The chapter contains the proof of the Chow’s Theorem, a fundamental result for algebraic varieties with an important consequence for the study of statistical models. It states that, over an algebraically closed field, like , the image of a projective (or multiprojective) variety X under a projective map is a Zariski closed subset of the target space, i.e., it is itself a projective variety.
The proof of Chow’s Theorem requires an analysis of projective maps, which can be reduced to a composition of linear maps, Segre maps and Veronese maps.
The proof also will require the introduction of a basic concept of the elimination theory, i.e., the resultant of two polynomials.
10.1 Linear Maps and Change of Coordinates
We start by analyzing projective maps induced by linear maps of vector spaces.
The nontrivial case concerns linear maps which are surjective but not injective. After a change of coordinates, such maps induce maps between projective varieties that can be described as projections .
Despite the fact that the words projective and projection have a common origin (in the paintings of the Italian Renaissance, e.g.) projections not always give rise to projective maps.
The description of the image of a projective variety under projections relies indeed on nontrivial algebraic tools: the rudiments of the elimination theory.
Let us start with a generalization of Example 9.3.3.
Definition 10.1.1
Consider a linear map which is injective.
Then defines a projective map (which, by abuse, we will still denote by ) between the projective spaces , as follows:
– for all , consider a set of homogeneous coordinates and send P to the point with homogeneous coordinates .
Such maps are called linear projective maps .
It is clear that the point does not depend on the choice of a set of coordinates for P, since is linear.
Notice that we cannot define a projective map in the same way when is not injective. Indeed, in this case, the image of a point P whose coordinates lie in the Kernel of would be indeterminate.
Since any linear map is defined by linear homogeneous polynomials, then it is clear that the induced map between projective spaces is indeed a projective map.
Example 10.1.2
Assume that the linear map is an isomorphism of . Then the corresponding linear projective map is called a change of coordinates .
Indeed corresponds to a change of basis inside .
The associated map is an isomorphism, since the inverse isomorphism determines a projective map which is the inverse of .
Remark 10.1.3
By construction, any change of coordinates in a projective space is a homeomorphism of the corresponding topological space, in the Zariski topology.
So, the image of a projective variety under a change of coordinates is still a projective variety.
From now on, when dealing with projective varieties, we will freely act with the change of coordinates on them.
The previous remark generalizes to any linear projective map.
Proposition 10.1.4
For every injective map , , the associated linear projective map sends projective subvarieties of to projective subvarieties of .
In topological terms, any linear projective map is closed in the Zariski topology, i.e., it sends closed sets to closed sets.
Proof
The linear map factorizes in a composition where is the inclusion which sends to , zeroes, and is a change of coordinates (notice that we are identifying the coordinates in with the first coordinates in ).
Thus, up to a change of coordinates, any linear projective map can be reduced to the map that embeds into as the linear space defined by equations .
It follows that if is the subvariety defined by homogeneous polynomials then, up to a change of coordinates, the image of X is the projective subvariety defined in by the polynomials .
The definition of linear projective maps, which requires that is injective, becomes much more complicated if we drop the injectivity assumption.
Let be a non injective linear map. In this case, we cannot define through a projective map as above, since for any vector in the kernel of , the image of the point is undefined, because vanishes.
On the other hand, the kernel of defines a projective linear subspace of , the projective kernel , which will be denoted by .
If is a subvariety which does not meet , then the restriction of to the coordinates of the points of X determines a well-defined map from X to .
Example 10.1.5
Consider the point of projective coordinates and let M be the linear subspace of of the points with first coordinate equal to 0, i.e., . Let be the linear surjective (but not injective) map which sends a vector to .
Notice that M defines a linear projective subspace , of projective dimension (i.e., a hyperplane), and . Moreover is exactly the projective kernel of . Let Q be any point of different from . If then determines a well defined projective point, which corresponds to the intersection of with the line . This is the reason why we call the projection from to . Notice that we cannot define a global projection , since it would not be defined in . What we get is a set-theoretic map . For any other choice of a point and a hyperplane H, not containing P, there exists a change of coordinates which sends P to and H to . Thus the geometric projection from P to H is equal to the map described above, up to a change of coordinates.
We can generalize the construction to projections from positive dimensional linear subspaces.
Namely, for a fixed consider the subspace , of dimension , formed by the -tuples of type and let M be the -dimensional linear subspace of -tuples of type . Let be the linear surjective (but not injective) map which sends any to .
