Sigma Percentile
JEE Advanced 2005
LEVELJEE Main

Animated Solution for Mathematics - Limits, Continuity and Differentiability: If is continuous and differentiable function and for all , then

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Visualized Solution

Visualizing

  • Given: is continuous and differentiable.
  • Condition: for all .
  • The points lie on the x-axis.

The Limit as

  • Consider the sequence of points .
  • As , the sequence approaches .
  • .

Applying Continuity at

  • The function is given to be continuous everywhere.
  • Therefore, it must be continuous at .
  • By definition of continuity: .

Evaluating

  • We can evaluate the limit along our sequence .
  • .
  • Since for all , .

Defining the Derivative

  • The function is also differentiable.
  • By the first principle of derivatives at :
  • .

Approaching along

  • Just like before, we can choose .
  • As , .
  • .

Substituting Known Values

  • We know from the given condition.
  • We found in the previous steps.
  • Substitute these into the numerator:
  • .

Calculating the Slope

  • The expression is .
  • For any finite , the denominator .
  • Therefore, the fraction is exactly before taking the limit.
  • .

Conclusion and Key Takeaways

  • Final Result: and .
  • Key Insight: A function can have infinitely many roots near the origin without being the zero function everywhere.
  • Example: for and .

The Sigma Insight: Relationship Between Continuity and Differentiability

Solution Diagram

Analyzing the Setup

Imagine you are standing on the -axis, looking at a function that is continuous and differentiable. You are told something peculiar: at every point (where is a positive integer), the function value is exactly zero.
That is, , , , and so on. It feels like the function is playing a game of 'hide and seek' with the -axis, popping up to touch it at infinitely many points.
But what does this tell us about the function at the origin, ? Let us embark on a journey to uncover the truth.

The Infinite Crowd

First, let us visualize the points . As grows larger and larger, the value of gets smaller and smaller.
The sequence of points is marching steadily toward the origin. They are crowding infinitely close to .
This is the crucial observation. We are not just looking at a few points; we are looking at an infinite sequence of roots that accumulate at the origin.

The Continuity Anchor

We are given that is continuous everywhere. This is a powerful piece of information.
Continuity at means that the function value at zero must be equal to the limit of the function as we approach zero from any direction. Mathematically, .
Since we have a sequence of points that approaches zero, we can evaluate the limit along this sequence:
Since we know for all , the limit is simply the limit of zero, which is zero. Thus, we have firmly established that . The function is anchored to the origin.

The Derivative Dance

Now, let us tackle the slope. The problem states that is differentiable. This means the derivative exists.
By the first principle of derivatives, the slope at is defined as:
We need to evaluate this limit as approaches zero. We have the perfect tool: our sequence . As , .
Let us substitute this into our derivative definition:
We already know that and . Substituting these values, the expression becomes:
For any finite , the denominator is a non-zero number. Zero divided by any non-zero number is zero.
Therefore, we are taking the limit of a constant zero sequence. The result is . The function is not just passing through the origin; it is doing so with a perfectly horizontal tangent.

The Counter-Intuitive Reality

It is tempting to think that if a function is zero at so many points, it must be the zero function everywhere. But that is the beauty of calculus!
A function can be zero at infinitely many points and still be non-zero elsewhere. Consider the function for $x eq 0$ and .
This function oscillates between positive and negative values, hitting zero at , yet it remains continuous and differentiable at the origin. This problem teaches us that local behavior at a point can be constrained by a sequence of points, even if the global behavior is complex.

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