- [Voiceover] Hello and welcome

to multivariable calculus.

So I think I should probably start off

by addressing the elephant in the living room here.

I am, sadly, not Sal,

but I'm still gonna teach you some math.

My name is Grant.

I'm pretty much a math enthusiast.

I enjoy making animations of things when applicable,

and boy, is that applicable

when it comes to multivariable calculus.

So, the first thing we gotta get straight

is what is this word multivariable

that separates calculus, as we know it,

from the new topic that you're about to study?

Well, I could say it's all about multivariable functions,

that doesn't really answer anything

because what's a multivariable function?

And basically, the kinds of functions

that we're used to dealing with,

in the old world, in the ordinary calculus world,

will have a single input, some kind of number

as their input,

and then the output is just a single number.

And you would call this a single variable function.

Basically because that guy there is the single variable.

So then a multivariable function

is something that handles multiple variables.

So, you know, it's common to write it as x, y,

it doesn't really matter what letters to use,

and it could be, you know, x, y, z,

x one, x two, x three, a whole bunch of things,

but just to get started,

we often think just two variables

and this will output something that depends on

both of those.

Commonly it will output just a number,

so you might imagine a number that depends on

x and y in some way, like, x squared plus y,

but it could also output a vector, right?

So you could also imagine something that's

got multivariable input, f of x, y,

and it outputs something that also has

multiple variables, like,

I mean I'm just making stuff up here,

three x and, you know, two y.

And, this isn't set in stone,

but the convention is to usually think

if there's multiple numbers that go into the output,

think of it as a vector,

if there's multiple numbers that go into the input,

just kind of write them,

write them more sideways like this,

and think of them as a point in space.

Because, I mean when you look at something like this,

and you've got an x and you've got a y,

you could think about those as two separate numbers.

You know, here's your number line

with the point x on it somewhere,

maybe that's five, maybe that's three,

it doesn't really matter.

And then you've got another number line

and it's y, and you could think of them

as separate entities.

But, it would probably be more accurate

to call it multidimensional calculus,

because, really, instead of thinking of, you know,

x and y as separate entities,

whenever you see two things like that

you're gonna be thinking about the x y plane.

And thinking about just a single point.

And you'd think of this as a function that takes a point

to a number,

or a point to a vector.

And a lot of people, when they start

teaching multivariable calculus,

they just jump into the calculus,

and there's lots of fun things,

partial derivatives, gradients,

good stuff that you'll learn.

But I think first of all,

I want to spend a couple videos

just talking about the different ways

we visualize the different types

of multivariable functions.

So, as a sneak peak,

I'm just gonna go through a couple of them

really quickly right now,

just so you kind of whet your appetite

and see what I'm getting at,

but the next few videos are going to go through them

in much, much more detail.

So, first of all, graphs.

When you have multivariable functions,

graphs become three dimensional.

But these only really apply to functions that have

some kind of two-dimensional input,

which you might think about as living

on this x y plane,

and a single number as their output

and the height of the graph

is gonna correspond with that output.

Like I said, you'll be able to learn much more

about that in the dedicated video on it,

but these functions also can be visualized

just in two dimensions, flattening things out.

Where we visualize the entire input space

in associated color, with each point.

So this is the kind of thing where you, you know,

you have some function

that's got a two-dimensional input,

that would be f of x, y,

and what we're looking at is the x y plane,

all of the input space,

and this output's just some number,

you know, maybe it's like x squared,

this particular one is an x squared,

but, you know that,

and maybe some complicated thing,

and the color tells you roughly the size

of that output, and the lines here,

called contour lines,

tell you which inputs all share a constant output value.

And again, I'll go into much more detail there.

These are really nice, much more convenient

than three-dimensional graphs,

to just sketch out.

Moving right along,

I'm also gonna talk about surfaces

in three-dimensional space.

They look like graphs,

but they actually deal with a much different animal,

that you could think of it as mapping two dimensions,

and I like to sort of spoosh it about.

And we've got kind of a two-dimensional input,

that somehow moves into three dimensions,

and you're just looking at what the output

of that looks like,

not really caring about how it gets there.

These are called parametric surfaces.

Another fun one is a vector field,

where every input point is associated

with some kind of vector,

which is the output of the function there.

So this would be a function

with a two-dimensional input

and a two-dimensional output

'cause each of these are two-dimensional vectors.

And the fun part with these guys

is that you can just kind of,

imagine a fluid flowing,

so here's a bunch of droplets, like water,

and they kind of flow along that.

And that actually turns out to give insight

about the underlying function.

It's one of those beautiful aspects

of multivariable calc.

And we'll get lots of exposure to that.

Again, I'm just sort of zipping through

to whet your appetite.

Don't worry if this doesn't make sense immediately.

And one of my all-time favorite ways to think about

multivariable functions is to just take the input space,

in this case, this is gonna be a function that inputs

points in two-dimensional space,

and watch them move to their output,

so, this is gonna be a function that also outputs

in two dimensions.

And I'm just gonna watch every single point

move over to where it's supposed to go.

These can be kind of complicated to look at,

or to think about at first,

but as you gain a little bit of thought

and exposure to them,

they're actually very nice,

and it provides a beautiful connection

with linear algebra.

A lot of you out there,

if you're studying multivariable calculus,

you either are about to study linear algebra,

or you just have, or maybe you're doing it concurrently,

but understanding functions as transformations

is gonna be a great way to connect those two.

So with that,

I'll stop jabbering through these topics really quickly

and in the next few videos

I'll actually go through them in detail

and hopefully you can get a good feel

for what multivariable functions can actually feel like.