Question

Let V be an n-dimensional vector space. Let W and W2 be unequal subspaces of V,...

Let V be an n-dimensional vector space. Let W and W2 be unequal subspaces of V, each of dimension n - 1. Prove that V =W1 + W2 and dim(Win W2) = n - 2.

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Let U and W be subspaces of a nite dimensional vector space V such that U...
Let U and W be subspaces of a nite dimensional vector space V such that U ∩ W = {~0}. Dene their sum U + W := {u + w | u ∈ U, w ∈ W}. (1) Prove that U + W is a subspace of V . (2) Let U = {u1, . . . , ur} and W = {w1, . . . , ws} be bases of U and W respectively. Prove that U ∪ W...
Let V be an n-dimensional vector space and W a vector space that is isomorphic to...
Let V be an n-dimensional vector space and W a vector space that is isomorphic to V. Prove that W is also n-dimensional. Give a clear, detailed, step-by-step argument using the definitions of "dimension" and "isomorphic" the Definiton of isomorphic:  Let V be an n-dimensional vector space and W a vector space that is isomorphic to V. Prove that W is also n-dimensional. Give a clear, detailed, step-by-step argument using the definitions of "dimension" and "isomorphic" The Definition of dimenion: the...
Suppose V and W are two vector spaces. We can make the set V × W...
Suppose V and W are two vector spaces. We can make the set V × W = {(α, β)|α ∈ V,β ∈ W} into a vector space as follows: (α1,β1)+(α2,β2)=(α1 + α2,β1 + β2) c(α1,β1)=(cα1, cβ1) You can assume the axioms of a vector space hold for V × W (A) If V and W are finite dimensional, what is the dimension of V × W? Prove your answer. Now suppose W1 and W2 are two subspaces of V ....
3. Let V and W be finite-dimensional vector spaces over field F with dim(V) = n...
3. Let V and W be finite-dimensional vector spaces over field F with dim(V) = n and dim(W) = m, and let φ : V → W be a linear transformation. Fill in the six blanks to give bounds on the sizes of the dimension of ker(φ) and the dimension of im(φ). 3. Let V and W be finite-dimensional vector spaces over field F with dim(V ) = n and dim(W) = m, and let φ : V → W...
Let U and W be subspaces of a finite dimensional vector space V such that V=U⊕W....
Let U and W be subspaces of a finite dimensional vector space V such that V=U⊕W. For any x∈V write x=u+w where u∈U and w∈W. Let R:U→U and S:W→W be linear transformations and define T:V→V by Tx=Ru+Sw . Show that detT=detRdetS .
Let V be a vector space and let v1,v2,...,vn be elements of V . Let W...
Let V be a vector space and let v1,v2,...,vn be elements of V . Let W = span(v1,...,vn). Assume v ∈ V and ˆ v ∈ V but v / ∈ W and ˆ v / ∈ W. Define W1 = span(v1,...,vn,v) and W2 = span(v1,...,vn, ˆ v). Prove that either W1 = W2 or W1 ∩W2 = W.
Suppose V is a vector space over F, dim V = n, let T be a...
Suppose V is a vector space over F, dim V = n, let T be a linear transformation on V. 1. If T has an irreducible characterisctic polynomial over F, prove that {0} and V are the only T-invariant subspaces of V. 2. If the characteristic polynomial of T = g(t) h(t) for some polynomials g(t) and h(t) of degree < n , prove that V has a T-invariant subspace W such that 0 < dim W < n
Let V be a finite-dimensional vector space and let T be a linear map in L(V,...
Let V be a finite-dimensional vector space and let T be a linear map in L(V, V ). Suppose that dim(range(T 2 )) = dim(range(T)). Prove that the range and null space of T have only the zero vector in common
Let U and V be subspaces of the vector space W . Recall that U ∩...
Let U and V be subspaces of the vector space W . Recall that U ∩ V is the set of all vectors ⃗v in W that are in both of U or V , and that U ∪ V is the set of all vectors ⃗v in W that are in at least one of U or V i: Prove: U ∩V is a subspace of W. ii: Consider the statement: “U ∪ V is a subspace of W...
Let V and W be finite-dimensional vector spaces over F, and let φ : V →...
Let V and W be finite-dimensional vector spaces over F, and let φ : V → W be a linear transformation. Let dim(ker(φ)) = k, dim(V ) = n, and 0 < k < n. A basis of ker(φ), {v1, . . . , vk}, can be extended to a basis of V , {v1, . . . , vk, vk+1, . . . , vn}, for some vectors vk+1, . . . , vn ∈ V . Prove that...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT