Explaining Non Archimedean Norm Proof

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In summary, the proof shows that if | | is a norm on a field K and there is a constant C such that |n.1| is smaller than or equal to C for all integers n, then the norm is non-archimedean. This is proven by showing that |x + y| is less than or equal to max(|x|,|y|) and that |ab| = |a||b| holds. The proof involves breaking down the summand into three norms, using the fact that |n.1| is less than or equal to C, and taking the limit as n goes to infinity.
  • #1
frb
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can someone explain this proof please, I added a star to the inequalities I don't see/understand.

if | | is a norm on a field K and if there is a C > 0 so that for all integers n |n.1| is smaller than or equal to C, the norm is non archimedean (ie the strong triangle inequality is true)

proof: if x and y in K

[tex]\[
\begin{array}{l}
|x + y|^n \le \sum\limits_{k = 0}^n {|\frac{{n!}}{{k!(n - k)!}}} x^k y^{n - k} | \le *(n + 1).C.\max \left( {|x|,|y|} \right)^n \\
|x + y| \le *\mathop {\lim }\limits_{n \to \infty } \left[ {(n + 1)C.\max \left( {|x|,|y|} \right)^n } \right]^{1/n} * = \max \left( {|x|,|y|} \right) \\
\end{array}
\][/tex]
 
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  • #2
Does |ab| = |a||b| hold? Then for the first inequality, you can split the summand into the product of three norms. The first norm is that of an integer, hence is no greater than C. Then you have |xk||yn-k| which is no greater than max(|x|,|y|)n. The sum goes from k=0 to n, i.e. it has n+1 terms, accounting for the (n+1) factor on the right side of the inequality. Next, by establishing |x+y|n < X, where X is the rightmost expression on the first line, you get |x+y| < X1/n. n is arbitrary here, so this inequality holds for all n, and hence it holds for the limit as n goes to infinity. For an analogy, observe that 0 < 1/n for all n, hence 0 < [itex]\lim _{n\to\infty }1/n[/itex]. Finally, since [max(|x|,|y|)n]1/n = max(|x|,|y|), you can pull it out of the limit. Then I guess [(n+1)C]1/n goes to 1 as n goes to infinity.
 
  • #3
I get it, thanks for helping.
 

1. What is a non-Archimedean norm?

A non-Archimedean norm is a mathematical concept used in the field of functional analysis to measure the size or magnitude of a vector or element in a vector space. It is a generalization of the concept of absolute value, which is used to measure the distance of a number from zero on the real number line. Non-Archimedean norms can be defined on a variety of mathematical structures, such as vector spaces, fields, and rings.

2. How is a non-Archimedean norm different from a traditional norm?

A non-Archimedean norm differs from a traditional norm in that it does not satisfy the triangle inequality. This means that the distance between two points (represented as vectors) may not always be shorter when passing through a third point. In traditional norms, the distance between two points is always shorter when passing through a third point, according to the triangle inequality.

3. What is the importance of proving a non-Archimedean norm?

Proving a non-Archimedean norm is important in order to establish the mathematical properties and relationships within a particular structure. It allows for a better understanding of the structure and its behavior, and can also lead to the development of new mathematical theories and applications.

4. What are some common techniques used to prove non-Archimedean norms?

There are several techniques used to prove non-Archimedean norms, including the ultrametric inequality, the strong triangle inequality, and the non-Archimedean absolute value inequality. These techniques typically involve using properties of the norm, such as submultiplicativity, homogeneity, and symmetry, to manipulate and simplify the expressions being evaluated.

5. How can the proof of a non-Archimedean norm be applied in real-world scenarios?

The proof of a non-Archimedean norm can have various real-world applications, such as in physics, engineering, and economics. For example, in physics, non-Archimedean norms are used to measure the magnitude of a force or energy, while in economics, they are used to measure the size of a portfolio or the risk of an investment. Understanding and proving non-Archimedean norms can also lead to the development of more efficient algorithms and solutions for real-world problems.

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