Linear combinations of vectors Assignment Help

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Linear combinations of vectors:

The linear combination of finite set of vectors 2447_Linear combinations of vectors1.png is defined as a vector 1065_Fundamental theorems of vectors1.png such that 

1027_Linear combinations of vectors.png where k1, k2, ... kn are any scalars.

LINEARLY DEPENDENT AND INDEPENDENT VECTORS

A system of vectors 2447_Linear combinations of vectors1.png is said to be linearly dependent if there exists a system of scalars k1, k2 ..., kn such that

399_Linear combinations of vectors2.png

They are said to be linearly independent if every relation of type 399_Linear combinations of vectors2.png implies that k1 = k2 =....=kn = 0.

Notes:     

  • The 2 collinear vectors are linearly dependent always.
  • The 2 non-collinear non-zero vectors are always linearly independent
  • The 3 coplanar vectors are always linearly dependent.
  • The 3 non-coplanar non-zero vectors are always linearly independent.
  • More than 3 vectors are linearly dependent always.
  • The 3 points with position vectors  1062_Linear combinations of vectors4.png are collinear if  1781_Linear combinations of vectors5.png with  1723_Linear combinations of vectors6.png
  • The 4 points with position vectors  842_Linear combinations of vectors8.png  are coplanar if  1144_Linear combinations of vectors7.png

 

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