Application Of Derivatives Class 12 Maths: Chapter Notes
Welcome to your revision notes for Chapter 6, Application of Derivatives. This chapter is a crucial part of calculus, showing how derivatives can solve real-world problems. We'll cover key applications including finding rates of change, determining if functions are increasing or decreasing, locating tangents and normals to curves, and finding maximum and minimum values of functions. This chapter has significant weightage in CBSE board exams, often featuring in case-study questions. These notes are designed for quick, effective revision, focusing on formulas, methods, and common exam questions. For a deeper understanding and interactive practice, use YoLearn.ai's AI tools. Create Flashcards for formulas, generate a Mind Map of the different tests, or take a Quiz to test your readiness.
Key Terminology
- Rate of Change
- The derivative dy/dx represents the rate of change of y with respect to x.
- Tangent
- A straight line that touches a curve at a single point, the point of tangency. Its slope is given by dy/dx at that point.
- Normal
- A straight line perpendicular to the tangent at the point of tangency. Its slope is -1 / (dy/dx).
- Increasing Function
- A function f(x) is increasing on an interval if f'(x) ≥ 0 for all x in that interval.
- Strictly Increasing Function
- A function f(x) is strictly increasing on an interval if f'(x) > 0 for all x in that interval.
- Critical Point
- A point 'c' in the domain of a function f where either f'(c) = 0 or f'(c) is not defined. These are potential points for local maxima or minima.
- Local Maximum
- A point where the function's value is greater than or equal to the values at all nearby points. Condition: f'(c) = 0 and f''(c) < 0.
- Local Minimum
- A point where the function's value is less than or equal to the values at all nearby points. Condition: f'(c) = 0 and f''(c) > 0.
- Absolute Maximum/Minimum
- The largest/smallest value of a function over its entire domain or a given closed interval.
- Point of Inflection
- A point on a curve at which the concavity changes (from up to down, or down to up). Often occurs where f''(x) = 0.
Must Remember Formulas & Conditions
- Rate of Change: If y = f(x), then dy/dx is the rate of change of y w.r.t x. For related rates, use the chain rule: dy/dt = (dy/dx) * (dx/dt).
- Slope of Tangent: The slope (m) of the tangent to the curve y = f(x) at (x₁, y₁) is m = [dy/dx] at (x₁, y₁).
- Equation of Tangent: The equation of the tangent at (x₁, y₁) is y - y₁ = m(x - x₁).
- Slope of Normal: The slope of the normal to the curve y = f(x) at (x₁, y₁) is -1/m = -1 / [dy/dx] at (x₁, y₁).
- Equation of Normal: The equation of the normal at (x₁, y₁) is y - y₁ = (-1/m)(x - x₁).
- Increasing/Decreasing Test: For a function f(x) on an interval (a, b): If f'(x) > 0, it is strictly increasing. If f'(x) < 0, it is strictly decreasing. If f'(x) = 0, it is a constant function.
- First Derivative Test (for Local Maxima/Minima): At a critical point c, if f'(x) changes from +ve to -ve, c is a local maximum. If f'(x) changes from -ve to +ve, c is a local minimum.
- Second Derivative Test (for Local Maxima/Minima): Find points c where f'(c)=0. Then, if f''(c) < 0, c is a local maximum. If f''(c) > 0, c is a local minimum. If f''(c) = 0, the test fails.
- Absolute Maxima/Minima in [a, b]: Find all critical points in [a, b]. Evaluate the function at these critical points AND at the endpoints a and b. The largest value is the absolute maximum, and the smallest is the absolute minimum.
- Approximation: For a small change Δx, the corresponding change in y (Δy) is approximately dy. So, Δy ≈ (dy/dx)Δx. This gives the formula: f(x + Δx) ≈ f(x) + f'(x)Δx.
