Explanation
To find the relationship between the probability of the intersection of two events P(A∩B) and their individual probabilities, we use the fundamental Addition Rule of Probability.
Step 1: The Addition Rule
For any two arbitrary events A and B in a sample space, the probability of their union is given by:
P(A∪B)=P(A)+P(B)−P(A∩B)
Step 2: Rearranging for the Intersection
We can rearrange this formula to solve for the probability of the intersection P(A∩B):
P(A∩B)=P(A)+P(B)−P(A∪B)
Step 3: Applying Axioms of Probability
According to the fundamental axioms of probability, the probability of any event (including the union of two events) can never exceed 1. Therefore:
P(A∪B)≤1
Step 4: Deriving the Inequality
If we multiply the inequality P(A∪B)≤1 by −1, the direction of the inequality flips:
−P(A∪B)≥−1
Now, substitute this back into our rearranged equation from Step 2:
P(A∩B)=P(A)+P(B)−P(A∪B)≥P(A)+P(B)−1
Thus, we arrive at the final inequality:
P(A∩B)≥P(A)+P(B)−1