Direct sum

In Algebra, the term of direct sum applies to several different situations

Direct sum of vectorial subspaces

Direct sum of two vectorial subspaces

detailed Article: additional Subspaces

Are F_1 and F_2 two subspaces vectorial of the vector space E . It is said that F_1 and F_2 are all in all direct if and only so for any element U of F_1 + F_2, there exists a single couple \ (u_1; u_2) of F_1 \ times F_2 such as u = u_1 + u_2.

One as says in this case as the sum F_1 + F_2 is direct.

In other words, the sum of two vectorial subspaces F_1 and F_2 is direct if the decomposition of any element of F_1 + F_2 all in all of an element of F_1 and an element of F_2 is single.

The sum will then be noted: F_1 \oplus F_2.

One has the following usual characterizations:

  • F_1 and F_2 is all in all direct if and only if, for all u_1 of F_1 and u_2 of F_2,
u_1 + u_2 = 0 \ Leftrightarrow u_1 = u_2 = 0
  • F_1 and F_2 is all in all direct if and only if
F_1 \ course F_2 = \ {0 \}

Case of finished dimension : when F_1 and F_2 are of finished size, the following assertions are equivalent:

  1. the sum F_1 + F_2 is direct.
  2. \ dim F_1 + \ dim F_2 = \ dim (F_1 + F_2) .
  3. By juxtaposing (" réunissant") a base of F_1 and a base of F_2, one constitutes a base of F_1 + F_2.

additional Subspaces : two subspaces F_1 and F_2 of E are known as additional when E = F_1 \ oplus F_2. That means that for any element U of E , there exists a single couple \ (u_1; u_2) of F_1 \ times F_2 such as \ U = u_1 + u_2.

Direct sum several vectorial subspaces

One can generalize the concept of direct sum to a finished family of vectorial subspaces of E .

It is said that a family (F_i) _ {i=1 \ cdots K} of vectorial subspaces of E is all in all direct if and only if, for any element U of the sum F = \ sum_ {i=1} ^k F_i, there exists a K - uplet single (u_1; u_2; \ cdots; u_k) of F_1 \ times F_2 \ times \ cdots \ times F_k such as u = \ sum_ {i=1} ^k u_i.

One as says in this case as the sum F of the subspaces (F_i) _ {i=1 \ cdots K} is direct.

In other words, the sum is direct if the decomposition of any element of F = \ sum_ {i=1} ^k F_i all in all of elements of the F_i \, is single.

To indicate a direct sum, one makes use of the notations F_1 \ oplus F_2 \ oplus \ cdots \ oplus F_k or \ bigoplus_ {I = 1} ^kF_i.

As in the case of 2 vectorial subspaces, one can characterize the direct sums by the unicity of the decomposition of the null vector:

the sum F = \ sum_ {i=1} ^k F_i is direct if and only if:
single the K - uplet (u_1; u_2; \ cdots; u_k) of F_1 \ times F_2 \ times \ cdots \ times F_k such as \ sum_ {i=1} ^k u_i = 0 is that of which all the elements are null.

Remark : as soon as the family includes/understands at least 3 subspaces, it is not enough so that the sum is direct that their intersections two to two are reduced to \ \ {0 \} , i.e.:

F_i \ course F_j = \ {0 \} for all I and all J , I different of J .

One will be convinced some by looking in \ R^2 the vectorial subspaces:

F_1= \ {(X; 0), X \ in \ R \}
F_2= \ {(there; there), there \ in \ R \}
F_3= \ {(0; T), T \ in \ R \} .
Their intersections two to two are reduced to {(0; 0)}, but their amount \ F = F_ 1 + F_2 + F_3 (equal to \ \ R^2) is not direct.

Indeed, the 3 vectors u_1= (1; 0), \, u_2= (- 1; -1), \, u_3= (0; 1) belongs respectively to F_1, \, F_2, \, F_3; they are nonnull, and such as \ u_1 + u_2 + u_3= (0; 0) : the decomposition of the null vector is not single.

On the other hand, it is shown that the subspaces of the family of the \ (F_ {I}) _ {1 \ geq I \ geq N} are all in all direct in \ E if and only if:

  • \ \ sum_ {i=1} ^n F_i = E
  • \ \ forall K \ in \ left \ {1,…, n-1 \ right \}, \ \ left (\ sum_ {i=1} ^ {K} F_ {I} \ right) \ course F_ {k+1} = \ left \ {0_ {E} \ right \}

When the vectorial subspaces are of finished size, there is still the equivalence of the following assertions:

  1. the (F_i) _ {i=1 \ cdots K} are all in all direct.
  2. \ sum_ {i=1} ^k \ dim F_i = \ dim \ left (\ sum_ {i=1} ^k F_i \ right) .
  3. By juxtaposing a base \ \ mathcal {B} _1 of \ F_1,…, a base \ \ mathcal {B} _k of \ F_k, one constitutes a base of the sum.

Example: are E a vector space on K of finished size, and F a endomorphism of E having exactly p eigenvalues (distinct) called \ lambda_1, \, \ dowries, \, \ lambda_p. One indicates by \ \ mathrm {Id} the identical endomorphism of E .

