# Flux in two dimensions

How line integrals can measure flow rate through a curve. Learning this is a good foundation for Green's divergence theorem.

## What we're building to

- Given a region enclosed by a curve , and a fluid flow determined by a vector field , the rate at which fluid is exiting that region (assuming it has density ) can be measured with the following line integral:Here, $\greenE{\hat{\textbf{n}}(x, y)}$ is some function that returns the outward unit normal vector at every point on the curve .
- This integral $\displaystyle \int_\redE{C} \blueE{\textbf{F}} \cdot \greenE{\hat{\textbf{n}}} \, \redE{ds}$ is called a flux integral, or sometimes a "two-dimensional flux integral", since there is another similar notion in three dimensions.
- In any two-dimensional context where something can be considered flowing, such as a fluid,
**two-dimensional flux is a measure of the flow rate through a curve**. In general, the curve isn't necessarily a closed loop.

## Changing fluid mass in a region

Suppose you have some two-dimensional vector field,

And consider some closed curve wandering through this field.

As we like to do with vector fields, let's say this represents some kind of fluid flow. But let's limit ourselves to thinking about what happens over a very small amount of time, just a quick instance really. For example, you can imagine each fluid particle moving from the tail of one of the vectors drawn above to its tip.

Key question: How can we measure the instantaneous rate of change of the mass of fluid inside the region enclosed by ?

Specifically, let's say our fluid has a constant density throughout the plane, perhaps kilogram per square meter. If we let the fluid flow for a small amount of time, , what is the total mass of fluid which leaves/enters the region? The answer, of course, will be some function of the vector field and the curve .

If this question reminds you of the intuition for divergence, it's for a very good reason. In fact, in the next few articles, in another article, we will use the formula we are now deriving to give the formal definition of divergence, and to show a special relationship divergence has with line integrals in two dimensions.

## One bit of length at a time

One way to answer this question is to break up the curve into many tiny segments and consider how much fluid leaves or enters each segment. If we zoom in on a small enough segment, we can basically treat it as a straight line, and the fluid particles going through it are pretty much all moving at the same speed and in the same direction.

As we let the fluid flow for the small change in time , the fluid passing through this segment will form a parallelogram.

(I happened to draw a case where the fluid is going out of the region, but you could just as easily imagine the fluid coming into the region if the velocity vectors at that point were turned the other way.)

Since we are assuming a uniform density of for the fluid, the mass of fluid leaving the region equals the area of this parallelogram. Let's break down that area.

- The base of the parallelogram is the length of our tiny segment. Let's call that .
- The displacement vector of a fluid particle which starts at some point on the tiny segment will be , where is the velocity vector of fluid at that point, and is the amount of time the fluid flowed.
- The height of the parallelogram will be the component of the displacement vector which is perpendicular to the segment. You can extract this by taking the dot product between and a unit normal vector to the curve . Let's name that unit normal vector $\greenE{\hat{\textbf{n}}}$.

**Concept check**: What is the total mass exiting the tiny segment of length over the short time ?

Dividing out by , we have the amount of mass passing through this tiny line segment per unit time:

Exiting mass per unit time $= (\vec{\textbf{v}} \cdot \hat{\textbf{n}})(\Delta s)$

## Bringing it together with an integral

Now think about

*all*of the tiny segments which make up the curve , each with a tiny amount of mass exiting or entering through it per unit time. If you want to add up all those tiny changes in mass along the curve, what better tool is there than a line integral?Specifical, the line integral will look like this:

where

- The vector field gives the fluid velocity at each point along the curve.
- The term $\greenE{\hat{\textbf{n}}}$ should be considered a function, $\greenE{\hat{\textbf{n}}(x, y)}$, which takes in a point on and outputs the unit normal vector to at that point.
- Using the symbol $\displaystyle \oint$ instead of is just to emphasize that the line integral is around a closed loop.
- indicates a tiny change in arc length along the curve. Conceptually it is no different from the term in the previous section, but now we are considering it as an infinitesimal quantity used for integration.
- As you walk along the curve , the value $\blueE{\textbf{F}} \cdot \greenE{\hat{\textbf{n}}}$ measures how much the fluid is leaving/entering the region enclosed by at each point. It is positive when the fluid is leaving, and negative when the fluid flows in, so the integral as a whole will return
**the total mass leaving the region enclosed by per unit time**.

More elaborately, you might write:

**Definition**: This flow rate through a curve is called

**flux**. More specifically, I should say the component of the flow rate which is

*perpendicular to the curve*is called flux.

Many things other than fluids in physics are considered to "flow", such as heat, and (loosely speaking) the electromagnetic field, and the word flux is used very broadly in reference to any one of these circumstances. It's most common for the word "flux" to refer to flow rate through a surface in three-dimensions. I will talk about this in the context of surface integrals later on. As such, you might call this flow rate through a curve "two-dimensional flux".

This integral $\displaystyle \oint_\redE{C} \blueE{\textbf{F}} \cdot \greenE{\hat{\textbf{n}}} \, \redE{ds}$
is sometimes called a "flux integral", and as with all new operations, the best way to get a feel for it is to work through an example.

## Example: Flux through a circle

Consider the vector field

And draw a circle of radius centered at the origin.

From this picture, you might be able to guess that the fluid flowing along this vector field tends to go out of the circle. But how much? To apply the integral from the last section, we first need to do two things:

- Parameterize the circle.
- Find a function for $\hat{\textbf{n}}$ on the circle.

We parameterize the circle using our friendly neighborhood cosine-sine parameterization:

For the parameterization to traverse the circle once and only once, let range from to .

Which of the following functions gives the unit normal vector?

We can now apply this data to the line integral we found in the last section. (If you are uncomfortable with the computation of the line integral, consider reviewing the article on line integrals in a scalar field).

Once you have an integral in this form, you can just plug it into a calculator (or something like Wolfram Alpha) to get the numerical result:

## Computing a unit normal vector

You might be wondering how to compute the unit normal vector $\greenE{\hat{\textbf{n}}}(x, y)$ for an arbitrary curve that is given to you. It felt like kind of a special case for the circle, didn't it? Well, luckily for you, constructing such a unit normal vector just so happens to be the topic of the next article.

I actually kind of lied to you when I said the unit normal vector is given with a function $\greenE{\hat{\textbf{n}}}(x, y)$ with inputs on the -plane. In practice, it is typically given as a parametric function $\greenE{\hat{\textbf{n}}}(t)$ that "lines up" with the parameterization of the curve , so to speak. In principle, you should still think of it as acting on points in the -plane, it's just that in practice you only end up defining it for points on the curve itself, since that's all you need. Don't worry, you'll see what I mean in the next article.

## À retenir

- In any context where something can be considered flowing, such as a fluid,
**two-dimensional flux is a measure of the flow rate through a curve**. The flux over the boundary of a region can be used to measure whether whatever is flowing tends to go into or out of that region.

- The flux through a curve can be measured with the line integralwhere
- defines the vector field which indicates the flow rate.

- $\greenE{\hat{\textbf{n}}}$ is some function which return the outward unit normal vector at every point on the curve .