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What's so sexy about math?

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    What is it that French people
    do better than all the others?
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    If you would take polls,
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    the top three answers might be:
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    love, wine and whining.
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    (Laughter)
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    Maybe.
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    But let me suggest a fourth one:
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    mathematics.
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    Did you know that Paris
    has more mathematicians
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    than any other city in the world?
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    And the most streets
    with mathematician's names, too.
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    And if you look at the statistics
    of the Fields Medal,
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    often called the Nobel Prize
    for mathematics,
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    and always awarded to mathematicians
    below the age of 40,
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    you will find that France has more
    [......]
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    than any other country.
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    What is it that we find so sexy in math?
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    After all, it seems to be
    dull and abstract,
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    just numbers and computations
    and rules to apply.
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    Mathematics may be abstract,
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    but it's not dull
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    and it's not about computing.
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    It is about reasoning
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    and proving our core activity.
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    It is about imagination,
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    the talent which we most praise.
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    It is about finding the truth.
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    There's nothing like the feeling
    which invades you
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    when after months of hard thinking,
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    you finally understand the right
    reasoning to solve your problem.
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    The great mathematician
    André Weil likened this --
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    no kidding --
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    to sexual pleasure.
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    But noted that this feeling
    can last for hours or even days.
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    The reward may be big.
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    Hidden mathematical truths
    permeate our whole physical world.
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    They are inaccessible to our senses,
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    but can be seen
    through mathematical lenses.
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    Close your eyes for moment
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    and think of what is occurring
    right now around you.
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    Invisible particles from the air
    around are bumping on you
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    by the billions and billions
    at each second.
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    [All in complete cause]
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    and still,
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    their statistics can be accurately
    predicted by mathematical physics.
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    And open your eyes now
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    to the statistics of the velocities
    of these particles.
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    The famous bell-shaped Gauss Curve,
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    or the Law of Errors --
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    of deviations [in] respect
    to the mean behavior.
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    This curve tells about the statistics
    of velocities of particles
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    in the same way as a demographic curve
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    would tell about the statistics
    of ages of individuals.
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    It's one of the most
    important curves ever.
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    It keeps on occurring again and again,
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    from many theories and many experiments,
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    as a great example of the universality,
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    which is so dear to us mathematicians.
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    Of this curve,
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    the famous scientist Francis Galton said,
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    "It would have been deified by the Greeks
    if they had known it.
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    It is the supreme law of Unreason."
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    And there's no better way to materialize
    that supreme goddess than Galton's board.
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    Inside this board are narrow tunnels
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    through which tiny balls
    will fall down randomly,
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    going right or left, or left, etc ...
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    All in complete randomness and [cause].
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    Let's see what happens when we look
    at all these random trajectories together.
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    (Board shaking)
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    This is a bit of a sport,
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    because we need to resolve
    some traffic jams in there.
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    Aha.
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    We see that randomness
    is going to play me a trick on stage.
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    There it is.
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    Our supreme goddess of unreason.
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    The Gauss Curve,
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    trapped here inside this transparent box
    as Dream in "The Sandman" comics.
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    For you I have shown it,
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    but to my students I explain why
    it could not be any other curve.
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    And this is touching
    the mystery of that goddess,
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    replacing a beautiful coincidence
    by a beautiful explanation.
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    All of science is like this.
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    And beautiful, mathematical explanations
    are not only for our pleasure,
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    they also change our vision of the world.
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    For instance,
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    Einstein,
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    Perrin,
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    Smoluchowski,
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    they used the mathematical analysis
    of random trajectories
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    and the Gauss Curve
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    to explain and prove that our
    world is made of atoms.
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    That was not the first time
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    that mathematics was revolutionizing
    our view of the world.
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    More than 2,000 years ago,
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    at the time of the Ancient Greeks,
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    it already occurred.
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    In those days,
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    only a small fraction of the world
    had been explored,
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    and the Earth might have seemed infinite.
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    But clever Eratosthenes,
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    using mathematics,
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    was able to measure the Earth
    with an amazing accuracy of two percent.
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    Here's another example.
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    In 1673, Jean Richer noticed
