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11.1.1. Antiderivatives
Table of Contents
An antiderivative is a function whose derivative is a given function. In the context of indefinite integrals, antiderivatives are the objects we are trying to find.
More precisely, given a function $f$, a function $F$ is called an antiderivative (or primitive) of $f$ on an interval if
$$
F'(x) = f(x) \quad \text{for all } x \text{ in the interval.}
$$
If $F$ is one antiderivative of $f$, then every other antiderivative of $f$ on the same interval has the form
$$
F(x) + C,
$$
where $C$ is a constant. This is why indefinite integrals include a constant of integration.
Using the integral notation, the family of all antiderivatives of $f$ is written as
$$
\int f(x)\,dx = F(x) + C.
$$
Here:
- $f(x)$ is called the integrand.
- $dx$ indicates the variable of integration.
- $F(x)$ is any one antiderivative of $f(x)$.
- $C$ is an arbitrary constant.
Because differentiation “loses” constant terms (the derivative of any constant is $0$), antiderivatives are determined only up to an added constant.
In practice, “finding an antiderivative” of $f(x)$ means finding at least one function $F(x)$ such that $F'(x)=f(x)$, and then writing the general form $F(x)+C$.
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- ☰ 1. Foundations of Mathematics
- ☰ 1.1. What Is Mathematics
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- ☰ 2. Arithmetic
- ☰ 2.1. Basic Operations
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- ☰ 2.3.1. Decimal notation
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- ☰ 2.4. Powers and Roots
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- ☰ 3.1. Variables and Expressions
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- ☰ 3.3. Inequalities
- ☰ 3.3.1. Solving inequalities
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- ☰ 3.4. Coordinate Plane
- ☰ 3.4.1. Cartesian coordinates
- ☰ 3.4.2. Plotting points
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- ☰ 3.5. Introduction to Functions
- ☰ 3.5.1. Input–output concept
- ☰ 3.5.2. Function notation
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- ☰ 4.1. Linear Functions
- ☰ 4.1.1. Slope
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- ☰ 4.2. Systems of Linear Equations
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- ☰ 4.3. Polynomials
- ☰ 4.3.1. Polynomial terms
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- ☰ 4.4. Factoring
- ☰ 4.4.1. Common factors
- ☰ 4.4.2. Quadratic factoring
- ☰ 4.4.3. Special products
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- ☰ 4.5.1. Factoring method
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- ☰ 4.5.3. Quadratic formula
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- ☰ 5. Algebra II
- ☰ 5.1. Polynomial Functions
- ☰ 5.1.1. Degree and behavior
- ☰ 5.1.2. Zeros of functions
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- ☰ 5.2. Rational Functions
- ☰ 5.2.1. Domain
- ☰ 5.2.2. Asymptotes
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- ☰ 5.3. Exponential Functions
- ☰ 5.3.1. Growth
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- ☰ 5.4. Logarithms
- ☰ 5.4.1. Logarithmic laws
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- ☰ 5.5. Complex Numbers
- ☰ 5.5.1. Imaginary unit
- ☰ 5.5.2. Operations with complex numbers
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- ☰ 6. Geometry
- ☰ 6.1. Points, Lines, and Angles
- ☰ 6.1.1. Angle types
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- ☰ 6.2. Triangles
- ☰ 6.2.1. Classification
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- ☰ 6.5.1. Area formulas
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- ☰ 7. Trigonometry
- ☰ 7.1. Angles and Radians
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- ☰ 7.2. Trigonometric Ratios
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- ☰ 7.5.1. Pythagorean identities
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- ☰ 8. Analytic Geometry
- ☰ 8.1. Conic Sections
- ☰ 8.1.1. Parabolas
- ☰ 8.1.2. Ellipses
- ☰ 8.1.3. Hyperbolas
