# Why the emphasis on Projective Space in Algebraic Geometry?

I have no doubt this is a basic question. However, I am working through Miranda's book on Riemann surfaces and algebraic curves, and it has yet to be addressed.

Why does Miranda (and from what little I've seen, algebraic geometers in general) place so much emphasis on projective space when studying algebraic curves? Why is this the natural setting to conduct algebraic geometry in?

Also, projective spaces and curves in them are hard for me to visualize, and in general I don't have any good intuition about these objects. Do working algebraic geometers simply not visualize things as much, or are there some nice interpretations of projective spaces and algebraic curves I am missing that would make them seem more natural and give me more intuition about them?

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One reason for working in projective space is that you get all the intersections "right", without having to worry about exceptions. On the projective plane, any two distinct lines will intersect at exactly one point, no exceptions (not true in the affine plane); any line will intersect a curve of degree $2$ in two points (counting multiplicity), no exceptions (not true in the affine plane), etc. As for visualizing them, you can visualize the different "affine bits" and try to glue them together... –  Arturo Magidin Nov 24 '11 at 23:10
You might also think about why compact manifolds are often singled out. –  Dylan Moreland Nov 24 '11 at 23:37
Dear Potato, I just saw this question. Algebraic geometers do visualize things, and in particular with regard to projective curves, they tend to visualize them either as compact Riemann surfaces or as the real points of a curve, depending on the circumstances. Incidentally, when you ask about the emphasis on projective space, what alternative possible emphasis do you have in mind. It is in contrast to affine space, or do you have something else in mind? Regards, –  Matt E Jan 27 '12 at 3:12
Dear Matt E: You are correct. Affine space is what I grew up with, and projective space seems a bit weird to me. Perhaps I will just acclimate eventually. Thanks for your tips on visualization! –  Potato Jan 27 '12 at 21:00

The most appropriate answer will depend on why you are working through a book on Riemann surfaces and algebraic curves, but I will try to give some suggestions.

Since you mention Riemann surfaces, let's start with some analogy with smooth manifolds. The Whitney embedding theorem says that any smooth manifold can be embedded in $\mathbb{R}^N$ for $N$ sufficiently large, so we can always think of a smooth manifold as a submanifold of $\mathbb{R}^N$. This occasionally helps with intuition and visualization, and can simplify some constructions.

In the case of complex manifolds (e.g. Riemann surfaces), you might ask whether the same holds true holomorphically, i.e. whether any complex manifold can be holomorphically embedded in $\mathbb{C}^N$ for $N$ sufficiently large. It turns out that usually the answer is no. It is an easy consequence of the Liouville theorem that no compact complex manifold is a complex submanifold of $\mathbb{C}^N$. If you only care about compact complex manifolds, then $\mathbb{CP}^N$ turns out to be the best possible (see e.g. the Kodaira embedding theorem, which characterizes which compact complex manifolds are complex submanifolds of $\mathbb{CP}^N$).

If your motivation is the study of solutions to polynomial equations, then as mentioned in other answers and comments, projective spaces are the appropriate completions of affine space that allow as many solutions as possible, allowing various formulas (e.g. couting intersections) work without additional qualification.

About visualization: for curves in $\mathbb{CP}^2$, first take some affine chart $\mathbb{C}^2 \subset \mathbb{CP}^2$, and then look at the intersection with some "real slice" $\mathbb{R}^2 \subset \mathbb{C}^2$. For example if we look at the curve in $\mathbb{CP}^2$ given by the zero set of $x^2-yz$, by working on the affine chart $z\neq0$ this becomes $y = x^2$ on $\mathbb{C}^2$, and if we restrict to real $x,y$ we get a parabola.

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The reason for working in projective space is so that there are "as many solutions as possible" to polynomial equations.

There are two basic ways that a polynomial equation (or system of equations) can end up with no solutions. One way is that you have an equation which has no solution over your field (for example, $x^2+1=0$ when working over the reals) but has a solution over a larger field; this is resolved by moving to an algebraically closed field, such as the complex numbers. The other problematic case is the equation $0=1$. This case can't be resolved by changing fields, but is resolved by going from affine space into projective space!

For example, consider the 2 equations $x+y=1$ and $x+y=2$. If you try to solve these simultaneously, you get the contradiction $0=1$, so there is no solution. But if you work in the projective plane, there is a solution. Geometrically, these are 2 parallel lines, which intersect at the point at infinity corresponding to the direction of the parallel lines. Algebraically, if we think of these equations in the projective plane with projective coordinates $[x:y:z]$, then the equations become $x+y=z$ and $x+y=2z$, which have the intersection $[1:-1:0]$.

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Since there have been excellent answers on why one should work in projective space, let me add some comments on how to visualize it.

You probably know affine space $A^n$ sits in $P^n$ naturally: the complement of any hyperplane in $P^n$ is isomorphic to $A^n$. Let us denote affine coordinates by $x_1, \ldots, x_n$, and projective ones by $z_0, \ldots, z_n$, and embed $A^n$ in $P^n$ by sending $(x_1,\ldots, x_n)$ to $[1:x_1:,\ldots,x_n]$. i.e. $A^n = [x_0 \neq 0]$.

Now it is easy to see that $[x_0 = 0] \subset P^n$ is isomorphic to $P^{n-1}$ so we derive $$P^n = A^n \cup P^{n-1}$$ as sets.

We can think of this $P^{n-1}$ as the "points at infinity", i.e. the different "directions" on how to travel to infinity in the affine space. For example any line in $A^n$ meets the points at infinity at exactly one point corresponding to his slope (thats why parallel lines in $A^n$ which have the same slope, meet at the same point at infinity). Another example would be a parabola $y=x^2$, when we go to infinity, the tangent direction of the graph will eventually become almost vertical, thats why its point at infinity is $[0:1:0]$ (for this homogenize to $yz = x^2$ and set $z=0$).

Lastly, i find it easy to visualize the whole $P^n$ as the quotient of the n-sphere with anitpodal points identified, more specifically picking a set of representatives as the lower hemispehere plus the equator (where of course we still need to identify on the equator). So if n=2 and our field is the reals, we can pick the 2-sphere which is easily visualizable. Now if we restrict to the lower hemisphere and the equator, we found one representative for each line through the lower hemisphere, and on the equator we still need to identify points. You can see that the lower hemisphere (excluding the equator) is $A^2$, and the points on the equator are the points at infinity: $P^1$. Its also clear why parallel lines meet, they converge to the same point on the equator.