Find the matrix that represents with respect to the standard basis for .
Find a basis for the kernel of .
Determine the rank of .
View code
Let $T:{\bf R}^3\to {\bf R}^3$ be the linear transformation defined by $T\left(\begin{bmatrix} x \\ y \\ z\end{bmatrix}\right) = \begin{bmatrix} x+y \\ 2z-x \\ y+2z\end{bmatrix}$.
\begin{enumerate}[label=\alph*)]
\item Find the matrix that represents $T$ with respect to the standard basis for ${\bf R}^3$.
\item Find a basis for the kernel of $T$.
\item Determine the rank of $T$.
\end{enumerate}
Problem 2
Suppose is a group, a subgroup, and . Prove that the following are equivalent:
View code
Suppose $G$ is a group, $H\leq G$ a subgroup, and $a,b\in G$. Prove that the following are equivalent:
\begin{enumerate}[label=\alph*)]
\item $aH=bH$
\item $b\in aH$
\item $b^{-1}a\in H$
\end{enumerate}
Problem 3
Let be a group and be normal subgroups with . Show that each element in commutes with every element in .
View code
Let $G$ be a group and $H,K\mathrel{\unlhd}G$ be normal subgroups with $H\cap K=\{e\}$. Show that each element in $H$ commutes with every element in $K$.
Problem 4
Let be a commutative ring with unity.
Define what it means for an element in to be prime, and also what it means for an element to be irreducible.
Prove that if is an integral domain, then every prime element is irreducible.
View code
Let $R$ be a commutative ring with unity.
\begin{enumerate}[label=\alph*)]
\item Define what it means for an element in $R$ to be {\bfseries prime}, and also what it means for an element to be {\bfseries irreducible}.
\item Prove that if $R$ is an integral domain, then every prime element is irreducible.
\end{enumerate}
Problem 5
Suppose is a real matrix that satisfies for every .
Show that the only possible eigenvalues of are 0 and 2.
For each , let denote the -eigenspace of , i.e., . Prove that . (Hint: For every vector one can write .)
View code
Suppose $A$ is a real $n\times n$ matrix that satisfies $A^2 {\bf v} = 2A{\bf v}$ for every ${\bf v}\in {\bf R}^n$.
\begin{enumerate}[label=\alph*)]
\item Show that the only possible eigenvalues of $A$ are 0 and 2.
\item For each $\lambda\in {\bf R}$, let $E_{\lambda}$ denote the $\lambda$-eigenspace of $A$, i.e., $E_{\lambda} = \{{\bf v}\in {\bf R}^n\mid A{\bf v}=\lambda {\bf v}\}$. Prove that ${\bf R}^n = E_0\oplus E_2$. ({\itshape Hint:} For every vector ${\bf v}$ one can write ${\bf v}=({\bf v}-\frac{1}{2}A{\bf v})+\frac{1}{2}A{\bf v}$.)
\end{enumerate}