Singularities of Restriction Varieties in $OG(k, n)$
Se\c{c}kin Adal{\i}

TL;DR
This paper introduces a resolution of singularities for restriction varieties in orthogonal Grassmannians and characterizes their singular locus through the exceptional components of this resolution.
Contribution
It provides the first explicit resolution of singularities for restriction varieties in $OG(k, n)$ and describes their singular locus in terms of the exceptional components.
Findings
Resolution of singularities constructed for restriction varieties
Description of singular locus via exceptional components
Applicable to Schubert varieties of Type B and D
Abstract
Restriction varieties in the orthogonal Grassmannian are subvarieties of defined by rank conditions given by a flag that is not necessarily isotropic with respect to the relevant symmetric bilinear form. In particular, Schubert varieties of Type B and D are examples of restriction varieties. In this paper, we introduce a resolution of singularities for restriction varieties in , and give a description of their singular locus by studying components of the exceptional locus of the resolution.
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Singularities of Restriction Varieties in
SEÇKİN ADALI
Abstract.
Restriction varieties in the orthogonal Grassmannian are subvarieties of defined by rank conditions given by a flag that is not necessarily isotropic with respect to the relevant symmetric bilinear form. In particular, Schubert varieties of Type B and D are examples of restriction varieties. In this paper, we introduce a resolution of singularities for restriction varieties in , and give a description of their singular locus by studying components of the exceptional locus of the resolution.
During part of the preparation of this article the author was supported by the RCN Grant 250104/F20.
Contents
- 1 Introduction
- 2 Singularities of Schubert Varieties in
- 3 Preliminaries on Restriction Varieties
- 4 The Resolution of Singularities
- 5 The Exceptional Locus
- 6 The Algorithm and Examples
1. Introduction
In this paper, we present a resolution of singularities for restriction varieties in . We also give a method for the description of the singular locus, and show that it is equal to the image of the exceptional locus of in most cases.
Let be a non-degenerate symmetric bilinear form on a vector space of dimension over the complex numbers. Let be positive integers such that . Let be the ordinary flag variety, and let be the orthogonal partial flag variety parameterizing subspaces
[TABLE]
of isotropic with respect to , where has dimension . A restriction variety is the intersection of with a Schubert variety in defined by a flag satisfying certain tangency conditions with respect to . Orthogonal Schubert varieties are examples of restriction varieties when the flag is isotropic.
Restriction varieties have found applications in the restriction problem in cohomology. The inclusion induces , and given a Schubert class in , we would like to express as a non-negative linear combination of the Schubert classes in . The rule used to compute the cohomology class of a restriction variety solves this problem [2]. Similarly, symplectic restriction varieties can be used to solve the same problem for the inclusion , see [4, 5]. There are also applications to the rigidity problem. Restriction varieties give explicit deformations of Schubert varieties in certain instances, and hence show that the corresponding classes are not rigid. This paper studies the singularities of restriction varieties in . We introduce a resolution of singularities, and study its exceptional locus. This resolution is inspired by the Bott-Samelson/Zelevinsky resolution for Schubert varieties, but has a more intricate construction reflecting the richer geometry of restriction varieties. We also describe the singular locus explicitly, and give a criterion for when it is equal to the image of the exceptional locus of .
Let be the quadratic polynomial associated to . A -plane is isotropic with respect to if and only if its projectivization is contained in the quadric hypersurface defined by . The orthogonal Grassmannian parameterizes -dimensional subspaces of that are isotropic with respect to . Equivalently, this is the Fano variety of -planes contained in a quadric hypersurface in .
Restriction varieties in the orthogonal Grassmannian are subvarieties of that parameterize isotropic subspaces of with respect to a flag that is not necessarily isotropic. Let be a quadratic form of corank obtained by restricting to a vector space of dimension . Let denote an -dimensional subspace that is isotropic with respect to . A restriction variety in is defined in terms of a sequence
[TABLE]
parameterizes -dimensional isotropic linear spaces that intersect in a subspace of dimension for all and in a subspace of dimension for all . There are two important conditions we impose on these sequences: The first is that we want the isotropic linear spaces and the singular loci of sub-quadrics to be in the most special position. This is ensured by the conditions
- •
and
- •
for every and .
In accordance with this positioning we require the -planes parameterized by to intersect in a certain way. Let be the number of isotropic linear spaces of the sequence contained in . We require the -dimensional subspace contained in to intersect in a subspace of dimension .
Secondly, we require the sub-quadrics to be irreducible. This is reflected in the condition
- •
.
Informally we can think of restriction varieties as subvarieties of that interpolate between Schubert varieties in , which is associated to maximal tangency conditions for the linear sections of the quadric hypersurface , and restrictions of general Schubert varieties in to which is associated to minimal tangency conditions.
The main results of this paper are the following:
** **** 1****.**
Theorem 4.7 gives a resolution of singularities for restriction varieties.
The resolution of singularities we introduce is inspired by the Bott-Samelson/Zelevinsky resolution for Schubert varieties. In order to resolve singularities, we construct a resolution that makes use of maximal dimensional isotropic linear subspaces at each step of the sequence. The resolution is constructed using a tower of Grassmannian and orthogonal Grassmannian bundles. We show that images of the components of the exceptional locus of which have codimenson larger than 1 are in the singular locus. We study the tangent space of a restriction variety at a point for the images of the remaining components, and get a complete description of the singular locus.
** **** 2****.**
Corollary 5.27 describes the singular locus of a restriction variety in .
We give a method for finding the singular locus of a restriction variety in that is based on our study of the exceptional locus of . In particular, this method presents an alternative to the method of describing the singular locus of a Schubert variety of Type B or D by checking for smoothness at each orbit.
** **** 3****.**
Given a restriction variety in , Algorithm 6.1 gives the singular locus of .
The organization of this paper is as follows: In Section 2, we review the well-known results on the singularities of Schubert varieties in . In Section 3, we review the necessary background and the definition of restriction varieties. In Section 4, we define the resolution of singularities, and study its exceptional locus. In Section 5, we present the algorithm for the singular locus and conclude with some examples.
2. Singularities of Schubert Varieties in
In this section, we introduce a language for Schubert varieties in the Grassmannian that will generalize to restriction varieties in a straight-forward way. This section not only serves as a reminder of some classical results on Schubert varieties, but also underlines some ideas used in the following sections. We refer the reader to [1] for an extensive exposition on the singularities of Schubert varieties.
In our definition, we use sequences whose steps correspond to rank conditions giving the Schubert variety. Let be an -dimensional vector space over the complex numbers, and consider , the Grassmannian of -planes on . We define a Schubert variety in in terms of a fixed complete flag, that is, a nested sequence of subspaces
[TABLE]
with . Consider a subsequence of length :
[TABLE]
The Schubert variety associated to is defined as the closure of the locus
[TABLE]
If there are steps in with consecutively increasing dimensions, certain conditions are implied by the others, and the number of rank conditions necessary to define the Schubert variety is less than the number of steps in the sequence. In order to define Schubert varieties in a concise way, we introduce partitions.
