Tangent spaces and Jacobian criteria
Linearize a complete equation ideal, compare tangent and local dimensions, and keep reducedness and perfect-field assumptions explicit.
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The question for today
What you’ll understand
- Derive the Zariski tangent space from first-order substitutions.
- Compute Jacobian kernels using generators of the actual defining ideal.
- State when the tangent dimension detects nonsingularity and smoothness.
A tangent space retains the first-order part of every equation near a point. At a nonsingular point it has the expected local dimension, but at a singular point some first-order constraints disappear and the tangent space becomes too large. This is an algebraic linearization, not a limit of plotted secants. The computation depends on which ideal defines the object, and its interpretation as smoothness depends on the ground field.
First-order points and a finite linear system
Let X be a reduced affine algebraic set over an algebraically closed field and p a point of X. A tangent vector v is an ambient vector for which every defining polynomial vanishes at p+εv modulo ε². Expanding a polynomial leaves its value at p plus ε times the directional derivative. The constant term already vanishes; setting each linear coefficient to zero gives a vector space. The dual-number symbol ε is formal and nilpotent, so this definition needs no topology, numerical step size, or analytic convergence.
If f₁ through f_r generate the full ideal I(X), their Jacobian rows suffice. For a combination h_i f_i, differentiation at p produces h_i(p)df_i(p), because f_i(p)=0 removes the other product-rule term. Thus the common kernel is unchanged by adding redundant ideal generators. This reasoning also works for an explicitly chosen equation scheme, but then the ideal must not be silently replaced by its radical. A squared equation may lose a first-order row while retaining nonzero nilpotent structure.
Compare with local dimension, not a generator count
The tangent dimension is at least the local dimension at p. Nonsingularity means equality, or equivalently regularity of the local ring. For an irreducible d-dimensional affine variety over the algebraically closed field, every closed point has local dimension d, so the Jacobian rank criterion becomes rank n−d. For a reducible set, use the local dimension, the largest dimension among components through p. Merely subtracting the number of displayed equations ignores dependencies and can misclassify both smooth and singular points.
Over a perfect field, a finite-type variety is smooth at a point exactly when it is geometrically regular there; for perfect fields regularity and smoothness agree. Algebraically closed fields are perfect in every characteristic, so our criterion is not restricted to characteristic zero. Over an imperfect field, regularity alone is insufficient. For instance the field k[z]/(z^p−s), with k=F_p(s), is a regular zero-dimensional ring, yet its inseparable extension becomes nonreduced after adjoining a pth root of s. Its vanishing derivative signals failure of smoothness, not failure of its field ring to be regular.
The ideal and the tangent cone carry different information
The reduced point V(x) in the affine line has zero tangent dimension. The equation scheme defined by x² has the same ordinary point but a one-dimensional tangent space, because its equation has no linear term at zero. Neither computation is erroneous when its object is stated correctly. The mistake is claiming the tangent space of the reduced point while linearizing only the nonradical ideal. In symbolic work, establishing radicality or identifying the intended scheme is therefore part of the setup rather than an optional cleanup step.
The tangent space also differs from the tangent cone. At a cusp, the full linearized space can be an entire plane, while the lowest-degree nonzero equation singles out a repeated line in the tangent cone. A crossing likewise has the full plane as its tangent space but two lines in its tangent cone. The vector-space dimension diagnoses first-order excess; the cone retains leading higher-order directions and multiplicities. Neither should be described as the set of velocities of a single chosen parameterization without checking how that parameterization behaves at the singularity.
Work it through
A regular parabola point and a singular cusp
In characteristic zero, compute tangent spaces for P=V(y−x²) at (1,1) and C=V(y²−x³) at the origin and at (1,1). Compare each with its local dimension.
For P the Jacobian row is (−2x,1), hence (−2,1) at (1,1). Its kernel consists of (a,2a), a one-dimensional line. The curve has local dimension one, so this point is nonsingular.
For C the row is (−3x²,2y). At the origin it is zero, leaving every vector in k² tangent. The irreducible cusp still has local dimension one; tangent dimension two therefore proves singularity there.
At the cusp point (1,1), the row is (−3,2), of rank one. The kernel is spanned by (2,3), has dimension one, and matches the local curve dimension. Thus that point is nonsingular, despite belonging to a curve with a singular point elsewhere.
The parabola point and the nonzero cusp point have one-dimensional tangent spaces; the cusp origin has a two-dimensional tangent space and is singular.
The living notebook
Explore the model
Interactive lab · function
A zero derivative need not mean a singular curve
Pause and Reset, then set a = 1 and x = 1: predict slope two for the graph y=x². Reset and set both a = 1 and x = 0: its displayed slope becomes zero. Nevertheless the equation y−x² always has y derivative one, so the algebraic tangent space is a line at both points. Compare this with the cusp calculation, whose entire Jacobian row vanishes at the origin. The instrument plots a smooth parabola and does not render the cusp or calculate a general Jacobian.
- y at chosen x
- 0.608
- Tangent slope · 2ax
- 1.35
- Signed area · ax³/3
- 0.182
This lab uses only y = ax². Playback traces the curve within the fixed integration interval from 0 to x; it does not estimate numerical error or change the chosen point. Parameter changes pause playback and recompute the model at the current elapsed time. Reset restores both parameters and returns time to zero. Playback starts paused. Adjust either parameter, then choose Play or Step.
Look forA graph's horizontal tangent is different from a defining equation whose whole differential vanishes.
Pause & reason
Check your understanding
Your turn
Try it yourself
Compute tangent spaces of the reduced union at (0,0) and (2,0) in characteristic zero. State whether each point is nonsingular.
Take a moment to make a prediction or work it out on paper. Open a hint when you need one.
Give me a hint
The Jacobian has one row (y,x). The local dimension of this union of lines is one at both points.
Compare with the solution
At the origin the row (y,x) is (0,0), so the tangent space is all k² and has dimension two. Local dimension is one; the crossing is singular. At (2,0) the row is (0,2), so a tangent vector (a,b) must satisfy 2b=0, giving the horizontal line b=0. Its dimension equals the local dimension one, and the point is nonsingular. The ideal (xy) is radical because it is the intersection (x)∩(y); thus this calculation concerns the reduced union and is not an artefact of repeated equations.
Keep the idea
Take it with you
- Tangent vectors solve the first-order equations of the actual defining ideal.
- Nonsingularity compares tangent dimension with local dimension, not with a raw equation count.
- Perfect fields allow regularity to detect smoothness; nonreduced equations and inseparable fields require care.
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