continuous everywhere but nowhere differ en ti able functions and fractals
TRANSCRIPT
Andrew HwangF PeriodDeggeller
Continuous everywhere but differentiable nowhere functions and fractals
Our group’s final project branched off of the topic of the Weierstrass
function, a function that is continuous everywhere yet differentiable nowhere. The
Weierstrass function is shown above. We decided to go further and explore other
functions that had this same property, one being the blancmange function.
Branching off even further, our group explored fractals, as the Weierstrass function
and blancmange function are technically fractals.
In this project, I cover the blancmange function, otherwise known as the
Takagi fractal curve. I also did fractals in general, especially the properties of
fractals. Along with the properties, I also covered the general definition of fractals
and finding pictures of fractals.
In doing research for the Weierstrass function, I found that there were more
continuous everywhere yet differentiable
nowhere functions. The most famous among
these is the blancmange function, also known
as the Takagi-Landsberg curve. To construct
this curve, one can take a sawtooth function,
much like a negative absolute value function, and continually increasing the
periodicity of the function while halving the height of the function and infinite
number of times. All iterations are added together, creating a graph like the one
shown to the right. The blancmange function’s equation is blanc( x )=∑
n=0
¥ s (2n x )2n .
The function “s” is the distance from x to the closest integer. The Takagi-Landsberg
curve is a generalization of the blancmange function, given by the equation
T w (x )=∑n=0
¥
wn s(2n x ). In this equation, “w” is a number; if “w” is ½, then the
blancmange function is given. Interestingly, if “w” is ¼, the function yields a
parabola.
As a connection to the next part of our project, I used the blancmange and
Weierstrass functions to transition into fractals, geometric shapes that can be split
into parts, each being a reduced copy of the
entire graph. In identifying fractals, certain
properties must be observed. Among these
include self-similarity, or the repetition of
patterns at all scales, and infinite complexity and detail. Fractals must also be too
irregular to be described in terms of geometry; therefore, a line is not considered a
fractal. Other properties include being able to enclose a finite area with one single
line, and being formed through iterative process, where some process that makes
the shape is repeated infinitely.