Differentiation
A progressive guide to derivatives, from the limit definition and core differentiation rules to implicit differentiation, inverse functions, and higher derivatives.
What a measures
Differentiation is the process of finding a . If a function is written as , common notations for its are
The has two closely related interpretations:
Geometrically, it is the slope of the tangent line to a curve at a point.
In an application, it is the instantaneous rate of change of one quantity with respect to another.
For example, if position is a function of time, its is instantaneous velocity. The is therefore a local measurement: it describes what is happening near a particular input rather than over a broad interval.
Takeaway: Differentiation converts a function into a new function that records local slope or instantaneous change.
The from a limit
A secant line passes through two points on the graph of . If the inputs differ by , its slope is the
As the second point moves toward the first, , the secant slope approaches the slope of the tangent line. This gives the limit definition of the :
An equivalent form at the input is
The exists at only when this limit exists as a finite number. At an endpoint, a one-sided limit may be used.
Example: Finding the of
Thus, the slope at is , and the tangent line at is
Takeaway: The is obtained by simplifying the average-rate expression and then taking its limit as the input change approaches zero.
Differentiability and continuity
Differentiability and continuity are related but not equivalent. If a function is differentiable at , then it is continuous at . However, continuity alone does not guarantee differentiability.
A function can fail to be differentiable at a:
corner,
cusp,
vertical tangent, or
discontinuity.
For example, is continuous at , but it has no there. The slope from the left is , while the slope from the right is ; because the one-sided slopes do not agree, the does not exist.
Takeaway: Differentiability implies continuity, but a continuous function may still have a sharp feature where no single tangent slope exists.
Core differentiation rules
Basic rules make it possible to differentiate complicated expressions efficiently.
:
Constant rule:
Constant-multiple rule:
Sum and difference rules:
:
:
For example,
For an expression that is a composition, use the :
The generalized is a common chain-rule application:
Takeaway: First identify the structure of the expression, then select the rule that matches that structure.
Algebraic functions
Rewrite radicals and reciprocals as powers when this makes the rules easier to apply:
For example,
Algebraic functions may also require several rules at once. Consider
Using the and the gives
A factored is often useful because it can make zeros, factors, and sign changes easier to see. Always keep domain restrictions in mind when radicals occur in denominators or when negative powers are used.
Takeaway: Converting algebraic expressions to powers often exposes the product, quotient, and composition structure needed for differentiation.
Trigonometric, exponential, and logarithmic derivatives
When differentiating trigonometric, exponential, or logarithmic functions, combine the relevant basic formula with the when the input is not simply . Trigonometric formulas assume angles are measured in radians.
Trigonometric functions
For example,
Exponential functions
and for , ,
Thus,
Logarithmic functions
where . In particular,
For a logarithm with base ,
Takeaway: Memorize the basic families, then multiply by the of the inner expression whenever the input is composite.
Inverse functions
The of an inverse function can be found from the of the original function. If is one-to-one and differentiable, then
provided the denominator is nonzero.
Important inverse trigonometric formulas include
and
With a composite argument,
For example,
The formula for can be derived by setting , so that . Differentiating implicitly gives , and the principal range of supplies .
Takeaway: Inverse-function derivatives are reciprocals of the corresponding original-function derivatives, evaluated at the matching inverse input.
Finding slopes implicitly
Use when an equation relates and but does not conveniently give as an explicit function of . Differentiate both sides with respect to , treat as a function of , apply the to terms involving , and solve for .
For example, given the circle
differentiation gives
Therefore,
At , the slope is , so the tangent line is
For a more complicated relation,
differentiation gives
Collecting the terms yields
Takeaway: Every occurrence of must be differentiated as a function of ; this is why factors of appear.
and a differentiation strategy
A second is the of the first :
More generally, repeated differentiation produces . For
we obtain
The first describes instantaneous rate of change. The second describes how that rate changes. In motion problems, if position is differentiated once to obtain velocity, differentiating again gives acceleration.
For a complicated function, use this workflow:
Identify the outermost operation: sum, product, quotient, or composition.
Rewrite radicals and reciprocals as powers when helpful.
Apply the appropriate structural rule.
Differentiate the basic pieces.
Simplify only when simplification improves clarity.
Check restrictions from logarithms, denominators, radicals, and inverse trigonometric functions.
For example, with
use the and the :
The real-valued function requires , and the is defined only where the entire expression is defined.
Takeaway: A reliable differentiation strategy is structural: identify the outer operation, apply the matching rule, differentiate inward, and verify the domain.