Sigma Percentile
JEE Advanced 2012
LEVELJEE Main

Animated Solution for Mathematics - Limits, Continuity and Differentiability: Let then is

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Visualized Solution

Analyzing the Function

  • Given function: for , and .
  • We need to check its differentiability at and .
  • Notice how the function oscillates between the envelopes and .

Differentiability at : First Principle

  • To check differentiability at , we must use the first principle of derivatives.
  • Formula:

Substituting Values into the Limit

  • Substitute and .

Simplifying the Limit Expression

  • Cancel one from the numerator and denominator.

Bounding the Cosine Function

  • The term oscillates infinitely as .
  • However, the cosine function is always bounded: .

Applying the Squeeze Theorem

  • Multiply the inequality by : .
  • As , both and .
  • By the Squeeze Theorem, .

Conclusion for

  • Since the limit exists and equals , .
  • Therefore, is differentiable at .
  • Geometrically, the tangent at is the horizontal line .

Shifting Focus to

  • Now we need to check differentiability at .
  • At , the function is defined by the standard rule .

Differentiability at : Standard Rules

  • For , is the product of and .
  • Both and are differentiable at .
  • We can directly use the Product Rule and Chain Rule to find .

Applying the Product Rule

  • Product Rule:

Executing the Derivatives

  • By Chain Rule:

Simplifying the Derivative

  • Substitute back:
  • Cancel :

Evaluating

  • To find the derivative at , substitute into .

Final Calculation for

  • We know and .

Final Conclusion

  • is differentiable at with .
  • is differentiable at with .
  • Final Answer: The function is differentiable both at and at .

The Sigma Insight: Differentiability of a Function

Solution Diagram

The Dance of the Piecewise Function

Welcome, fellow explorers of calculus. Today, we are diving into a problem that perfectly illustrates the difference between "smooth" behavior and the subtle, hidden truths of limits.
We are examining the function for $x eq 0$, with . Our goal is to determine if this function is differentiable at two very different points: the origin () and a point in the wild ().

Phase 1

The Origin and the First Principle
When we stand at , we are at a boundary. The function is defined by a specific rule at this point, but by a completely different algebraic expression everywhere else.
Because of this, we cannot simply take the derivative of the expression and plug in . Instead, we must return to the bedrock of calculus: the First Principle of Derivatives.
The definition of the derivative at is given by the limit:
Substituting our function, we get:
Simplifying this, we find ourselves staring at the limit:

Phase 2

The Squeeze Theorem to the Rescue
This is where the problem gets thrilling. As approaches , the term explodes toward infinity. The cosine of an infinite angle oscillates wildly between and .
If you were to graph this, you would see the function frantically bouncing between the parabolic envelopes and . Does this mean the derivative doesn't exist? Not necessarily!
We know that for any value of :
If we multiply this entire inequality by , we get:
As approaches , both and shrink to . By the Squeeze Theorem, the expression trapped in the middle is forced to .
Thus, . The function is differentiable at the origin, and its tangent is a flat, horizontal line!

Phase 3

The Victory Lap at
Now that we have conquered the origin, feels like a walk in the park. We are far from the piecewise boundary, so we can use our standard toolkit.
Our function is a product of two functions: and . We use the Product Rule: .
The derivative of is . For the derivative of , we use the Chain Rule:
Putting it all together, we get:
The terms cancel out, leaving:
Evaluating this at :
Since and , the first term vanishes, and we are left with . The function is perfectly differentiable here as well.

Conclusion

We have successfully navigated the treacherous waters of the origin and the smooth terrain of . We found that the function is differentiable at both points.
This problem is a beautiful reminder that in calculus, even when things look chaotic, there is often a rigorous, elegant structure waiting to be revealed if you just apply the right tools.

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