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    that the pendulum swings slightly
    slower in Cayenne than in Paris.
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    From this observation alone
    and clever mathematics,
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    Newton rightly deduced
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    that the Earth is a wee bit
    flattened at the poles,
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    like point three percent,
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    so tiny that you wouldn't even
    notice it on the real view of the Earth.
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    These stories show
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    that mathematics is able
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    to make us go out of our intuition,
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    measure the Earth which seems infinite,
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    see atoms which are invisible,
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    or detect an imperceptible
    variation of shape.
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    And if there is just one thing that you
    should take home from this talk,
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    it is this:
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    mathematics allows us
    to go beyond the intuition
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    and explore territories
    which do not fit within our grasp.
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    Here's a modern example
    you will all relate to ...
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    searching the Internet.
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    The World Wide Web,
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    more than one billion web pages --
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    do you want to go through them all?
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    Computing power helps,
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    but it would be useless without
    the mathematical modeling
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    to find the information
    hidden in the data.
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    Let's work out a baby problem.
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    Imagine that you're a detective
    working on a crime case,
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    and there are many people
    who have their version of the facts.
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    Who do you want to interview first?
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    Sensible answer:
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    prime witnesses.
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    You see,
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    suppose that there is person number seven,
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    tells you a story,
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    but when you ask where he got if from,
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    he points to person
    number three as a source,
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    and maybe person number three, in turn,
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    points at person number one
    as the primary source.
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    Now number one is a prime witness,
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    so I definitely want to interview him --
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    priority.
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    And from the graph
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    we also see that person
    number four is a prime witness.
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    And maybe I even want
    to interview him first,
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    because there are more
    people who refer to him.
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    OK, that was easy,
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    but now what about if you have big
    bunch of people who will testify?
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    And this graph,
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    I may think of it
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    as all people who testify
    in a complicated crime case,
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    but it may just as well be web pages
    pointing to each other,
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    referring to each other for contents.
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    Which ones are the most authoritative?
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    Not so clear.
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    Enter page rank,
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    one of the early cornerstones of Google.
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    This algorithm uses the laws
    of mathematical randomness
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    to determine automatically
    the most relevant web pages,
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    in the same way as we used randomness
    in the Galton Board experiment.
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    So let's send into this graph
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    a bunch of tiny, digital marbles
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    and let them go randomly
    through the graph.
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    Each time they arrive at some site,
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    they will go out through some link
    chosen at random to the next one.
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    And again, and again, and again.
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    And with small, growing piles,
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    we'll keep the record of how many
    times each site has been visited
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    by these digital marbles.
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    Here we go.
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    Randomness, randomness.
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    And from time to time,
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    also let's make jumps completely
    randomly to increase the fun.
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    And look at this:
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    from the curves will emerge the solution.
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    The highest piles
    correspond to those sites
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    which somehow are better
    connected than the others,
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    more pointed at than the others.
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    And here we see clearly
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    which are the web pages
    we want to first try.
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    Once again,
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    the solution emerges from the randomness.
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    Of course since that time,
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    Google has come up with much more
    sophisticated algorithms,
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    but already this was beautiful.
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    And still,
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    just one problem in a million.
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    With the event of digital [area],
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    more and more problems lend
    themselves to mathematical analysis,
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    making the job of mathematicians
    a more and more useful one,
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    to the extent that a few years ago,
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    it was ranked number one
    among hundreds of jobs
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    in a study about the best and worst jobs
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    published by the Wall Street
    Journal in 2009.
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    Mathematician --
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    best job in the world.
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    That's because of the applications,
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    communication theory,
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    information theory,
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    game theory,
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    compressed sensing,
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    machine learning,
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    graph analysis,
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    [....] analysis.
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    And why not stochastic processes,
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    linear programming,
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    or [fruit] simulation?
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    Each of these fields have
    monster industry reputations.
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    And through them,
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    there is big money in mathematics.
