#math/linear-algebra --- **Problem 1:** Suppose $T \in \mathcal{L}(U,V)$ and $S \in \mathcal{L}(V,W)$ are both invertible linear maps. Prove that $ST \in \mathcal{L}(U,W)$ is invertible and that $(ST)^{-1} = T^{-1}S^{-1}$. Observe the following, $ \begin{align} (T^{-1}S^{-1})(ST) & = T^{-1}(S^{-1}S)T & \text{Associativity of functions} \\ & =T^{-1}IT \\ & =T^{-1}T \\ & =I \end{align} $ And $ \begin{align} (ST)(T^{-1}S^{-1}) & =S(TT^{-1})S^{-1} & \text{Associativity of functions} & =SIS^{-1} \\ & = SS^{-1} \\ & =I \end{align} $ Thus by uniqueness of the inverse of a linear map, it must be that $T^{-1}S^{-1}$ is the inverse of $(ST)$ and $(ST)^{-1}=T^{-1}S^{-1}$. --- **Problem 2:** Suppose $V$ is finite-dimensional and $\dim V > 1$. Prove that the set of noninvertible operators on $V$ is not a subspace of $\mathcal{L}(V)$. Let $v_{1},\ldots,v_{k}$ be a basis for $V$. Construct a $T\in \mathcal{L}(V)$ such that $Tv_{i}=v_{i}$ for $i=2,\ldots,k$ and $Tv_{1}=0$. Construct an $S\in \mathcal{L}(V)$ such that $S_{v_{1}}=v_{1}$ and $S_{v_{i}}=0$ for $i=2,\ldots,k$. Since $\text{null }T\neq{}0$ and $\text{range T}\neq{}V$, $T$ is a noninvertible operator. Similarly, $S$ is a noninvertible operator. Now suppose a $v\in V$ such that $v=a_{1}v_{1}+\ldots+a_{k}v_{k}$. Then $ \begin{align} (S+T)v & = Sv+Tv \\ & =(a_{1}v_{1} + 0) + (0+a_{2}v_{2}+\ldots+a_{k}v_{k}) \\ & = a_{1}v_{1}+\ldots+a_{k}v_{k} \end{align} $ Then $S+T$ is the identity map on $V$ and $S+T$ is surjective and thus invertible. --- **Problem 3:** Suppose $V$ is finite-dimensional, $U$ is a subspace of $V$, and $S \in \mathcal{L}(U,V)$. Prove there exists an invertible operator $T \in \mathcal{L}(V)$ such that $Tu = Su$ for every $u \in U$ if and only if $S$ is injective. $(\Rightarrow)$ Suppose $T\in \mathcal{L}(V)$ is invertible and $S\in \mathcal{L}(U,V)$. Since $T$ is invertible $\text{null }T=\{ 0 \}$ and $\text{null S} \subseteq \text{null }T$, it must be that $\text{null }S=\{ 0 \}$. Thus $S$ is injective. $\quad \blacksquare{}$ $(\Leftarrow)$ Suppose $S\in \mathcal{L}(U,V)$ is injective. Let $u_{1}, \ldots{}, u_{n}$ be a basis of $U$. Extend it with $v_{1}, \ldots{}, v_{m}$ to be a basis of $V$. Then for any $v\in V$, $v=a_{1}u_{1}+\ldots+a_{n}u_{n}+b_{1}v_{1}+\ldots+b_{m}v_{m}$ with $a_{i},b_{j}\in \mathbf{F}$. Since $S$ is injective, $Su_{1}, \ldots{}, Su_{n}$ is linearly independent and thus a basis for $\text{range }S$. Extend this with $w_{1}, \ldots{}, w_{m}$ to be a basis of $V$. Suppose $T:V\to V$ where $Tu_{i}=Su_{i}$ for $i=1,\ldots,n$ and $Tv_{j}=w_{j}$ for for $j=1,\ldots,m$. Now $T$ is well-defined on $V$. And by inspection, $T$ is a linear map and surjective. Since $T$ is an operator and surjective it is invertible. [Tikz diagram depicting one rectangle partitioned into two representing U and V-U. Then a second rectangle to the right of this rectangle that is also partitioned into two representing rangeS and V-rangeS. Where V-rangeS and V-U are the same size]. --- **Problem 4:** Suppose $W$ is finite-dimensional and $T_1, T_2 \in \mathcal{L}(V,W)$. Prove that $\operatorname{null} T_1 = \operatorname{null} T_2$ if and only if there exists an invertible operator $S \in \mathcal{L}(W)$ such that $T_1 = ST_2$. $(\Leftarrow)$ Suppose $S \in\mathcal{L}(W)$ such that $T_{1}=ST_{2}$. Then, suppose $v\in V$ such that $T_{1}v=0$. Then $ST_{2}v=0$ and since $S$ is invertible, and therefore injective, $T_{2}v=0$. The converse is true for each as well. Thus $v\in \text{null }T_{1} \iff v\in \text{null }T_{2}$. $(\Rightarrow)$ Suppose $\text{null }T_{1}=\text{null }T_{2}$. Define $R : \text{range }T_{2}\to W$ where $ R(T_{2}v)=T_{1}v $ First, we must show that $R$ is a well-defined function. Suppose $T_{2}v_{1}=T_{2}v_{2}$, then $T_{2}v_{1}-T_{2}v_{2}=T_{2}(v_{1}-v_{2})=0\implies v_{1}-v_{2}\in \text{null }T_{2}=\text{null }T_{1}$. So, $T_{1}(v_{1}-v_{2})=0$ and $T_{1}v_{1}=T_{1}v_{2}$. Thus $R$ is well-defined. By inspection, $R$ is also linear. Now suppose $Rw=0$ for some $w\in \text{range }T_{2}$. Then there must be a $v\in V$ such that $T_{2}v=w$. Then $ 0=Rw=RT_{2}v=T_{1}v $ Since $\text{null }T_{1}=\text{null }T_{2}$, $w=T_{2}v=0$. Thus $R$ is injective. Since $W$ is finite-dimensional, problem 3 implies that there must exist an invertible operator $S\in \mathcal{L}(W)$ such that $Sw=Rw$ for all $w\in \text{range }T_{2}$. Therefore, for every $v\in V$ $ ST_{2}v=RT_{2}v=T_{1}v $ Thus $T_{1}=ST_{2}$. $\quad \blacksquare{}$ _(In regards to $R's$ well-definedness, the concern if we have $T_{2}v_{1}=T_{2}v_{2}$ but $T_{1}v_{1}\neq{}T_{1}v_{2}$ which would make $R$ not well-defined.)_ **Follow up questions**: why didn't we need some basis remapping? Or is that what we implicitly did with $R$ but we leveraged the function definition with a generic $v$? We used null space to prove that $T_{1}v_{1}=T_{1}v_{2}$ when $T_{2}v_{1}=T_{2}v_{2}$ in our definition of $R$ via $v_{1}-v_{2}\in \text{null }T_{2}$, how is this working? Before invoking problem 3, basis remapping wasn't required because of the following property. If $\text{null }T_{1}=\text{null }T_{2}$ then $T_{1}v_{1}=T_{1}v_{2}\iff T_{2}v_{1}=T_{2}v_{2}$. So, rather than looking at the null space as the set of vectors that map to $0$, we can interpret it as _what pair of vectors map to the same output._ Thus, if two maps share the same null space, they share the same set of vectors which map to the same output—equivalent co-domain isn't required. --- **Problem 5:** Suppose $V$ is finite-dimensional and $T_1, T_2 \in \mathcal{L}(V,W)$. Prove that $\operatorname{range} T_1 = \operatorname{range} T_2$ if and only if there exists an invertible operator $S \in \mathcal{L}(V)$ such that $T_1 = T_2 S$. $(\Rightarrow)$ Suppose $\text{range }T_{1}=\text{range }T_{2}$. Let $\text{dim }V=n$. By the [[3B3 - Fundamental Theorem of Linear Maps|fundamental theorem of linear maps]], $\text{dim null }T_{1}=\text{dim null }T_{2}=k$. Let $n_{1}, \ldots{}, n_{k}$ be a basis for $\text{null }T_{1}$ and let $m_{1}, \ldots{}, m_{k}$ be a basis for $\text{null }T_{2}$. Extend $n_{1}, \ldots{}, n_{k}$ with $p_{1}, \ldots{}, p_{n-k}$ to be a basis of $V$. Then $T_{1}p_{1},\ldots,T_{1}p_{n-k}$ is a basis for $\text{range }T_{1}$. Since $\text{range }T_{1}=\text{range }T_{2}$, there must exist some $q_{1},\ldots, q_{n-k}\in V$ such that $ T_{2}q_{j}=T_{1}p_{j} $ for $j=1,\ldots,n-k$. Since $T_{2}q_{1},\ldots, T_{2}q_{n-k}$ are linearly independent, then $q_{1},\ldots,q_{n-k}$ must be linearly independent (suppose $0=b_{1}q_{1}+\ldots+b_{n-k}q_{n-k}$, then apply $T_{2}$ to both sides... and $0=b_{1}T_{2}q_{1}+\ldots+b_{n-k}T_{2}q_{n-k}$. Since $T_{2}q_{1},\ldots,T_{2}q_{n-k}$ is independent $b_{1}=\ldots=b_{n-k}=0$ and thus $q_{1},\ldots,q_{n-k}$ is linearly independent). Let $U=\text{span }(q_{1}, \ldots{}, q_{n-k})$. We'll show that $U\oplus \text{null }T_{2}=V$. Suppose $z\in V$. Then $T_{2}z\in \text{range }T_{2}$ so $T_{2}z=a_{1}T_{2}q_{1}+\ldots+a_{n-k}T_{2}q_{n-k}$. Then, $T_{2}(z-a_{1}q_{1}-\ldots-a_{n-k}q_{n-k})=0$ which means $z-a_{1}q_{1}-\ldots-a_{n-k}q_{n-k}\in \text{null }T_{2}$. Thus $ \begin{align} z & = (a_{1}q_{1}+\ldots+a_{n-k}q_{n-k}) + (z-a_{1}q_{1}-\ldots-a_{n-k}q_{n-k}) \end{align} $ where the first term is in $U$ and the second in $\text{null }T_{2}$. Now we'll show that $U\cap \text{null }T_{2}=\{ 0 \}$. Suppose $z\in U\cap \text{null }T_{2}$. Then $z=a_{1}q_{1}+\ldots a_{n-k}q_{n-k}$ and $T_{2}z=0$. So $T_{2}(a_{1}q_{1}+\ldots a_{n-k}q_{n-k})=0$ and $a_{1}T_{2}q_{1}+\ldots+a_{n-k}T_{2}q_{n-k}=0$ implies $a_{1}=\ldots=a_{n-k}=0$ since $T_{2}q_{1},\ldots,T_{2}q_{n-k}$ is linearly independent. Thus $z=0$ and $U\cap \text{null }T_{2}=\{ 0 \}$. Therefore, $U\oplus \text{null }T_{2}=V$. Define $S\in \mathcal{L}(V)$ such that $Sn_{i}=m_{i}$ for $i=1,\ldots,k$ and $Sp_{j}=q_{j}$ for $j=1,\ldots,n-k$. Let $v\in V$ then $v=a_{1}n_{1}+\ldots+a_{k}n_{k}+b_{1}p_{1}+\ldots+b_{n-k}p_{n-k}$ and $Sv=S(a_{1}n_{1}+\ldots+a_{k}n_{k}+b_{1}p_{1}+\ldots+b_{n-k}p_{n-k})=a_{1}m_{1}+\ldots+a_{k}m_{k}+b_{1}q_{1}+\ldots+b_{n-k}q_{n-k}.$ So $S$ is defined for all of $V$ and by inspection, $S$ is linear. Additionally, $S$ maps basis to basis so $S$ is invertible. Now suppose a $z\in V$. Then $ \begin{align} T_{2}Sz & = T_{2}S(a_{1}n_{1}+\ldots+a_{k}n_{k}+b_{1}p_{1}+\ldots+b_{n-k}p_{n-k}) \\ & = T_{2}(a_{1}m_{1}+\ldots+a_{k}m_{k}+b_{1}q_{1}+\ldots+b_{n-k}q_{n-k}) \\ & = a_{1}T_{2}m_{1}+\ldots+a_{k}T_{2}m_{k} + b_{1}T_{2}q_{1}+\ldots+b_{n-k}T_{2}q_{n-k}\\ & = b_{1}T_{1}p_{1}+\ldots+b_{n-k}T_{1}p_{n-k}\\ \end{align} $ And $ \begin{align} T_{1}z & =T_{1}(a_{1}n_{1}+\ldots+a_{k}n_{k}+b_{1}p_{1}+\ldots+b_{n-k}p_{n-k}) \\ & =b_{1}T_{1}p_{1}+\ldots+b_{n-k}T_{1}p_{n-k} \end{align} $ Therefore, $T_{2}S=T_{1}$. $(\Leftarrow)$ Let $S\in \mathcal{L}(V)$ be an invertible operator such that $T_{1}=T_{2}S$. Since $S$ is invertible, it surjective, so $S(V)=V$, ($S$ defined on all of $v$ and maps onto all of $V$), and then $ \text{range }T_{1}=T_{1}(V)=(T_{2}S)(V)=T_{2}(S(V))=T_{2}(V)=\text{range }T_{2}. $ $\quad \blacksquare{}$ _In the forward pass, I originally tried to define $Sv$ to be some vector $q∈V$ such that $T_{2}q=T_{1}v$, so that $T_{2}(Sv)=T_{2}q=T_{1}v$. While this $q$ exists because $\text{range }T1=\text{range }⁡T2$, it is not necessarily unique. There may be distinct $q1,q2∈V$ such that $ T_{2}q_{1}=T_{1}v=T_{2}q_{2} $ Thus, without making a consistent choice, the proposed rule could assign two different outputs to the same input, ($v\to q_{1}$ and $v\to q_{2}$), and would not be well-defined._ --- **Problem 6:** Suppose $V$ and $W$ are finite-dimensional and $T_1, T_2 \in \mathcal{L}(V,W)$. Prove that there exist invertible operators $R \in \mathcal{L}(V)$ and $S \in \mathcal{L}(W)$ such that $T_1 = ST_2 R$ if and only if $\dim \operatorname{null} T_1 = \dim \operatorname{null} T_2$. $(\Rightarrow)$ Suppose $R\in \mathcal{L}(V)$ and $S\in\mathcal{L}(W)$ such that $T_{1}=ST_{2}R$. Then $\text{range }T_{1}=\text{range }ST_{2}R$. And by the [[3B3 - Fundamental Theorem of Linear Maps|fundamental theorem