On a set \(X\) is defined a topology if there is a class of its subsets that is (the class) stable under any union and any finite intersection. The sets in the given class are called open sets. As usual, two immediate topologies come in mind: the trivial topology consisting of only two open sets, and the discrete topology with all subsets of \(X\) being open sets.
The most fundamental concept in topology is undoubtedly the concept of neighborhood which provides the precise setting for what we ordinarily call near to...
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The neighborhood of a point in a topological space is any open set containing that point. Other concepts include:
We are now interested in some collection of subsets that allow us to generate the whole class topology. These are prebases and bases. For a top space \(X\), a basis \(\mathcal{B}\) is a collection of open sets such that any open set in \(X\) is presented as union of elements from \(\mathcal{B}\) A base is fully characterized by the following: for any two open sets \(U\) and \(V\) from \(\mathcal{B}\), and for any \(x \in U\cap V \), there always exists an open set \(W \in \mathcal{B}\) such that \( x\in W \subset U\cap V\): any two open sets that intersect at a point not only contain that point but even contain a whole open set containing that point. In topology, containing open sets for a subspace translates into its extensiveness. On the other hand, as we will see, being contained into a compact translates into some kind of narrowness of the subspace. As Villani said, open sets are those sets that can be viewed as large; compact sets are those ones that can be viewed as small.
We will se that balls in metric space are prototypical examples of top space bases.
Base vs Basis? I shall use base if there is no notion of independence; while basis shall be used when the family is both generating and independent. In our view, base is broader than basis.
If \(\Gamma\) is a collection of subsets of a topological space, \(\Gamma\) covers \(A \subset X \) if \( A \subset \cup_{i\in I} G_i \) where \(G_i\), \( i\in I\) are elements from the cover. We shall speak of:
Examples of ball and sphere include the unit \(n-\)dimensional ball \(D^n\) and the unit \((n-1)-\)dimensional sphere \(S^{n-1}\) of \( \mathbb{R}^n \) centered around \((0, \dots, 0)\)
Distance between two subsets of a metric space: if \(A, B \subset (X, d)\) then \( dist(A, B) = \min\{ d(x, y): x\in A\,, y\in B \} \) and the diamter of \(A\) is defined as \(\operatorname{diam}(A) = \sup_{x, y\in A} d(x, y)\). A subset \(Y\) of a metric space \((X, d)\) is called bounded if \(\operatorname{diam}(Y)\) is finite.
Metric topology. If \( x_1 \in B_r(x_0) \) then \( B_{r_1}(x_1)\subset B_r(x_0) \) where \(r_1 = r - d(x_0, x_1)\). Therefore the intersection of two open balls contains another open ball of smaller radius. Moreover, open balls cover the entire space. Therefore, any metric space is a topological space: it has as a base the family of all open balls. This topology is called metric topology.
A top space whose topology is metric topology with respect to some metric is said to be metrizable.
Open balls centered at a given point of a metric space constitute a base at that point. The part of this base consisting of the balls of radii \(\frac{1}{n}\) for \( n =1, 2, 3, \dots\) is also a base.
Metric neighborhood: the metric neighborhood of a subset \(A\subset X\) is the set \( \mathcal{RA}(A) = \{ x\in X: \operatorname{dist}(A, x) < r \} = \bigcup_{x\in A} B_r(x) \).