Proving M_1^2 ≤ 4M_0M_2 in Real Analysis

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Homework Help Overview

The problem involves proving the inequality M_1^2 ≤ 4M_0M_2, where M_0, M_1, and M_2 represent the least upper bounds of the absolute values of a twice-differentiable function and its first two derivatives over a specified interval. The context is rooted in real analysis and involves concepts from calculus, particularly Taylor's theorem.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to leverage Taylor's theorem to relate the function and its derivatives, questioning how to apply the triangle inequality effectively. Some participants inquire about hints provided in the reference material, while others suggest focusing on specific manipulations of the inequalities derived from Taylor's theorem.

Discussion Status

The discussion is ongoing, with participants exploring different interpretations of the hint from the reference material. There is an indication that a particular choice of a parameter may lead to a productive direction, although no consensus has been reached on the approach yet.

Contextual Notes

Participants express concern about the accessibility of hints in the reference material, indicating a potential barrier to understanding the problem fully. The discussion also highlights the challenge of applying inequalities derived from Taylor's theorem in a meaningful way.

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Homework Statement


Suppose [itex]a \in \mathbb{R}[/itex], f is a twice-differentiable real function on (a, \infinty) and M_0,M_1,M_2 are the least upper bound of [itex]|f(x)|,|f'(x)|,|f''(x)|[/itex], respectively on (a,\infinity). Prove that

[tex]M_1^2\leq 4 M_0 M_2[/tex]

Homework Equations


The Attempt at a Solution


That is equivalent to showing that M_2 x^2 +M_1 x +M_0=0 has a real solution.

I was trying to use Taylor's Theorem which says that if \alpha and \beta are distinct points in (a,\infinity) then there exists x between \alpha and \beta that makes the following equation true:

[tex]f(\beta) = f(\alpha) + f'(\alpha)(\beta-\alpha) + f''(x) (\beta-\alpha)^2/2[/tex]

I could take the absolute value of both sides and then use triangle inequality but I did not see how to get anywhere with that.
 
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Did you look at the hint given in rudin?
 
How was I supposed to know there was a hint on the next page? That is a serious question.
 
OK. The hint says:

If h>0, Taylor's theorem show that

[tex]f'(x) = \frac{1}{2h}[f(x+2h)-f(x)]-hf''(\xi)[/tex]

for some [itex]\xi \in (x,x+2h)[/itex]. Hence

[tex]|f'(x)| \leq hM_2+M_0/h[/tex]

I don't see how the last inequality is useful (even if you square it).
 
Square it and remember that it holds for ANY h > 0. There is a particular choice of h that will yield the result.
 

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