Sigma Percentile
JEE Advanced 2009
LEVELJEE Main

Animated Solution for Mathematics - Differentiation: The maximum value of the function on the set is

Enter Numerical Value:

Visualized Solution

The Domain Constraint

  • The domain is defined by the set
  • Rearranging the inequality:

Solving the Inequality

  • Factorizing the quadratic:
  • This implies

The Objective Function

  • Function:
  • We need to find the maximum value of on

Differentiating the Function

  • Differentiating with respect to :

Finding Critical Points

  • Factoring :
  • Critical points are and

Analyzing Monotonicity

  • For , both and
  • Therefore, for all

Conclusion on Function Behavior

  • Conclusion: is strictly increasing on

Identifying the Maximum

  • Since is increasing, the maximum occurs at the right endpoint
  • Maximum value =

Final Computation: Substitution

Final Computation: Execution

Final Answer

  • Final Answer:

The Sigma Insight: Maxima and Minima

Solution Diagram

The Art of Constrained Optimization

A Journey Through the Cubic Landscape
Welcome, fellow traveler of the mathematical realm. Today, we are not just solving a problem; we are embarking on a journey to understand the behavior of a cubic function.
We are given the function , but we are confined to a specific domain defined by the inequality . Let us break this down step by step.

Phase 1

Decoding the Domain (The Fence)
Before we analyze the cubic function, we must determine the allowed interval for . The condition can be rearranged into a standard quadratic inequality:
Factoring this quadratic expression, we obtain:
This inequality holds true when is trapped in the closed interval . This is our narrow corridor on the -axis; we only care about the function's behavior within this range.

Phase 2

The Calculus Lens (The Slope)
Now, let us examine the function . To understand whether the function is climbing or falling, we calculate its derivative with respect to :
To simplify the analysis, we factor out the common term :
Further factoring the quadratic term yields:

Phase 3

The Monotonicity Insight (The Climb)
The slope is zero at the critical points and . However, these points are completely outside our allowed domain of .
Since the function does not change direction within our interval, we test the sign of the derivative. For any , both and are positive, meaning .
Therefore, the function is strictly increasing throughout the entire interval .

Phase 4

The Final Destination
Because the function is strictly increasing, it gains altitude continuously as moves from to . Consequently, the maximum value must occur at the rightmost boundary, .
We substitute into the original function:
Performing the arithmetic:
The maximum value of the function within the given constraint is .

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