Algebra Qual 2017-09
Problem 1
The additive group
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The additive group ${\bf Z}=({\bf Z},+)$ of rational integers is a subgroup of the additive group ${\bf Q}=({\bf Q},+)$. Show that ${\bf Z}$ has infinite index in ${\bf Q}$.
Problem 2
Suppose
- Prove that an element in
has order dividing 2 if and only if it is its own inverse. - Prove that the number of elements in
of order 2 is odd. - Use (2) to show
must contain a subgroup of order 2.
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Suppose $G$ is a finite group of even order.
\begin{enumerate}[label=\alph*)]
\item Prove that an element in $G$ has order dividing 2 if and only if it is its own inverse.
\item Prove that the number of elements in $G$ of order 2 is odd.
\item Use (b) to show $G$ must contain a subgroup of order 2.
\end{enumerate}
Problem 3
Prove that every Euclidean domain is a principal ideal domain.
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Prove that every Euclidean domain is a principal ideal domain.
Problem 4
Let
- Describe
and , either implicitly (using equations in ) or parametrically. - List the eigenvalues of
and their geometric multiplicities. - Find a basis for each eigenspace of
. - Let
be the matrix for with respect to the standard basis. Find a diagonal matrix and an invertible matrix such that . (You do not have to compute .)
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Let $L$ be the line $L$ parameterized by $L(t)=(2t,-3t,t)$ for $t\in {\bf R}$, and let $T:{\bf R}^3\to {\bf R}^3$ be the linear transformation that is orthogonal projection onto $L$.
\begin{enumerate}[label=\alph*)]
\item Describe $\operatorname{ker}(T)$ and $\operatorname{im}(T)$, either implicitly (using equations in $x,y,z$) or parametrically.
\item List the eigenvalues of $T$ and their geometric multiplicities.
\item Find a basis for each eigenspace of $T$.
\item Let $A$ be the matrix for $T$ with respect to the standard basis. Find a diagonal matrix $B$ and an invertible matrix $S$ such that $B=S^{-1}AS$. (You do not have to compute $A$.)
\end{enumerate}
Problem 5
Suppose
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Suppose $A$ is a $5\times 5$ matrix and $v_1,v_2, v_3$ are eigenvectors of $A$ with distinct eigenvalues. Prove $\{v_1,v_2,v_3\}$ is a linearly independent set. {\itshape Hint:} Consider a minimal linear dependence relation.