Definition 2.1**.**
Given a sequence of increasing positive integers , let be the subsequence such that , and let
[TABLE]
Then the data is defined to be the partition associated to the sequence .
In other words, is the largest dimensional integer in each group of consecutive integers, and counts the integers in that group. Note that we have and . The Schubert variety in associated to the partition is defined as the closure of the locus
[TABLE]
Being homogeneous under the action of , the open cell is smooth.
Example 2.2*.*
Let be the Schubert variety in given by the sequence
[TABLE]
This variety is defined as the closure of the locus
[TABLE]
The partition associated to this Schubert variety is .
The following proposition recalls the dimension of a Schubert variety using the sequence and the partition notations.
Proposition 2.3**.**
The dimension of a Schubert variety in associated to the sequence or the partition is given by
[TABLE]
Schubert varieties in the Grassmannian admit a natural resolution such that the image of the exceptional locus of is equal to the singular locus of . Let be given by the partition and let be the Schubert variety in the flag variety defined by
[TABLE]
Since is an iterated tower of Grassmannians, it is smooth and irreducible. The natural projection given by maps onto and the map is injective over the smooth open cell . The inverse image of a general point is determined uniquely as
[TABLE]
By Zariski’s Main Theorem, is an isomorphism over and hence a resolution of singularities of .
The map has positive dimensional fibers over the locus of -planes with the property that for some . Let be the closure of the locus
[TABLE]
for some .
The exceptional locus of consists of the union of the inverse images of for all . Let us study the codimension of the components of the exceptional locus of . Over each , the inverse image is irreducible of codimension
[TABLE]
for a general . By Proposition 2.3 we have
[TABLE]
On the other hand, for a general we have
[TABLE]
So, for an element of , the coordinate is the only one that is not determined uniquely and it can be parameterized by . This Grassmannian has dimension . Therefore we have
[TABLE]
since .
This shows that a component of the exceptional locus of has codimension larger than 1. This observation with the following lemma determines the singular locus of a Schubert variety.
Lemma 2.4**.**
([3], Lemma 2.3) Let be a birational morphism from a smooth, projective variety onto a normal projective variety . Assume that is an isomorphism in codimension one. Then is a singular point if and only if is positive dimensional.
Corollary 2.5**.**
The image of the exceptional locus of the resolution of singularities is equal to the singular locus of .
Example 2.6*.*
For the Schubert variety given by the partition , the variety is defined as
[TABLE]
The projection maps onto . The exceptional locus consists of the union of the inverse images of the closures of the following loci:
[TABLE]
[TABLE]
[TABLE]
Consequently the singular locus of the Schubert variety is given by
[TABLE]
Remark 2.7*.*
The subvarieties of the Schubert variety correspond to the hooks in the Young diagram of .
3. Preliminaries on Restriction Varieties
In this section, we review the definition of restriction varieties and their basic properties. Restriction varieties in parameterize isotropic -planes that intersect elements of a fixed flag in specified dimensions. The flag does not need to be isotropic but there are some conditions imposed by basic facts about quadrics. Additionally, there are some conditions we impose to ensure that the isotropic linear spaces and the singular loci of quadrics are in the most special position. We review these conditions, and refer the reader to [2] for a detailed discussion.
Let be an -dimensional vector space and let a non-degenerate symmetric bilinear form on . We recall the following basic facts about quadrics:
- •
The corank bound. Let be two linear sections of such that the singular locus of is contained in the singular locus of . Then .
- •
The linear space bound. The largest dimensional isotropic linear space with respect to a quadratic form has dimension . A linear space of dimension intersects the singular locus of in a subspace of dimension at least .
- •
Irreducibility. A sub-quadric of is reducible and equal to the union of two linear spaces of (vector space) dimension meeting along a linear space of dimension . If , then the linear spaces constituting belong to two distinct connected componens.
- •
The variation of tangent spaces. Let a quadric be singular along a codimension linear subspace of a linear space . Then the image of the Gauss map of restricted to the smooth points of has dimension at most . In other words, the tangent spaces to along the smooth points of vary at most in a -dimensional family.
Let denote the quadratic polynomial associated to . Let be an isotropic linear space of vector space dimension . If , we denote isotropic linear spaces in different connected components as and . Let denote a sub-quadric of corank cut out by a -dimensional linear section of and denote this linear space by . Let denote the restriction of to so that is given by the zero locus of . We denote the singular locus of by . We use the same notation for projectivizations contained in . For convenience let and .
We use sequences of the form
[TABLE]
consisting of isotropic linear spaces and sub-quadrics of to define restriction varieties. The restriction variety defined via this sequence parameterizes -dimensional isotropic linear spaces that intersect in a subspace of dimension for all and in a subspace of dimension for all . Let be the number of isotropic linear spaces of the sequence contained in . We require the -dimensional subspace of a -plane contained in to intersect in a subspace of dimension .
Definition 3.1**.**
A sequence of linear spaces and quadrics associated to is an admissible sequence if the following conditions are satisfied.
- (1)
. 2. (2)
* for every .* 3. (3)
* for every .* 4. (4)
* for every .* 5. (5)
* for every and .* 6. (6)
For every either or for every . Furthermore, if for some , then for all and . 7. (7)
. 8. (8)
For every ,
[TABLE] 9. (9)
For any , there does not exist such that .
Remark 3.2*.*
Conditions (1), (2) and (3) follow from the corank bound. In conditions (4) and (5), we require the isotropic linear spaces and the singular loci of sub-quadrics to be in the most special position. This gives a motivation for counting the sub-quadrics from the right; the singular loci form a nested sequence of subspaces . Condition (6) is a technical condition that puts a restriction on the singular loci of the sub-quadrics in the sequence; it disallows a sudden gap between . Condition (7) reflects the irreducibility property of quadrics. Condition (8) is a result of the linear space bound and the special positioning of the isotropic linear spaces and the singular loci of sub-quadrics. Finally, condition (9) follows from the variation of tangent spaces property of quadrics.
Definition 3.3**.**
Let be an admissible sequence for . A restriction variety is the subvariety of defined as the closure of
[TABLE]
Example 3.4*.*
Schubert varieties in are restriction varieties defined via a sequence satisfying for all , that is, when the quadrics in the sequence are as singular as possible. The restriction of a general Schubert variety in to is also a restriction variety associated to a sequence with and for all . Hence, restriction varieties interpolate between the restrictions of Schubert varieties in to and Schubert varieties in .
When the inequality is an equality for an index , then the -dimensional linear spaces in form two irreducible components.
Example 3.5*.*
defined by
[TABLE]
in parameterizes lines on a smooth quadric surface in and consists of two irreducible components.
