Elementary Derivative Rules
Introduction to Elementary Derivative Rules
Motivating Questions for Derivative Rules
What are the alternate notations for the derivative?
How can the algebraic structure of a function be used to compute a formula for ?
What is the derivative of a power function of the form ?
What is the derivative of an exponential function of the form ?
If the derivative of is known, what is the derivative of , where is a constant?
If the derivatives of and are known, how is the derivative of computed?
Chapter 1 Review: The Concept of the Derivative
The derivative of a function measures the instantaneous rate of change of with respect to .
The derivative also represents the slope of the tangent line to at any given value of .
Previously, the focus was on interpreting the derivative graphically or as a meaningful rate of change in physical contexts.
To calculate the derivative at a specific point, the limit definition was used:
Goal of Chapter 2: Investigate patterns and rules derived from the limit definition to find derivative formulas quickly, without directly using the limit definition. For example, applying shortcuts to differentiate functions like by observation.
Key Notations for the Derivative
Beyond , several other notations are commonly used:
Leibniz Notation: When considering the relationship between and , the derivative of with respect to is denoted by .
Example: If , then .
Origin: This notation relates to the slope of a line, measured by . However, is viewed as a single symbol, not a quotient of two quantities, even though it's read as "change in over change in " or "dee-y dee-x."
Operator Notation: The instruction "take the derivative of the quantity in with respect to " is written as .
Example: .
Variable Flexibility: The independent variable can vary.
If , then .
If , then .
Second Derivatives: Notations extend to higher-order derivatives.
Example: f''(z) = rac{d}{dz}igg[ rac{df}{dz}igg] = rac{d^2f}{dz^2}.
Basic Derivative Rules: Constant, Power, and Exponential Functions
The Derivative of a Constant Function
Rule: For any real number , if , then .
Explanation: The graph of a constant function is a horizontal line, which has a slope of zero at every point.
Examples:
If , then .
.
The Derivative of a Power Function
Preview Activity 2.1.1 Exploration:
Using the limit definition to find derivatives for , , and (using binomial expansion for ) leads to a conjecture.
Conjectures for and suggest a pattern.
General conjecture: for , where is a positive integer, .
Rule: For any nonzero real number (positive or negative), if , then .
This rule can be formally proven for any nonzero real number.
Examples:
If , then .
If , then .
.
The Derivative of an Exponential Function
Rule: For any positive real number , if , then .
(Note: This rule is stated without immediate justification; justification is explored in exercises and later activities.)
Examples:
If , then .
If , then .
Special Case: The Natural Exponential Function
When the base , where is the base of the natural logarithm, the rule becomes:
Significance: The derivative of is the function itself (). This is a uniquely important property.
Distinction between Power and Exponential Functions:
Power functions: Variable is in the base, e.g., , .
Exponential functions: Variable is in the exponent (power), e.g., , .
The form of their derivatives differs significantly.
Activity 2.1.2: Applying Basic Rules
Use constant, power, and exponential rules to find derivatives of functions, applying proper notation (e.g., or ).
(a) (Constant rule)
(b) (Exponential rule)
(c) (Power rule)
(d) (Constant rule, since is a constant)
(e) (Exponential rule, )
(f) (Power rule, )
(g) (Power rule, )
Combining Derivative Rules: Constant Multiples and Sums
These rules allow differentiating functions constructed from basic functions through algebraic combinations, such as polynomials (e.g., ).
The Constant Multiple Rule
Rule: For any real number , if is a differentiable function with derivative , then .
In Words: "The derivative of a constant times a function is the constant times the derivative of the function."
Graphical Interpretation: Multiplying a function by a constant vertically stretches its graph by a factor of (and reflects it across the -axis if k < 0). This stretch affects the slope, making the slope of exactly times as steep as the slope of .
Examples:
If , then .
.
The Sum Rule
Rule: If and are differentiable functions with derivatives and respectively, then .
In Words: "The derivative of a sum is the sum of the derivatives."
Implication: A sum of two differentiable functions is also differentiable.
Extension to Differences: Since a difference can be viewed as a sum with a constant multiple (e.g., ), the Sum Rule and Constant Multiple Rule together imply:
or "the derivative of a difference is the difference of the derivatives."Examples:
.
If , then .
Activity 2.1.3: Applying Combined Rules
Compute derivatives using constant, power, exponential functions rules, along with the Constant Multiple and Sum Rules.
Important Caveat: Product and Quotient Rules are not yet learned. Algebraic manipulation (e.g., expanding products, dividing terms) may be necessary before applying current rules.
Examples of functions to differentiate:
(a)
(b)
(c) (Rewrite as )
(d) (Recognize and as constants)
(e) (Expand to first)
(f) (Divide each term by to get )
(g)
Terminology Simplification
Instead of "take the derivative of ", we often say "differentiate ".
If a derivative exists at a point, we say " is differentiable at that point," or that " can be differentiated."
General Observations on Derivatives from Rules
Polynomials: The derivative of any polynomial function will be another polynomial function. The degree of the derivative is one less than the degree of the original function.
Example: If (degree 5), its derivative (degree 4).
Exponential Functions: The derivative of any exponential function is another exponential function.
Example: If , then , which is also exponential.
Core Meaning Endures: All the meaning of the derivative developed in Chapter 1 still holds: it measures the instantaneous rate of change and the slope of the tangent line.
Activity 2.1.4: Applying Derivatives to Questions
(a) Find the slope of the tangent line to at . (Requires calculating ).
(b) Cell population growth: , where is in days.
(i) Determine the instantaneous rate of population growth on day 4, including units. (Requires ).
(ii) Is the population growing at an increasing or decreasing rate on day 4? Explain. (Requires analyzing the second derivative's sign at , or the trend of ).
(c) Find an equation for the tangent line to the curve at . (Requires for the point and for the slope).
(d) Clarify the difference between finding the slope of the tangent line and the equation of the tangent line.
Summary of Elementary Derivative Rules (2.1.5)
Notation: For a differentiable function , its derivative can be expressed as , , , or .
Limit Definition Leads to Rules: The limit definition reveals patterns for computing derivative formulas directly.
Power Rule: If , then for any real number (other than 0).
Exponential Rule: For any positive real number , if , then .
Constant Multiple and Sum Rules: If and are differentiable functions with derivatives and , and and are constants, then:
Exercises (2.1.6)
This section contains various exercises to practice applying the constant, power, exponential, constant multiple, and sum/difference rules. These include:
Finding derivatives of various functions.
Finding values of for which .
Finding equations for tangent lines.
Calculating rates of change in word problems.
Problems involving piecewise linear functions and interpreting derivatives from graphs.
A detailed problem (Problem 11) exploring the exponential derivative rule using the limit definition, leading to the special case of . It shows that . It asks to find such that this limit is 1, which happens when .