Metric Space, open and closed sets

X is both open and closed. In summary, we discussed the discrete metrics and its properties, including the fact that any subset of X is both open and closed in X. We also explored the concepts of closed sets and limit points in a topological space.
  • #1
Ankit Mishra
6
0

Homework Statement



Let X be set donoted by the discrete metrics
d(x; y) =(0 if x = y;
1 if x not equal y:
(a) Show that any sub set Y of X is open in X
(b) Show that any sub set Y of X is closed in y

Homework Equations



In a topological space, a set is closed if and only if it coincides with its closure. Equivalently, a set is closed if and only if it contains all of its limit points.

A subset U of a metric space (M, d) is called open if, given any point x in U, there exists a real number ε > 0 such that, given any point y in M with d(x, y) < ε, y also belongs to U. Equivalently, U is open if every point in U has a neighbourhood contained in U.

The Attempt at a Solution



I tried to use the line y=x and said that there is a finite many balls centered along the line, that means its open because of the union. But my prof said that we r working in abstract so we can't use R2. How would this work then?
 
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  • #2
For (b), it is clear that if we fix a point x, the set {y | d(x,y) < 1/2} is just the point x What are the limit points of X?

For (a), use the fact that a set is open if it's complement is closed. If all the subsets of X are closed, then the complement of every subset is closed.
 
  • #3
(b) Show that any sub set Y of X is closed in X...is the correct question
 
  • #4
Yes, I assumed that's what was meant.
 
  • #5
the set {y | d(x,y) < 1/2}...how was developed? and why less than 1/2?
 
  • #6
there are only really two cases here as the distance between every point is 1, the two cases are

d>=1
d<1
consisder what points aere within a ball of each radius in each case

the choice of d<1/2 was probably an abritray d<1 case to consider
 
  • #7
this is known as the discrete topology of X
 

FAQ: Metric Space, open and closed sets

What is a metric space?

A metric space is a mathematical concept that describes a set of objects, where the distance between any two objects in the set is defined by a function called a metric. This metric function satisfies certain properties, such as non-negativity, symmetry, and the triangle inequality. Metric spaces are used to study the properties of geometric spaces, such as Euclidean space, and are important in fields such as topology and analysis.

What is an open set in a metric space?

In a metric space, an open set is a subset of the space where every point has a neighborhood that is also contained within the set. In other words, for any point in an open set, there exists a small enough radius around that point where all other points within that radius are also in the set. Open sets are important in topology as they help define the concept of continuity and convergence.

What is a closed set in a metric space?

A closed set in a metric space is a subset of the space that contains all of its boundary points. This means that any sequence of points in the set that converges within the space will also converge to a point within the set. Closed sets are useful in analysis as they help define the concept of completeness and compactness.

How are open and closed sets related in a metric space?

In a metric space, a set can be both open and closed, in which case it is referred to as a clopen set. However, in most cases, a set will be either open or closed, but not both. The relationship between open and closed sets is important in topology, where the complement of a closed set is an open set, and vice versa.

How are metric spaces used in real-world applications?

Metric spaces have a wide range of applications in the real world, particularly in fields such as computer science, data analysis, and machine learning. They are used to measure and compare distances between data points, which is crucial in tasks such as clustering, classification, and pattern recognition. Metric spaces are also used in GPS technology, where distance between locations is calculated using the metric function.

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