snowflakes and fractals tsp water project 2004 team leader David - - PowerPoint PPT Presentation

snowflakes and fractals
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snowflakes and fractals tsp water project 2004 team leader David - - PowerPoint PPT Presentation

snowflakes and fractals tsp water project 2004 team leader David Curtin team members Thomas Clement Julian Gibbons Jeff Gordon Enoch Lau Ozan Onay John Sun Pictures from http: / / www.its.caltech.edu/ ~ atomic/ snowcrystals/


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snowflakes and fractals

tsp water project 2004

Pictures from http: / / www.its.caltech.edu/ ~ atomic/ snowcrystals/ photos/ photos.htm, http: / / www.lsbu.ac.uk/ water/ molecule.html, Presentation by Enoch Lau

team leader

David Curtin

team members

Thomas Clement Julian Gibbons Jeff Gordon Enoch Lau Ozan Onay John Sun

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Snowflakes and Fractals

TS P Water Proj ect 2004

S nowflakes and Fractals

  • Mathematics Focus Group
  • Computing Focus Group

Picture from http: / / www.fractaldomains.com/ ronda/ joe/ ronda.shtml

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Snowflakes and Fractals

TS P Water Proj ect 2004

L-S ystems

  • Iterative approach to fractal construction.
  • Repeatedly replaces line segments with

pre-determined constructions.

  • Fractal is the result of infinitely many

iterations.

Before F After F + F – – F + F

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Snowflakes and Fractals

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Koch S nowflake

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Snowflakes and Fractals

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L-S ystem S nowflake

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Snowflakes and Fractals

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Metric S paces

  • Different definitions of distance.
  • Use the new definition to prove desired

results.

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Snowflakes and Fractals

TS P Water Proj ect 2004

Koch S nowflake

  • The Hausdorff metric is complete – all

Cauchy sequences in it converge.

  • For Koch curve, Hausdorff distance

translated into the height of the triangles added by each iteration (red).

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Snowflakes and Fractals

TS P Water Proj ect 2004

Implications

  • The Koch curve exists – it does not

spread out infinitely far.

  • The image we produce is unique –

this method of generating fractals is not chaotic, but thoroughly systematic.

  • Snowflake formation follows a very

different model!

END OF MATHEMATICS SECTION

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Snowflakes and Fractals

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S nowflakes on Computer

Picture from http: / / www.alunw.freeuk.com/ fractaltour.html

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Snowflakes and Fractals

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Physical Principles

  • Snowflakes are not merely frozen water,

as they exhibit crystalline structures.

  • Variations in snowflake formation is due to

dust particles, temperature and humidity.

Dust Picture from http: / / www.math.niu.edu/ ~ rusin/ known-math/ index/ tour_alg.html

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Snowflakes and Fractals

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Physical Principles

Picture from http: / / library.tedankara.k12.tr/ chemistry/ vol2/ hydrogen% 20bonding/ z20.htm

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Snowflakes and Fractals

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Diffusion Limited Aggregation

  • DLA approximates real-life snowflake

construction.

  • Begin with a seed cluster in the middle.
  • Free particles move until they collide with

the main cluster.

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Snowflakes and Fractals

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Grid-based Implementation

  • Matrix elements store different numbers

to represent “on” and “off” positions.

  • By treating each element as two points, it

behaves like a triangular/ hexagonal grid.

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Snowflakes and Fractals

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Grid-based Implementation

  • Triangular grid had no effect on

symmetry.

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Snowflakes and Fractals

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Particle-based Implementation

  • Virtual particles move in a simulated

environment.

Sim ulated Environm ent

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Snowflakes and Fractals

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Particle-based Implementation

QuickTim e version QuickTim e version

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Snowflakes and Fractals

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Particle-based Implementation

  • Fits the dimension equation very well:

N(r) = k.rd

y = 1.48x + 0.99 R2 = 1.00

1 2 3 4

0.5 1 1.5 2

Log(Radius in pixels) Log(Particles)

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Snowflakes and Fractals

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Conclusion