Derivative formulas are the building blocks of calculus—they're what you reach for every single time you need to find a rate of change, analyze a function's behavior, or solve an optimization problem. You're being tested not just on whether you can recall these formulas, but on whether you can recognize which rule applies and combine multiple rules in a single problem. The chain rule nested inside a product rule? That's where exams separate students who memorized from those who understood.
These formulas connect directly to bigger concepts: instantaneous rates of change, slope functions, optimization, and modeling real-world phenomena. When you see a growth model in statistics or a velocity function in physics, you're applying these exact rules. Don't just memorize the formulas—know when each one triggers and how they work together. That's what turns a tricky FRQ into points on the board.
Basic Building Blocks
These foundational rules handle the simplest cases and form the basis for everything else. Master these first, because every complex derivative breaks down into these components.
Power Rule
dxd(xn)=nxn−1—works for any real exponent, including negatives and fractions
Polynomial differentiation becomes trivial: bring down the exponent, reduce by one
Foundation for integration reversal—recognizing power rule patterns helps you antidifferentiate quickly
Constant Rule
dxd(c)=0—constants have no rate of change, so their derivative vanishes
Simplifies complex expressions by eliminating constant terms immediately
Conceptual meaning: a horizontal line has zero slope everywhere
Sum and Difference Rule
dxd[f(x)±g(x)]=f′(x)±g′(x)—differentiate each term independently
Linearity property allows you to break apart complicated expressions
Pairs with constant multiple rule: dxd[cf(x)]=c⋅f′(x) for any constant c
Compare: Power Rule vs. Constant Rule—both handle simple terms, but the power rule applies when there's a variable (xn), while the constant rule applies to pure numbers. If an FRQ gives you f(x)=3x4+7, you'll use both in the same problem.
Combination Rules
When functions are multiplied, divided, or composed, these rules tell you how to handle the interaction. The key insight: derivatives don't "distribute" over products and quotients the way you might hope.
Product Rule
dxd[f(x)g(x)]=f′(x)g(x)+f(x)g′(x)—"derivative of first times second, plus first times derivative of second"
Common mnemonic: if u and v are functions, then (uv)′=u′v+uv′
Watch for: problems where one factor is simpler (like x) make computation easier when you differentiate that one first
Quotient Rule
dxd[g(x)f(x)]=[g(x)]2f′(x)g(x)−f(x)g′(x)—"low d-high minus high d-low, over low squared"
Numerator order matters: subtraction isn't commutative, so getting this backwards flips your sign
Alternative approach: rewrite as f(x)⋅[g(x)]−1 and use product rule with chain rule instead
Chain Rule
dxd[f(g(x))]=f′(g(x))⋅g′(x)—differentiate outside, keep inside, then multiply by derivative of inside
Most commonly tested rule because it appears in nearly every non-trivial derivative problem
Nested applications: for f(g(h(x))), work from outside in, multiplying derivatives at each layer
Compare: Product Rule vs. Chain Rule—product rule handles f(x)⋅g(x) (two separate functions multiplied), while chain rule handles f(g(x)) (one function inside another). Misidentifying which structure you have is the most common derivative error on exams.
Exponential and Logarithmic Functions
These derivatives appear constantly in growth/decay models and statistical distributions. The natural base e has special properties that make these formulas elegant.
Natural Exponential Function
dxd(ex)=ex—the only function that is its own derivative
General exponential: dxd(ax)=axln(a) for any positive base a
Growth models in statistics (population, compound interest) rely on this self-replicating property
Natural Logarithm
dxd(lnx)=x1—valid only for x>0
General logarithm: dxd(logax)=xlna1
Inverse relationship: since lnx and ex are inverses, their derivatives are reciprocally related
Compare:ex vs. lnx—both involve the natural base, but ex is its own derivative while lnx gives x1. On FRQs involving logarithmic differentiation, you'll often use both: take ln of both sides, differentiate, then solve.
Trigonometric Functions
Trig derivatives follow cyclical patterns. Notice how sine and cosine derivatives cycle through each other, and how the "co-" functions always pick up a negative sign.
Sine and Cosine
dxd(sinx)=cosx and dxd(cosx)=−sinx—the negative appears on cosine's derivative
Cyclical pattern: differentiating four times returns you to the original function
Unit circle connection: derivative represents how fast the y-coordinate (sine) or x-coordinate (cosine) changes
Tangent, Secant, and Others
dxd(tanx)=sec2x—can be derived using quotient rule on cosxsinx
Compare:sinx vs. cosx derivatives—they're each other's derivatives (with a sign change for cosine). If you forget which gets the negative, remember: cos(0)=1 is a maximum, so its derivative must be zero there, and −sin(0)=0 ✓.
Inverse Trigonometric Functions
These derivatives look intimidating but follow predictable patterns. They appear frequently in integration problems and anywhere you're "undoing" a trig function.
Domain restriction matters: these derivatives blow up as x→±1
Arctangent
dxd(arctanx)=1+x21—defined for all real x
No square root in denominator makes this one easier to work with
Integration connection: recognizing 1+x21 as the derivative of arctanx is a common integration technique
Compare:arcsinx vs. arctanx derivatives—both have "1 over something" form, but arcsine has 1−x2 (restricted domain) while arctangent has 1+x2 (all real numbers). On multiple choice, the denominator structure tells you which inverse trig function you're dealing with.
Quick Reference Table
Concept
Key Formulas
Basic polynomial
Power Rule, Constant Rule, Sum/Difference Rule
Function combinations
Product Rule, Quotient Rule
Composite functions
Chain Rule
Exponential growth/decay
dxd(ex)=ex, dxd(ax)=axlna
Logarithmic
dxd(lnx)=x1
Basic trig
sinx→cosx, cosx→−sinx, tanx→sec2x
Inverse trig
arcsin, arccos use 1−x2; arctan uses 1+x2
Sign patterns
"Co-" functions (cos, cot, csc) have negative derivatives
Self-Check Questions
Which two rules would you combine to differentiate f(x)=ex2, and in what order do you apply them?
The derivatives of arcsinx and arccosx have the same denominator but opposite signs. Why does this make sense given the relationship between these two functions?
Compare and contrast the product rule and chain rule: give an example of a function requiring each, and explain how you identify which rule applies.
If dxd(sinx)=cosx, why does dxd(cosx) have a negative sign? (Hint: think about the graphs.)
An FRQ asks you to find the derivative of f(x)=exx2lnx. List all the derivative rules you'll need and describe your strategy for combining them.