You have a linear system of three equations in three unknowns, which you can write in matrix form as
$$
A\mathbf{c} = \mathbf{0},
$$
where
$$
A = \begin{pmatrix}1&a&a^2\\1&b&b^2\\1&c&c^2\end{pmatrix} \in \mathbb{R}^{3 \times 3}
$$
is your coefficient matrix and
$$
\mathbf{c} = \begin{pmatrix}c_1\\c_2\\c_3\end{pmatrix} \in \mathbb{R}^3
$$
is your unknown vector. In these terms, then, $(1,1,1)$, $(a,b,c)$, and $(a^2,b^2,c^2)$ are linearly independent if and only if the system $A\mathbf{c} = \mathbf{0}$ has a unique solution, if and only if $A$ is invertible, if and only if $\det(A) \neq 0$. But now,
$$
\det(A) = \begin{vmatrix}1&a&a^2\\1&b&b^2\\1&c&c^2\end{vmatrix} = \begin{vmatrix}1&a&a^2\\0&b-a&b^2-a^2\\0&c-a&c^2-a^2 \end{vmatrix}=(b-a)(c^2-a^2)-(b^2-a^2)(c-a)\\=(b-a)(c-a)\left((c+a)-(b+a) \right) = (b-a)(c-a)(c-b),
$$
from which it follows that $(1,1,1)$, $(a,b,c)$, and $(a^2,b^2,c^2)$ are linearly independent if and only if $a$, $b$, and $c$ are all distinct.