Exponential & Logarithmic Functions
What this unit covers
The topics below follow the published Precalculus course framework for Unit 2. This unit is worth 27–40% of the exam, so budget your time against that rather than against how long the unit takes to teach.
Lessons in this unit
- Exponential Growth & Decay12 min · 3 objectivesIdentify the initial value and base of an exponential function · Classify a function as growth or decay from its base · Build an exponential model from a doubling or halving description
- Properties of Logarithms13 min · 3 objectivesInterpret a logarithm as the exponent that produces a given number · Apply the product, quotient, and power rules for logarithms · Evaluate simple logarithms without a calculator
- Inverse Functions14 min · 3 objectivesExplain how exponential and logarithmic functions are inverses · Find the inverse of a basic exponential function · Use the fact that composing a function with its inverse returns the input
- Modeling with Exponentials & Logs13 min · 3 objectivesApply half-life reasoning to a decaying quantity · Choose an appropriate model for a real-world growth or decay scenario · Solve an exponential equation using logarithms
Formulas in Unit 2
Every term in Unit 2
All 30 terms we publish for Exponential & Logarithmic Functions, with definitions. Reading them through is the fastest way to find the ones you cannot define — then drill those in cram mode until you can produce them without the prompt.
- Change of base formula
- log_b(x) = log(x)/log(b), using any consistent base. Needed because calculators offer only base 10 and base e.
- Semi-log plot
- Plotting log(y) against x linearises exponential data. A straight line on a semi-log plot is evidence the underlying model is exponential.
- Exponential function
- f(x) = ab^x with a ≠ 0 and b > 0, b ≠ 1. Grows by a constant FACTOR per unit input, unlike a linear function's constant difference.
- Recognizing exponential data
- Equal input intervals produce a constant RATIO of outputs. Constant differences indicate linear; constant second differences indicate quadratic.
- The number e
- The base for which the function equals its own rate of change, about 2.71828. Arises as the limit of (1 + 1/n)ⁿ.
- Exponential growth vs decay
- b > 1 gives growth, 0 < b < 1 gives decay. Equivalently, a positive exponent coefficient grows and a negative one decays.
- Horizontal asymptote of an exponential
- y = 0 for the parent function; a vertical shift by k moves it to y = k. Exponentials approach but never reach it.
- Logarithm definition
- log_b(x) = y means b^y = x. A logarithm is an exponent — the single most useful sentence in this unit.
- Domain of a logarithm
- x > 0 strictly. The log of zero or a negative number is undefined over the reals, which is why solutions must be checked after solving.
- Product and quotient rules for logs
- log(MN) = log M + log N and log(M/N) = log M − log N. Valid only when M and N are both positive.
- Power rule for logs
- log(Mᵖ) = p·log M. The rule that turns an unknown exponent into a coefficient, which is how exponential equations get solved.
- Solving exponential equations
- Take the log of both sides and apply the power rule, or rewrite both sides with a common base and equate exponents.
- Solving logarithmic equations
- Condense to a single log, exponentiate, then CHECK every solution — squaring and condensing can introduce values outside the domain.
- Extraneous solutions
- Values satisfying the transformed equation but not the original. Common with logs (negative arguments) and with squaring both sides.
- Inverse relationship of exp and log
- b^(log_b x) = x and log_b(b^x) = x. Their graphs are reflections across y = x, so the exponential's horizontal asymptote becomes the log's vertical one.
- Log-log plot
- Plotting log(y) against log(x) linearises a power function y = axⁿ, and the slope of that line is n.
- Compound interest
- A = P(1 + r/n)^(nt) for n compoundings per year; A = Pe^(rt) compounded continuously.
- Half-life and doubling time
- The constant time for a quantity to halve or double, independent of starting amount — the defining property of exponential change.
- Logistic model
- Growth that is nearly exponential at first and levels off at a carrying capacity, giving an S-shaped curve with an inflection point at half the capacity.
- Newton's law of cooling
- Temperature difference from the surroundings decays exponentially, so the object cools fastest when the difference is largest.
- Exponent rules
- b^m·b^n = b^(m+n), b^m/b^n = b^(m−n), (b^m)^n = b^(mn), b^(−n) = 1/b^n, b^0 = 1.
- Fractional exponents
- b^(m/n) is the nth root of b^m. Converting radicals to exponents makes the exponent rules available.
- Why the base cannot be negative
- A negative base would make b^(1/2) undefined over the reals, so exponential functions require b > 0.
- Transformations of exponentials
- y = a·b^(x − h) + k: k moves the horizontal asymptote, h shifts horizontally, and a reflects when negative.
- Natural log
- ln x is log base e. Its derivative properties make it the base of choice in calculus, and it obeys all the ordinary log rules.
- Common modeling error
- Fitting an exponential to data that only looks curved. Check whether ratios of successive outputs are constant before choosing the model.
- Residuals
- Observed minus predicted. A good model leaves residuals scattered randomly about zero; a pattern in the residuals means the model is the wrong shape.
- Interpreting model parameters in context
- In y = ab^t, a is the initial amount and b − 1 is the fractional change per unit time. Both need units and a sentence.
- Exponential vs power function
- In an exponential the variable is the exponent; in a power function it is the base. 2^x and x² behave completely differently for large x.
- Inverse of an exponential model
- Solving y = ab^t for t gives t = log(y/a)/log(b) — the function that answers "when does it reach this value".
What examiners penalize here
- For growth described by a doubling/halving time T, use base 2 (or 1/2) with exponent t/T. For a percent rate r per period, use base (1 + r). Matching the base and the exponent to the description is the graded step.
- Use the power rule to solve exponential equations: log(bˣ) = x·log b lets you pull the variable out of the exponent. Recognizing when to expand versus condense is what the free-response rubric rewards.
- Use the composition identity to simplify: e^(ln x) = x and log(10ˣ) = x. Spotting a function next to its inverse lets you collapse a messy expression in one step.
- Pick the log base that simplifies the work: natural log (ln) pairs with base e, common log with base 10, but log₃ 20 = log 20 / log 3 works for any base via the change-of-base formula. State the exact answer before rounding.
Practice Precalculus
Our practice bank is drawn from across the whole course rather than filtered to one unit, which is closer to how the exam asks anyway — it will not tell you which unit a question is testing.
Questions about this unit
How much of the AP Precalculus exam is Unit 2?
Unit 2, Exponential & Logarithmic Functions, is worth 27–40% of the Precalculus multiple-choice section according to the published course framework. Across all 4 units that makes it one of the heaviest units on the exam, and worth front-loading.
What topics are covered in Precalculus Unit 2?
Exponential & Logarithmic Functions covers Growth & decay, Log properties, Inverses and Modeling. We publish 30 terms with definitions for this unit, all of them on this page.
How should I study Precalculus Unit 2?
Read the 4 lessons below first — about 50 minutes — then drill the 30 terms in cram mode until you can produce each definition from memory rather than just recognize it. Recognition is what makes a unit feel finished when it is not. Finish with practice questions and read the explanation for every one you get right by elimination as well as the ones you miss.
All 4 units of AP Precalculus
Unit names, topics and exam weights follow the published College Board course framework for AP Precalculus. AP® is a trademark registered by the College Board, which does not endorse this site.