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The beauty and power of mathematics | William Tavernetti | TEDxUCDavis

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    Some people look at a cat or a frog,
    and they think to themselves,
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    "This is beautiful, nature's masterpiece.
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    I want to understand that more deeply."
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    This way lies the life sciences,
    biology for example.
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    Other people, they pick up an example
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    like a roiling, boiling Sun,
    like our star,
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    and they think to themselves,
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    "That's fascinating.
    I want to understand that better."
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    This is physics.
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    Other people, they see an airplane,
    they want to build it,
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    optimize its flight performance,
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    build machines to explore
    all the universe.
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    This is engineering.
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    There is another group of people
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    that rather than try to pick up
    particular examples,
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    they study ideas and truth at its source.
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    These are mathematicians.
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    (Laughter)
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    When we look deeply at nature and really
    try to understand it, this is science,
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    and, of course, the scientific method.
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    Now, one way to divide
    the sciences is this way:
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    you have the natural sciences,
    that's physics and chemistry
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    with applications to life sciences,
    earth sciences, and space science.
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    You have the social sciences,
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    where you'll find things
    like politics and economics.
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    There's engineering and technology,
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    where you'll find
    all your engineering fields:
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    biomedical, chemical,
    computer, electrical,
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    mechanical and nuclear engineering.
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    And all the applications of technology:
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    biotechnology, communications,
    infrastructure, and all of that.
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    And last, but certainly
    not least, is the humanities,
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    where you'll find things
    like philosophy, art, and music.
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    Now, math does show up
    in all of these disciplines;
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    in some, like physics and engineering,
    its role is quite pronounced and obvious,
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    while in others, like in art and music,
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    the role of mathematics is definitely
    somewhat more specialized
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    and usually secondary.
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    Nevertheless, math is everywhere,
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    and for that reason, math is especially
    good at making connections.
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    How? How does math make connections?
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    This is an excellent question.
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    It's actually a question
    that's not easy to answer.
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    I think, for us now, in our time together,
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    the best we can do is get a sense
    of what the answer might look like
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    by examining some of the connections
    that mathematics can make
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    through the lens
    of some mathematical ideas.
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    Now, math is, of course, numbers,
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    and perhaps the most famous number
    of all is the number pi.
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    Pi was discovered because it represents
    a geometric property of the circle:
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    it is the ratio of the circumference
    of every circle to its diameter,
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    but nowhere in the world
    is anything a circle.
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    Circle is a kind of pure,
    mathematical idea,
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    a construction from geometry that says,
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    "You fix the center point,
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    and then you take all points that
    are equidistant from that center point."
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    In two dimensions,
    this construction produces a circle,
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    and in three dimensions,
    the same construction produces a sphere.
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    But nowhere in the universe
    is anything circle or sphere.
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    This is a perfect, pure, mathematical
    idea, and this world that we live in
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    is imperfect, rough, atomized, moving,
    and everything is slightly askew.
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    Nevertheless, the number pi
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    has been astonishingly useful
    to us throughout history.
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    Let's go through
    some of that history together.
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    Around the year 212 BC, Archimedes
    was murdered by a Roman soldier.
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    His dying words were,
    "Do not disturb my circles."
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    He wanted his favorite discovery
    put on his tomb.
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    It's shown here.
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    It says, basically,
    that the surface area of the sphere
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    is equal to the surface area
    of the smallest open cylinder
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    that can contain that sphere.
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    Around 1620, Johannes Kepler discovered
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    what he thought of as a harmony
    of planetary motion.
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    Isaac Newton would later
    build on this work.
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    Shown here is Kepler's celebrated
    third law of planetary motion.
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    From 1600 to 1700, Christiaan Huygens,
    Galileo Galilei, and Isaac Newton
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    were early pioneers,
    studying the pendulum,
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    shown here as a formula -
    T for the period of the pendulum,
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    which tells us something about
    how long it takes to swing back and forth.
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    The greatest mathematician
    of the 18th century, Leonhard Euler,
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    is responsible for
    discovering this formula:
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    e to the i theta equals
    cosine theta plus i sine theta.
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    This formula provides a key connection
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    between algebra,
    geometry, and trigonometry.
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    In the special case when theta equals pi,
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    it produces a relationship between
    arguably the five most important constants
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    in all of mathematics:
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    e to the i pi plus one equals 0.
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    Some people have called this the most
    beautiful formula in all of mathematics.
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    Leonhard Euler was also an engineer
    of some repute, and this formula for F -
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    the applied buckling force
    that a column, as shown in the cartoon,
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    will buckle under such an applied force -
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    is shown here.
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    The greatest mathematician
    of the 19th century, Carl Friedrich Gauss,
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    usually gets the credit
    for his work on what we call today
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    the standard normal distribution.
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    A staggering amount of real-world data
    is distributed this way,
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    according to what you might know
    as the bell curve of probability.
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    And our tour of history
    ends in the 20th century
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    with Albert Einstein
    and his famous theory of relativity.
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    Shown here are Einstein's field equations.
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    The difficulty to understand these
    equations is not to be underestimated.
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    Now, that was too fast, I know;
    that's a lot of information.
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    There's no exam,
    no midterm, so just relax.
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    (Laughter)
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    Remember we're trying
    to uncover connections.
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    Now, look at all of these formulas,
    every one of them with pi in it,
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    this number that is born
    from the geometry of the circle.
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    Look at all of the physical phenomena,
    how different they all are,
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    and yet they share this common connection
    to this geometric number from the circle.
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    So, when you see a formula
    and you see pi in it,
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    you might think to yourself,
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    "Maybe, somehow, someway,
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    the circle plays a part
    in the derivation of this formula."
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    Now, a circle is just one geometric form,
    and math is so much more,
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    and so, too, is the world
    and the connections that exist within it.
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    Look here; this is an airfoil in 2D -
    like the cross section of a wing.
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    And the lines you see are
    like the air flowing over and under it.
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    And here, this experiment shows a gas,
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    initially compressed by a retaining wall
    into one side of a vessel.
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    Then a hole is made in the retaining wall,
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    and the gas expands
    to fill the entire vessel
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    until it reaches a kind of equilibrium.
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    In this example, it shows a metal rod
    with a source of heat held under it,
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    in this case a flame.
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    Where the flame contacts the metal,
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    the heat will heat the rod
    and distribute along the rod
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    until it reaches
    a kind of thermal equilibrium.
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    And it would not do, it would not do
    to have all of this science
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    without
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    electricity making an appearance.
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    Shown here are the potential lines
    in an electric field,
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    which give us the paths
    that electrons will take
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    going from positive to negative charge.
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    Now, all of these examples
    are very different to our five senses -
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    so different, in fact, that in science,
    we give them all a different name.
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    That's potential flow,
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    Fick's law of chemical
    concentration diffusion,
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    Fourier's law of heat conduction,
    and Ohm's law of electrical conductance.
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    But in another kind of way, in a math
    kind of way, they're all very similar -
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    so similar, in fact, that in mathematics,
    we give them all the same name:
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    Laplace's equation.
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    That's not triangle u equals 0,
    that's Laplacian of u equals 0.
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    What changes for the mathematician
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    is u can be potential,
    and u can be chemical concentration,
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    and u can be heat and many
    other physical quantities
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    that this equation can be used
    to describe from nature.
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    You see, in mathematics, not only do we
    have numbers and we have geometry,
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    but we also have equations, and when we
    compare the equations of things,
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    this gives us yet another way
    in which things can be connected.
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    Now, the connection between
    all of these science problems is calculus,
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    and you should see
    that calculus is essential
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    and foundational
    to modern computational science.
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    Now, we've seen something about numbers
    and geometry and equations.
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    But let's put it all together,
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    because that's math.
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    Let's see an application of mathematics.
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    I want us to go
    through a construction here.
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    This is what we'll call
    the first generation.
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    And this, the second generation.
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    Look at the pattern, what happens
    to positive and negative space.
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    And then the third generation.
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    And so you see a pattern start to develop.
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    Now, in your mind,
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    decide what the fourth generation
    should look like.
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    Is this your expectation?
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    And then the fifth generation.
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    And then the fifth generation.
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    And then - there we go.
