In short: Application of Derivatives (Chapter 6) carries 5 marks in the CBSE Class 12 Maths board exam. It covers rate of change of quantities, increasing and decreasing functions, tangent and normal to a curve, maxima and minima using first and second derivative tests, and approximations. You will learn every concept, formula, and solving approach to score full marks in what is arguably the most practical chapter in the Maths syllabus — the chapter where calculus meets real-world problems.
Introduction — Where Differentiation Meets the Real World
Application of Derivatives belongs to Unit III (Calculus) of the CBSE Class 12 Maths syllabus. The entire Calculus unit carries 35 marks out of 80, and Chapter 6 contributes approximately 5 marks. This chapter builds directly on the differentiation skills from Chapter 5 (Continuity and Differentiability). Every problem here requires you to first differentiate, then interpret the result — whether it is finding the slope of a tangent, identifying where a function increases, or locating the maximum/minimum value. The question types are highly predictable, with maxima-minima word problems being the most popular 5-mark question. For the complete marks breakdown, see the CBSE Class 12 Maths chapter-wise marks weightage.
Core Concepts, Formulas & Memory Tricks
Rate of Change of Quantities
If a quantity y depends on x, the rate of change of y with respect to x is dy/dx.
If both x and y depend on time t: dy/dx = (dy/dt) ÷ (dx/dt), provided dx/dt ≠ 0
Common board exam scenarios:
- Rate of change of area of a circle with respect to radius: dA/dr = 2πr
- Rate of change of volume of a sphere: dV/dr = 4πr²
- Rate at which area changes when radius changes with time: dA/dt = (dA/dr)(dr/dt)
Memory trick: Rate of change = derivative. If the question says "at what rate is X changing when Y is Z," set up the derivative and substitute the given values.
Increasing and Decreasing Functions
A function f(x) is:
- Strictly increasing on (a,b) if f'(x) > 0 for all x in (a,b)
- Strictly decreasing on (a,b) if f'(x) < 0 for all x in (a,b)
- Neither at points where f'(x) = 0 (these are critical points)
How to find intervals of increase/decrease:
- Find f'(x)
- Set f'(x) = 0 to find critical points
- Test the sign of f'(x) in each interval created by the critical points
- f'(x) > 0 → increasing; f'(x) < 0 → decreasing
Memory trick — "Positive slope = going up, negative slope = going down": Just like walking on a hill — positive derivative means uphill (increasing), negative means downhill (decreasing).
Tangent and Normal to a Curve
Slope of tangent to y = f(x) at point (x₁, y₁): m = f'(x₁)
Equation of tangent: y - y₁ = f'(x₁)(x - x₁)
Slope of normal: m_n = -1/f'(x₁) (perpendicular to tangent)
Equation of normal: y - y₁ = [-1/f'(x₁)](x - x₁)
Special cases:
- If f'(x₁) = 0: tangent is horizontal (y = y₁), normal is vertical (x = x₁)
- If f'(x₁) → ∞: tangent is vertical, normal is horizontal
Memory trick: "Tangent touches, normal is perpendicular." Tangent slope = derivative. Normal slope = negative reciprocal.
Approximations
If y = f(x), then for a small change Δx:
Δy ≈ f'(x) × Δx (approximate change in y)
f(x + Δx) ≈ f(x) + f'(x) × Δx (approximate value of function)
Example: Approximate √36.6 Let f(x) = √x, x = 36, Δx = 0.6 f'(x) = 1/(2√x) = 1/(2×6) = 1/12 √36.6 ≈ √36 + (1/12)(0.6) = 6 + 0.05 = 6.05
Maxima and Minima
Critical points: Points where f'(x) = 0 or f'(x) does not exist.
Local maximum at x = c: f changes from increasing to decreasing at c. Local minimum at x = c: f changes from decreasing to increasing at c.
First Derivative Test
- Find f'(x) and set f'(x) = 0 to get critical points
- Check the sign of f'(x) on either side of each critical point:
- If f'(x) changes from + to −: local maximum
- If f'(x) changes from − to +: local minimum
- If f'(x) does not change sign: neither (point of inflection)
Second Derivative Test
- Find f'(x) and set f'(x) = 0 to get critical points
- Find f''(x) and evaluate at each critical point c:
- If f''(c) < 0: local maximum at x = c
- If f''(c) > 0: local minimum at x = c
- If f''(c) = 0: test is inconclusive → use the first derivative test
Memory trick — "Second derivative tells the concavity":
- f''(c) < 0 → concave down → mountain shape → maximum (think: sad face → max was reached)
- f''(c) > 0 → concave up → valley shape → minimum (think: happy face → min was reached)
Absolute (Global) Maximum and Minimum on [a,b]
For a continuous function on a closed interval [a,b]:
- Find all critical points in (a,b)
- Evaluate f at each critical point and at the endpoints a and b
- The largest value is the absolute maximum; the smallest is the absolute minimum
Important: This method works only on a closed interval. On open intervals or the entire real line, absolute extrema may not exist.
