Solution:
is linearly independent.
Also,
is
a basis for
.
APM 346 (Summer 2019), Homework 1. 5. Consider the two-dimensional vector space of functions on the interval [0, 1 V = {a sin mz + bcos π.rla, b e R). (a) Prove that B is a basis for V. (Hint: Wr...
5. Consider a vector space V = {00 + 0 + ar? + 13. 1 40,, 02, 03 € R} and a linear map D:V+V. P(1) - P(1) (a) Write down the matrix representation L of the linear map D under the basis B, = (b) Consider the new basis B2 = 31.5 +5.368.479 10 Find the matrix transformation T such that B, BT. (c) Let L, be the matrix representation of D under the new basis B. Prove L2...
Prove the following: (a) Let V be a vector space of dimension 3 and let {v,U2,U3} be a basis for V. Show that u2, u2 -2+s and uvi also form a basis for V (b) Show that1-,1-2,1-- 2 is a basis for P2[r], the set of all degree 2 or less polynomial functions. (c) Show that if A is invertible, then det A (Note: Show it for any det A-1 square matrix, showing it for a 2 x 2 matrix...
Let V be the vector space consisting of all functions f: R + R satisfying f(x) = a exp(x) +b cos(x) + csin(x) for some real numbers a, b, and c. (The function exp refers to the exponential, exp(22) = e.) Let F be the basis (exp cos sin of V. Let T :V + V be the linear transformation T(f) = f + f' + 2f" (where f' is the derivative of f). You may use the linearity of...
(5) Prove or give a countcrcxample: If A, B E Cnx"are sclf-adjoint, then AB is also self-adjoint. (6) Let V be a finitc-dimensional inner product space over C, and suppose that T E C(V) has the property that T*--T (such a map is called a skew Hermitian operator (a) Show that the operator iT E (V) is self-adjoint (i.c. Hermitian) (b) Prove that T has purely imaginary eigenvalues (i.e. λ ίμ for μ E R). (c) Prove that T has...
Problem 4. Let V be the vector space of all infinitely differentiable functions f: [0, ] -» R, equipped with the inner product f(t)g(t)d (f,g) = (a) Let UC V be the subspace spanned by B = (sinr, cos x, 1) (you may assume without proof that B is linearly independent, and hence a basis for U). Find the B-matrix [D]93 of the "derivative linear transformation" D : U -> U given by D(f) = f'. (b) Let WC V...
Let V be a finite dimensional vector space over R with an inner product 〈x, y〉 ∈ R for x, y ∈ V . (a) (3points) Let λ∈R with λ>0. Show that 〈x,y〉′ = λ〈x,y〉, for x,y ∈ V, (b) (2 points) Let T : V → V be a linear operator, such that 〈T(x),T(y)〉 = 〈x,y〉, for all x,y ∈ V. Show that T is one-to-one. (c) (2 points) Recall that the norm of a vector x ∈ V...
QUESTION 5 Let V denote an arbitrary finite-dimensional vector space with dimension n E N Let B = {bi, bn} and B' = { bị, b, } denote two bases for V and let PB-B, be the transition matrix from B to B' Prove that where 1 V → V is the identity transformation, i e 1(v) v for all v E V Note that I s a linear transformation 14]
QUESTION 5 Let V denote an arbitrary finite-dimensional vector...
s={(8.60) :) :) is a basis of M3x2(R)? (d) (1 point) The set = {(1 9:(. :) : 6 1) (1 1) (1 :) :()} is linearly independent. (e) (1 point) For a linear transformation A:R" + Rd the dimension of the nullspace is larger than d. (f) (1 points) Let AC M4x4 be a diagonal matrix. A is similar to a matrix A which has eigenvalues 1,2,3 with algebraic multiplicities 1,2, 1 and geometric multiplicities 1,1, 1 respectively. 8....