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- ☰ 8.2. Parametric Equations
- ☰ 8.2.1. Parametric curves
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- ☰ 8.3. Polar Coordinates
- ☰ 8.3.1. Polar graphing
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- ☰ 8.4. Vectors in the Plane
- ☰ 8.4.1. Vector addition
- ☰ 8.4.2. Dot product
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- ☰ 9. Precalculus
- ☰ 9.1. Function Analysis
- ☰ 9.1.1. Domain and range
- ☰ 9.1.2. Monotonicity
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- ☰ 9.2. Composite and Inverse Functions
- ☰ 9.2.1. Function composition
- ☰ 9.2.2. Inverse functions
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- ☰ 9.3. Limits
- ☰ 9.3.1. Intuitive idea
- ☰ 9.3.2. One-sided limits
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- ☰ 10. Calculus – Differential Calculus
- ☰ 10.1. Limits and Continuity
- ☰ 10.1.1. Formal limits
- ☰ 10.1.2. Continuity
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- ☰ 10.2. Derivatives
- ☰ 10.2.1. Definition
- ☰ 10.2.2. Differentiation rules
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- ☰ 10.3. Applications of Derivatives
- ☰ 10.3.1. Optimization
- ☰ 10.3.2. Related rates
- ☰ 10.3.3. Curve sketching
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- ☰ 11. Calculus – Integral Calculus
- ☰ 11.1. Indefinite Integrals
- ☰ 11.1.1. Antiderivatives
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- ☰ 11.2. Definite Integrals
- ☰ 11.2.1. Riemann sums
- ☰ 11.2.2. Fundamental theorem of calculus
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- ☰ 11.3. Applications of Integrals
- ☰ 11.3.1. Area
- ☰ 11.3.2. Volume
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- ☰ 12. Linear Algebra
- ☰ 12.1. Vectors and Matrices
- ☰ 12.1.1. Vector operations
- ☰ 12.1.2. Matrix operations
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- ☰ 12.2. Determinants
- ☰ 12.2.1. Properties of determinants
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- ☰ 12.3. Eigenvalues and Eigenvectors
- ☰ 12.3.1. Diagonalization
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- ☰ 13. Probability and Statistics
- ☰ 13.1. Probability Basics
- ☰ 13.1.1. Sample spaces
- ☰ 13.1.2. Events
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- ☰ 13.2. Random Variables
- ☰ 13.2.1. Discrete variables
- ☰ 13.2.2. Continuous variables
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- ☰ 13.3. Probability Distributions
- ☰ 13.3.1. Binomial distribution
- ☰ 13.3.2. Normal distribution
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- ☰ 13.4. Descriptive Statistics
- ☰ 13.4.1. Mean
- ☰ 13.4.2. Variance
- ☰ 13.4.3. Standard deviation
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- ☰ 13.5. Inferential Statistics
- ☰ 13.5.1. Confidence intervals
- ☰ 13.5.2. Hypothesis testing
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- ☰ 14. Discrete Mathematics
- ☰ 14.1. Logic and Proof
- ☰ 14.1.1. Propositions
- ☰ 14.1.2. Logical equivalence
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- ☰ 14.2. Combinatorics
- ☰ 14.2.1. Permutations
- ☰ 14.2.2. Combinations
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- ☰ 14.3. Graph Theory
- ☰ 14.3.1. Trees
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- ☰ 15. Differential Equations
- ☰ 15.1. First-Order Differential Equations
- ☰ 15.1.1. Separation of variables
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- ☰ 15.2. Second-Order Differential Equations
- ☰ 15.2.1. Homogeneous equations
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- ☰ 16. Number Theory
- ☰ 16.1. Divisibility and Primes
- ☰ 16.1.1. Prime factorization
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- ☰ 16.2. Modular Arithmetic
- ☰ 16.2.1. Congruences
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- ☰ 17. Mathematical Proofs
- ☰ 17.1. Proof Techniques
- ☰ 17.1.1. Direct proof
- ☰ 17.1.2. Proof by contradiction
- ☰ 17.1.3. Mathematical induction
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- ☰ 17.2. Writing Proofs
- ☰ 17.2.1. Structure
- ☰ 17.2.2. Clarity
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