Animated Solution for Mathematics - Limits, Continuity and Differentiability: If f(x)=x(x−x+1), then
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Visualized Solution
Analyzing the Function
Given function: f(x)=x(x−x+1)
Notice the square root terms: x and x+1.
For the function to be real-valued, we must have x≥0.
Continuity at x=0
Let's check the value at the boundary x=0.
f(0)=0(0−0+1)=0
The right-hand limit as x→0+ is also 0.
Thus, f(x) is continuous at x=0.
Differentiability at a Boundary Point
To check differentiability at x=0, we only need to check the Right-Hand Derivative (RHD).
Why? Because the function does not exist for x<0.
We will use the first principle of derivatives.
The First Principle Formula
The Right-Hand Derivative at x=0 is given by:
f′(0+)=limh→0+hf(0+h)−f(0)
Here, h is a very small positive number.
Substituting the Function Values
We already know f(0)=0.
For f(0+h), we substitute x=h into the function:
f(h)=h(h−h+1)
Setting Up the Limit
Substituting these into the limit expression:
f′(0+)=limh→0+hh(h−h+1)−0
Notice the h in the numerator and denominator.
Simplifying the Expression
Since h→0+ but h=0, we can cancel h:
f′(0+)=limh→0+(h−h+1)
The expression is now much simpler to evaluate.
Evaluating the Limit
Now, apply the limit by substituting h=0:
f′(0+)=0−0+1
f′(0+)=0−1
f′(0+)=−1
Geometric Interpretation
The Right-Hand Derivative is −1.
This means the slope of the tangent to the curve at x=0 is −1.
Since the derivative exists and is finite, the function is differentiable at x=0.
Final Conclusion
The function f(x) is continuous at x=0.
The function f(x) is differentiable at x=0.
Correct Option: f(x) is differentiable at x=0
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The Sigma Insight: Differentiability of a Function
Solution Diagram
The Art of Taming Singularities
A Journey into Differentiability at the Boundary
Welcome, fellow traveler of the mathematical landscape. Today, we are going to dissect a problem that often trips up even the most seasoned JEE aspirants.
We are looking at the function f(x)=x(x−x+1). At first glance, it looks like a standard calculus problem, but it hides a beautiful lesson about the nature of boundaries and the 'taming' power of algebra.
Phase 1
Respecting the Domain
Before we even touch a derivative, we must respect the domain. The presence of x acts like a gatekeeper. It tells us that x cannot be negative.
Therefore, our function lives in the world of x≥0. This is crucial because it changes the definition of differentiability.
We are not looking at an interior point where we can approach from both sides; we are standing at the very edge of the cliff—the boundary point x=0.
Phase 2
The Boundary Logic
Many students panic here, asking, 'What about the Left-Hand Derivative?' But remember, the function simply does not exist for x<0.
In the realm of real analysis, for a function defined on a closed interval like [0,∞), we only need the Right-Hand Derivative (RHD) to exist for the function to be differentiable at that endpoint.
We are looking for the slope of the tangent as we move away from the origin into the positive territory.
Phase 3
The First Principle
Let us invoke the First Principle of Derivatives. It is the heartbeat of calculus. We want to find the slope at x=0, which is defined as:
f′(0+)=h→0+limhf(0+h)−f(0)
We know f(0)=0. Now, let us substitute h into our function. Our expression becomes f(h)=h(h−h+1).
Plugging this into our limit, we get:
f′(0+)=h→0+limhh(h−h+1)−0
Phase 4
The Algebraic Taming
Here comes the magic. Look at the h in the numerator and the h in the denominator.
Because we are taking a limit as h→0+, we know h is not exactly zero. This allows us to perform the most satisfying cancellation in algebra.
The h terms vanish, leaving us with a clean, manageable expression:
f′(0+)=h→0+lim(h−h+1)
Now, we simply evaluate the limit by letting h approach zero. The first term, h, becomes 0=0. The second term, h+1, becomes 0+1=1.
Thus, our result is 0−1=−1.
The Final Revelation
We have arrived at the answer: the Right-Hand Derivative is −1.
Geometrically, this tells us that at the origin, the curve has a well-defined tangent with a slope of −1. The function is not only continuous but perfectly differentiable at the boundary.
This problem teaches us that even when individual components of a function seem problematic, the interaction between them—in this case, the multiplication by x—can create a smooth, differentiable path. Keep this in mind: never judge a function by its parts; always look at the whole.