In mathematics calculus, the derivative of a function at a particular point provides the slope of the tangent line to the function's graph at that point. This slope represents the rate of change of the function with respect to its input variable. If we denote a function by f(x), its derivative is often represented as
At its simplest, the derivative of a function at a given point is the slope of the tangent line to the function's graph at that point. This slope indicates how steeply the function's value is changing at that specific input value. Mathematically, for a function f(x), the derivative at x = a is defined as:
This limit, if it exists, captures the instantaneous rate of change of the function.
The derivative of a function f(x) at x = a is defined as the limit of the function's average rate of change as the interval around a approaches zero. Mathematically, this is expressed as:
If this limit exists, f'(a) represents the instantaneous rate of change of the function at x = a. The process of finding the derivative is called differentiation.
Several notations are commonly used to denote the derivative of a function:
For higher-order derivatives, which represent the derivative of the derivative, the notation extends to f''(x) for the second derivative, f'''(x) for the third derivative, and so on.
Basic Derivative Function Formulas are
Applicable for any real number n.
, where c is a constant.
If 3 functions are involved
Where a is a constant.
For functions not explicitly solved for one variable in terms of another, implicit differentiation is used:
To find of implicit curves, we differentiate each term with respect to x regarding y as a function of x and then collect term with \frac{d y}{d x} together on one side
Differentiation of homogeneous relation
The second derivative represents the rate of change of the first derivative, providing information about the concavity of the function.
Higher-order derivatives can provide deeper insights into the behavior of functions, such as inflection points and more detailed curvature information.
Solution: Using the power rule ,
Solution: Using the sum and difference rule,
Solution: Using the product rule ,
Let u(x) = x2 and v(x) = sin(x),
u'(x) = 2x and v'(x) = cos(x)
Therefore,
h'(x) = (2x) sin(x) + (x2) cos(x)
h'(x) = 2xsin(x) + x2cos(x)
Solution: Using the quotient rule ,
Let u(x) = x2 + 1 and v(x) = x,
u'(x) = 2x and v'(x) = 1
Therefore,
Solution: Using the chain rule ,
Let u = x2, so m(x) = sin(u),
Therefore, m'(x) = 2x cos(x2)
Solution: Using the exponential rule ,
Let u(x) = 3x,
Then u'(x) = 3
Therefore,
p'(x) = e3x ·3
p'(x) = 3e3x
Solution: Using the chain rule and the logarithm rule ,
Let u(x) = x2 + 1,
Then u'(x) = 2x
Therefore,
Solution: To find , differentiate both sides with respect to x,
Solving for ,
Solution: First Derivative:
r'(x) = 3x2
Second Derivative:
Third Derivative:
Q. What are the basic rules of differentiation?
Ans: The basic rules of differentiation include:
Q. How do you find the derivative of a trigonometric function?
Ans: The derivatives of the basic trigonometric functions are:
Q. What is implicit differentiation?
Ans: Implicit differentiation is a technique used to find the derivative of a function that is not explicitly solved for one variable in terms of another. For example, if you have an equation involving both x and y, such as x2 + y2 = 1, you differentiate both sides with respect to x and solve for
Q. How do you differentiate exponential and logarithmic functions?
Ans: For exponential functions:
For logarithmic functions:
Q. How do you handle derivatives of inverse trigonometric functions?
Ans: The derivatives of the basic inverse trigonometric functions are:
(Session 2025 - 26)