The Architecture of Uncertainty
A Probability Journey
Probability is not just about rolling dice or flipping coins; it is the mathematical language we use to navigate the unknown. Today, we are going to dissect a classic JEE Advanced problem that tests your ability to bridge the gap between set theory and conditional logic.
We are given two events, A and B, with P(A)=31, P(B)=51, and their union P(A∪B)=21. Our mission is to calculate the sum P(A∣B′)+P(B∣A′).
Phase 1
Finding the Hidden Overlap
Before we can talk about conditional probabilities, we must understand the relationship between A and B. Imagine a Venn diagram where we have two circles, A and B, partially overlapping.
The Addition Theorem is our most powerful tool here. It states that the probability of the union is the sum of the individual probabilities minus their intersection:
By rearranging this, we can isolate the intersection, which represents the 'shared' reality of both events:
Substituting our known values, we get:
To solve this, we find a common denominator, which is 30. Thus:
P(A∩B)=3010+306−3015=301
This tiny value, 301, is the heart of our problem. Without it, the rest of the puzzle remains locked.
Phase 2
Decoding the Conditional
Now, let us tackle the first part of our objective: P(A∣B′). This notation asks: "What is the probability that A occurs, given that B has not occurred?"
By definition, this is:
The numerator, P(A∩B′), represents the region of A that exists strictly outside of B. Geometrically, this is the total probability of A minus the intersection we just calculated:
P(A∩B′)=P(A)−P(A∩B)=31−301=3010−301=309=103
The denominator, P(B′), is the complement of B, which is 1−P(B)=1−51=54. Putting these together, we find:
P(A∣B′)=4/53/10=103×45=83
Phase 3
Symmetry and Completion
Now, we turn to P(B∣A′). By the same logic of symmetry, this is the probability that B occurs given that A has not occurred:
The numerator is the region of B outside A:
P(B∩A′)=P(B)−P(A∩B)=51−301=306−301=305=61
The denominator is the complement of A:
Thus, the second conditional probability is:
P(B∣A′)=2/31/6=61×23=41
Finally, we sum our two results:
P(A∣B′)+P(B∣A′)=83+41=83+82=85
The elegance of this result is a testament to the consistency of probability theory. We started with three simple values and, through logical deduction, arrived at the final answer of 85.