Proving Continuity in Metric Spaces | Sequential Characterisation of Continuity

  • Thread starter Thread starter Ted123
  • Start date Start date
  • Tags Tags
    Metric
Click For Summary

Homework Help Overview

The discussion revolves around proving continuity in metric spaces, specifically through the sequential characterization of continuity. Participants are exploring the continuity of functions defined in terms of compositions and products of other continuous functions.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the implications of the sequential characterization of continuity and how to apply it to specific functions. They explore the continuity of composite functions and the relationship between sums and products in the context of continuity.

Discussion Status

There is an ongoing exploration of how to demonstrate the continuity of certain functions, with some participants suggesting methods involving logarithmic and exponential functions. The discussion includes attempts to clarify the relationships between these functions and their compositions.

Contextual Notes

Participants are considering the conditions under which functions must be strictly positive to ensure continuity, as well as the implications of continuity in the context of compositions of functions.

Ted123
Messages
428
Reaction score
0
ih87l0.jpg


The sequential characterisation of continuity says that [itex]f[/itex] is continuous at [itex]x_0[/itex] if and only if for every sequence [itex](x_n)_{n\in\mathbb{N}}[/itex] in [itex]X[/itex], [itex]f(x_n)\to f(x_0)[/itex] as [itex]x_n \to x_0[/itex]. [itex]f[/itex] is continuous on [itex]X[/itex] if this is the case for all [itex]x_0 \in X[/itex].

I think I've done all the parts of this question up to the last 2 parts.

For part (b) is this right:

Suppose [itex](x_n)_{n\in\mathbb{N}}[/itex] is a sequence in [itex]X[/itex] with [itex]x_n \to x\in X[/itex]. Then for all [itex]x\in X[/itex]: [tex]f(x_n) = (f_1(x_n) , f_2(x_n) , ... , f_N (x_n)) \to (f_1(x) , f_2(x) , ... , f_N (x) ) = f(x)[/tex] since all the [itex]f_i[/itex] are continuous.

(This is also using a theorem which says that if [itex](x^{(n)})_{n\in\mathbb{N}}[/itex] is a sequence of vectors in [itex]\mathbb{R}^N[/itex] then [itex]x^{(n)} \to x\in\mathbb{R}^N[/itex] in the Euclidean metric [itex]\iff x_j^{(n)} \to x_j[/itex] for each [itex]1\leqslant j \leqslant N[/itex] in the standard metric on [itex]\mathbb{R}[/itex].)

How would you show in the last 2 parts that [itex]F[/itex] and [itex]H[/itex] are continuous?
 
Last edited:
Physics news on Phys.org
EDIT: I see that [itex]F = \phi \circ f[/itex] and we've already shown that the composition of 2 continuous functions is continuous.

What function can I compose [itex]F[/itex] with to turn the product in [itex]H[/itex] into a sum?
 
Well, to turn a sum into a product we could use ##e^x## since ##e^{x+y} = e^x e^y ##. So what might you use to do the opposite?
 
spamiam said:
Well, to turn a sum into a product we could use ##e^x## since ##e^{x+y} = e^x e^y ##. So what might you use to do the opposite?

Log!
 
Last edited:
Ted123 said:
Log!

:smile: Right! And now this explains why the functions must be strictly positive for the last part.
 
spamiam said:
:smile: Right! And now this explains why the functions must be strictly positive for the last part.

If [itex]h : (X,d_X) \to \mathbb{R}^N[/itex] is defined by [itex]h(x) = (h_1(x) , h_2(x) , ... , h_N(x) )[/itex] then [itex]h[/itex] is continuous by part (b).

[itex]\displaystyle \log \circ H (x) = \log(H(x)) = \log \left( \prod_{j=1}^{N} h_j(x)^{a_j} \right)= \sum_{j=1}^N \log ( h_j(x)^{a_j} )= \sum_{j=1}^N a_j \log(h_j (x)) = \phi \circ (\log \circ h (x))[/itex]

[itex]\phi , \log , h[/itex] are all continuous so their composition is continuous, so [itex]\log \circ H[/itex] is continuous.

We know if [itex]f[/itex] and [itex]g[/itex] are 2 continuous functions then [itex]g \circ f[/itex] is continuous but [itex]g \circ f[/itex] continuous [itex]\not\Rightarrow f, g[/itex] are continuous so how do I frame the argument to show that H is continuous?
 
Ted123 said:
If [itex]h : (X,d_X) \to \mathbb{R}^N[/itex] is defined by [itex]h(x) = (h_1(x) , h_2(x) , ... , h_N(x) )[/itex] then [itex]h[/itex] is continuous by part (b).

[itex]\displaystyle \log \circ H (x) = \log(H(x)) = \log \left( \prod_{j=1}^{N} h_j(x)^{a_j} \right)= \sum_{j=1}^N \log ( h_j(x)^{a_j} )= \sum_{j=1}^N a_j \log(h_j (x)) = \phi \circ (\log \circ h (x))[/itex]

[itex]\phi , \log , h[/itex] are all continuous so their composition is continuous, so [itex]\log \circ H[/itex] is continuous.

We know if [itex]f[/itex] and [itex]g[/itex] are 2 continuous functions then [itex]g \circ f[/itex] is continuous but [itex]g \circ f[/itex] continuous [itex]\not\Rightarrow f, g[/itex] are continuous so how do I frame the argument to show that H is continuous?

what continuous function can you compose with [itex]log \circ H[/itex] to recover H?
 
[itex]\exp \circ ( \log \circ (H(x) ) = H(x) = \exp \circ (\phi \circ (\log \circ h(x)) )[/itex]

[itex]\exp , \phi , \log , h[/itex] are all continuous so their compositions are all continuous, so H is continuous.
 
i'll buy that.
 

Similar threads

Replies
34
Views
3K
  • · Replies 13 ·
Replies
13
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
Replies
1
Views
1K
  • · Replies 15 ·
Replies
15
Views
3K
Replies
3
Views
2K
  • · Replies 12 ·
Replies
12
Views
2K