Three vectors in R^3 can be linearly independent and also span R^3, as any set of three linearly independent vectors in this space forms a basis. It is clarified that a set can be linearly independent without spanning a space, and vice versa. The discussion also addresses how to express vectors in R^2 using linear combinations, demonstrating that the vectors [1,0] and [-1,1] span R^2. The equation [x,y] = a[1,0] + b[-1,1] illustrates how any vector in R^2 can be represented as a combination of these two vectors. Understanding these concepts is crucial for grasping the properties of vector spaces and their bases.