Animated Solution for Mathematics - Differentiation: Let f(x)=x2+x21 and g(x)=x−x1,x∈R−{−1,0,1}. If h(x)=g(x)f(x), then the local minimum value of h(x) is :
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Visualized Solution
Defining the Objective
Given: f(x)=x2+x21
Given: g(x)=x−x1
Objective: Find local minimum of h(x)=g(x)f(x)
Constructing h(x)
h(x)=x−x1x2+x21
Algebraic Manipulation of Numerator
Focus on numerator: x2+x21
Recall identity: a2+b2=(a−b)2+2ab
Rewriting the Numerator
Let a=x and b=x1
x2+x21=(x−x1)2+2(x)(x1)
x2+x21=(x−x1)2+2
Simplifying h(x)
Substitute back: h(x)=x−x1(x−x1)2+2
The Substitution Method
Let t=x−x1
h(t)=tt2+2
h(t)=t+t2
Finding Critical Points
Differentiate with respect to t:
h′(t)=dtd(t+2t−1)
h′(t)=1−t22
Solving for t
Set h′(t)=0
1−t22=0
t2=2⟹t=2 or t=−2
Second Derivative Test
Find h′′(t) to check concavity.
h′′(t)=dtd(1−2t−2)
h′′(t)=t34
Testing t=2
At t=2:
h′′(2)=(2)34>0
Since h′′>0, t=2 is a point of local minimum.
Testing t=−2
At t=−2:
h′′(−2)=(−2)34<0
Since h′′<0, t=−2 is a point of local maximum.
Calculating the Minimum Value
Substitute t=2 into h(t):
h(2)=2+22
h(2)=2+2=22
Final Conclusion
The local minimum value of h(x) is 22.
Correct option is 22.
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The Sigma Insight: Maxima and Minima
Solution Diagram
Welcome, future engineers. Today, we stand before a classic problem that separates the 'calculators' from the 'thinkers'. We are given the function:
h(x)=x−x1x2+x21
The instinct of a novice is to immediately apply the quotient rule. You might start writing down the derivative of the numerator, then the derivative of the denominator, and suddenly you are drowning in a sea of x4 and x6 terms.
But I want you to pause. Look at the expression. Do you see the symmetry? The numerator is a sum of squares, and the denominator is a difference. They are dancing together, waiting for you to notice their connection. This is the essence of the JEE Advanced mindset: observation before execution.
The Philosophy of Substitution
The first step in our journey is to recognize that x2+x21 and x−x1 are not independent entities. They are intimately linked by the algebraic identity:
(x−x1)2=x2+x21−2
This is the 'Aha!' moment. If we let t=x−x1, then our numerator x2+x21 becomes t2+2.
Suddenly, the entire function h(x) transforms into a beautiful, simple function of t:
h(t)=tt2+2
By splitting the fraction, we get h(t)=t+t2. Look at how the complexity has evaporated. We have moved from a rational function of x to a simple sum of a linear term and a reciprocal term. This is the power of substitution.
The Calculus of Optimization
Now that we have h(t)=t+t2, finding the local minimum becomes a standard exercise in calculus. We need to find the critical points where the slope of the tangent is zero.
We differentiate with respect to t:
h′(t)=dtd(t+2t−1)=1−t22
To find the critical points, we set h′(t)=0, which gives us 1−t22=0, or t2=2. This yields two critical points: t=2 and t=−2.
But which one is the minimum? We cannot simply guess. We must use the second derivative test. We differentiate h′(t) again:
h′′(t)=dtd(1−2t−2)=t34
The Final Victory
Now, let us test our candidates. For t=2, the second derivative is:
h′′(2)=(2)34=224=2
Since 2>0, the function is concave up at this point, confirming that t=2 is indeed a local minimum. Conversely, for t=−2, the second derivative is negative, indicating a local maximum.
We have our winner. We substitute t=2 back into our simplified function:
h(2)=2+22=2+2=22
The local minimum value is 22.
This, my friends, is the elegance of mathematics. We did not need to brute-force our way through a complex derivative. We used insight, substitution, and the fundamental tools of calculus to reveal the truth hidden within the function.
Keep this approach in your toolkit. Whenever you see symmetry, look for the substitution. It will save you time, reduce your errors, and, most importantly, help you appreciate the beauty of the problems you are solving. You are not just solving for x; you are uncovering the structure of the universe, one equation at a time.