An interesting inequality-question on the proof

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Discussion Overview

The discussion revolves around the proof of the Arithmetic Mean-Geometric Mean (AM-GM) inequality, particularly focusing on an inductive approach to demonstrate its validity for positive real numbers. Participants explore various methods of proof, including specific cases and generalizations.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant presents an inductive proof for the AM-GM inequality starting with the case for n=2 and expresses uncertainty about extending the proof to other values of n.
  • Another participant suggests that the n=2 case could be proven more simply by manipulating the inequality directly, questioning the necessity of using powers of 2 in the induction.
  • A later reply notes that the inductive proof method is classical and refers to Cauchy's proof, which aligns with the original poster's approach.
  • One participant introduces an alternative derivation of the AM-GM inequality using properties of the exponential function and convexity, indicating a more complex proof that connects to the inequality.

Areas of Agreement / Disagreement

Participants express differing views on the best approach to proving the AM-GM inequality. While some support the inductive method, others question its efficiency and suggest alternative proofs. No consensus is reached on a singular method or the necessity of specific approaches.

Contextual Notes

There is a lack of clarity on the assumptions underlying the inductive proof, particularly regarding the choice of n=2^m. Additionally, the discussion highlights the complexity of proving the AM-GM inequality through different mathematical frameworks.

jeffreydk
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An interesting inequality--question on the proof...

I am working on the following proof and have gotten about half way;

If [tex]a_1, a_2, \ldots , a_n[/tex] are positive real numbers then

[tex]\sqrt[n]{a_1 \cdots a_n} \leq \frac{a_1+a_2+\ldots +a_n}{n}[/tex]

By induction, I started by showing it for n=2, which goes as follows.

We must show that [tex]\sqrt{a_1 a_2} \leq \frac{a_1+a_2}{2}[/tex]. So consider some s, a positive real number. If

[tex]\sqrt{a_1 a_2} \leq s \Rightarrow \sqrt{a_1 a_2} \leq \frac{\sqrt{a_1a_2}+s}{2} \leq s[/tex]

And since [tex]\sqrt{a_1a_2}<a_1+a_2-\sqrt{a_1a_2}[/tex], just let that equal s. Then it follows that,

[tex]\sqrt{a_1a_2} \leq \frac{\sqrt{a_1a_2}+a_1+a_2-\sqrt{a_1a_2}}{2}[/tex]

Where after simplification we have shown that [tex]\sqrt{a_1 a_2} \leq \frac{a_1+a_2}{2}[/tex] or in other words it is true for n=2.

Now for the next part of the proof, I think we must show that if it is true for [tex]n=2^m[/tex] then it is also true for [tex]n=2^{m+1}[/tex]. And then we must also show it if [tex]2^m < n < 2^{m+1}[/tex], but this is where I am stumped. Sorry for the choppiness in my explanation. Thanks for any assistance, I appreciate it.
 
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Eh, well the n = 2 case could be proved in an easier way just be multiplying both side by 2, squaring, rearranging, and factoring. It follows from the trivial inequality [tex]x^2 \geq 0[/tex]

As for the induction, I'm not sure why you use n = 2^m since it works for any natural number n. Anyways AM-GM is not easy to prove by induction since you have to apply an algorithm that is also used in a proof without induction.
 


snipez90 said:
As for the induction, I'm not sure why you use n = 2^m since it works for any natural number n. Anyways AM-GM is not easy to prove by induction since you have to apply an algorithm that is also used in a proof without induction.
Actually, one of the classical proofs of the AM-GM inequality is an inductive one. The proof is due to Cauchy, and it follows the main ideas in the OP, i.e. inducting on powers of 2.

There was a thread on this sometime back, here is the link. Check it out and post back if you need further help.
 


Oh alright, I didn't realize this was such a famous proof (Cauchy). Thanks for alerting me to that reference.
 


It can also be derived from the inequality

[tex]\exp(x)\geq 1+x[/tex] (1)

This is trivial to prove. It follows from this that:

[tex]\left\langle\exp(X)\right\rangle = \exp\left(\left\langle X\right \rangle\right)\left\langle\exp\left(X - \left\langle X\right \rangle\right)\right\rangle[/tex]

Apply (1) to the last factor:

[tex]\left\langle\exp\left(X - \left\langle X\right \rangle\right)\right\rangle\geq \left\langle 1 + X - \left\langle X\right \rangle\right\rangle = 1[/tex]

So, we have:

[tex]\left\langle\exp(X)\right\rangle \geq \exp\left(\left\langle X\right \rangle\right)[/tex] (2)

This is a special case of the convex inequality and the AM-GM inequality is a straightforward consequence of that inequality. But the convex inequality requires a bit more work to prove. The AM-GM inequality follows from (2) by taking X to be the logarithms of the a_i. The average on the l.h.s. is then the arithmetic mean, while on the r.h.s. you get the geometric mean.
 

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