I want to check if the following matrix is linearly independent or not:
$$\begin{bmatrix}0&1\\0&1\end{bmatrix}$$
Now, this should be easy enough. This is what I do:
$$\lambda_1\begin{bmatrix}0\\0\end{bmatrix}+\lambda_2\begin{bmatrix}1 \\ 1\end{bmatrix} =0$$
If I find that $\lambda_1 =0$ and $\lambda_2=0$ are the only solutions to the system then the matrix is linearly independent, otherwise it is linearly dependent. I multiply the scalars by the vectors:
$$\begin{bmatrix}0\\0\end{bmatrix}+\begin{bmatrix}\lambda_2 \\ \lambda_2\end{bmatrix} =0$$
I get
$$\lambda_2=0$$
$$\lambda_2=0$$
So basically my solutions are $\lambda_2=0$ and $\lambda_1$ can be any number. Any hints if my reasoning is correct? I inserted the two vectors $v_1 = (0,0)$ and $v_2 = (1,1)$ of the matrix here and it says they're dependent. I'm not sure if I chose the right vectors though.
Please note my textbook assumes I don't know about ranks or determinants yet. So these are out of the equation. I should be able to determine if they are linearly dependent or independent by looking at the linear combination and doing something with it.
Best Answer
If, when you say that a matrix is linearly dependent, what you mean is that its columns are linearly dependent, then you are right. I would add a concrete example of scalars $\lambda_1$ and $\lambda_2$ (not both equal to $0$) such that$$\lambda_1\begin{bmatrix}0\\0\end{bmatrix}+\lambda_2\begin{bmatrix}1 \\ 1\end{bmatrix} =0,$$such as, for instance, $\lambda_1=1$ and $\lambda_2=0$.