions as above but for an invertible transform.
Example: Give an example of a linear transform such that and .
What is the smallest possible rank such an example could be?
What is the largest possible rank such an example could be?
What is the smallest possible nullity such an example could be?
What is the largest possible nullity such an example could be?