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# Second derivatives (vector-valued functions)

Video transcript

- [Voiceover] So I have a
vector valued function h here, and when I say vector value, it means you give me a
t, it's a function of t, and so you give me a t, I'm not just going to give you a number, I'm going to give you a vector. And as we'll see, you're going to get a
two dimensional vector. You could view this as the
x component of the vector and the y component of the vector. And you are probably familiar by now, that there is multiple notations for even a two dimensional vector. For example, you could
use what's often viewed as engineering notation here, where the x component is being multiplied by the horizontal unit vector. So you might see something like that, where that's the unit
vector, plus the y component. Four t to the fourth,
plus two t, plus one, is multiplied by the vertical unit vector. So these are both
representing the same thing, it just has a different notation. And sometimes you'll see
vector valued functions with an arrow on top to make it explicit that this is a vector valued function. Sometimes you'll just hear people say, well, let h be a vector valued function, and they might not
write that arrow on top. So now that we have that out of the way, what we're interested in is, well let's find the first
and second derivatives of h with respect to t. So, let's first take, let's
take the first derivative, h prime of t, was as you'll see, it's actually quite straight forward. You're just going to take
the respective components, with respect, take the
derivative of the respective components with respect to t. So the x component, with respect to t, if you were to take the derivative, with respect to t, what
are you going to get? Well we're going to use the
power rule right over here, five times the negative
one or times the negative. You're going to get negative
five times t to the five, minus one power, so t to the fourth power. The derivative with respect
to t of negative six, well that's just zero, so that's the rate of
change of the x component, with respect to t. And now we go to the y component. So we're going to do the same thing, the derivative with respect to t, is going to be, and once again, we just use the power rule, four times four is 16t to the third power. Derivative of two t is just two, and then derivative of a constant, well that's zero, we've already seen that. So there you have it. So this is the rate of
change of the x component with respect to t, this is the rate of
change of the y component, with respect to t. And one way to do it, vectors can represent many,
many, many different things, but the type of, a two
dimensional vector like this, you can imagine this being, h of t being a position
vector in two dimensions. And then if you're looking
at the rate of change of position with respect to time, well then this would
be the velocity vector. And then if we were to take the derivative of this with respect to time, well we're going to get
the acceleration vector. So if we say h prime, prime of t, what is that going to be
equal to, h prime, prime of t? Well, we just apply the power rule again. So four times negative five
is equal to negative 20t to the four minus one,
so t to third power. And then we have three
times 16 is 48t squared, and then the derivative
of two is just zero. And so there you have it, for any, if you view t as time, for any time, if you view
this one as position, this one as velocity and
this is acceleration, you could, this would now give you the position, velocity and acceleration. It's important to realize
that these vectors could represent anything of
a two dimensional nature.