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In the last video, we saw that
if a vector field can be
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written as the gradient of a
scalar field-- or another way
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we could say it: this would be
equal to the partial of our big
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f with respect to x times i
plus the partial of big f, our
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scalar field with respect to y
times j; and I'm just writing
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it in multiple ways just so you
remember what the gradient is
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--but we saw that if our vector
field is the gradient of
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a scalar field then we
call it conservative.
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So that tells us that f is a
conservative vector field.
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And it also tells us, and this
was the big take away from the
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last video, that the line
integral of f between two
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points-- let me draw two points
here; so let me draw my
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coordinates just so we know
we're on the xy plane.
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My axes: x-axis, y-axis.
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Let's say I have the point, I
have that point and that point,
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and I have two different paths
between those two points.
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So I have path 1, that goes
something like that, so
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I'll call that c1 and it
goes in that direction.
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And then I have, maybe in
a different shades of
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green, c2 goes like that.
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They both start here
and go to there.
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We learned in the last video
that the line integral
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is path independent
between any two points.
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So in this case the line
integral along c1 of f dot dr
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is going to be equal to the
line integral of c2, over the
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path c2, of f dot dr. The line,
if we have a potential in
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a region, and we may be
everywhere, then the line
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integral between any two points
is independent of the path.
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That's the neat thing about
a conservative field.
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Now what I want to do in this
video is do a little bit of
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an extension of the take
away of the last video.
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It's actually a pretty
important extension; it might
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already be obvious to you.
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I've already written this
here; I could rearrange
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this equation a little bit.
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So let me do it.
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So let me a rearrange this.
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I'll just rewrite
this in orange.
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So the line integral on path c1
dot dr minus-- I'll just go
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subtract this from both sides
--minus the line integral c2 of
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f dot dr is going
to be equal to 0.
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All I did is I took this take
away from the last video and
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I subtracted this
from both sides.
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Now we learned several videos
ago that if we're dealing with
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a line integral of a vector
field-- not a scalar field
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--with a vector field,
the direction of the
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path is important.
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We learned that the line
integral over, say, c2 of f dot
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dr, is equal to the negative of
the line integral of minus c2
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of f dot dr where we denoted
minus c2 is the same path as
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c2, but just in the
opposite direction.
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So for example, minus c2 I
would write like this-- so let
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me do it in a different color
--so let's say this is minus
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c2, it'd be a path just like
c2-- I'm going to call this
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minus c2 --but instead of going
in that direction, I'm now
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going to go in that direction.
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So ignore the old c2 arrows.
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We're now starting from
there and coming back here.
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So this is minus c2.
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Or we could write, we could
put, the minus on the other
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side and we could say that
the negative of the c2 line
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integral along the path of c2
of f dot dr is equal to the
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line integral over the reverse
path of f dot dr. All I did is
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I switched the negative on
the other side; multiplied
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both sides by negative 1.
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So let's replace-- in this
equation we have the minus of
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the c2 path; we have that right
there, and we have that right
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there --so we could just
replace this with
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this right there.
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So let me do that.
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So I'll write this
first part first.
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So the integral along the curve
c1 of f dot dr, instead of
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minus the line integral along
c2, I'm going to say plus the
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integral along minus c2.
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This-- let me switch to the
green --this we've established
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is the same thing as this.
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The negative of this curve, or
the line integral along this
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path, is the same thing as the
line integral, the positive of
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the line integral along
the reverse path.
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So we'll say plus the line
integral of minus c2 of
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f dot dr is equal to 0.
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Now there's something
interesting.
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Let's look at what the
combination of the path
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of c1 and minus c2 is.
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c1 starts over here.
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Let me get a nice,
vibrant color.
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c1 starts over here
at this point.
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It moves from this point
along this curve c1 and
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ends up at this point.
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And then we do the minus c2.
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Minus c2 starts at this point
and just goes and comes back
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to the original point;
it completes a loop.
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So this is a closed
line integral.
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So if you combine this,
we could rewrite this.
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Remember, this is just a loop.
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By reversing this, instead of
having two guys starting here
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and going there, I now can
start here, go all the way
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there, and then come all
the way back on this
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reverse path of c2.
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So this is equivalent to
a closed line integral.
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So that is the same thing as an
integral along a closed path.
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I mean, we could call the
closed path, maybe, c1 plus
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minus c2, if we wanted to be
particular about
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the closed path.
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But this could be, I drew c1
and c2 or minus c2 arbitrarily;
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this could be any closed path
where our vector field f has a
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potential, or where it is the
gradient of a scalar field,
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or where it is conservative.
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And so this can be written as
a closed path of c1 plus the
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reverse of c2 of f dot dr.
That's just a rewriting
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of that, and so that's
going to be equal to 0.
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And this is our take
away for this video.
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This is, you can view
it as a corollary.
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It's kind of a low-hanging
conclusion that you can make
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after this conclusion.
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So now we know that if we have
a vector field that's the
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gradient of a scalar field in
some region, or maybe over the
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entire xy plane-- and this is
called the potential of f;
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this is a potential function.
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Oftentimes it will be the
negative of it, but it's easy
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to mess with negatives --but if
we have a vector field that is
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the gradient of a scalar field,
we call that vector
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field conservative.
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That tells us that at any point
in the region where this is
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valid, the line integral from
one point to another is
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independent of the path; that's
what we got from
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the last video.
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And because of that, a closed
loop line integral, or a closed
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line integral, so if we take
some other place, if we take
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any other closed line integral
or we take the line integral of
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the vector field on any closed
loop, it will become 0 because
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it is path independent.
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So that's the neat take away
here, that if you know that
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this is conservative, if you
ever see something like this:
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if you see this f dot dr and
someone asks you to evaluate
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this given that f is
conservative, or given that f
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is the gradient of another
function, or given that f is
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path independent, you can now
immediately say, that is going
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to be equal to 0, which
simplifies the math a good bit.
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