Problem involving simple fractals (Koch snowflake problem)

  • Thread starter Stochastic13
  • Start date
  • Tags
    Fractals
In summary, the construction process described involves adding smaller equilateral triangles to each side of an original equilateral triangle. Using the geometric series test, it is possible for the bounded region created by this process to have a finite area and infinite perimeter. This is determined by the ratio of the number of segments to their length, which must be greater than one for the series to diverge. By finding an exact area for the snowflake, it is proven that the area is finite despite the infinite perimeter.
  • #1
Stochastic13
60
0

Homework Statement



Construction begins with an equilateral triangle with sides of length one unit. In the first iteration triangles with length one third are added to each side. Next, triangles of length 1/9 are added to all sides, etc., etc.

Is it possible for a bounded region to have a finite area and infinite perimeter? Explain.

Homework Equations





The Attempt at a Solution



Yes, If each time that iterations are increased the ratio of segment number to length is more than one, then by the geometric series test the series diverges and thus has infinite parameter. Also, if ratio of area is less than 1 as number of iterations goes to infinity, then the area converges by the geometric series test. Does that sound like I answered the question? What can you recommend for a better answer? Thanks.
 
Physics news on Phys.org
  • #2
Uggggh, I just posted a response but the forum system logged me out before it sent.

I think your professor wants you to use the geometric series to solve this.

Note that the original triangle has area 1/2 and each iteration adds 3*4^(n-1) triangles.
Then, you can write this as the summation of terms (not including the 1/2) in the following format(I don't know how to use latex, so this will look ugly):

summation (from n = 0 --> infinite): a(r)^n

If r is < 1, which it will be,
this series converges to a/(1-r).

Considering it converges, you can find an exact area for the snowflake, which is finite even though there is an infinite perimeter.

You must also figure out that the perimeter is not finite by making a series that has r >= 1.
 
  • #3
OK, thanks very much.
 

1. What is the Koch snowflake problem and why is it significant?

The Koch snowflake problem is a mathematical fractal construction that involves iteratively adding smaller and smaller equilateral triangles to each side of a triangle. This creates a shape with a finite area, but an infinitely long perimeter. It is significant because it demonstrates how even simple mathematical operations can produce complex and beautiful patterns.

2. How is the Koch snowflake problem related to self-similarity?

The Koch snowflake problem is an example of a self-similar fractal, meaning that the overall shape is made up of smaller versions of itself. Each iteration of the fractal is a scaled down version of the previous one, maintaining the same overall pattern. This property of self-similarity is a defining characteristic of fractals.

3. What is the formula for calculating the perimeter of a Koch snowflake?

The formula for calculating the perimeter of a Koch snowflake can be expressed as P = (4/3) * L * n, where P is the perimeter, L is the length of the original triangle's sides, and n is the number of iterations. This formula is derived from the fact that each iteration of the fractal increases the perimeter by a factor of 4/3.

4. Can the Koch snowflake problem be applied to other shapes?

Yes, the concept of iteratively adding smaller versions of a shape to create a fractal can be applied to other shapes besides triangles. For example, the same method can be used to create a Koch curve, which involves adding smaller and smaller segments to a straight line. Other shapes that can be turned into fractals include squares, circles, and even more complex geometric shapes.

5. How is the Koch snowflake problem relevant to real-world applications?

The Koch snowflake problem has applications in various fields such as computer graphics, where it can be used to create intricate and realistic patterns. It also has applications in physics, as fractals are found in many natural phenomena such as coastlines, clouds, and even the structure of the universe. Additionally, understanding fractals and self-similarity can lead to advancements in the fields of chaos theory and dynamical systems.

Similar threads

Replies
10
Views
1K
  • Calculus and Beyond Homework Help
Replies
9
Views
5K
  • Calculus and Beyond Homework Help
Replies
1
Views
3K
  • General Math
Replies
7
Views
4K
Replies
1
Views
1K
  • General Math
Replies
2
Views
919
  • Calculus and Beyond Homework Help
Replies
9
Views
3K
  • Calculus and Beyond Homework Help
Replies
11
Views
2K
  • Math POTW for University Students
Replies
1
Views
2K
  • General Math
Replies
1
Views
994
Back
Top