Word Problems on Maxima-Minima (Most Important)
Common problem types:
- Maximum area of a rectangle inscribed in a circle/ellipse
- Minimum material (surface area) for a given volume (cylinder, box)
- Maximum volume for a given surface area
- Maximum profit/minimum cost in economics-based problems
- Largest cone inscribed in a sphere
Solving approach for word problems:
- Read and identify what quantity to maximize/minimize
- Express that quantity as a function of one variable (use constraints to eliminate other variables)
- Differentiate and set the derivative equal to zero
- Verify using the second derivative test (or first derivative test)
- State the answer in context (include units and what the result means)
Memory trick — "One variable, one equation": The key to every word problem is reducing the quantity to a function of just one variable. Use the given constraints (perimeter, surface area, volume, etc.) to eliminate the extra variable.
Board Exam Question Types
Type 1: Maxima-Minima Word Problem (5 marks)
This is the most common 5-mark question from this chapter. A geometric or applied problem requiring optimization.
Example: Find the dimensions of a rectangle of maximum area that can be inscribed in a circle of radius r.
Approach:
- Let half-length = x, half-width = y. Constraint: x² + y² = r²
- Area A = 4xy. From constraint: y = √(r²-x²)
- A = 4x√(r²-x²)
- dA/dx = 0 → solve to find x = r/√2
- y = r/√2, so the rectangle is a square with side r√2
- Verify with second derivative test
Type 2: Finding Intervals of Increase/Decrease (3 marks)
Example: Find the intervals in which f(x) = 2x³ - 3x² - 36x + 7 is strictly increasing and strictly decreasing.
Approach:
- f'(x) = 6x² - 6x - 36 = 6(x² - x - 6) = 6(x-3)(x+2)
- Critical points: x = -2, x = 3
- Test intervals: f'(x) > 0 for x < -2 and x > 3 (increasing); f'(x) < 0 for -2 < x < 3 (decreasing)
Type 3: Equation of Tangent and Normal (3 marks)
Example: Find the equation of the tangent and normal to y = x³ - 3x + 5 at (1, 3).
Approach:
- dy/dx = 3x² - 3. At x = 1: m = 3(1) - 3 = 0
- Tangent: y - 3 = 0(x - 1) → y = 3 (horizontal line)
- Normal: x = 1 (vertical line, since tangent is horizontal)
Type 4: Rate of Change Problems (2-3 marks)
Example: The radius of a balloon increases at 2 cm/s. Find the rate at which the surface area increases when the radius is 5 cm.
Approach: S = 4πr². dS/dt = 8πr(dr/dt) = 8π(5)(2) = 80π cm²/s
Type 5: Approximation (2 marks)
Example: Find the approximate value of (3.02)⁴.
Approach: f(x) = x⁴, x = 3, Δx = 0.02 f'(x) = 4x³. f(3) = 81. f'(3) = 108. (3.02)⁴ ≈ 81 + 108(0.02) = 81 + 2.16 = 83.16
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Common Mistakes That Cost Marks
1. Not verifying that a critical point is actually a maximum/minimum. Finding f'(c) = 0 only identifies candidates. You must verify using the second derivative test or first derivative test. Simply writing "critical point, therefore maximum" loses marks.
2. Forgetting to check endpoints for absolute extrema on closed intervals. On [a,b], the absolute maximum/minimum can occur at the endpoints, not just at critical points. Students who only check critical points miss the correct answer in many problems.
3. Wrong setup of the one-variable function in word problems. The hardest part of optimization word problems is expressing the quantity as a function of one variable. A wrong constraint equation or incorrect substitution leads to the wrong answer despite correct calculus.
4. Confusing tangent and normal slopes. Normal slope = -1/(tangent slope). Students sometimes use the tangent slope for the normal equation or forget the negative sign. The normal is perpendicular to the tangent, not the other way around.
5. Sign error in the second derivative when verifying maxima/minima. f''(c) < 0 means maximum, f''(c) > 0 means minimum. A sign error here flips the conclusion. Double-check the sign by substituting carefully.
6. Not stating the final answer in the context of the word problem. If asked "find the dimensions that minimize the surface area," the answer should be a statement like "The surface area is minimum when the radius is 5 cm and the height is 10 cm," not just "x = 5."
