Class 12 • mathematics • Chapter 6
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APPLICATION OF DERIVATIVES
True & False Quiz

Rise. Fall. Optimise.

✓True
✗False
25
Questions
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Ch.6
Chapter
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XII
Class
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Why True & False for APPLICATION OF DERIVATIVES?

How this format sharpens your conceptual clarity

🔵 Derivatives model rates of change and optimisation — from cost minimisation to maximising area under constraints.
✅ T/F targets increasing/decreasing tests, and distinguishing local extrema from absolute (global) extrema.
🎯 Trap: f′(c) = 0 does NOT guarantee a maximum or minimum at c — it could be a point of inflection.
📋 Read each statement carefully. Click True or False — instant feedback with explanation appears. Submit anytime; unattempted questions are marked Skipped.
Q 1
If a function is increasing on an interval, then its derivative is positive at every point of that interval.
Q 2
If \(f'(x)>0\) for every \(x\) in an interval, then \(f(x)\) is strictly increasing on that interval.
Q 3
If \(f'(x)<0\) for every \(x\) in an interval, then \(f(x)\) is strictly decreasing on that interval.
Q 4
If \(f'(a)=0\), then \(x=a\) must be a point of local maximum or local minimum.
Q 5
If \(f'(x)\) changes from positive to negative at \(x=a\), then \(f\) has a local maximum at \(x=a\).
Q 6
If \(f'(x)\) changes from negative to positive at \(x=a\), then \(f\) has a local minimum at \(x=a\).
Q 7
A stationary point of a differentiable function is necessarily an extremum.
Q 8
If \(f'(x)\geq 0\) throughout an interval, then \(f\) cannot decrease on that interval.
Q 9
The function \(f(x)=x^2\) is decreasing on \((-\infty,0)\) and increasing on \((0,\infty)\).
Q 10
The function \(f(x)=x^3-3x\) has a local maximum at \(x=-1\) and a local minimum at \(x=1\).
Q 11
If \(f'(a)=0\) and \(f''(a)>0\), then \(f\) has a local maximum at \(x=a\).
Q 12
If \(f'(a)=0\) and \(f''(a)<0\), then \(f\) has a local maximum at \(x=a\).
Q 13
If \(f'(a)=0\) and \(f''(a)=0\), then \(x=a\) is neither a maximum nor a minimum.
Q 14
If a differentiable function has a local extremum at an interior point \(a\), then \(f'(a)=0\).
Q 15
The maximum value of a function on a closed interval can occur only at an interior critical point.
Q 16
To find the absolute maximum and minimum of a continuous function on \([a,b]\), it is sufficient to check only the points where \(f'(x)=0\).
Q 17
The function \(f(x)=x+\dfrac{1}{x}\) is increasing on \((1,\infty)\).
Q 18
If \(f'(x)\) is positive at a single point \(x=a\), then \(f\) is increasing throughout the entire domain.
Q 19
For \(f(x)=x^3-6x^2+9x+1\), the points \(x=1\) and \(x=3\) are critical points.
Q 20
If \(f'(x)\) changes sign from positive to negative at \(x=a\), then \(f(a)\) is necessarily the greatest value of \(f\) over its entire domain.
Q 21
For \(f(x)=x^3-3x^2+1\), \(x=0\) is a local maximum and \(x=2\) is a local minimum.
Q 22
If a function is continuous on \([a,b]\) and differentiable on \((a,b)\), then its absolute maximum and minimum must both occur at interior points.
Q 23
For \(f(x)=x^4-4x^2\), the point \(x=0\) is a local maximum even though \(f'(0)=0\).
Q 24
If \(f'(a)=0\), \(f''(a)=0\), and \(f'''(a)\neq0\), then \(x=a\) cannot be a point of local maximum or local minimum.
Q 25
If \(f'(a)=0\) and the first non-zero derivative of \(f\) at \(a\), after the first derivative, is of even order and is positive, then \(f\) has a local minimum at \(x=a\).
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Key Takeaways — APPLICATION OF DERIVATIVES

Core facts for CBSE Boards & JEE

1
f is increasing on an interval if f′(x) ≥ 0 there, and decreasing if f′(x) ≤ 0 there.
2
f′(c) = 0 is necessary but NOT sufficient for a local extremum — the second derivative test confirms it.
3
At a local maximum, f″(c) < 0; at a local minimum, f″(c) > 0 (second derivative test).
4
The equation of the tangent to y=f(x) at (x₁,y₁) is y−y₁ = f′(x₁)(x−x₁); the normal is perpendicular to it.
5
Rate of change problems use dV/dt, dA/dt etc. via the chain rule — related rates, not a single fixed derivative.
6
A local maximum value can be smaller than a local minimum value elsewhere on the same curve — "local" is not "global".
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NCERT Class 12 Application of Derivatives: True & False
NCERT Class 12 Application of Derivatives: True & False — Complete Notes & Solutions · academia-aeternum.com
NCERT Class 12 Mathematics Chapter 6, Application of Derivatives, introduces students to the practical use of derivatives for studying the behaviour of functions. This chapter explains important concepts such as increasing and decreasing functions, critical points, local maxima and minima, and optimization. These concepts help students understand how the derivative of a function can be used to identify intervals of monotonicity and determine extreme values. The chapter also develops…
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APPLICATION OF DERIVATIVES — Learning Resources

📄 Detailed Notes
🧠 Practice MCQs
📌 Exercise
📝 Exercises
APPLICATION OF DERIVATIVES - Exercise 6.1 APPLICATION OF DERIVATIVES - Exercise 6.2 APPLICATION OF DERIVATIVES - Exercise 6.3 APPLICATION OF DERIVATIVES - Miscellaneous Exercise

Frequently Asked Questions

Application of Derivatives covers increasing and decreasing functions, rate of change, tangents and normals, approximation, maxima and minima, and optimization problems.

True and False questions help students test their understanding of derivative-based concepts, identify misconceptions, and strengthen conceptual accuracy.

If \(f'(x)>0\) throughout an interval, then \(f(x)\) is strictly increasing on that interval.

If \(f'(x)<0\) throughout an interval, then \(f(x)\) is strictly decreasing on that interval.

A critical point is a point in the domain where \(f'(x)=0\) or where \(f'(x)\) does not exist, provided the function itself is defined there.

No. A zero derivative only identifies a stationary point. For example, \(f(x)=x^3\) has \(f'(0)=0\), but \(x=0\) is neither a local maximum nor a local minimum.

If \(f'(x)\) changes from positive to negative as \(x\) passes through \(a\), then \(f(a)\) is a local maximum.

If \(f'(a)=0\) and \(f''(a)>0\), then \(f(a)\) is a local minimum under the second derivative test.

For a continuous function on a closed interval \([a,b]\), an absolute maximum or minimum can occur at an endpoint as well as at an interior critical point.

They provide quick conceptual revision of derivative applications and help students practise monotonicity, critical points, maxima and minima, and related higher-order reasoning.

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