Linear-Algebra-Done-Right Ā· Unit 7 Ā· Video 2 Ā· Interactive Practice
| Formula | Name | Hypotheses |
|---|---|---|
| injective surjective invertible | Equal dimensions | , (includes ) |
| Fundamental theorem, rearranged | finite-dimensional | |
| One-sided inverse is two-sided | , , | |
| every is some | Existence from injectivity | maps a finite-dimensional space such as to itself |
Key Insight: When , the fundamental theorem gives , so a null-space check settles surjectivity, and with it the existence of solutions to .
Since , equal dimensions make and the same condition.
š” Challenge: with , look for a map that is injective but not surjective; then make and find one at once.
On , is injective, so every equals for some .
With , forces ; on the shifts give but .
Problem 1 Ā· The Null Space Decides
Given: defined by ā decide which properties has.
Null space. means , , , so . Hence , which has dimension , and is not injective.
Range. By the fundamental theorem,
so is not surjective. This is what the equal-dimensions theorem predicts: on , failing injectivity forces failing surjectivity. Directly, the coordinates of every output add to , so for example .
Problem 2 Ā· Count the Dimensions
Given: is injective ā decide in which case must also be surjective.
The equal-dimensions theorem needs and finite-dimensional with . Check each case:
(a) : an injective has , so it is never surjective.
(b) : the theorem applies, and is surjective (indeed invertible).
(c) is infinite-dimensional; is injective but not surjective.
(d) , so as in (a) .
Only (b) forces surjectivity.
Problem 3 Ā· A One-Sided Inverse Between Different Dimensions
Given: , , and , , so on ā decide whether on .
First, , so on . In the other order,
so and .
No other can fix this. For every , , and by the fundamental theorem . So is never surjective, and in particular never . The theorem fails here only because .
Problem 4 Ā· Existence First, Then a Formula
Given: defined by ā justify that every equals for some , then find for .
Why does such a exist?
For ,
Existence. is linear, and for we have when is a nonzero non-constant polynomial ( when is constant), so maps into itself. If , the leading term of is the leading term of , so . Hence and is injective. Since and maps the space to itself, is surjective: every is for some .
The formula for . The leading coefficient of equals that of , so write . Then and
Matching with : , then , then . So .
Check: , and .
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