Convergent sequences in Cartesian product of vector spaces

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A sequence (a_n, b_n) in the Cartesian product of vector spaces A×B converges to (a, b) if and only if the individual sequences a_n in A and b_n in B converge to a and b, respectively. The discussion highlights the need to establish this relationship through proper definitions of convergence in normed spaces. It emphasizes that if (a_n, b_n) converges, one can find an N such that both a_n and b_n converge to their limits using the maximum of the indices for convergence. The conversation also addresses the challenge of proving the converse, ensuring that if the sequences do not converge in their respective spaces, then the Cartesian product cannot converge either. Overall, the proof hinges on understanding the norms and convergence criteria in both vector spaces and their product.
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If A and B are vector spaces over ℝ or ℂ show that a sequence (a_n, b_n) in A×B converges to (a,b) in A×B only if a_n converges to a in A and b_n converges to b in B as n tends to infinity.

To me this statement sounds pretty intuitive but I have been having trouble actually proving it properly.

My first attempt was to assume that a_n converges to a in A and b_n converges to b in B then it was kind of easy to see that (a_n, b_n) converges to (a,b) but showing that the converse is true seems to be a bit trickier.

To me it seems like if you have a sequence (a_n, b_n) where a_n is in A and b_n is in B that it is 'obvious' that it converges to (a,b) only if if the individual sequences converge in their space. I mean like, if it didn't converge in it's space, how could it converge in the Cartesian product?

Does anyone have any ideas on finishing off this proof? (assuming that I started with the correct idea)
 
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Greger said:
If A and B are vector spaces over ℝ or ℂ

Vector spaces?? How can you talk about convergence in just vector spaces?
 
Do you mean that it should be a normed vector space?

Like in this case |(a,b)| = |a|_A + |b|_B for a in A and b in B

Or?
 
Greger said:
Do you mean that it should be a normed vector space?

Like in this case |(a,b)| = |a|_A + |b|_B for a in A and b in B

Or?

Yes, A and B should be normed vector spaces (or metric spaces more generally). And you should make a norm on AxB as well. Your proposal of the norm

\|(a,b)\|=\|a\|_A+\|b\|_B

is a good one.

Now, can you write out what it means that the sequence (a_n,b_n) converges in AxB? And what it means that a_n converges in A and that b_n converges in B?
 
For the cartesian product,

For some ε>0 there exists an N such that |(a_n,b_n) - (a,b)|<ε whenever n>N

|(a_n-a,b_n-b)| = |a_n-a|_A + |b_n-b|_B

For individual spaces

For some ε>0 there exists an N such that |a_n - a|_A<ε/2 whenever n>N
(same definition for b_n)

and if you add them together you will get

|a_n - a|_A + |b_n - b|_A<ε/2+ε/2=ε

but then to prove it don't you also need to show that the converse of the statement is not true?

Is it enough to say that

For some ε>0 there exists an N such that |(a_n,b_n) - (a,b)|<ε whenever n>N

|(a_n-a,b_n-b)| = |a_n-a|_A + |b_n-b|_B<ε

but if there does not exist an N such that |a_n-a|_A <ε/2 for n>N then it doesn't converge ?
 
Greger said:
For the cartesian produce,

For some ε>0 there exists an N such that |(a_n,b_n) - (a,b)|<ε whenever n>N

|(a_n-a,b_n-b)| = |a_n-a|_A + |b_n-b|_B

For individual spaces

For some ε>0 there exists an N such that |a_n - a|_A<ε/2 whenever n>N
(same definition for b_n)

Same for the b_n, but the N there might be different than the N for the a_n. So how do you solve that?

but then to prove it don't you also need to show that the converse of the statement is not true?

What do you mean?
 
Sorry I editing my post a bit to make it make more sense haha,

If the N are different then for the a case i'll write it as N_a, then you need N = max(N_a, N_b) right?
 
Greger said:
but then to prove it don't you also need to show that the converse of the statement is not true?

Is it enough to say that

For some ε>0 there exists an N such that |(a_n,b_n) - (a,b)|<ε whenever n>N

|(a_n-a,b_n-b)| = |a_n-a|_A + |b_n-b|_B<ε

but if there does not exist an N such that |a_n-a|_A <ε/2 for n>N then it doesn't converge ?

Are you trying to show now that if (a_n,b_n) converges, then a_n converges. To prove this you have to find for all \varepsilon&gt;0 an N such that for n>N holds that |a_n-a|_A&lt;\varepsilon. Ho< would you find that N?

Greger said:
If the N are different then for the a case i'll write it as N_a, then you need N = max(N_a, N_b) right?

Correct.
 
Wouldnt that N be the same N required for (a_n,b_n) to converge?
 
  • #10
Greger said:
Wouldnt that N be the same N required for (a_n,b_n) to converge?

Yes, try to use that N. So you know that

\|(a_n,b_n)-(a,b)\|=\|a_n-a\|_A+\|b_n-b\|_B&lt;\varepsilon

and you must prove that

\|a_n-a\|_A&lt;\varepsilon

Can you do this?
 

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