In mathematics, an embedding (or imbedding suggests that "the English" (i.e. the British) use "embedding" instead of "imbedding".) is one instance of some mathematical structure contained within another instance, such as a group that is a subgroup.
When some object is said to be embedded in another object , the embedding is given by some injective and structure-preserving map . The precise meaning of "structure-preserving" depends on the kind of mathematical structure of which and are instances. In the terminology of category theory, a structure-preserving map is called a morphism.
The fact that a map is an embedding is often indicated by the use of a "hooked arrow" (); thus: (On the other hand, this notation is sometimes reserved for .)
Given and , several different embeddings of in may be possible. In many cases of interest there is a standard (or "canonical") embedding, like those of the in the , the integers in the , the rational numbers in the , and the real numbers in the . In such cases it is common to identify the domain with its image contained in , so that .
For a given space , the existence of an embedding is a topological invariant of . This allows two spaces to be distinguished if one is able to be embedded in a space while the other is not.
Every injective function is locally injective but not conversely. Local diffeomorphisms, local homeomorphisms, and smooth immersions are all locally injective functions that are not necessarily injective. The inverse function theorem gives a sufficient condition for a continuously differentiable function to be (among other things) locally injective. Every fiber of a locally injective function is necessarily a Discrete space of its domain
In other words, the domain of an embedding is diffeomorphism to its image, and in particular the image of an embedding must be a submanifold. An immersion is precisely a local embedding, i.e. for any point there is a neighborhood such that is an embedding.
When the domain manifold is compact, the notion of a smooth embedding is equivalent to that of an injective immersion.
An important case is . The interest here is in how large must be for an embedding, in terms of the dimension of . The Whitney embedding theoremWhitney H., Differentiable manifolds, Ann. of Math. (2), 37 (1936), pp. 645–680 states that is enough, and is the best possible linear bound. For example, the real projective space of dimension , where is a power of two, requires for an embedding. However, this does not apply to immersions; for instance, can be immersed in as is explicitly shown by Boy's surface—which has self-intersections. The Roman surface fails to be an immersion as it contains .
An embedding is proper if it behaves well with respect to boundaries: one requires the map to be such that
The first condition is equivalent to having and . The second condition, roughly speaking, says that is not tangent to the boundary of .
Analogously, isometric immersion is an immersion between (pseudo)-Riemannian manifolds that preserves the (pseudo)-Riemannian metrics.
Equivalently, in Riemannian geometry, an isometric embedding (immersion) is a smooth embedding (immersion) that preserves length of (cf. Nash embedding theorem).Nash J., The embedding problem for Riemannian manifolds, Ann. of Math. (2), 63 (1956), 20–63.
The kernel of is an ideal of , which cannot be the whole field , because of the condition . Furthermore, any field has as ideals only the zero ideal and the whole field itself (because if there is any non-zero field element in an ideal, it is invertible, showing the ideal is the whole field). Therefore, the kernel is , so any embedding of fields is a monomorphism. Hence, is isomorphic to the Field extension of . This justifies the name embedding for an arbitrary homomorphism of fields.
Here is a model theoretical notation equivalent to . In model theory there is also a stronger notion of elementary embedding.
Injectivity of follows quickly from this definition. In domain theory, an additional requirement is that
One of the basic questions that can be asked about a finite-dimensional normed space is, what is the maximal dimension such that the Hilbert space can be linearly embedded into with constant distortion?
The answer is given by Dvoretzky's theorem.
Ideally the class of all embedded of a given object, up to isomorphism, should also be small class, and thus an ordered set. In this case, the category is said to be well powered with respect to the class of embeddings. This allows defining new local structures in the category (such as a closure operator).
In a concrete category, an embedding is a morphism that is an injective function from the underlying set of to the underlying set of and is also an initial morphism in the following sense: If is a function from the underlying set of an object to the underlying set of , and if its composition with is a morphism , then itself is a morphism.
A factorization system for a category also gives rise to a notion of embedding. If is a factorization system, then the morphisms in may be regarded as the embeddings, especially when the category is well powered with respect to . Concrete theories often have a factorization system in which consists of the embeddings in the previous sense. This is the case of the majority of the examples given in this article.
As usual in category theory, there is a dual concept, known as quotient. All the preceding properties can be dualized.
An embedding can also refer to an embedding functor.
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