Money Equilibrium? Maximizing Entropy w/ Given Denominations

AI Thread Summary
The discussion revolves around the concept of maximizing entropy in a distribution of coins that total a specific amount, specifically 100 cents. It explores the balance between having a diverse set of coin denominations versus having a single denomination to maximize the number of possible sums. The central question is how to determine the optimal distribution of coins to maximize the number of distinct values that can be formed from a random selection of coins. The conversation suggests that while having a variety of coins allows for the creation of all integer values up to 100 cents, the measurement of entropy in this context is complex. Key considerations include how to quantify the randomness of selected coin values and whether to use metrics like standard deviation or the count of distinct values to assess entropy. The idea of simulating different distributions to find the most effective one is also proposed, highlighting the mathematical and combinatorial aspects of the problem.
alxm
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Just a musing I had.. how far from thermodynamic equilibrium is the change in my pocket?

Obviously having any given amount in the smallest denomination only, maximizes a degree of freedom in the sense that I can form the largest number of sums with it, meaning higher entropy. But on the other hand, I have lower entropy in the sense that I then only have one kind of coin.

So the question is.. for a given distribution of denominations, e.g. {1, 5, 10, 25, 50, 100} and a given amount of money (e.g. 100 cents), which distribution of coins will maximize the entropy?

Any combinatorics fans want to take a crack at this? :smile:
 
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I guess the question is how you measure entropy given the two possibilities. My instinct answer is that with 5 pennies, 2 nickels, 1 dime, 1 quarter, and 1 half dollar, you can create ALL integer values between 0-100, and have the widest variety of coins possible that still allows you to create all values. But that's far from a scientific answer.

I think the interesting question would be somewhere along the lines of:

Given T coins totaling 100 cents in value, N coins are chosen randomly where 1 <= N <= T. The value of the N coins is V. What distribution of coins should be chosen to maximize the probable number of distinct values for V?

In other words, if you had 100 pennies, then V = N for all values of N. But with a different distribution, V is variable. And obviously, with 95 pennies and 1 nickel, V you have potential for V = N or V = N+4. But also, N+4 is relatively unlikely when choosing only a few coins.

So, how would you measure that? I'm pretty sure I could write a program to simulate this action, and get a good guess at the best distribution. But how do you measure the randomness of a given sample set of V for a given value N? Do you take the standard deviation? The number of distinct values? Some combination of the two? I honestly don't recall how you assign a specific number for a value of entropy...

DaveE
 
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