Grassmannian

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In mathematics, a Grassmannian 𝐆𝐫k(V), also known as a Grassmann manifold, is a differentiable manifold that parameterizes the set of all k-dimensional linear subspaces of an n-dimensional vector space V over a field K that has a differentiable structure. For example, the Grassmannian 𝐆𝐫1(V) is the space of lines through the origin in V, so it is the same as the projective space 𝐏(V) of one dimension lower than V.Template:SfnTemplate:Sfn When V is a real or complex vector space, Grassmannians are compact smooth manifolds, of dimension k(n−k).[1] In general they have the structure of a nonsingular projective algebraic variety. The Grassmannian is named for the German polymath, linguist and mathematician Hermann Grassmann, who introduced the concept to mathematics.

History

The earliest work on a non-trivial Grassmannian was by Julius Plücker, who studied the set of projective lines in real projective 3-space, which is equivalent to 𝐆𝐫2(𝐑4), parameterizing them by what are now called Plücker coordinates. Hermann Grassmann later generalized the concept.

Notations for Grassmannians vary between authors; they include 𝐆𝐫k(V), 𝐆𝐫(k,V),𝐆𝐫k(n), 𝐆𝐫(k,n) to denote the Grassmannian of k-dimensional subspaces of an n-dimensional vector space V.

Motivation

By giving a collection of subspaces of a vector space a topological structure, it is possible to talk about a continuous choice of subspaces or open and closed collections of subspaces. Giving them the further structure of a differentiable manifold enables smooth choices of subspace.

A natural example comes from tangent bundles of smooth manifolds embedded in a Euclidean space. Given a manifold M of dimension k embedded in 𝐑n. At each point x∈M, the tangent space to M can be considered as a subspace of the tangent space of 𝐑n, which is also just 𝐑n. The map assigning to x its tangent space defines a map from Template:Mvar to 𝐆𝐫k(𝐑n). (In order to do this, the tangent space at each x∈M must be translated so that it passes through the origin rather than x, and hence defines a k-dimensional vector subspace. This idea is similar to the Gauss map for surfaces in a 3-dimensional space.)

This can be extended to all vector bundles over a manifold M, so that every vector bundle generates a continuous map from M to a suitably generalised Grassmannian—although various embedding theorems must be proved to show this. The properties of vector bundles are thus related to the properties of the corresponding maps. In particular vector bundles inducing homotopic maps to the Grassmannian are isomorphic. Here the definition of homotopy relies on a notion of continuity, and hence a topology.

Low dimensions

For Template:Math, the Grassmannian Template:Math is the space of lines through the origin in Template:Mvar-space, so it is the same as the projective space 𝐏n−1 of Template:Math dimensions.

For Template:Math, the Grassmannian is the space of all 2-dimensional planes containing the origin. In Euclidean 3-space, a plane containing the origin is completely characterized by the single line through the origin that is perpendicular to that plane (and vice versa); hence the spaces Template:Math, Template:Math, and Template:Math (the projective plane) may all be identified with each other.

The simplest Grassmannian that is not a projective space is Template:Math.

Differentiable manifold

To endow 𝐆𝐫k(V) with the structure of a differentiable manifold, a basis for V must be chosen. This is equivalent to identifying V with Kn, with the standard basis denoted (e1,…,en), viewed as column vectors. Then for any k-dimensional subspace w⊂V, viewed as an element of 𝐆𝐫k(V), a basis can be found consisting of k linearly independent column vectors (W1,…,Wk). The homogeneous coordinates of the element w∈𝐆𝐫k(V) consist of the elements of the n×k maximal rank rectangular matrix W whose i-th column vector is Wi, i=1,…,k. Since the choice of basis is arbitrary, two such maximal rank rectangular matrices W and W~ represent the same element w∈𝐆𝐫k(V) if and only if

W~=Wg

for some element g∈GL(k,K) of the general linear group of invertible k×k matrices with entries in K. This defines an equivalence relation between n×k matrices W of rank k, for which the equivalence classes are denoted [W].

