3.2 Rational and Jordan canonical form

T:VVT: V \longrightarrow V is a fixed linear transformation on a finite-dimensional vector space VV over a field F,AF, A is an n×nn \times n matrix over F,IF, I denotes the identity transformation and InI_{n} the n×nn \times n identity matrix.

KNOW BASIC DEFINITIONS FOR TT (analogously for AA, interpreted as a linear transformation on V=FnV= F^{n} acting by left multiplication): characteristic polynomial (χT(x)=det(xIT))\left(\chi_{T}(x)=\operatorname{det}(x I-T)\right), characteristic root (root of the characteristic polynomial, λ\lambda such that det(λIT)=0\operatorname{det}(\lambda I-T)=0 ), minimum polynomial μT(x)\mu_{T}(x) (monic polynomial of smallest degree satisfied by TT ); eigenvalue (scalar λF\lambda \in F such that T(v)=λvT(v)=\lambda v for some vector 0vV0 \neq v \in V ) and eigenvector (vector 0vV0 \neq v \in V such that T(v)=λvT(v)=\lambda v for some λF);λ\lambda \in F) ; \lambda-eigenspace Vλ(={vVT(v)=λv}={V_{\lambda}(=\{v \in V \mid T(v)=\lambda v\}=\{ eigenvectors of T with eigenvalue λ}{0});\lambda\} \cup\{0\}) ; generalized eigenvector of order k(={vV(TλI)k(v)=0k\left(=\left\{v \in V \mid(T-\lambda I)^{k}(v)=0\right.\right. but (TλI)k1(v)0}\left.(T-\lambda I)^{k-1}(v) \neq 0\right\}; order 0 means v=0v=0, order 1 means vv is a true eigenvector); generalized λ\lambda - eigenspace VλV^{\lambda} (all generalized eigenvectors); determinant, trace, rank, nullity, Jordan canonical form JCF; r×rr \times r Jordan block Jr(λ)J_{r}(\lambda); rational canonical form RCF for a tranformation TT or matrix AA, invariant factors and companion matrices.

Know the following facts:

(1) eigenvalues == roots of the characteristic polynomial
(det(λIT)=0λIT(\operatorname{det}(\lambda I-T)=0 \Longleftrightarrow \lambda I-T singular, kills some vector v0,λv=T(v)vv \neq 0, \Longleftrightarrow \lambda v=T(v) \Longleftrightarrow v is an eigenvector with eigenvalue λ\lambda );

(2) minimum polynomial divides all polynomials satisfied by TT (it is the generator of the ideal in F[x]F[x] of all polynomials ff satisfying f(T)=0f(T)=0 );

(3) Vλ=ker(TλI),Vλ=kker(TλI)kV_{\lambda}=\operatorname{ker}(T-\lambda I), V^{\lambda}=\bigcup_{k} \operatorname{ker}(T-\lambda I)^{k}.

(4) VV becomes a finitely generated module for the PID F[x]F[x] via the action x.v=T(v)x . v=T(v), so f(x).v:=f(T)(v)f(x) . v:= f(T)(v); then VλV^{\lambda} is just the xλx-\lambda-torsion submodule, and a Jordan block Jr(λ)J_{r}(\lambda) in JCF corresponds to a cyclic direct summand F[x]/((xλ)r)F[x] /\left((x-\lambda)^{r}\right), in the decomposition of VV considered as F[x]F[x]-module;

(5) every polynomial splits into linear factors over some extension field, for example the algebraic closure of FF, so we may have to pass to an extension in order to get enough eigenvalues and eigenvectors;

(6) if d1,,dsd_{1}, \ldots, d_{s} are the (monic) invariant factors of AA such that d1|d2|dsd_{1}\left|d_{2} \ldots\right| d_{s}, then μA(x)=ds\mu_{A}(x)=d_{s} and χA(x)=d1ds\chi_{A}(x)=d_{1} \ldots d_{s} (implying χA(A)=0\chi_{A}(A)=0 (Hamilton-Cayley) and also that χA(x)\chi_{A}(x) divides μA(x)n\mu_{A}(x)^{n} );

(7) the RCF of AA is the direct sum (in the sense of matrices) of the ss companion matrices of the invariant factors d1,,dsd_{1}, \ldots, d_{s} of AA.

