A

Antiderivative — A function F(x) such that F'(x) = f(x). Also called the indefinite integral. Example: x³/3 is an antiderivative of x².

Asymptote — A line that a curve approaches but never reaches. Horizontal asymptotes describe behaviour as x → ±∞; vertical asymptotes occur where functions blow up.

Average Rate of Change — [f(b) − f(a)] / (b − a). The slope of the secant line. As the interval shrinks to zero, this becomes the derivative.

C

Chain Rule — d/dx[f(g(x))] = f'(g(x)) · g'(x). Used to differentiate composite functions.

Concavity — f is concave up where f'' > 0, concave down where f'' < 0.

Continuity — f is continuous at a if lim(x→a) f(x) = f(a). No breaks, jumps, or holes.

Critical Point — Where f'(x) = 0 or f'(x) is undefined. Candidates for local maxima and minima.

D

Definite Integral — ∫ₐᵇ f(x) dx. The signed area under f between a and b. Equals F(b) − F(a).

Derivative — The instantaneous rate of change. f'(x) = lim(h→0) [f(x+h)−f(x)]/h.

Differentiable — f is differentiable at a if f'(a) exists. Differentiability implies continuity.

E

e — Euler's number ≈ 2.71828. The unique base where d/dx[eˣ] = eˣ.

Epsilon-Delta — The formal definition of a limit. lim f(x) = L if for every ε > 0 there exists δ > 0 such that |f(x)−L| < ε whenever 0 < |x−a| < δ.

F

Fundamental Theorem of Calculus — Part 1: d/dx[∫ₐˣ f(t)dt] = f(x). Part 2: ∫ₐᵇ f(x)dx = F(b)−F(a).

I

Implicit Differentiation — Differentiating both sides with respect to x when y is not isolated, using the chain rule on y terms.

Inflection Point — Where concavity changes; f''(x) = 0 and changes sign.

L

Limit — lim(x→a) f(x) = L means f(x) → L as x → a. The foundation of calculus.

Local Maximum — f(a) ≥ f(x) for all x near a. Requires f'(a) = 0 and f''(a) < 0.

M

Mean Value Theorem — There exists c ∈ (a,b) where f'(c) = [f(b)−f(a)]/(b−a).

P

Product Rule — d/dx[f·g] = f'g + fg'.

Quotient Rule — d/dx[f/g] = (f'g − fg') / g².

R

Riemann Sum — An approximation of ∫ₐᵇ f(x)dx using rectangles. The integral is the limit as rectangles become infinitely thin.

Related Rates — Problems where two changing quantities are linked; the chain rule connects their rates.

T

Tangent Line — Touches a curve at one point with slope f'(a): y − f(a) = f'(a)(x−a).

Taylor Series — Σ f⁽ⁿ⁾(a)/n! · (x−a)ⁿ. Represents a function as an infinite polynomial.

U

U-Substitution — Integration technique: let u = g(x), du = g'(x)dx, then ∫f(g(x))g'(x)dx = ∫f(u)du.

Notation Quick Reference

Calculus uses notation from multiple traditions. Newton used dots (ẋ for velocity, ẍ for acceleration). Leibniz used d/dx and ∫. Both notations are still in use. Understanding both is essential:

f'(x) = dy/dx = Df(x) — all mean the derivative of f f''(x) = d²y/dx² — second derivative ∫f(x)dx — indefinite integral (antiderivative) ∫ₐᵇ f(x)dx — definite integral from a to b lim(x→a) f(x) — limit as x approaches a Σ aₙ — sum of the sequence aₙ

More Essential Terms

Antiderivative — F(x) where F'(x) = f(x). Written ∫f(x)dx = F(x)+C.

Chain Rule — d/dx[f(g(x))] = f'(g(x))·g'(x). For composite functions.

Critical Point — x-value where f'(x) = 0 or f'(x) is undefined. Candidates for extrema.

Concavity — Concave up when f'' > 0 (bowl shape), concave down when f'' < 0 (arch shape).

Continuity — f is continuous at a if lim(x→a)f(x) = f(a). No gaps or jumps.

Divergence — A series or sequence that does not converge. Its partial sums grow without bound or oscillate.

Domain — The set of all x-values for which f(x) is defined.

Implicit Differentiation — Differentiating both sides of an equation with respect to x when y is not isolated.

Inflection Point — Where concavity changes; f''(c) = 0 and f'' changes sign at c.

L'Hôpital's Rule — If lim f/g gives 0/0 or ∞/∞, then lim f/g = lim f'/g'.

Local Maximum — f(a) ≥ f(x) for all x near a. The top of a local hill.

Monotonic — Always increasing (f' ≥ 0) or always decreasing (f' ≤ 0) on an interval.

Partial Derivative — ∂f/∂x: derivative of a multivariable function treating all other variables as constants.

Power Rule — d/dx[xⁿ] = nxⁿ⁻¹. The most used differentiation rule.

Product Rule — d/dx[f·g] = f'g + fg'. For products of two functions.

Quotient Rule — d/dx[f/g] = (f'g − fg')/g². For fractions where both parts depend on x.

Radius of Convergence — The value R such that a power series converges for |x−a| < R and diverges for |x−a| > R.

Related Rates — Problems connecting rates of change of two linked quantities using implicit differentiation.

Squeeze Theorem — If g(x) ≤ f(x) ≤ h(x) near a and lim g = lim h = L, then lim f = L.

Taylor Series — f(x) = Σ f⁽ⁿ⁾(a)/n! · (x−a)ⁿ. Represents a function as an infinite polynomial.

U-Substitution — Integration technique reversing the chain rule: let u = g(x), du = g'(x)dx.

Velocity — v(t) = ds/dt. The derivative of position with respect to time.

AM
Dr. Aisha Malik, PhD Mathematics
Senior Lecturer in Applied Mathematics · 12 years teaching calculus
Dr. Malik holds a PhD in Applied Mathematics from the University of Edinburgh and has taught calculus to over 4,000 students. She has reviewed this article for mathematical accuracy and pedagogical clarity.
Technically reviewed by: Prof. James Chen, Stanford Mathematics Department · April 2026