of linear maps]], $\text{dim null }T_{1}=\text{dim null }ST_{2}R$. Since $R$ is invertible on $V$, it is surjective on $V$. So $R(V)=V$. Thus the dimension of $\text{null }T_{2}$ equal to $\text{dim null }T_{2}R$. Since $S$ is invertible, it is injective and has $\text{null }S=\{ 0 \}$. Thus, $ST_{2}Rv=0\iff T_{2}Rv=0\iff T_{2}(u)=0$. Thus $\text{dim null }ST_{2}R=\text{dim null }T_{2}$. And $\text{dim null }T_{1}=\text{dim null }T_{2}$. $(\Leftarrow)$ Suppose $\text{dim null }T_{1}=\text{dim null }T_{2}.$ Let $\text{dim }V=n$. Let $x_{1}, \ldots{}, x_{k}$ be a basis for $\text{null }T_{1}$ and extend it with $v_{1},\ldots,v_{n-k}$ to a basis of $V$. Let $y_{1}, \ldots{}, y_{k}$ be a basis for $\text{null }T_{2}$ and extend it with $u_{1}, \ldots{}, u_{n-k}$ to a basis of $V.$ Define $R\in \mathcal{L}(V)$ where $Rx_{i}=y_{i}$ for $i=1,\ldots,k$ and $Rv_{j}=u_{j}$ for $j=1,\ldots,n-k$. Since $x_{1}, \ldots{}, x_{k},v_{1}, \ldots{}, v_{n-k}$ form a basis of $V$, $R$ is defined on all of $V$. By inspection $R$ is a well-defined function and linear. Suppose $v\in \text{null }T_{1}$ then $v=a_{1}x_{1}+\ldots+a_{k}x_{k}$ and $ \begin{align} T_{2}Rv & =T_{2}R(a_{1}x_{1}+\ldots+a_{k}x_{k})\\ & =T_{2}(a_{1}y_{1}+\ldots a_{k}y_{k}).\\ \end{align} $ So $v\in \text{null }T_{2}$. Suppose $u\in \text{null }T_{2}R$ then $T_{2}Ru=0\implies Ru=a_{1}y_{1}+\ldots +a_{k}y_{k}\implies$ $u=a_{1}x_{1}+\ldots a_{k}x_{k}$. So $u\in \text{null }T_{1}$. Thus by problem $3$, since $W$ is finite dimensional and $\text{null }T_{1}=\text{null }T_{2}R$ there must exist an invertible operator $S\in \mathcal{L}(W)$ such that $T_{1}=ST_{2}R$. --- **Problem 7:** Suppose $V$ and $W$ are finite-dimensional. Let $v \in V$. Let $ E = \{T \in \mathcal{L}(V,W) : Tv = 0\}. $ **(a)** Show that $E$ is a subspace of $\mathcal{L}(V,W)$. **(b)** Suppose $v \neq 0$. What is $\dim E$? **(a)** Suppose $S,R\in E$ then $S\in \mathcal{L}(V,W)$ where $Sv=0$ and $R\in \mathcal{L}(V,W)$ where $Rv=0$. Then, $(S+R)v=Sv+Rv=0+0=0.$ Suppose $\lambda \in \mathbf{F}$, then $(\lambda S)v=\lambda (Sv)=\lambda0=0$. And $0v=0$ where the left hand side $0$ is the zero map. So $E$ is a subspace. **(b)** Let $\text{dim }V=n$ and $\text{dim }W=m$. Let $v,v_{2},\ldots,v_{n}$ be a basis of $V$. Then for a $T\in E$ and any $u\in V$, $Tu=Ta_{1}v+Ta_{2}v_{2}+\ldots+Ta_{n}v_{n}=Ta_{2}v_{2}+\ldots+Ta_{n}v_{n}$. Then the first column matrix of $T$ is $\mathcal{M}(T)\cdot,1=0$. And columns $j=2,\ldots,n$ are arbitrary vectors in $\mathbf{F}^{m,1}$. Thus $\text{dim }E=m(n-1)$. --- **Problem 8:** Suppose $V$ is finite-dimensional and $T : V \to W$ is a surjective linear map of $V$ onto $W$. Prove that there is a subspace $U$ of $V$ such that $T|_U$ is an isomorphism of $U$ onto $W$. (Here $T|_U$ means the function $T$ restricted to $U$. In other words, $T|_U$ is the function whose domain is $U$, with $T|_U$ defined by $T|_U(u) = Tu$ for every $u \in U$.) Since $V$ is finite dimensional and $T:V\to W$ is surjective, $\text{dim }V\geq{}\text{dim }W$. Let $x_{1}, \ldots{}, x_{k}$ be a basis of $\text{null }T.