Quotient space (linear algebra)

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In linear algebra, the quotient of a vector space by a subspace is a vector space obtained by "collapsing" to zero. The space obtained is called a quotient space and is denoted (read " mod " or " by ").

Definition

Formally, the construction is as follows.[1] Let be a vector space over a field , and let be a subspace of . We define an equivalence relation on by stating that iff . That is, is related to if and only if one can be obtained from the other by adding an element of . This definition implies that any element of is related to the zero vector; more precisely, all the vectors in get mapped into the equivalence class of the zero vector.

The equivalence class – or, in this case, the coset – of is defined as

and is often denoted using the shorthand .

The quotient space is then defined as , the set of all equivalence classes induced by on . Scalar multiplication and addition are defined on the equivalence classes by[2][3]

  • for all , and
  • .

It is not hard to check that these operations are

representatives
). These operations turn the quotient space into a vector space over with being the zero class, .

The mapping that associates to the equivalence class is known as the quotient map.

Alternatively phrased, the quotient space is the set of all affine subsets of which are parallel to .[4]

Examples

Lines in Cartesian Plane

Let X = R2 be the standard

plane
which only intersects the line at the origin.)

Subspaces of Cartesian Space

Another example is the quotient of Rn by the subspace spanned by the first m

isomorphic
to Rnm in an obvious manner.

Polynomial Vector Space

Let be the vector space of all cubic polynomials over the real numbers. Then 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,

then the quotient space V/U is naturally isomorphic to W.[5]

Lebesgue Integrals

An important example of a functional quotient space is an Lp space.

Properties

There is a natural

short exact sequence

If U is a subspace of V, the

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:[6][7]

Let T : VW be a

first isomorphism theorem for vector spaces says that the quotient space V/ker(T) is isomorphic to the image 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 : VW is defined to be the quotient space W/im(T).

Quotient of a Banach space by a subspace

If X is a Banach space 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

Examples

Let C[0,1] denote the Banach space of

sup norm
. Denote the subspace of all functions fC[0,1] with f(0) = 0 by M. Then the equivalence class of some function g is determined by its value at 0, and the quotient space C[0,1]/M 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.[8] Indeed, suppose that X is locally convex so that the topology on X is generated by a family of seminorms
{pα | α ∈ A} where A is an index set. Let M be a closed subspace, and define seminorms qα on X/M by

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.[9]

See also

References

  1. ^ Halmos (1974) pp. 33-34 §§ 21-22
  2. ^ Katznelson & Katznelson (2008) p. 9 § 1.2.4
  3. ^ Roman (2005) p. 75-76, ch. 3
  4. ^ Axler (2015) p. 95, § 3.83
  5. ^ Halmos (1974) p. 34, § 22, Theorem 1
  6. ^ Axler (2015) p. 97, § 3.89
  7. ^ Halmos (1974) p. 34, § 22, Theorem 2
  8. ^ Dieudonné (1976) p. 65, § 12.14.8
  9. ^ Dieudonné (1976) p. 54, § 12.11.3

Sources

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