Sigma Percentile
JEE Main 2022 (29 July Shift 1)
LEVELJEE Main

Animated Solution for Mathematics - Limits, Continuity and Differentiability: The number of points, where the function , , is NOT differentiable, is :

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Visualized Solution

Function Breakdown

  • Given function:
  • We need to find points where is NOT differentiable.

Factorizing the Quadratic

  • Focus on the quadratic term:
  • Factorize it:
  • Rewrite the function:

Identifying Critical Points

  • Potential points of non-differentiability occur where the expressions inside the modulus become zero.
  • Critical points: , , and .

The Modulus Differentiability Rule

  • Key Concept: A function is differentiable at if and only if .
  • This assumes is continuous and differentiable at .

Testing (Setup)

  • Factor out from the entire function:
  • Let

Testing (Evaluation)

  • Differentiability condition at : must be .
  • Evaluate
  • Since , is NOT differentiable at .

Testing

  • At , the only modulus becoming zero is in .
  • Recall that , so .
  • The function is smooth and differentiable everywhere.
  • Thus, is differentiable at .

Testing (Setup)

  • At , the first term is differentiable.
  • Analyze the second term:
  • Let .

Testing (Evaluation)

  • Evaluate at :
  • Since , the second term is not differentiable.
  • Thus, is NOT differentiable at .

Final Conclusion

  • Points of non-differentiability: and .
  • Total number of points = 2.

The Sigma Insight: Differentiability of a Function

Solution Diagram

Analyzing the Setup

When you first look at the function:
it is natural to feel a spike of anxiety. There are modulus bars everywhere!
But in the world of JEE Advanced, intimidation is just a mask for a beautiful, structured reality. Let us peel back the layers of this function together.

The Art of Simplification

The first step in any complex problem is to simplify the landscape. Look at the quadratic term: . This is a classic quadratic that begs to be factorized as .
So, our function becomes:
Notice something? The term is a common factor! By factoring it out, we get:
This is a massive breakthrough. We have transformed a sprawling expression into a product of a simple modulus and a more complex function. Let us call the expression inside the square brackets . Now, our function is simply .

Identifying the Suspects

Where can a function fail to be differentiable? Only where the 'sharp corners' exist. These corners occur where the arguments inside the modulus bars are zero.
Looking at our function, we have three primary suspects: , , and . These are the points where the geometry of the function might break. We need to investigate each one with the precision of a surgeon.

The Golden Rule of Smoothing

Before we test these points, let us recall a powerful tool in our JEE toolkit. For a function , the function is differentiable at if and only if .
Why? Because if , the function effectively 'flattens' the sharp cusp of the modulus, making the transition smooth. If $g(a) eq 0$, the cusp remains, and the derivative does not exist. This is our litmus test.

The Investigation

Let us test our suspects one by one. First, consider . We have our function in the form , where .
To check differentiability at , we evaluate :
Since , which is clearly not zero, the function is NOT differentiable at . The sharp corner survives!
Next, let us look at . Here, the term appears. Many students panic here, thinking the modulus creates a cusp.
But remember your trigonometry! The cosine function is even, meaning . Therefore, . This is a smooth, continuous, and differentiable function. There is no cusp here, and the function is differentiable at .
Finally, let us check . We look at the second term of our original function: . We can rewrite this as . Let .
For the function to be differentiable at , we need . Let us calculate:
Since $h(4) = 3 eq 0$, the function is NOT differentiable at .

The Victory

We have systematically tested our suspects. At , the function fails. At , it passes with flying colors. At , it fails again.
Thus, there are exactly two points of non-differentiability. You see? When you break a problem down into its fundamental components—factorization, critical points, and the Golden Rule—even the most intimidating functions reveal their secrets.

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