1550078481-Ordinary_Differential_Equations__Roberts_

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348 Ordinary Differential Equations


In exercises 17-28 compute the determinant of the given matrix.


  1. A= (4) 18. B = (-4) 19.
    (~ -D

  2. (V2
    J3 D


21. (1 ~ i - i )

l+i


  1. e-A 1 )


3 4-A



  1. ( sin x cosx) 24. ( e3x e-x )
    cosx -sinx^3 e3x -e-x
    u


1



  1. (^4) -D
    0




  2. G =~ D (




x x2 x3)
27. 1 2x 3x^2
0 2 6x

(-A

4


  1. 3 -2-A ,_f)
    -1 0

  2. Let A be any square matrix of size n x n and let I be the same size
    identity matrix. Does (A+AI)^2 = A^2 +2AA+A^2 I , where A^2 =AA and


A is any scalar? (HINT: Consider the distributive law for (A+ AI)^2 =

(A+AI)(A+AI) and then the commutative law for scalar multiplication
and multiplication of a matrix by the identity matrix. If you think the
result is not true, give an example which shows equality does not always
hold.)


  1. Let A and B be any two square matrices of the same size. Does
    (A+ B)^2 = A^2 + 2AB + B^2? (HINT: Consider the distributive law


for (A+ B)^2 = (A+ B)(A + B) and the commutativity of AB.)


  1. If x 1 and x2 are both solutions of Ax = 0 (that is, if Ax 1 = 0 and
    Ax2 = 0 ), show that y = c1x 1 + c2x 2 is a solution of Ax= 0 for every
    choice of the scalars c1 and c2.

  2. If x 1 is a solution of Ax = 0 and x 2 is a solution of Ax = b show that
    y = cx1 + x2 is a solution of Ax = b for every choice of the scalar c.


In exercises 33-36 determine whether the given set of vectors is

linearly independent or linearly dependent.


  1. { (-~)' (-~)} 34. { G), G)}

  2. { U). m. G)} 36 { ( -D. (-D. m }

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