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Revision: 12th Std >> Applications of Derivatives MAH-MHT CET (PCM/PCB) Applications of Derivatives

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Definitions [4]

Definition: Derivative as a Rate Measure

The derivative \[\frac{dy}{dx}\] represents the rate of change of a variable (y) with respect to another variable (x).

In general, if a quantity depends on another, then its derivative gives the instantaneous rate of change of that quantity.

Definition: Decreasing Function

A function ( f(x) ) is said to be a decreasing function on (a, b) if x₁ < x₂ ⇒ f(x₁) ≥ f(x₂)

Strictly Decreasing Function:

  • If x₁ < x₂ ⇒ f(x₁) > f(x₂)
Definition: Monotonic Function

A function ( f ) is said to be monotonic in an interval if it is either increasing or decreasing in that interval.

Definition: Increasing Function

A function ( f(x) ) is said to be an increasing function on ((a, b)) if x₁ < x₂ ⇒ f(x₁) ≤ f(x₂)

Strictly Increasing Function:

  • If x₁ < x₂ ⇒ f(x₁) < f(x₂)

Formulae [2]

Formula: Slope of Tangent

Slope of tangent at a point:\[\frac{dy}{dx}\]

Slope of normal: \[-\frac{1}{\frac{dy}{dx}}\]

Formula: Approximations

\[\mathrm{f(a+h)\approx f(a)+h~f^{\prime}(a)}\]

Theorems and Laws [2]

Rolle’s Theorem

Statement:

If a function f(x):

  1. Is continuous on the closed interval [a,b]

  2. Is differentiable on the open interval (a,b)

  3. Satisfies f(a) = f(b)

Then there exists at least one c∈(a,b)c \in (a,b) such that:

\[f^{\prime}(c)=0\]

Lagrange’s Mean Value Theorem

Statement: 

If a function f(x):

  1. Is continuous on the closed interval [a,b]

  2. Is differentiable on the open interval (a,b)

Then there exists at least one number c ∈ (a,b) such that:

\[f^{\prime}(c)=\frac{f(b)-f(a)}{b-a}\]

Key Points

Key points: Application of Derivative in Geometry

Equation of tangent at (x1,y1): \[y-y_1=\left(\frac{dy}{dx}\right)_{x_1}(x-x_1)\]

Equation of normal:

\[y-y_1=-\frac{1}{\left(\frac{dy}{dx}\right)_{x_1}}(x-x_1)\]

Tangent parallel to X-axis: \[\frac{dy}{dx}=0\]

Tangent parallel to Y-axis: \[\frac{dy}{dx}=\infty\quad(\mathrm{or~}\frac{dx}{dy}=0)\]

Key Points: Velocity, Acceleration and Jerk

1. Basic Meaning:

  • Derivative represents the rate of change of y with respect to x

2. Velocity:

  • Velocity = rate of change of displacement
  • v = \[\frac{ds}{dt}\]
  • At t = 0 → initial velocity
  • v > 0 → motion forward
  • v < 0 → motion backward
  • v = 0 → particle at rest

3. Acceleration:

  • Acceleration = rate of change of velocity
  • a = \[\frac{dv}{dt}\] = \[\frac{d^2s}{dt^2}\]
  • a > 0 → velocity increasing
  • a < 0 → velocity decreasing
  • a = 0 → constant velocity
Key Points: First Derivative Test for Increasing and Decreasing Function
  • f′(x) > 0 ⇒ function increasing
  • f′(x) < 0 ⇒ function decreasing
  • f′(x) = 0 ⇒ function constant
Key Points: Maxima and Minima

First Derivative Test:

Maxima at x = c:

  • f′(c) = 0
  • f′(c − h) > 0 and f′(c + h) < 0

Minima at x = c:

  • f′(c) = 0
  • f′(c − h) < 0 and f′(c + h) > 0

Second Derivative Test:

  • If f′(a) = 0 and f″(a) < 0 → Maximum
  • If f′(a) = 0 and f″(a) > 0 → Minimum
  • If f″(a) = 0 → Test fails (use first derivative)
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