04 The Derivative
A progressive guide to understanding the derivative as a rate of change, finding derivatives with core rules, and applying them to tangent lines, functions, and real-world quantities.
Meaning of the
The describes change at a single input value. For a function , the at is defined by
provided the limit exists. The expression inside the limit is the . It compares the change in output, , with the small input change .
Over a complete interval from to , the is
This is the slope of a secant line. When moves closer to , the secant line approaches the , and its slope approaches the , which is the .
For example, if a particle's position is , then
is its average velocity between two times, while is its velocity at the exact time .
Takeaway: The is both a limiting slope and an .
Notation and Motion
Several notations represent the same :
The notation describes a new function, while means that this function has been evaluated at the particular input .
For position and motion, if is position, then velocity is
and acceleration is
Thus, the second measures how velocity changes. Units also carry meaning: if position is measured in meters and time in seconds, then velocity has units of meters per second and acceleration has units of meters per second squared.
Takeaway: Notation identifies what is being differentiated, which variable is changing, and whether the result is a function or a value at a particular point.
Tangent Lines and
If a function is differentiable at , its at has slope . The point-slope equation is
For , the is . At , the point on the curve is , and the slope is . Therefore,
which simplifies to
When is close to , the gives the local linear approximation
This approximation is useful because a complicated curve and its have nearly the same values near the point of tangency.
A function is differentiable at a point when its exists there. requires a well-defined finite tangent slope. A discontinuity, hole, sharp corner, cusp, or vertical tangent can cause the to fail to exist. implies , but does not imply . For instance, is continuous at , but its left-hand slope is and its right-hand slope is , so it has no at .
Takeaway: A determines the tangent-line slope, and is a stronger condition than .
Core Differentiation Rules
The basic differentiation rules make symbolic calculation efficient.
Constant rule:
:
Constant multiple rule:
Sum and difference rules:
For a polynomial, differentiate each term separately. For example,
has
The constant term disappears because its is zero.
For products, use the :
For quotients, use the :
For nested expressions, use the :
For example,
The factor comes from differentiating the inner function .
Takeaway: First identify the structure of an expression—sum, product, quotient, or composition—then select the corresponding rule.
Exponential and Logarithmic Derivatives
The exponential and logarithmic rules follow distinctive patterns. For the natural exponential function,
With a composite exponent,
For a general exponential function with and ,
and therefore
The natural logarithm satisfies
for . Applying the gives
where the logarithm's input must be positive. For example,
For a logarithm with base ,
Takeaway: Exponential derivatives preserve the exponential factor, while logarithmic derivatives produce a reciprocal factor and require attention to domain.
Trigonometric Derivatives
The standard trigonometric formulas use radians as the angle measure:
If the trigonometric function contains a composite argument, multiply by the of that argument. For example,
The inner function is , whose is . The supplies this factor.
Takeaway: Memorize the six basic trigonometric derivatives, use radians, and apply the to nontrivial arguments.
Interpreting and Applying Derivatives
A can be interpreted directly from its sign and magnitude.
If , the function is increasing locally.
If , the function is decreasing locally.
If , the is horizontal. This may correspond to a local maximum, a local minimum, or neither.
A large value of indicates a steep graph and a rapid local rate of change.
The units of a are the units of the output divided by the units of the input. If is the cost in dollars of producing items, then has units of dollars per item. It approximates the additional cost associated with producing one more item near the production level .
A reliable workflow is:
Identify the function and the variable with respect to which you are differentiating.
Determine the expression's structure.
Apply the appropriate rule, including the for compositions.
Simplify the .
Evaluate at a specified input if a numerical rate or tangent slope is required.
Check the domain and interpret the units and sign.
Takeaway: Differentiation connects algebraic formulas with geometric slopes, physical motion, and practical rates of change.