The -dimensional subspaces contained in may be distinguished by their parity of the dimension of their intersection with linear spaces in each of these components.
Definition 3.6**.**
Let be an admissible sequence. An index such that
[TABLE]
is called a special index. For each special index, a marking of designates one of the irreducible components of -dimensional linear spaces of as even and the other one as odd, such that
- •
If for two special indices and the component containing a linear space is designated even for , then the component containing is designated even for as well; and
- •
If for a special index , then the component to which belongs is assigned the parity of ; and
- •
If , assigns the component containing the parity that characterizes the component . A marked restriction variety is the Zariski closure of the subvariety of parameterizing -dimensional isotropic subspaces , where, for each special index , intersects subspaces of dimension of designated even (respectively, odd) by in a subspace of even (respectively, odd) dimension.
Partitions can be used to define restriction varieties using only the conditions that are not automatically satisfied as a result of others.
Definition 3.7**.**
Given a restriction variety in defined by the admissible sequence
[TABLE]
let be the partition for , and let be the partition for . Then the data
[TABLE]
is defined to be the partitions associated to .
Remark 3.8*.*
For a group of sub-quadrics whose dimensions are consecutive integers, the coranks are not necessarily consecutive. In other words, a partition for may contain more than entries. However, by condition (6) in the Definition 3.1, the value of is fixed for each group of sub-quadrics with consecutive dimensions.
Remark 3.9*.*
We have and for every and . The restriction variety defined by the partitions parameterizes -dimensional isotropic linear spaces that satisfy
[TABLE]
where and .
Example 3.10*.*
To the sequence we associate the partitions
We recall the definition of a restriction variety in the next proposition using both sequence and partition notations.
Proposition 3.11**.**
([2], Prop 4.16)* The marked restriction variety associated to a marked admissible sequence is an irreducible variety of dimension*
[TABLE]
Note that this expression does not depend on the marking . The restriction variety has an irreducible component for every marking and every irreducible component of has this dimension.
Example 3.12*.*
The restriction variety \Big{[}L_{6}\subseteq L_{7}\subseteq L_{8}\Big{]} is the Grassmannian which parameterizes planes contained in a projective space of dimension 7. It is given by in terms of partitions, and has dimension .
Example 3.13*.*
The restriction variety \Big{[}Q^{4}_{11}\subseteq Q^{3}_{12}\subseteq Q^{2}_{13}\Big{]} is the Fano variety of planes contained in a quadric 11-fold in singular along a line. In terms of partitions this is given by and has dimension .
Example 3.14*.*
The restriction variety \Big{[}L_{2}\subseteq L_{3}\subseteq Q^{7}_{17}\subseteq Q^{6}_{18}\Big{]} parameterizes 3-dimensional projective linear spaces that are contained in a quadric hypersurface in of corank 6 and that intersect a plane contained in the singular locus of the quadric along a line. In terms of partitions this variety is given by and has dimension .
4. The Resolution of Singularities
In this section, we present a resolution of singularities for restriction varieties in . We first illustrate the resolution on a few examples and then introduce the general definition.
Example 4.1*.*
Let be the restriction variety in defined by the one-step sequence , where . This variety is a singular quadric contained in a 10-projective dimensional linear space whose singular locus is isomorphic to . Consider the flag variety defined by
[TABLE]
The second projection map maps onto \big{\{}Z\in OG(5,n)\;|\;Q^{4,sing}_{11}\subseteq Z\subseteq Q^{4}_{11}\big{\}} which is isomorphic to . Over such , the map has fibers of dimension 4 so is irreducible of dimension 9. The first projection map maps onto where the inverse image is determined uniquely over the smooth locus of . By Zariski’s theorem, is a resolution of singularities for where the image of the exceptional locus gives the singularities of . Note that, in this case is the blowup of the quadric along its singular locus.
Example 4.2*.*
Let V=\Big{[}L_{7}\subseteq Q^{4}_{11}\Big{]} contained in , where . The variety parameterizes the lines in a singular quadric intersecting a fixed linear space that contains the singular locus of the quadric. Consider the variety defined by
[TABLE]
where , and . The properties defining the variety can be visualized by the diagram in Figure 1:
Consider the following forgetful maps:
[TABLE]
We show is an iterated tower of and bundles via these maps. The linear space satisfies and hence can be parameterized by . For fixed , the linear space satisfies and hence can be parameterized by . On the other hand, satisfies . Since has to lie in the orthogonal complement of , is contained in a quadric of projective dimension 8 with a singular locus of projective dimension 4. Thus can be parameterized by . Finally, the linear space satisfies and hence can be parameterized by . Thus is a tower of the discussed , , and bundles. This also shows that is irreducible of dimension 13. The second projection map
[TABLE]
maps onto with fibers determined uniquely over a general point , that is, over . The map is a resolution of singularities by Zariski’s theorem.
Example 4.3*.*
Let V=\Big{[}L_{5}\subseteq Q^{7}_{10}\subseteq Q^{2}_{20}\Big{]} contained in , where . For this restriction variety we consider defined by
[TABLE]
where , , , and . The corresponding diagram is given in Figure 2.
We consider the following forgetful maps:
[TABLE]
The linear space is parameterized by and for fixed , is parameterized by . The linear space is parameterized by . For fixed , satisfies and hence can be parameterized by . Then is parameterized by . In the last row, as , is parameterized by . Then is parameterized by . Thus is a tower of the discussed , , , , , and bundles. Thus is an irreducible smooth variety of dimension 25. The third projection map
[TABLE]
gives the resolution of singularities in this example.
Example 4.4*.*
Let us consider the restriction variety in given by the sequence
[TABLE]
In this case satisfies the diagram in Figure 3. The dimensions of the , and ’s are noted as subscripts.
The variety is a tower of and bundles via 25 successive forgetful maps in this case. Starting with an element of , the forgetful maps trail each row from left to right going from the bottom row to the top row.
Example 4.5*.*
As a final example, let us illustrate for the restriction variety V=\Big{[}L_{7}\subseteq Q^{5}_{9}\subseteq Q^{4}_{10}\Big{]} contained in , where , with a given marking for the special index 1. The variety satisfies the diagram in Figure 4.
By considering the forgetful maps
[TABLE]
we obtain that is a tower of and . Here , which satisfies , is parameterized by , and the component that contains is the component determined by the marking of .
Let us fix terminology before giving the definition. In the following we say a sequence A=\Big{[}A_{1}\subseteq\ldots\subseteq A_{k}\Big{]} is contained in a sequence B=\Big{[}B_{1}\subseteq\ldots\subseteq B_{k}\Big{]} if for all . We will denote by both the sequence \Big{[}A_{1}\subseteq\ldots\subseteq A_{k}\Big{]} and the ordered set .
Let be a restriction variety defined by the sequence
[TABLE]
or equivalently, by the partitions . For each , let be the subsequence consisting of isotropic linear subspaces and sub-quadrics that strictly contain and are strictly contained in . We introduce a subsequence of the same length contained in that consists of isotropic linear subspaces .
