Skip to main content

Double Integral over Regions

We are back again, once again, showing off a method of Integration from Calculus courses. Stepping beyond Calculus two, we will be going into one of the main ideas from a multiple variable calculus course, double integration. When doing a double integral, with two variables, we integrate over a region of $R^2$. The approximation is similar to what we would do for one variable, taking a double sum of heights times the area. In general, where we have a constant base area of $\Delta A$, we have the formula for approximation:

$V \approx \sum_{i=1}^{n} \sum_{j=1}^{m} \ f(x_i^*, y_j^*) \ \Delta A $

Following from the process from calculus one, by taking the limit of the double sum as i and j approach infinity, we get the exact volume.

The domain I decided to use for this is the curve sketched out by: $f(x,y) = x^2 + y^2$. This curve is a paraboloid, but that by itself is not very interesting. Instead of dealing with just this curve, we will be cutting out a region of a triangle, with the lines:

$y_1 = 5x$ and $y_2 = .2x$

Below is a graph of the region in Geogebra! The volume should end up looking like a chip you would use to eat salsa. Along with this, I wanted to continue my ideas of using curved shapes and triangles from all the other projects thus far.



Now, how do these integrals look? First, we need to talk about the approximations we want to use. Well, for our approximation, we will use rectangular prisms with square bases that are 1 by 1. The heights of each prism will be the value of the function $f(x,y) = x^2 + y^2$ at that given point. Along with this, our rectangles will be constructed using the top, right, end point of each square. Below is the dots we will be using, as well as the given domain of $x$ and $y$ we will use.



Now that we have our footing, we can discuss what the integrals would look like! The double integral is done by integrating over a specific Domain, giving us some volume. You make your bounds for $x$ and $y$ respectively by either: finding the values constrained for one variable, or find the equation of the line restricting one variable, written in terms of the other. For example, let's say you would looking at the region with lines: $y=x$ and $y=x^2$, from $0 \leq x \leq 2$. Your bounds for your $x$ values would be the given constraints on $x$ above, but your $y$ bounds would be from: $x^2$ to $x$, since we our restricting the $y$-values to be outputs of the function in terms of $x$.

This idea gives us the formulas for integration of two variables, where $D$ is the region which will give us the bounds for $x$ and $y$:

\[ \iint\limits_{D} f(x,y)\mathrm{\Delta}A \]

$\underline{Our \ Problem}$:
We want to approximate the volume of $f(x,y) = x^2 + y^2$, with the region being $y = 5x$ and $y=.2x$, along with $0 \leq x \leq 3$. Let us use the approximation first, and then see how it differs from the actual integration. Below is what the shape actually looks like on PrusaSlicer, along with the calculations used. By using the base area of the rectangle being 1, we find the approximate volume will be: $V_{approx} = 960$ units cubed. Now, what about the integration?

$\underline{Calculations \ for \ Approximation:}$


$\underline{Image \ of \ Shape:}$


Using the process discussed before, we want to solve the double integral that looks like:

$ V = \int_{0}^{3} \int_{.2x}^{5x}\ x^2 + y^2 dydx$

$\Rightarrow \int_{0}^{3} x^2*y + \frac{y^3}{3} dx \ |_{y=.2x}^{y=5x}$

$\Rightarrow \int_{0}^{3} 5x^3 + 125\frac{125x^3}{3} - .2x^3 - (.008)\frac{x^3}{3} dx$

From where, it is just integration methods learned in calculus one, which evaluates to:

$V = 940.896$ units cubed

The difference between our approximation and the actual volume is less than 20 units cubed, which makes sense due to us dropping some side cubes from not fitting exactly in our region using the top right point of the individual cube.

Overall, our approximation was very close to the actual volume of the object. I really enjoyed this due to my continued love of using triangles and rounded shapes from throughout the semester. As you can see in the picture of the 3D model, it did not appear as close to the chip I had envisioned, but is closer to some sort of a hook!

Comments

Popular posts from this blog

Do Over: Integration Over a Region in a Plane

Throughout the semester we have covered a variety of topics and how their mathematical orientation applies to real world scenarios. One topic we discussed, and I would like to revisit, is integration over a region in a plane which involves calculating a double integral. Integrating functions of two variables allows us to calculate the volume under the function in a 3D space. You can see a more in depth description and my previous example in my blog post, https://ukyma391.blogspot.com/2021/09/integration-for-over-regions-in-plane_27.html . I want to revisit this topic because in my previous attempt my volume calculations were incorrect, and my print lacked structural stability. I believed this print and calculation was the topic I could most improve on and wanted to give it another chance. What needed Improvement? The function used previously was f(x) = cos(xy) bounded on [-3,3] x [-1,3]. After solving for the estimated and actual volume, it was difficult to represent in a print...

Minimal Surfaces

Minimum surfaces can be described in many equivalent ways. Today, we are going to focus on minimum surfaces by defining it using curvature. A surface is a minimum surface if and only if the mean curvature at every point is zero. This means that every point on the surface is a saddle point with equal and opposite curvature allowing the smallest surface area possible to form. Curvature helps define a minimal surface by looking at the normal vector. For a surface in R 3 , there is a tangent plane at each point. At each point in the surface, there is a normal vector perpendicular to the tangent plane. Then, we can intersect any plane that contains the normal vector with the surface to get a curve. Therefore, the mean curvature of a surface is defined by the following equation. Where theta is an angle from a starting plane that contains the normal vector. For this week’s project, we will be demonstrating minimum surfaces with a frame and soap bubbles! How It Works Minimum surfac...

Ruled Surfaces : Trefoil

Ruled Surfaces : Trefoil A ruled surface is a surface that consists straight lines, called rulings, which lie upon the surface. These surfaces are formed of a set of points that are "swept" by a straight line. This is relatively intuitive once you see a good visual, but can be a bit abstract without that concrete example. A very basic example of a ruled surface is a cylinder; if we have a straight line and move it in a circle we create a cylinder made entirely of straight line. Note that the surface will only be a cylinder if all the lines are parallel. If the lines are not parallel we can create hyperboloids and cones depending on how much we have rotated. The rotation we are describing here is not a simple turning action, but more of a twisting motion—less like rotating a can by turning it and more like wringing out a washcloth by twisting it. Specifically, a cylinder is essentially two circles connected by rulings, if we keep one of the circles...