Proving/Disproving Limits of g and f*g

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In summary: So if x>xo, |g(x)|>E and |f(x)g(x)-L| is less than 1, which is a necessary condition for the limit to exist.
  • #1
daniel_i_l
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Homework Statement


Prove or disprove:
You have the functions g:R->R and f:R->R:
1) If the limit of g at x0 is infinity and the limit of f*g (multiplication) at x0 is also infinity then there's some neibourhood of x0 where f(x)>0 for every x in the neibourhood.

2)f and g are defined only in [0,infinity) and and L is in R:
If the limit of f*g at infinity is L and the limit of f at infinity is infinity then the limit of g at infinity exists.


Homework Equations





The Attempt at a Solution


1) False: g(x) = 1/(x^2) and f(x) = 1 for all x=/=0 and f(x) = -1 for x=0.
Is that right? It seemed to trivial.
2) True: For every E (epsilon) >0 we can find M>0 so that ME>|L| =>
ME-|L| > 0.
Also, we can find N_1>0 so that for all x>N_1 f(x)>M => |f(x)| > M.
Also, we can find N_2>0 so that for all x>N_2 |f(x)g(x)-L|< ME-|L| .
So if N>max(N_1,N_2) then:
ME-|L| < |f(x)g(x)-L|<= |f(x)g(x)|-|L| < M|g(x)|-|L| =>
|g(x)| < E
and so we found that the limit of g at infinity is 0. Is that right? It seems weird that in the question they only proved that the limit exists and I found that it's always 0.

Thanks.
 
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  • #2
Anyone? An in the line:
ME-|L| < |f(x)g(x)-L|<= |f(x)g(x)|-|L| < M|g(x)|-|L|
I meant:
ME-|L| > |f(x)g(x)-L| => |f(x)g(x)|-|L| > M|g(x)|-|L|
 
  • #3
I think you're example for the first one might be too trivial. Since the value of a limit of a function never depends on the value at the limit point, they probably don't mean to include the point in the neighborhood. If that's exactly what they wrote, then you're right, but it's a little cheap.

And I think your result for the second question is correct, although I'm having trouble following your proof. For example, ME>|L| => ME-|L| > 0 is always trivially true, and there are a few other examples like that where I don't know what you mean.
 
  • #4
Where else was I unclear?
Thanks!
 
  • #5
daniel_i_l said:
True: For every E (epsilon) >0 we can find M>0 so that ME>|L| => ME-|L| > 0.

As I said, this is trivially true, so what exactly is the condition you're imposing on M?

Also, we can find N_1>0 so that for all x>N_1 f(x)>M => |f(x)| > M.

This is a little confusing, although I'm guessing you mean x>N_1 => f(x)>M => |f(x)|>m.

Also, we can find N_2>0 so that for all x>N_2 |f(x)g(x)-L|< ME-|L| .

Without knowing M I don't know what this means.

So if N>max(N_1,N_2) then:
ME-|L| < |f(x)g(x)-L|<= |f(x)g(x)|-|L| < M|g(x)|-|L| =>
|g(x)| < E
and so we found that the limit of g at infinity is 0.

|A-B|<= |A|-|B| is not true unless you establish |A|>=|B|, in which case it's an equality.
 
  • #6
StatusX said:
As I said, this is trivially true, so what exactly is the condition you're imposing on M?
I'm imposing the condition that ME > |L|. Since E can be every number over 0 this isn't true for all M.


StatusX said:
This is a little confusing, although I'm guessing you mean x>N_1 => f(x)>M => |f(x)|>m.
yes.


StatusX said:
Without knowing M I don't know what this means.
Since the limit of f*g at infinity is L, then for every a>0 we can find a number N>0 so that |f(x)g(x) - L|<a and since we chose M so that ME-|L|>0 we can find a number N>0 so that |f(x)g(x) - L|<ME-|L|


StatusX said:
|A-B|<= |A|-|B| is not true unless you establish |A|>=|B|, in which case it's an equality.
Look at my second post, in the first one I mixed up all the signs in that row.

Is it clear now? Is it a correct/complete proof?
Thanks
 
  • #7
Ok, now I'm with you up to the last line:

ME-|L| > |f(x)g(x)-L| ...

ok

... => |f(x)g(x)|-|L| > M|g(x)|-|L|

does this mean "greater than or equal to" or "implies"? If it's the first, the comment I made above still applies, and if it's the second, I don't know what you mean.

In any case, it's still confusing, at least to me. Just for the record, here's how I would do it:

There is some xo such that for x>xo, |f(x)|>M and |f(x)g(x)-L| is less than, say, 1. Then for x>xo we can write:

[tex] |g(x)| = \left| \frac{ (f(x)g(x) - L)+L}{f(x)} \right|[/tex]

[tex] \leq \frac{1}{|f(x)|} \left( |f(x)g(x)-L| + |L| \right) [/tex]

[tex] < \frac{1+|L|}{M} [/tex]
 
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  • #8
Your way does seem much simpler. Do you have any advice for how to see those kind of "tricks"? (the first equation you latexed)
And about you comment:
"does this mean "greater than or equal to" or "implies"? If it's the first, the comment I made above still applies, and if it's the second, I don't know what you mean."
I meant greater than or equal to. And isn't it true that for all a and b
|a-b|>=|a|-|b| ? proof:
|a| = |a-b+b| =< |a-b|+|b|
and we get:
|a-b| >= |a|-|b|

Is that the problem? If not than what's the problem?
Thanks.
 
  • #9
Sorry, you're right. Your way works fine. The only real difference between my way and yours is that you used the fact that f(x)g(x) approaches L. But this is actually unneceassary, and it simplifies the proof somewhat if you note that f(x)g(x) just needs to be bounded for the result to hold.
 
  • #10
Thanks a lot for your help!
 

FAQ: Proving/Disproving Limits of g and f*g

What does it mean to "prove" a limit of g?

Proving a limit of g means to show that as the input of g approaches a certain value, the output of g also approaches a specific value. In other words, it demonstrates that g behaves in a predictable way near a certain point.

How do you calculate the limit of f*g?

To calculate the limit of f*g, you must first evaluate the individual limits of f and g at the given point. Then, multiply the limits together to find the limit of f*g. This is known as the limit product rule.

Can a limit of f*g exist if the individual limits of f and g do not exist?

Yes, it is possible for a limit of f*g to exist even if the individual limits of f and g do not exist. This can occur if the behaviors of f and g cancel each other out at the given point.

What is the difference between proving and disproving a limit of g?

Proving a limit of g involves showing that the limit does indeed exist and has a specific value. Disproving a limit of g, on the other hand, involves showing that the limit does not exist or has a different value than what was initially predicted.

Are there any specific techniques or methods for proving or disproving limits of g and f*g?

Yes, there are various techniques and methods for proving or disproving limits of g and f*g. Some common strategies include using limit laws, substitution, and various limit theorems such as the squeeze theorem. The specific approach will depend on the specific functions and their behaviors at the given point.

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