Analyzing the Setup
We are given the function:
f(x)=∫1x[2(t−1)(t−2)3+3(t−1)2(t−2)2]dt
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 f′(x). 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:
f′(x)=2(x−1)(x−2)3+3(x−1)2(x−2)2
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 (x−1) and (x−2)2.
Factoring these out yields:
f′(x)=(x−1)(x−2)2[2(x−2)+3(x−1)]
Simplifying the expression inside the brackets:
Thus, the final factored form of the derivative is:
The Wavy Curve Method
To analyze the sign of f′(x), we plot the critical points on the number line: x=1, x=7/5, and x=2.
Starting from the right (x>2), the expression is positive. As we cross x=2, note that the factor (x−2)2 has an even power. Consequently, the sign does not change, and the curve touches the axis before remaining positive in the interval (7/5,2).
Next, crossing x=7/5 (which corresponds to the factor (5x−7) with an odd power), the sign changes from positive to negative. Finally, crossing x=1 (which corresponds to (x−1) with an odd power), the sign changes again from negative to positive.
The Conclusion
We interpret the sign changes of f′(x) to identify the extrema:
1. At x=1, the derivative changes from positive to negative, indicating a local maximum.
2. At x=7/5, the derivative changes from negative to positive, indicating a local minimum.
3. At x=2, 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.