A coordinate atlas ensures that for any n×k homogeneous coordinate matrix W, elementary column operations can be applied (essentially multiplying W by a sequence of elements g∈GL(k,K)) to obtain its reduced column echelon form. If the first k rows of W are linearly independent, the result has the form

[11⋱1a1,1⋯⋯a1,k⋮⋮an−k,1⋯⋯an−k,k]

and the (n−k)×k affine coordinate matrix A with entries (aij) determines w. In general, the first k rows need not be independent, but since W has maximal rank k, an ordered set of integers 1≤i1<⋯<ik≤n exists such that the k×k submatrix Wi1,…,ik whose rows are the (i1,…,ik)-th rows of W is nonsingular. Column operations can reduce this submatrix to the identity matrix, and the remaining entries uniquely determine w. This gives the following definition:

For each ordered set of integers 1≤i1<⋯<ik≤n, let Ui1,…,ik a set of elements w∈𝐆𝐫k(V) exists for which, for any choice of homogeneous coordinate matrix W, the k×k submatrix Wi1,…,ik whose j-th row is the ij-th row of W is nonsingular. The affine coordinate functions on Ui1,…,ik are then defined as the entries of the (n−k)×k matrix Ai1,…,ik whose rows are those of the matrix WWi1,…,ik−1 complementary to (i1,…,ik), written in the same order. The choice of homogeneous n×k coordinate matrix W in [W] representing the element w∈𝐆𝐫k(V) does not affect the values of the affine coordinate matrix Ai1,…,ik representing Template:Mvar on the coordinate neighbourhood Ui1,…,ik. Moreover, the coordinate matrices Ai1,…,ik may take arbitrary values, and they define a diffeomorphism from Ui1,…,ik to the space of K-valued (n−k)×k matrices. This can be denoted by

Âi1,…,ik:=W(Wi1,…,ik)−1

the homogeneous coordinate matrix having the identity matrix as the k×k submatrix with rows (i1,…,ik) and the affine coordinate matrix Ai1,…,ik in the consecutive complementary rows. On the overlap Ui1,…,ik∩Uj1,…,jk between any two such coordinate neighborhoods, the affine coordinate matrix values Ai1,…,ik and Aj1,…,jk are related by the transition relations

Âi1,…,ikWi1,…,ik=Âj1,…,jkWj1,…,jk,

where both Wi1,…,ik and Wj1,…,jk are invertible. This may equivalently be written as

Âj1,…,jk=Âi1,…,ik(Âj1,…,jki1,…,ik)−1,

where Âj1,…,jki1,…,ik is the invertible k×k matrix whose lth row is the jlth row of Âi1,…,ik. The transition functions are therefore rational in the matrix elements of Ai1,…,ik, and {Ui1,…,ik,Ai1,…,ik} gives an atlas for 𝐆𝐫k(V) as a differentiable manifold and also as an algebraic variety.

Orthogonal projections

An alternative way to define a real or complex Grassmannian as a manifold is to view it as a set of orthogonal projection operators.Template:SfnTemplate:Page needed For this, a positive definite real or Hermitian inner product ⟨⋅,⋅⟩ on V can be chosen, depending on whether V is real or complex. A k-dimensional subspace w determines a unique orthogonal projection operator Pw:V→V whose image is w⊂V by splitting V into the orthogonal direct sum

V=w⊕w⊥

of w and its orthogonal complement w⊥ and defining

Pw(v)={v if v∈w0 if v∈w⊥.

Conversely, every projection operator P of rank k defines a subspace wP:=Im(P) as its image. Since the rank of an orthogonal projection operator equals its trace, we can identify the Grassmann manifold 𝐆𝐫(k,V) with the set of rank k orthogonal projection operators P:

𝐆𝐫(k,V)∼{P∈End(V)∣P=P2=P†,tr(P)=k}.

In particular, taking V=𝐑n or V=𝐂n gives completely explicit equations for embedding the Grassmannians 𝐆𝐫(k,𝐑N), 𝐆𝐫(k,𝐂N) in the space of real or complex n×n matrices 𝐑n×n, 𝐂n×n, respectively.

Since this defines the Grassmannian as a closed subset of the sphere {X∈End(V)∣tr(XX†)=k} the Grassmannian is a compact Hausdorff space. This construction also turns the Grassmannian 𝐆𝐫(k,V) into a metric space with metric

d(w,w′):=‖Pw−Pw′‖,

for any pair w,w′⊂V of k-dimensional subspaces, where Template:Math denotes the operator norm. The exact inner product used does not matter, because a different inner product gives an equivalent norm on V, and hence an equivalent metric.

