How Can We Prove That the Exponential Function is Always Positive?

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In summary: I'm still not sure if the last equation holds true for all x, but I think I've found a way to show that it does, if x is sufficiently large.If you'd read my posts, you would have noticed that that's what I've tried. To recap: there exists an x such that\frac{x^{2n+1}}{(2n+1)!} + \frac{x^{2n+2}}{(2n+2)!} = -\frac{(2n+1)^{2n+1}}{(2n+2)!}, but \sum_{k=0}^{2n}\frac{x
  • #1
Päällikkö
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[SOLVED] Showing exp is positive...

... well not quite. This isn't actually homework, but here's what I'd like to prove:
[tex]\forall n \in \mathbb{N} : \sum_{k=0}^{2n}\frac{x^k}{k!} \ge 0[/tex].

I tried going about it through induction, but got into trouble quite early on: I couldn't prove that
[tex]\sum_{k=0}^{2(n+1)}\frac{x^k}{k!} = \sum_{k=0}^{2n}\frac{x^k}{k!} + \frac{x^{2n+1}}{(2n+1)!} + \frac{x^{2n+2}}{(2n+2)!} \ge 0[/tex],
as using
[tex]\sum_{k=0}^{2n}\frac{x^k}{k!} \ge 0[/tex]
here I'd get
[tex]\frac{x^{2n+1}}{(2n+1)!} + \frac{x^{2n+2}}{(2n+2)!} \ge 0[/tex],
which cannot be proven as it's false.

So obviously I'm in need of a different viewpoint. My brain is all tangled up, I do hope the problem isn't as easy as it looks at a first glance.
 
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  • #2
Well try bringing the 2 fractions to the same base by saying that (2n+2)!=(2n+2)(2n+1)!
 
  • #3
Which equation are you talking about? I've tried that plenty before, to no avail.

I forgot to mention in the first post that I managed to show that
[tex]\frac{x^{2n+1}}{(2n+1)!} + \frac{x^{2n+2}}{(2n+2)!} \ge -\frac{(2n+1)^{2n+1}}{(2n+2)!}[/tex],
but that lead to nowhere as the expression
[tex]\sum_{k=0}^{2n}\frac{x^k}{k!} \ge \frac{(2n+1)^{2n+1}}{(2n+2)!}[/tex]
does not hold.
 
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  • #4
Try this. The Lagrange form of the Taylor series remainder is R(2n)(x)=exp(y)*x^(2n+1)/(2n+1)! for some y between 0 and x. So if I call your series P(2n)(x), then P(2n)(x)+R(2n)(x)=exp(x). Clearly you have nothing to worry about if x>0. If x<0 then R(2n)(x)<0, but exp(x)>0. Reach a conclusion about P(2n)(x).
 
  • #5
I'd start with S(1) = [itex]\sum_{k=0}^{2}{x^k}/{k!} = 1 + x + x^2/2[/itex]. Assume x < 0, then show S(1) > 0 because the first and the third terms trump the second. Then generalize to S(n).
 
  • #6
Dick said:
Try this. The Lagrange form of the Taylor series remainder is R(2n)(x)=exp(y)*x^(2n+1)/(2n+1)! for some y between 0 and x. So if I call your series P(2n)(x), then P(2n)(x)+R(2n)(x)=exp(x). Clearly you have nothing to worry about if x>0. If x<0 then R(2n)(x)<0, but exp(x)>0. Reach a conclusion about P(2n)(x).

My thinking in the first post works for x > 0, but runs into trouble when x < 0 (More precisely, everything except -2n - 2 < x < 0 should work out directly (I haven't actually tried to prove that the assertion holds in the mentioned region separately, maybe that'll work)). You confronted this difficulty with a quite involved theorem about Lagrange remainders and the properties of exp. Although correct, I'm not completely satisfied: I'd rather have the proof not relying on the properties of exp.

EnumaElish said:
I'd start with S(1) = [itex]\sum_{k=0}^{2}{x^k}/{k!} = 1 + x + x^2/2[/itex]. Assume x < 0, then show S(1) > 0 because the first and the third terms trump the second. Then generalize to S(n).

This is indeed exactly what I've done in the first post. As I pointed out, the difficulty started when trying to prove the implication S(n) => S(n+1).
 
  • #7
Päällikkö said:
My thinking in the first post works for x > 0, but runs into trouble when x < 0 (More precisely, everything except -2n - 2 < x < 0 should work out directly (I haven't actually tried to prove that the assertion holds in the mentioned region separately, maybe that'll work)). You confronted this difficulty with a quite involved theorem about Lagrange remainders and the properties of exp. Although correct, I'm not completely satisfied: I'd rather have the proof not relying on the properties of exp.

