Sigma Percentile
JEE Advanced 1981
LEVELJEE Main

Animated Solution for Mathematics - Differentiation: For all in , let the second derivative of a function exist and satisfy . If , then show that for all in .

Visualized Solution

Visualizing the Boundary Conditions

  • Given: is defined on and exists.
  • Constraint 1: for all .
  • Constraint 2: .
  • Objective: Prove that for all .

Applying Rolle's Theorem

  • Since and is differentiable, apply Rolle's Theorem.
  • There exists some such that .

Choosing an Arbitrary Point

  • We need to find the slope at any arbitrary point .
  • Let's pick a random point .

Applying LMVT to the Derivative

  • Consider the function on the interval between and .
  • Apply Lagrange Mean Value Theorem (LMVT) to .

The LMVT Equation

  • By LMVT, there exists between and such that:

Substituting the Known Value

  • Substitute into the LMVT equation:

Rearranging the Equation

  • Rearrange to isolate :

Taking the Absolute Value

  • Take the absolute value on both sides:

Analyzing the Bounds

  • From the problem statement:
  • Since and , the maximum distance is .

Final Conclusion

  • Combining the inequalities:
  • Final Result: for all .

The Sigma Insight: Mean Value Theorems

Solution Diagram

Analyzing the Setup

Imagine you are standing on a gentle, rolling hill. You start at point and end at point , and the problem states that you are at the exact same elevation at both ends.
This is the physical reality of our function where . This condition serves as the foundation for our exploration.

The Rolle's Theorem Spark

When a function starts and ends at the same height, it must have turned around somewhere. If you climb a hill and then descend to the same level, there must be a peak or a valley where your path is perfectly flat for an instant.
This is the intuitive heart of Rolle's Theorem. Since our function is continuous and differentiable, there must exist at least one point in the interval where the slope is zero.
Mathematically, we express this as:
This point acts as our anchor, providing a reference point amidst the variables.

The LMVT Bridge

To understand the slope at any arbitrary point , we connect it to our known slope at using the Lagrange Mean Value Theorem (LMVT). We apply this theorem not to , but to the derivative function .
By applying LMVT to on the interval between and , we analyze the rate of change of the slope itself. The theorem guarantees an intermediate point between and such that:

The Elegance of Substitution

This equation is the key to the derivation. Substituting the known value into our LMVT equation yields:
This simplifies beautifully to:
We have now expressed the first derivative as the product of the second derivative and the distance .

The Final Bound

The problem provides the constraint for all . This implies that for any , the magnitude is strictly less than .
Furthermore, since both and reside in the interval , the distance must also be strictly less than . Taking the absolute value of our derived equation, we obtain:
Since both factors on the right side are strictly less than , their product must also be strictly less than . Thus, we conclude:
This result demonstrates how constraints on the curvature of a function dictate the limits of its slope.

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