Embeddings of X in Y and Y in X Defined by f(x) and g(y)

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In summary, x0 \inX and y0\inY, f:X\rightarrowX x Y and g: Y\rightarrowX x Y are embeddings that map one topological space into another. They are defined by filling in missing coordinates with a fixed point in the other space. These embeddings are one instance of a mathematical structure contained within another instance, such as a subgroup in a group.
  • #1
tomboi03
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x0 [tex]\in[/tex]X and y0[tex]\in[/tex]Y,
f:X[tex]\rightarrow[/tex]X x Y and g: Y[tex]\rightarrow[/tex]X x Y defined by
f(x)= x x y0 and g(y)=x0 x y are embeddings

This is all I have...
f(x): {(x,y): x[tex]\in[/tex]X and y[tex]\in[/tex]Y}
g(y): {(x,y): x[tex]\in[/tex]X and y[tex]\in[/tex]Y}

right?
soo... embeddings are... one instance of some mathematical structure contained within another instance, such as a group that is a subgroup.i don't know how to do go about this...
 
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  • #2
An embedding is literally what it says: a function that embeds one topological space in another. For example, if n > 1 then
[tex]f: \mathbb{R} \to \mathbb{R}^n, x \mapsto (x, 0, 0, \cdots, 0)[/tex]
embeds the real line in some space (like the plane or three-dimensional Euclidean space),
[tex]g: S^1 \to \mathbb{R}^2, \theta \mapsto (\cos\theta, \sin\theta)[/tex]
embeds the circle in the plane, but you can also embed it in a sphere
[tex]h: S^1 \to S^2, \theta \mapsto (\cos\theta, \sin\theta, 0)[/tex]
which maps the circle S^1 to the equator of the sphere S^2 (you can even compose this with any rotation, which just maps it to some other great circle on the sphere).

The function you gave, for example
[tex]X \to X \times Y, x \mapsto (x, y_0)[/tex]
is a simple example of a general embedding. Basically what you do is choose a fixed point in Y, and then embed X in X x Y by simply filling in the "missing" coordinates with y0. For example, the embedding of the real line in Euclidean space which I called f above, can be obtained in this way: set [itex]X = \mathbb{R}, Y = \mathbb{R}^{n - 1}, y_0 = \vec 0_{n-1}[/itex] where [itex]\vec 0_{n-1}[/itex] is the zero vector in [itex]\mathbb{R}^{n-1}[/itex].
 

1. What are embeddings and how are they defined?

Embeddings are mathematical functions that map one set of objects, called the source set, to another set of objects, called the target set. They are defined by two functions, f(x) and g(y), which represent the mappings from the source set to the target set and vice versa, respectively.

2. What is the purpose of embeddings in scientific research?

Embeddings are used to represent complex relationships between different sets of objects in a more simplified and structured manner. They allow for easier analysis and comparison of data, making them useful in various fields such as natural language processing, computer vision, and machine learning.

3. How do f(x) and g(y) differ in an embedding?

f(x) represents the embedding of the source set in the target set, while g(y) represents the embedding of the target set in the source set. This means that f(x) maps objects from the source set to the target set, while g(y) maps objects from the target set to the source set.

4. What is the relationship between embeddings and dimensionality reduction?

Embeddings can be used for dimensionality reduction, which is the process of reducing the number of features or variables in a dataset. By mapping high-dimensional data onto a lower-dimensional space, embeddings can simplify the data and make it easier to visualize and analyze.

5. Can embeddings be used for different types of data?

Yes, embeddings can be used for various types of data such as text, images, and graphs. The functions f(x) and g(y) can be customized to fit the specific characteristics of the data being embedded, making it a versatile method for representing relationships between different types of objects.

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