释义 |
Linearly Dependent Vectors Vectors , , ..., are linearly dependent Iff thereexist Scalars , , ..., , not all zero, such that
 | (1) |
where Einstein Summation is used and , ..., . If no such Scalars exist,then the vectors are said to be linearly independent. In order to satisfy the Criterion for linear dependence,
 | (2) |
 | (3) |
In order for this Matrix equation to have a nontrivial solution, the Determinant must be 0, so the Vectors are linearly dependent if
 | (4) |
and linearly independent otherwise.
Let and be -D Vectors. Then the following three conditions are equivalent(Gray 1993). - 1.
and are linearly dependent. - 2.
. - 3. The
Matrix has rank less than two.
References
Gray, A. Modern Differential Geometry of Curves and Surfaces. Boca Raton, FL: CRC Press, pp. 186-187, 1993.
|