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In
linear algebra Linear algebra is the branch of mathematics concerning linear equations such as :a_1x_1+\cdots +a_nx_n=b, linear maps such as :(x_1, \ldots, x_n) \mapsto a_1x_1+\cdots +a_nx_n, and their representations in vector spaces and through matrix (mathemat ...
, the quotient of a
vector space In mathematics and physics, a vector space (also called a linear space) is a set (mathematics), set whose elements, often called vector (mathematics and physics), ''vectors'', can be added together and multiplied ("scaled") by numbers called sc ...
V by a subspace N is a vector space obtained by "collapsing" N to zero. The space obtained is called a quotient space and is denoted V/N (read "V mod N" or "V by N").


Definition

Formally, the construction is as follows. Let V be a
vector space In mathematics and physics, a vector space (also called a linear space) is a set (mathematics), set whose elements, often called vector (mathematics and physics), ''vectors'', can be added together and multiplied ("scaled") by numbers called sc ...
over a field \mathbb, and let N be a subspace of V. We define an equivalence relation \sim on V by stating that x \sim y iff . That is, x is related to y if and only if one can be obtained from the other by adding an element of N. This definition implies that any element of N is related to the zero vector; more precisely, all the vectors in N get mapped into the equivalence class of the zero vector. The equivalence class – or, in this case, the coset – of x is defined as : := \ and is often denoted using the shorthand = x + N. The quotient space V/N is then defined as V/_\sim, the set of all equivalence classes induced by \sim on V. Scalar multiplication and addition are defined on the equivalence classes by *\alpha = alpha x/math> for all \alpha \in \mathbb, and * + = +y/math>. It is not hard to check that these operations are well-defined (i.e. do not depend on the choice of representatives). These operations turn the quotient space V/N into a vector space over \mathbb with N being the zero class, /math>. The mapping that associates to the equivalence class /math> is known as the quotient map. Alternatively phrased, the quotient space V/N is the set of all affine subsets of V which are parallel to


Examples


Lines in Cartesian Plane

Let be the standard Cartesian plane, and let ''Y'' be a line through the origin in ''X''. Then the quotient space ''X''/''Y'' can be identified with the space of all lines in ''X'' which are parallel to ''Y''. That is to say that, the elements of the set ''X''/''Y'' are lines in ''X'' parallel to ''Y''. Note that the points along any one such line will satisfy the equivalence relation because their difference vectors belong to ''Y''. This gives a way to visualize quotient spaces geometrically. (By re-parameterising these lines, the quotient space can more conventionally be represented as the space of all points along a line through the origin that is not parallel to ''Y''. Similarly, the quotient space for R3 by a line through the origin can again be represented as the set of all co-parallel lines, or alternatively be represented as the vector space consisting of a plane which only intersects the line at the origin.)


Subspaces of Cartesian Space

Another example is the quotient of R''n'' by the subspace spanned by the first ''m'' standard basis vectors. The space R''n'' consists of all ''n''-tuples of
real number In mathematics, a real number is a number that can be used to measure a continuous one- dimensional quantity such as a duration or temperature. Here, ''continuous'' means that pairs of values can have arbitrarily small differences. Every re ...
s . The subspace, identified with R''m'', consists of all ''n''-tuples such that the last ''n'' − ''m'' entries are zero: . Two vectors of R''n'' are in the same equivalence class modulo the subspace
if and only if In logic and related fields such as mathematics and philosophy, "if and only if" (often shortened as "iff") is paraphrased by the biconditional, a logical connective between statements. The biconditional is true in two cases, where either bo ...
they are identical in the last ''n'' − ''m'' coordinates. The quotient space R''n''/R''m'' is
isomorphic In mathematics, an isomorphism is a structure-preserving mapping or morphism between two structures of the same type that can be reversed by an inverse mapping. Two mathematical structures are isomorphic if an isomorphism exists between the ...
to R''n''−''m'' in an obvious manner.


Polynomial Vector Space

Let \mathcal_3(\mathbb) be the vector space of all cubic polynomials over the real numbers. Then \mathcal_3(\mathbb) / \langle x^2 \rangle is a quotient space, where each element is the set corresponding to polynomials that differ by a quadratic term only. For example, one element of the quotient space is \, while another element of the quotient space is \.


General Subspaces

More generally, if ''V'' is an (internal) direct sum of subspaces ''U'' and ''W,'' :V=U\oplus W then the quotient space ''V''/''U'' is naturally isomorphic to ''W''.


Lebesgue Integrals

An important example of a functional quotient space is an L''p'' space.


