WTSM 100L: Patterns in Nature
Study guide for second exam
(Thursday, November 1, 2007)
Ground
rules
You
may bring a 3” x 5” index card on which you may write anything you want. You must
turn this card in with your completed exam. You may bring a calculator (and may
program it as you wish, but be sure you know how to use it and be sure the
batteries are charged). Upon request, you may briefly use the computers to
check answers. No other assistance will be permitted.
Full
credit will not be given on any mathematical question unless you show your work
(for example, make it clear what formula/procedure you’re using and what
numbers you’re plugging in) and indicate your answer clearly. On questions
requiring verbal answers, your answers should be clear, specific,
and correct. You may supplement your words with clearly labeled sketches
or illustrations.
The
exam will be similar in length and format to the first exam.
Fractals
·
Explain what scale invariance and self-similarity are. Be able to give
examples and relate the terms to fractals.
·
Sometimes fractals are said to have “symmetry under magnification.”
Explain what this means, using the concepts of symmetry that we discussed
earlier in the semester.
·
Explain in words how a fractal such as the Koch curve, Sierpinski
gasket, or Cantor set (for example) can be generated using the
initiator/generator method.
·
Given an initiator/generator, draw the first few stages of the
corresponding fractal.
Fractal
dimension; length and area
·
Show (mathematically) what happens to the length of a fractal such as
the Koch curve or Cantor middle-third set as the number of stages approaches
infinity. Also show what happens to the area.
·
Explain why the length of a coastline depends on the scale used to
measure it.
·
Given a regular mathematical fractal, identify the scale factor r and
number of copies N, and be able to calculate its fractal dimension (similarity
or Hausdorff dimension) from N and r.
·
Given a fractal, be able to use the box-counting method to determine
its fractal dimension. (Note: because of time and computer constraints, I won’t
expect you to go through all the steps, but be able to describe/explain what
should be done at each step, and given a graph with a trendline,
be able to interpret it to determine the fractal dimension.)
·
Explain what the fractal dimension tells you about an object.
IFS
method
·
Given a set of IFS transformations, describe in words what each of the
transformations do (in terms of copies, scalings,
reflections, rotations, translations).
·
Find the IFS parameters needed to create a given fractal (similar to
homework and in-class exercises).
·
Given a (naturalistic) fractal and the IFS transformations that created
it, identify which stage 1 pieces of the fractal correspond to which
transformations.
·
Explain why it doesn’t matter what the initial figure used in the IFS
method is, just what the transformations are.
·
Describe the strategy for winning the Chaos Game in a particular case.
·
Explain how to find the “address” of a specific piece of a fractal in
terms of the sequence of IFS transformations that generate that piece of the
fractal. Show why this means that applying the IFS transformations repeatedly
and randomly can generate a fractal.
Natural
fractals
·
Describe advantages to using fractals to represent natural forms.
·
Explain why it is hard to generate realistic fractal images of plants
such as trees.
·
Explain why the image of a fractal on a computer screen (or a piece of
paper) isn’t a true mathematical fractal.
·
Give some examples of natural fractals and explain why they can be
considered to be fractal.
·
Explain how natural fractals are different from mathematical fractals.
·
Explain what a random walk is. Show how a random walk can be used to
create “fractal forgeries” of landscapes such as mountains and coastlines.
·
Explain what a percolation cluster is. Give some examples of natural
processes that can be modeled with a percolation cluster. For the Blaze Applet,
describe what happens to the number of unburned trees as the fraction of
“trees” growing increases.
·
Explain what aggregation is. Describe the differences (in how they work
and what kind of structures they produce) between diffusion-limited aggregation
(DLA) and ballistic aggregation.
·
Describe the Hele-Shaw cell experiment
(viscous fingering) that was demonstrated in class.
·
State the two factors that are common to the formation of many types of
branching structures (electrical discharges, Hele-Shaw,
aggregation, bacterial growth, etc.), and explain how these two factors act to
make similar structures.
·
In the context of
snow crystal growth, explain what a dendrite is, and what affects the number of branches in a dendrite.
Explain what faceting is, and what kinds of structures (including symmetries)
are produced by faceting. Describe how the formation of snowflakes involves an interplay between randomness and symmetry (diffusion and
faceting).
Mandelbrot
set
·
Be able to multiply and add complex numbers.
·
Be able to plot a given complex number in its proper position in the
complex plane.
·
By multiplying and adding, show what happens to a specific complex
number under the “square and add” procedure (for the complex number c to be
tested, calculate z=02+c, then calculate z2+c, etc.).
Explain how the eventual behavior of this iterative procedure determines
whether or not c is in the Mandelbrot set.
·
Describe the procedure (algorithm) by which the Mandelbrot set is
generated by a computer.
·
Explain what the Mandelbrot set has to do with fractals.
·
Point out some interesting features of the Mandelbrot set.