4-Week Practice Plan
Week 1: Rate of Change and Increasing/Decreasing
- Read NCERT Chapter 6 (Application of Derivatives) — Sections 6.1 to 6.3
- Solve all NCERT examples on rate of change (Examples 6.1 to 6.5)
- Practice 15 problems on increasing/decreasing functions
- Make a formula sheet with all key results
- Solve NCERT Exercise 6.1 and 6.2 completely
Week 2: Tangent, Normal, and Approximations
- Master tangent and normal equations — solve at least 15 problems
- Practice approximation problems — solve at least 10 problems
- Solve NCERT Exercise 6.3 and 6.4
- Focus on special cases: horizontal tangents, vertical tangents, tangent at the origin
- Refer to the CBSE Class 12 Maths formulas list
Week 3: Maxima, Minima, and Word Problems
- Study the first and second derivative tests thoroughly
- Practice at least 20 maxima-minima problems from NCERT and reference books
- Focus on word problems: inscribed shapes, optimal dimensions, cost/profit optimization
- Solve NCERT Exercise 6.5 (Miscellaneous) — every problem
- Solve CBSE previous year questions (2019-2026) — at least 25 questions from this chapter
Week 4: Revision and Mock Tests
- Revise the formula sheet and key approaches daily
- Solve 2-3 full Maths sample papers, timing the maxima-minima 5-mark question (target: 8-10 minutes)
- Review common mistakes, especially endpoint checking and second derivative verification
- Practice mixed problems that combine concepts (rate + optimization, tangent + maxima)
- Check the CBSE Class 12 Maths important chapters
Quick Revision Card for Exam Day
- Rate of change: dy/dx = (dy/dt)/(dx/dt)
- Increasing: f'(x) > 0; Decreasing: f'(x) < 0
- Tangent slope at (x₁,y₁): m = f'(x₁)
- Tangent equation: y-y₁ = f'(x₁)(x-x₁)
- Normal slope: -1/f'(x₁)
- Approximation: f(x+Δx) ≈ f(x) + f'(x)·Δx
- Critical points: f'(x) = 0
- First derivative test: + to − = max; − to + = min
- Second derivative test: f''(c) < 0 = max; f''(c) > 0 = min; f''(c) = 0 = inconclusive
- Absolute extrema on [a,b]: Check critical points AND endpoints
- Word problem strategy: Identify quantity → one variable → differentiate → verify → state answer
- Common shapes: Rectangle in circle → side = r√2; Cylinder max volume in sphere → r = R√(2/3)
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Application of Derivatives is where abstract calculus becomes tangible — optimizing shapes, finding rates, drawing tangent lines. The 5 marks from this chapter are highly scorable with the right practice, especially the predictable maxima-minima word problems. Padhaao offers step-by-step solutions, visual explanations of optimization, and board-style practice questions. 10 learning modes, 3 free chapters daily, no download needed.
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Frequently Asked Questions
How many marks does Application of Derivatives carry in the board exam?
Chapter 6 carries approximately 5 marks out of 80 in the CBSE Class 12 Maths theory paper. The marks typically come as one 5-mark maxima-minima word problem, or as a combination of one 3-mark question (tangent/increasing-decreasing) and one 2-mark question (rate of change/approximation).
What is the most important topic for the board exam?
Maxima and minima word problems are by far the most important — they account for the 5-mark question in most years. Common problem types include finding the largest rectangle inscribed in a circle, the cylinder with minimum surface area for a given volume, and the cone with maximum volume inscribed in a sphere. Practice at least 15 word problems of different types.
When should I use the first derivative test vs the second derivative test?
Use the second derivative test as your default — it is faster. Calculate f''(c) at the critical point: negative means maximum, positive means minimum. If f''(c) = 0 (the test is inconclusive), fall back to the first derivative test and check sign changes. For board exams, the second derivative test is usually sufficient.
How do I set up the function for word problems?
This is the hardest part. Read the problem twice. Identify what you need to optimize (area, volume, cost, profit). Express it as a mathematical function. Use the constraint (total perimeter, total surface area, etc.) to eliminate one variable so your function depends on only one variable. Draw a diagram if the problem is geometric — it helps immensely.
Is this chapter also important for JEE?
Yes. Application of derivatives is a core JEE topic, especially maxima-minima problems. JEE questions are harder (often involving multistep reasoning or unusual constraints), but the board-level foundation covers about 60% of JEE requirements. The first and second derivative tests, increasing/decreasing functions, and tangent/normal are all JEE-relevant.
How do I avoid silly mistakes in rate of change problems?
Always write out the chain rule explicitly. If you want dA/dt and you know dA/dr and dr/dt, write: dA/dt = (dA/dr)(dr/dt). Substitute values only after setting up the chain. Also, pay attention to units — if radius is in cm and time is in seconds, the rate should be in cm²/s (for area) or cm³/s (for volume).
Final Thoughts
Application of Derivatives is one of the most rewarding chapters in CBSE Class 12 Maths because the concepts are intuitive and the applications are visible. Every question follows a clear pattern: differentiate, set to zero, interpret. The maxima-minima word problems may look intimidating at first, but once you learn to reduce the problem to one variable and apply the derivative tests, they become formulaic. Master this chapter alongside Chapter 5 (Continuity and Differentiability), and you will have a strong command over 13 marks of the Calculus unit. For the complete preparation plan, see the CBSE Class 12 Maths chapter-wise marks weightage and the important chapters for 2027.
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