The Beauty of the Modulus
Welcome, future engineers! Today, we are going to peel back the layers of a function that might look intimidating at first glance: f(x)=∣x∣(x−sinx).
In the world of JEE Advanced, we don't just solve problems; we investigate them. We look for the hidden symmetry, the underlying structure, and the elegant logic that binds everything together. Let's embark on this journey.
Phase 1
The Surgery of the Modulus
Whenever you see a modulus function, do not panic. Treat it as a surgeon treats a patient—with precision. The modulus ∣x∣ is simply a gatekeeper that splits our function into two distinct worlds:
For
x≥0:
f(x)=x(x−sinx)=x2−xsinx
For
x<0:
f(x)=−x(x−sinx)=−x2+xsinx
By splitting the function, we have removed the ambiguity. We are now ready to analyze the range and the monotonicity of these two pieces.
Phase 2
The Hunt for 'Onto'
To determine if the function is 'onto' (surjective), we must ask: does this function cover every possible value on the y-axis? Since our codomain is R, we need to see if the function spans from −∞ to +∞.
Let's look at the limits. As x→∞, the term x2(1−xsinx) dominates. Since xsinx vanishes to zero, the function behaves like x2, which shoots to +∞.
Conversely, as x→−∞, the function behaves like −x2, which dives to −∞. Because the function is continuous, it must pass through every single value in between. Thus, the range is R, and we have successfully proven the function is onto.
Phase 3
The Derivative and the Proof of One-One
Now, for the final boss: is the function 'one-one' (injective)? A function is one-one if it is strictly monotonic—it must always be climbing or always be falling. We need to check the derivative f′(x).
For
x>0, our derivative is:
f′(x)=dxd(x2−xsinx)=2x−(sinx+xcosx)
This looks complex, but let's use a bit of algebraic magic. We can rewrite
2x as
x+x:
f′(x)=(x−sinx)+(x−xcosx)=(x−sinx)+x(1−cosx)
Look closely at this expression. For x>0, we know that x>sinx, so the first term is positive. We also know that cosx≤1, so (1−cosx)≥0. Since x is positive, the second term is also non-negative, making the sum strictly positive.
When we repeat this logic for x<0, we find the same result: the derivative is strictly positive. This means the function is strictly increasing across the entire real line. A strictly increasing function can never take the same value twice; therefore, it is one-one.
Conclusion
We have proven that our function is both one-one and onto. It is a bijection. It is a perfect mapping.
I hope this journey through the calculus of this function has shown you that math is not just about formulas—it is about the story the numbers tell. Keep practicing, keep questioning, and keep falling in love with the process!