Metric Spaces .... the Uniform Metric .... Garling, Proposition 11.1.11 ....

In summary, Garling's statement and proof of Theorem 11.1.11 in Chapter 11 of his book "A Course in Mathematical Analysis: Volume II: Metric and Topological Spaces, Functions of a Vector Variable" discusses how taking the supremum preserves an inequality in the context of metric spaces and normed spaces. The proof shows that if the inequality (1) holds for arbitrary points in the space, it also holds for the supremum, even in cases where a maximum does not exist. This helps to clarify the issue and provides a better understanding of the concept.
  • #1
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I am reading D. J. H. Garling's book: "A Course in Mathematical Analysis: Volume II: Metric and Topological Spaces, Functions of a Vector Variable" ... ...

I am focused on Chapter 11: Metric Spaces and Normed Spaces ... ...

I need some help with an aspect of the proof of Theorem 11.1.11 ...

Garling's statement and proof of Theorem 11.1.11 reads as follows:
View attachment 8945
View attachment 8946Near the end of Garling's proof above we read the following:

" ... ... Suppose that \(\displaystyle f,g,h \in B_X(S)\) and that \(\displaystyle s \in S\). Then

\(\displaystyle d(f(s), h(s)) \le d(f(s), g(s)) + d(g(s), h(s)) \le d_\infty (f, g) + d_\infty (g, h)\) ... ... ... (1)

Taking the supremum, \(\displaystyle d_\infty (f, h) \le d_\infty (f, g) + d_\infty (g, h)\) ... ... ... "Now (1) is true for arbitrary s and so it is true for all \(\displaystyle s\) including the point for which \(\displaystyle d(f(s), h(s))\) is a maximum ... if a maximum exists ...But in the case where a maximum does not exist ... how do we know that taking the supremum preserves inequality (1) ...Hope someone can help ...

Peter
 

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  • #2
Peter said:
Near the end of Garling's proof above we read the following:

" ... ... Suppose that \(\displaystyle f,g,h \in B_X(S)\) and that \(\displaystyle s \in S\). Then

\(\displaystyle d(f(s), h(s)) \le d(f(s), g(s)) + d(g(s), h(s)) \le d_\infty (f, g) + d_\infty (g, h)\) ... ... ... (1)

Taking the supremum, \(\displaystyle d_\infty (f, h) \le d_\infty (f, g) + d_\infty (g, h)\) ... ... ... "Now (1) is true for arbitrary s and so it is true for all \(\displaystyle s\) including the point for which \(\displaystyle d(f(s), h(s))\) is a maximum ... if a maximum exists ...But in the case where a maximum does not exist ... how do we know that taking the supremum preserves inequality (1) ...
The inequality (1) shows that $d_\infty (f, g) + d_\infty (g, h)$ is an upper bound for $d(f(s), h(s))$. The supremum (or least upper bound) of $d(f(s), h(s))$ must therefore be at most $d_\infty (f, g) + d_\infty (g, h)$.
 
  • #3
Opalg said:
The inequality (1) shows that $d_\infty (f, g) + d_\infty (g, h)$ is an upper bound for $d(f(s), h(s))$. The supremum (or least upper bound) of $d(f(s), h(s))$ must therefore be at most $d_\infty (f, g) + d_\infty (g, h)$.[Thanks for clarifying the issue Opalg ...

Appreciate your help...

Peter
 

FAQ: Metric Spaces .... the Uniform Metric .... Garling, Proposition 11.1.11 ....

What is a metric space?

A metric space is a mathematical concept that consists of a set of objects and a distance function that measures the distance between any two objects in the set. This distance function, also known as a metric, satisfies certain properties such as non-negativity, symmetry, and the triangle inequality.

What is the uniform metric?

The uniform metric, also known as the sup metric, is a specific type of metric used in metric spaces. It measures the distance between two points as the maximum difference between their corresponding coordinates. In other words, it measures the maximum distance in any direction between two points.

Who is Garling?

Garling is a mathematician and author of the book "A Course in Mathematical Analysis." This book covers various topics in mathematical analysis, including metric spaces and the uniform metric. Garling's work is highly regarded in the mathematical community.

What is Proposition 11.1.11 in Garling's book?

Proposition 11.1.11 in Garling's book states that if a sequence of functions in a metric space converges uniformly, then it also converges pointwise. This is an important result in the study of metric spaces and their properties.

How is Proposition 11.1.11 used in mathematics?

Proposition 11.1.11 is used in mathematics to prove the continuity of functions in metric spaces. It states that if a sequence of continuous functions converges uniformly, then the limit function is also continuous. This is a fundamental concept in the study of analysis and is used in various mathematical applications.

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