Continuous Map to Single Point: Clarifying Confusion

In summary, the map sending all of ℝ^n into a single point of ℝ^m is continuous, even though a single point of R^m isn't an open set. This concept can be a bit confusing, so hopefully this explanation makes sense.
  • #1
dapias09
29
0
Hi all,

I need help with a paragraph of my book that I don't understand. It says: "the map sending all of ℝ^n into a single point of ℝ^m is an example showing that a continuous map need not send open sets into open sets".

My confusion arising because I can't figure out how this map can be continuous, since the definition is:
" a map is continuous if the inverse image of an open set of the range is an open set". In this case it seems that a single point of R^m isn't an open set, so how can we talk about continuity?

Thanks in advance.

Diego.
 
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  • #2
dapias09 said:
Hi all,

I need help with a paragraph of my book that I don't understand. It says: "the map sending all of ℝ^n into a single point of ℝ^m is an example showing that a continuous map need not send open sets into open sets".

My confusion arising because I can't figure out how this map can be continuous, since the definition is:
" a map is continuous if the inverse image of an open set of the range is an open set". In this case it seems that a single point of R^m isn't an open set, so how can we talk about continuity?

Thanks in advance.

Diego.
Let f be such a map. Say f(x) = p. If Y is an open set in ℝ^m, what is its inverse image under Y? Consider two cases:

a) p is an element of Y. Then the inverse image of X is all of ℝ^n, which is open.

b) p is not an element of Y. Then the inverse image of Y is the empty set, which is open.

Either way, the inverse image of an open set is open.
 
  • #3
The inverse image of open sets in R^m is open. The image of open sets in R^n is a single point - therefore closed.

An open set in R^m that does not contain the single point has an empty inverse image. The empty set is open.

An open set that does contain the single point has inverse image all of R^n. R^n is also open. So the map is continuous.
 
  • #4
Thank you,

SteveL27 and lavinia.
I got it.
 
  • #5


Hi Diego,

I can understand your confusion about the statement in your book. Let me try to clarify it for you. First, let's define what a continuous map is. A continuous map is a function between two topological spaces, where the inverse image of an open set in the range is an open set in the domain. In other words, if we have an open set U in the range, the preimage of U in the domain must also be an open set.

Now, let's consider the example given in your book - a map that sends all points in the n-dimensional real space ℝ^n to a single point in the m-dimensional real space ℝ^m. This map is continuous because the preimage of any open set in ℝ^m (which is just a single point) is an open set in ℝ^n (which can be any open set containing that single point). So, even though the range of this map is a single point, it still satisfies the definition of continuity.

I hope this helps clarify your confusion. Let me know if you have any further questions.

Best,
 

1. What does "Continuous Map to Single Point" mean?

Continuous Map to Single Point is a mathematical concept that refers to a function, or map, that takes a continuous set of values and maps them to a single point. This means that the function takes in a range of values and produces a single, specific output.

2. How is "Continuous Map to Single Point" different from other types of maps?

Continuous Map to Single Point is different from other types of maps, such as continuous maps to intervals or to sets, because it specifically maps a continuous set of values to a single point. This means that the output of the function will always be a single, specific value rather than a range or set of values.

3. Can you give an example of a "Continuous Map to Single Point"?

An example of a Continuous Map to Single Point is the function f(x) = x^2. This function takes in a continuous range of values, such as all real numbers, and maps them to a single point on the graph, such as (0,1). This means that no matter what value is input, the output will always be a single point on the graph.

4. What is the purpose of "Continuous Map to Single Point" in mathematics?

In mathematics, Continuous Map to Single Point is used to simplify and clarify complex functions and equations. By mapping a continuous set of values to a single point, it allows for easier analysis and understanding of the function and its properties. It is also useful in applications such as data compression and signal processing.

5. How does "Continuous Map to Single Point" relate to the concept of continuity?

Continuous Map to Single Point is closely related to the concept of continuity in mathematics. A function is considered continuous if it has no breaks or gaps in its graph. A Continuous Map to Single Point ensures that the output of the function is always a single, specific value, which is a key aspect of continuity. This means that a Continuous Map to Single Point is a continuous function.

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