Sigma Percentile
JEE Advanced 2001
LEVELJEE Main

Animated Solution for Mathematics - Limits, Continuity and Differentiability: Which of the following functions is differentiable at ?

Select Answer:

Visualized Solution

Visualizing Differentiability at

  • Objective: Identify which of the four given functions is differentiable at .
  • Geometric Meaning: A function is differentiable at a point if its graph is smooth (no sharp corners, cusps, or breaks) at that point.
  • Mathematical Condition: The Left-Hand Derivative (LHD) must equal the Right-Hand Derivative (RHD) and both must be finite: , where .

Simplifying the Term

  • Let's analyze the term present in Options 1 and 2.
  • Recall the property of the cosine function: it is an even function, meaning .
  • Therefore, whether is positive or negative, for all .
  • Since is differentiable everywhere, is perfectly differentiable at .

Analyzing Option 1:

  • We can rewrite Option 1 as: .
  • We know is differentiable at .
  • However, the absolute value function has a sharp corner at , making it non-differentiable at .
  • Theorem: The sum of a differentiable function and a non-differentiable function is always non-differentiable.

Analyzing Option 2:

  • Similarly, rewrite Option 2 as: .
  • is differentiable at , but is non-differentiable at .
  • By the same theorem: .
  • Therefore, Option 2 is also non-differentiable at .

Testing Option 3: for

  • Let .
  • For , , so the function becomes: .
  • Differentiating with respect to : .
  • The Right-Hand Derivative (RHD) at is: .

Testing Option 3: for

  • For , , so the function becomes: .
  • Differentiating with respect to : .
  • The Left-Hand Derivative (LHD) at is: .
  • Since (), Option 3 is not differentiable at .

Testing Option 4: for

  • Let .
  • For , , so the function becomes: .
  • Differentiating with respect to : .
  • The Right-Hand Derivative (RHD) at is: .

Testing Option 4: for

  • For , , so the function becomes: .
  • Differentiating with respect to : .
  • The Left-Hand Derivative (LHD) at is: .
  • Since , the function is differentiable at .

Deep Intuition: Why did Option 4 become smooth?

  • Let's look at the Taylor series expansion of near :
  • For :
  • For :
  • The linear terms cancel out, leaving only cubic and higher-order terms, which are naturally smooth at .

Final Conclusion

  • Option 1: Non-differentiable (sharp corner at ).
  • Option 2: Non-differentiable (sharp corner at ).
  • Option 3: Non-differentiable (sharp corner at ).
  • Option 4: Differentiable (smooth flat tangent at ).
  • Correct Option: 4 (or ).

The Sigma Insight: Differentiability of a Function

Solution Diagram

Analyzing the Concept of Differentiability

When we ask if a function is differentiable at a point, we are essentially asking: "Is this path smooth?" Imagine driving a car along a road defined by a function. If the road has a sharp, sudden turn—a cusp or a corner—you would have to stop instantly to change direction. That is non-differentiability.
Mathematically, this means the slope from the left (the Left-Hand Derivative, or ) must perfectly match the slope from the right (the Right-Hand Derivative, or ). If they do not match, the function is not differentiable.

The Cosine Trap

Let us look at the options involving the term . Many students panic when they see the absolute value sign, fearing a sharp corner. However, the cosine function is an even function, meaning .
Because of this symmetry, the absolute value sign is essentially invisible. Since is a smooth, oscillating wave, is perfectly differentiable everywhere.
However, when we add or subtract from it, we combine a smooth function with a sharp one. A theorem in calculus states that the sum or difference of a differentiable function and a non-differentiable function is always non-differentiable. Thus, options involving are sharp at the origin and are eliminated.

The Sine Struggle

Now, we turn our attention to options involving . Unlike cosine, sine is an odd function, so is not simply . We must use the piecewise definition.
Let us analyze the function . For , the function is . The derivative is:
At , the is:
Now, for , the function is . The derivative is:
At , the is:
Because the equals the (both are zero), the function is perfectly smooth at .

The Taylor Series Revelation

Why did the subtraction work so perfectly? Let us look at the Taylor series expansion of near :
When we calculate , we get:
The linear term —the very term that causes the sharp corner in —is completely cancelled out. We are left with a cubic term, which is incredibly smooth.
This is the beauty of mathematics: when two "sharp" functions interact in just the right way, they can cancel each other's flaws to create something perfectly smooth. Option 4 is our winner.

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