I don't consider Taylor series remainder terms to be be rocket science, but maybe there is a more direct approach. I wish you luck in finding it. I couldn't come up with anything.
 
  • #8
Päällikkö said:
This is indeed exactly what I've done in the first post. As I pointed out, the difficulty started when trying to prove the implication S(n) => S(n+1).
That must be because any "excess positivity" in S(n) actually gets to be used in S(n+1) to soak up (cancel out) the additional negativity introduced (together with some additional positivity) while one goes from n to n+1.

I.e. you have to assume not only that S(n) > 0 (which is what your attempt at induction assumes), but actually S(n) > M(n) > 0 so that S(n+1) > 0.
 
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  • #9
EnumaElish said:
That must be because any "excess positivity" in S(n) actually gets to be used in S(n+1) to soak up (cancel out) the additional negativity introduced (together with some additional positivity) while one goes from n to n+1.

I.e. you have to assume not only that S(n) > 0 (which is what your attempt at induction assumes), but actually S(n) > M(n) > 0 so that S(n+1) > 0.

If you'd read my posts, you would have noticed that that's what I've tried. To recap: there exists an x such that
[tex]\frac{x^{2n+1}}{(2n+1)!} + \frac{x^{2n+2}}{(2n+2)!} = -\frac{(2n+1)^{2n+1}}{(2n+2)!}[/tex],
but
[tex]\sum_{k=0}^{2n}\frac{x^k}{k!} \ge \frac{(2n+1)^{2n+1}}{(2n+2)!}[/tex]
does not hold for all x. That is, one cannot find an M(n) independent of x (of the kind that would help with the proof). This makes the proof trickier.

EDIT: Got it.
 
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  • #10
Can you show the proof; I want to check whether my proof is same or not.
 
  • #11
It relies on the fact that:
[tex]\frac{d^2}{dx^2}\sum_{k=0}^{2(n+2)}\frac{x^k}{k!} = \sum_{k=0}^{2n}\frac{x^k}{k!}[/tex]

The rest should easily follow.
 
  • #12
The functional properties of the exponential function, that Exp(x+y)=Exp(x)*Exp(y) and Exp(0)=1 are sufficient to prove that Exp(x) are greater than 0 for ALL x, since Exp(-x)=Exp(0)/Exp(x) for arbitrary positive x.
 
  • #13
Päällikkö said:
It relies on the fact that:
[tex]\frac{d^2}{dx^2}\sum_{k=0}^{2(n+2)}\frac{x^k}{k!} = \sum_{k=0}^{2n}\frac{x^k}{k!}[/tex]

The rest should easily follow.

Mine is same.
 
  • #14
Sourabh N said:
Mine is same.

So to let the rest of us catch up, how did you do it using only that?
 
  • #15
[tex]\forall n \in \mathbb{N} : \sum_{k=0}^{2n}\frac{x^k}{k!} > 0 \quad (1)[/tex]
I changed the greater than or equal sign to a greater than (might as well go for the stronger version as the proof doesn't differ one bit).
So :
[tex]\sum_{k=0}^{2}\frac{x^k}{k!} = 1 + x + \frac{x^2}{2} > 0[/tex].

Therefore we may assume that (1) holds for some n. Now
[tex]\frac{d^2}{dx^2}\sum_{k=0}^{2(n+1)}\frac{x^k}{k!} = \sum_{k=0}^{2n}\frac{x^k}{k!} > 0[/tex]
(Apparently I have a typo in my last post in the indices, that might be confusing)

It follows that the function has exactly one minimum, at the point x0:
[tex]\frac{d}{dx}\sum_{k=0}^{2(n+1)}\frac{x_0^k}{k!} = 0[/tex]

With the above equation, we can drop a whole lot of terms from the original:
[tex]\sum_{k=0}^{2(n+1)}\frac{x^k}{k!} > \sum_{k=0}^{2(n+1)}\frac{x_0^k}{k!} = \frac{x_0^{2n+2}}{(2n+2)!} > 0[/tex]

This holds for all x.
 
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  • #16
Thanks.
 

FAQ: How Can We Prove That the Exponential Function is Always Positive?

What does it mean to show that exp is positive?

When we say "showing exp is positive", it means proving that the exponential function, denoted by exp(x), always produces a positive output for any real number x. This is a common proof technique in mathematics and is often used to show that certain equations or functions have only positive solutions.

How can I prove that exp is always positive?

To prove that exp is always positive, one approach is to use the definition of the exponential function, which is exp(x) = e^x, where e is a constant approximately equal to 2.71828. By plugging in various values of x into this equation, you can show that the output is always positive. Another approach is to use properties of exponentials, such as the fact that e^x is always greater than 0 for any x.

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