Another proof using the axioms of probability

Click For Summary

Homework Help Overview

The discussion revolves around proving a statement related to the axioms of probability, specifically addressing the relationship between the probabilities of two events A and B when B is a subset of A.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to use the law of total probability and the axioms of probability to establish that if B is a subset of A, then the probability of B is less than or equal to the probability of A. They also explore the implications of equality in this context.

Discussion Status

Participants are actively engaging with the original poster's reasoning, questioning assumptions about the equality case and discussing examples that illustrate the concepts involved. Some guidance has been provided regarding the interpretation of probabilities in relation to subsets.

Contextual Notes

There is a discussion about the implications of the axioms of probability, particularly regarding the equality case and the nature of proper subsets. The original poster expresses uncertainty about a potential typo in the problem statement.

phosgene
Messages
145
Reaction score
1

Homework Statement



If A and B are events, use the axioms of probability to show that:

if B \subset A, then P(B) \leq P(A)

Homework Equations



Axiom 1: P(n) \geq 0

Axiom 2: P(S)=1

Axiom 3: If A1,A2,... are disjoint sets, then P(\bigcup _{i} A_{i}) = \sum_{i} P(A_{i})

The Attempt at a Solution



I start with using the law of total probability to define the set A:

A= (A \cap B) \cup (A \cap B^{C})

Then I use axiom 3 to get turn it into a probability:

P(A) = P(A \cap B) + P(A \cap B^{C})

Since B \subset A, P(A \cap B) = P(B)

So

P(A) = P(B) + P(A \cap B^{C})

P(B)=P(A) - P(A \cap B^{C})

And as axiom 1 states that a probability must be greater than or equal to 0,

P(B) \leq P(A)

As for proving the equality case, this means that P(A \cap B^{C}) = 0, but then doesn't that just mean that A=B. Since the question states that B is a *proper* subset of A, am I incorrect in thinking that it might be a typo?
 
Last edited:
Physics news on Phys.org
phosgene said:
And as axiom 1 states that a probability must be greater than 0
It says the probability must be greater than or equal to 0.
 
Ok, fixed. But suppose that P(A \cap B^{C}) = 0, doesn't this mean that A=B?
 
Not necessarily. For example, say you have a continuous random variable X that's uniformly distributed on [0,1]. Let A=[0,1] and B=(0,1). Both P(A)=P(B)=1, but A≠B.
 
I see, interesting..so basically, using axiom 1, I will get P(B) \leq P(A), which completes my proof. Thanks :)
 

Similar threads

  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 37 ·
2
Replies
37
Views
8K
Replies
6
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
Replies
2
Views
1K
  • · Replies 4 ·
Replies
4
Views
1K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 7 ·
Replies
7
Views
1K