Click to Chat
1800 2000 838
CART 0
Welcome User
OR
LOGIN
Complete Your Registration (Step 2 of 2 )
JEE Advanced
JEE Main
BITSAT
View complete IIT JEE section
AIPMT
AIIMS
View Complete Medical section
Medical Exam Calendar
NTSE
KVPY
Olympiads
CBSE
ICSE
UAE
Saudi Arabia
Qatar
Oman
Bahrain
Kuwait
Indonesia
Malaysia
Singapore
Uganda
View complete NRI section
Physics
Chemistry
Maths
Revision notes
View complete study material
X
Differentiation Differentiation is the chief chapter in Differential Calculus. In fact, it may be termed as the essence of calculus as it forms the basis of the entire calculus. It also lays the foundation for the subsequent topics like Tangents and Normal and Maxima Minima. In this section, Normally a dependent variable is expressed in terms of independent variables by means of an equation. Now when we find the differential coefficient of the dependent variable with respect to the independent variable, what we do is we try to find out another equation by which the change in the dependent variable (for any infinitesimal change in independent variable) is relatable to the independent variable, whatever be the value of the independent variable. Hence, derivative is a measure of how a function changes as its input changes. Informally, the derivative is the ratio of the infinitesimal change of the output over the infinitesimal change of the input producing that change of output. Geometrically, for a real valued function of a single real variable, the derivative at a point equals the slope of the tangent line to the graph of the function at that point. The process of finding a derivative is called differentiation. In fact, differentiation and integration are the two fundamental operations in single-variable calculus. The figure given below illustrates the exact difference between integration and differentiation: Notation: There are a number of ways of writing the derivative of a function. Though all these are same but it is essential to know them so as to avoid any kind of confusion: Suppose we are finding the derivative of x^{2}, then its derivative may be written as:
Differentiation is the chief chapter in Differential Calculus. In fact, it may be termed as the essence of calculus as it forms the basis of the entire calculus. It also lays the foundation for the subsequent topics like Tangents and Normal and Maxima Minima. In this section,
Normally a dependent variable is expressed in terms of independent variables by means of an equation. Now when we find the differential coefficient of the dependent variable with respect to the independent variable, what we do is we try to find out another equation by which the change in the dependent variable (for any infinitesimal change in independent variable) is relatable to the independent variable, whatever be the value of the independent variable.
Hence, derivative is a measure of how a function changes as its input changes. Informally, the derivative is the ratio of the infinitesimal change of the output over the infinitesimal change of the input producing that change of output. Geometrically, for a real valued function of a single real variable, the derivative at a point equals the slope of the tangent line to the graph of the function at that point. The process of finding a derivative is called differentiation.
In fact, differentiation and integration are the two fundamental operations in single-variable calculus. The figure given below illustrates the exact difference between integration and differentiation:
There are a number of ways of writing the derivative of a function. Though all these are same but it is essential to know them so as to avoid any kind of confusion:
Suppose we are finding the derivative of x^{2}, then its derivative may be written as:
If y = x^{2}, dy/dx = 2x
d/dx (x^{2}) = 2x
This says that the derivative of x^{2} with respect to x is 2x.
If f(x) = x^{2}, f'(x) = 2x
This says that is f(x) = x^{2}, the derivative of f(x) is 2x.
Let y = f(x) be a function, and let P(a, f(a)) and Q(a+h, f(a+h)) be two points on the graph of the function that are close to each other. This graph is shown below:
Joining the points P and Q with a straight line gives us the secant on the graph of the function. And in the ?PQR, the gradient of the line is given by
m = {f(a+h) – f(a)}/(a+h-a) = {f(a+h) – f(a)} / h
In limiting process, i.e. as Q approaches P, h becomes really small, almost close to zero.
Hence, m = (change in y)/(change in x)
= {f(a+h) – f(a)} / h
lim _{h→0} (?y/?x) = {f(a+h) – f(a)} / h
As Q → P, the chord/secant PQ tends to be a tangent at P for the curve y = f(x). Thus the limiting becomes the slope of the tangent at P for y = f(x).
We denote lim _{h→0} (?y/?x) = dy/dx, and
lim _{h→0 }[f(a+h) – f(a)]/ h = f’(a)
Therefore dy/dx = f’ (a) = m
Now, we have already seen that ‘m’ is the slope or gradient of the tangent at P for f(x).
f’(a) = tan θ = slope of f(x) at x = a.
The differentiation of functions is carried out in accordance with some rules. These differentiation rules have been listed with the help of the following chart:
All these rules will be discussed in detail in the coming sections. Here, we shall give a brief outline of these rules:
(1) Constant rule:
If the function f is a constant, then its derivative is zero. Moreover if a function is multiplied by a constant then its derivative is given by
{cf(x)}' = cf'(X)
(2) Sum Rule:
{f(x) ± g(x)}' = f'(x) ± g'(x)
(αf + βg)' = αf' + βg' , for all functions f and g and real numbers α and β.