[TABLE]
Also, the subsequence \Big{[}L_{1}\subseteq\ldots\subseteq Q^{r_{b_{u-1}}}_{d_{b_{u-1}}}\Big{]} obtained by omitting the last sub-quadrics from the defining sequence will have a crucial role in the following definition.
Define:
[TABLE]
where , , , and for all and .
Drawing a diagram, as in the examples above, provides a tidier framework and gives the intuition behind this construction. Let be the isotropic linear subspaces in the defining sequence contained in , thus contained in all other , . The defining properties of are visualized in the diagram in Figure 5. Here, the linear spaces that lie in the column of form the sequence in the definition of above.
Let be the variety obtained by considering with the marking for each special index inherited from . There is a natural projection from to given by
[TABLE]
Proposition 4.6**.**
Let be a marked restriction variety. The variety associated to is a smooth irreducible variety of the same dimension as .
Proof.
Consider the successive forgetful maps omitting one coordinate of at a time, going from left to right in each row, starting at the bottom row and going up. The proof of this proposition is based on constructing a tower of and bundles via these forgetful maps. In the following, we study the following possible types of rows in a diagram:
- (1)
For , we have . Hence is parameterized by which has dimension . 2. (2)
Suppose for , the sub-quadrics whose singular loci lie between and are for some number , that is,
[TABLE]
Note that in this setting. The row consisting of , , satisfies the diagram in Figure 6
We start by choosing . The linear space satisfying is parameterized by the Grassmannian . In a similar fashion, the parameterization of are given by Grassmannians whose dimensions add up to as in Table 1.
- (3)
Consider the row that corresponds to . Depending on , there are two possibilities for the diagram. If then is determined by . Explicitly, suppose is positioned as for some number . Note that in this setting. The diagram is as in Figure 7.
We start by choosing . The linear space satisfies and . Hence can be parameterized by . Note that is irreducible as . The linear spaces can be parameterized by Grassmannians whose dimensions add up to , see Table 2. Note that (see [2] for a proof).
- (4)
As another case for the row that corresponds to , if , then is determined by . The linear space has to be contained in the orthogonal complement of , so . Hence can be parameterized by . If has two components, then belongs to the component determined by the marking . The parameterizations of are similar to the previous case, the total dimension is as before. The diagram and the parameterizations in this case are as in Figure 8 and Table 3.
- (5)
Finally, the -th row for some is similar to the case above. The parameterizations are given by a tower of Grasmanninans contained in an orthogonal Grassmannian and the total dimension adds up to . The diagram and the parameterizations are as in Figure 9 and Table 4.
The variety is smooth as it is an iterated tower of the ordinary and the orthogonal Grassmannian bundles observed above. The inverse image of a point in is irreducible by the same observations, hence is irreducible for a marked restriction variety. Furthermore, combining the results from each row of the diagram, is given by
[TABLE]
which concludes the proof. ∎
Over , the inverse image of a point is determined uniquely by
[TABLE]
is in the smooth locus of since it is homogeneous under the action of . Then, Zariski’s main theorem shows that is an isomorphism over . Therefore we have
Theorem 4.7**.**
The map is a resolution of singularities.
5. The Exceptional Locus
We now study the exceptional locus of . More specifically, we are interested in the codimension of the components of the exceptional locus.
Corresponding to the three types of conditions in Definition 3.3, namely,
[TABLE]
we consider three types of loci where has positive dimensional fibers. The image of the exceptional locus of is equal to the union of the following ’s
**I: **
: The Zariski closure of the subvariety of parameterizing -dimensional isotropic subspaces such that for some .
**II: **
: The Zariski closure of the subvariety of parameterizing -dimensional isotropic subspaces such that for some , or in a certain case that is discussed in Remark 5.1.
**III: **
: The Zariski closure of the subvariety of parameterizing -dimensional isotropic subspaces such that for some .
Remark 5.1*.*
Note that these loci do not exist for every restriction variety. There are natural restrictions for their existence resulting from the properties of quadrics. The locus , for some , exists only if , and the locus , for some , exists only if and (requirement for the irreducibility of the quadric that arises in the sequence of ). Similarly, the locus , for some , exists only if
Furthermore, different components of must be kept in mind in a certain case. Suppose is a special index (that is, as in Definition 3.6) and . The linear space belongs to one of the components of the Fano variety of maximal dimensional linear spaces contained in . For a general -plane , the -dimensional linear subspace lies in the other component. Note that two linear spaces in belong to the same component if and only if their intersection is equal to mod 2. Therefore, no in satisfies , but there may be elements with .
Example 5.2*.*
The locus does not make sense for the restriction variety given by \Big{[}Q^{0}_{8}\subseteq Q^{0}_{9}\Big{]} since is empty. Similarly the locus does not exist for the restriction variety given by \Big{[}L_{1}\subseteq Q^{1}_{7}\Big{]} since and it is not possible to intersect in a higher dimension.
Example 5.3*.*
The loci do not exist for the restriction variety given by \Big{[}L_{1}\subseteq L_{7}\subseteq L_{8}\Big{]}; lines contained in containing cannot intersect or in higher dimensions. Similarly, does not exist for the restriction variety given by \Big{[}Q^{2}_{7}\subseteq Q^{1}_{8}\Big{]}.
Example 5.4*.*
Let V=\Big{[}L_{2}\subseteq Q^{0}_{4}\Big{]}, the variety of lines contained in a smooth quadric surface intersecting a fixed line on the surface. This (marked) restriction variety is one of the components of the lines on the quadric surface. The locus , given by \Big{[}L_{1}\subseteq L_{2}\Big{]}=L_{2}, lies in the other component, and hence is not contained in . It is easy to see is smooth in this example as it is isomorphic to .
Example 5.5*.*
Let be the restriction variety in given by \Big{[}L_{1}\subseteq L_{3}\subseteq L_{4}\subseteq Q^{1}_{7}\Big{]}. A general element of satisfies , therefore and lie in different components of . This shows that the restriction variety given by the sequence \Big{[}L_{1}\subseteq L_{2}\subseteq L_{3}\subseteq L_{4}\Big{]}=L_{4} is not in the image of the exceptional locus of in this case.
Example 5.6*.*
Let be given by \Big{[}L_{3}\subseteq L_{4}\subseteq Q^{1}_{7}\subseteq Q^{0}_{8}\Big{]}. A general element of satisfies , and hence lies in the same component of as . Since we have mod 2 for linear spaces in the same component as , we conclude must be either 2 or 4. Therefore, in this case we have \Sigma_{n_{a_{1}}}=\Big{[}L_{1}\subseteq L_{2}\subseteq L_{3}\subseteq L_{4}\Big{]}.
