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=Chapter 5: Continuity and Differentiability

=Chapter 1: Relations and Functions

=Chapter 2: Inverse Trigonometric Functions

=Chapter 3: Matrices

=Chapter 4: Determinants

=Chapter 6: Application of Derivatives

=Chapter 7: Integrals

=Chapter 8: Application of Integrals

=Chapter 9. Differential Equations

=Chapter 10: Vector Algebra

=Chapter 12: Linear Programming

= Chapter 11: Three Dimensional Geometry

 

Chapter 5: Continuity and Differentiability

NCERT Notes for Class 12 Mathematics

Chapter 5: Continuity and Differentiability

Derivative

The rate of change of a quantity y with respect to another quantity x is called the derivative or differential coefficient of y with respect to x .

Differentiation of a Function

Let f(x) is a function differentiable in an interval [a, b]. That is, at every point of the interval, the derivative of the function exists finitely and is unique. Hence, we may define a new function g: [a, b] → R, such that, ∀ x ∈ [a, b], g(x) = f'(x).
This new function is said to be differentiation (differential coefficient) of the function f(x) with respect to x and it is denoted by df(x) / d(x) or Df(x) or f'(x).

Differentiation of a Function

Differentiation ‘from First Principle

Let f(x) is a function finitely differentiable at every point on the real number line. Then, its derivative is given by

Differentiation ‘from First Principle

Standard Differentiations

1. d / d(x) (xn) = nxn – 1, x ∈ R, n ∈ R
2. d / d(x) (k) = 0, where k is constant.
3. d / d(x) (ex) = ex
4. d / d(x) (ax) = ax loge a > 0, a ≠ 1

Standard Differentiations

Fundamental Rules for Differentiation

Fundamental Rules for Differentiation

(v) if d / d(x) f(x) = φ(x), then d / d(x) f(ax + b) = a φ(ax + b)
(vi) Differentiation of a constant function is zero i.e., d / d(x) (c) = 0.

Geometrically Meaning of Derivative at a Point

Geometrically derivative of a function at a point x = c is the slope of the tangent to the curve y = f(x) at the point {c, f(c)}.
Slope of tangent at P = lim x → c f(x) – f(c) / x – c = {df(x) / d(x)} x = c or f’ (c).

Different Types of Differentiable Function
1. Differentiation of Composite Function (Chain Rule)

If f and g are differentiable functions in their domain, then fog is also differentiable and
(fog)’ (x) = f’ {g(x)} g’ (x)
More easily, if y = f(u) and u = g(x), then dy / dx = dy / du * du / dx.
If y is a function of u, u is a function of v and v is a function of x. Then, dy / dx = dy / du * du / dv * dv / dx.

2. Differentiation Using Substitution

In order to find differential coefficients of complicated expression involving inverse trigonometric functions some substitutions are very helpful, which are listed below .

Differentiation Using Substitution

3. Differentiation of Implicit Functions

If f(x, y) = 0, differentiate with respect to x and collect the terms containing dy / dx at one side and find dy / dx.
Shortcut for Implicit Functions For Implicit function, put d /dx {f(x, y)} = – ∂f / ∂x / ∂f / ∂y, where ∂f / ∂x is a partial differential of given function with respect to x and ∂f / ∂y means Partial differential of given function with respect to y.

4. Differentiation of Parametric Functions

If x = f(t), y = g(t), where t is parameter, then dy / dx = (dy / dt) / (dx / dt) = d / dt g(t) / d / dt f(t) = g’ (t) / f’ (t)

5. Differential Coefficient Using Inverse Trigonometrical Substitutions

Sometimes the given function can be deducted with the help of inverse Trigonometrical substitution and then to find the differential coefficient is very easy.

Differential Coefficient Using Inverse Trigonometrical Substitutions

Differential Coefficient Using Inverse Trigonometrical Substitutions

Logarithmic Differentiation Function

(i) If a function is the product and quotient of functions such as y = f1(x) f2(x) f3(x)… / g1(x) g2(x) g3(x)… , we first take algorithm and then differentiate.
(ii) If a function is in the form of exponent of a function over another function such as [f(x)]g(x) , we first take logarithm and then differentiate.

