Fundamentals of Matrix Algebra, 2011a
Fundamentals of Matrix Algebra, 2011a
Fundamentals of Matrix Algebra, 2011a
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Chapter 2<br />
<strong>Matrix</strong> Arithmec<br />
is that there is a matrix B where BA = I, then we also know that AB = I.<br />
That is, we know that B is the inverse <strong>of</strong> A (and hence A is inverble).<br />
(c) We use the same logic as in the previous statement to show why this is the<br />
same as “A is inverble.”<br />
(d) If A is inverble, we can find the inverse by using Key Idea 10 (which in turn<br />
depends on Theorem 5). The crux <strong>of</strong> Key Idea 10 is that the reduced row<br />
echelon form <strong>of</strong> A is I; if it is something else, we can’t find A −1 (it doesn’t<br />
exist). Knowing that A is inverble means that the reduced row echelon<br />
form <strong>of</strong> A is I. We can go the other way; if we know that the reduced row<br />
echelon form <strong>of</strong> A is I, then we can employ Key Idea 10 to find A −1 , so A is<br />
inverble.<br />
(e) We know from Theorem 8 that if A is inverble, then given any vector ⃗b,<br />
A⃗x = ⃗b has always has exactly one soluon, namely ⃗x = A −1 ⃗b. However,<br />
we can go the other way; let’s say we know that A⃗x = ⃗b always has exactly<br />
soluon. How can we conclude that A is inverble?<br />
Think about how we, up to this point, determined the soluon to A⃗x =<br />
⃗b. We set up the augmented matrix [ A ⃗b ] and put it into reduced row<br />
echelon form. We know that geng the identy matrix on the le means<br />
that we had a unique soluon (and not geng the identy means we either<br />
have no soluon or infinite soluons). So geng I on the le means having<br />
a unique soluon; having I on the le means that the reduced row echelon<br />
form <strong>of</strong> A is I, which we know from above is the same as A being inverble.<br />
(f) This is the same as the above; simply replace the vector ⃗b with the vector<br />
⃗0.<br />
So we came up with a list <strong>of</strong> statements that are all equivalent to the statement<br />
“A is inverble.” Again, if we know that if any one <strong>of</strong> them is true (or false), then<br />
they are all true (or all false).<br />
Theorem 9 states formally that if A is inverble, then A⃗x = ⃗b has exactly one solu-<br />
on, namely A −1 ⃗b. What if A is not inverble? What are the possibilies for soluons<br />
to A⃗x = ⃗b?<br />
We know that A⃗x = ⃗b cannot have exactly one soluon; if it did, then by our theorem<br />
it would be inverble. Recalling that linear equaons have either one soluon,<br />
infinite soluons, or no soluon, we are le with the laer opons when A is not inverble.<br />
This idea is important and so we’ll state it again as a Key Idea.<br />
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