Before you begin
- Derivatives at a point; binomial expansion and conjugates.
Learning objectives
- Construct a derivative function from pointwise limits.
- Derive the positive-integer power rule.
- Explain how the derivative's domain can be smaller than the original domain.
A derivative at one point is a number. A derivative function assigns such numbers to all inputs where the required finite limit exists. For , the calculation holds for every real , so the derivative function is . The variable has changed its role from a fixed base point in one proof to the argument of a new function.
The notation also denotes the derivative when . At this stage it is notation for a limit-defined rate, not permission to cancel arbitrary symbols. Later, the chain rule and substitution will explain why certain manipulations that resemble fraction arithmetic work.
Cubes and integer powers
For , the difference quotient is
Letting gives . Both positive and negative nonzero increments yield the same expression’s limit.
For a positive integer , the binomial theorem gives
Subtract and divide by nonzero . Every term of the sum contains a positive power of and tends to zero. The result is the power rule for positive integers. The case is simply a constant quotient . A constant function has derivative zero because its output difference is always zero. Extending the power rule to all real exponents needs additional results; the binomial argument alone does not supply that extension.
Reciprocal and square root
The reciprocal calculation gives
The derivative cannot include zero because the original function has no value there. For at , conjugates give
The function’s domain is , while its ordinary two-sided derivative has domain . Even the right-hand difference quotient at zero grows without bound, so it does not supply a finite endpoint derivative. A formula and its domain must travel together.
For , the derivative is on and on , and is undefined at zero. The derivative function records a change of slope and the missing derivative at the corner. Drawing a line between the two branches would add information the function does not contain.
Higher derivatives and interpretation
If is differentiable, its derivative is , the second derivative. For , , , , and every derivative of order four or greater is zero. The th derivative is written , while normally means a power; these symbols are not interchangeable.
For position , the first derivative is velocity and the second acceleration. Positive acceleration means velocity is increasing, but speed need not increase. If a vehicle is moving in the negative direction with and , its velocity moves toward zero and its speed initially decreases. The signs of velocity and acceleration together determine this behavior.
Reading a derivative graph
Where , tangent slopes are positive; where , they are negative. A theorem in a later chapter will justify conclusions about increase on an interval. A derivative equal to zero at one point does not itself identify a maximum or minimum: has derivative zero at zero and continues increasing through it.
Two different functions can have the same derivative. For instance and both have derivative . Differentiation discards a vertical offset. The mean value theorem will show that, on an interval, functions with the same derivative can differ only by a constant. This observation will become the foundation of antiderivatives.
Exercises
- Differentiate directly by expansion, identifying the term that survives the limit.
- Give the domains of and its derivative.
- Find the first three derivatives of .
- Describe the derivative of at every real input where it exists.
- Give two functions with derivative .
- Explain why negative velocity with negative acceleration produces increasing speed locally when both signs persist.
Worked solutions
- The quotient is . Only survives.
- The function is defined on ; the finite ordinary derivative is defined on .
- , , and .
- It equals for , for , and is undefined at because the one-sided slopes disagree.
- and are examples.
- Velocity becomes more negative; its magnitude therefore increases. Speed is while , so its derivative is .