
Unit 3 : Differentiation: Composite, Implicit, and Inverse Functions
Posted on 07 Nov, 2024
3.1 The Chain Rule
When differentiating a composite function, we use the Chain Rule. The Chain Rule states that if you have a composite function
In other words, to find the derivative of a composite function:
- Differentiate the outer function
with respect to its input , keeping as it is. - Multiply by the derivative of the inner function
with respect to .
The Chain Rule is essential in calculus because it allows us to handle the derivatives of complex, nested functions by breaking them down step-by-step.
Chain Rule for Three Functions
When differentiating a composite function of three functions, we can extend the Chain Rule to handle the additional layer. Suppose we have three functions
Explanation
To differentiate a composite function with three functions
- Differentiate the outermost function
with respect to its input , keeping as it is. - Multiply by the derivative of the middle function
with respect to its input , keeping as it is. - Multiply by the derivative of the innermost function
with respect to .
This rule allows us to tackle complex nested functions by working through each function layer by layer.
Example
We find each derivative step-by-step:
- Differentiate
with respect to : . - Differentiate
with respect to : . - Differentiate
with respect to :
Putting it all together, we get:
Or simplifying:
This is the derivative of the composite function
3.2 Implicit Differentiation
Explicit equations
define one variable in terms of another directly. For example, in the explicit equation
Implicit equations
represent a relationship between variables that isn't explicitly solved for one variable. For example,Chain Rule and Implicit Differentiation
To differentiate implicit equations, we often need the
chain rule
. The chain rule states that if we are differentiating a function that involves another function (like-
Differentiating in terms of
:- For simple expressions like
, . - For powers of
, like , we use the power rule: . - For functions of
inside another function, like , we apply the chain rule: (since the derivative of is ).
- For simple expressions like
-
Differentiating in terms of
when is implicitly a function of :- When differentiating
, we treat it as a function of . So, . - For powers of
, like , we use the chain rule: . - For more complex expressions like
, we also use the chain rule: .
- When differentiating
Steps for Implicit Differentiation
To solve for
-
Take the derivative
of both sides of the equation with respect to , applying the chain rule whenever you differentiate a term involving . -
Gather all terms involving
on one side of the equation. Move other terms to the opposite side. -
Factor out
on the side where all terms are collected. -
Solve for
by isolating it on one side of the equation.
Example: Differentiating
Let's use the steps above to differentiate the implicit equation
-
Differentiate each term with respect to
:- For
: Using the chain rule, . - For
: This is straightforward differentiation, so . - For
: Using the chain rule again, .
Putting it all together:
- For
-
Collect all
terms on the left side: -
Factor out
: -
Solve for
:
This process allows us to find
3.3 Differentiating Inverse Functions
To differentiate an inverse function, we use a special formula for finding the derivative of the inverse of a function. This formula is helpful when we know the function
The Derivative of an Inverse Function Formula
The formula for the derivative of an inverse function is:
This formula tells us that to find the derivative of
- The derivative of
, denoted . - The value of
, which is the input for in the denominator.
Example Problem Explanation
Let’s apply this formula to the example given in the image.
Problem Setup
The function is
We need to find
Solution Steps
Use the Inverse Derivative Formula:
According to the formula, Specifically, we need to find , so:Find
We need to find the value of : , which is the input value of such that .
Set : Simplify this equation to solve for : So, .Calculate
We now need : , the derivative of . For , the derivative is:Evaluate
Substitute : into :Calculate
Now we can use the inverse function derivative formula: :
The value of
3.4 Differentiating Inverse Trigonometric Functions
To differentiate inverse trigonometric functions, we use specific formulas for each function. These derivatives have unique forms that depend on the specific inverse trig function being differentiated. Let's go over each formula, the domains, and ranges for these functions, and apply these rules to solve typical problems.
Inverse Trig Derivatives
Here are the derivatives for the six common inverse trigonometric functions:
- Derivative of the Inverse Sine (Arcsine):
Domain: - Derivative of the Inverse Cosine (Arccosine):
Domain: - Derivative of the Inverse Tangent (Arctangent):
Domain: - Derivative of the Inverse Cotangent (Arccotangent):
Domain: - Derivative of the Inverse Secant (Arcsecant):
Domain: - Derivative of the Inverse Cosecant (Arccosecant):
Domain:
These formulas provide us with the instantaneous rate of change (slope) for each inverse trigonometric function. Note that the derivatives of inverse sine, cosine, secant, and cosecant include square roots, which restrict their domains to keep the values within real numbers.
Domain and Range of Inverse Trigonometric Functions
Understanding the domain and range of each inverse trig function is crucial for applying these derivatives:
- Arcsine
: - Domain: - Range: - Arccosine
: - Domain: - Range: - Arctangent
: - Domain: - Range: - Arccotangent
: - Domain: - Range: - Arcsecant
: - Domain: - Range: , excluding - Arccosecant
: - Domain: - Range: , excluding
3.6 Calculating Higher-Order Derivatives
Higher-order derivatives provide insights into how a function's rate of change behaves over successive intervals. They are derivatives taken multiple times, each one describing the rate of change of the previous derivative. Higher-order derivatives are essential in various fields, from physics and engineering to mathematics and economics, as they allow us to explore concepts like acceleration, concavity, and jerk in depth.
Notation for Higher-Order Derivatives
There are several notations for expressing derivatives, as shown in the table. Here’s a breakdown of common notations for different orders of derivatives:
- First Derivative: Represents the slope or instantaneous rate of change.
- Notation:
, , or
- Notation:
- Second Derivative: Represents the rate of change of the first derivative, often related to concavity and acceleration.
- Notation:
, , or
- Notation:
- Third Derivative: Describes the rate of change of the second derivative, known as "jerk" in physics.
- Notation:
, , or
- Notation:
-
-th Derivative:> For general higher-order derivatives, the notation , , or is used, where indicates the order of the derivative.
Solution to Find for
Step 1: Differentiate Both Sides with Respect to (First Derivative)
Starting with the equation:
Differentiate both sides with respect to
Let
Rearrange to solve for
Step 2: Differentiate Again to Find (Second Derivative)
Now we find
Using the quotient rule on
Simplifying:
Substitute