Notice that N and M define disjoint linear projective subspaces, respectively , of projective dimension , and , of projective dimension n. Let Q be a point of (this means exactly that Q has coordinates , with for some index i between 0 and n). Then the image of Q under is a well defined projective point, which corresponds to the intersection of with the projective linear subspace spanned by and Q. This is why we get from a set-theoretic map , which we call the projection from to .
For any choice of two disjoint linear subspaces , of dimension , and , of dimension n,there exists a change of coordinates which sends to and to . Thus the geometric projection from to is equal to the map described above, up to a change of coordinates.
Example 10.1.6
Let be any surjective map, with kernel (of dimension ). We can always assume, up to a change of coordinates, that coincides with the subspace N defined in Example 10.1.5. Then considering the linear subspace defined in Example 10.1.5, we can find an isomorphism of vector spaces from M to such that , where is the map introduced in Example 10.1.5. Thus, after an isomorphism and a change of coordinates, acts on points of as a geometric projection.
Example 10.1.6 suggests the following definition.
Definition 10.1.7
Given a linear surjective map and a subvariety which does not meet , the restriction map is a well defined projective map, which will be denoted as a projection of X from . The subspace is also called the center of the projection.
Notice that is a projective map, since it is defined, up to isomorphisms and change of coordinates, by (simple) homogeneous polynomials (see Exercise 31).
Thus, linear surjective maps define projections from suitable subvarieties of to . Next section is devoted to prove that projections are closed, in the Zariski topology.
10.2 Elimination Theory
In this section, we introduce the basic concept of the elimination theory: the resultant of two polynomials.
The resultant provides an answer to the following problem:
– assume we are given two (not necessarily homogeneous) polynomials . Clearly both f and g factorize in a product of linear factors. Which algebraic condition must f, g satisfy to share a common factor, hence a common root?
Definition 10.2.1
Notice that when f is constant and g has degree , then by definition .
Example 10.2.2
Proposition 10.2.3
With the previous notation, f and g have a common root if and only if .
Proof
The proof is immediate when either f or g are constant (Exercise 33).
Let be a nontrivial element of the kernel, i.e., . Consider the factors of f, where the ’s are the roots of f (possibly some factor is repeated). Then, all these factors must divide . Since , at least one factor must divide g. Thus is a common root of f and g.
Conversely, if is a common root of f and g, then divides both f and g. Hence setting , , one finds a nontrivial element of the kernel of , so that .
We have the analogue construction if f, g are homogeneous polynomials in two or more variables.
Definition 10.2.4
If f, g are homogeneous polynomials in one can define the 0th resultant of f, g just by considering f and g as polynomials in , with coefficients in , and taking the determinant of the corresponding Sylvester matrix .
is thus a polynomial in .
Proposition 10.2.5
Less obvious, but useful, is the following remark on the resultant of two homogeneous polynomials.
Proposition 10.2.6
Let f, g be homogeneous polynomials in . Then is homogeneous.
Proof
Next, a fundamental property of the resultant is that it belongs to the ideal generated by f and g. We will not give a full proof of this property, and refer to the book [1] for it.
Instead, we just prove that belongs to the radical of the ideal generated by f and g, which is sufficient for our aims.
Proposition 10.2.7
Let f, g be homogeneous polynomials in . Then belongs to the radical of the ideal generated by f and g.
Proof
10.3 Forgetting a Variable
In Sect. 10.1 we introduced the projection maps as projectifications of surjective linear maps . It is important to recall that when has nontrivial kernel (i.e., when ) the projection is not defined as a map between the two projective spaces and . On the other hand, for any subvariety which does not intersect the projectification of , the map corresponds to a well defined projective map .
In this section, we describe the image of a variety in a projection from a point, i.e., when the center of projections has dimension 0. It turns out, in particular, that is itself an algebraic variety.
Through this section, consider the surjective linear map which sends to . The kernel of the map is generated by . Thus, if X is a projective variety in which misses the point , then the map induces a well defined projective map : the projection from (see Definition 10.1.7).
For any point , , the inverse image of Q in X is the the intersection of X with the line joining and Q. Thus is the set of points in X with coordinates , for some .
Remark 10.3.1
For all , the inverse image is finite.
Indeed is a Zariski closed set in the line , and it does not contain , since . The claim follows since the Zariski topology on a line is the cofinite topology.
Remark 10.3.2
is a homogeneous radical ideal in .
Indeed is obviously an ideal. Moreover for any , any homogeneous component of g belongs to J, because J is homogeneous, and does not contain . Thus , and this is sufficient to conclude that is homogeneous (see Proposition 9.1.15).