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    And let me concede
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    that when it comes to making
    money from the math,
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    the Americans are by a long shot
    the world champions,
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    with clever, emblematic billionaires
    and amazing, giant companies,
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    all resting, ultimately,
    on good algorithm.
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    Now with all this beauty,
    usefulness and wealth,
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    mathematics does look more sexy,
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    but don't you think
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    that the life a mathematical
    researcher is an easy one.
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    It is filled with perplexity,
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    frustration --
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    (Laughter)
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    A desperate fight for understanding.
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    Let me evoke for you
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    one of the most striking days
    in my mathematician's life.
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    Or should I say,
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    one of the most striking nights.
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    At that time,
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    I was staying at the Institute
    for Advanced Studies in Princeton --
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    for many years,
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    the home of Albert Einstein,
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    and arguably the most holy place
    for mathematical research in the world.
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    And that night I was working
    and working on an elusive proof,
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    which was incomplete.
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    It was all about understanding
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    the paradoxical stability
    property of plasmas,
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    which are a crowd of electrons.
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    In the perfect world of plasma,
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    there are no collisions and no friction
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    to provide the stability
    like we are used to.
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    But still,
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    if you slightly perturb
    a plasma equilibrium,
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    you will find that the
    resulting electric shield
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    spontaneously vanishes,
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    or damps out,
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    as if by some mysterious friction force.
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    This paradoxical effect,
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    called the Landau damping,
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    is one of the most important
    in plasma physics,
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    and it was discovered
    through mathematical ideas.
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    But still,
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    a full mathematical understanding
    of this phenomenon was missing.
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    And together with my former student
    and main collaborator Clément Mouhot,
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    in Paris at the time,
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    we had been working for months
    and months on such a proof.
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    Actually,
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    I had already announced by mistake
    that we could solve it,
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    but the truth is,
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    the proof was just not working.
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    In spite of more than 100 pages
    of complicated, mathematical arguments,
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    and a bunch discoveries,
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    and huge calculation,
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    it was not working.
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    And that night in Princeton,
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    a certain gap in the chain of arguments
    was driving me crazy.
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    I was putting in there all my energy
    and experience and tricks,
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    and still nothing was working.
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    1am, 2am, 3am,
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    not working.
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    Around 4am I go to bed in low spirits.
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    Then a few hours later,
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    waking up and go,
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    "Ah it's time to get
    the kids to school --"
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    What is this?
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    There was this voice in my head, I swear.
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    "Take the second term to the other side,
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    fully transform and invert [near two]."
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    (Laughter)
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    Damnit,
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    that was the start of the solution!
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    You see,
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    I thought I had taken some rest,
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    but really my brain had
    continued to work on it.
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    In those moments,
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    you don't think of your career
    or your colleagues,
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    it's just a complete battle
    between the problem and you.
  • 14:32 - 14:34
    That being said,
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    it does not harm when you do get
    a promotion in reward for your hard work.
  • 14:38 - 14:43
    And after we completed our huge
    analysis of the Landau damping,
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    I was lucky enough
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    to get the most coveted Fields Medal
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    from the hands of the President of India,
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    in Hyderabad on 19 August, 2010.
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    An honor that mathematicians
    never dare to dream.
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    A day that I will remember until I [die].
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    What do you think,
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    on such an occasion ...
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    pride, yes?
  • 15:08 - 15:12
    And gratitude to the man collaborators
    who made this possible.
  • 15:13 - 15:15
    And because it was a collective adventure,
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    you need to share it not just
    with your collaborators.
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    I believe that everybody can appreciate
    the thrill of mathematical research,
  • 15:25 - 15:30
    and share the passionate stories
    of humans and ideas behind it.
  • 15:31 - 15:36
    And I've been working with my staff
    at Institute Henri Poincaré,
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    together with partners and artists
    of mathematical communication worldwide,
  • 15:41 - 15:45
    so that we can found our own,
    very special museum of mathematics there.
  • 15:47 - 15:49
    So in a few years,
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    when you come to Paris,
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    after tasting the great, crispy
    baguette and macaroons,
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    please come and visit us
    at Institute Henri Poincaré,
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    and share the mathematical dream with us.
  • 16:03 - 16:04
    Thank you.
  • 16:04 - 16:06
    (Applause)
Title:
What's so sexy about math?
Speaker:
Cédric Villani
Description:

more » « less
Video Language:
English
Team:
closed TED
Project:
TEDTalks
Duration:
16:23
  • The following subtitle has a typo. It should be “many” instead of “man.”

    15:08 - 15:11
    And gratitude to the man collaborators
    who made this possible.

  • 7:46 should be: so I definitely want to interview him IN priority. (dot is also missing)

  • This transcript was updated on 8/17/16.

    At 15:08, the phrase "man collaborators" was changed to "many collaborators."

English subtitles

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