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Every square matrix has
associated with it a special
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quantity called its determinant.
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And determinants turn out to be
very useful when it comes to
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doing more advanced things with
matrices like finding inverse
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matrices and solving
simultaneous equations and later
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videos will cover these topics
were going in this video. Just
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look at finding the determinant
of a two by two square matrix.
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So let's look at an example.
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Suppose we have a matrix A.
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Which is got entries
in it elements in it
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435 and minus one.
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So this is a two by two matrix.
It's a square matrix.
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Now the determinant is a single
value. It's a value that's
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generated by combining the
numbers within the matrix in a
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special way for two by two
matrices. The way isn't
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particularly hard, but equally
it's not particularly obvious
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that you would do it this way,
so we need to just see an
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example, so we want to find the
determinant of A and we normally
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denote that by the letters Det
being the first 3 letters of
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determinant. So we right.
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Debt of a.
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A moment working out
determinants instead of using
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round brackets around the
matrix, we use vertical lines.
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But the numbers within the
vertical lines are exactly
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the same.
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And now we have to combine
those numbers.
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The first thing we do is we look
at the numbers on the leading
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diagonal. That's the four and
the minus one. And what we do is
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we find their product, we
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multiply them together. So 4 *
-- 1 Now having dealt with the
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numbers on the leading diagonal,
we've got 2 numbers left. The
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numbers that aren't on the
leading diagonal, and so we
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multiply those two numbers
together. So that's 3 * 5.
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So we've got the product of the
numbers on the leading
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diagonal, and we've got the
product. The numbers that are
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not on the diagonal, and then
we just take this second
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product away from the first
product.
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And then we work it out 4 * -- 1
is minus four. 3 * 5 is 15, so
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we take away 15 -- 4 takeaway.
15 is minus 19.
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And so that's how we do every
single determinant for a two by
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two matrix. We simply find the
product of the numbers on the
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leading diagonal and take away
from that the product of the
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other two numbers. So let's do
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another example. Here's another
two by two matrix B with
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elements 6, two.
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Three and five.
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And to workout the
determinant of B.
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We find the product of the
numbers on the leading diagonal
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is 6 and five. Then we take away
the product of the two numbers.
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Those two numbers are two and
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three. So we're taking
away 2 * 3.
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So 6 * 5 is 32 *
3 is 630 takeaway 6, and
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we're getting 24.
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The one more example here. So we
got the matrix D.
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Which has got entries 64.
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Three and two. Now when we
workout, the determinant of D.
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New the product, the numbers on
the leading diagonal is 6 * 2.
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Then we take away the product of
the two numbers, which is 3 * 4.
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So 6 * 2 is 12. Taking away 3
* 4, she's also 12, and so we
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get the answer 0.
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So we see that every time we
workout the determinant, what we
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get is a single number.
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Determinant of a is minus 19 the
determinant of B is 24
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determinant of D is 0.
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Now when a matrix has a zero
determinant, it has a especially
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given name to that property. We
say that the matrix is singular.
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So any matrix which is singular
is a square matrix whose
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determinant is 0.
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These other matrices, where
the determinant wasn't zero
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are called nonsingular.
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So it doesn't matter what the
determinant is, just so long as
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it isn't zero. That makes the
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matrix nonsingular. Finally,
we'll just look at a general two
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by two matrix. So here we have a
matrix A and the entries the
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elements in this matrix RABC&D.
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If you want to workout
the determinant of a.
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We just follow the process we've
already seen. We take the values
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that are on the leading
diagonal. We multiply them
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together to get a D. We take the
other two values and multiply
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them together. It should be in C
and we subtract this second
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product away from the first
product, and so this is the
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general formula for any two by
two matrix. The elements are
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ABCD. The determinant is worked
out to be a * D minus.
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B * C.
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So that's all there is to know
about 2, but the determinants of
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two by two matrices.