Know Criterions for Diagonalizability: TT is diagonalizable
V\Longleftrightarrow V has a basis consisting of eigenvectors of TT
V\Longleftrightarrow V is the (necessarily direct) sum of the eigenspaces VλV_{\lambda}
\Longleftrightarrow for each eigenvalue λ\lambda of T,dimFVλT, \operatorname{dim}_{F} V_{\lambda} equals the multiplicity of λ\lambda as a root of χT(x)\chi_{T}(x)
χT(x)\Longleftrightarrow \chi_{T}(x) splits over FF and the JCF of TT is diagonal
μT(x)\Longleftrightarrow \mu_{T}(x) is separable and splits over FF
KNOW how to find ker(T)\operatorname{ker}(T) (respectively ker(TλI)\operatorname{ker}(T-\lambda I) ):
Gaussian reduction on the system Tx=0T x=0, so in particular
dimker(T)=#\operatorname{dim} \operatorname{ker}(T)=\# free parameters =#=\# columns #-\# leading-one rows =nrk(T)=n-\operatorname{rk}(T).

Know How to Count: If a matrix AA has characteristic polynomial χ(t)=(tλi)fi\chi(t)=\prod\left(t-\lambda_{i}\right)^{f_{i}} and minimum polynomial μ(t)=(tλi)ei\mu(t)=\prod\left(t-\lambda_{i}\right)^{e_{i}}, then fieif_{i} \geq e_{i}; eie_{i} gives the size of the largest Jordan λi\lambda_{i^{-}} block, fif_{i} gives the total sum of the sizes of all Jordan λi\lambda_{i}-blocks. dimker(AλIn)=\operatorname{dim} \operatorname{ker}\left(A-\lambda I_{n}\right)= number of Jordan λ\lambda-blocks == number of independent λ\lambda-eigenvectors (exactly one for each Jordan block), dimker(AλIn)e=\operatorname{dim} \operatorname{ker}\left(A-\lambda I_{n}\right)^{e}= number of independent generalized λ\lambda-eigenvectors of order e\leq e (exactly ee for each Jordan λ\lambda-block of size e\geq e, but only rr for a Jordan λ\lambda-block of size rer \leq e ).

Let T:VVT: V \longrightarrow V denote a fixed linear transformation on a finite-dimensional vector space VV over a field FF. We set n=dimFVn=\operatorname{dim}_{F} V and, for any eigenvalue λ\lambda of T,Nλ:=TλI,ke:=dimF(ker(Nλe))T, N_{\lambda}:=T-\lambda I, k_{e}:=\operatorname{dim}_{F}\left(\operatorname{ker}\left(N_{\lambda}^{e}\right)\right) and re:=rk(Nλe)(=dimF(im(Nλe)))r_{e}:=\operatorname{rk}\left(N_{\lambda}^{e}\right)\left(=\operatorname{dim}_{F}\left(\operatorname{im}\left(N_{\lambda}^{e}\right)\right)\right). We now count as follows:

For a given eigenvalue λ\lambda of TT, the number l=l(λ)l=l(\lambda) of Jordan λ\lambda-blocks is
l=dimker(TλI)=k1=nrk(TλI)=nr1l=\operatorname{dim} \operatorname{ker}(T-\lambda I)=k_{1}=n-\operatorname{rk}(T-\lambda I)=n-r_{1}
The number le=le(λ)l_{e}=l_{e}(\lambda) of Jordan λ\lambda-blocks of size ee is given by the formula
le=2ke(ke1+ke+1)=re12re+re+1l_{e}=2 k_{e}-\left(k_{e-1}+k_{e+1}\right)=r_{e-1}-2 r_{e}+r_{e+1}
Know how to find the JCF and RCF:

(1) Compute the characteristic polynomial,

(2) factor it into irreducibles xλix-\lambda_{i}; FIND JCF FOR EACH EIGENVALUE λi\lambda_{i} SEPARATELY;

(3) (for roots of multiplicity m>1m>1 only) compute ke=dim(ker(Nλe))k_{e}=\operatorname{dim}\left(\operatorname{ker}\left(N_{\lambda}^{e}\right)\right) for e=1,2,me=1,2, \ldots m (stop when dimension reaches m;k1=mm ; k_{1}=m is the condition that there are enough independent ordinary eigenvectors to diagonalize),

(4) le=2keke1ke+1l_{e}=2 k_{e}-k_{e-1}-k_{e+1}.

(5) For the RCF, you have to find the invariant factors of TT. If you already know the JCF, you know the elementary divisors and hence the invariant factors. However, it is sometimes more convenient to derive the invariant factors directly, especially when you know the prime factorization of χT(x)\chi_{T}(x) in F[x]F[x], but not necessarily its roots. For instance, you can then test for which divisors ff of χT(x)\chi_{T}(x) you get f(T)=0f(T)=0 in order to determine the minimal polynomial μT(x)\mu_{T}(x).