$ Extend it with a $u_{1},\ldots,u_{n-k}$ to be a basis of $V$. Then for any $v\in V,$ $Tv=(a_{1}x_{1}+\ldots+a_{k}x_{k}+b_{1}u_{1}+\ldots+b_{n-k}u_{n-k})=b_{1}Tu_{1}+\ldots+b_{n-k}Tu_{n-k}$. So $\text{range T}=\text{span}(Tu_{1},\ldots,Tu_{n-k})$ and $Tu_{1},\ldots,Tu_{n-k}$ is linearly independent in $W$. Let $U=\text{span}(u_{1},\ldots,u_{n-k})$. Then $T|_{U}$ is surjective and injective and thus invertible. So $T|_{U}$ is an isomorphism from $U$ to $W$. --- **Problem 9:** Suppose $V$ is finite-dimensional and $S, T \in \mathcal{L}(V)$. Prove that $ST$ is invertible if and only if both $S$ and $T$ are invertible. $(\Rightarrow)$ Suppose $ST$ is invertible. Then $(ST)^{-1}(ST)=I$ and $((ST)^{-1}S)T=I$. So $T$ has a left inverse. By 3.68, since $T$ is an operator then $T$ has a right inverse as well. Thus $T$ is invertible. Similarly, $ST(ST)^{-1}=I$ and $S(T(ST)^{-1})=I$, so $S$ has a right inverse and similarly a left inverse. Thus $S$ is also invertible. $(\Leftarrow)$ Suppose $S$ and $T$ are invertible. Then consider $(T^{-1}S^{-1})(ST)=(T^{-1}(S^{-1}S)T)=T^{-1}IT=T^{-1}T=I$. Thus $(T^{-1}S^{-1})$ is the unique left inverse of $ST$. By 3.68, since $(ST)$ is an operator, then it has a right inverse as well. Thus $ST$ is invertible. $\quad \blacksquare{}$ --- **Problem 10:** Suppose $V$ is finite-dimensional and $S, T \in \mathcal{L}(V)$. Prove that $ST = I$ if and only if $TS = I$. $(\Rightarrow)$ Suppose $ST=I$, the $ST$ is surjective. And since $ST$ is an operator on a finite-dimensional $V$, it is also injective and hence invertible. By problem 9, since $S,T\in \mathcal{L}(V)$ and $ST$ is invertible, then $S$ and $T$ are invertible. Then $ST=I\implies S^{-1}ST=S^{-1}I\implies T=S^{-1}$. Thus $I=S^{-1}S=TS$. $(\Leftarrow)$ By symmetry the converse is true. _This is the proof of 3.68._ --- **Problem 11:** Suppose $V$ is finite-dimensional and $S, T, U \in \mathcal{L}(V)$ and $STU = I$. Show that $T$ is invertible and that $T^{-1} = US$. By problem 9, since $V$ is finite dimensional, $S,T,U\in \mathcal{L}(V)$, and by association of functions $S,T,U,ST,TU$ are invertible. Since $U$ is invertible and $(ST)U=I$ then $Us unique inverse must be $U^{-1}=ST$. Then by 3.55 we may conclude that $U(ST)=I$. Repeating the same logic we conclude that $(US)T=I$. $\quad \blacksquare{}$ --- **Problem 12:** Show that the result in the previous exercise can fail without the hypothesis that $V$ is finite-dimensional. Suppose $V=\mathrm{F}^{\infty}$. Take $U=I$. And define $S(x_{1},x_{2},\ldots)=(x_{2},x_{3},\ldots)$ and $T=(x_{1},x_{2},\ldots)=(0,x_{1},x_{2},\ldots)$. Then $STU=I$. However, $T$ is not invertible since it is not surjective. --- **Problem 13:** Suppose $V$ is a finite-dimensional vector space and $R, S, T \in \mathcal{L}(V)$ are such that $RST$ is surjective. Prove that $S$ is injective. Since $V$ is finite dimensional and $RST$ is a surjective operator on $V$, by 3.65, $RST$ is invertible. With association of functions and invertibility of $RST$, by problem 9, $S$ must be invertible and hence injective. --- **Problem 14:** Suppose $v_1, \ldots, v_n$ is a basis of $V$. Prove that the map $T : V \to \mathbf{F}^{n,1}$ defined by $ Tv = \mathcal{M}(v) $ is an isomorphism of $V$ onto $\mathbf{F}^{n,1}$; here $\mathcal{M}(v)$ is the matrix of $v \in V$ with respect to the basis $v_1, \ldots, v_n$. The map $T$ sends each $v\in V$ where $v=a_1v_1+\cdots+a_nv_n$ to its coordinate column $\mathcal M(v)=(a_1,\ldots,a_n)^T$. $T$ is linear because taking coordinates respects addition and scalar multiplication. And $T$ is surjective because for any $x=(c_1,\ldots,c_n)^T\in \mathbf