- Simple function
In mathematical field of
real analysis , a simple function is a real-valued function over a subset of thereal line which attains only a finite number of values. Some authors also require simple functions to be measurable; as used in practice, they invariably are.A basic example of a simple function is the
floor function over the half-open interval [1,9), whose only values are {1,2,3,4,5,6,7,8}. A more advanced example is theDirichlet function over the real line, which takes the value 1 if "x" is rational and 0 otherwise. (Thus the "simple" of "simple function" has a technical meaning somewhat at odds with common language.)Simple functions are used as a first stage in the development of theories of integration, such as the
Lebesgue integral , because it is very easy to create a definition of an integral for a simple function, and also, it is straightforward to approximate more general functions by sequences of simple functions.Definition
Formally, a simple function is a finite
linear combination ofindicator function s ofmeasurable set s. More precisely, let ("X", Σ) be a measurable space. Let "A"1, ..., "A""n" ∈ Σ be asequence of measurable sets, and let "a"1, ..., "a""n" be a sequence of real orcomplex number s. A "simple function" is a function of the form:
Properties of simple functions
By definition, sum, difference, and product of two simple functions is again a simple function,as well multiplication by constant, hence it follows that the collection of all simple functions forms a commutative algebra over the complex field.
For the development of a theory of integration, the following result is important.Any non-negative
measurable function isthepointwise limit of a monotonic increasing sequence of non-negative simple functions.Indeed, let be a non-negative measurable function defined over a measurespace . For each ,we subdivide the range of into intervalsof length . We set for and . We define the measurable sets for .Then the increasing sequence of simple functionsconverges pointwise to as .Note that when is bounded the convergence is uniform.
Integration of simple functions
If a measure μ is defined on the space ("X",Σ), the integral of "f" with respect to μ is
:if all summands are finite.
References
*J. F. C. Kingman, S. J. Taylor. "Introduction to Measure and Probability", 1966, Cambridge.
*S. Lang. "Real and Functional Analysis", 1993, Springer-Verlag.
*W. Rudin. "Real and Complex Analysis", 1987, McGraw-Hill.
*H. L. Royden. "Real Analysis", 1968, Collier Macmillan.
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