7.3 (Eigenvalues II) Let V be a vector space over K and let f,g E End(V)....
Let V be a vector space, let S, T L(V), and assume that ST = TS. Prove that if ˇ V is an eigenvector for T with eigenvalue λ, then λ is also an eigenvalue for S Find an eigenvector for λ with respect to S, and prove your answer is correct. Let V be a vector space, let S, T L(V), and assume that ST = TS. Prove that if ˇ V is an eigenvector for T with eigenvalue...
Let V be a vector space over a field F, and let U and W be finite dimensional subspaces of V. Consider the four subspaces X1 = U, X2 = W, X3 = U+W, X4 = UnW. Determine if dim X; <dim X, or dim X, dim X, or neither, must hold for every choice of i, j = 1,2,3,4. Prove your answers.
Exercise 4.5.3. Let G-(g g 1 be a group of order 2 and V a CG-module of Let u +202 +2,u2 2v1 - 2 +2vs,u vector space spanned by ui, for i-1,2,3 2v - 202 +vs, and hence U the (i) Prove that U is a CG-submodule of V fori 1,2,3, and that (ii) Let λ C and u-ul + U2 + λν3 V. Find the value(s) of λ for which the subspace U spanned by u is a CG-submodule...
Let v 2 Rn be a unit vector. Define G = I ? vvT . (a) Show G is symmetric and G2 = G. (b) Prove v is an eigenvector, find the associated eigenvalue. (c) Prove that if < u; v >= 0 then u is also an eigenvector of G. (d) Prove that G is diagonalizable. Let v ER" be a unit vector. Define G=I - vt. (a) Show G is symmetric and G =G. (b) Prove v is...
7.3.1 Let U be a finite-dimensional vector space over a field F and T є L(U). Assume that λ0 E F is an eigenvalue of T and consider the eigenspace Eo N(T-/) associated with o. Let. uk] be a basis of Evo and extend it to obtain a basis of U, say B = {"l, . . . , uk, ul, . . . ,叨. Show that, using the matrix representation of T with respect to the basis B, the...
(3) Let V denote a vector space over the field F and let v,..., Un E V. (a) Show that span(vn, 2,. , Un) (b) Show that span (ui , U2 , . . . , vn) span(v)+ +span(vn). span(v1)@span(v2)㊥·..㊥8pan(vn) if and only if (vi , . , . , %) is linearly independent.
1. Let V be a vector space with bases B and C. Suppose that T:V V is a linear map with matrix representations Ms(T)A and Me(T) B. Prove the following (a) T is one-to-one iff A is one-to-one. (b) λ is an eigenvalue of T iff λ is an eigenvalue of B. Consequently, A and B have the same eigenvalues (c) There exists an invertible matrix V such that A-V-BV 1. Let V be a vector space with bases B...
True False a) For nxn A, A and AT can have different eigenvalues. b) The vector v 0 cannot be an eigenvector of A. c) If λ's an eigenvalue of A, then λ2 is an eigenvalue of A2. True False d) If A is invertible, then A is diagonalizable. e) If nxn A is singular, then Null(A) is an eigenspace of A. f) For nxn A, the product of the eigenvalues is the trace of A. True False g) If...
. Let V be a vector space and S a set. Let V$ = {f S V} on VS by be the set of all functions from S to V. Define addition and scalar multiplication (fg)(s) f(s) + g(s) and (af)(s) = af(s) for all a F, f,gE V, and s E S. Show that VS is a vector space
Prob 4. Let V be a finite-dimensional real vector space and let T є C(V). Define f : R R by f(A) :- dim range (T-λΓ Which condition on T is equivalent to f being a continuous function? Prob 4. Let V be a finite-dimensional real vector space and let T є C(V). Define f : R R by f(A) :- dim range (T-λΓ Which condition on T is equivalent to f being a continuous function?