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 SubspacesAre and two subspaces vectorial of the vector space E . It is said that and are all in all direct if and only so for any element U of , there exists a single couple of such as .
One as says in this case as the sum is direct.
In other words, the sum of two vectorial subspaces and is direct if the decomposition of any element of all in all of an element of and an element of is single.
The sum will then be noted: .
One has the following usual characterizations:
- and is all in all direct if and only if, for all of and of ,
- and is all in all direct if and only if
Case of finished dimension : when and are of finished size, the following assertions are equivalent:
- the sum is direct.
- .
- By juxtaposing (" réunissant") a base of and a base of , one constitutes a base of .
additional Subspaces : two subspaces and of E are known as additional when . That means that for any element U of E , there exists a single couple of such as .
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 of vectorial subspaces of E is all in all direct if and only if, for any element U of the sum , there exists a K - uplet single of such as .
One as says in this case as the sum F of the subspaces is direct.
In other words, the sum is direct if the decomposition of any element of all in all of elements of the is single.
To indicate a direct sum, one makes use of the notations or .
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 is direct if and only if:
- single the K - uplet of such as 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 , i.e.:
- for all I and all J , I different of J .
One will be convinced some by looking in the vectorial subspaces:
-
- .
Indeed, the 3 vectors belongs respectively to ; they are nonnull, and such as : the decomposition of the null vector is not single.
On the other hand, it is shown that the subspaces of the family of the are all in all direct in if and only if:
When the vectorial subspaces are of finished size, there is still the equivalence of the following assertions:
- the are all in all direct.
- .
- By juxtaposing a base of ,…, a base of , 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 . One indicates by the identical endomorphism of E .
For entire I such as 1 ≤ I ≤ p, is the clean subspace of F associated with the eigenvalue .
The two following properties are traditional:
- the sum is direct.
- si and only if F is diagonalisable.
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 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 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:
- the are all in all direct orthogonal.
- By juxtaposing an orthogonal base of ,…, an orthogonal base of , one constitutes an orthogonal base of the sum.
External direct sum and Cartesian product
When two subspaces , of a vector space E are all in all direct, the following application is bijective:There exists in this case a single structure of vector space on the Cartesian product such as this application is an isomorphism of vector spaces; the internal law and the external law are respectively defined by the relations:
- and ,
- where , is in , , is in , and is in .
This encourages, if and are two unspecified vector spaces on the same body , to then define their sum direct, known as external .
External direct sum of two K - vector spaces
The external direct sum of two -espaces vectorial and is the Cartesian product on which one defines- an addition:
- an external multiplication by the elements of :
Consequently, and are two subspaces of , respectively isomorphs with and (one has " plongé" , in the Cartesian product); the relation justifies the name of external direct sum .
When and are of finished size, it is the same of their external direct sum, and:
-
- (because is direct sum of the two subspaces and , which has even dimension that , respectively).
External direct sum of several K - vector spaces
One defines in the same way the external direct sum of K vector spaces on the same body .When are of finished size, it is the same of their external direct sum, and:
- .
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 and are two rings, one defines on two laws of composition internal:
- an addition:
- a multiplication:
Provided with these two laws of composition, the unit is a ring. It will be noted that even if and are just, their Cartesian product is not it: , being two nonnull elements of , respectively, one a: .
Internal bonds
Category: linear algebra
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