An Explicit Example of the Proof of the Nullstellensatz
11 Jan 2022 - Tags: sage
I’m in an algebraic geometry class right now, and a friend was struggling conceptually with the proof of the strong nullstellensatz. I thought it might be helpful to see a concrete example of the idea, since the proof is actually quite constructive! Which brings us to this post:
Formally, we’re going to assume the weak nullstellensatz, and use it to show the strong nullstellensatz. That is, we’ll assume
The Weak Nullstellensatz
$V(\mathfrak{a}) = \emptyset$ if and only if $\mathfrak{a} = (1)$
Purely algebraically, this says:
“The only way $f_1, f_2, \ldots, f_r$ can fail to have a common zero is if $(f_1, f_2, f_3, \ldots, f_r) = (1)$.”
and we’ll show
The Strong Nullstellensatz
$I(V(\mathfrak{a})) = \sqrt{\mathfrak{a}}$
Again, purely algebraically, this says:
“The only way $g, f_1, f_2, \ldots, f_r$ can all be $0$ simultaneously is if (for some $n$) $g^n$ is a linear combination of the $f_i$.”
Both of these are theorems of the form “the obvious issue is the only one”. Obviously if $1 = p_1 f_1 + p_2 f_2 + \ldots + p_r f_r$, then the $f_i$ cannot all be $0$ simultanously. Indeed, if \(f_i(x^*) = 0\) for all $i$, then evaluating both sides of the above at \(x^*\) gives $1 = 0$, which is a problem. The weak nullstellensatz says that this is the only reason a family of polynomials won’t have a common root.
Similarly, it’s obvious that if $g^n = p_1 f_1 + \ldots + p_r f_r$, then at any common zero of the $f_i$, $g = 0$ too. Again, if we evaluate both sides at $x^*$ we find \(g(x^*)^n = 0\), and so \(g(x^*) = 0\) too (since a field has no nontrivial nilpotents). The strong nullstellensatz says that this is the only way for $g$ to share a zero with the $f_i$.
Now, it turns out the weak nullstellensatz has computational content. That is, if $f_1, \ldots, f_r$ don’t have a common zero, there’s a computer program1 that will actually find the $p_i$ so that $1 = p_1 f_1 + \ldots + p_r f_r$.
For instance, let’s take a simple example:
\[f_1 = xy - 1 \quad \quad f_2 = x+y \quad \quad f_3 = xy^3 \quad \quad f_4 = yx^3\]First, let’s check that these polynomials really don’t have any points in common:
Next we can see that they generate the ideal $(1)$.
Of course, this means we should be able to write $1$ as a linear combination of the $f_i$:
and indeed, these are the coefficients to get $1$
So now what about the strong nullstellensatz?
Let’s take $g = yx + x + 1$, which vanishes at every point of the variety defined by $x^2 + 2x + 1$ and $y$ (do you see why?).
Then we expect $g^n \in (x^2 + 2x + 1, y)$ for some $n$, and we’ll get there by the Rabinowitsch trick:
We’ll add a variable $z$ to the mix, and notice that $x^2 + 2x + 1$, $y$, and $(yx + x + 1)z - 1$ don’t have any common zeroes.
Indeed, if $x^2 + 2x + 1$ or $y$ is nonzero at some point, then we’re done. But if they’re both zero, then we know $g = yx + x + 1$ is zero as well. Then $(yx + x + 1)z - 1 = gz - 1 = 0z - 1 = -1 \neq 0$.
But then, by the weak nullstellensatz, that means these three polynomials must generate the ideal $(1)$ in $k[x,y,z]$!
Indeed,
So we know that
\[1 = p_1 f_1 + p_2 f_2 + p_3 (gz - 1)\]or
\[1 = z^2 (x^2 + 2x + 1) + (x^2 z^2 + xz^2 + xz) y + (-xz - z - 1)(gz - 1)\]Now for the slick trick! We’re working in an ideal containing $zg - 1$, which means that $z = \frac{1}{g}$ in all of our computations2! So let’s take this expression and plug in $z = \frac{1}{g}$ to get
\[1 = \frac{1}{g^2} f_1 + \left ( \frac{x^2}{g^2} + \frac{x}{g^2} + \frac{x}{g} \right ) f_2 + \left ( -\frac{x}{g} - \frac{1}{g} - 1 \right ) 0\]Of course, we can clear the denominators by multiplying through by $g^2$ to see
\[g^2 = f_1 + (x^2 + x + xg) f_2 \in (f_1, f_2)\]So we found that, for some $n$, $g^n \in (f_1, f_2)$. As desired.
It turns out that this is exactly how the proof goes in general!
Say you give me polynomials $f_1, \ldots, f_r, g \in k[x_1, \ldots, x_m]$ so that $g$ vanishes whenever all the $f_i$ do.
Then we look at the ideal (in $k[x_1, \ldots x_m, z]$)
\[(f_1, \ldots, f_r, zg - 1)\]which must equal $(1)$ by the weak nullstellensatz.
Then a computation, which sage will happily do for us, gives us polynomials $p_1, \ldots, p_{r+1} \in k[x_1, \ldots, x_m, z]$ so that
\[1 = p_1 f_1 + \ldots + p_r f_r + p_{r+1} (zg - 1)\]Then we plug in $\frac{1}{g}$ for $z$ to get a new expression
\[1 = p_1 \left ( \vec{x}, \frac{1}{g} \right ) f_1(\vec{x}) + \ldots + p_r \left ( \vec{x}, \frac{1}{g} \right ) f_r(\vec{x})\]This is a polynomial with $g$s in the denominator. So we multiply both sides by some $g^n$ to clear denominators, and we find
\[g^n = g^n p_1( \vec{x}, 1 ) f_1 + \ldots + g^n p_r( \vec{x}, 1 ) f_r\]Notice that the $p_i(\vec{x}, 1)$ are polynomials in $x_1, \ldots, x_m$, since we’ve plugged in $1$ for $z$ everywhere. This means we’ve shown $g^n$ is a linear combination of the $f_i$, so $g^n \in (f_1, \ldots, f_r)$, as desired.
Another quick post today! Hopefully other people find this helpful too ^_^.
I do have a few bigger ones in the pipeline, but I won’t say exactly what. I’ve learned that saying what post you’re planning to write next is a guaranteed way to not actually write it, haha.
See you soon!
-
If you’re interested in this, you’ll want to read about gröbner bases. The actual algorithm for computing with these is buchberger’s algorithm.
I really liked Adams and Loustaunau’s An Introduction to Gröbner Bases, which is a very polite introduction. I’ve heard great things about Cox, Little, and O’Shea’s Ideals, Varieties, and Algorithms: An Introduction to Computational Algebraic Geometry and Commutative Algebra, though I haven’t gotten around to reading it myself. ↩
-
There’s a lot to be said about precisely why this trick works. It’s really because we’re looking at the homomorphism
\[k[x,y,z] \to k(x,y)\]sending $x \mapsto x$, $y \mapsto y$, and $z \mapsto \frac{1}{g}$.
This is quickly seen to be injective, so it preserves and reflects truth. We solve our problem in $k(x,y)$, but recover a formula of polynomials in $x$ and $y$ that gets reflected back to $k[x,y]$ under this embedding.
For more information about this technique of “permanence of identities”, you can see this blog post of mine. ↩