Sigma Percentile
JEE Main 2021 (22 July Shift 1)
LEVELJEE Advanced

Animated Solution for Mathematics - Limits, Continuity and Differentiability: Let be a function defined as . Let be given by . If and denote the number of points in where is not continuous and not differentiable, respectively, then is equal to ____.

Enter Numerical Value:

Visualized Solution

Understanding

  • Given:
  • The graph of is a triangle with vertices at , , and .

Continuity of

  • The graph of has no breaks or jumps.
  • Therefore, is continuous for all .

Continuity of

  • Function
  • Shifting a continuous function horizontally preserves continuity.
  • The difference of two continuous functions is continuous.
  • Therefore, number of discontinuous points, .

Non-differentiability of

  • A function is non-differentiable at sharp corners.
  • For , sharp corners occur at .

Points for

  • shifts the graph left by units.
  • Sharp corners shift from to .

Points for

  • shifts the graph right by units.
  • Sharp corners shift from to .

Potential Points for

  • can only be non-differentiable where its components are.
  • Potential points: .

Visualizing

  • For , .
  • For , .

Checking (LHD)

  • For , .
  • .
  • Left Hand Derivative (LHD) .

Checking (RHD)

  • For , .
  • .
  • Right Hand Derivative (RHD) .

Differentiability at

  • Since , is differentiable at .
  • The graph is a straight line from to .

Final Calculation

  • Points of non-differentiability for are .
  • Thus, .
  • Given , the final sum is .

The Sigma Insight: Relationship Between Continuity and Differentiability

Solution Diagram

The Geometry of the Pulse

Imagine you are standing on a vast, flat plain, and suddenly, a perfectly symmetric triangular mountain rises from the ground. This is the visual soul of our function:
It peaks at when and gently slopes down to touch the x-axis at and .
It is a beautiful, continuous shape, but it hides a secret: those sharp peaks and valleys at are where the derivative—the measure of the slope—refuses to exist. In the world of calculus, these are our points of non-differentiability.

The Dance of the Shifts

Now, we introduce a new player: . Think of this as a choreographed dance.
is our original triangular pulse shifted units to the left, while is the same pulse shifted units to the right. We are subtracting one from the other.
Because is continuous everywhere, shifting it does not break it. Since the difference of two continuous functions is always continuous, we can confidently state that has no points of discontinuity. Our first variable, , is firmly .

The Differentiability Hunt

This is where the plot thickens. We know that can only be non-differentiable where its components, or , are non-differentiable.
Let's track the "sharp corners." The original corners were at .
Shifting left by units moves these corners to . Shifting it right by units moves them to . Our "suspect list" for non-differentiability is the union of these sets: .

The Revelation

Many students would stop here and count five points. But in JEE Advanced, we must be precise. Let's look at .
Is it truly a sharp corner for ? To find out, we calculate the slopes on either side.
For just to the left of (in the interval ), behaves like , which simplifies to a linear expression with slope . For just to the right of (in the interval ), behaves like , which also simplifies to a linear expression with slope .
Because the Left-Hand Derivative (LHD) equals the Right-Hand Derivative (RHD), the function is actually smooth at . The sharp corners of the individual pulses have perfectly cancelled each other out, creating a straight line passing through the origin.

The Final Tally

With cleared of suspicion, we are left with the remaining points: . These are the true locations where the slope changes abruptly.
Thus, the number of points of non-differentiability, , is .
Since , our final answer is:
You have successfully navigated the trap, visualized the geometry, and arrived at the truth. Keep this intuition close; it is the key to mastering the most challenging problems in calculus.

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