
Hunter V. answered 05/04/20
PhD Student in Mathematics with 5 years of teaching experience.
Hello Kunal,
So I think that you're question is awesome. It is perfect for understanding 2 things. Firstly, how bases work, and secondly, how linear maps (a.k.a. matrices) behave.
To plainly answer your question, Au can be represented as a linear combination of any 2 vectors which form a basis. More precisely, if {v1, v2 } is any basis for R2, then there exists scalars a1 and a2 such that
Au = a1v1 + a2v2.
What is an "obvious" linear combination? Given the context of the problem, you probably ought to use some property of the matrix A. What I suggest before going any further is actually multiplying it out. Still not clear? Think about using the linearity properties of A. I will discuss this latter method. Represent u in the standard basis.
That is,
u = u1 e1 + u2e2
where e1 = (1, 0) and e2 = (0, 1). Then using linearity, we have that
Au = A(u1 e1 + u2e2) = u1 Ae1 + u2Ae2 = u1 a1 + u2a2
where a1 and a2 are the first and second columns of the matrix A. Notice that we are using the fact that A is linear -- that we can pull out the scalars u1 and u2 and we can distribute the matrix A over addition.
So the answer to your question is that Au can be "obviously" represented as a linear combination of its columns. In your class, you will soon cover something called the "column space" of A, which is the set of all the vectors v which are "hit" by A -- that is, that there is some u such that Au = v. The column space of A happens to be the span of the columns of A.
Hope this helps!