In the following, we study loci that are contained in the restriction variety . Over each , is irreducible of codimension
[TABLE]
for a general point in . We now consider each separately, observe the sequence that defines the restriction variety , and study in each case. Our aim is to find the components of the exceptional locus with codimension greater than 1.
Observation 5.7*.*
A component of the exceptional locus of with image of one of the types
- •
with
- •
with
- •
for all
has codimension larger than 1 (by I.B, I.C, II.B and III below). A component with image of type with has codimension equal to 1 (by I.A and I.D below). A component with image of type has codimension given by which may be larger than or equal to 1.
In the following computation which results in Observation 5.7, each component of the exceptional locus is studied by dividing it into subcases.
**I: **
: for some
Given the corank , we divide this case into sub-cases depending on the relation between and the dimensions of the isotropic linear spaces appearing in the sequence defining . The sub-cases we consider in the following are:
**I.A: **
**I.B: **
and for all
**I.C: **
for some
**I.D: **
**I.A: **
Suppose . A general element of intersects in one more dimension. Equivalently, this is the restriction variety associated to the sequence obtained by replacing the sub-quadric with the isotropic linear space in the fixed full flag of dimension . Note that contains , so all with are contained in . Therefore it is sufficient to consider .
Example 5.8*.*
Let be the restriction variety given by the sequence \Big{[}L_{3}\subseteq Q^{7}_{10}\subseteq Q^{5}_{20}\Big{]}. The loci and are defined as the closures of the loci:
[TABLE]
[TABLE]
Since is contained in \Sigma_{r_{b_{1}}}=\Big{[}L_{3}\subseteq L_{7}\subseteq Q^{5}_{20}\Big{]}, it is sufficient to consider .
The introduced isotropic linear space is contained in for . Therefore, in the resulting restriction variety, the value of increases by one for . Thus we have
[TABLE]
since by our assumption that .
Now we study the inverse image of a general point in . By assumption there is no containing and ’s contained in are determined uniquely by . We have where and . Since has to lie in the orthogonal complement of , we have . Such can be parameterized by . Therefore
[TABLE]
since and .
Example 5.9*.*
Let V=\Big{[}L_{3}\subseteq Q^{7}_{10}\subseteq Q^{5}_{20}\Big{]}, then
[TABLE]
equivalently, the diagram is given in Figure 10.
The subvariety \Sigma_{r_{b_{1}}}=\Big{[}L_{3}\subseteq L_{7}\subseteq Q^{5}_{20}\Big{]}\subseteq V has codimension 2. In the inverse image of a general point in , we have , and where . The linear space is parameterized by a smooth plane quadric, or equivalently, . Thus and .
Example 5.10*.*
Let V=\Big{[}L_{1}\subseteq Q^{3}_{6}\subseteq Q^{1}_{8}\Big{]}, an orthogonal Schubert variety in . The diagram in Figure 11 defines .
The subvariety \Sigma_{r_{b_{1}}}=\Big{[}L_{1}\subseteq L_{3}\subseteq Q^{1}_{8}\Big{]} has codimension 2. In the inverse image of a general point in , only is not determined uniquely. We have and , from which we conclude is parameterized by . Thus and .
**I.B: **
Next we consider such that there are in the sequence with but no with . Let . If satisfies then contains . Therefore it is sufficient to consider such that .
For a general element , and a general element , we have , and . Therefore, in the sequence of , the isotropic linear space is replaced with , and the sub-quadric , where , is replaced with .
This scenario arises in the study of other types of components of the exceptional locus. Here we give the general rule that applies whenever an isotropic linear space is replaced with a smaller dimensional isotropic linear space.
Rule 1*.*
Given the defining sequence of a restriction variety, consider the modified sequence where an isotropic linear space is replaced with a smaller dimensional isotropic linear space. If there are sub-quadrics in the sequence satisfying , then let , and replace with .
Since is contained in the singular locus of every sub-quadric in the group of , for each of these sub-quadrics, increases by one. Hence we get
[TABLE]
Example 5.11*.*
Let V=\Big{[}L_{7}\subseteq Q^{5}_{15}\subseteq Q^{2}_{25}\Big{]}, then \Sigma_{r_{b_{1}}}=\Big{[}L_{5}\subseteq Q^{7}_{13}\subseteq Q^{2}_{25}\Big{]}. Specializing a general element of so that it intersects increases by 1. In this example, .
Note that the linear space may not be among , that is, the largest dimensional isotropic linear space in a group with consecutively increasing dimensions. Let be the smallest containing . In the inverse image of a general point in , all coordinates are determined uniquely except for and . We have thus can be parameterized by . Then is determined uniquely as . Thus and
[TABLE]
since \Big{(}(n_{j_{\sharp}}-r_{b_{h}})-(n_{a_{g_{\sharp}}}-(r_{b_{h}}+a_{g_{\sharp}}-x_{b_{h}}))\Big{)}\geq 1 and by construction.
Example 5.12*.*
Let V=\Big{[}L_{6}\subseteq L_{7}\subseteq Q^{2}_{15}\Big{]}, then is given by the diagram in Figure 12.
The subvariety \Sigma_{r_{b_{1}}}=\Big{[}L_{2}\subseteq L_{7}\subseteq Q^{2}_{15}\Big{]} has codimension 7. In the inverse image of a general point in , we have . As above, is determined as so the nontrivial part is the parametrization of . We have which is parameterized by . Thus and .
Example 5.13*.*
Let V=\Big{[}L_{7}\subseteq Q^{5}_{15}\subseteq Q^{2}_{25}\Big{]}, then is given by the diagram in Figure 13.
The subvariety \Sigma_{r_{b_{1}}}={\Big{[}L_{5}\subseteq Q^{7}_{13}\subseteq Q^{2}_{25}\Big{]}} has codimension 3. In the inverse image of a general point in , we have , , , , , . The linear space satisfies and hence can be parameterized by . Then is determined uniquely as . Thus and .
**I.C: **
Consider such that there is with in the defining sequence satisfying . Since there is no in the sequence with , we have for some .
In the sequence of , the isotropic linear space that appears next to in the sequence of , namely , is replaced with . Consequently, is replaced with the isotropic linear space of one less dimension, namely . Similarly, each isotropic linear space , where , is replaced with . Applying Rule 1, the sub-quadric , where , is replaced with . Observe that increases by one for each satisfying .
Comparing the dimensions of both sequences, we have
[TABLE]
In the inverse image of a general point in , all coordinates are determined uniquely except for , and the coordinates in the -th row. We have
thus can be parameterized by
. Then is determined uniquely as . On the other hand, the -th row is determined uniquely once is determined. The linear space satisfies and hence can be parameterized by . Thus and
[TABLE]
which is greater than 1, as by construction.
Example 5.14*.*
Let V=\Big{[}L_{2}\subseteq L_{4}\subseteq Q^{2}_{7}\big{]}, an orthogonal Schubert variety in . The definition of is given by the diagram in Figure 14.
