Let ? be a finite-dimensional vector space, ? its dual space and ? a subspace of .
Let be a subspace of and defined as follows:
Prove that
1)
2)
Let ? be a finite-dimensional vector space, ? its dual space and ? a subspace of...
Prob 4· Let V be a finite-dimensional vector space and let U be its proper subspace (i.e., UメV). Prove that there exists ф є V, 0 for all u є U but ф 0. such that p(u)
Problem #6. Let V be a finite dimensional vector space over a field F. Let W be a subspace of V. Define A(W) e Vw)Vw E W). Prove that A(W) is a subspace of (V).
Question 1. Let V be a finite dimensional vector space over a field F and let W be a subspace of Prove that the quotient space V/W is finite dimensional and dimr(V/IV) = dimF(V) _ dimF(W). Hint l. Start with a basis A = {wi, . . . , w,n} for W and extend it to a basis B = {wi , . . . , wm, V1 , . . . , va) for V. Hint 2. Our goal...
Q-) Let F be an object ond V is a finite dimensional vector Space on the object. . that if v is linear trons formation, ronkt is zero a) Show or 1. b) If Liv> v is linear tronsformation, show that ker L c ker L² and L(v) 2 L² (v). ( Note : L²=LoL and ker L, be defined as subspace of L.).
Let V be a finite-dimensional vector space over F. For every subset SCV, define Sº = {f EV* | f(s) = 0 Vs E S}. (a) Prove that sº is a subspace of V* (S may not be a subspace!) (b) If W is a subspace of V and x € W, prove that there exists an fe Wº with f(x) + 0. (c) If v inV, define û :V* + F by ū(f) = f(u). (This is linear and...
just part c,d, and e please!! Let V be a finite-dimensional vector space over F. For every subset SCV, define Sº = {f eV" f(s) = 0 Vs ES}. (a) Prove that sº is a subspace of V* (S may not be a subspace!) (b) If W is a subspace of V and r & W, prove that there exists an few with f(x) +0. (c) If v inV, define u:V* → F by 0(f) = f(v). (This is linear...
Let W be a subspace of an n-dimensional vector space V over C, and let T:V V be a linear transformation. Prove that W is invariant under T if and only if W is invariant under T- I for any i EC.
Let (X, 11. I be a normed vector space and let E C X be an n-dimensional subspace. (a) Prove that E is complete. (b) Prove that E is closed. (c) Prove that dim E* = n, where E* is the algebraic dual of E (the space of all linear functionals on E).
Problem 4. Give an example of a linear operator T on a finite-dimensional vector space such that T is not nilpotent, but zero is the only eigenvalue of T. Characterize all such operators. Problem 5. Let A be an n × n matrix whose characteristic polynomial splits, γ be a cycle of generalized eigenvectors corresponding to an eigenvalue λ, and W be the subspace spanned by γ. Define γ′ to be the ordered set obtained from γ by reversing the...
Vectors pure and applied Exercise 5.7.13 Let U be a finite dimensional vector space over F and let a, B: UU he linear. State and prove necessary andsufficient conditions involving α(U) and β(U) for the existence ofa linear map γ : U-+ U with α γ β. When is γ unique and Explain how this links with the necessary and sufficient condition of Exercise 5.7.1 Generalise the result of this question and its parallel in Exercise 5.7.1 to the case...