Remarks on how to find a Jordan Basis:

(1) This usually involves awkward computations and is therefore not a suitable part of exam problems. It’s different if the given set-up enables you to find a Jordan basis by applying some smart idea instead of boring calculations, e.g. in Problems 17. and 53. below.
Anyhow, the following remarks are sufficient in order to find Jordan bases for "small" matrices AMn(F)A \in M_{n}(F) (or equivalently: PGLn(F)P \in G L_{n}(F) such that P1APP^{-1} A P is in JCF ).

(2) If AA is diagonalizable, just exhibit a basis consisting of eigenvectors, i.e. solve the homogeneous systems of linear equations yielding ker(AλIn)\operatorname{ker}\left(A-\lambda I_{n}\right) for each eigenvalue λ\lambda.

(3) If, for a given eigenvalue λ\lambda, there is only one Jordan λ\lambda-block, which must then be of size m=m= multiplicity of the characteristic root λ\lambda, then choose vv in ker(Nλm)ker(Nλm1)\operatorname{ker}\left(N_{\lambda}^{m}\right) \backslash \operatorname{ker}\left(N_{\lambda}^{m-1}\right), and set v1=Nλm1(v),v2=Nλm2(v),,vm=vv_{1}=N_{\lambda}^{m-1}(v), v_{2}=N_{\lambda}^{m-2}(v), \ldots, v_{m}=v, which yields a Jordan basis for this λ\lambda-block.

(4) If there are exactly two Jordan λ\lambda-blocks, and one of them is of size 1 , then first choose vv in ker(Nλm1)ker(Nλm2)\operatorname{ker}\left(N_{\lambda}^{m-1}\right) \backslash \operatorname{ker}\left(N_{\lambda}^{m-2}\right), and set v2=Nλm2(v),v3=Nλm3(v),,vm=vv_{2}=N_{\lambda}^{m-2}(v), v_{3}=N_{\lambda}^{m-3}(v), \ldots, v_{m}=v. Note that in this case dimVλ=2\operatorname{dim} V_{\lambda}=2 and v2,,vmFVλ=Fv2\left\langle v_{2}, \ldots, v_{m}\right\rangle_{F} \cap V_{\lambda}=F v_{2}. So we may complete the Jordan basis for the λ\lambda-blocks
by choosing v1VλFv2v_{1} \in V_{\lambda} \backslash F v_{2}.

(5) If there are precisely two Jordan λ\lambda-blocks, and both are of size 2 , then dimF(Vλ)=4\operatorname{dim}_{F}\left(V^{\lambda}\right)=4 and k1=2=dimF(Nλ(Vλ))k_{1}=2=\operatorname{dim}_{F}\left(N_{\lambda}\left(V^{\lambda}\right)\right). Now choose a basis v1,v3v_{1}, v_{3} of Nλ(Vλ)N_{\lambda}\left(V^{\lambda}\right) and find v2,v4Vλv_{2}, v_{4} \in V^{\lambda} such that v1=Nλ(v2)v_{1}=N_{\lambda}\left(v_{2}\right) and v3=Nλ(v4)v_{3}=N_{\lambda}\left(v_{4}\right) (the latter amounts to solving inhomogeneous linear equations). It is easily checked that v1,v2,v3,v4v_{1}, v_{2}, v_{3}, v_{4} is now a Jordan basis for the two λ\lambda-blocks.

In Problems 1. - 15. below, describe (up to similarity, using JCF or RCF) all n×nn \times n matrices MM over a specific field FF with given characteristic polynomial χ(t)\chi(t) and/or minimum polynomial μ(t)\mu(t).

  1. (Jan 79#579 \# 5 ) n=n,F=F,μ(t)=n=n, F=F, \mu(t)= product of distinct linear factors (find JCF , find eigenvalues of any polynomial f(M)f(M) ).

  2. (Sep79#1)n=6,F=,μ(t)=(t+2)2(t1)(JCF)(\operatorname{Sep} 79 \# 1) n=6, F=\mathbb{C}, \mu(t)=(t+2)^{2}(t-1)(\mathrm{JCF}).

  3. (Jan81#1)n=8,F=,,χ(t)=t2(t41)(t21)(RCF(\operatorname{Jan} 81 \# 1) n=8, F=\mathbb{C}, \mathbb{R}, \chi(t)=t^{2}\left(t^{4}-1\right)\left(t^{2}-1\right)(\mathrm{RCF} over ,JCF\mathbb{R}, \mathrm{JCF} over )\mathbb{C}).