If for some , then , because J is radical, moreover g does not contain . Thus also .
We prove that is the projective variety defined by . We will need the following refinement of Lemma 9.1.5:
Lemma 10.3.3
Let be a finite set of points in . Then there exists a linear form such that for all i.
If none of the ’s belong to the variety defined by a homogeneous ideal J, then there exists such that for all i.
Proof
Fix a set of homogeneous generators of J.
First assume that all the ’s are linear. Then the ’s define a subspace L of the space of linear homogeneous polynomials in . For each , the set of linear forms in L that vanish at is a linear subspace of L, which is properly contained in L, because some does not vanish at . Since a nontrivial complex linear space cannot be the union of a finite number of proper subspaces, we get that for a general choice of , the linear form does not belong to any , thus for all i. This proves the second claim for ideals generated by linear forms.
The first claim now follows soon, since the (irrelevant) ideal J generated by all the linear forms defines the empty set.
For general , call the degree of and If is a linear form that does not vanish at any , then is a form of degree d that vanishes at precisely when vanishes. The forms define a subspace of the space of forms of degree d. For all i, the set of forms in that vanish at is a proper subspace of . Thus, as before, for a general choice of , the form is an element of J which does not vanish at any .
Theorem 10.3.4
The variety defined in by the ideal coincides with .
Proof
Conversely, identify with the hyperplane , and fix a point . Consider an element that does not vanish at and let W be the variety defined by f. The intersection of W with the line is a finite set . Moreover no can belong to X, since is empty. Thus, by Lemma 10.3.3, there exists that does not vanish at any . Consider the resultant . By Proposition 10.2.7, h belongs to the radical of the ideal generated by f, g, thus it belongs to J, which is a radical ideal. Moreover h does not contain the variable . Thus . Finally, from Proposition 10.2.5 it follows that . Then Q does not belong to the variety defined by .
Remark 10.3.5
A direct consequence of Theorem 10.3.4 is that the projection is a closed map, in the Zariski topology.
Indeed any closed subset Y of a projective variety X is itself a projective variety, thus by Theorem 10.3.4 the image of Y in is Zariski closed.
We can repeat all the constructions of this section by selecting any variable instead of and performing the elimination of . Thus we can define the i -th resultant and use it to prove that projections with center any coordinate point are closed maps.
10.4 Linear Projective and Multiprojective Maps
In this section, we prove that projective maps defined by linear maps of projective spaces are closed in the Zariski topology.
Remark 10.4.1
Let V, W be linear space, respectively, of dimension .
The choice of a basis for V corresponds to fixing an isomorphism between V and . Thus we can identify, after a choice of the basis, the projective space with . We will use this identification to introduce all the concepts of Projective Geometry into . Notice that two such identifications differ by a change of basis in , thus they are equivalent, up to an isomorphism of .
Similarly, the choice of a basis for W corresponds to fixing an isomorphism between W and .
A linear map corresponds, under the choice of a basis, to a linear map . Thus, the study of projective maps in and induced by linear maps corresponds to the study of projective maps in induced by linear maps .
Proposition 10.4.2
Let be a linear map. Let be the projective kernel of and let be a projective subvariety such that . Then induces a projective map (that we will denote again with ) which is a closed map in the Zariski topology.
Proof
The map factors through a linear surjection followed by a linear injection . After the choice of a basis, the space can be identified with , where , so that can be considered as a map and as a map . Since X does not meet the kernel of , by Definition 10.1.7 induces a projection . The injective map defines a projective map , by Definition 10.1.1. The composition of these two maps is the projective map of the claim. It is closed since it is the composition of two closed maps.
Notice that the projective map is only defined up to a change of coordinate, since it relies on the choice of a basis in .
The previous result can be extended to maps from multiprojective varieties to multiprojective spaces.
Example 10.4.3
Of course, the same statement holds if we replace i with any index or if we mix up the indices. Moreover we can apply it repeatedly.
Similarly, consider a linear map and a multiprojective subvariety such that X is disjoint from . Then there is an induced linear map: which is multiprojective and closed.
Proposition 10.4.4
Any projection from a multiprojective space to any of its factor is a closed projective map.
Proof
The map is defined by sending to . Thus the map is defined by multihomogeneous polynomials (of multidegree 1 in the ith set of variables and 0 in the other sets).
To prove that is closed, we show that the image in of any multiprojective variety is a projective subvariety of . Let be a multiprojective subvariety and let . If , there is nothing to prove. Thus the claim holds if , i.e., is a point. We will proceed then by induction on , assuming that .
