Analyzing the Setup
Welcome, future engineers. Today, we are peeling back the layers of probability to see how events interact in the abstract space of outcomes. We are given two independent events, A and B.
Independence is a powerful concept; it tells us that the occurrence of
A gives us zero information about the occurrence of
B. Mathematically, this is our golden key:
P(A∩B)=P(A)P(B)
Let us define our variables to make the battlefield clear. Let P(A)=x and P(B)=y. Consequently, the intersection is xy.
Visualizing the Symmetric Difference
Now, consider event C, where exactly one of A or B occurs. Imagine a Venn diagram; we want the parts of the circles that do not overlap.
This is the symmetric difference. If we take the entire union
P(A∪B) and subtract the intersection
P(A∩B), we are left with exactly the regions we want:
P(C)=P(A∪B)−P(A∩B)
Using our variables, we know
P(A∪B)=x+y−xy. Thus, the expression for
P(C) becomes:
P(C)=(x+y−xy)−xy=x+y−2xy
The Power of De Morgan's Law
Now, look at the right-hand side (RHS) of our inequality: P(A∪B)P(Aˉ∩Bˉ). That second term, P(Aˉ∩Bˉ), can be simplified using De Morgan's Law.
De Morgan's Law tells us that
Aˉ∩Bˉ=A∪B. Since the probability of the complement is
1 minus the probability of the event, we have:
P(Aˉ∩Bˉ)=1−P(A∪B)
Let us simplify our notation by setting
z=P(A∪B). Now, the right-hand side becomes:
RHS=z(1−z)=z−z2
The Difference Method
A Strategy for Victory
We need to prove P(C)≥P(A∪B)P(Aˉ∩Bˉ). In the world of inequalities, the 'Difference Method' is our best friend.
We define a new function
D=P(C)−RHS. If we can show
D≥0, we have won. Substituting our expressions:
D=(x+y−2xy)−(z−z2)
Since
z=x+y−xy, we can substitute
x+y=z+xy into the expression for
D:
D=(z+xy−2xy)−(z−z2)
D=(z−xy)−(z−z2)
Watch closely as the
z terms cancel out. We are left with:
D=z2−xy
The Final Insight
The entire problem has collapsed into a single, elegant requirement: prove z2≥xy.
Remember that z=P(A∪B). Since A⊆(A∪B) and B⊆(A∪B), it must be true that P(A)≤P(A∪B) and P(B)≤P(A∪B). This gives us x≤z and y≤z.
Since probabilities are non-negative, we can multiply these two inequalities:
x⋅y≤z⋅z⇒xy≤z2
This is the core of the proof. We have shown that z2−xy≥0, which confirms that P(C)≥P(A∪B)P(Aˉ∩Bˉ). You have navigated the logic and arrived at the truth.