The subvariety is given by the sequence \Big{[}L_{1}\subseteq L_{2}\subseteq L_{4}\Big{]} as becomes if its corank is increased by 2. The variety has codimension 4. In the inverse image of a general point in , the coordinates and are determined uniquely as and . The coordinate satisfies and is parameterized by . The coordinate satisfies and is parameterized by . Thus and .
Example 5.15*.*
Let V=\Big{[}L_{5}\subseteq L_{10}\subseteq Q^{6}_{19}\subseteq Q^{5}_{20}\subseteq Q^{2}_{30}\Big{]}, then is given by the diagram in Figure 15.
The subvariety \Sigma_{r_{b_{1}}}={\Big{[}L_{4}\subseteq L_{5}\subseteq Q^{10}_{15}\subseteq Q^{9}_{16}\subseteq Q^{2}_{30}\Big{]}} has codimension 12. In the inverse image of a general point in , we have , , , , , . The linear space satisfies and hence can be parameterized by . Then is determined uniquely as . On the other hand, satisfies and hence can be parameterized by . Then . Thus and .
**I.D: **
Suppose . Note that contains , so all are contained in . Therefore it is sufficient to consider .
In the sequence of , the sub-quadric is replaced with , and consequently each isotropic linear space , where , is replaced with the isotropic liner space of one less dimension, . This increases the value of by one for satisfying . We have
[TABLE]
Note that the resulting sequence may contradict condition (9) in Definition 3.1. The sub-quadric with maximal corank that is smaller than , namely , may have corank one less than the dimension the introduced isotropic linear space, namely, . We remedy this by replacing this sub-quadric with one with larger corank which reflects the geometry of the resulting restriction variety better. Explicitly, if , we replace the sub-quadric with . The changes in the dimension and the value of cancel each other, hence we get the same codimension computation.
This scenario arises in the study of other types of components of the exceptional locus. Here we give the general rule that applies whenever a sub-quadric is replaced with an isotropic linear space.
Rule 2*.*
Given the defining sequence of a restriction variety, consider the modified sequence where a sub-quadric is replaced with an isotropic linear space. If for an isotropic linear space , and a sub-quadric in the modified sequence, then let , and replace with .
We again look at the fibers of . By assumption there is no containing and other ’s are determined uniquely as there is no change in the relevant rank conditions. The only nontrivial parameterizations are observed for and the coordinates in the -th row. As in (I.A), we have where and . Since has to lie in the orthogonal complement of , we have . Such can be parameterized by . On the other hand, the -th row can be determined once is determined. The linear space satisfies and hence can be parameterized by . Thus and we have
[TABLE]
Example 5.16*.*
Let V=\Big{[}L_{2}\subseteq L_{3}\subseteq Q^{3}_{7}\Big{]}, an orthogonal Schubert variety in . The diagram in Figure 16 defines .
The subvariety \Sigma_{r_{b_{1}}}=\Big{[}L_{1}\subseteq L_{2}\subseteq L_{3}\Big{]}, which consists of a single point, has codimension 4. In the inverse image of a general point in , we have which is parameterized by . Also, with , so is parameterized by which has dimension 1. Thus and .
Example 5.17*.*
Let V=\Big{[}L_{5}\subseteq Q^{5}_{10}\subseteq Q^{2}_{30}\Big{]}, then is given by the diagram diagram in Figure 17.
The subvariety \Sigma_{r_{b_{1}}}=\Big{[}L_{4}\subseteq L_{5}\subseteq Q^{2}_{30}\Big{]} has codimension 7. In the inverse image of a general point in , we have , , , . We have which can be parameterized by . Then the linear space which satisfies can be parameterized by . On the other hand, satisfies and hence can be parameterized by . Thus and .
**II: **
: for some
Depending on , we divide this case into the following two subcases:
**II.A: **
**II.B: **
**II.A: **
: (or equivalently, )
If , then corresponds to . If then contains . So we assume in the following. In the sequence of , the sub-quadric is replaced with the isotropic linear space . Consequently, each isotropic linear space , where , is replaced with . We have
[TABLE]
The only nontrivial parameterizations in the inverse image of a general point in are in the row of and once is fixed, the rest of the row can be determined uniquely. The linear space satisfies and hence can be parameterized by . Thus we have
[TABLE]
Since , this is equivalent to
[TABLE]
Note that may be 1 or larger in this case.
Example 5.18*.*
Let V=\Big{[}L_{5}\subseteq Q^{2}_{8}\Big{]}, then is given by the diagram in Figure 18.
The subvariety \Sigma_{n_{a_{1}}}=\Big{[}L_{4}\subseteq L_{5}\Big{]} has codimension 2. In the inverse image of a general point in , we have and . The linear space satisfies and hence can be parameterized by . Then is determined uniquely as . Thus and .
Example 5.19*.*
Let V=\Big{[}L_{4}\subseteq Q^{1}_{8}\Big{]}, an orthogonal Schubert variety in . The diagram in Figure 19 gives the definition of .
The subvariety \Sigma_{n_{a_{1}}}=\Big{[}L_{4}\subseteq L_{5}\Big{]} has codimension 3. In the inverse image of a general point in , we have and . The linear space satisfies and hence can be parameterized by . Then is determined uniquely as . Thus and .
**II.B: **
: for some
We have already discussed in I.C the case when there is some in the defining sequence with . Also, if there is in the sequence with then will be contained in . So it is sufficient to consider the case when for all , equivalently, when .
In the sequence of , the isotropic linear space that comes after in the sequence of , namely , is replaced with . Consequently, each isotropic linear space , where, , is replaced with the isotropic linear space of one less dimension, . Rule 1 applies to the sub-quadric , and consequently to each where ; we replace with for all with . This increases the value of by for all with . We have
[TABLE]
The only nontrivial parameterizations in the inverse image of a general point in are in the -th row of the diagram of and once is parameterized the remaining coordinates can be determined uniquely. The linear space satisfies and hence can be parameterized by the Grassmannian . Thus we have
[TABLE]
Note that and by assumption. Therefore in this case.
Example 5.20*.*
Let V=\Big{[}L_{2}\subseteq L_{4}\subseteq Q^{0}_{9}\Big{]}, an orthogonal Schubert variety on . The diagram in Figure 20 gives the definition of .
The subvariety \Sigma_{n_{a_{1}}}=\Big{[}L_{1}\subseteq L_{2}\subseteq Q^{2}_{7}\Big{]} has codimension 3. In the inverse image of a general point in , the coordinates and are determined uniquely as and . The coordinate satisfies and hence is parameterized by . Thus and .
Example 5.21*.*
Let V=\Big{[}L_{5}\subseteq L_{7}\subseteq Q^{3}_{20}\Big{]}, then is given by the diagram Figure 21.