Let Q be a point of . Then no points of type with can belong to X. Thus X does not contain points , with in the projective kernel of the projection from Q.
The claim now follows from Example 10.4.3.
Corollary 10.4.5
Any projection from a multiprojective space to a product of some of its factors is a closed projective map.
10.5 The Veronese Map and the Segre Map
We introduce now two fundamental projective and multiprojective maps, which are the cornerstone, together with linear maps, of the construction of projective maps. The first map, the Veronese map, is indeed a generalization of the map built in Example 9.1.33.
We recall that a monomial is monic if its coefficient is 1.
Definition 10.5.1
Fix n, d and set . There are exactly monic monomials of degree d in variables . Let us call these monomials, for which we fixed an order.
The Veronese map of degree d in is the map which sends a point to .
Notice that a change in the choice of the order of the monic monomials produces simply the composition of the Veronese map with a change of coordinates. After choosing an order of the variables, e.g., , a very popular order of the monic monomials is the order in which preceeds if in the smallest index i for which we have . This order is called lexicographic order , because it reproduces the way in which words are listed in a dictionary. In Sect. 13.1 we will discuss different types of monomial orderings.
Notice that we can define an analogue of a Veronese map by choosing arbitrary (nonzero) coefficients for the monomials ’s. This is equivalent to choose a weight for the monomials. The resulting map has the same fundamental property of our Veronese map, for which we choose to take all the coefficients equal to 1.
Remark 10.5.2
The Veronese maps are well defined, since for any there exists an index i with , and among the monomials there exists the monomial , which satisfies .
The Veronese map is injective. Indeed if and , have the same image, then the powers of the ’s and the ’s are equal, up to a scalar multiplication. Thus, up to a scalar multiplication, one may assume for all i, so that , for some choice of a d-root of unit . If the ’s are not all equal to 1, then there exists a monic monomial M such that , thus , which contradicts .
Because of its injectivity, sometimes we will refer to a Veronese map as a Veronese embedding .
The images of Veronese embeddings will be denoted as Veronese varieties .
Example 10.5.3
The Veronese map sends the point of to the point .
The Veronese map sends the point to the point (notice the lexicographic order).
Proposition 10.5.4
The image of a Veronese map is a projective subvariety of .
Proof
We define equations for .
Consider -tuples of nonnegative integers , and , with the following property:
To see that , take . Each corresponds to a monic monomial in the ’s, and we assume they are ordered in the lexicographic order.
Then at least one coordinate corresponding to a power is nonzero. Just to fix the ideas, assume that , which corresponds to in the lexicographic order, is different from 0. After multiplying the coordinates of Q by , we may assume . Then consider the coordinates corresponding to the monomials . In the lexicographic order, they turn out to be , respectively. Put . We claim that Q is exactly .
We observe that all the forms are quadratic forms in the variables ’s of . Thus the Veronese varieties are defined in by quadratic equations.
Example 10.5.5
Example 10.5.6
As a consequence of Proposition 10.5.4, one gets the following result.
Theorem 10.5.7
All the Veronese maps are closed in the Zariski topology.
Proof
We need to prove that the image in of a projective subvariety of is a projective subvariety of .
First notice that if F is a monomial of degree kd in the variables of , then it can be written (usually in several ways) as a product of k monomials of degree d in the ’s, which corresponds to a monomial of degree k in the coordinates of . Thus, any form f of degree kd in the ’s can be rewritten as a form of degree k in the coordinates ’s.
Take now a projective variety and let be homogeneous generators for the homogeneous ideal of X. Call the degree of and let be the smallest multiple of d bigger or equal to . Then consider all the products , . These products are homogeneous forms of degree in the ’s. Moreover a point satisfies all the equations if and only if it satisfies , since at least one coordinate of P is nonzero.
With the procedure introduced above, transform arbitrarily each form in a form of degree k in the variables ’s. Then we claim that is the subvariety of defined by the equations . Since is closed in , this will complete the proof.
Indeed let Q be a point of . The coordinates of Q are obtained by the coordinates of its preimage by computing in P all the monomials of degree d in the ’s. Thus for all i, j if and only if for all i, j, i.e., if and only if for all i. The claim follows.
Example 10.5.8
Next, let us turn to the Segre embeddings.
Definition 10.5.9
Fix and . There are exactly monic monomials of multidegree (i.e., multilinear forms) in the variables . Let us choose an order and denote with these monomials.
The Segre map of is the map which sends a point to .
