Section 1: Integration Techniques - 1: Review of Antiderivatives
A function F(x) is an antiderivative of f(x) if F′(x)=f(x). Finding antiderivatives, or indefinite integration, is the reverse process of differentiation, symbolized by the integral sign: ∫f(x)dx=F(x)+C. The constant of integration C is crucial, representing the infinite family of functions differing by a constant that all share the same derivative.
Mastering basic antiderivative formulas is essential. Recall these fundamental results:
- Power Rule (for n=−1): ∫xndx=n+1xn+1+C
- Exponential Functions:
∫exdx=ex+C,
∫axdx=lnaax+C (a>0, a=1)
- Reciprocal: ∫x1dx=ln∣x∣+C
- Trigonometric Functions:
- ∫sin(x)dx=−cos(x)+C
- ∫cos(x)dx=sin(x)+C
- ∫sec2(x)dx=tan(x)+C
- ∫csc2(x)dx=−cot(x)+C
- ∫sec(x)tan(x)dx=sec(x)+C
- ∫csc(x)cot(x)dx=−csc(x)+C
- Hyperbolic Functions:
∫cosh(x)dx=sinh(x)+C,
∫sinh(x)dx=cosh(x)+C
- Constants: ∫kdx=kx+C (k constant)
Integration is linear. This means you can integrate term-by-term and pull constants outside the integral:
∫[c⋅f(x)±g(x)]dx=c⋅∫f(x)dx±∫g(x)dx (where c is a constant).
The Fundamental Theorem of Calculus, Part 1 links antiderivatives directly to definite integrals. If F(x) is an antiderivative of f(x) (i.e., F′(x)=f(x)) and f(x) is continuous on [a,b], then:
∫abf(x)dx=F(b)−F(a)
This theorem transforms the problem of evaluating the net area under a curve into finding an antiderivative and computing a difference. Always verify the function is continuous over the interval.