F^{n,1}$, the vector $v=c_1v_1+\cdots+c_nv_n$ satisfies $Tv=x$. And it is injective because if $Tv=0$ then the coordinate representation of $Tv$ is all 0, and hence $v$ is $0$. Thus $\text{null }T=\{ 0 \}$ is invertible and is an isomorphism between $V$ and $F^{n,1}$. --- **Problem 15:** Prove that every linear map from $\mathbf{F}^{n,1}$ to $\mathbf{F}^{m,1}$ is given by a matrix multiplication. In other words, prove that if $T \in \mathcal{L}(\mathbf{F}^{n,1}, \mathbf{F}^{m,1})$, then there exists an $m$-by-$n$ matrix $A$ such that $Tx = Ax$ for every $x \in \mathbf{F}^{n,1}$. Let $e_{1},\ldots,e_{n}$ be the standard basis for $F^{n,1}$. Define the $j\text{-th}$ column of $A$ as $Te_{j}$ so $A=(Te_{1},\ldots,Te_{n})$. Thus for any $x=(x_{1},\ldots,x_{n})^{T}$ we have $x=e_{1}x_{1}+\ldots+e_{n}x_{n}$. By linearity of $T$, $Tx=x_{1}Te_{1}+\ldots+x_{n}Te_{n}$. But, $Ax$ is a linear combination of columns of $x$, and $Ax=x_{1}Te_{1}+\ldots+x_{n}Te_{n}$. So $Tx=Ax$ for all $x.$ --- **Problem 16:** Suppose $V$ is finite-dimensional and $T \in \mathcal{L}(V)$. Prove that $T$ is a scalar multiple of the identity if and only if $ST = TS$ for every $S \in \mathcal{L}(V)$. $(\Rightarrow)$ Suppose $T=\lambda I\in \mathcal{L}(V)$ with $\lambda \in \mathbf{F}$. Suppose an $S\in \mathcal{L}(V)$. Then $ ST=S(\lambda I)=\lambda SI=\lambda S=I(\lambda S)=(\lambda I)S=TS $ $(\Leftarrow)$ Suppose $T\in \mathcal{L}(V)$ such $ST=TS$ for all $S\in \mathcal{L}(V)$. **Case 1:** Suppose $Tv\in \text{span}(v)$ for all $v\in V$. Let $v_{1}, \ldots{}, v_{n}$ be a basis of $V$. Then $Tv_{1}=\lambda_{1}v_{1}$ and $Tv_{i}=\lambda_{i}v_{i}$ for some $\lambda_{1},\lambda_{i}\in \mathbf{F}$. Now, consider $T(v_{1}+v_{i})$. $ \begin{align} T(v_{1}+v_{i}) & =\mu(v_{1}+v_{i}) \\ & =\mu v_{1}+\mu v_{i} \\ T(v_{1}+v_{i}) & =Tv_{1}+Tv_{i} \\ & =\lambda v_{1}+\lambda _{i}v_{i} \end{align} $ Thus, $\mu=\lambda_{1}=\ldots=\lambda _{n}$. And for $v\in V$, $Tv=T(\alpha_{1}v_{1}+\ldots+\alpha _{n}v_{n})$= \alpha_{1} \lambda v_{1}+\ldots+ \alpha_{n}\lambda v$=\lambda v$. So, $T$ is a scalar multiple of the identity function. **Case 2:** Suppose $Tv\not\in \text{span}(v)$. Construct a basis $v,Tv,v_{1},\ldots,v_{n}$ to be a basis of $V$. Define $Sv=0,S(Tv)=v,Sv_{i}=0$. Then $S$ is defined on all of $V$ and is a well-defined function. By inspection, $S$ is linear. Observe the following, $STv=S(Tv)=v$ but $TSv=T(Sv)=T(0)=0$ and $ST\neq{}TS$. Thus $Tv$ must be in $\text{span}(v)$ and hence a scalar multiple of the identity function. $\quad \blacksquare{}$ --- **Problem 17:** Suppose $V$ is finite-dimensional and $\mathcal{E}$ is a subspace of $\mathcal{L}(V)$ such that $ST \in \mathcal{E}$ and $TS \in \mathcal{E}$ for all $S \in \mathcal{L}(V)$ and all $T \in \mathcal{E}$. Prove that $\mathcal{E} = \{0\}$ or $\mathcal{E} = \mathcal{L}(V)$. **Case 1:** Suppose $\mathcal{E}=\{ 0 \}$. Then $ST=S0=0$ and $TS=0S=0$. Then we have satisfied that for every $T\in \mathcal{E}$, $ST\in \mathcal{E}$ and $TS\in \mathcal{E}$ for all $S\in \mathcal{L}(V)$. **Case 2:** Suppose $\mathcal{E}=\mathcal{L}(V)$. Let $S\in \mathcal{L}(V),T\in \mathcal{L}(V)=\mathcal{E}$. Then, by composition of linear maps, for any $S,T\in \mathcal{L}(V)$, $ST\in \mathcal{L}(V)=\mathcal{E}$ and $TS\in \mathcal{L}(V)=\mathcal{E}$. **Case 3:** Assume towards a contraction that $\mathcal{E}\subset \mathcal{L}(V)$ with $\mathcal{E}\neq{}\{ 0 \}$. Since $\mathcal{L}(V)$ is finite-dimensional and $\mathcal{E}\neq{}\mathcal{L}(V)$, there must be a non-zero subspace $W$ such that $\mathcal{E}\oplus W=\mathcal{L}(V)$. Since $W\neq{}\{ 0 \}$, suppose $S\in W$ where $Sv\neq{}0$ for some $v_{0}\in V$. Let $v_{0}, v_{1}, \ldots{}, v_{n}$ be of a basis of $V$. Then $\text{range }S=\text{span}(Sv_{0},Sv_{1},\ldots,Sv_{n})$. Since $\mathcal{E}\cap W=\{ 0 \}$ and $S\in W$, then $S\not\in \mathcal{E}$. We will build components of $S$, which individually live in $\mathcal{E}$, but whose sum is equal to $S$ and because $\mathcal{E}$ is a subspace, $S\in \mathcal{E}$. Since $\mathcal{E}\neq{}\{ 0 \}$, there must exist a $T\in \mathcal{E}$ where $Tu=q\neq{}0$ for some $u\in V$. Define $R_{1}\in \mathcal{L}(V)$ where $R_{1}v_{0}=u$ and $R_{2}v_{i}=0$ for $i=1,\ldots,n$. Let $q,q_{1},\ldots,q_{n}$ be a basis to $V$ and define $R_{2}\in \mathcal{L}(V)$ with $R_{2}q=Sv_{0}$ and $R_{2}q_{j}=0$ for $j=1,\ldots,n$. By definition of $\mathcal{E}$, since $R_{1},R_{2}\in \mathcal{L}(V)$, $TR_{1}\in \mathcal{E}$ and hence $R_{2}TR_{1}\in \mathcal{E}$. Note that $ R_{2}TR_{1}v_{0}=Sv_{0} \\ $ and $ R_{2}TR_{1}v_{i}=R_{2}T(0)=0. $ Now, repeat this process for every basis vector $v_{i}$ for $i=0,\ldots,{n}$. Then there exists a $A_{i}\in \mathcal{E}$ where $A_{i}v_{{0}}=Sv_{i}$ and $A_{i}v_{j}=0$ for $j\neq{}i$. Then for every basis vector $v_{j}$ $ \left(\sum _{i=0}^{n}A_{i}\right)v_{j}=A_{j}v_{j}=Sv_{j} $ for $j=0,\ldots,n$. Hence $\sum _{i=0}^{n}A_{i}=S$. Since $\mathcal{E}$ is a subspace and each $A_{i}\in \mathcal{E}$, it follows that $S$ must exist in $\mathcal{E}$, a contradiction. Thus is must be the case that $\mathcal{E}=\mathcal{L}(V)$ or $\mathcal{E}=\{ 0 \}$. $\quad \blacksquare{}$ --- **Problem 18:** Show that $V$ and $\mathcal{L}(\mathbf{F}, V)$ are isomorphic vector spaces. Define $T\in \mathcal{L}(V,\mathcal{L}(\mathbf{F},V))$ such that for any $v\in V$, $Tv=S$ where $S\in \mathcal{L}(\mathbf{F},V)$ with $S(1)=v$. Hence, $ (Tv)(\alpha)=\alpha v $ for all $\alpha \in \mathbf{F}$. We will show that $T$ is a linear map. Suppose $u,v\in V$ then for any $\alpha \in \mathbf{F}$, $T(u+v)(\alpha)=\alpha(u+v)=\alpha u+\alpha v=(Tu)\alpha+(Tv)\alpha$. Thus, $ T(u+v)=Tu+Tv. $ Now suppose $\lambda \in \mathbf{F}$ and $v\in V$. Then $T(\lambda v)(\alpha)=\alpha(\lambda v)=\lambda(\alpha v)=\lambda (Tv)(\alpha)$. Thus $T(\lambda v)=\lambda T(v)$. Now, we will show that $T$ is surjective. Suppose $S\in \mathcal{L}(\mathbf{F},V)$ where $S(1)=v$ for some $v\in V$. Then for any $\alpha \in \mathbf{F}$, $S(\alpha)=\alpha S(1)=\alpha v$. Then by definition of $T$, $(Tv)(\alpha)=\alpha v$. So $(Tv)(\alpha)=S(\alpha)$ for all $\alpha \in \mathbf{F}$ and $Tv=S$. Thus $T$ is surjective. To show that $T$ is injective, suppose $Tu=Tv$ for some $u,v\in V$. Then, $v=(Tv)(1)=(Tu)(1)=u$ hence $v=u$. Thus $T$ is injective and surjective and therefore invertible. Thus, $V$ and $\mathcal{L}(\mathbf{F},V)$ are isomorphic vector spaces.