There is a close relationship between topologies and metric spaces. We will see that every metric space directly induces a topology based on its metric. (from a CS point of view, this means topologies are more general than metric spaces). Definition of Metric Space 🟩 We say that $(\mathcal{X}, d)$ is a metric space if $\mathcal{X}$ is a set and $d$ a function $\mathcal{X} \times \mathcal{X} \to \mathbb{R}$ such that: ...
Introduction to topological spaces We want now to extend the idea of continuity presented in limits, which is a function $f : E^{n} \to E^{n}$ is continuous if given $x$ then $\forall\varepsilon > 0$ $\exists \delta$ such that $\forall y : \lVert y -x \rVert < \delta \implies \lVert f(y) - f(x) \rVert < \varepsilon$. But we want to get rid of the idea of distance, and base our definition on the idea of neighborhoods, which in $E^{n}$ are just spherical radius centered around a point. ...
This small note is an introduction to Topology that follows the introductory arguments of (Armstrong 2013). Euler’s Theorem We will start our journey in topology following a classical example in the history of Mathematics the relation: $$ v - e + f = 2 $$ Valid for classical Polyhedrons. Basic definitions Polyhedron It’s a collection of plane polygons (see Programmazione lineare#Poliedro) such that: Every polygon shares each of its edges with exactly another polygon We have vertexes that can be shared by many polygons. Informally we have a piece of surface with a vertex. Theorem statement If we have a Polygon $P$ such that ...