Calculus Notes: Product Rule, Quotient Rule, Higher Derivatives, Chain Rule Introduction
Derivatives: Rules and Applications
The Product Rule
Definition: The derivative of a product of two functions, , is not the product of their derivatives. This common mistake leads to incorrect answers.
Formula: If , then its derivative, usually denoted as or , is given by:
or, as stated quickly: "the first times the derivative of the second plus the second times the derivative of the first."Derivation (Brief Mention): The rule is derived by adding zero (e.g., ) in the limit definition, allowing for rearrangement and factoring to produce the formula.
Example (Recap from previous lecture):
Let and .
Their product is .
The correct derivative is .
Incorrect method: Taking the product of individual derivatives (, ). Their product is , which is incorrect.
Application Example: Find the derivative of .
Identify the first function () and the second function ().
and .
Applying the Product Rule:
This can be rearranged as . An can also be factored out: .
Extension to Three Functions: If you have a product of three functions, , its derivative is: This means taking the derivative of one function while keeping the others the same, and summing these combinations.
Example: Derivative of
Derivative of (other two same):
Derivative of (other two same):
Derivative of (other two same):
Combined:
The Quotient Rule
Definition: Used to find the derivative of a function that is the ratio of two other functions, .
Formula: If , then its derivative, or , is:
Important: Subtraction is not commutative, so the order in the numerator matters. Getting it wrong will result in an incorrect sign.
The rule requires that .
Mnemonic: "Low d High minus High d Low over the square of what's below." (Where 'low' refers to the denominator and 'high' to the numerator, and 'd' signifies 'derivative of'). Or simpler: "Low d High minus High d Low over Low squared."
Application Example 1: Derivative of
Recall that (i.e., , ).
and .
Applying the Quotient Rule:
Using the Pythagorean identity :
Thus, the derivative of is .
Application Example 2: Derivative of
Let and .
and .
Applying the Quotient Rule:
This matches the Power Rule result for (i.e., ).
Application Example 3: Derivative of
Quotient Rule:
Simplify numerator:
Result:
Derivatives of Trigonometric Functions
Previously established: and .
Derived: .
Other Trigonometric Derivatives:
Pattern: Derivatives of 'co-functions' (cosine, cotangent, cosecant) typically include a negative sign. For example, and .
Higher-Order Derivatives
Concept: When you take the derivative of a function, you get another function. You can then take the derivative of that new function, and so on. This process generates higher-order derivatives.
Notation:
First derivative: , , ,
Second derivative: , , ,
Third derivative: , , ,
Nth derivative (for ): Using numbers in parentheses to avoid messy primes: , , (or Roman numerals for lower orders, e.g., ).
Example with :
The pattern repeats every four derivatives. This illustrates that for sine and cosine functions.
Physical Applications: Higher-order derivatives are crucial in physics and engineering:
If is the position function of an object:
, which is the velocity function.
, which is the acceleration function. Acceleration is the rate of change of velocity.
For a falling object under constant gravity (like on Earth or the Moon), acceleration is constant (e.g., on Earth, on the Moon).
Most physical applications rarely require derivatives beyond the second order.
Higher-order derivatives (third, fourth, etc.) are sometimes used in numerical analysis for understanding error in approximations.
Review: Evaluating Limits by Factoring Polynomials (When Indeterminate Form)
Rule: If substituting the limit value into a rational function (a ratio of polynomials) results in the indeterminate form , it indicates that further work (e.g., factoring) is needed to find the limit.
Key Fact: If a polynomial evaluates to 0 when (i.e., ), then is a factor of .
Strategy: For forms with polynomials:
Confirm the form by plugging in the limit value.
Factor out the common factor (where is the limit value) from both the numerator and the denominator.
For quadratics, this is straightforward.
For cubics or higher-degree polynomials, if you know is a factor, you can use:
Reasoning/Inspection: For as , we know is a factor. We need . Matching coefficients:
.
.
Now we have . Expand: .
Comparing with , we need . Also, , which means works.
So, .
Polynomial Long Division: Divide the polynomial by .
Cancel out the common factor . (This is valid because in the limit approaching ).
Plug the limit value into the simplified expression to find the limit.
Example 1: Find the limit as of .
Plugging in gives . Do more work.
Factor: Numerator ; Denominator .
Expression becomes .
Cancel : .
Plug in : .
Example 2: Find the limit as of .
Plugging in gives . Do more work.
Factor: Denominator .
Factor Numerator (as shown above): .
Expression becomes .
Cancel : .
Plug in : .
DNE (Does Not Exist) Cases: If you get (where the number is non-zero) after simplification, the limit DNE.
The Chain Rule (Introduction)
Concept: Used to find the derivative of a composite function, i.e., a function within a function.
Formula: If (read as "f of g of x"), then its derivative is:
In simpler terms: "Take the derivative of the 'whole thing' (the outer function with the inner function unchanged), and then multiply by the derivative of the 'inside' (the inner function)."
Application Example: Find the derivative of .
Identify the outer function: (where ).
Identify the inner function: .
Derivative of the outer function with inner function unchanged: , so .
Derivative of the inner function: .
Applying Chain Rule: .
Verification by Expansion: Expand .
Take the derivative: .
Expanding the Chain Rule result: .
The results match, confirming the Chain Rule.
Multiple Links: For more complex nested functions (e.g., ), the chain rule can be applied successively (e.g., ).
Test Preparation Notes
Test 1: Scheduled for September 30th.
Content Distribution: The test will likely feature an equal distribution of topics covered.
Two problems will be high-value with multiple sub-parts.
One page (approx. 6 questions) will focus on limits, including problems like the factoring examples discussed.
Another page (approx. 3 questions) will involve various derivative calculations.
One question on the definition of a derivative.
One question on continuity.
Problem 2 will be on pre-calculus topics (inequalities: absolute value, quadratic).
Problem 1 will cover implicit differentiation, which will be introduced closer to the test date (e.g., this coming Friday).
The test covers precalculus, limits, and derivatives in order, concluding with an application-oriented problem.