TRUE or FALSE  If v + w is a vector space, then v and w are also in the vector space  The union of 2 lines both passing through the origin correspond to a vector space  A vector space must contain at least 1 vector  A linear map in R^2 that send (x,y) to (y,x) has the matrix from A,

Elementary Linear Algebra (MindTap Course List)
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Author:Ron Larson
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Chapter5: Inner Product Spaces
Section5.CM: Cumulative Review
Problem 5CM: Take this test to review the material in Chapters 4 and 5. After you are finished, check your work...
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TRUE or FALSE 

  1. If v + w is a vector space, then v and w are also in the vector space 
  2. The union of 2 lines both passing through the origin correspond to a vector space 
  3. A vector space must contain at least 1 vector 
  4. A linear map in R^2 that send (x,y) to (y,x) has the matrix from A,

where A[column1 = 0,1], and A[ column2 = 1,0]   

5. A linear map R^3 has the matrix form A, where

A[col = 0, -1 , 0 , A ( col2 = 1,0,0) and A ( col3= 0,0,1) This is a rotation around the

x-axis  

6.  A linear map in R^2 has the matrix form A, where A [ col1 = 0,-1 ] and A[col2 = 1,0] This is a rotation operation 

7. If v is in a vector space, then -v is also in the vector space  

8. The intersection of 2 planes in R^3 corresponds to a vector space 

9. The solution space of a system of linear equations is a vector space 

10. If v is a vector space then v/2 is also in the vector space 

11. A linear map in R^2 that send (x,y) to (-x,y) has the matrix form A, where

A[ col1 = -1,0, and A[col2 = 0,1]   

12. The null space A of matrix is a vector space 

13. If v+w and v-w are both in a vector space, then v and w are also in the vector space 

14. A linear map R^2 that send (x,y) to (-x,y) has the matrix form A, where A[ col1 = 0,-1] and A[col2 = -1,0] 

15. The null space for the matrix A, where A=[col1= 1,2] and A[col2= 2,4] is the form

[-2k,k] where k can be any real numbers  

16. A linear map in R^2 that send (x,y) to (2x,2y) has the matrix form A, where A[col1= 0,2] and A[col2= 2,0 ] 

17. A linear map R^3 has the matrix form A, where A[col1= [ 0 , -1, 0 ]

and A[col2 = 1, 0 ,0 ] and A [ col3 = 0, 0 ,1] This is rotation around the x-axis 

18. If u+v and u+w are both in a vector space, then v+ w are also in the vector space 

19. A vector space in R^2 must have infinite number of element or no element at all 

20. IF (1,0,0) and (0,1,0) are in the vector space in R^3 then the x-y plane is in the vector space 

21. A vector space with the zero vector removed is no longer a vector space 

 

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