The map is well defined, since for any there exists , and among the monomials there is , which satisfies .
Notice that when , then the Segre map is the identity.
Proposition 10.5.10
The Segre maps are injective.
Proof
Make induction on n, the case being trivial.
We can repeat the argument for the remaining factors of P, Q (), obtaining .
Because of its injectivity, sometimes we will refer to a Segre map as a Segre embedding .
The images of Segre embeddings will be denoted as Segre varieties .
Example 10.5.11
The Segre embedding of to sends the point to .
Recall the general notation that with [n] we denote the set .
Proposition 10.5.12
The image of a Segre map is a projective subvariety of .
Since the set of tensors of rank one corresponds to the image of a Segre map, the proof of the proposition is essentially the same as the proof of Theorem 6.4.13. We give the proof here, in the terminology of maps, for the sake of completeness.
Proof
We define equations for .
To see the converse, we make induction on the number n of factors. The claim is obvious if , for in this case the equations are trivial and the Segre map is the identity on .
Assume that the claim holds for factors. Take . Each corresponds to a monic monomial of multidegree in the ’s. Fix a coordinate m of Q different from 0. Just to fix the ideas, we assume that m corresponds to . If m corresponds to another multilinear form, the argument remains valid, it just requires heavier notation.
Consider the point obtained from Q by deleting all the coordinates corresponding to multilinear forms in which the last factor is not . If we consider , then can be considered as a point in , moreover the coordinates of satisfy all the equation , where are -tuples and . It follows by induction that corresponds to the image of some in the Segre embedding in .
To prove the claim, take , and . Then we have and for , while and . Thus , , and, by induction . Since , the claim follows.
We observe that all the forms are quadratic forms in the variables ’s of . Thus the Segre varieties are defined in by quadratic equations.
Example 10.5.13
Hence the image of is the variety defined in by the equation . It is a quadric surface (see Fig. 10.1).
Example 10.5.14
Example 10.5.15
We can give a more direct representation of the equations defining the Segre embedding of the product of two projective spaces .
Namely, we can plot the coordinates of in a matrix, putting in the entry ij the coordinate corresponding to .
Conversely, any matrix (except for the null matrix) corresponds uniquely to a set of coordinates for a point . Thus we can identify with the projective space over the linear space of matrices of type over .
Thus, the image of a Segre embedding of two projective space can be identified with the set of matrices of rank 1 (up to scalar multiplication) in a projective space of matrices.
As a consequence of Proposition 10.5.12, one gets the following result.
Theorem 10.5.16
All the Segre maps are closed in the Zariski topology.
Proof
We need to prove that the image in of a multiprojective subvariety X of is a projective subvariety of .
First notice that if F is a monomial of multidegree in the variables of V, then it can be written (usually in several ways) as a product of k multilinear forms in the ’s, which corresponds to a monomial of degree d in the coordinates of . Thus, any form f of multidegree in the ’s can be rewritten as a form of degree d in the coordinates ’s.
Take now a projective variety and let be multihomogeneous generators for the ideal of X. Call the multidegree of and let . Consider all the products . These products are multihomogeneous forms of multidegree in the ’s. Moreover a point satisfies all the equations if and only if it satisfies , since for all i at least one coordinate of P is nonzero.
With the procedure introduced above, transform arbitrarily each form in a form of multidegree in the variables of . Then we claim the is the subvariety of defined by the equations . Since is closed in , this will complete the proof.
To prove the claim, let Q be a point of . The coordinates of Q are obtained by the coordinates of its preimage by computing all the multilinear forms in the ’s at P. Thus for all if and only if for all k. The claim follows.
Example 10.5.17
Remark 10.5.18
Even if we take a minimal set of forms ’s that define , with the procedure of Theorem 10.5.16 we do not find, in general, a minimal set of forms that define .
Indeed the ideal generated by the forms constructed in the proof of Theorem 10.5.16 needs not, in general, to be radical or even saturated.
We end this section by pointing out a relation between the Segre and the Veronese embeddings of projective and multiprojective spaces.
Definition 10.5.19
A multiprojective space is cubic if for all i.
We can embed into the cubic multiprojective space (n times) by sending each point P to . We will refer to this map as the diagonal embedding. It is easy to see that the diagonal embedding is an injective multiprojective map.
Example 10.5.20
Consider the cubic product and the diagonal embedding .
The point of is mapped to . Thus the Segre embedding of , composed with , sends P to the point .
We see that the coordinates of the image have a repetition: the second and the third coordinates are equal, due to the commutativity of the product of complex numbers. In other words the image satisfies the linear equation in .
