I've seen that one can decompose $\mathbb{R}P^2$ into a 0-cell, 1-cell and 2-cell:
$\mathbb{R}P^2 = \{[1:0:0] \} \cup \{[x:1:0] : x \in \mathbb{R}\} \cup \{[x:y:1]: x,y \in \mathbb{R}\}$
I have a couple questions about this:
- Is $ \{[x:y:0] : x,y \in \mathbb{R}\} = \{[x:y:1] : x,y \in \mathbb{R}\}$ since as I understand the former is just the collection of points $(x,y)$, whereas the latter is all the lines $y = \lambda x$. If the difference is to do with points at infinity, how does $\{[x:1:0] : x \in \mathbb{R}\}$ capture these? Or are they the same and the latter is preferred just to make the cell 2 dimensional?
- Is the correct decomposition of $\mathbb{R}P^n$ into $1, \dots, n$ cells:
$$\begin{align} \mathbb{R}P^n = &\{[1:0:\dots:0] \}\\ &\cup \{[x_1:1:0:\dots:0] : x_1 \in \mathbb{R}\} \\& \cup \{[x_1:x_2:0:\dots:0:1] : x_1,x_2 \in \mathbb{R}\} \\& \cup \vdots \\&\cup \{[x_1:x_2:\dots:x_n:1] : x_1,x_2, \dots x_n \in \mathbb{R}\} \end{align}$$
TL;DR: The convention is that the homogeneous coordinate $[x:y:1]$ is understood to represent the Cartesian coordinate $(x,y)$, while the homogeneous coordinate $[x:y:0]$ is understood to represent a point that's at infinity.