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JEE Main 2023 (15 Apr Shift 1)
LEVELJEE Main

Animated Solution for Mathematics - Limits, Continuity and Differentiability: Let denote the greatest integer function and , , where is the number of points in where is not continuous and be the number of points in , where is not differentiable. Then is equal to

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Visualized Solution

Understanding the Function

  • Given:
  • Domain:
  • Goal: Find (points of discontinuity in ) and (points of non-differentiability in ).
  • The greatest integer function changes value at integers, so we must split the domain at and .

Case 1:

  • For , the greatest integer function .
  • Substitute into the three expressions:

for

  • We need the maximum of these three functions:
  • Clearly, is the largest for any .
  • So, in the interval .

Case 2:

  • For , the greatest integer function .
  • Substitute into the expressions:

for

  • We need the maximum of these three functions:
  • All three expressions are identical!
  • So, in the interval .

Case 3: At

  • At exactly , the greatest integer function .
  • Substitute and :

  • We need the maximum of these three values:
  • The maximum value is .
  • So, .

Points of Discontinuity ()

  • The function for .
  • At , , so it is continuous.
  • At , .
  • But . Since , is discontinuous at .
  • Therefore, .

Points of Non-Differentiability ()

  • We need to check differentiability in the open interval .
  • In , .
  • This is a linear polynomial, which is smooth and differentiable everywhere.
  • There are no sharp corners, cusps, or breaks strictly between and .
  • Therefore, .

Calculating

  • We found and .
  • Substitute these into the required expression:
  • The final answer is .

The Sigma Insight: Relationship Between Continuity and Differentiability

Solution Diagram

The Architecture of the Staircase

Unlocking the Greatest Integer Function
Welcome, fellow explorer of mathematics. Today, we are going to dissect a problem that, at first glance, might look like a chaotic mess of brackets and maximum functions. We have defined on the interval .
It is easy to feel intimidated by the Greatest Integer Function, , but I want you to view it not as a barrier, but as a staircase. A staircase is predictable; it stays flat for a while, then jumps. Our goal is to map this staircase and find where the path breaks (discontinuity) and where it bends sharply (non-differentiability).

Phase 1

Deconstructing the Beast
The Greatest Integer Function, , is the heartbeat of this problem. It changes its value only at integers. Therefore, our strategy is simple: we must respect the integers.
We will partition our domain into intervals where is constant. This is the secret to taming the beast. We will look at the interval , the interval , and finally, the specific point .

Phase 2

The Journey Through
Imagine you are standing in the interval . In this region, the greatest integer less than or equal to is always . Let us substitute this into our function.
Our expressions become: 1. 2. 3.
Now, we ask ourselves: which of these is the maximum? We are comparing , , and . For any in this range, is clearly the largest.
It is always greater than and . Thus, in the interval , our function simplifies beautifully to:
It is just a straight, smooth line. No drama here.

Phase 3

The Journey Through
Now, let us step onto the next segment: . Here, the value of is . Let us substitute this into our original expressions again:
1. 2. 3.
Look at that! The expressions have converged. They are all identical. The maximum of , , and is, quite simply, .
So, for the entire interval , our function remains . The line continues seamlessly from the previous interval. We have been walking on the same line from all the way to .

Phase 4

The Boundary Trap at
This is where the problem tests your vigilance. We have analyzed the intervals, but what happens at the very edge, at ? At this point, .
Let us plug this into our original expressions: 1. 2. 3.
We are now comparing the values , , and . The maximum is . So, .
Now, let us look at the continuity. As we approached from the left, our function was . As , the limit is .
But the actual value of the function at is . Since the limit () does not equal the function value (), there is a jump discontinuity at . This means .

Phase 5

The Smoothness of the Path
Finally, we look for , the number of points of non-differentiability in the open interval . In this entire open interval, our function was consistently .
This is a linear polynomial. Linear functions are the definition of smoothness; they have a constant slope and no sharp corners. Therefore, there are no points of non-differentiability in . Thus, .

The Final Victory

We have successfully navigated the terrain. We found and . The problem asks us to calculate .
Substituting our values, we get:
See how the complexity dissolved once we broke it down? Mathematics is not about memorizing formulas; it is about breaking down the problem into manageable, logical steps. You have mastered the staircase today. Keep that analytical mindset, and no function will ever be too intimidating again. The final answer is .

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