馃攳
Derivative as a concept | Derivatives introduction | AP Calculus AB | Khan Academy - YouTube
Channel: Khan Academy
[0]
you are likely already familiar with the
[2]
idea of a slope of a line if you're not
[4]
i encourage you to review it on khan
[6]
academy but all it is it's describing
[9]
the rate of change of a vertical
[11]
variable with respect to a horizontal
[13]
variable so for example here i have our
[15]
classic y-axis in the vertical direction
[18]
and x-axis in the horizontal direction
[20]
and if i wanted to figure out the slope
[22]
of this line i could pick two points say
[24]
that point and that point
[27]
i could say okay from this point to this
[28]
point what is my change in x well my
[31]
change in x would be this distance right
[33]
over here
[34]
change in x
[36]
the greek letter delta this triangle
[38]
here it's just shorthand for change so
[41]
change in x
[42]
and i could also calculate the change in
[45]
y
[46]
so
[47]
this point going up to that point our
[49]
change in y
[50]
would be
[51]
this right over here our change in y
[55]
and then we would define slope or we
[58]
have defined slope as change in y over
[61]
change in x
[62]
so slope
[64]
is equal to the rate of change of our
[66]
vertical variable over the rate of
[69]
change of our horizontal variable it's
[70]
sometimes described as rise over run
[74]
and for any line it's associated with a
[78]
slope because it has a constant rate of
[81]
change if you took any two points on
[83]
this line no matter how far apart or no
[86]
matter how close together anywhere they
[87]
sit on the line if you were to do this
[90]
calculation you would get the same slope
[93]
that's what makes it a line but what's
[96]
fascinating about calculus is we're
[98]
going to build the tools so that we can
[100]
think about the rate of change not just
[103]
of a line which we've called slope in
[104]
the past we can think about the rate of
[106]
change the instantaneous rate of change
[110]
of a curve of something whose rate of
[113]
change is possibly constantly changing
[116]
so for example
[118]
here's a curve where the rate of change
[121]
of y with respect to x is constantly
[124]
changing even if we wanted to use our
[126]
traditional tools if we said okay we can
[129]
calculate the average rate of change
[130]
let's say between this point and this
[133]
point well what would it be well the
[136]
average rate of change between this
[137]
point and this point would be the slope
[139]
of the line that connects them
[141]
so it'd be the slope of this line of the
[143]
secant line but if we pick two different
[145]
points we pick this point and this point
[148]
the average rate of change between those
[149]
points all of a sudden looks quite
[151]
different it looks like it has a higher
[154]
slope so even when we take the slopes
[157]
between two points on the line the
[159]
secant lines you can see that those
[162]
slopes are changing
[163]
but what if we wanted to ask ourselves
[165]
an even more interesting question
[167]
what is the
[168]
instantaneous rate of change at a point
[171]
so for example
[173]
how fast is y changing with respect to x
[176]
exactly at that point exactly when x is
[180]
equal to that value let's call it x1
[183]
well one way you could think about it is
[185]
what if we could draw a tangent line to
[188]
this point a line that just touches the
[190]
graph right over there and we can
[192]
calculate the slope of that line well
[195]
that should be the rate of change at
[198]
that point the instantaneous rate of
[200]
change so in this case the tangent line
[204]
might look something
[205]
like that if we know the slope of this
[210]
well then we could say that that's the
[211]
instantaneous rate of change at that
[213]
point why do i say instantaneous rate of
[216]
change well think about the video on the
[219]
sprinters the usain bolt example if we
[222]
wanted to figure out the speed of usain
[224]
bolt at a given instant well maybe this
[227]
describes his position with respect to
[229]
time if y was position and x is time
[232]
usually you would see t is time but
[233]
let's say x is time so then if we're
[235]
talking about right at this time we're
[238]
talking about the
[239]
instantaneous rate
[241]
and this idea is the central idea of
[244]
differential calculus and it's known as
[247]
a derivative
[248]
the slope of the tangent line
[251]
which you could also view as the
[253]
instantaneous
[254]
rate of change i'm putting exclamation
[256]
mark because it's so conceptually
[258]
important here
[260]
so how can we denote a derivative
[263]
one way is known as leibniz's notation
[265]
and leibniz is one of the fathers of
[267]
calculus along with isaac newton and his
[271]
notation you would denote the slope of
[273]
the tangent line as
[275]
equaling d y
[277]
over dx
[279]
now why do i like this notation because
[282]
it really comes from this idea of a
[284]
slope which is change in y over change
[286]
in x
[287]
as you'll see in future with videos one
[290]
way to think about the slope of the
[291]
tangent line is well let's calculate the
[294]
slope of secant lines let's say between
[296]
that point and that point but then let's
[297]
get even closer say that point in that
[299]
point and then let's get even closer in
[300]
that point in that point and then let's
[301]
get even closer and let's see what
[304]
happens as the change in x approaches
[307]
zero
[309]
and so using these d's instead of deltas
[311]
this was leibniz's way of saying hey
[314]
what happens if my changes in say x
[317]
become close to zero so this idea this
[320]
is known as sometimes differential
[322]
notation leibniz's notation is instead
[325]
of just changing y over change in x
[327]
super small changes in y for a
[330]
super small change in x especially as
[333]
the change in x approaches zero and as
[336]
you will see that is how we will
[337]
calculate the derivative
[339]
now there's other notations
[342]
if this curve is described as y is equal
[345]
to
[346]
f of x
[347]
the slope of the tangent line at that
[349]
point could be denoted as equaling
[352]
f
[353]
prime
[354]
of x1
[356]
so this notation it takes a little bit
[358]
of time getting used to the lagrange
[360]
notation
[361]
it's saying f prime is representing the
[363]
derivative it's telling us the slope of
[366]
the tangent line for a given point
[369]
so if you input an x into this function
[372]
into f you're getting the corresponding
[375]
y value if you input an x into f prime
[379]
you're getting the slope of the tangent
[381]
line at that point
[384]
now another notation that you'll see
[387]
less likely in a calculus class but you
[389]
might see in a physics class is the
[391]
notation
[392]
y with a dot over it so you could write
[395]
this as y
[397]
with a dot over it which also denotes
[399]
the derivative you might also see y
[402]
prime this would be more common in a
[404]
math class
[405]
now as we march forward in our calculus
[408]
adventure we will build the tools to
[410]
actually calculate these things and if
[412]
you're already familiar with limits they
[414]
will be very useful as you can imagine
[416]
because we're really going to be taking
[417]
the limit of our change in y over change
[419]
in x as our change in x approaches zero
[424]
and we're not just going to be able to
[425]
figure it out for a point we're going to
[427]
be able to figure out general equations
[429]
that describe the derivative for any
[431]
given point so be very very excited
Most Recent Videos:
You can go back to the homepage right here: Homepage





