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Vectors and 3-D Geometry
   Introduction to Vectors and 3-D Geometry
   BASIC VECTOR OPERATIONS
   ADDITION OF VECTORS- TRIANGLE PARALLELOGRAM LAW
   SUBTRACTION OF VECTORS
   Example problems on ADDITION OF VECTORS
   MULTIPLICATION OF A VECTOR BY A SCALAR
   Example problems on MULTIPLICATION OF VECTOR
   linearly independent and dependent vectors
   RESOLUTION OF A VECTOR IN A GIVEN BASIS
   MAGNITUDE, DIRECTION COSINES AND DIRECTION RATIOS
   Example problems on vectors and COLLINEARITY
   Example problems on vectors and section formula
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RESOLUTION OF A VECTOR IN A GIVEN BASIS

RESOLUTION OF A VECTOR IN A GIVEN BASIS
Consider two non-collinear vectors and ; as discussed earlier, these will form a basis of the plane in which they lie. Any vector in the plane of and can be expressed as a linear combination of and :

= + =l + m for some l,m ÎR
The vectors and are called the components of the vector along the basis formed by and . This is also stated by saying that the vector when resolved along the basis formed by and , gives the components
and . Also, as discussed earlier, the resolution of any vector along a given basis will be unique.
We can extend this to the three dimensional case: an arbitrary vector can be resolved along the basis formed by any three non-coplanar vectors, giving us three orresponding components. Refer to Fig - 20 for a visual picture.
RECTANGULAR RESOLUTION
Let us select as the basis for a plane, a pair of unit vector i and j perpendicular to each other.

Any vector in this basis can be written as

where x and y are referred to as the x and y components of .
For 3-D space, we select three unit vectors i, j and k each perpendicular to the other two.

In this case, any vector will have three corresponding components, generally denoted by x, y and z. We thus have
= xi + yj + zk
The basis ( i, j ) for the two dimensional case and ( i, j, k ) for the three-dimensional case are referred to as rectangular basis and are extremely convenient to work with. Unless otherwise stated, we.ll always be using a rectangular basis from now on. Also, we.ll always be implicitly assuming that we.re working in three dimensions since that automatically covers the two dimensional case.


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