Sigma Percentile
JEE Advanced 1988
LEVELBoard

Animated Solution for Mathematics - Probability: For two given events and is

Select Answer:

* Multiple Correct

Visualized Solution

Visualizing the Events

  • Let and be two events in a sample space .
  • We can represent this using a Venn diagram.

The Intersection of Events

  • The intersection represents the occurrence of both events simultaneously.

The Addition Theorem

  • The fundamental Addition Theorem of Probability states:

Isolating the Intersection

  • Rearranging the addition theorem formula:

Confirming Option (c)

  • The derived formula matches exactly with one of the options.
  • Therefore, Option (c) is correct.

The Upper Bound of Probability

  • The probability of any event cannot exceed .
  • Therefore, for the union of events:

Applying the Upper Bound

  • Substitute into our rearranged formula.
  • We know:

Deriving the Lower Bound for Intersection

  • Since , subtracting it means:
  • Therefore:

Confirming Option (a)

  • This means is not less than .
  • Therefore, Option (a) is correct.

The Lower Bound of Probability

  • The probability of any event must be non-negative.
  • Therefore, for the intersection:
  • And for the union:

Applying the Lower Bound

  • From the addition theorem:
  • Substitute :

Deriving the Upper Bound for Intersection

  • We have:
  • Rearranging the inequality by moving the intersection term:

Confirming Option (b)

  • This means is not greater than .
  • Therefore, Option (b) is correct.

Final Conclusion

  • We have verified three properties of :
  • (a) It is not less than
  • (b) It is not greater than
  • (c) It is equal to

The Sigma Insight: Addition and Multiplication Theorems

Solution Diagram

Visualizing the Probability Space

When you look at a problem involving two events and , stop seeing them as abstract variables. Imagine them as two distinct territories on a map, where the sample space is the entire world.
The intersection represents the shared territory where both events coexist. This is the fundamental region of interest in our analysis.

The Addition Theorem

The bedrock of probability is the Addition Theorem. It defines the relationship between the union and the intersection of two events:
The subtraction of the intersection is necessary because simply adding the probabilities of and counts the shared region twice. To obtain the true total probability of the combined region, we must subtract the overlap exactly once.

The Master Equation

By rearranging the Addition Theorem, we isolate our target variable, the intersection:
This equation serves as our master key. It demonstrates that the probability of the intersection is entirely dependent on the probability of the union.

Establishing the Bounds

In probability theory, every event is governed by the laws of the floor () and the ceiling (). Since , we can derive the lower bound for the intersection:
This profound result indicates that if and are sufficiently large, they are mathematically forced to overlap. The intersection cannot be arbitrarily small.
Conversely, since , we can derive the upper bound for the intersection:
This confirms that the overlap cannot exceed the sum of the individual probabilities.

Conclusion

We have successfully derived the constraints on the intersection using the fundamental axioms of probability. The probability of the intersection is bounded as follows:
JEE Advanced mathematics is not about memorizing formulas; it is about understanding the logical constraints of the universe. By mastering these bounds, you are building a robust mental model of reality.

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