(3) Product Rule:
(fg)' = f'g + g'f, for all functions f and g.
(4) Quotient Rule:
(f/g)' = (f'g – fg')/g^{2}, for all functions f and g such that g ≠ 0.
(5) Chain Rule:
If f(x) = h(g(x)), then f'(x) = h'(g(x)). g'(x)
So while using the chain rule remember the following points:
(i) Express the original function as a simpler function of u, where u is a function of x.
(ii) Differentiate the two functions you now have. Multiply the derivatives together, leaving your answer in terms of the original function (i.e. in x's rather than u's).
In order to compute the derivative of:
A function which is the product or quotient of a number of functions
y = g_{1}(x)g_{2}(x)g_{3}(x) ….. or [(g_{1}(x) g_{2}(x) g_{3}(x) ….) / (h_{1}(x) h_{2}(x) h_{3}(x) ….)
A function of the form [f(x)]^{g(x)} where f and g are both derivable, it is better to take the logarithm of the function first and then differentiate.
Or, we can write it as y = (f(x))^{g(x)} = e ^{g(x).ln f(x)?}
?We list below certain differentiation formulae for finding the derivative of functions:
Given below are some more formulae of some logarithmic and trigonometric functions:
d/dx (x^{x}) = x^{x} (1 + ln x)
d/dx (log_{a}x) = 1/ x ln a
d/dx (log_{a }f(x)) = 1/ f(x) ln a . d/dx f(x)
d/dx (sin x) = (sin x)' = cos x
(cos x)' = -sin x
(tan x)' = sec^{2} x
(sec x)' = sec x tan x
(cosec x)' = -cosec x cot x
(cot x)' = -cosec^{2}x
We now discuss some of the differentiation examples followed by some differentiation questions:
What is the gradient of the curve y = 2x^{3} at the point (3, 54)?
The gradient of the curve is given by its derivative so the question actually requires you to compute the derivative.
The derivative is dy/dx = 6x^{2}
When x = 3, dy/dx = 6 × 9 = 54.
Hence, the required gradient is 54.
________________________________________________________________________________
Find the derivative of
We will use the quotient rule to find the derivative.
Now we know that
……….(1)
…….(2)
Hence, combining (1) and (2) we get the required answer.
_______________________________________________________________________________
Find the derivative of f(x) = x^{4} + sin (x^{2}) – ln (x)e^{x} + 7.
Using the formulae, we get the derivative as
___________________________________________________________________________-
Find the derivative of (x^{2} + 5x – 3)/ 3 x^{½}.
This looks hard, but it isn't. The trick is to simplify the expression first: do the division (divide each term on the numerator by 3x^{½}.
Doing this we obtain
(1/3)x^{3/2} + (5/3)x^{½} - x^{-½} (using the laws of indices).
So differentiating term by term: ½ x^{½} + (5/6)x^{-½} + ½x^{-3/2}.
Q1. Both the derivative and the integral of this function are same
(a) the function is e^{x}.
(b) the function is e^{2x}.
(c) the function is 2e^{x}.
(d) the function is ln x.
Q2. If f(x) = h(g(x)), then f'(x) =
(a) h'(g’(x)). g(x)
(b) h(g’(x)). g'(x)
(c) h'(g(x)). g(x)
(d) h'(g(x)). g'(x)
Q3. The derivative of log_{a}x is
(a) 1/x ln ax
(b) 1/x ln ax
(c) 1/x ln ax
(d) 1/x ln ax
Q4. The derivative of a constant function is
(a) zero
(b) the function itself.
(c) constant
(d) none of these
Q5. the derivative of the function [f(x)]^{n} is
(a) n f(x)^{n} (f’(x))
(b) n f’(x)^{n-1} (f(x))
(c) n f(x)^{n-1} (f’(x))
(d) f(x)^{n-1} (f’(x))
Q1.
Q2.
Q3.
Q4.
Q5.
(a)
(d)
(b)
(c)
You may wish to refer general theorems on differentiation.
Click here to refer the most Useful Books of Mathematics.
For getting an idea of the type of questions asked, refer the previous year papers.
Signing up with Facebook allows you to connect with friends and classmates already using askIItians. It’s an easier way as well. “Relax, we won’t flood your facebook news feed!”
Post Question
Dear , Preparing for entrance exams? Register yourself for the free demo class from askiitians.
Introduction to Differentiation The derivative is...
General Theorems on Differentiation General...
Differentiation of Composite, Logarithmic and...
Differentiation of a Function Given in Parametric...
Solved Examples on Differentiation Example 1: i....
Limits using Differentiation L'Hospital's...
Algebraic Operations on Differentiation and...
Differentiation by Abinitio Differentiation by...
points won -