For the case of real or complex Grassmannians, the following is an equivalent way to express the above construction in terms of matrices.

Affine algebraic varieties

Let M(n,𝐑) denote the space of real n×n matrices and the subset P(k,n,𝐑)⊂M(n,𝐑) of matrices P∈M(n,𝐑) that satisfy the three conditions:

A bijective correspondence exists between P(k,n,𝐑) and the Grassmannian 𝐆𝐫(k,𝐑n) of k-dimensional subspaces of 𝐑n given by sending P∈P(k,n,𝐑) to the k-dimensional subspace of 𝐑n spanned by its columns and, conversely, sending any element w∈𝐆𝐫(k,𝐑n) to the projection matrix

Pw:=∑i=1kwiwiT,

where (w1,⋯,wk) is any orthonormal basis for w⊂𝐑n, viewed as real n component column vectors.

An analogous construction applies to the complex Grassmannian 𝐆𝐫(k,𝐂n), identifying it bijectively with the subset P(k,n,𝐂)⊂M(n,𝐂) of complex n×n matrices P∈M(n,𝐂) satisfying

where the self-adjointness is with respect to the Hermitian inner product ⟨⋅,⋅⟩ in which the standard basis vectors (e1,⋯,en) are orthonomal. The formula for the orthogonal projection matrix Pw onto the complex k-dimensional subspace w⊂𝐂n spanned by the orthonormal (unitary) basis vectors (w1,⋯,wk) is

Pw:=∑i=1kwiwi†.

Homogeneous space

The quickest way of giving the Grassmannian a geometric structure is to express it as a homogeneous space. The general linear group GL(V) acts transitively on the k-dimensional subspaces of V. Therefore, by choosing a subspace w0⊂V of dimension k, any element w∈𝐆𝐫(k,V) can be expressed as

w=g(w0)

for some group element g∈GL(V), where g is determined only up to right multiplication by elements {h∈H} of the stabilizer of w0:

H:=stab(w0):={h∈GL(V)|h(w0)=w0}⊂GL(V)

under the GL(V)-action.

𝐆𝐫(k,V) can be identified with the quotient space

𝐆𝐫(k,V)=GL(V)/H

of left cosets of H.

If the underlying field 𝐑 or 𝐂 and GL(V) is considered as a Lie group, this construction makes the Grassmannian a smooth manifold under the quotient structure. More generally, over a ground field K, the group GL(V) is an algebraic group, and this construction shows that the Grassmannian is a non-singular algebraic variety. It follows from the existence of the Plücker embedding that the Grassmannian is complete as an algebraic variety. In particular, H is a parabolic subgroup of GL(V).

Over 𝐑 or 𝐂 it becomes possible to use smaller groups in this construction. To do this over 𝐑, a Euclidean inner product can be fixed q on V. The real orthogonal group O(V,q) acts transitively on the set of k-dimensional subspaces 𝐆𝐫(k,V) and the stabiliser of a k-space w0⊂V is

O(w0,q|w0)×O(w0⊥,q|w0⊥),

where w0⊥ is the orthogonal complement of w0 in V. This gives an identification as the homogeneous space

𝐆𝐫(k,V)=O(V,q)/(O(w,q|w)×O(w⊥,q|w⊥)).

taking V=𝐑n and w0=𝐑k⊂𝐑n (the first k components) gives the isomorphism

𝐆𝐫(k,𝐑n)=O(n)/(O(k)×O(n−k)).

Over Template:Math, choosing an Hermitian inner product h let the unitary group U(V,h) act transitively, and analogously

𝐆𝐫(k,V)=U(V,h)/(U(w0,h|w0)×U(w0⊥|,hw0⊥)),

or, for V=𝐂n and w0=𝐂k⊂𝐂n,

𝐆𝐫(k,𝐂n)=U(n)/(U(k)×U(n−k)).

In particular, this shows that the Grassmannian is compact, and of (real or complex) dimension Template:Math.

