Limit
The value that a function approaches as the input approaches some value. Foundation of differential and integral calculus.
Read More →The study of continuous change. The mathematics of motion, growth, and accumulation.
The value that a function approaches as the input approaches some value. Foundation of differential and integral calculus.
Read More →A function is continuous if small changes in input result in small changes in output. No breaks, jumps, or holes in the graph.
Understanding limits at infinity and infinite limits. Essential for analyzing function behavior over large domains.
Measures the rate at which a function changes at a given point. Represents the slope of the tangent line to a curve.
Read More →Power rule, product rule, quotient rule, and chain rule. Essential techniques for finding derivatives efficiently.
Technique for finding derivatives when y is not explicitly defined as a function of x. Used for curves and relations.
Optimization, related rates, curve sketching, and motion problems. Real-world applications of differential calculus.
Second, third, and nth derivatives. Applications to acceleration, concavity, and Taylor series.
A mathematical object that can be interpreted as an area or a generalization of area. Fundamental to calculus and analysis.
Represents the signed area under a curve between two points. Evaluated using the Fundamental Theorem of Calculus.
The antiderivative of a function. A family of functions whose derivative is the original function.
Substitution, integration by parts, partial fractions, and trigonometric integrals. Methods for evaluating complex integrals.
Areas, volumes, arc lengths, work, and centroids. Real-world problems solved using integral calculus.
An equation involving derivatives of a function. Models rates of change in physics, engineering, and biology.
First-order equations where variables can be separated. Solved by integrating each side independently.
Equations linear in the unknown function and its derivatives. Solved using integrating factors or characteristic equations.
Equations involving second derivatives. Essential for modeling oscillations, vibrations, and electrical circuits.
Infinite sums and their convergence. Foundation for power series, Taylor series, and Fourier analysis.
Tests for determining if a series converges or diverges: comparison, ratio, root, and integral tests.
Infinite series of the form Σaₙ(x-c)ⁿ. Used to represent functions as infinite polynomials with radius of convergence.
Representation of a function as an infinite sum of terms calculated from its derivatives at a single point.
Derivatives of multivariable functions with respect to one variable while holding others constant.
Double and triple integrals for functions of several variables. Used to compute volumes, mass, and centroids.
A vector of partial derivatives pointing in the direction of steepest ascent. Essential for optimization.
Line integrals, surface integrals, divergence, curl, and Stokes' theorem. Essential for physics and engineering.