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We learned in the last several
videos, that if I had a linear
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differential equation with
constant coefficients in a
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homogeneous one, that had the
form A times the second
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derivative plus B times the
first derivative plus C
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times-- you could say the
function, or the 0
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derivative-- equal to 0.
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If that's our differential
equation that the
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characteristic equation of that
is Ar squared plus Br
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plus C is equal to 0.
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And if the roots of this
characteristic equation are
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real-- let's say we have
two real roots.
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Let me write that down.
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So the real scenario where the
two solutions are going to be
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r1 and r2, where these
are real numbers.
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Then the general solution of
this differential equation--
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and watch the previous videos if
you don't remember this or
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if you don't feel like it's
suitably proven to you-- the
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general solution is y is equal
to some constant times e to
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the first root x plus some other
constant times e to the
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second root times x.
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And we did that in the
last several videos.
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We even did some examples.
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Now my question to you is, what
if the characteristic
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equation does not
have real roots,
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what if they are complex?
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And just a little bit
of review, what
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do I mean by that?
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Well, if I wanted to figure out
the roots of this and if I
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was lazy, and I just want to do
it without having to think,
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can I factor it, I would just
immediately use the quadratic
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equation, because that
always works.
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I would say, well the roots of
my characteristic equation are
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negative B plus or minus
the square root of B
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squared minus 4AC.
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All of that over 2A.
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So what do I mean by
non-real roots?
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Well, if this expression right
here-- if this B squared minus
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4AC-- if that's a negative
number, then I'm going to have
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to take the square root
of a negative number.
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So it will actually be an
imaginary number, and so this
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whole term will actually
become complex.
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We'll have a real part and
an imaginary part.
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And actually, the two roots are
going to be conjugates of
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each other, right?
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We could rewrite this in the
real and imaginary parts.
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We could rewrite this as the
roots are going to be equal to
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minus B over 2A, plus or minus
the square root of B squared
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minus 4AC over 2A.
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And if B squared minus 4AC is
less than 0, this is going to
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be an imaginary number.
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So in that case, let's just
think about what the roots
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look like generally and then
we'll actually do some
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problems. So let me
go back up here.
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So then the roots aren't
going to be two real
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numbers like that.
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The roots, we can write them
as two complex numbers that
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are conjugates of each other.
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And I think light blue is a
suitable color for that.
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So in that situation, let me
write this, the complex
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roots-- this is a complex roots
scenario-- then the
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roots of the characteristic
equation are going to be, I
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don't know, some number--
Let's call it lambda.
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Let's call it mu, I think that's
the convention that
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people use-- actually let me see
what they tend to use, it
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really doesn't matter--
let's say it's lambda.
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So this number, some constant
called lambda, and then plus
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or minus some imaginary
number.
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And so it's going to be
some constant mu.
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That's just some constant, I'm
not trying to be fancy, but
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this is I think the convention
used in most differential
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equations books.
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So it's mu times i.
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So these are the two
roots, and these
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are true roots, right?
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Because we have lambda plus mu
i, and lambda minus mu i.
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So these would be the two roots,
if B squared minus 4AC
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is less than 0.
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So let's see what happens when
we take these two roots and we
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put them into our general
solution.
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So just like we've learned
before, the general solution
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is going to be-- I'll stay in
the light blue-- the general
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solution is going to be y is
equal to c1 times e to the
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first root-- let's make that
the plus version-- so
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lambda plus mu i.
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All of that times x, plus c2
times e to the second root.
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So that's going to be lambda
minus mu i times x.
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Let's see if we can do some
simplification here, because
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that i there really kind of
makes things kind of crazy.
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So let's see if we can do
anything to either get rid of
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it or simplify it, et cetera.
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So let's multiply the x out.
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Just doing some algebraic
manipulation.
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I'm trying to use as much
space as possible.
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So we get y is equal to
c1 e to the what?
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Lambda x-- just distributing
that x-- plus mu xi, plus c2
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times e to the lambda
x minus mu xi.
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Just distributed the x's
in both of the terms.
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And let's see what we can do.
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Well, when you add exponents,
this is the exact same thing
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as y is equal to c1 e to
the lambda x, times e
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to the mu xi, right?
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If you have the same base and
you're multiplying, you could
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just add exponents, so this
is the same thing as that.
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Plus c2 times e to the lambda x,
times e to the minus mu xi.
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Now let's see, we have an e to
the lambda x in both of these
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terms, so we can
factor it out.
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So we get y is equal to-- let
me draw a line here, I don't
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want you to get confused with
all this quadratic equation
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stuff-- y is equal to e to the
lambda x times c1 e to the mu
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xi-- that's an i-- plus c2 times
e to the minus mu xi.
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Now what we can we do?
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And this is where it gets fun.
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If you watched the calculus
playlist, especially when I
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talk about approximating
functions with series, we came
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up with what I thought was the
most amazing result in
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calculus, just from a-- or in
mathematics-- just from a
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metaphysical point of view.
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And now we will actually use it
for something that you'll
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hopefully see is
vaguely useful.
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So here we have two terms that
have something times e to the
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something times i.
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And we learned before,
Euler's formula.
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And what was Euler's formula?
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I'll write that in purple.
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That e to the i theta, or we
could write e to the ix, is
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equal to cosine of x
plus i sine of x.
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And what's amazing about that
is, if you put negative 1 in
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here, then you get e to the-- oh
no, actually if you put pi
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in here-- so e to the i pi is
equal to negative 1, right?
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If you substituted this because
sine of pi is 0.
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So I thought that was amazing,
where you could write e to the
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i 2 pi is equal to 1.
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That's pretty amazing as well.
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And in one equation you have all
of the fundamental numbers
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of mathematics.
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That's amazing, but let's
get back down to
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earth and get practical.
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So let's see if we can use this
to simplify Euler's--
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This is actually a definition,
and the definition makes a lot
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of sense, because when you
do the power series
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approximation, or the
Maclaurin series
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approximation, of e to the x, it
really looks like cosine of
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x plus i times the power series
approximation of x.
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But anyway, we won't
go into that now.
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I have like six or seven
videos on it.
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But let's use this to simplify
this up here.
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So we can rewrite that as y is
equal to e to the lambda x
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times-- let's do the
first one-- c1.
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It's e to the mu xi,
so instead of an x
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we have a mu x.
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That will be equal to cosine of
whatever is in front of the
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i, so cosine of mu x plus
i sine of mu x.
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And then plus c2 times what?
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Times cosine of minus mu x plus
i sine of minus mu x.
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And let's see if we can
simplify this further.
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So one thing that you might--
So let's distribute the c's.
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So now we get-- I'll do it in
a different color-- actually
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I'm running out of time,
so I'll continue
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this in the next video.
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See you soon.
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