Sigma Percentile
JEE Advanced 1988
LEVELJEE Main

Animated Solution for Mathematics - Differentiation: Investigate for maxima and minima the function

Visualized Solution

Analyzing the Function

  • Given:
  • Goal: Find points of local maxima and minima.
  • Strategy: Differentiate to find critical points and analyze the sign of .

Applying Newton-Leibniz Rule

  • Use the Newton-Leibniz Rule for differentiating under the integral sign:
  • Here, the upper limit is and the lower limit is .

Factoring the Derivative

  • Extract the common factors: and .

Simplifying the Expression

  • Simplify the terms inside the square bracket:
  • Combine like terms:
  • Final factored form:

Identifying Critical Points

  • Set to find the critical points.
  • Equating each factor to zero gives:

Sign Scheme:

  • We use the Wavy Curve Method to find the sign of .
  • For , choose a test value, say .
  • Thus, is positive in .

Sign Scheme:

  • Moving left across .
  • The factor has an even power of .
  • Rule: The sign of the expression does not change when crossing a root with an even power.
  • Thus, remains positive in .

Sign Scheme:

  • Moving left across .
  • The factor has an odd power of .
  • Rule: The sign of the expression changes when crossing a root with an odd power.
  • Thus, becomes negative in .

Sign Scheme:

  • Moving left across .
  • The factor has an odd power of .
  • The sign changes again.
  • Thus, becomes positive in .

Local Maxima at

  • Apply the First Derivative Test at .
  • As increases through , the sign of changes from positive () to negative ().
  • This means the function changes from increasing to decreasing.
  • Therefore, has a Local Maximum at .

Local Minima at

  • Apply the First Derivative Test at .
  • As increases through , the sign of changes from negative () to positive ().
  • This means the function changes from decreasing to increasing.
  • Therefore, has a Local Minimum at .

Point of Inflection at

  • Apply the First Derivative Test at .
  • As increases through , the sign of remains positive ( to ).
  • Since there is no sign change, it is neither a maximum nor a minimum.
  • Therefore, is a Point of Inflection.

The Sigma Insight: Maxima and Minima

Solution Diagram

Analyzing the Setup

We are given the function:
When encountering an integral function of this form, avoid the temptation to integrate the polynomial directly. In JEE Advanced, the objective is to identify the underlying structure of the expression rather than performing brute-force calculation.

The Newton-Leibniz Insight

To determine the maxima and minima, we must find the derivative . By applying the Newton-Leibniz rule, the derivative of an integral with a variable upper limit is simply the integrand evaluated at that limit.
The derivative is:
The integral sign is eliminated, revealing the core polynomial structure of the derivative.

The Art of Factoring

Do not expand the polynomial terms, as this will lead to unnecessary complexity. Instead, identify the common factors, which are and .
Factoring these out yields:
Simplifying the expression inside the brackets:
Thus, the final factored form of the derivative is:

The Wavy Curve Method

To analyze the sign of , we plot the critical points on the number line: , , and .
Starting from the right (), the expression is positive. As we cross , note that the factor has an even power. Consequently, the sign does not change, and the curve touches the axis before remaining positive in the interval .
Next, crossing (which corresponds to the factor with an odd power), the sign changes from positive to negative. Finally, crossing (which corresponds to with an odd power), the sign changes again from negative to positive.

The Conclusion

We interpret the sign changes of to identify the extrema:
1. At , the derivative changes from positive to negative, indicating a local maximum. 2. At , the derivative changes from negative to positive, indicating a local minimum. 3. At , the derivative remains positive on both sides, indicating a point of inflection.
By utilizing these structural insights, you can efficiently solve complex integral function problems without falling into common algebraic traps.

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