TED: Fractals and the art of roughness | Benoit Mandelbrot

Interactive Video
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Mathematics
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10th - 12th Grade
•
Hard
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary contrast the speaker makes between roughness and regularity?
Roughness is more predictable than regularity.
Regularity is a subset of roughness.
Roughness is a fundamental aspect of the world, unlike regularity.
Regularity is more complex than roughness.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does the speaker illustrate the concept of self-similarity?
By comparing it to a mathematical equation.
By using the example of a cauliflower.
By discussing the structure of a coastline.
By explaining the growth of a tree.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is one application of roughness measurements mentioned by the speaker?
Designing smoother roads.
Creating artificial landscapes for cinema.
Improving the texture of fabrics.
Developing new cooking techniques.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What significant mathematical concept does the speaker introduce in relation to natural complexities?
The concept of symmetry.
The idea of fractals.
The theory of relativity.
The principle of least action.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the speaker suggest about the relationship between mathematics and visible reality?
Mathematics and visible reality are completely unrelated.
Visible reality is more complex than mathematical concepts.
Mathematics is always a reflection of visible reality.
Mathematics can create concepts that do not exist in visible reality.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What was the speaker's initial field of study that led him to explore roughness?
Geology
Astronomy
Biology
Stock market analysis
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How did the advent of computers impact the speaker's research?
It allowed him to solve complex equations manually.
It enabled him to explore new mathematical problems.
It helped him apply computers to old mathematical problems.
It made his research obsolete.
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