Is symmetry necessary for solving triple integrals in probability calculations?

Click For Summary

Homework Help Overview

The discussion revolves around the use of triple integrals in probability calculations, specifically in the context of determining the likelihood that a randomly chosen triangle is approximately equilateral. The original poster expresses uncertainty about the limits of integration and the implications of symmetry in the variables involved.

Discussion Character

  • Exploratory, Assumption checking

Approaches and Questions Raised

  • Participants explore the implications of choosing sides of a triangle uniformly and the constraints of ordering the sides (a ≥ b ≥ c). There is discussion on how this affects the uniform distribution of the variables. Some participants question the correctness of the integral limits based on the triangle inequality.

Discussion Status

Participants are actively engaging with the problem, raising questions about the assumptions made regarding the distribution of the variables and the limits of integration. Some have suggested alternative approaches, such as considering different geometric configurations, but no consensus has been reached on a definitive method or solution.

Contextual Notes

There are concerns about the implications of approaching limits to infinity and how the choice of geometric space (cube vs. parallelepiped) affects the solvability of the problem. The discussion highlights the need for careful consideration of the assumptions underlying the problem setup.

jaumzaum
Messages
433
Reaction score
33
Homework Statement
Consider T to be the set of triangles from R3+.
i.e. T = {(a, b, c) | max(a, b, c)<(a+b+c)/2}
Consider an approximately equilateral triangle to be a triangle in which the major side does not exceed the minor side in 10%. Consider E to be the set of approximately equilateral triangles.
i.e. E = {(a, b, c) | max(a, b, c)<1.1*min(a, b, c)}
What is the chance that a given triangle (i.e. picked from T) is approximately equilateral (i.e. belongs to E)
Relevant Equations
I don't think there are any specific equation to use.
I just started learning triple integrals. I don't know if this is right (I'm only concerned about the limits of the Integral)
Consider the case ## a>=b>=c ##

$$ P = \lim_{M \rightarrow +\infty} \frac { \int_{a=0}^M \int_{b=\frac a {1.1}}^a \int_{c= \frac a {1.1}}^b \, da \, db \, dc} { \int_{a=0}^M \int_{b=0}^a \int_{c=0}^b \, da \, db \, dc} = \frac 1 {121} = 0.00826 $$
 
Physics news on Phys.org
jaumzaum said:
Homework Statement: Consider T to be the set of triangles from R3+.
i.e. T = {(a, b, c) | max(a, b, c)<(a+b+c)/2}
Consider an approximately equilateral triangle to be a triangle in which the major side does not exceed the minor side in 10%. Consider E to be the set of approximately equilateral triangles.
i.e. E = {(a, b, c) | max(a, b, c)<1.1*min(a, b, c)}
What is the chance that a given triangle (i.e. picked from T) is approximately equilateral (i.e. belongs to E)
Homework Equations: I don't think there are any specific equation to use.

I just started learning triple integrals. I don't know if this is right (I'm only concerned about the limits of the Integral)
Consider the case ## a>=b>=c ##

$$ P = \lim_{M \rightarrow +\infty} \frac { \int_{a=0}^M \int_{b=\frac a {1.1}}^a \int_{c= \frac a {1.1}}^b \, da \, db \, dc} { \int_{a=0}^M \int_{b=0}^a \int_{c=0}^b \, da \, db \, dc} = \frac 1 {121} = 0.00826 $$

How do you ensure that ##a > b > c##? One way is to choose the three sides uniformly at random on some range (##(0, M)## in your notation) and simply reject the choice if they don't come in descending order. Then you can argue that the probability they form a triangle and the probability they form a nearly equilateral triangle are the same for your restricted sample space as for the full sample space, including all the ones you rejected. So far, so good.

But, now ##a, b, c## are no longer distibuted uniformly on the given intervals. ##a## is more likely to be large ( close to ##M##) than small (close to ##0##).

So, I don't think you can have the constraint that ##a > b >c## and retain the uniform distribution.

Second point (again assuming ##a > b > c##): for the numbers to form a triangle, you have ##c > a-b##. The limits on the integral in the denominator for ##c##, therefore, are not correct.

A very tricky problem!
 
PeroK said:
How do you ensure that ##a > b > c##? One way is to choose the three sides uniformly at random on some range (##(0, M)## in your notation) and simply reject the choice if they don't come in descending order. Then you can argue that the probability they form a triangle and the probability they form a nearly equilateral triangle are the same for your restricted sample space as for the full sample space, including all the ones you rejected. So far, so good.

But, now ##a, b, c## are no longer distibuted uniformly on the given intervals. ##a## is more likely to be large ( close to ##M##) than small (close to ##0##).

So, I don't think you can have the constraint that ##a > b >c## and retain the uniform distribution.

I thought about this when I first tried to answer the problem.
Let's not consider that a>=b>=c, but any triple (a, b, c) instead.
As we have 6 different permutations of (a, b, c), and independently of a, b or c being the major number the numerator would be the same. So if we assume (a, b, c) belongs to (0, M)^3, the numerator would be 6 times what we first calculated. The denominator would also be 6 times, and so the fraction would be the same.

The problem with that (and it was one of my doubts) is that we considered (a, b, c) belonging to (0, M)^3 (a cube), with M approaching infinity. But we could also consider (a, b, c) belonging to (0, M) x (0, N) x (0, O) (a parallelepiped).
That way we would get a non-solvable limit.

Second point (again assuming ##a > b > c##): for the numbers to form a triangle, you have ##c > a-b##. The limits on the integral in the denominator for ##c##, therefore, are not correct.

You are right! I will change it.
 
  • Like
Likes   Reactions: PeroK
$$ P = \lim_{M \rightarrow +\infty} \frac { \int_{a=0}^M \int_{b=\frac a {1.1}}^a \int_{c= \frac a {1.1}}^b \, da \, db \, dc} { \int_{a=0}^M \int_{b=a/2}^a \int_{c=a-b}^b \, da \, db \, dc} = \frac 2 {121} = 0.01653 $$
 
  • Like
Likes   Reactions: PeroK
jaumzaum said:
The problem with that (and it was one of my doubts) is that we considered (a, b, c) belonging to (0, M)^3 (a cube), with M approaching infinity. But we could also consider (a, b, c) belonging to (0, M) x (0, N) x (0, O) (a parallelepiped).
That way we would get a non-solvable limit.

These problems are always going to depend on how you choose the numbers. You could use spherical coordinates, for example, and get an entirely different answer.

Logically you require symmetry of ##a, b, c##, as you have done.
 

Similar threads

Replies
3
Views
2K
  • · Replies 5 ·
Replies
5
Views
3K
Replies
15
Views
2K
Replies
6
Views
3K
  • · Replies 16 ·
Replies
16
Views
3K
Replies
9
Views
2K
Replies
12
Views
5K
Replies
10
Views
2K
  • · Replies 14 ·
Replies
14
Views
3K
Replies
12
Views
2K