# How to find the matrix of a linear transformation with respect to two bases?

I'm having some trouble understanding the process of actually finding what $[T]_\beta ^\gamma$ is, given $2$ bases $\beta$ and $\gamma$. Here's an example:

Let $T$: $P_3(\mathbb{R})$ $\rightarrow$ $P_2(\mathbb{R})$ be the linear transformation defined by $T(f(x))$ = $f'(x)$. Let $\beta$ and $\gamma$ be the standard ordered bases for $P_3$ and $P_2$ (over $\mathbb{R}$), respectively. Find $[T]_\beta ^\gamma$.

What exactly is the step-by-step process of finding $[T]_\beta ^\gamma$? I know it's a very simple concept, but it's just not clicking with me.

• Is $P_n(\Bbb{R})$ the space of polynomials over $\Bbb{R}$ of degree less than $n$? And are the bases $\beta$ and $\gamma$ explicitly given? Dec 13 '16 at 14:14
• Oops, I forgot to add that $\beta$ and $\gamma$ are standard ordered bases. That's my bad.
– Max
Dec 13 '16 at 14:16
• Oops, then I gave away the answer. But I guess you got it already :) Dec 13 '16 at 14:21

Let $\beta=(\beta_1,\beta_2,\beta_3)$ and $\gamma=(\gamma_1,\gamma_2)$, where $\beta_1,\beta_2,\beta_3\in P_3(\Bbb{R})$ and $\gamma_1,\gamma_2\in P_2(\Bbb{R})$. The columns of the matrix $[T]_{\beta}^{\gamma}$ are the images of the basis vectors of $\beta$ under $T$, written on the basis $\gamma$. These are $$T(\beta_1)=\beta_1',\qquad T(\beta_2)=\beta_2',\qquad T(\beta_3)=\beta_3',$$ but to express them in terms of $\gamma_1$ and $\gamma_2$ you need to know (more about) what the bases $\beta$ and $\gamma$ are exactly. For example, on the standard bases $E_3=(1,x,x^2)$ and $E_2=(1,x)$ for $P_3(\Bbb{R})$ and $P_2(\Bbb{R})$ respectively, you have \begin{align*} T(1)=&\ 0&=0\cdot1+0\cdot x\\ T(x)=&\ 1&=1\cdot1+0\cdot x\\ T(x^2)=&\ 2x&=0\cdot1+2\cdot x \end{align*} so the matrix $[T]_{E_3}^{E_2}$ is given by $$[T]_{E_3}^{E_2}=\begin{pmatrix} 0&1&0\\0&0&2\end{pmatrix}$$

Very simple: the column vectors of $T_\beta^\gamma$ are the coordinates (in basis $\gamma$) of the derivatives of the vectors in basis $\beta$.

• So, in general, am I "plugging in" vectors of $\beta$ into $T$, then see which coefficients $\gamma$ is in terms of, then taking those coefficients as columns?
– Max
Dec 13 '16 at 14:15
• That's exactly right. Dec 13 '16 at 14:18
• It's exactly that – columns in the same order as the vectors in $\beta$ and rows in the same order as the vectors in $\gamma$. Dec 13 '16 at 14:18
• Wow, that's actually a lot simpler than what I was thinking. Guess I was overthinking. It finally clicked, thank you!
– Max
Dec 13 '16 at 14:22
• It's only the general rule for any linear map between vector spaces (except for the derivative part). Dec 13 '16 at 14:24

Here is the more general setting.

Let $V$ (resp. $W$) be an $n$ (resp. $m$) dimensional vector space over $\mathbb{R}$. Let $\alpha=(v_1,\cdots,v_n)$ be an ordered basis in $V$ and $\beta=(w_1,\cdots,w_m)$ an ordered basis in $W$.

For any vector $x\in V$, denote its coordinate w.r.t. the basis $\alpha$ as $[x]_\alpha=(x_1,\cdots,x_n)^T$ and for any vector $y\in W$, denote its coordinate w.r.t. the basis $\beta$ as $[y]_\beta=(y_1,\cdots,y_m)^T.$

Let $T:V\to W$ be a linear transformation. Let $[T]_\alpha^\beta$ denotes the matrix for $T$ w.r.t. the bases $\alpha$ and $\beta,$ i.e., $$[T]^\alpha_\beta=\bigr[[Tv_1]_\beta,\cdots,[Tv_n]_\beta\bigr].$$ Note in particular that $[T]^\alpha_\beta$ is an $m\times n$ matrix.

So what are the steps to find $[T]^\alpha_\beta$?

• Note that you are given $\alpha$ and $\beta$, and $T$. Identify what are $m$ and $n$ for your problem;
• Find $Tv_j$ for each $j$;
• and then find $[Tv_j]_\beta$.

For the very last step, you need to know how to find $[z]_{\beta}$ given $z\in W$. Suppose $[z]_\beta=(z_1,\cdots,z_m)^T$ Then by the definition of coordinates: $$z=\sum_1^m z_iw_i$$ which essentially gives you a linear equation about the $z_i$'s.

• Generality can be increased further by omitting 'over $\Bbb{R}$'. Dec 13 '16 at 16:52