  4. (Jan82#1;Jan79#1)n=6,F=,χ(t)=(t+2)4(t1)2(JCF)(\operatorname{Jan} 82 \# 1 ; \operatorname{Jan} 79 \# 1) n=6, F=\mathbb{C}, \chi(t)=(t+2)^{4}(t-1)^{2}(\mathrm{JCF}).

  5. (Jan 82#3) n=5,F=,χ(t)=(t2)3(t+7)2,μ(t)=(t2)2(t+7)n=5, F=\mathbb{C}, \chi(t)=(t-2)^{3}(t+7)^{2}, \mu(t)=(t-2)^{2}(t+7) (find trace, determinant, JCF, is it diagonalizable?)

  6. (( Feb 84#4)n=6,F=,μ(t)=(t1)2(t2+1)(84 \# 4) n=6, F=\mathbb{Q}, \mu(t)=(t-1)^{2}\left(t^{2}+1\right)( RCF over ,JCF\mathbb{Q}, \mathrm{JCF} over )\mathbb{C}).

  7. (Jan87#7)n=5,F=,,χ(t)=t5t(RCF(\operatorname{Jan} 87 \# 7) n=5, F=\mathbb{C}, \mathbb{R}, \chi(t)=t^{5}-t(\mathrm{RCF} over ,JCF\mathbb{R}, \mathrm{JCF} over )\mathbb{C}).

  8. (Aug88#2)n=6,F=,,χ(t)=t6t5t2+t(JCF(\operatorname{Aug} 88 \# 2) n=6, F=\mathbb{C}, \mathbb{R}, \chi(t)=t^{6}-t^{5}-t^{2}+t(\mathrm{JCF} over ,RCF\mathbb{C}, \mathrm{RCF} over )\mathbb{R}).

  9. (Jan89#5)n=9,F=F,μ(t)=t2(t1)2(t+1)3(\operatorname{Jan} 89 \# 5) n=9, F=F, \mu(t)=t^{2}(t-1)^{2}(t+1)^{3}.

  10. (May 91#1ab)n=6,F=,μ(t)=t4+t2(RCF91 \# 1 \mathrm{ab}) n=6, F=\mathbb{R}, \mu(t)=t^{4}+t^{2}(\mathrm{RCF} over ,JCF\mathbb{R}, \mathrm{JCF} over )\mathbb{C}).

  11. (May 92 #4) n=6,F=,μ(t)=(t1)2(t2)n=6, F=\mathbb{C}, \mu(t)=(t-1)^{2}(t-2) (JCF).

  12. (Jan 94#194 \# 1 ) n=5,F=,μ(t)=(t2)2(t+3)n=5, F=\mathbb{Q}, \mu(t)=(t-2)^{2}(t+3) (find all RCFs; find two such matrices having the same characteristic polynomial but which are still not similar).

  13. (Jan 95 #4) n=8,F=,χ(t)=t8t4,μ(t)=t6t2n=8, F=\mathbb{C}, \chi(t)=t^{8}-t^{4}, \mu(t)=t^{6}-t^{2} (JCF).

  14. (Aug 95 Comprehensive #6) n=10,F=,μ(t)=(t41)2n=10, F=\mathbb{R}, \mu(t)=\left(t^{4}-1\right)^{2} (find all possible values of kk, the maximum number of independent eigenvectors).

  15. (Aug 96#7) n=7,F=,,χ(t)=(t1)3(t2+1)2,μ(t)=(t1)(t2+1)2n=7, F=\mathbb{C}, \mathbb{R}, \chi(t)=(t-1)^{3}\left(t^{2}+1\right)^{2}, \mu(t)=(t-1)\left(t^{2}+1\right)^{2} (RCF over \mathbb{R}, ,JCF\mathbb{C}, \mathrm{JCF} over )\mathbb{C}).

  16. (April 77#177 \# 1 ) Use JCF to show det(eM)=etrace(M)\operatorname{det}\left(e^{M}\right)=e^{\operatorname{trace}(M)} for any n×nn \times n complex matrix; find eMe^{M} for M=(1101)M=\left(\begin{array}{ll}1 & 1 \\ 0 & 1\end{array}\right).

  17. (Nov 77 #6) Let VV be the real vector space of all polynomials over \mathbb{R} of degree <n<n and T=d/dxT=d / d x the linear operator on VV defined by differentiating. Determine the JCF of TT and exhibit a Jordan basis for TT.

  18. (May 78 #7) Find inverse of (001010100)\left(\begin{array}{lll}0 & 0 & 1 \\ 0 & 1 & 0 \\ 1 & 0 & 0\end{array}\right).

