Are Simple Functions Dense in Bounded Borel Functions on a Compact Space?

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B by showing that for any bounded borel function f on K, there exists a sequence of simple functions that converge to f in the supremum norm. This can be done by approximating f with a piecewise constant function that takes only a finite number of values, and then using a partition of the compact space K to construct a sequence of simple functions that converges to f in the supremum norm. In summary, simple functions are dense in B.
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Fermat1
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Let K be a compact space and let B be the space of bounded borel functions on K equipped with the supremum norm. Show that simple functions (i.e. functions attaining only a finite number of values) are dense in B.

Thanks
 
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  • #2
Fermat said:
Let K be a compact space and let B be the space of bounded borel functions on K equipped with the supremum norm. Show that simple functions (i.e. functions attaining only a finite number of values) are dense in B.

Thanks

Hi Fermat,

Please make an effort and show us what you've done.

Thanks.
 
  • #3
I know I need to show $||f_{n}-f||->0$ where the $f_{n}$ are simple but I don't know where to start
 
  • #5
for bringing up this topic. Simple functions are indeed dense in the space of bounded Borel functions on a compact space. This means that any bounded Borel function on a compact space can be approximated by a sequence of simple functions.

To prove this, let f be a bounded Borel function on K. Since K is compact, f is also bounded. By the definition of boundedness, there exists a constant M such that |f(x)| ≤ M for all x∈K.

Now, consider the set of all possible values that f can take on K, denoted by V = {f(x) | x∈K}. Since f is bounded, V is a finite set. Let n be the cardinality of V.

Next, let ε > 0 be given. We will construct a simple function g such that ||f - g|| < ε.

Consider the partition P = {A1, A2, ..., An} of K, where Ai = {x∈K | f(x) = vi}, i=1,2,...,n. In other words, each Ai contains all the points in K where f takes on the value vi.

Now, define g as follows: g(x) = vi for all x∈Ai. In other words, g is a constant function on each Ai. Since f is bounded, g is also bounded and attains only a finite number of values, making it a simple function.

We claim that ||f - g|| < ε. To prove this, let x∈K be arbitrary. If x∈Ai for some i, then |f(x) - g(x)| = |f(x) - vi| = 0 < ε. If x∉Ai for all i, then x∈Aj for some j≠i. In this case, |f(x) - g(x)| = |f(x) - vj| ≤ M < ε.

Thus, for any x∈K, we have |f(x) - g(x)| < ε, which implies that ||f - g|| < ε. This shows that g is an ε-approximation of f and hence, simple functions are dense in B.

This result is important in many areas of mathematics, especially in functional analysis and measure theory. It allows us to approximate more complicated functions by simpler ones, making it easier to study and analyze
 

FAQ: Are Simple Functions Dense in Bounded Borel Functions on a Compact Space?

What does it mean for simple functions to be dense?

When we say that simple functions are dense, it means that they can approximate any measurable function on a given interval. This means that for any measurable function, we can find a sequence of simple functions that converges to it on that interval.

Why is the concept of simple functions being dense important in mathematics?

The concept of simple functions being dense plays a crucial role in analysis, particularly in measure theory. It allows us to approximate more complex functions with simpler ones, which can make certain calculations and proofs easier to handle.

How do we prove that simple functions are dense?

To prove that simple functions are dense, we typically use the Lusin's theorem or the Egorov's theorem. These theorems provide conditions under which a sequence of simple functions can converge to a measurable function on a given interval.

Are there any limitations to simple functions being dense?

While simple functions are dense in theory, there are some practical limitations. For example, finding the sequence of simple functions that converges to a given measurable function can be challenging, and the convergence may not be uniform. In these cases, we may need to use other techniques such as the Stone-Weierstrass theorem.

Can we generalize the concept of simple functions being dense to other mathematical structures?

Yes, the concept of density can be applied to other mathematical structures, such as polynomials, trigonometric functions, and even entire spaces. In these cases, we use different definitions of convergence and different theorems to prove density. However, the principle remains the same – we can approximate more complex functions or structures with simpler ones.

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