$\quad \blacksquare{}$ --- **Problem 19:** Suppose $T \in \mathcal{L}(\mathcal{P}(\mathbf{R}))$ is such that $T$ is injective and $\deg Tp \leq \deg p$ for every nonzero polynomial $p \in \mathcal{P}(\mathbf{R})$. **(a)** Prove that $T$ is surjective. **(b)** Prove that $\deg Tp = \deg p$ for every nonzero $p \in \mathcal{P}(\mathbf{R})$. **(a)** Consider $T|_{\mathcal{P_{n}(R)}}:\mathcal{P}_{n}(R)\to \mathcal{P}_{n}(R)$. By the degree condition of $T$, we have $T(\mathcal{P}_{n}(R))\subseteq \mathcal{P}_{n}(R)$ which makes the condition well-defined. Since $T$ is injective and for every $p \in \mathcal{P}_{n}(R)$ the image of $p$ on $T$ has $\text{deg }Tp\leq{}n$, then every $Tp \in \mathcal{P}_{n}(R)$. So every pre-image of $T$ must have a unique mapping in $\mathcal{P}_{n}(R)$. Thus, $T|_{\mathcal{P_{n}(R)}}$ must be injective. Since $T|_{\mathcal{P_{n}(R)}}$ is an injective operator on a finite dimensional vector space, $T|_{\mathcal{P_{n}(R)}}$ must also be surjective. Thus, suppose $r\in \mathcal{P}$. Let $n\geq{}\text{deg }p$. Then by surjectivity of $T|_{\mathcal{P_{n}(R)}}$, there must be some $q \in \mathcal{P}$ such that $Tq=r$. Thus, $T$ is surjective. **(b)** Suppose $p \in \mathcal{P}_{n}(R)$ with $\text{deg }p=n$. Suppose towards a contradiction that $\text{deg }Tp<n$. Since $Tp \in \mathcal{P_{n-1}(R)}$ and $T|_{\mathcal{P_{n-1}(R)}}$ is surjective, there must be some $q\in \mathcal{P_{n-1}(R)}$ with $\text{deg }q<n$ such that $T|_{\mathcal{P_{n-1}(R)}}(q)=Tp$. However, $q\neq{}p$ but $Tp=Tq$, a contradiction on the injectiveness of $T$. Thus $\text{deg }Tp=\text{deg }p$. --- **Problem 20:** Suppose $n$ is a positive integer and $A_{i,j} \in \mathbf{F}$ for $i, j = 1, \ldots, n$. Prove that the following are equivalent (note that in both parts below, the number of equations equals the number of variables): **(a)** The trivial solution $x_1 = \cdots = x_n = 0$ is the only solution to the homogeneous system of equations $ \begin{matrix} \begin{gathered} \sum_{k=1}^{n} A_{1,k} x_k = 0 \\ \vdots \\ \sum_{k=1}^{n} A_{n,k} x_k = 0. \end{gathered} \end{matrix} $ **(b)** For every $c_1, \ldots, c_n \in \mathbf{F}$, there exists a solution to the system of equations $ \begin{gathered} \begin{matrix} \sum_{k=1}^{n} A_{1,k} x_k = c_1 \\ \vdots \\ \sum_{k=1}^{n} A_{n,k} x_k = c_n. \end{matrix} \end{gathered} $ The system of equations is equivalent to the function $T\in \mathcal{L}(\mathbf{F}^{n})$ where $ T(x)=Ax. $ If (a) is true then $Tx=0$ only if $x=0$, so $T$ must be injective. Then $T$ must also be surjective since $T$ is an operator on a finite-dimensional vector space. If (b) is true, then there exists an $x$ such that $Tx=(c_{1},\ldots,c_{n})$ for all $c_{1}, \ldots{}, c_{n}\in \mathbf{F}$. So $T$ is surjective. Then $T$ must also be injective since $T$ is an operator. --- _Remember the map representation of the equations are like $T(x_1, \ldots, x_n)=...$_ $ A = \begin{pmatrix} A_{1,1} & A_{1,2} & \cdots & A_{1,n} \\ A_{2,1} & A_{2,2} & \cdots & A_{2,n} \\ \vdots & \vdots & \ddots & \vdots \\ A_{n,1} & A_{n,2} & \cdots & A_{n,n} \end{pmatrix}, \qquad x = \begin{pmatrix} x_1 \\ x_2 \\ \vdots \\ x_n \end{pmatrix} $ $ Ax = \begin{pmatrix} A_{1,1} & A_{1,2} & \cdots & A_{1,n} \\ A_{2,1} & A_{2,2} & \cdots & A_{2,n} \\ \vdots & \vdots & \ddots & \vdots \\ A_{n,1} & A_{n,2} & \cdots & A_{n,n} \end{pmatrix} \begin{pmatrix} x_1 \\ x_2 \\ \vdots \\ x_n \end{pmatrix} = \begin{pmatrix} \sum_{k=1}^{n} A_{1,k}x_k \\ \sum_{k=1}^{n} A_{2,k}x_k \\ \vdots \\ \sum_{k=1}^{n} A_{n,k}x_k \end{pmatrix} $ And utilize the [[3C3 - Matrix Multiplication|linear combination of columns]] representation.