Skip to main content

Minimal Surfaces

This week, we discussed the topic of a surface's area being minimized. These surfaces are called "Minimal Surfaces" and have the property that they generate the smallest area locally on the surface. There are a couple of ways to describe these surfaces, so I will use the general one that talks about curvature of the surface, as well as the definition referencing neighborhoods of points.

Our Definitions:
Our first useful definition to describe these surfaces is:

A surface M $\subset \mathcal{R}^3$ is minimal if and only if (iff) its mean curvature is equal to zero at every point.

Now, you may be thinking to yourself, what does it mean for mean curvature? Well, the idea is similar to the topic of average value of a function from a calculus course. In particular, we take a surface which has been parameterized by a vector, $\overrightarrow{r(t)}$. Next, we want to know the unit tangent of the curve, call this $\overrightarrow{\mathcal{T}(t)}$. Finally, we describe the curvature as the relation $\frac{\overrightarrow{\mathcal{T}'(t)}}{\overrightarrow{r'(t)}}$, calling this $\mathcal{K}$. We want to describe this curvature in terms of $\theta$'s which is the angle with the normal vector and our plane. As discussed, we relate this to the average value of a function from your calculus class by finishing this definition by saying one checks the curvature by the following integral:

$\frac{1}{2\pi}\int_{0}^{2\pi} \mathcal{K}(\theta) d\theta$

Now, as I started by saying, there is another definition which is equivalent to the one just discussed. I see this one is a nice one for someone coming out of a calculus course, because if you have taking through multi-variable, this definition should feel more at home for you. Either way, I wanted to at least bring up this definition, since it goes more with our theme of straying away from calculus topics.

Definition Two:

A surface $C \subset \mathcal{R}^3$ is minimal iff every point $a \in C$ has a neighborhood, bounded by a simple closed curve, which has the least area among all surfaces sharing this boundary.
This neighborhood is where you have a set which contains a point. Around this point, you have a subset of your larger set, in which that smaller set is contained within. Basically, you try and take the smallest open set around some point. Lastly, this simple closed curve is a curve that starts and ends at the same point without crossing itself.

For my surface, I wanted to connect back to one of my favorite shapes, a pentagon. On the base, I created some pentagon. Above this pentagon, I created a 10-sided shape, a decagon. I wanted my surface to test how far you can change the base shapes for the bubble to form. By doubling the sides, I wanted to observe if this made any problem with the shape being created.



The surface should just be like my ruled surface shape, by the bases being a pentagon and a decagon. My object is less than three inches in length and width, with the height being a little over five and a half inches. I wanted to make sure that my shape will fit within the mason jar, so that is why the object has been constrained to these sizes.

Comments

Popular posts from this blog

Knot 9-31

Knot 9-31 A knot is mathematics is defined as a closed, non-self-intersecting curve that is placed in three dimensions and cannot be the "unknot". The main difference between a knot in the real world and a known in mathematics is that a knot in mathematics does not contain any extra strands. The example following will help visualize this. Today, I have specifically chosen knot 9-31 from the Knot Atlas. This knot is very unique and contains some very interesting properties that we are going to look into. The Crossing Number For my knot today, I chose knot 9-31 from the Knot Atlas. This knot contains 9 crossings! The Unknotting Number The unknotting number is exactly what is sounds like. This is the minimum number of times the knot must be passed through itself to untie it. Luckily, the Knot Atlas is super useful and provides the unknotting number for us, but I still...

Do Over: Integration for Over Regions in the Plane

Introduction Earlier in the semester, we visited the topic of integration for over region regions in the plane. This was our first experience with taking integration in the third dimension. To do this, we had to use double integrals to calculate the volume of a region between two surfaces. This topic seems relatively straightforward and anyone who has taken a higher calculus class knows of double integrals. Today, we are going to revisit this topic for a couple of reasons. Why Double Integrals Again? As mentioned before, I am revisiting this topic for a couple of reasons. One of the main reasons is due to how the 3D print turned out. Due to the function, I chose, the final rectangular prism was stand alone. When printing, this resulted in a sloppy prism that lacked structural integrity. The image below is a reference to my original design that includes the prism that had the issue. The main cause of ...

Middle of Mass Measured from Moment

The center of mass of an object is the point that lies in the average position of mass in that object. For a normal polygon, that point is in the middle of the shape. However, if the shape is irregular, has concave angles, or has holes, the center of mass can be far from the middle of the object. Two things come into factor when determining the center of mass of an object. Weight and distance. Obviously, if one side of an object has more mass than the other, the center of mass will be on the heavier side. But, distance plays a role, too. If two sides of an object have the same mass, but one is farther from the middle, the center of mass will be on the side that has farther mass. Multiplying both of these factors together gives the moment of an object. Dividing the moment by the overall mass gives the location of the center of mass.   The reason I chose my shape is to mimic how those toy balancing birds work. The toy is a model bird with its wings outstretched. The ...