(10.1)
(i) is FALSE because size does not matter here we can take a single vector m times.
(ii) TRUE
because dim(V)=n that means a linearly independent set can have maximum n elements (vectors).
(iii) FALSE
for dependent we need one such i i may not be hold for all i
(iv) FALSE
If we take m<n then it cannot be basis for V.
(10.2)
(i) TRUE
This is the definition of V no need to be surjective it always holds.
(ii) TRUE
Because T is injective which implies both V and W have same dimensions so V0 and W0
(iii) TRUE
I tried to find example to make it false but couldn't you should try atleast once.
(10.3)
(i) FALSE
Not even a subset how can be talk about subspace.
(ii) TRUE
if not basis then either A is not Invertible or given set is not independent.
(iii) FALSE
As dim (R^2)=2 so any set having more than two vectors will necessarily be linearly Dependent.
Q10 10 Points Please answer the below questions. Q10.1 4 Points Let m, n EN\{1}, V...
Let m, n EN\{1}, V be a vector space over R of dimension n and (v1, ..., Vm) be an m tuple of V. (Select ALL that are TRUE) If m > n then (v1, ..., Vm) spans V. If (v1, ..., Um) is linearly independent then m <n. (v1, ..., Um) is linearly dependent if and only if for all i = 1,..., m we have that U; Espan(vi, .., Vi-1, Vj+1, ..., Um). Assume there exists exactly one...
Q10.2 3 Points Let V and W be finite dimensional vector spaces over R and T:V + W be linear. Let Vo be a subspace of V and Wo = T(V). (Select ALL that are TRUE) If T is surjective then Vo = {v E V: there is w E Wo such that T(v) = w}. If T is injective then dim(V.) = dim(Wo). dim(ker(T) n ) = dim(V.) - dim(Wo). Save Answer
(Select ALL that are TRUE) R2 is a subspace of R3. Let (v1, ..., Un) be a basis for R" and A € Mnxn(R) be invertible. Then (Av1, ..., Avn) is a basis for R". Let (v, w, u) be a tuple in Rº. Then (v +w,v+u, u +w) is linearly independent.
Let V and W be finite dimensional vector spaces over R and T:V + W be linear. Let V be a subspace of V and Wo = T(V). (Select ALL that are TRUE) If T is surjective then Vo = {v EV : there is w E Wo such that T(v) = w} If T is injective then dim(VO) = dim(W). dim(ker(T) n Vo) = dim(VO) - dim(Wo).
(a) (5 points.) Let W CW CW CW3 be distinct subspaces of R? True/False (Justify your answers): (i) Wo must be the zero subspace. (ii) W, must be R. (iii) W, must be RP. (iv) Suppose V1, V2, V3 are vectors such that vi EWW -for each 1 <i<3. Then {V1, V2, V3} must be a basis for R. (v) There are three linearly independent vectors in R that do not form a basis for R?
1. (10 points) Suppose that U and W are subspaces of a vector space V such that vi,, , ,tk İs a basis of U and wi,. . . , wn, V1, . , Uk is a basis of W. m, W1,.. ., Wn,v],.. . ,vk is a basis of U +W, and deduce that dim(U+W)- Show that u1,. .. , w1, dim(U) + dim(W) - dim(Unw).
Please give answer with the details. Thanks a lot! Let T: V-W be a linear transformation between vector spaces V and W (1) Prove that if T is injective (one-to-one) and {vi,.. ., vm) is a linearly independent subset of V the n {T(6),…,T(ền)} is a linearly independent subset of W (2) Prove that if the image of any linearly independent subset of V is linearly independent then Tis injective. (3) Suppose that {b1,... bkbk+1,. . . ,b,) is a...
Problem 3. Let V and W be vector spaces, let T : V -> W be a linear transformation, and suppose U is a subspace of W (a) Recall that the inverse image of U under T is the set T-1 U] := {VE V : T(v) E U). Prove that T-[U] is a subspace of V (b) Show that U nim(T) is a subspace of W, and then without using the Rank-Nullity Theorem, prove that dim(T-1[U]) = dim(Unin (T))...
(12 points) Let vi = 1 and let W be the subspace of R* spanned by V, and v. (a) Convert (V. 2) into an ohonormal basis of W NOTE: If your answer involves square roots, leave them unevaluated. Basis = { (b) Find the projection of b = onto W (c) Find two linearly independent vectors in R* perpendicular to W. Vectors = 1
For the rest of this problem, let V be a subspace of R" and let T: R + R" be an orthogonal transformation such that T[V] = V1. (b) Prove that n is even and that dim V = dimV+ = (c) Prove that T[v+] = V. (d) Prove that there is a basis B of R" such that the B-matrix of T has block form (T) = [% ] where Qi and Q2 are orthogonal matrices,