Where Does Bernoulli's Inequality Fall Short?

In summary, In order to find the limit for a sequence, you must first verify that the sequence has a limit. Then, you use the squeeze theorem to derive a formula resembling the limit. Finally, you use the hypothesis expression to test if the sequence has a limit at a specific point. If it does, you can be sure that the limit is 0.
  • #1
quasar987
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Where is the mistake in these few simple steps ?!

First, I guess that

[tex]\lim_{n\rightarrow \infty}\frac{n}{6^n}=0[/tex]

I'll show it using the definition

[tex]\left|\frac{n}{6^n}\right|<\epsilon \Leftrightarrow \frac{n}{6^n}<\epsilon[/tex]

But, Bernoulli's inequality states that [itex](1+x)^n \geq 1+xn \ \forall x>-1[/itex] and [itex]\forall n \in \mathbb{N}[/itex]. So, with x = 5, I get that

[tex]6^n \geq 1+5n \Rightarrow \frac{n}{6^n}\leq \frac{n}{1+5n}[/tex]

And

[tex]\frac{n}{1+5n} < \epsilon \Leftrightarrow n<\epsilon + 5\epsilon n \Leftrightarrow n> \frac{\epsilon}{1-5\epsilon}[/tex]

So basically, for all n greater than that, the inequality should be satisfied. But this is not so evidently.
 
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  • #2
Your steps were correct, but Bernoulli's inequality will not help you here.

[tex]\frac{n}{6^n}\leq \frac{n}{1+5n}[/tex]

Is correct, but you can't use it, since the right hand side obviously does not approach zero.
It's basically the squeeze theorem. If you want to do it by comparison, you need something bigger than [itex]\frac{n}{6^n}[/itex] that will still converge to 0.
 
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  • #3
You can also seek to prove the convergence of the series where the nth coefficient is given by n6^(-n). Ratio test does it.
 
  • #4
I think quasar987 was trying to prove the convergence on a sequence not on series.
instead of writing (1+5)^n, it's better (5+1)^n or 6^n>=
>= 5^n+n5^(n-1)+... or conveniently 6^n>n5^(n-1) because the term n5^(n-1) in closer to 6^n than 1+5n.
finally=> (n/6^n)<(n/n5^(n-1)=(1/5^(n-1)< e =>
n>=((lne^-1)/ln5) +1
 
  • #5
Easier:
let a_n=n*6^(-n).

lim a_n/a_n+1=1/6<1.

Therefore the series converges.

THEREFORE, the desired limit is 0. Done. It's called the test for divergence; look it up.
 
  • #6
There is a similar test for sequences too

[tex]\lim_{n \rightarrow \infty} \left|\frac{x_{n+1}}{x_n}\right|= L [/tex]

and if L<1, lim = 0

if L>1, lim = infinity.

By the way, I still don't understand why it doesn't work... I'll comment on Galileo's post tonight when I have more time.
 
  • #7
If I wanted to show that

[tex]\lim_{n \rightarrow \infty}\frac{n}{1+5n}=0[/tex]

This is not true, so I should not be able to find the N, right?

But if the last line of my first post is correct, it is precisely saying I have found that N in the person of

[tex]\frac{\epsilon}{1-5\epsilon}[/tex]

, no?


Galileo said:
It's basically the squeeze theorem. If you want to do it by comparison, you need something bigger than [itex]\frac{n}{6^n}[/itex] that will still converge to 0.

So are you saying that whenever I use the argument of saying "this is smaller than that, therefor if I find the N for "that", it will be valid for "this" too", I have first to verify that "that" has the same limit as I'm trying to show "this" has? The limit evaluating process would never end!
 
  • #8
The last sequence of equivalences in your first post does not seem to be true when [itex]\epsilon < \frac{1}{5}[/itex].

[tex]n < \epsilon + 5 \epsilon n \Leftrightarrow n - 5 \epsilon n < \epsilon \Leftrightarrow n(1 - 5 \epsilon) < \epsilon .[/tex]

But if [itex]\epsilon < 1/5[/itex], then [itex]1 - 5 \epsilon > 0[/itex], so that

[tex]
n < \frac{\epsilon}{1 - 5 \epsilon}.
[/tex]
 
  • #9
quasar987 said:
There is a similar test for sequences too

[tex]\lim_{n \rightarrow \infty} \left|\frac{x_{n+1}}{x_n}\right|= L [/tex]

and if L<1, lim = 0

if L>1, lim = infinity.

By the way, I still don't understand why it doesn't work... I'll comment on Galileo's post tonight when I have more time.
Yes, use this. I think L=1/6 in this case. I made a typo in the above: should have been a_(n+1)/a_n.

Now if you can't use this result directly, you can kind of use it indirectly...

I think you'll be able to use that result to derive a formula resembling this:
|a_n|<=(1/6)^n |a_0|.

Now it may look a bit different. The exponent may be n+1, n+2, or n-1 or n-2. The idea is that you are squeezing a_n's absolute value to be smaller than something that is "clearly" going to 0.

The other thing is that this may hold for n after a certain n', like for n>5 or something.

Sorry I haven't worked out the details but I think that's how it will fall into place.
 
  • #10
quasar987 said:
If I wanted to show that

[tex]\lim_{n \rightarrow \infty}\frac{n}{1+5n}=0[/tex]

This is not true, so I should not be able to find the N, right?

But if the last line of my first post is correct, it is precisely saying I have found that N in the person of

[tex]\frac{\epsilon}{1-5\epsilon}[/tex]

, no?

This N that I found, suposedly proving that the limit is 0, has been found without the use of any "squeeze", but only by algebraic manipulations on hypothesis expression.

(the hypothesis expression is that [tex]\frac{n}{1+5n}<\epsilon[/tex])

Yet, for epsilon = 1/50, for exemple, this N fails.

How can I be sure after this, that

[tex]\lim_{n \rightarrow \infty}\frac{1}{n}=0[/tex]

, since this result is also proved, using the definition of limit, by simple algebraic manipulations on the hypothesis expression?
 
  • #11
See post #8, where I showed you where the problem is. The simple algebraic manipulations you did are wrong...
 
  • #12
quasar,

whenever in the process of proving a limit and you compare the terms with something else you are appealing to the squeeze theorem.

If [itex]|a_n|<|b_n|[/itex] for all n>N for some N, and [itex]b_n \to 0 [/itex] as [itex]n \to \infty[/itex] then [itex]a_n \to 0[/itex] as [itex]n \to \infty[/itex].

Now, what if [itex]|a_n|<|b_n|[/itex], but [itex]b_n[/itex] does not go to zero?
Then we can't make any statement about the converge of [itex]a_n[/itex].
That's what you have:

[tex]\frac{n}{6^n}\leq \frac{n}{1+5n}[/tex]

but [itex]\frac{n}{1+5n}[/itex] does not approach zero, so you can't use Bernouilli to estimate your original sequence.
 
  • #13
Mmh, thanks for pointing that out Galileo. I hadn't noticed this is what we were doing even when we prove that a limit is something different then 0.


Muzza, sorry about that, I thought your post #8 was only meant to show that my N fails for epsilon < 1/5. However, I don't understand what do you mean by

Muzza said:
But if [itex]\epsilon < 1/5[/itex], then [itex]1 - 5 \epsilon > 0[/itex], so that

[tex]
n < \frac{\epsilon}{1 - 5 \epsilon}.
[/tex]

What does it matter what the value of [itex]1 - 5 \epsilon > 0[/itex] is? Starting from the hypothesis expression that concerns any epsilon at all, you have arrived at an equivalent form, that is [itex]n(1 - 5 \epsilon) < \epsilon[/itex]. Isn't the natural and valid for all epsilon (except 1/5) next step

[tex]n < \frac{\epsilon}{1 - 5 \epsilon}.[/tex]?!

However, I do realize that the very fact that [itex]n < \frac{\epsilon}{1 - 5 \epsilon}.[/itex] explodes in my face for epsilon = 1/5 implies that the hypothesis expression is wrong for epsilon = 1/5, and therfor, wrong overall. And also, for epsilon < 1/5, [itex]n < \frac{\epsilon}{1 - 5 \epsilon}.[/itex] is true only for n < 1, therefor, for no n, since n is natural and so there exists no N. (perhaps this is what you meant?)


There is one last thing that bothers me though... starting from [itex]n < \epsilon + 5 \epsilon n[/itex], I proceeded in a different way, and I don't see that's wrong with it..

[tex]n < \epsilon + 5 \epsilon n \Leftrightarrow 0<\epsilon + 5 \epsilon n - n \Leftrightarrow 0< \epsilon + n(5\epsilon-1) \Leftrightarrow -n(5\epsilon-1)<\epsilon \Leftrightarrow n(5\epsilon-1)>-\epsilon[/tex]
[tex] \Leftrightarrow n>\frac{-\epsilon}{5\epsilon-1} \Leftrightarrow n>\frac{\epsilon}{1-5\epsilon}[/tex]
 
  • #14
What does it matter what the value of [itex]1 - 5 \epsilon[/itex] is?

Aren't you familiar with how multiplication by a negative number affects an inequality? As in, if you multiply (or divide (same thing)) by a negative number, you must switch the inequality sign, if you multiply by a positive number you can leave it alone?

If 1 - 5e > 0, the inverse of (1 - 5e) is also positive, so one can multiply both sides of n(1 - 5e) < e by 1/(1 - 5e) to get n < e/(1 - 5e).

But if (1 - 5e) < 0, you must switch the signs around, so you get n > e/(1 - 5e).

Thus, your original argument only holds when (1 - 5e) < 0 <=> e > 1/5...

The problem with your other argument is practically the same as the first. You carelessly divide by something (i.e (5e - 1)) which might be negative!
 
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  • #15
AAAaaah! Phew, Muzza saves math, once again! :biggrin:
 

FAQ: Where Does Bernoulli's Inequality Fall Short?

What is Bernoulli's inequality?

Bernoulli's inequality is a mathematical theorem named after Swiss mathematician Jacob Bernoulli. It states that for any real number x greater than or equal to -1 and for any positive integer n, the following inequality holds true: (1 + x)^n ≥ 1 + nx.

What is the significance of Bernoulli's inequality?

Bernoulli's inequality is important in various fields such as mathematics, physics, and engineering. It is used to prove other mathematical theorems and inequalities, and it has practical applications in areas such as fluid dynamics, aerodynamics, and probability theory.

How is Bernoulli's inequality used in physics?

In physics, Bernoulli's inequality is used to describe the relationship between the speed of a fluid and the pressure exerted by that fluid. It is commonly used in Bernoulli's principle, which states that as the speed of a fluid increases, its pressure decreases.

Can Bernoulli's inequality be extended to complex numbers?

Yes, Bernoulli's inequality can be extended to complex numbers. In this case, the inequality states that for any complex number z with real part greater than or equal to -1 and for any positive integer n, (1 + z)^n ≥ 1 + nz.

Is Bernoulli's inequality always true?

Yes, Bernoulli's inequality is a universally true mathematical theorem. However, it is important to note that it is only applicable for certain values of x and n as stated in the inequality. For values outside of these parameters, the inequality does not hold true.

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