Scheme

In the realm of algebraic geometry, the Grassmannian can be constructed as a scheme by expressing it as a representable functor.[2]

Representable functor

If ℰ is a quasi-coherent sheaf on a scheme S for a positive integer k, then to each S-scheme T, the Grassmannian functor associates the set of quotient modules of

ℰT:=ℰ⊗OSOT

locally free of rank k on T. We denote this set by 𝐆𝐫(k,ℰT).

This functor is representable by a separated S-scheme 𝐆𝐫(k,ℰ). The latter is projective if ℰ is finitely generated. When S is the spectrum of a field K, then the sheaf ℰ is given by a vector space V and the usual Grassmannian variety of the dual space of Vcan be recovered, namely: 𝐆𝐫(k,V). By construction, the Grassmannian scheme is compatible with base changes: for any S-scheme S′, giving the canonical isomorphism

𝐆𝐫(k,ℰ)×SS′≃𝐆𝐫(k,ℰS′)

In particular, for any point s of S, the canonical morphism {s}=SpecK(s)→S induces an isomorphism from the fiber 𝐆𝐫(k,ℰ)s to the usual Grassmannian 𝐆𝐫(k,ℰ⊗OSK(s)) over the residue field K(s).

Universal family

Since the Grassmannian scheme represents a functor, it comes with a universal object, 𝒢, which is an object of 𝐆𝐫(k,ℰ𝐆𝐫(k,ℰ)), and therefore a quotient module 𝒢 of ℰ𝐆𝐫(k,ℰ), locally free of rank k over 𝐆𝐫(k,ℰ). The quotient homomorphism induces a closed immersion from the projective bundle:

𝐏(𝒢)→𝐏(ℰ𝐆𝐫(k,ℰ))=𝐏(ℰ)×S𝐆𝐫(k,ℰ).

For any morphism of Template:Mvar-schemes:

T→𝐆𝐫(k,ℰ),

this closed immersion induces a closed immersion

𝐏(𝒢T)→𝐏(ℰ)×ST.

Conversely, any such closed immersion comes from a surjective homomorphism of OT-modules from ℰT to a locally free module of rank k.[3] Therefore, the elements of 𝐆𝐫(k,ℰ)(T) are exactly the projective subbundles of rank k in 𝐏(ℰ)×ST.

Under this identification, when T=S is the spectrum of a field K and ℰ is given by a vector space V, the set of rational points 𝐆𝐫(k,ℰ)(K) correspond to the projective linear subspaces of dimension k−1 in 𝐏(V), and the image of 𝐏(𝒢)(K) in

𝐏(V)×K𝐆𝐫(k,ℰ)

is the set

{(x,v)∈𝐏(V)(K)×𝐆𝐫(k,ℰ)(K)∣x∈v}.

Plücker embedding

Template:Main

The Plücker embedding[4] is a natural embedding of the Grassmannian 𝐆𝐫(k,V) into the projectivization of the kth exterior power ΛkV of V.

ι:𝐆𝐫(k,V)→𝐏(ΛkV).

Supposing that w⊂V is a k-dimensional subspace of the n-dimensional vector space V. To define ι(w), a basis (w1,⋯,wk) for w can be chosen with ι(w) as the projectivization of the wedge product of these basis elements:ι(w)=[w1∧⋯∧wk],where [⋅] denotes the projective equivalence class.

A different basis for w gives a different wedge product, but the two differ only by a non-zero scalar multiple (the determinant of the change of basis matrix). Since the right-hand side takes values in the projectivized space, ι is well-defined. That it is an embedding, is shown by recovering w from ι(w) as the span of the set of all vectors v∈V such that

v∧ι(w)=0.

Plücker coordinates and Plücker relations

The Plücker embedding of the Grassmannian satisfies simple quadratic relations called the Plücker relations. These show that the Grassmannian 𝐆𝐫k(V) embeds as a nonsingular projective algebraic subvariety of the projectivization 𝐏(ΛkV) of the kth exterior power of V and gives another method for constructing the Grassmannian. To state the Plücker relations, a basis (e1,⋯,en) for V is fixed, and w⊂V becomes a k-dimensional subspace of V with basis (w1,⋯,wk). (wi1,⋯,win) becomes the components of wi with respect to the chosen basis of V, and (W1,…,Wn) the k-component column vectors forming the transpose of the corresponding homogeneous coordinate matrix:

WT=[W1⋯Wn]=[w11⋯w1n⋮⋱⋮wk1⋯wkn],

For any ordered sequence 1≤i1<⋯<ik≤n of k positive integers, wi1,…,ik becomes the determinant of the k×k matrix with columns [Wi1,…,Wik]. The elements {wi1,…,ik|1≤i1<⋯<ik≤n} are the Plücker coordinates of the element w∈𝐆𝐫k(V) of the Grassmannian (with respect to the basis (e1,⋯,en) of V). These are the linear coordinates of the image ι(w) of w under the Plücker map, relative to the basis of the exterior power ΛkV space generated by the basis (e1,⋯,en) of V. Since a change of basis for w gives rise to multiplication of the Plücker coordinates by a nonzero constant (the determinant of the change of basis matrix), these are only defined up to projective equivalence, and hence determine a point in 𝐏(ΛkV).

For any two ordered sequences 1≤i1<i2⋯<ik−1≤n and 1≤j1<j2⋯<jk+1≤n of k−1 and k+1 positive integers, respectively, the following homogeneous quadratic equations, known as the Plücker relations, or the Plücker-Grassmann relations, are valid and determine the image ι(𝐆𝐫k(V)) of 𝐆𝐫k(V) under the Plücker map embedding:

∑l=1k+1(−1)ℓwi1,…,ik−1,jlwj1,…,jl^,…jk+1=0,

where j1,…,jl^,…jk+1 denotes the sequence j1,…,jk+1 with the term jl omitted. These are consistent, determining a nonsingular projective algebraic variety, but they are not algebraically independent. They are equivalent to the statement that ι(w) is the projectivization of a completely decomposable element of ΛkV.

When dim⁡(V)=4, and k=2 (the simplest Grassmannian that is not a projective space), the above reduces to a single equation. Denoting the homogeneous coordinates of the image ι(𝐆𝐫2(V)⊂𝐏(Λ2V) under the Plücker map as (w12,w13,w14,w23,w24,w34), this single Plücker relation is

w12w34−w13w24+w14w23=0.

In general, many more equations are needed to define the image ι(𝐆𝐫k(V)) of the Grassmannian in 𝐏(ΛkV) under the Plücker embedding.

Duality

Every k-dimensional subspace W⊂V determines an (n−k)-dimensional quotient space V/W of V. This gives the natural short exact sequence:

0→W→V→V/W→0.

Taking the dual to each of these three spaces and the dual linear transformations yields an inclusion of (V/W)∗ in V∗ with quotient W∗

0→(V/W)∗→V∗→W∗→0.

Using the natural isomorphism of a finite-dimensional vector space with its double dual shows that taking the dual again recovers the original short exact sequence. Consequently, a one-to-one correspondence links k-dimensional subspaces of V and (n−k)-dimensional subspaces of V∗. In terms of the Grassmannian, this gives a canonical isomorphism

𝐆𝐫k(V)↔𝐆𝐫n−k(V∗)

that associates to each subspace W⊂V its annihilator W0⊂V∗. Choosing an isomorphism of V with V∗ therefore determines a (non-canonical) isomorphism between 𝐆𝐫k(V) and 𝐆𝐫n−k(V). An isomorphism of V with V∗ is equivalent to the choice of an inner product, so with respect to the chosen inner product, this isomorphism of Grassmannians sends any k-dimensional subspace into its (n−k)-dimensional orthogonal complement.

Schubert cells

The detailed study of Grassmannians makes use of a decomposition into affine subpaces called Schubert cells, which were first applied in enumerative geometry. The Schubert cells for 𝐆𝐫k(V) are defined in terms of a specified complete flag of subspaces V1⊂V2⊂⋯⊂Vn=V of dimension dim(Vi)=i. For any integer partition

λ=(λ1,⋯,λk)

of weight

|λ|=∑i=1kλi

consisting of weakly decreasing non-negative integers

λ1≥⋯≥λk≥0,

whose Young diagram fits within the rectangular one (n−k)k, the Schubert cell Xλ(k,n)⊂𝐆𝐫k(V) consists of those elements W∈𝐆𝐫k(V) whose intersections with the subspaces {Vi} have the following dimensions

Xλ(k,n)={W∈𝐆𝐫k(V)|dim⁡(W∩Vn−k+j−λj)=j}.