The subvariety \Sigma_{n_{a_{1}}}=\Big{[}L_{4}\subseteq L_{5}\subseteq Q^{5}_{18}\Big{]} has codimension 3. In the inverse image of a general point in , we have , , and . The linear space satisfies and hence can be parameterized by . Then is determined uniquely as . Thus and .
**III: **
: for some
This case is similar to the case in II.A. In the sequence of , the sub-quadric that comes after in the sequence of , namely , is replaced with . Consequently, each sub-quadric , where and , is replaced with . Comparing the dimensions of the sequences, we have
[TABLE]
Note that the resulting sequence may contradict condition (9) in Definition 3.1. Here we give the general rule for remedying this in a general context that applies whenever a sub-quadric is replaced with another sub-quadric.
Rule 3*.*
Given the defining sequence of a restriction variety, consider the modified sequence where a sub-quadric is replaced with another sub-quadric. If for an isotropic linear space and a sub-quadric , then let , and replace with .
The only nontrivial parameterizations in the inverse image of a general point in are in the row of and once is fixed, the rest of the row can be determined uniquely. The linear space satisfies , and hence can be parameterized by . Thus we have
[TABLE]
which is larger than one by the definition of .
Example 5.22*.*
Let V=\Big{[}Q^{2}_{7}\subseteq Q^{0}_{9}\Big{]}, then is given by the diagram Figure 22.
The subvariety \Sigma_{d_{b_{1}}}=\Big{[}Q^{3}_{6}\subseteq Q^{2}_{7}\Big{]} has codimension 3. In the inverse image of a general point in , we have and . The linear space satisfies and hence can be parameterized by . Then is determined uniquely as . Thus and .
This concludes the computation behind Observation 5.7. The following lemma, which is based on Lemma 2.4, allow us to give a partial description of the singular locus of .
Lemma 5.23**.**
A subvariety of a restriction variety satisfying is in the singular locus of .
Proof.
Suppose and is a point such that is positive dimensional. If is smooth, then in order to check that is a local isomorphism, it suffices to check that the Jacobian does not vanish. Since and the vanishing locus of the Jacobian is a divisor, we conclude that the Jacobian does not vanish. On the other hand, since is not a local isomorphism around , we conclude that is a singular point. ∎
Corollary 5.24**.**
Let be a restriction variety and the resolution of singularities in Theorem 4.7. The components of the exceptional locus whose images are of the form
- •
* with *
- •
* for all *
- •
* with *
- •
* for all *
are in the singular locus of .
Our results so far give a partial description of the singular locus of a restriction variety, but are inconclusive about the remaining types of loci:
- •
with , and
- •
with .
Studying the tangent space of a restriction variety at a point will allow us to observe these loci further in the following.
Now we study the tangent space of a restriction variety at a point starting with the one-step case. We refer the reader to [7] for a different approach to tangent spaces to Schubert varieties, and to [6] for general information on tangent spaces to Grassmannians.
If is an isotropic linear space, the tangent space at a point can be identified with the quotient .
If is a quadric, the tangent space at a point can be obtained by evaluating the kernel of the Jacobian of the polynomial at , and taking the quotient with . More concretely, can be taken to be
[TABLE]
and the kernel of the Jacobian is of the form
[TABLE]
where the last nonzero term is or depending on the rank of . The quotient of the kernel with has dimension if evaluated at a smooth point , but has dimension if evaluated at a singular point .
Now consider a general restriction variety defined by
[TABLE]
and let be a general point in with for , and for . An arc through contained in is obtained by moving ’s intersection with each step of the sequence inside that step. Explicitly, where is an arc through contained in for , and is an arc through contained in for . Therefore the tangent space of can be studied by considering the tangent spaces of ’s.
The tangent space of for is given by the quotient
[TABLE]
which has dimension .
The arc for lies in the orthogonal complement of , and is contained in . Let be the sub-quadric obtained by specializing the hyperplane section of until it is tangent to along . Note that
[TABLE]
The tangent space can be identified with the quotient
[TABLE]
which has dimension .
Note that for a general point in , these dimensions are the expressions appearing in the formula for , hence unsurprisingly at a general point. In other orbits this equality does not necessarily hold, and this is what we inspect for the two types of loci for which our previous results are inconclusive.
Proposition 5.25**.**
The loci of type with are in the singular locus of .
Proof.
Let be a general point in the locus of the form for some . The only arcs affected by the increase of are the group of arcs with . For each , we have , and
[TABLE]
Consequently, the tangent space \mbox{Ker}\Big{[}JF_{Q^{\prime}_{\iota}}\Big{]}_{v_{k-\iota+1}}\Big{/}\Lambda has dimension for each in . Hence
[TABLE]
which shows that is in the singular locus of . ∎
Proposition 5.26**.**
The loci of type with are in the smooth locus of .
Proof.
Let be a general point in the locus of type . As a result of , both arcs and are contained in , and hence the tangent space of can be identified with
[TABLE]
the construction as the one for , but evaluated at . We observe the difference in dimensions as
[TABLE]
Hence follows the result. ∎
In particular, the image of the exceptional locus is not equal to the singular locus in general. The following corollary summarizes the results of this chapter.
Corollary 5.27**.**
Let be a restriction variety, the resolution of singularities, the exceptional locus of , and the components of as above. The singular locus of is the union of
- •
**
- •
* for all *
- •
* with *
- •
* for all .*
Equivalently,
[TABLE]
6. The Algorithm and Examples
We present an algorithm for finding the singular locus of a restriction variety that is based on our study of the exceptional locus of . The three rules introduced before will be used in the algorithm, we repeat them here for convenience.
Rule 1.
Given the defining sequence of a restriction variety, consider the modified sequence where an isotropic linear space is replaced with a smaller dimensional isotropic linear space. If there are sub-quadrics in the sequence satisfying , then let , and replace with .
Rule 2.
Given the defining sequence of a restriction variety, consider the modified sequene where a sub-quadric is replaced with an isotropic linear space. If for an isotropic linear space , and a sub-quadric in the modified sequence, then let , and replace with .
Rule 3.
Given the defining sequence of a restriction variety, consider the modified sequence where a sub-quadric is replaced with another sub-quadric. If for an isotropic linear space and a sub-quadric , then let , and replace with .
Algorithm 6.1**.**
Let be defined by the sequence
[TABLE]
or equivalently, by the partitions
[TABLE]
- (1)
Steps for . If then proceed, otherwise .
- (a)
If then replace with . The resulting sequence gives . 2. (b)
If then replace with , and replace , where , with . Apply Rule 2. The resulting sequence gives . 3. (c)
Otherwise . 2. (2)
Steps for each , where . For each , if then proceed, otherwise .
- (a)
If and for any , then let , let , and replace with . Apply Rule 1. The resulting sequence is . 2. (b)
If then replace with , and replace , where , with . Apply Rule 1. The resulting sequence is . 3. (c)
Otherwise . 3. (3)
Steps for . If and then proceed, otherwise .
