The technical definition of a basis of a space is a set of linearly independent vectors that span that space.
空间基的专业定义是一组线性无关的向量 它们张成空间。
Linear algebra
On the other hand, if each rector really does add another dimension to the span, there said to be linearly independent.
另一方面 如果每个矩形确实给张成的空间增加了另一个维度 这就是线性无关的。
Linear algebra
Now, given how I described a basis earlier, and given your current understanding of the words span and linearly independent, think about why this definition would make sense.
The vectors in a set are said to be linearly independent if the equation
can only be satisfied by for . This implies that no vector in the set can be represented as a linear combination of the remaining vectors in the set. In other words, a set of vectors is linearly independent if the only representations of 0 as a linear combination of its vectors is the trivial representation in which all the scalars ai are zero.