CBSE Class 12 Mathematics Chapter 5: Continuity and Differentiability Notes

These notes for CBSE Class 12 Mathematics Chapter 5, Continuity and Differentiability, provide a comprehensive overview of key concepts. The chapter defines the derivative as the rate of change and explains differentiation from the first principle. It details standard differentiation formulas for functions like xn, constants, ex, and ax, along with fundamental rules. The geometric interpretation of a derivative as the slope of a tangent is also covered. Various types of differentiable functions are discussed, including composite functions (chain rule), implicit functions, parametric functions, and the use of inverse trigonometric substitutions. Logarithmic differentiation for product/quotient forms and exponential functions is explained. The notes also cover differentiation with respect to another function and successive differentiations, including higher-order derivatives. Partial differentiation, higher partial derivatives, and Euler's Theorem on homogeneous functions are also included. These notes are designed to aid students in revising the chapter effectively for their exams.

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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 ‘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

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

Fundamental Rules for Differentiation

(v) if d / d(x) f(x) = ?(x), then d / d(x) f(ax + b) = a ?(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 .

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.

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 / d?) / (dx / d?) but d2y / dx2 ? (d2y / d?2) / (d2x / d?2)

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.

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 ? is m times repeated root of the equation f(x) = 0, then f(x) can be written as f(x) =(x – ?)m g(x), where g(?) ? 0.

From the above equation, we can see that f(?) = 0, f’ (?) = 0, f” (?) = 0, … , f(m – l) ,(?) = 0.

Hence, we have the following proposition f(?) = 0, f’ (?) = 0, f” (?) = 0, … , f(m – l) ,(?) = 0.

Therefore, ? is m times repeated root of the equation f(x) = 0.

PART 2

Frequently asked questions

What is the derivative of a function?

The derivative of a function y with respect to another quantity x is the rate at which y changes as x changes. It is denoted by dy/dx or f'(x).

What is the geometric meaning of the derivative?

Geometrically, the derivative of a function at a point is the slope of the tangent line to the curve of the function at that point.

How is the chain rule applied in differentiation?

The chain rule is used for differentiating composite functions. If y = f(u) and u = g(x), then dy/dx = dy/du * du/dx.

What is logarithmic differentiation used for?

Logarithmic differentiation is useful for functions that are products or quotients of many functions, or for functions of the form [f(x)]^g(x).

How do you differentiate an implicit function?

For an implicit function f(x, y) = 0, differentiate both sides with respect to x, treating y as a function of x, and then solve for dy/dx.

What are successive differentiations?

Successive differentiations involve differentiating a function multiple times with respect to the same variable, resulting in second-order, third-order, and higher-order derivatives (e.g., d2y/dx2).

What is partial differentiation?

Partial differentiation is used for functions of multiple variables. It involves differentiating with respect to one variable while treating all other variables as constants.

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