Understanding Rate of Change
One of the most fundamental applications of derivatives is to determine the rate at which a quantity changes. The derivative, dy/dx, literally means the instantaneous rate of change of y with respect to x. In many real-world problems, quantities change with respect to time. For example, the volume of a melting ice cube, the distance covered by a moving car, or the height of water in a filling tank. These are problems of related rates. The key is to use the chain rule. If a variable y depends on a variable x, which in turn depends on time t, then the rate of change of y with respect to t is given by dy/dt = (dy/dx) * (dx/dt). To solve these problems, you must first identify the quantities involved, write down an equation (often from geometry, like the volume of a sphere V = (4/3)πr³) that relates them, differentiate this equation with respect to time t, and then substitute the given values to find the unknown rate.
How to Find Local Maxima and Minima
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Worked Examples
- {"header":"Example 1: Equation of a Tangent","body":"Find the equation of the tangent to the curve y = x⁴ – 6x³ + 13x² – 10x + 5 at the point (0, 5).","solution":"Solution:\n1. Find the derivative (slope function): dy/dx = 4x³ – 18x² + 26x – 10.\n2. Calculate the slope at the given point (0, 5): m = [dy/dx] at x=0 = 4(0)³ – 18(0)² + 26(0) – 10 = -10.\n3. Use the point-slope form y - y₁ = m(x - x₁): y - 5 = -10(x - 0) => y + 10x - 5 = 0."}
- {"header":"Example 2: Local Minima","body":"Find the local minimum value of the function f(x) = 2x³ - 3x² - 36x + 10.","solution":"Solution:\n1. First derivative: f'(x) = 6x² - 6x - 36.\n2. Find critical points by setting f'(x) = 0: 6(x² - x - 6) = 0 => 6(x-3)(x+2) = 0. Critical points are x = 3 and x = -2.\n3. Second derivative: f''(x) = 12x - 6.\n4. Test the points:\n - At x = 3: f''(3) = 12(3) - 6 = 30 > 0. So, x=3 is a point of local minimum.\n - At x = -2: f''(-2) = 12(-2) - 6 = -30 < 0. So, x=-2 is a point of local maximum.\n5. Find the local minimum value by putting x=3 in f(x): f(3) = 2(27) - 3(9) - 36(3) + 10 = 54 - 27 - 108 + 10 = -71."}
Board Exam Traps & Tips
Maxima vs. Minima Conditions: A very common mistake is to mix up the conditions for maxima and minima in the Second Derivative Test. Remember: f''(c) < 0 (negative) implies Maximum (think of a frowny face curve ∩), and f''(c) > 0 (positive) implies Minimum (think of a smiley face curve ∪).
Absolute vs. Local Extrema: For questions asking for absolute maximum or minimum in a closed interval [a, b], do not forget to check the function's value at the endpoints a and b. The absolute extremum can occur at a critical point or at an endpoint.
Word Problems: Read word problems carefully. Identify which quantity is constant and which are variables. Draw a diagram. Clearly state the formula (e.g., volume, surface area) you are starting with before differentiating. State what is given (e.g., dr/dt = 2 cm/s) and what needs to be found (e.g., find dV/dt when r = 5 cm).
Practice Questions with Solutions
- If f'(x) < 0 for all x in an interval (a, b), what can you conclude about the function f(x)? The function f(x) is strictly decreasing on the interval (a, b).
- What is the slope of the normal to the curve y = sin(x) at x = π/2? Slope of tangent: dy/dx = cos(x). At x = π/2, slope of tangent is cos(π/2) = 0. The tangent is horizontal. Therefore, the normal is a vertical line and its slope is undefined.
- For a function f(x), if f'(c) = 0 and f''(c) > 0, what is the point x=c? x=c is a point of local minimum.
- The radius 'r' of a circle is increasing at the rate of 0.7 cm/s. What is the rate of increase of its circumference? Circumference C = 2πr. dC/dt = 2π(dr/dt). Given dr/dt = 0.7 cm/s, so dC/dt = 2π(0.7) = 1.4π cm/s.
Frequently Asked Questions
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