Fundamental Exercises in Algebra
        
            In studying for the Algebra Qualifying Exam, 
            these are some exercises you should really really know.
            Most are either common questions on past qualifying exams 
            or popular homework problems chosen from 
            Hungerford’s Algebra.
        
        
            Since these exercises are so fundamental, 
            solutions to many of them can be found 
            either in John Dusel’s notes, 
            or in Kayla Murray’s notes,
            or somewhere online like 
            Math Stack Exchange (MathSE). 
            If you find a solution online,
            you should send me a link so I can post it here.
            Otherwise, if you think it’ll help you study, 
            you can type up a solution and send me a PDF to post here.
            Or better, you can type up your solution on MathSE
            so that other algebra students can easily find it, 
            add to it, comment on it, etc. 
            The MathSE community is going through 
            a bit of a phase right now, though, 
            so it would be a good idea to read over this 
             brief guide to posting on MathSE 
            before writing up your solution there.
        
        
        Linear Algebra
        
        - 
            For a division ring $D$, 
            let $V_i$ be a finite dimensional vector space over $D$
            for $i \in \{1, \dotsc, k\}$. Suppose the sequence 
            $$0 \longrightarrow V_1 \longrightarrow V_2 %
            \longrightarrow \dotsb \longrightarrow V_k \longrightarrow 0$$
            is exact. Prove that $\sum_{i=1}^k (-1)^i \dim_D V_i = 0$.
        
 
        - 
            Prove that if $A$ and $B$ are invertible matrices 
            over a field $\boldsymbol{k}$, 
            then $A+\lambda B$ is invertible 
            for all but finitely many $\lambda \in \boldsymbol{k}$.
        
 
        - 
            For the ring of $n \times n$ matrices  
            over a commutative unital ring $R$,
            which we’ll denote $\mathrm{Mat}_n(R)$,
            recall the definition of the determinant map 
            $\mathrm{det}\colon \mathrm{Mat}_n(R) \to R$.
            For $A \in \mathrm{Mat}_n(R)$ also recall the definition
            of the classical adjoint $A^a$ of $A$.
            Prove that:
            
            - 
                $\mathrm{det}\left(A^a\right) = \mathrm{det}(A)^{n-1}$
            
 
            - 
                $\left(A^a\right)^a = \mathrm{det}(A)^{n-2} A$
            
 
            
         
        - 
            If $R$ is an integral domain 
            and $A$ is an $n \times n$ matrix over $R$,
            prove that if a system of linear equations $Ax = 0$ 
            has a nonzero solution then $\mathrm{det}A = 0$. 
            Is the converse true?
            What if we drop the assumption that $R$ is an integral domain?
        
 
        - 
            What is the companion matrix $M$ of the polynomial 
            $f = x^2 -x+2$ over $\boldsymbol{C}$?
            Prove that $f$ is the minimal polynomial of $M$.
        
 
        - 
            Suppose that $\phi$ and $\psi$ are commuting endomorphisms
            of a finite dimensional vector space $E$ 
            over a field $\boldsymbol{k}$,
            so $\phi\psi = \psi\phi$.
            
            - 
                Prove that if $\boldsymbol{k}$ is algebraically closed,
                then $\phi$ and $\psi$ have a common eigenvector.
            
 
            - 
                Prove that 
                if $E$ has a basis consisting of eigenvectors of $\phi$
                and $E$ has a basis consisting of eigenvectors of $\psi$,
                then $E$ has a basis consisting of vectors that are 
                eigenvectors for both $\phi$ and $\psi$ simultaneously.