Characterizing Near-Constant Functions in Discrete Product Spaces

In summary: In the product space N^N, the near-constant functions are dense. That is, for every point f in N^N, there is a neighborhood U of f that contains only near-constant functions. 2) If the set of monotonic increasing functions were open, then every monotonically increasing function would have an open neighborhood that consists only of monotonic increasing functions. However if U is such a neighborhood of a monotonically increasing function f, then U is \mathbb{R} at all points except for finitely many. Thus you can choose a function g in U that is not monotonically increasing by choosing a sufficiently small value at one of the points where U is \
  • #1
WannaBe22
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[Topology] Product Spaces :(

Homework Statement



1. Show that in the product space [tex]N^N[/tex] where the topology on N is discrete, the set of near-constant functions is dense (near constant function is a function that becomes constant from a specific index..)...

2. Prove that in [tex]R^I[/tex] the set of monotonic increasing functions is not open.

Homework Equations


The Attempt at a Solution



I've no idea how to start thinking of these questions...

I'll be delighted to receive some guidance

Thanks in advance
 
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  • #2


1) A set is dense if its closure is the whole space. That is, if for every point [itex]f \in \mathbb{N}^\mathbb{N}[/itex] every neighborhood of f intersects the set, but it's sufficient to consider all subbasis elements containing f since all other open neighborhoods can be formed with intersections and unions of these. Let D denote the set of near-constant functions and consider an element [itex]f \in \mathbb{N}^\mathbb{N}[/itex]. Consider a subbasis element U that contains f. Its nth component is [itex]\mathbb{N}[/itex] except for at one index k. Now define,
[tex]g(x) = \begin{cases} f(x) & \textrm{if }x = k \\ 0 & \textrm{otherwise} \end{cases}[/tex]
Then, g is in D and in the neighborhood U of f.

2) If the set of monotonic increasing functions were open then, then every monotonically increasing function would have an open neighborhood that consists only of monotonic increasing functions. However if U is such a neighborhood of a monotonically increasing function f, then U is [itex]\mathbb{R}[/itex] at all points except for finitely many. Thus you can choose a function g in U that is not monotonically increasing by choosing a sufficiently small value at one of the points where U is [itex]\mathbb{R}[/itex]. For instance if U is [itex]\mathbb{R}[/itex] at [itex]m > 0[/itex], then consider,
[tex]g(x) = \begin{cases} f(0)-1 & \textrm{if }x=m \\ f(x) & \textrm{otherwise} \end{cases}[/tex]
 
  • #3


Thanks a lot! You're very helpful!
 

1. What is a product space in topology?

A product space in topology is a mathematical structure that is formed by taking the Cartesian product of two or more topological spaces. It is a way of combining the individual spaces to create a new space with its own topology.

2. How is a product space different from a Cartesian product?

While a product space is formed by taking the Cartesian product of topological spaces, it also includes the topology of the individual spaces. This means that the product space has more information and structure than just the Cartesian product, making it a more powerful mathematical tool.

3. What are some examples of product spaces?

Some examples of product spaces include the product topology on a product of two or more topological spaces, the box topology on a product of two or more topological spaces, and the uniform topology on a product of two or more metric spaces.

4. How are open sets defined in a product space?

In a product space, open sets are defined as sets that can be written as the union of products of open sets from the individual spaces. This definition allows for the product space to inherit the topologies of the individual spaces.

5. What is the significance of product spaces in mathematics?

Product spaces are important in mathematics because they provide a way of combining different mathematical structures to create new, more complex structures. They also allow for the study of product spaces in different areas of mathematics, such as algebraic topology and differential geometry.

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