Essential Vocabulary
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Linear combination of vectors
A vector is said to be a linear combination of vectors if for some scalars .
Linearly dependent vectors
Let be vectors of . We say that the set is linearly independent if the only solution to is the trivial solution .
If, in addition to the trivial solution, a non-trivial solution (not all are zero) exists, then we say that the set is linearly dependent.
Linearly independent vectors
Let be vectors of . We say that the set is linearly independent if the only solution to is the trivial solution .
If, in addition to the trivial solution, a non-trivial solution (not all are zero) exists, then we say that the set is linearly dependent.
Redundant vectors
Let be a set of vectors in . If we can remove one vector without changing the span of this set, then that vector is redundant. In other words, if we say that is a redundant element of , or simply redundant.
Span of a set of vectors
Let be vectors in . The set of all linear combinations of is called the span of . We write and we say that vectors span . Any vector in is said to be in the span of . The set is called a spanning set for .
2024-09-06 02:09:59