Dimension of vector space problem

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The discussion centers on proving that the dimension of the sum of two orthogonal vector subspaces V1 and V2 is the sum of their individual dimensions, n1 and n2. It establishes that V1 is spanned by n1 mutually orthogonal vectors, while V2 is spanned by n2 mutually orthogonal vectors, ensuring that all vectors from V1 are orthogonal to those in V2. The argument is structured around demonstrating that the combined set of basis vectors from both subspaces is linearly independent and spans the resultant space. The conclusion drawn is that the dimension of the combined space V1 + V2 is indeed n1 + n2, confirming the initial claim. The reasoning is validated by showing that adding any extra vector would lead to linear dependence.
neelakash
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Homework Statement



Suppose V1 (dim. n1) and V29dim. n2) are two vector subspaces such that any element in V1 is orthogonal to any element in V2.Show that the dimensionality of V1+V2 is n1+n2

Homework Equations


The Attempt at a Solution



The subspace V1 is spanned by n1 linearly indipendent (mutually orthogonal) vectors.

The subspace V2 is spanned by n2 linearly indipendent (mutually orthogonal) vectors.

Also, the space V1+V2 is spanned by (n1+n2) mutuallyorthogonal vectors.Since, any element in V1 is perpendicular to any element in V2.Thus,the space will be spanned by (n1+n2) linearly independent vectors.

Clearly, the dimension will be n1+n2.

Please tell me if there is a fault in my argument.
 
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Let \mathcal{B}_1 be the basis for V_1 and \mathcal{B}_2 the basis for V_2

Oops - I hit post when I meant to hit preview.

1. Show that the set \mathcal{B} = \mathcal{B}_1 \cup \mathcal{B}_2 is linearly independent (since you can assume that all basis vectors in the original two basis sets are orthonormal, this should be rather easy). Note that \mathcal{B} contains exactly n_1 + n_2 vectors
2. Pick an arbitrary \vec{y} \in V_1 + V_2 and show that \vec{y} can be written as a linear combination of vectors in \mathcal{B} (this should be easy too)
3. Show that if you have any set of n_1 + n_2 + 1 vectors in V_1 + V_2 they must be linearly dependent .

Step 1 shows the obvious set to be linearly independent
Step 2 shows that the set spans V_1 + V_2
Step 3 shows that the set is a maximally independent set of vectors, and these 3 results taken together get you to your answer.
 
neelakash said:

Homework Statement



Suppose V1 (dim. n1) and V29dim. n2) are two vector subspaces such that any element in V1 is orthogonal to any element in V2.Show that the dimensionality of V1+V2 is n1+n2

Homework Equations


The Attempt at a Solution



The subspace V1 is spanned by n1 linearly indipendent (mutually orthogonal) vectors.

The subspace V2 is spanned by n2 linearly indipendent (mutually orthogonal) vectors.

Also, the space V1+V2 is spanned by (n1+n2) mutuallyorthogonal vectors.

Since, any element in V1 is perpendicular to any element in V2.
This is not a sentence!

Thus,the space will be spanned by (n1+n2) linearly independent vectors.
You need to explain (perhaps by completing the sentence fragment) how you know that all n1+ n2 vectors are linearly independent. Yes, you can choose the n1 vectors in V1 to be mutually orthogonal. Yes, you can choose the n2 vectors in V2 to be mutually orthogonal. Now you need to state clearly that all n1 vectors in the basis for V1 are orthogonal to all the n2 vectors in the basis for V2 because of the condition "any element in V1 is orthogonal to any element in V2".

Clearly, the dimension will be n1+n2.

Please tell me if there is a fault in my argument.
 
Let me formulate the problem this way:

Vector space \ V_1 contains \ n_1 linearly indipendent vectors.Hence the basis set is:

\ B_1 = {|\ u_1>,|\ u_2>, |\ u_3>...|\ u_i>,...|\ u_k>,...|\ u_n1>}

Similarly,vector space \ V_2 contains \ n_2 linearly indipendent vectors. Hence, the basis set is:

\ B_2 = {|\ v_1>,|\ v_2>, |\ v_3>...|\ v_p>,...|\ v_r>,...|\ v_n2>}

Given:
<\ u_i|\ u_k>=0......A [for all i,j,k in the set [1,2,...,n1]]

<\ v_p|\ v_r>=0......B [for all p,q,r in the set [1,2,...,n2]]

Additionally, <\ u_i|\ v_p>=0...C [for all i,j,k,...p,q,r]

Let us consider the set:

\ B'={|\ u_1>,|\ u_2>,...|\ u_n1,|\ v_1>,|\ v_2>,...|\ v_n2>}

containing \ n_1+\ n_2 linearly indipendent vectors.

The basis set \ B for the vector space \ Vwill be a subset of this.The number of elements in the set \ B will be less than or equal to \ n_1+\ n_2 depending on whether all the \ n_1 vectors in \ B_1 are orthogonal to all \ n_2 vectors in \ B_2.

Since,we have C satisfied by all \ u_i and \ v_p,

\ B=\ B_1 \ U \ B_2 has all distinct elements because of A,B and C.So, there are total \ n_1+\ n_2 elements.All of them are linearly indipendent of each other. And they are therefore, a good choice of basis of the vector space V.

Hence, the vector space V is spanned by \ n_1+\ n_2 vectors.No more,no less.Insertion of any non-trivial extra element in \ B' will result in \ n_1+\n_2+\1 vectors and the set of vectors will be lineraly dependent.

With our choice, \ B=\ B'.Any vector in vector space V can be written as a linear combination of those \ n_1+\ n_2 vectors in \ B.So, the dimension of the vector space \ V will be \ n_1+\ n_2
 
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