Distributing 5 Objects to 3 Boxes: C(5,3)

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Discussion Overview

The discussion centers on the problem of distributing five distinguishable objects into three indistinguishable boxes. Participants explore different interpretations of the problem, including whether to treat the boxes as distinguishable or indistinguishable, and the implications of this choice on the calculation of possible distributions.

Discussion Character

  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant suggests that the answer is simply C(5,3) due to the indistinguishability of the boxes, questioning if the same logic applies as if the boxes were distinguishable.
  • Another participant agrees with the use of the binomial coefficient C(3,5) but proposes that if the boxes were treated as distinguishable, the result should be divided by 3! to account for the indistinguishability.
  • Multiple objects fitting into a box is confirmed by several participants, with one humorously noting that this would not apply if the objects were very large.
  • A participant challenges the initial reasoning, stating that the problem is better represented by the number of ways to partition 5 into three subsets, possibly empty, and provides a summation formula for this calculation.
  • Another participant lists specific groupings of objects into boxes, calculating a total of 46 possibilities, and expresses uncertainty about a more general formula for the distribution.
  • One participant asserts that the answer is related to the partition number of (5,3) and questions the validity of the previously suggested formula.

Areas of Agreement / Disagreement

Participants do not reach consensus on the correct approach to the problem. There are competing views on whether to use the binomial coefficient C(5,3) or to consider partitioning the objects into subsets, leading to differing interpretations of the problem.

Contextual Notes

Participants express uncertainty regarding the assumptions made about the boxes and the objects, particularly concerning whether the boxes can be empty and how to handle indistinguishability in calculations.

gimpy
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I think i got this answer.

How many ways are there to distribute five distinguishable objects into three indistinguishable boxes?

Wouldn't the answer just be [tex]C(5,3)[/tex] because the boxes are indistinguishable? Or do i treat this question the same as if the boxes were distinguishable?
 
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The binomial coefficient [tex]C_3^5[/tex] is right. You could do it as if the boxes were distinguishable and then divide by the number of sequences of them: 3! = 6. and that's what you would get.
 
Multiple objects can fit in a box, can't they?
 
Unless they are very, very big.
 
Originally posted by Hurkyl
Multiple objects can fit in a box, can't they?

Yes, multiple objects can fit into a box.

I think my answer is correct, isn't it?
 
I don't think it is. I think it's quite a way out. The answer is the same as the number of ways to partition 5 into three (possibly empty?) subsets, which is

[tex]\sum\binom{n}{p}\binom{n}{q}\binom{n}{r}[/tex]

for all p+q+r = 5 (and possibly with the requirement that p,q,r are strictyl positive.

To show that your answer is wrong, I think your reasoning that the number of ways to put 5 distinct objects into 1 box is 5 choose 1, ie 5, when obviously it is 1. Also there are many ways of putting 5 balls into 100 boxes, and 5 choose 100 is define to be 0.
 
There are 5 possible groupings:
0 0 5 - 1
0 1 4 - 5
0 2 3 - 10
1 1 3 - 10
1 2 2 - 20

For a total of 46 possibilities. I don't see a more general formula for this.
 
The answer is the partition number of (5,3) for want of a better term which is what you've worked out, NateG, and does not follow the formula I wrote just there. Anyway, it isn't 5 choose 3. Is
[tex]\sum\binom{n}{p}\binom{n-p}{q}\binom{n-p-q}{r}[/tex]

getting better? I think so.

matt
 
Last edited:

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