We can get rid of the repetition if we project by forgetting the third coordinate, i.e., by taking the map that maps to . The projective kernel of this map is the point [0 : 0 : 1 : 0], which does not belong to , since cannot have . Thus we obtain a well defined projection .
The composition corresponds to the map which sends to . In other words is the Veronese embedding of in .
The previous example generalizes to any cubic Segre product.
Theorem 10.5.21
Consider a cubic multiprojective space , with factors. Then the Veronese embedding of degree r corresponds to the composition of the diagonal embedding , the Segre embedding and one projection.
Proof
For any the point has repeated coordinates. Indeed for any permutation on [r] the coordinate corresponding to of is equal to , hence its equal to the coordinate corresponding to . To get rid of these repetition, we can consider coordinates corresponding to multilinear forms that satisfy:
(**) .
By easy combinatorial computations, the number of these forms is equal to . Forgetting the variables corresponding to multilinear forms that do not satisfy condition (**) is equivalent to take a projection , where . The kernel of this projections is the set of -tuples in which the coordinates corresponding to linear forms that satisfy (**) are all zero. Among these coordinates there are those for which , . So cannot meet the projective kernel of , because that would imply .
Thus is well defined for all . The coordinate of corresponding to is equal to , where, for , is the number in which i appears among . Then .
It is clear then that computing corresponds to computing (once) in P all the monomials of degree r in .
10.6 The Chow’s Theorem
We prove in this section the Chow’s theorem: every projective or multiprojective map is closed in the Zariski topology.
Proposition 10.6.1
Every projective map factors through a Veronese map, a change of coordinates and a projection.
Proof
By Proposition 9.3.2, there are homogeneous polynomials of the same degree d, which do not vanish simultaneously at any point , and such that f is defined by the ’s. Each is a linear combination of monic monomials of degree d. Hence, there exists a change of coordinates g in the target space of such that f is equal to followed by g and by the projection to the first coordinates. Notice that since for all , then the projection is well defined on the image of .
A similar procedure holds to describe a canonical decomposition of multiprojective maps.
Proposition 10.6.2
Every multiprojective map factors through Veronese maps, a Segre map, a change of coordinates and a projection.
Proof
By Proposition 9.3.11, there are multihomogeneous polynomials in the ring of the same multidegrees , which do not vanish simultaneously at any point , and such that f is defined by the ’s. Each is a linear combination of products of monic monomials, of degrees , in the set of coordinates , respectively. If denotes the Veronese embedding of degree of into the corresponding space , then f factors through followed by a multilinear map , which in turn is defined by multihomogeneous polynomials of multidegree (multilinear forms). Each is a linear combination of products of n coordinates in the sets , respectively. Hence F factors through a Segre map , followed by a change of coordinates in , which sends the linear polynomial associated to the ’s to the first coordinates of , and then followed by a projection to the first s coordinates.
Now we are ready to state and prove the Chow’s Theorem.
Theorem 10.6.3
(Chow’s Theorem) Every projective map is Zariski closed, i.e., the image of a projective subvariety is a projective subvariety.
Every multiprojective map is Zariski closed.
Proof
In view of the two previous propositions, this is just an obvious consequence of Theorems 10.5.7 and 10.5.16.
We will see, indeed, in Corollary 11.3.7, that the conclusion of Chow’s Theorem holds for any projective map between any projective varieties.
Example 10.6.4
Example 10.6.5
Let us consider the subvariety Y of , defined by the multihomogeneous polynomial , of multidegree (1, 0) in the coordinates of . Y corresponds to .
The image of Y is a projective subvariety of , which is contained in Q, but it is no longer defined by g and another polynomial: we need two polynomials, other than g.
Namely, Y is defined also by the two multihomogeneous polynomials, of multidegree (1, 1), and . Thus s(Y) is defined in by . (Indeed, in this case, alone are sufficient to determine s(Y), which is a line).
Other examples and applications are contained in the exercise section.
10.7 Exercises
Exercise 31
Recall that a map between topological spaces is closed if it sends closed sets to closed sets.
Prove that the composition of closed maps is a closed map, the product of closed maps is a closed map, and the restriction of a closed map to a closed set is itself a closed map.
Exercise 32
Given a linear surjective map and a subvariety which does not meet , find the polynomials that define the projection of X from , in terms of the matrix associated to .
Exercise 33
Let f, g be nonzero polynomials in , with f constant. Prove that the resultant R(f, g) is nonzero.