For entire I such as 1 ≤ I ≤ p, E_i = \ mathrm {ker} (F - \ lambda_i \, \ mathrm {Id}) is the clean subspace of F associated with the eigenvalue \ \ lambda_i.
The two following properties are traditional:

  • the sum \ sum_ {i=1} ^p E_i is direct.
  • \ bigoplus_ {I = 1} ^p E_i = Esi and only if F is diagonalisable.
When it is the case, one constitutes a base \ \ mathcal {B} of E diagonalisant F by juxtaposing a base \ \ mathcal {B} _1 of \ E_1,…, a base \ \ mathcal {B} _p of \ E_p.

Orthogonal direct sum

One indicates here by E a space préhilbertien real or complex (real or complex vector space provided with a scalar product). That is to say a family (F_i) _ {i=1 \ cdots K} of vectorial subspaces of E . If they are two to two orthogonal, their amount is direct. It is then called orthogonal direct sum .

A very simple example is the space F^ \ perp made up of the orthogonal vectors to all the vectors of a vectorial subspace F : it is all in all direct with F .

Two spaces which are at the same time additional and orthogonal are known as additional orthogonal . A vectorial subspace F of E, even if it has the additional ones, does not have of them necessarily one which is orthogonal for him. Sufficient conditions are that space E is of finished size or that space F is closed (proof). This question is related to the possibility of carrying out a orthogonal Projection.

When the vectorial subspaces are of finished size, one with the equivalence of the following assertions:

  1. the (F_i) _ {i=1 \ cdots K} are all in all direct orthogonal.
  2. By juxtaposing an orthogonal base \ \ mathcal {B} _1 of \ F_1,…, an orthogonal base \ \ mathcal {B} _k of \ F_k, one constitutes an orthogonal base of the sum.

External direct sum and Cartesian product

When two subspaces F_1, F_2 of a vector space E are all in all direct, the following application is bijective:
F_1 \ times F_2 \ to F_1 \ oplus F_2, (u_1; u_2) \ mapsto u_1 + u_2

There exists in this case a single structure of vector space on the Cartesian product F_1 \ times F_2 such as this application is an isomorphism of vector spaces; the internal law and the external law are respectively defined by the relations:

\ (u_1; u_2) + (v_1; v_2) = (u_1 + v_1; u_2 + v_2) and \ alpha \, (u_1; u_2) = (\ alpha \, u_1; \ alpha \, u_2) ,
where u_1, v_1 is in F_1, u_2, v_2 is in F_2, and \ alpha is in K.

This encourages, if E_1 and E_2 are two unspecified vector spaces on the same body K, to then define their sum direct, known as external .

External direct sum of two K - vector spaces

The external direct sum of two K-espaces vectorial E_1 and E_2 is the Cartesian product E_1 \ times E_2 on which one defines
  • an addition:
\ (u_1; u_2) + (v_1; v_2) = (u_1 + v_1; u_2 + v_2)
  • an external multiplication by the elements of K:
\ alpha \, (u_1; u_2) = (\ alpha \, u_1; \ alpha \, u_2) (where \ alpha \ in K) Provided with these two laws of composition, the unit E_1 \ times E_2 is a vector space on K.

Consequently, \ tilde {E_1} = E_1 \ times \ {0 \} and \ tilde {E_2} = \ {0 \} \ times E_2 are two subspaces of E_1 \ times E_2, respectively isomorphs with E_1 and E_2 (one has " plongé" E_1, E_2 in the Cartesian product); the relation E_1 \ times E_2 = \ tilde {E_1} \ oplus \ tilde {E_2} justifies the name of external direct sum .

When E_1 and E_2 are of finished size, it is the same of their external direct sum, and:

\ dim (E_1 \ times E_2) = \ dim E_1 + \ dim E_2
(because E_1 \ times E_2 is direct sum of the two subspaces \ tilde {E_1} and \ tilde {E_2} , which has even dimension that \ E_1, \ E_2 respectively).

External direct sum of several K - vector spaces

One defines in the same way the external direct sum \ E_1 \ times \ cdots \ times E_k of K vector spaces E_1, \ dowries, E_k on the same body K.

When E_1, \ dowries, E_k are of finished size, it is the same of their external direct sum, and:

\ dim (E_1 \ times \ cdots \ times E_k) = \ dim E_1 + \ cdots + \ dim E_k.

Notice in connection with other algebraic structures

One defines in a similar way the external direct sum of a finished number of additive groups, or rings, or of has - modules on the same ring has .

For example, if A_1 and A_2 are two rings, one defines on A_1 \ times A_2 two laws of composition internal:

  • an addition:
\ (a_1; a_2) + (b_1; b_2) = (a_1 + b_1; a_2 + b_2)
  • a multiplication:
\ (a_1; a_2) \ cdot (b_1; b_2) = (a_1 b_1; a_2 b_2)

Provided with these two laws of composition, the unit A_1 \ times A_2 is a ring. It will be noted that even if A_1 and A_2 are just, their Cartesian product is not it: a_1, a_2 being two nonnull elements of A_1, A_2 respectively, one a: \ (a_1; 0) \ cdot (0; a_2) = (0; 0) .

Internal bonds

Category: linear algebra

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