These are affine spaces, and their closures (within the Zariski topology) are Schubert varieties.

As an example of the technique, determining the Euler characteristic χk,n of the Grassmannian 𝐆𝐫k(𝐑n) of Template:Mvar-dimensional subspaces of Template:Math is illustrative. Fixing a 1-dimensional subspace 𝐑⊂𝐑n and partitioning 𝐆𝐫k(𝐑n) into Template:Mvar-dimensional subspaces of Template:Math that contain Template:Math and those that do not, reveals that the former is 𝐆𝐫k−1(𝐑n−1) and the latter is a rank k vector bundle over 𝐆𝐫k(𝐑n−1). This gives recursive formulae:

χk,n=χk−1,n−1+(−1)kχk,n−1,χ0,n=χn,n=1.

Solving these recursion relations gives the formula: χk,n=0 if n is even and k is odd and

χk,n=(⌊n2⌋⌊k2⌋)

otherwise.

Cohomology ring

Every point in the complex Grassmann manifold 𝐆𝐫k(𝐂n) defines a k-plane in n-space. Mapping each point in a k-plane to the point representing that plane in the Grassmannian yields the vector bundle E, which generalizes the tautological bundle of a projective space. Similarly the (n−k)-dimensional orthogonal complements of these planes yield an orthogonal vector bundle F. The integral cohomology of the Grassmannians is generated, as a ring, by the Chern classes of E. In particular, all of the integral cohomology is at even degree as in the case of a projective space.

These generators are subject to a set of relations, which defines the ring. The defining relations are easy to express for a larger set of generators, which consists of the Chern classes of E and F. Then the relations state that the direct sum of the bundles E and F is trivial. Functoriality of the total Chern classes shows that this relation is

c(E)c(F)=1.

The quantum cohomology ring was calculated by Edward Witten.[5] The generators are identical to those of the classical cohomology ring, but with the top relation

ck(E)cn−k(F)=(−1)n−k

reflecting the existence in the corresponding quantum field theory of an instanton with 2n fermionic zero-modes, which violates the degree of the cohomology corresponding to a state by 2n units.

Associated measure

When V is an n-dimensional Euclidean space, a uniform measure on 𝐆𝐫k(V) can be defined. If θn is the unit Haar measure on the orthogonal group O(n) and fix w∈𝐆𝐫k(V), then for a set A⊂𝐆𝐫k(V) ,

γk,n(A)=θn{g∈O⁡(n):gw∈A}.

This measure is invariant under the action of the group O(n); that is,

γk,n(gA)=γk,n(A)

for all g∈O(n). Since θn(O(n))=1, γk,n(𝐆𝐫k(V))=1. Moreover, γk,n is a Radon measure with respect to the metric space topology and is uniform in the sense that every ball of the same radius (with respect to this metric) is of the same measure.

Oriented Grassmannian

This is the manifold consisting of all oriented k-dimensional subspaces of 𝐑n. It is a double cover of 𝐆𝐫k(𝐑n) and is denoted by 𝐆𝐫~k(𝐑n).

As a homogeneous space it can be expressed as:

𝐆𝐫~k(𝐑n)=SO⁡(n)/(SO⁡(k)×SO⁡(n−k)).

Orthogonal isotropic Grassmannians

Given a real or complex nondegenerate symmetric bilinear form Q on the n-dimensional space V (i.e., a scalar product), the totally isotropic Grassmannian 𝐆𝐫k0(V,Q) is defined as the subvariety 𝐆𝐫k0(V,Q)⊂𝐆𝐫k(V) consisting of all k-dimensional subspaces w⊂V for which

Q(u,v)=0,∀u,v∈w,

i.e., totally isotropic subspaces. Maximal isotropic Grassmannians with respect to a real or complex scalar product are related to Cartan's theory of spinors. Under the Cartan embedding, their connected components are equivariantly diffeomorphic to the projectivized minimal spinor orbit. Under the spin representation, the projective pure spinor variety which, similarly to the image of the Plücker map embedding, is cut out as the intersection of a number of quadrics, becomes Cartan quadrics.[6][7][8]

