Undergrad Can Generating Functions Simplify the Calculation of Currency Combinations?

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The discussion focuses on using generating functions to solve a combinatorial problem related to calculating the number of ways to make d dollars using bills from $1 to $N. The participant derived a recursion relation for the function f_N(d), which counts the combinations, and noted that for larger values of N, finding a closed-form expression becomes challenging. They also mentioned that f_N(d) relates to the concept of partitions of d, with the condition that the number of bills in each category must adhere to specific divisibility rules. The participant is seeking approximations for large N and d, referencing existing research by Hardy and Ramanujan on partition approximations. Overall, the exploration highlights the complexity of deriving a simple solution while acknowledging the potential for effective approximations.
Isaac0427
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A currency consists of a $1 bill, a $2 bill, a $3 bill, etc. up until an $N bill. How many ways can one make d dollars with these bills?
This is an interesting combinatorics problem that I thought of. Oddly, I think I know of an application of said problem to physics, but I could not find any problem like it online (the closest I got was the Knapsack problem, which is just about optimization). My initial instinct was to look for patterns in simpler cases, which I did. For notation, let ##f_N(d)## be the number of ways to make d dollars with $1 through $N bills (using as many of each type of bill as you want). Here are my first results:
$$f_1(d)=1$$
$$f_2(d)=
\left\{\begin{matrix}
\frac{d}{2}+1, & d=2n\\
\frac{d}{2}+\frac{1}{2}, & d=2n-1
\end{matrix}\right.$$
where n and d are natural numbers.

I also came up with this recursion relation:
$$f_{N+1}(d)=f_N(d)+f_N(d-N)+f_N(d-2N)+f_N(d-3N)+...=\sum_{j=0}^{\infty}f_N(d-jN)$$
where ##f_N(0)=1## and ##f_N(-d)=0## for all natural numbers N and d. I believe this recursion relation is correct but I am not 100% positive.

This is not easily usable for calculating ##f_N(d)## for N larger than 4 or 5, which is where my question lies: can one get a simple-ish closed form expression for ##f_N(d)##, and if so, what is it? I am especially (though not exclusively) interested in an approximation for large N and an approximation for large d.

Note: A helpful way I found to think about this is having N buckets to place d balls in, with the condition that the number of balls in the 2nd bucket must be divisible by 2 (including zero), the number of balls in the 3rd bucket must be divisible by 3 (again, including zero), etc.

Thank you in advance for any insight you may give on this problem!
 
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Have you tried generating a few terms and searching OEIS?
 
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pbuk said:
Have you tried generating a few terms and searching OEIS?
Thank you! I just coded a python program using my recursion relation (which I convinced myself was correct), and put it into OEIS for various values of N.

I see now that ##f_N(d)## is asking how many partitions of d are there with no term greater than N. Thank you!

The only remaining question is looking for an approximation for large N and an approximation for large d. I read that for the question of how many partitions exist for an integer n, while there is no closed-form expression, Hardy and Ramanujan came up with an approximation for large n. This would intuitively tell me that my variation of the problem would not have a closed-form solution, but there are likely to be good approximations. I'm doing more research on this-- if anyone has seen anything like this before, please let me know!

Thank you,
Isaac

EDIT: Here is my search for N=12. It shows the following general formula, but that formula does not work, assuming I am using it correctly:
$$f_{12}(x)=\prod_{k=1}^{12} \frac{1}{1-x^k}$$

Plugging in values for x did not get me the right terms of the sequence, even just the ones I put in my search.
 
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Isaac0427 said:
Summary:: A currency consists of a $1 bill, a $2 bill, a $3 bill, etc. up until an $N bill. How many ways can one make d dollars with these bills?

I suggest looking up the keywords: "generating functions, making change".
 
The standard _A " operator" maps a Null Hypothesis Ho into a decision set { Do not reject:=1 and reject :=0}. In this sense ( HA)_A , makes no sense. Since H0, HA aren't exhaustive, can we find an alternative operator, _A' , so that ( H_A)_A' makes sense? Isn't Pearson Neyman related to this? Hope I'm making sense. Edit: I was motivated by a superficial similarity of the idea with double transposition of matrices M, with ## (M^{T})^{T}=M##, and just wanted to see if it made sense to talk...

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