Representation of elements of the Grassmannian space

In summary, the conversation discusses two different methods of representing k-subspaces of ℝn - the Plücker embedding and the Projection embedding. The Plücker embedding is well-known and extensively studied in classical literature, while the Projection embedding is not as commonly mentioned. The main differences between these two methods are not clear and the attached figure provides a definition for the Projection embedding. However, more information and clarification is needed on the symbols used in this context. It is suggested to refer to the references provided in [8] for further understanding.
  • #1
mnb96
715
5
Hi,

I am studying some material related to Grassmannians and in particular how to represent k-subspaces of ℝn as "points" in another space.

I think understood the general idea behind the Plücker embedding, however, I recently came across another type of embedding (the "Projection embedding") that sounds more intuitive and simpler to understand (see attached figure for its definition).

Can anyone elaborate a bit more on the main differences between Plücker and Projection embeddings?

In the past I browsed some old textbooks in the classical literature of algebraic geometry, and while the Plücker embedding is always treated extensively, the Projection embedding is not even mentioned at all. Why?
upload_2018-11-5_14-12-3.png
 

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  • #2
you need to define some of the symbols in your post to make it possible for us to comment. e.g what is X ? if a matrix, how does it represent an element of the grassmannian? also the text you quote contradicts your statement that the projection method is less studied than the plucker one. why not just look at some of the references in [8], which you do not give us.
 

Related to Representation of elements of the Grassmannian space

1. What is the Grassmannian space?

The Grassmannian space is a mathematical space that represents all possible vector subspaces of a given vector space. It is denoted as Gr(k,n) where k is the dimension of the vector space and n is the dimension of the subspace.

2. How are elements represented in the Grassmannian space?

Elements in the Grassmannian space are represented as points, where each point represents a specific vector subspace. These points are also known as Plücker coordinates and are used to uniquely identify each subspace.

3. What is the significance of the Grassmannian space in mathematics?

The Grassmannian space is important in mathematics because it provides a geometric representation of vector subspaces, which can be used to solve problems in linear algebra, geometry, and other areas of mathematics.

4. How is the Grassmannian space related to projective geometry?

The Grassmannian space is closely related to projective geometry because both involve the study of geometric objects that are invariant under certain transformations. In projective geometry, these transformations are projective transformations, while in the Grassmannian space, they are linear transformations.

5. Can the Grassmannian space be applied to real-world problems?

Yes, the Grassmannian space has many applications in real-world problems, such as computer vision, signal processing, and coding theory. It can also be used to study physical systems with multiple degrees of freedom, such as molecules and quantum states.

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