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In Section 1.3 we introduced the concept of a linear combination of column vectors. The following definition extends this
idea to more general vectors.
DEFINITION
A vector w is called a linear combination of the vectors if it can be expressed in the form
where are scalars.
Remark If , then the equation in the preceding definition reduces to ; that is, w is a linear combination of a
single vector if it is a scalar multiple of .
EXAMPLE 8 Vectors in Are Linear Combinations of i, j, and k
Every vector in is expressible as a linear combination of the standard basis vectors
since
EXAMPLE 9 Checking a Linear Combination
Consider the vectors and in . Show that is a linear combination of u and v and
that is not a linear combination of u and v.
Solution ; that is,
In order for w to be a linear combination of u and v, there must be scalars and such that
or
Equating corresponding components gives
Solving this system using Gaussian elimination yields , , so

