Convergent sequences in Cartesian product of vector spaces

Greger
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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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