Antiderivative
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In calculus, an antiderivative or primitive function of a given real valued function f is a function F whose derivative is equal to f, i.e., F′ = f. The process of solving for antiderivatives is antidifferentiation (or indefinite integration). Finding an expression for an antiderivative is harder than calculating a derivative, and may not always be possible. Antiderivatives are related to integrals through the fundamental theorem of calculus, and provide a convenient means for calculating the integrals of many functions.
Example
The function F(x) = x3/3 is an antiderivative of f(x) = x2. As the derivative of a constant is zero, x2 will have an infinite number of antiderivatives; such as (x3/3) + 0, (x3 / 3) + 7, (x3 / 3) − 36, etc. Thus, the antiderivative family of x2 is collectively referred to by F(x) = (x3 / 3) + C; where C is any constant. Essentially, the graphs of antiderivatives of a given function are vertical translations of each other; each graph's location depending upon the value of C.Uses and properties
Antiderivatives are important because they can be used to compute integrals, using the fundamental theorem of calculus: if F is an antiderivative of the integrable function f, then:
- [\int\limits_a^b f(x)\, dx = F(b) - F(a).]
- [\int f(x)\, dx.]
If F is an antiderivative of f, and the function f is defined on some interval, then every other antiderivative G of f differs from F by a constant: there exists a number C such that G(x) = F(x) + C for all x. C is called the arbitrary constant of integration. If the domain of F is a disjoint union of two or more intervals, then a different constant of integration may be chosen for each of the intervals. For instance
- [F(x)=\begin-\frac+C_1\quad x<0\\-\frac+C_2\quad x>0\end]
Every continuous function f has an antiderivative, and one antiderivative F is given by the integral of f with variable upper boundary:
- [F(x) = \int\limits_a^x f(t)\,dt.]
There are many functions whose antiderivatives, even though they exist, cannot be expressed in terms of elementary functions (like polynomials, exponential functions, logarithms, trigonometric functions, inverse trigonometric functions and their combinations). Examples of these are
- [\int e^\,dx,\qquad \int \frac\,dx,\qquad \int\frac\,dx.]
Techniques of integration
Finding antiderivatives is considerably harder than finding derivatives. We have various methods at our disposal:
- the linearity of integration allows us to break complicated integrals into simpler ones
- integration by substitution, often combined with trigonometric identities or the natural logarithm
- integration by parts to integrate products of functions
- the inverse chain rule method, a special case of integration by substitution
- the method of partial fractions in integration allows us to integrate all rational functions (fractions of two polynomials)
- the Risch algorithm
- integrals can also be looked up in a table of integrals
- when integrating multiple times, we can use certain additional techniques, see for instance double integrals and polar coordinates, the Jacobian and the Stokes theorem
- computer algebra systems can be used to automate some or all of the work involved in the symbolic techniques above, which is particularly useful when the algebraic manipulations involved are very complex or lengthy
- if a function has no elementary antiderivative (for instance, exp(x2)), its integral can be approximated using numerical integration
Antiderivatives of non-continuous functions
To illustrate some of the subtleties of the fundamental theorem of calculus, it is instructive to consider what kinds of non-continuous functions might have antiderivatives. While there are still open questions in this area, it is known that:
- Some highly pathological functions with large sets of discontinuities may nevertheless have antiderivatives.
- In some cases, the antiderivatives of such pathological functions may be found by Riemann integration, while in other cases these functions are not Riemann integrable.
- A necessary, but not sufficient, condition for a function f to have an antiderivative is that f have the intermediate value property. That is, if [a,b] is a subinterval of the domain of f and d is any real number between f(a) and f(b), then f(c)=d for some c between a and b. To see this, let F be an antiderivative of f and consider the continuous function g(x)=F(x)-dx on the closed interval [a, b]. Then g must have either a maximum or minimum c in the open interval (a,b) and so 0=g′(c)=f(c)-d.
- The set of discontinuities of f must be a meagre set. This set must also be an F-sigma set (since the set of discontinuities of any function must be of this type). Moreover for any meagre F-sigma set, one can construct some function f having an antiderivative, which has the given set as its set of discontinuities.
- If f has an antiderivative, is bounded on closed finite subintervals of the domain and has a set of discontinuities of Lebesgue measure 0, then an antiderivative may be found by integration.
- If f has an antiderivative F on a closed interval [a,b], then for any choice of partition [a=x_0
mean value theorem, then the corresponding Riemann sum telescopes to the value F(b)-F(a). - [\sum_^n f(x_i^*)(x_i-x_) = \sum_^n [F(x_i)-F(x_)] = F(x_n)-F(x_0) = F(b)-F(a)]
Some examples
- The function
- f(x) = 2x sin (1/x) - cos(1/x)
- The function
- [f(x)=2x\sin\left(\frac\right)-\frac\cos\left(\frac\right)]
- [F(x)=x^2\sin\left(\frac\right)]
- If f(x) is the function in Example 1 and F is its antiderivative, and [\_] is a dense countable subset of the open interval (-1,1), then the function
- [g(x)=\sum_^\infty \frac]
- [G(x)=\sum_^\infty \frac.]
- Let [\_] be a dense countable subset of the open interval (-1,1). Consider the everywhere continuous strictly increasing function
- [F(x)=\sum_^\infty\frac(x-x_n)^.]
- [F'(x)=\sum_^\infty\frac(x-x_n)^]
for all values x where the series converges, and that the graph of F(x) has vertical tangent lines at all other values of x. In particular the graph has vertical tangent lines at all points in the set [\_]. Moreover F′(x)>0 for all x where the derivative is defined. It follows that the inverse function [G=F^] is differentiable everywhere and that [g(x)=G'(x)=0] for all x in the set [\_] which is dense in the interval [F(-1),F(1)]. Thus g has an antiderivative G. On the other hand, it can not be true that- [\int_^g(x)\,dx=GF(1)-GF(-1)=2,]
- In Examples 3 and 4, the sets of discontinuities of the functions g are dense only in a finite open interval (a,b). However these examples can be easily modified so as to have sets of discontinuities which are dense on the entire real line [(-\infty,\infty)]. Let
- [\lambda(x) = \frac + \frac\tan^(x)]
- Using a similar method as in Example 5, one can modify g in Example 4 so as to vanish at all rational numbers. If one uses a naive version of the Riemann integral defined as the limit of left-hand or right-hand Riemann sums over regular partitions, one will obtain that the integral of such a function g over an interval [a,b] is 0 whenever a and b are both rational, instead of G(b)-G(a). Thus the fundamental theorem of calculus will fail spectacularly.
References
- Introduction to Classical Real Analysis, by Karl R. Stromberg; Wadsworth, 1981 (see [also])
- Historical Essay On Continuity Of Derivatives, by Dave L. Renfro; http://groups.google.com/group/sci.math/msg/814be41b1ea8c024
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