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    And then the fifth generation
    and dot dot dot forever.
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    That's the fractal.
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    The pattern never terminates.
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    It never completes.
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    There's no end to the complexity,
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    no smallest part
    of this geometric structure.
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    In fact, this is a famous fractal,
    a Sierpinski triangle.
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    The fractal has never even
    been constructed in all of human history.
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    It's never been completed; it can't be
    completed; it never terminates.
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    When you see a fractal with your mind,
    you never see all of it,
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    you only get the sense of it.
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    Now, appreciation of fractals
    really took off in the 1970s,
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    after Benoît Mandelbrot's work.
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    And part of the reason
    for the late bloom of this idea
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    was that it really took
    the aid of the modern computer
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    to properly compute and visualize
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    this type of tremendous
    geometric complexity.
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    Shown here at the top
    is the famous Mandelbrot fractal.
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    And notice, there is a zoom up
    of the tiny segment of the fractal,
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    magnified so you can see it.
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    Just look at the complexity
    of that region.
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    If we zoom in there and magnify, no matter
    how much we zoom into the fractal,
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    the complexity will never diminish.
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    This is not an easy thing to understand.
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    This geometry is so complicated,
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    it is unclear if it has any equivalent
    in the natural world.
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    And yet, once people became aware
    of the existence of this kind of object,
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    they started to see examples of it
    in applications everywhere.
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    This is a kind of
    Baader-Meinhof phenomenon,
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    where your mind becomes
    primed for knowledge.
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    And then when you go out
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    and look after learning it,
    you start to see it everywhere.
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    People started to see fractals
    in the geometry of landscapes
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    and coastlines, like this of Sark,
    which is in the English Channel.
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    People found uses for fractals
    in signal and image compression,
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    and they even saw fractals in the snowfall
    deposits on mountain ridges,
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    like this Google Landsat data on the left
    and a fractal that I made on the right
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    to mimic the same type of structure
    and geometric complexity.
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    Fractals even show up in the geometry
    of the snowflakes themselves
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    and in a staggering number
    of biological forms.
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    There are also notable uses
    of fractals in human creative space,
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    like music and art,
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    where once people become aware
    of the existence of this type of geometry
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    and they had access to codes
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    and with their computer they
    could make this kind of geometry,
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    they started to make use of it
    in unpredictable ways.
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    Now, this is an aesthetic
    application of mathematics,
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    but many people study mathematics
    just because they find it interesting
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    or aesthetically beautiful.
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    Other people want math as a hard skill:
    they want to be an engineer,
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    they want to predict the weather,
    they want to go to space.
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    There is no wrong reason to learn.
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    Now, you see, mathematics
    is like a vast ocean of ideas,
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    the source of truth.
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    And today, we took one cup
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    and walked to the water's edge
    and dipped it in the water.
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    And in our cup was one number, pi;
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    one geometric form, the circle;
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    and one equation, Laplace's equation.
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    And just look at the breathtaking scope
    of ideas that we were able to consider.
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    And finally, in fractals,
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    we just glimpsed the faintest hint
    of an idea about geometric complexity
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    that expands our experience
    of what is possible.
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    You see,
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    the power of mathematics is that it
    is useful in so many different ways,
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    and that is the beauty
    of learning mathematics.
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    And to me, this is the meaning
    in the words of Galileo:
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    "If I were again beginning my studies,
    I would follow the advice of Plato
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    and start with Mathematics."
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    Thank you.
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    (Applause)
Title:
The beauty and power of mathematics | William Tavernetti | TEDxUCDavis
Description:

William Tavernetti has a PhD in Applied Mathematics from UC Davis and is currently a lecturer at UC Davis in the department of Mathematics. William also works as a teacher fellow for the Introduction to Engineering Mechanics Cluster at the California State Summer School for Mathematics and Science (COSMOS). Prior to graduate school, William worked as a Junior Reliability Engineer for Valador Inc., supporting the NASA Altair lunar lander. William also holds a BA in Philosophy and a BS in Mathematical Sciences from UC Santa Barbara.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

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Video Language:
English
Team:
closed TED
Project:
TEDxTalks
Duration:
12:42

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