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Mathematicians, and esp. number theorists, are used to working with big numbers. I have noted on several occasions that lots of people don't have a clear understanding of big numbers as far as the real world is concerned. I recall a request for a list of all primes of less than 500 digits.

Another example is homeopathic dilutions. I understand they use dilutions like 200C, which is 1 in $10^{400}$. An absurd number in view of the fact that the total number of particles in the universe is estimated (safe margin) to be less than a googol.

How would you give people insight in big numbers? I'm not talking about Skewes' Number or Graham's Number; for most practical purposes $10^{20}$ is equal to infinity.

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To whoever voted me down: if you vote this down, please also tell me why. Thanks

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    See [this video](https://www.youtube.com/watch?v=QXliQvd1vW0&list=PL3A50BB9C34AB36B3&index=1).2018-07-20

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Very few (if any) mathematicians have significant insight regarding huge natural numbers (cf. various ultrafinitism arguments). Perhaps the only exceptions are logicians who work with esoteric ordinal notations. This is one of the few ways one can gain any insight into arbitrarily large numbers - using various complicated inductions to show that some property holds for all naturals - thus lifting our intuition up from small naturals to arbitrarily large naturals. For example, see the Goodstein sequence (or, more graphically: the Hercules vs. Hydra game) which encodes the ordinals below $\epsilon_0 = \omega^{\omega^{\omega^{\cdot^{\cdot^\cdot}}}} \;$ into huge natural numbers.

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    @PeteL.Clark What about the fast growing hierarchy? :-)2017-04-14
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Though I don't quite know that you actually want to hear - what kind of numbers do you want to give people insight in, whom and why? - I'll give a few thoughts.

I) Real cases

That's just understanding of natural sciences - numbers of particles in the universe, number of cells in a body ... Try to first of all break down the number by using smaller parts of the example - e.g. count bacteria in a drop of water and not in a whole lake.

II) Thought experiments (explaining probabilities, complexity etc.)

Extremely big numbers arise when you try to visualize probabilities or complexities, especially when exponential growth is involved. What about getting the jackpot ten times successively or trying to solve a TSP for 100 cities.

When you know people aren't comfortable with that big numbers, decide:

  • Is it really important to know the number? Maybe, extremely long or extremely improbable is just the important fact.

  • Can you find an easier to grasp example (special units)? Longer than the universe is old is better than insert giant amount of milliseconds.

  • Can you describe the growth differently? If your problem with 999 cities can be solved in a certain amount of time and you take one additional city, you'll need 1000 times longer

III) Data

Especially in the context of CS / cryptography, numbers can often most accurately be explained as some data you can calculate with.

E.g. RSA (as in your link) is of course a mathematical, number-based algorithm, but in fact, you're encrypting data, so why not say a 500 char key instead of explaining the giant number involved there.

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    @stevenvh It'll take a human a quadrillion years to crack it if they were doing it by hand?2011-01-22
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I like using real world examples to demonstrate big numbers. One great example is Poincaré's recurrence theorem applied to our Universe.

The volume of our Universe is roughly $4\cdot10^{32}$ light years cubed. Its big.

In laymen's terms, Poincaré's recurrence theorem calculates how much time must past before the quantum state of a system returns to its initial state. Said another way, it is the amount of time until the system repeats itself. Physicist Don Page wrote a paper which he calculated that time applied to our Universe. He estimated Poincaré's recurrence of our Universe would happen in:

$10^{10^{10^{10^{10^{1.1}}}}} years$

This number is ridiculously big. The Universe would sooner experience heat death before we reach Poincaré's recurrence. Heat death is when all energy in the Universe reaches equilibrium. There would be no more thermodynamic free energy to sustain processes that increase entropy. Heat death is estimated to happen in:

$10^{10^{10^{56}}} years.$

One side fact about Poincaré's recurrence is that we can't ever observe it. Hope that helps.

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    Yeah, after I posted it I realized that it didn't really help. I think the best bet for helping people understand big numbers is taking them through a progression for how to build them. Maybe walking them through the fast growing hierarchy? Successorship, addition, multiplication, exponentiation, tetration, etc.. It does a good job of showing the magnitude of each jump in hyperoperation. You get a sense for the power of the function by the one that came before it. Use something like n=3 for the examples.2016-10-19