The Elegance of the Element-Wise Perspective
Welcome, future engineer! Today, we are going to dismantle a beautiful problem in set theory and probability. It is the kind of problem that looks intimidating at first glance—a power set, an ordered pair, a disjoint condition—but once you peel back the layers, you will find a core of pure, crystalline logic.
Phase 1
The Universe of Sets
Imagine you have a set S containing five distinct elements: S={x1,x2,x3,x4,x5}. The power set P(S) is the collection of all possible subsets of S.
For each element, we have a binary choice: it is either in a subset or it is not. With five elements, each having two choices, the total number of subsets is 25=32.
We are picking an ordered pair (A,B) from P(S)×P(S). Since there are 32 choices for A and 32 choices for B, our total sample space size is:
Phase 2
The Disjoint Constraint
The event E requires that A∩B=∅. This is the heart of the problem. If you try to list all pairs (A,B) that satisfy this, you will be counting until the next JEE exam!
Instead, let us shift our perspective. Let us stop looking at the sets A and B as monolithic entities and start looking at the individual elements.
Imagine each element xi as a traveler. In a standard Venn diagram, an element has four possible destinations: inside A only, inside B only, inside both A and B, or outside both.
The condition A∩B=∅ acts like a security guard at the intersection region. It forbids any element from entering the 'both' zone. Each element now has exactly three valid destinations: it can join A, it can join B, or it can stay outside both.
Phase 3
The Power of Independence
This is where the magic happens. Since the placement of each element is independent of the others, we can simply multiply the number of choices for each element.
We have five elements, and each has three choices. Therefore, the total number of favorable outcomes is:
This is the number of ways to form a pair (A,B) such that they are disjoint. It is elegant, it is fast, and it is mathematically sound.
Phase 4
The Final Comparison
Now, we bring it all together. The probability P(E) is the ratio of favorable outcomes to total outcomes:
The problem states that this probability is equal to 2q3p. By comparing our result, we immediately see that p=5 and q=10.
The final step is to calculate p+q. Adding these together, we get:
And there you have it! We have navigated the complexities of set theory and arrived at the answer with clarity and confidence. The final result is 15.