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

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The discussion focuses on the mathematical concept of embeddings, specifically the functions f and g that define embeddings of sets X and Y into the Cartesian product X x Y. The functions are defined as f(x) = (x, y0) and g(y) = (x0, y), illustrating how one topological space can be embedded within another. Examples include embedding the real line into higher-dimensional Euclidean spaces and embedding the circle into both the plane and a sphere. The key takeaway is that embeddings involve mapping elements from one space to another while maintaining their structural properties.

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x0 \inX and y0\inY,
f:X\rightarrowX x Y and g: Y\rightarrowX 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\inX and y\inY}
g(y): {(x,y): x\inX and y\inY}

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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An embedding is literally what it says: a function that embeds one topological space in another. For example, if n > 1 then
f: \mathbb{R} \to \mathbb{R}^n, x \mapsto (x, 0, 0, \cdots, 0)
embeds the real line in some space (like the plane or three-dimensional Euclidean space),
g: S^1 \to \mathbb{R}^2, \theta \mapsto (\cos\theta, \sin\theta)
embeds the circle in the plane, but you can also embed it in a sphere
h: S^1 \to S^2, \theta \mapsto (\cos\theta, \sin\theta, 0)
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
X \to X \times Y, x \mapsto (x, y_0)
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 X = \mathbb{R}, Y = \mathbb{R}^{n - 1}, y_0 = \vec 0_{n-1} where \vec 0_{n-1} is the zero vector in \mathbb{R}^{n-1}.
 

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