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We've done several
videos already
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where we're approximating
the area under a curve
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by breaking up that
area into rectangles
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and then finding the sum of
the areas of those rectangles
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as an approximation.
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And this was actually
the first example
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that we looked at where
each of the rectangles
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had an equal width.
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So we equally
partitioned the interval
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between our two boundaries
between a and b.
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And the height of the
rectangle was the function
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evaluated at the left
endpoint of each rectangle.
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And we wanted to generalize it
and write it in sigma notation.
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It looked something like this.
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And this was one case.
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Later on, we looked
at a situation
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where you define the
height by the function
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value at the right endpoint
or at the midpoint.
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And then we even
constructed trapezoids.
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And these are all particular
instances of Riemann sums.
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So this right over
here is a Riemann sum.
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And when people talk
about Riemann sums,
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they're talking about
the more general notion.
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You don't have to
just do it this way.
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You could use trapezoids.
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You don't even have to have
equally-spaced partitions.
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I used equally-spaced partitions
because it made things
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a little bit
conceptually simpler.
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And this right here is
a picture of the person
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that Riemann sums
was named after.
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This is Bernhard Riemann.
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And he made many
contributions to mathematics.
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But what he is most
known for, at least
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if you're taking a
first-year calculus course,
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is the Riemann sum.
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And how this is used to
define the Riemann integral.
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Both Newton and
Leibniz had come up
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with the idea of
the integral when
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they had formulated calculus,
but the Riemann integral
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is kind of the most
mainstream formal,
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or I would say
rigorous, definition
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of what an integral is.
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So as you could imagine, this is
one instance of a Riemann sum.
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We have n right over here.
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The larger n is, the better an
approximation it's going to be.
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So his definition of
an integral, which
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is the actual area
under the curve,
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or his definition of a
definite integral, which
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is the actual area under
a curve between a and b
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is to take this Riemann sum,
it doesn't have to be this one,
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take any Riemann sum, and
take the limit as n approaches
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infinity.
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So just to be clear,
what's happening
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when n approaches infinity?
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Let me draw another
diagram here.
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So let's say that's my y-axis.
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This is my x-axis.
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This is my function.
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As n approaches
infinity-- so this is a,
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this is b-- you're just going
to have a ton of rectangles.
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You're just going to get a
ton of rectangles over there.
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And there are going to
become better and better
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approximations for
the actual area.
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And the actual area
under the curve
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is denoted by the integral
from a to b of f of x times dx.
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And you see where
this is coming from
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or how these
notations are close.
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Or at least in my brain,
how they're connected.
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Delta x was the width for
each of these sections.
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This right here is delta x.
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So that is a delta x.
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This is another delta x.
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This is another delta x.
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A reasonable way to
conceptualize what dx is,
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or what a differential
is, is what delta x
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approaches, if it
becomes infinitely small.
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So you can conceptualize
this, and it's not
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a very rigorous way
of thinking about it,
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is an infinitely small-- but
not 0-- infinitely small delta
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x, is one way that you
can conceptualize this.
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So once again, as you
have your function
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times a little small
change in delta x.
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And you are summing,
although you're
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summing an infinite number
of these things, from a to b.
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So I'm going to
leave you there just
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so that you see the connection.
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You know the name
for these things.
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And once again, this
one over here, this
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isn't the only Riemann sum.
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In fact, this is often
called the left Riemann sum
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if you're using it
with rectangles.
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You can do a right Riemann sum.
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You could use the midpoint.
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You could use a trapezoid.
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But if you take the limit of
any of those Riemann sums,
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as n approaches
infinity, then that you
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get as a Riemann
definition of the integral.
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Now so far, we haven't
talked about how
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to actually evaluate this thing.
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This is just a
definition right now.
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And for that we will
do in future videos.