- (a)
If and the proposition \big{[}\;b_{1}\;\mbox{is a special index}\;\big{]}\wedge\big{[}\;2n_{s}=d_{b_{1}}+r_{b_{1}}\;\big{]} is false, then replace with , and replace , where , with . Apply Rule 2. The resulting sequence gives . 2. (b)
If is a special index and and , then replace with , replace with , and replace , where , with . Apply Rule 2. The resulting sequence gives . 3. (c)
Otherwise . 4. (4)
Steps for each , where .
- (a)
If and , then replace with , and replace , where , with . Apply Rule 2. The resulting sequence gives . 2. (b)
Otherwise . 5. (5)
Steps for each where .
- (a)
If then replace with , and replace , where and with . Apply Rule 3. The resulting sequence gives . 2. (b)
Otherwise . 6. (6)
Take the union of the restriction varieties obtained from the first five steps. The resulting restriction variety gives the singular locus of .
Here are some examples illustrating Algorithm 6.1 in a few different cases. We refer the reader to [1] for the permutation notation, and for more examples on singularities of Schubert varieties.
Example 6.2*.*
Let be defined by the sequence \Big{[}Q^{3}_{6}\subseteq Q^{0}_{9}\Big{]}. This is a Schubert variety in . The locus \Sigma_{r_{b_{1}}}=\Big{[}L_{3}\subseteq Q^{0}_{9}\Big{]} is obtained by step (1)(a) in Algorithm 6.1. Note that the locus does not exist since . Therefore
[TABLE]
Equivalently, in permutation notation we have
[TABLE]
Example 6.3*.*
Let be the Schubert variety in defined by \Big{[}Q^{2}_{7}\subseteq Q^{0}_{9}\Big{]}. Using the steps (1)(a) and (5)(a), we have
[TABLE]
equivalently, in permutation notation
[TABLE]
Example 6.4*.*
Let be the Schubert variety in defined by \Big{[}L_{3}\subseteq Q^{3}_{6}\subseteq Q^{0}_{9}\Big{]}. Using the step (1)(b), we have
[TABLE]
equivalently, in permutation notation
[TABLE]
Example 6.5*.*
Let be the Schubert variety in defined by \Big{[}L_{3}\subseteq Q^{1}_{7}\Big{]}. The locus is obtained by step (2)(a). Rule 1 replaces with the union of and . Therefore the locus is the union of \Big{[}L_{1}\subseteq L_{4}\Big{]} and \Big{[}L_{1}\subseteq L_{4}^{\prime}\Big{]}. Furthermore, step (3)(a) gives the locus \Big{[}L_{2}\subseteq L_{3}\Big{]}. Hence
[TABLE]
equivalently, in permutation notation
[TABLE]
Example 6.6*.*
Let be the Schubert variety in defined by \Big{[}L_{2}\subseteq L_{4}\subseteq Q^{2}_{7}\Big{]}. The locus \Sigma_{r_{b_{1}}}=\Big{[}L_{1}\subseteq L_{2}\subseteq L_{4}\Big{]} is obtained by applying step (4)(a) and in particular Rule 1. Note that is in the smooth locus of since . We have
[TABLE]
equivalently, in permutation notation
[TABLE]
Example 6.7*.*
Let be the Schubert variety in defined by \Big{[}L_{3}\subseteq Q^{1}_{7}\subseteq Q^{0}_{9}\Big{]}. The locus \Sigma_{n_{a_{1}}}=\Big{[}L_{2}\subseteq L_{3}\subseteq Q^{0}_{9}\Big{]} is obtained by step (3)(a). We have
[TABLE]
equivalently, in permutation notation
[TABLE]
Example 6.8*.*
Let be the Schubert variety in defined by \Big{[}L_{4}\subseteq Q^{2}_{7}\subseteq Q^{1}_{8}\Big{]}. The locus \Sigma_{r_{b_{1}}}=\Big{[}L_{1}\subseteq L_{4}\subseteq Q^{1}_{8}\Big{]} is obtained by applying step (2)(a). Furhermore, step (3)(a) is applied to obtain the locus \Sigma_{n_{a_{1}}}=\Big{[}L_{2}\subseteq L_{3}\subseteq L_{4}\Big{]}. Thus
[TABLE]
equivalently, in permutation notation
[TABLE]
Example 6.9*.*
Let be the Schubert variety in defined by \Big{[}L_{2}\subseteq L_{4}\subseteq Q^{0}_{9}\Big{]}. By steps (4)(a) and (3)(a), we have
[TABLE]
equivalently, in permutation notation
[TABLE]
Example 6.10*.*
Let be the Schubert variety in defined by \Big{[}L_{2}\subseteq L_{4}\subseteq Q^{2}_{7}\subseteq Q^{0}_{9}\Big{]}. Step (2)(b) is applied to obtain the locus \Sigma_{d_{b_{1}}}=\Big{[}L_{1}\subseteq L_{2}\subseteq Q^{3}_{6}\subseteq Q^{2}_{7}\Big{]}. Note that is contained in , and is contained in the smooth locus of since . Hence
[TABLE]
equivalently, in permutation notation
[TABLE]
Example 6.11*.*
Let be the restriction variety in defined by the sequence
[TABLE]
The loci and are obtained by applying step (2)(a). When applied to , we have
[TABLE]
and when applied to , the sub-quadric is replaced with the isotropic linear subspaces and . Thus
[TABLE]
Applying step (4)(a) gives the locus
[TABLE]
Since is a special index and , step (3)(b) is applied to obtain the locus
[TABLE]
As a result, we have
[TABLE]
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] Billey, S., Lakshmibai, V.: Singular Loci of Schubert Varieties, vol. 182. Progress in Mathematics, Birkhauser Boston, Inc., Boston, MA (2000). DOI 10.1007/978-1-4612-1324-6
- 2[2] Coskun, I.: Restriction varieties and geometric branching rules. Advances in Mathematics 228 , 2441–2502 (2011). DOI 10.1016/j.aim.2011.07.010
- 3[3] Coskun, I.: Rigid and non-smoothable schubert classes. Journal of Differential Geometry 87 (3), 493–514 (2011)
- 4[4] Coskun, I.: Symplectic restriction varieties and geometric branching rules. Clay Mathematics Proceedings 18 , 205–239 (2013)
- 5[5] Coskun, I.: Symplectic restriction varieties and geometric branching rules ii. Journal of Combinatorial Theory Series A 125 , 47–97 (2014). DOI 10.1016/j.jcta.2014.02.004
- 6[6] Harris, J.: Algebraic Geometry, vol. 133. Graduate Texts in Mathematics, Springer-Verlag, New York, NY (1995). DOI 10.1007/978-1-4757-2189-8
- 7[7] Lakshmibai, V.: On tangent spaces to schubert varieties, ii. Journal of Algebra 224 , 167–197 (2000). DOI 10.1006/jabr.1999.7999