Applications

Pure mathematics

A key application of Grassmannians is as the "universal" embedding space for bundles with connections on compact manifolds.[9][10]

Another important application is Schubert calculus, which is the enumerative geometry involved in calculating the number of points, lines, planes, etc. in a projective space that intersect a given set of points, lines, etc., using the intersection theory of Schubert varieties. Subvarieties of Schubert cells can also be used to parametrize simultaneous eigenvectors of complete sets of commuting operators in quantum integrable spin systems, such as the Gaudin model, using the Bethe ansatz method.[11]

Physics

A further application is to the solution of hierarchies of classical completely integrable systems of partial differential equations, such as the Kadomtsev–Petviashvili equation and the associated KP hierarchy. These can be expressed in terms of Abelian group flows on an infinite-dimensional Grassmann manifold.[12][13][14][15] The KP equations, expressed in Hirota bilinear form in terms of the KP Tau function are equivalent to the Plücker relations.[16][15] A similar construction holds for solutions of the BKP integrable hierarchy, in terms of Abelian group flows on an infinite dimensional, maximal isotropic, Grassmann manifold.[13][14][17]

Finite dimensional positive Grassmann manifolds can be used to express soliton solutions of KP equations that are nonsingular for real values of the KP flow parameters.[18][19][20]

The scattering amplitudes of subatomic particles in maximally supersymmetric super Yang-Mills theory may be calculated in the planar limit via a positive Grassmannian construct called the amplituhedron.[21]

In quantum chemistry and many-body quantum physics, the Grassmannian can be identified with the space of pure many-particle fermionic states which can be written as a single Slater determinant. The geometric properties of the Grassmannian can be used to study theoretical properties of the Hartree-Fock method.[22]

Computer science

Grassmann manifolds have found applications in computer vision tasks of video-based face recognition and shape recognition,[23] and are used in the data-visualization technique known as the grand tour.

Grassmann flows are under consideration as a potential replacement for attention mechanisms in large language models, based on research showing competitive performance with better computational efficiency and interpretability. Using low-dimensional subspaces on the Grassmann manifold, causal Grassmann layers allow:

  • reducing token states to a lower dimension (e.g., from 256 to 32).
  • encoding local token pairs as 2D subspaces using Plücker coordinates.
  • fusing into hidden states through gated mixing, allowing information to "flow" via controlled deformations over multi-scale local windows.
  • avoiding high-dimensional, pairwise tensor operations of standard self-attention, confining computations to a structured manifold for more traceable geometry.

In contrast to attention models, which process context at the scale of (O(n²)), Grassmann flows address scale linearly (O(n) for fixed subspace rank), enabling efficiency on long sequences without approximations like sparse attention.[24]

See also

References

  1. ↑ Template:Harvtxt, pp. 57–59.
  2. ↑ Template:Cite book, Chapter I.9
  3. ↑ EGA, II.3.6.3.
  4. ↑ Template:Citation
  5. ↑ Template:Cite arXiv
  6. ↑ Template:Cite book
  7. ↑ Template:Cite journal
  8. ↑ Template:Cite journal
  9. ↑ Template:Cite journal
  10. ↑ Template:Cite journal
  11. ↑ Template:Cite journal
  12. ↑ M. Sato, "Soliton equations as dynamical systems on infinite dimensional Grassmann manifolds", Kokyuroku, RIMS, Kyoto Univ., 30–46 (1981).
  13. ↑ 13.0 13.1 Template:Cite journal
  14. ↑ 14.0 14.1 Template:Cite journal
  15. ↑ 15.0 15.1 Template:Cite book
  16. ↑ Template:Cite journal
  17. ↑ Template:Cite book
  18. ↑ Template:Cite journal
  19. ↑ Template:Cite journal
  20. ↑ Template:Cite web
  21. ↑ Template:Cite journal
  22. ↑ Template:Cite journal
  23. ↑ Pavan Turaga, Ashok Veeraraghavan, Rama Chellappa: Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision, CVPR 23–28 June 2008, IEEE Conference on Computer Vision and Pattern Recognition, 2008, Template:ISBN, pp. 1–8 (abstract, full text)
  24. ↑ Template:Cite arXiv
  25. ↑ Template:Cite journal, see section 4.3., pp. 137–140

Sources

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