What Is a Metric Space and How Is It Defined?

In summary: The Euclidean R x R plane is an example of a metric space, where the metric is the standard distance function. Addition, as a binary operation, is defined on the Euclidean plane and maps ordered pairs to elements in the real numbers R. In summary, a metric space is an ordered pair (M, d) where M is a set and d is a function that maps elements in M to real numbers, following certain laws. The distance function, or metric, for the metric space is denoted as d and can vary for different metric spaces. Addition and multiplication are binary operations defined on the metric space.
  • #1
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Hi I have two questions,


1.
A metric space is an ordered pair (M,d) where M is a set (which some authors require to be non-empty) and d is a metric on M, that is, a function

[tex] d : M x M -> R [/tex]


------------From Wikipedia.
http://en.wikipedia.org/wiki/Metric_space#Definition

I just want to give my interpretation of what this says and if I'm reading this wrong could you correct my vocabulary/"mode of thought". :p

This statement is saying that the generalized metric space "d" (say, a Euclidian or Cartesian Plane) maps (joins together in a workable way) sets M to the real numbers R. d - the metric space - is viewed as a function.

2.
Is this the same way the Euclidian R x R plane is viewed when talking of "addition" in the following;

[tex] + : (R x R) --> R [/tex]



I would really appreciate it if you could explain where I'm wrong and what is correct.
 
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  • #2
"d" is the distance function, or metric, for the metric space. The domain for the distance function are ordered pairs (x,y) where x and y are in M. For example, in the reals, the standard distance function for x, y in R is |x-y|. You can also define different metrics on R, or even on sets of other elements such as functions or vectors, as long as they obey the laws outlined in the wikipedia link.

Things like addition and multiplication are referred to as binary operations.
 
  • #3
d is not a metric space - it is a metric that gives the distance between elements in set M. For different metric spaces, the metric d can be different. The ordered pair (M, d) is the metric space.
 

FAQ: What Is a Metric Space and How Is It Defined?

What is a metric space?

A metric space is a mathematical concept that describes a set of objects or points, along with a distance function that defines the distance between any two points in the set.

What is the difference between a metric space and a normed space?

A metric space only requires a distance function to be defined, while a normed space also requires a norm function that assigns a size or length to each point in the space.

What is the definition of a complete metric space?

A complete metric space is a metric space in which every Cauchy sequence (a sequence where the elements become arbitrarily close to each other) converges to a point within the space.

How do you measure the distance between two points in a metric space?

The distance between two points in a metric space is measured using the distance function, also known as a metric. This function takes two points as inputs and outputs a non-negative value representing the distance between them.

What are some examples of metric spaces?

Some common examples of metric spaces include Euclidean space (which includes normal 2D and 3D space), the space of real numbers, and the space of complex numbers. Other examples include discrete metric spaces, metric spaces with different types of norm functions, and graph metric spaces.

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