Order in Randomness
Chaotic systems show maximum sensitivity to their original state.
“This expression has been introduced to denote the property of a chaotic system that small differences in the
initial conditions, however small, are persistently magnified because of the dynamics of the system.”[2]
Philip Holmes
From Philip Holmes perspective chaotic systems are:
"The complicated aperiodic attracting orbits of certain, usually low-dimensional dynamical systems."
Another Definition
“A characteristic feature of chaotic dynamical systems is the property of pathological sensitivity to initial positions.
This means that starting the same process from two different—but frequently indistinguishable—initial states generally leads
to completely different long-term behaviour”[1]
You are seeing the Koch Snowflake at right side since beginning of the course.
It is also known as Koch curve. It is developed by Helge von Koch
Koch curve is one of the versions of fractals. There are several equilateral triangles into a Koch curve.
Simply, we are seeing same pattern over and over again.
Dimension
Koch snowflake has 1.262 dimensional
If we do this infinite number of times, we could have we will have infinitely many sides
Perimeter of Koch snowflake would be infinite but area of Koch snowflake is not infinite