Holder's Inequality: Proving (17) is Sufficient

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In summary, the conversation is about the proof of Holder's inequality, specifically the case where the sums of the absolute values of a_k and b_k are equal to 1. It is stated that this case is sufficient because any general a_k and b_k can be rescaled to satisfy this condition, making it a special case.
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sakodo
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Hi guys, I am reading a proof on Holder's inequality. There is a line I don't understand.

Here is the extract from Kolmogorov & Fomin, Introductory Real Analysis.

"The proof of [Minkowski's inequality] is in turn based on Holder's inequality
[tex]\sum_{k=1}^n |a_k b_k|\leq (\sum_{k=1}^n|a_k\mid^p)^{\frac{1}{p}}(\sum_{k=1}^n|b_k\mid^q)^{\frac{1}{q}}. \ \ \ (15)[/tex] , where [tex]\frac
{1}{p}+\frac{1}{q}=1.[/tex]

We begin by observing that the inequality (15) is homogeneous,i.e., if it holds for two points [tex](a_1,...,a_n) \ and \ (b_1,...,b_n)[/tex], then it holds for any two points
[tex](\lambda a_1,...,\lambda a_n) \ and \ (\mu b_1,...,\mu b_n)[/tex] where [tex]\lambda \ and \ \mu[/tex] are arbitrary real numbers. Therefore we need only prove (15) for the case
[tex]\sum_{k=1}^n|a_k\mid^p = \sum_{k=1}^n|b_k\mid^q = 1. \ \ \ (17)[/tex]

Thus, assuming that (17) holds, we now prove that [tex]\sum_{k=1}^n |a_k b_k|\leq 1. \ \ \ (18)[/tex]"

I understand the inequality being homogeneous, but I don't understand how he got to the assumption of (17). Why is proving the case of (17) sufficient?

Any help would be appreciated.

Thanks.
 
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  • #2
Any general an and bn can be rescaled so it satisfies the condition. Suppose you've proved it for the case
[tex]
\sum_{k=1}^n |a_k|^p = \sum_{k=1}^n |b_k|^p = 1
[/tex]
and you'd like to prove it for
[tex]
\sum_{k=1}^n |a_k|^p = A,\quad \sum_{k=1}^n |b_k|^p = B
[/tex]
All you need to do is consider the sequences [itex]a_k/A^{1/p}[/itex] and [itex]b_k/B^{1/p}[/itex], which satisfy the special case condition, since homogeneity means it's equivalent.
 

1. What is Holder's Inequality and why is it important?

Holder's Inequality is a mathematical theorem that states a relationship between the norms of two vectors and their dot product. It is important because it allows us to prove the existence of certain mathematical quantities and also has many applications in various fields such as physics, engineering, and economics.

2. How is (17) relevant to Holder's Inequality?

(17) refers to the specific form of Holder's Inequality that is being proven to be sufficient. This form is often used in mathematical proofs and is a key part of understanding and applying Holder's Inequality.

3. What is meant by proving (17) is sufficient?

To prove that (17) is sufficient means to show that it is a valid and effective form of Holder's Inequality. In other words, it means to demonstrate that (17) accurately describes the relationship between the norms and dot product of two vectors.

4. How is (17) proven to be sufficient?

(17) can be proven to be sufficient through various mathematical techniques and manipulations, such as using the Cauchy-Schwarz inequality and rearranging terms. The proof involves showing that the statement holds true for all possible values of the vectors involved.

5. What are the applications of Holder's Inequality?

Holder's Inequality has many applications in mathematics and other fields. It is commonly used in calculus, functional analysis, and probability theory. It also has practical applications in fields such as physics, engineering, and economics, where it can help in solving problems related to optimization and approximation.

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