Geometry
Algebraic geometry
Studies the geometric shapes defined by solutions to systems of polynomial equations.
IntuitionWhat shapes hide inside polynomial equations?
Take a single equation like and plot every pair of numbers that satisfies it: you get a circle. Algebraic geometry asks the same question for any system of polynomial equations in any number of variables, over any field , even when the solution set has no simple picture and no formula for individual points. The resulting shapes are called varieties, and the whole subject grew out of turning geometric questions about them into algebra questions about polynomials.
SchoolFamiliar curves as solution sets
Analytic geometry already treats curves this way: the circle and an elliptic curve are both solution sets of a single polynomial equation in two variables. What changes in algebraic geometry is the ambition: instead of one curve at a time, study every solution set of every polynomial system at once, over fields other than the real numbers, and even without ever plotting a picture.
Here is a field (for instance the rationals, the reals, a finite field, or ), is affine -space, and are polynomials in . The set of common zeros is called an affine variety; every point on it satisfies all equations simultaneously.
The coordinate ring records exactly the polynomial functions that live on : two polynomials define the same function on precisely when their difference lies in the ideal of all polynomials vanishing on . Declaring the varieties themselves to be the closed sets gives the Zariski topology, in which open sets are complements of polynomial zero sets.
| Aspect | Affine variety | Projective variety |
|---|---|---|
| Ambient space | ||
| Points at infinity | None | Included |
| Example curve | ||
| Parallel lines | Never meet | Meet at infinity |
UndergraduateRigorous foundations: varieties, ideals and schemes
Let be an algebraically closed field and let be an ideal of . Then , where is the radical of .
Why is it true?
It gives an exact dictionary between algebra and geometry: radical ideals of the polynomial ring correspond bijectively to affine varieties, so questions about shapes can be answered by pure ring computations, and vice versa. Without the hypothesis that is algebraically closed the dictionary breaks (over the reals, generates a nontrivial ideal with empty zero set).
Proof
We sketch the weak form first: if is a proper ideal of then is nonempty. Pick a maximal ideal containing ; the quotient is a field, and it is a finitely generated -algebra. Zariski's lemma says any such field extension of is a finite algebraic extension of ; since is algebraically closed, this forces . The images of under this quotient map give a point with for every , so .
For the strong form , the inclusion is immediate: if then vanishes wherever every element of vanishes. The reverse inclusion uses the Rabinowitsch trick: to show implies , introduce a new variable and consider the ideal generated by together with in .
This enlarged ideal has empty zero set (any common zero would need every generator of to vanish, forcing to vanish there too, which contradicts ). By the weak Nullstellensatz just proved, the enlarged ideal must be the whole ring, so is a polynomial combination of the generators. Substituting and clearing denominators produces an explicit expression showing some power lies in , which is exactly .
Let and be two projective plane curves in over an algebraically closed field , of degrees and , sharing no common irreducible component. Counted with intersection multiplicity, they meet in exactly points.
Why is it true?
In the ordinary real plane, two curves can miss each other when roots become complex or when intersection points escape to infinity. Working over an algebraically closed field in projective space and counting tangencies with their natural algebraic multiplicity restores complete uniformity: the intersection count depends only on the degrees and .
Proof
Let and be the homogeneous polynomials of degrees and defining and . Choose projective coordinates so that the point lies on neither curve and so that no two intersection points share the same -line through .
Regard and as polynomials in the single variable with coefficients that are homogeneous polynomials in . Their Sylvester resultant is a nonzero homogeneous polynomial in (nonzero because and share no common factor), and homogeneity calculation on the Sylvester matrix shows that has degree exactly .
Over the algebraically closed field , any homogeneous polynomial in two variables of degree factors completely into linear forms, counted with multiplicity. Each linear factor corresponds to a line through containing a common zero of and , and the multiplicity of the factor matches the local intersection multiplicity at that point, giving the total .
In the 1960s Alexander Grothendieck replaced varieties with schemes: for any commutative ring , the affine scheme is the set of all prime ideals of equipped with the Zariski topology and a sheaf of local rings. Taking lets a single geometric object package the solutions of a polynomial system over the complex numbers and modulo every prime at once.
UndergraduateReal-World Applications and Worked Examples
Every TLS handshake and cryptocurrency signature relies on the group law of an elliptic curve over a finite field, a direct construction from algebraic geometry. In robotics, the inverse-kinematics problem for a -joint arm reduces by polynomial elimination to a degree- polynomial in one variable, telling engineers there are at most configurations for a target hand pose. In computer vision, reconstructing a 3D scene from multiple camera views is solved by finding points on projective varieties (trifocal tensors and fundamental matrices), while algebraic-geometry (Goppa) codes built from curves over finite fields protect data on deep-space links and storage drives.
Example: Chord-and-tangent addition on an elliptic curve
On the elliptic curve , compute the group sum of the two points and using the geometric chord-and-tangent rule.
Solution
By Bézout's theorem, a line in the projective plane meets the cubic curve in exactly points counted with multiplicity. The unique line passing through and is the horizontal axis .
Substituting into gives , which factors as . The three roots are , , and , so the third intersection point of the line with the curve is .
The group law defines as the reflection of the third intersection point across the -axis: sending fixes , hence .
Example: Camera vanishing point of parallel lines in projective space
Two parallel railway rails lie along the affine lines and . Embed the plane into the projective plane using homogeneous coordinates and find the exact point at infinity where the two rails meet.
Solution
Replace the affine coordinates by ratios and clear denominators to homogenize both equations: the first line becomes and the second becomes .
Subtracting the second homogeneous equation from the first gives , hence . Every intersection point therefore lies on the horizon line of points at infinity.
Substituting into yields , so . Since homogeneous coordinates are defined up to a nonzero scalar multiple, setting gives the unique vanishing point in .
Over an algebraically closed field , what does Hilbert's strong Nullstellensatz say the vanishing ideal of an ideal equals?
In the complex projective plane , a curve of degree and a curve of degree with no common component intersect in how many points (counted with multiplicity)?
In elliptic-curve cryptography, how is the sum of two distinct points on geometrically defined?
At which point at infinity in do the parallel affine lines and intersect?
References
- Robin Hartshorne (1977). Algebraic Geometry (Graduate Texts in Mathematics, Vol. 52) · DOI:10.1007/978-1-4757-3849-0
- David Mumford (1999). The Red Book of Varieties and Schemes (Lecture Notes in Mathematics, Vol. 1358) · DOI:10.1007/b62130