Properties

There is a natural epimorphism from ''V'' to the quotient space ''V''/''U'' given by sending ''x'' to its equivalence class 'x'' The kernel (or nullspace) of this epimorphism is the subspace ''U''. This relationship is neatly summarized by the
short exact sequence In mathematics, an exact sequence is a sequence of morphisms between objects (for example, Group (mathematics), groups, Ring (mathematics), rings, Module (mathematics), modules, and, more generally, objects of an abelian category) such that the Im ...
:0\to U\to V\to V/U\to 0.\, If ''U'' is a subspace of ''V'', the
dimension In physics and mathematics, the dimension of a mathematical space (or object) is informally defined as the minimum number of coordinates needed to specify any point within it. Thus, a line has a dimension of one (1D) because only one coo ...
of ''V''/''U'' is called the
codimension In mathematics, codimension is a basic geometric idea that applies to subspaces in vector spaces, to submanifolds in manifolds, and suitable subsets of algebraic varieties. For affine and projective algebraic varieties, the codimension equals ...
of ''U'' in ''V''. Since a basis of ''V'' may be constructed from a basis ''A'' of ''U'' and a basis ''B'' of ''V''/''U'' by adding a representative of each element of ''B'' to ''A'', the dimension of ''V'' is the sum of the dimensions of ''U'' and ''V''/''U''. If ''V'' is finite-dimensional, it follows that the codimension of ''U'' in ''V'' is the difference between the dimensions of ''V'' and ''U'': :\mathrm(U) = \dim(V/U) = \dim(V) - \dim(U). Let ''T'' : ''V'' → ''W'' be a
linear operator In mathematics, and more specifically in linear algebra, a linear map (also called a linear mapping, linear transformation, vector space homomorphism, or in some contexts linear function) is a mapping V \to W between two vector spaces that pr ...
. The kernel of ''T'', denoted ker(''T''), is the set of all ''x'' in ''V'' such that ''Tx'' = 0. The kernel is a subspace of ''V''. The first isomorphism theorem for vector spaces says that the quotient space ''V''/ker(''T'') is isomorphic to the
image An image or picture is a visual representation. An image can be Two-dimensional space, two-dimensional, such as a drawing, painting, or photograph, or Three-dimensional space, three-dimensional, such as a carving or sculpture. Images may be di ...
of ''V'' in ''W''. An immediate corollary, for finite-dimensional spaces, is the rank–nullity theorem: the dimension of ''V'' is equal to the dimension of the kernel (the nullity of ''T'') plus the dimension of the image (the rank of ''T''). The cokernel of a linear operator ''T'' : ''V'' → ''W'' is defined to be the quotient space ''W''/im(''T'').


Quotient of a Banach space by a subspace

If ''X'' is a
Banach space In mathematics, more specifically in functional analysis, a Banach space (, ) is a complete normed vector space. Thus, a Banach space is a vector space with a metric that allows the computation of vector length and distance between vectors and ...
and ''M'' is a closed subspace of ''X'', then the quotient ''X''/''M'' is again a Banach space. The quotient space is already endowed with a vector space structure by the construction of the previous section. We define a norm on ''X''/''M'' by : \, \, _ = \inf_ \, x-m\, _X = \inf_ \, x+m\, _X = \inf_\, y\, _X.


Examples

Let ''C'' ,1denote the Banach space of continuous real-valued functions on the interval ,1with the sup norm. Denote the subspace of all functions ''f'' ∈ ''C'' ,1with ''f''(0) = 0 by ''M''. Then the equivalence class of some function ''g'' is determined by its value at 0, and the quotient space is isomorphic to R. If ''X'' is a Hilbert space, then the quotient space ''X''/''M'' is isomorphic to the orthogonal complement of ''M''.


Generalization to locally convex spaces

The quotient of a locally convex space by a closed subspace is again locally convex. Indeed, suppose that ''X'' is locally convex so that the
topology Topology (from the Greek language, Greek words , and ) is the branch of mathematics concerned with the properties of a Mathematical object, geometric object that are preserved under Continuous function, continuous Deformation theory, deformat ...
on ''X'' is generated by a family of
seminorm In mathematics, particularly in functional analysis, a seminorm is like a Norm (mathematics), norm but need not be positive definite. Seminorms are intimately connected with convex sets: every seminorm is the Minkowski functional of some Absorbing ...
s where ''A'' is an index set. Let ''M'' be a closed subspace, and define seminorms ''q''α on ''X''/''M'' by :q_\alpha( = \inf_ p_\alpha(v). Then ''X''/''M'' is a locally convex space, and the topology on it is the quotient topology. If, furthermore, ''X'' is metrizable, then so is ''X''/''M''. If ''X'' is a Fréchet space, then so is ''X''/''M''. p. 54, § 12.11.3


See also

* Quotient group * Quotient module * Quotient set * Quotient space (topology)


References


Sources

* * * * * {{Linear algebra Functional analysis Linear algebra Space (linear algebra)