Differentiation of a Function with Respect to Another Function

Let y = f(x) and z = g(x), then the differentiation of y with respect to z is dy / dz = dy / dx / dz / dx = f’ (x) / g’ (x)

Successive Differentiations

If the function y = f(x) be differentiated with respect to x, then the result dy / dx or f’ (x), so obtained is a function of x (may be a constant).
Hence, dy / dx can again be differentiated with respect of x.
The differential coefficient of dy / dx with respect to x is written as d /dx (dy / dx) = d2y / dx2 or f’ (x). Again, the differential coefficient of d2y / dx2 with respect to x is written as d / dx (d2y / dx2) = d3y / dx3 or f”'(x)……
Here, dy / dx, d2y / dx2, d3y / dx3,… are respectively known as first, second, third, … order differential coefficients of y with respect to x. These alternatively denoted by f’ (x), f” (x), f”’
(x), … or y1, y2, y3…., respectively.
Note dy / dx = (dy / dθ) / (dx / dθ) but d2y / dx2 ≠ (d2y / dθ2) / (d2x / dθ2)

Leibnitz Theorem

If u and v are functions of x such that their nth derivative exist, then

Leibnitz Theorem

nth Derivative of Some Functions

nth Derivative of Some Functions

nth Derivative of Some Functions

Derivatives of Special Types of Functions

Derivatives of Special Types of Functions

(vii) Differentiation of a Determinant

Differentiation of a Determinant

(viii) Differentiation of Integrable Functions

If g1 (x) and g2 (x) are defined in [a, b], Differentiable at x ∈ [a, b] and f(t) is continuous for g1(a) ≤ f(t) ≤ g2(b), then

Differentiation of Integrable Functions

Partial Differentiation

The partial differential coefficient of f(x, y) with respect to x is the ordinary differential coefficient of f(x, y) when y is regarded as a constant. It is a written as ∂f / ∂x or Dxf or fx.

Partial Differentiation

e.g., If z = f(x, y) = x4 + y4 + 3xy2 + x4y + x + 2y
Then, ∂z / ∂x or ∂f / ∂x or fx = 4x3 + 3y2 + 2xy + 1 (here, y is consider as constant) ∂z / ∂y or ∂f / ∂y or fy = 4y3 + 6xy + x2 + 2 (here, x is consider as constant)

Higher Partial Derivatives

Let f(x, y) be a function of two variables such that ∂f / ∂x , ∂f / ∂y both exist.

(i) The partial derivative of ∂f / ∂y w.r.t. ‘x’ is denoted by ∂2f / ∂x2 / or fxx.
(ii) The partial derivative of ∂f / ∂y w.r.t. ‘y’ is denoted by ∂2f / ∂y2 / or fyy.
(iii) The partial derivative of ∂f / ∂x w.r.t. ‘y’ is denoted by ∂2f / ∂y ∂x / or fxy.
(iv) The partial derivative of ∂f / ∂x w.r.t. ‘x’ is denoted by ∂2f / ∂y ∂x / or fyx.

Note ∂2f / ∂x ∂y = ∂2f / ∂y ∂x
These four are second order partial derivatives.

Euler’s Theorem on Homogeneous Function

If f(x, y) be a homogeneous function in x, y of degree n, then x (&partf / ∂x) + y (&partf / ∂y) = nf

Deduction Form of Euler’s Theorem

If f(x, y) is a homogeneous function in x, y of degree n, then
(i) x (∂2f / ∂x2) + y (∂2f / ∂x ∂y) = (n – 1) &partf / ∂x
(ii) x (∂2f / ∂y ∂x) + y (∂2f / ∂y2) = (n – 1) &partf / ∂y
(iii) x2 (∂2f / ∂x2) + 2xy (∂2f / ∂x ∂y) + y2 (∂2f / ∂y2) = n(n – 1) f(x, y)

Important Points to be Remembered

If α is m times repeated root of the equation f(x) = 0, then f(x) can be written as f(x) =(x – α)m g(x), where g(α) ≠ 0.
From the above equation, we can see that f(α) = 0, f’ (α) = 0, f” (α) = 0, … , f(m – l) ,(α) = 0.
Hence, we have the following proposition f(α) = 0, f’ (α) = 0, f” (α) = 0, … , f(m – l) ,(α) = 0.
Therefore, α is m times repeated root of the equation f(x) = 0.


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Continuity and Differentiability Math Notes Download PDF



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math notes for Class 12 Download PDF Continuity and Differentiability Chapter 5
math notes for Class 12 Download PDF Continuity and Differentiability Chapter 5

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