Since the set of vectors $\{\vec{a},\vec{b},\vec{c}\}$ are a basis of $\mathbb{R^3}$, we can understand that they are linearly independent. This means that:
- $\alpha_1\cdotp\vec{a}+\alpha_2\cdotp\vec{b}+\alpha_3\cdotp\vec{c}=\vec{0}$ , or
- $\det\{\vec{a},\vec{b},\vec{c}\}\neq0$ .
I tried to solve the second option by assigning values to the $\{\vec{a},\vec{b},\vec{c}\}$. I concluded that $\{3\vec{a}-2\vec{b},\vec{a}+4\vec{b}+5\vec{c},\vec{a}-2\vec{c}\}$ is also linearly independent, therefore, is a basis of $\mathbb{R^3}$:
$$\vec{a}=(1,0,1)\\\vec{b}=(-2,1,4)\\\vec{c}=(0,3,1)$$
$$\det\begin{vmatrix}1&-2&0\\0&1&3\\1&4&1\end{vmatrix}=-17$$
$$3\vec{a}-2\vec{b}=(7,-2,-5)\\\vec{a}+4\vec{b}+5\vec{c}=(-7,19,20)\\\vec{a}-2\vec{c}=(1,-6,-1)$$
$$\det\begin{vmatrix}7&-7&1\\-2&19&-6\\-5&20&-1\end{vmatrix}=\underline{566}$$
So, $\{3\vec{a}-2\vec{b},\vec{a}+4\vec{b}+5\vec{c},\vec{a}-2\vec{c}\}$ is also linearly independent, therefore, is a basis of $\mathbb{R^3}$.
The problem is, the question asks for a general statement, which I cannot prove by giving an example. So how could I determine whether the set of $\{3\vec{a}-2\vec{b},\vec{a}+4\vec{b}+5\vec{c},\vec{a}-2\vec{c}\}$ is also a basis of $\mathbb{R^3}$ or not?
The matrix of the second set is
$[ 3 a - 2 b , a + 4 b + 5 c, a - 2 c] = [a,b,c] \begin{bmatrix} 3 && 1 && 1 \\ -2 && 4 && 0 \\ 0 && 5 && -2 \end{bmatrix} $
Now, $\begin{vmatrix} 3 && 1 && 1 \\ -2 && 4 && 0 \\ 0 && 5 && -2 \end{vmatrix} = 3(-8) + 2 (-7) = -38 \ne 0 $
And since the determinant of a product of two matrices is the product of the determinants of the two matrices, we conclude that the determinant of $[3 a - 2 b , a + b + 5c, a -2 c]$ is non-zero, and this means its columns are linearly independent, and thus they form a basis for $\mathbb{R}^3$.