Linear Algebra - Direct Sums [SOLVED]

In summary, the conversation discusses the proof of a statement regarding the direct sums of subspaces in a vector space. The participants agree that if the intersection of the subspaces is empty, then the sum of the subspaces is equal to the direct sum. The last part of the conversation confirms the associativity of direct sums.
  • #1
pezola
11
0
[SOLVED] Linear Algebra - Direct Sums

Homework Statement




Let W1, W2, K1, K2,..., Kp, M1, M2,..., Mq be subspaces of a vector space V such that
W1 = K1 [tex]\oplus[/tex]K2[tex]\oplus[/tex] ... [tex]\oplus[/tex]Kp
and
W2 = M1 [tex]\oplus[/tex]M2 [tex]\oplus[/tex]...[tex]\oplus[/tex]Mq

Prove that if W1 [tex]\cap[/tex]W2 = {0}, then W1 + W2 = W1 [tex]\oplus[/tex]W2 = K1 [tex]\oplus[/tex]K2[tex]\oplus[/tex]...[tex]\oplus[/tex] Kp [tex]\oplus[/tex] M1 [tex]\oplus[/tex]M2 [tex]\oplus[/tex]...[tex]\oplus[/tex]Mq

The Attempt at a Solution



Can we not just say W1 + W2 = W1 [tex]\oplus[/tex]W2 since their intersection is empty?

Then, by the definition of direct sum, the subspaces inside W1 and W2 cannot intersect each other.

Then can we say
W1 [tex]\oplus[/tex]W2 = K1 [tex]\oplus[/tex]K2[tex]\oplus[/tex]...[tex]\oplus[/tex] Kp [tex]\oplus[/tex] M1 [tex]\oplus[/tex]M2 [tex]\oplus[/tex]...[tex]\oplus[/tex]Mq ?
 
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  • #2
I guess the relevance of the question would depend on the definition of direct sum you've seen, but I agree that it is quite trivial. If the intersection of W1 and W2 is trivial, then every element in W1+W2 can be written uniquely as a sum of the form w1+w2 (wi in Wi), and thus the notation [tex]W_1+W_2 =W_1 \oplus W_2[/tex] is justified.

And the last part is just a statement about the associativity of [tex]\oplus[/tex].
 
  • #3
For the record... in the case where [itex]W_1 \cap W_2 \cong \{ 0 \}[/itex],

[tex]W_1 + W_2 \neq W_1 \oplus W_2[/tex]

[tex]W_1 + W_2 \cong W_1 \oplus W_2[/tex]


Also for the record, if [itex]W_1 \cap W_2 = \{ 0 \} [/itex], then their intersection is nonempty. (It contains the element 0)
 

1. What is a direct sum in linear algebra?

A direct sum in linear algebra is a way to combine two or more vector spaces in a way that preserves their individual structures. It is denoted by the symbol ⊕ and is defined as the set of all possible combinations of vectors from each individual vector space.

2. How is a direct sum different from a direct product?

A direct sum is different from a direct product in that it only includes combinations of vectors where all but finitely many of the coordinates are zero. In a direct product, all combinations of vectors are included, even those with infinitely many non-zero coordinates.

3. What are the properties of a direct sum?

Some properties of a direct sum include: it is commutative (A ⊕ B = B ⊕ A), associative ((A ⊕ B) ⊕ C = A ⊕ (B ⊕ C)), and distributive over scalar multiplication (k(A ⊕ B) = kA ⊕ kB). Additionally, the direct sum of two vector spaces is also a vector space.

4. How is a direct sum used in linear algebra?

Direct sums are often used in linear algebra to combine smaller vector spaces into a larger one, to analyze the structure of a vector space, and to solve systems of linear equations. They are also used to study subspaces and their relationships to the larger vector space.

5. Can a direct sum be infinite?

Yes, a direct sum can be infinite. As long as the individual vector spaces being combined are themselves infinite, the direct sum will also be infinite. However, it is important to note that in this case, the direct sum will be an infinite-dimensional vector space.

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