  19. (May 78 #8) F=:M=(0000000000001100)F=\mathbb{C}: M=\left(\begin{array}{cccc}0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 \\ 1 & 1 & 0 & 0\end{array}\right) (find χ(t),μ(t)\chi(t), \mu(t), eigenvalues, JCF).

  20. (Sep 78 #1) Show that the set of 3×33 \times 3 rational matrices commuting with M=(006104012)M=\left(\begin{array}{ccc}0 & 0 & 6 \\ 1 & 0 & 4 \\ 0 & 1 & 2\end{array}\right) form a field.

  21. (Sep 78#278 \# 2 ) n=12,F=GF(3),χ(t)=n=12, F=G F(3), \chi(t)= product of linear factors; find JCF given rank(M)=10,rank(M2)=9,rank(M3)=9,rank(M1)=12,rank(M2)=9,rank((M2)2)=7,rank((M2)3)=6\operatorname{rank}(M) =10, \operatorname{rank}\left(M^{2}\right)=9, \operatorname{rank}\left(M^{3}\right)=9, \operatorname{rank}(M-1)=12, \operatorname{rank}(M-2)=9, \operatorname{rank}\left((M-2)^{2}\right) =7, \operatorname{rank}\left((M-2)^{3}\right)=6.

  22. (May 80#380 \# 3 ) F=:M1=(1000010000100000),M2=(1100010000100000)F=\mathbb{C}: M_{1}=\left(\begin{array}{rrrr}1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & -1 & 0 \\ 0 & 0 & 0 & 0\end{array}\right), M_{2}=\left(\begin{array}{rrrr}1 & -1 & 0 & 0 \\ 0 & -1 & 0 & 0 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 0\end{array}\right) (find JCF and eigenvalues).

  23. (Sep 80#380 \# 3 ) n=4,F=n=4, F=\mathbb{C}, satisfies f(t)=t27t+10f(t)=t^{2}-7 t+10, trace 11 (find determinant, JCF).

  24. (Sep 82 #7) Show two idempotent n×nn \times n matrices are similar iff they are equivalent.

  25. (Sep 82 #8) Give two complex 4×44 \times 4 matrices that have the same minimum and characteristic polynomials, yet are not similar.

  26. (Sep 83#583 \# 5 ) If MM is any 3×33 \times 3 real matrix with characteristic polynomial x3+ax2+bx+cx^{3}+a x^{2}+b x+c, define its adjoint to be M*:=M2+aM+bIM^{*}:=M^{2}+a M+b I and show M*=det(M)M1M^{*}=\operatorname{det}(M) M^{-1} when MM is invertible; show (M*)*=det(M)M\left(M^{*}\right)^{*}=\operatorname{det}(M) M for any MM.

  27. (Sep 83#683 \# 6 ) F=:M1=(0111121100010012),M2=(0101121200010012)F=\mathbb{C}: M_{1}=\left(\begin{array}{rrrr}0 & -1 & -1 & -1 \\ 1 & 2 & 1 & 1 \\ 0 & 0 & 0 & -1 \\ 0 & 0 & 1 & 2\end{array}\right), M_{2}=\left(\begin{array}{rrrr}0 & -1 & 0 & -1 \\ 1 & 2 & 1 & 2 \\ 0 & 0 & 0 & -1 \\ 0 & 0 & 1 & 2\end{array}\right) (find RCF and JCF).

  28. (Sep 84#484 \# 4 ) F=,:D=d/dxF=\mathbb{R}, \mathbb{C}: D=d / d x on V=span{xsin(x),xcos(x),sin(x),cos(x)}V=\operatorname{span}\{x \sin (x), x \cos (x), \sin (x), \cos (x)\} (find χ(t),μ(t)\chi(t), \mu(t), invariant factors, RCF over ,JCF\mathbb{R}, \mathrm{JCF} over )\mathbb{C}).

  29. (Sep 84 #8) Find the determinant and inverse of the n×nn \times n real matrix

(111111222212333123441234n)\left(\begin{array}{rrrrrr} 1 & 1 & 1 & 1 & \ldots & 1 \\ 1 & 2 & 2 & 2 & \ldots & 2 \\ 1 & 2 & 3 & 3 & \ldots & 3 \\ 1 & 2 & 3 & 4 & \ldots & 4 \\ \ldots & \ldots & \ldots & \ldots & \ldots & \ldots \\ 1 & 2 & 3 & 4 & \ldots & n \end{array}\right)

  1. (1985#2)F=:M=(111111110)(1985 \# 2) F=\mathbb{R}: M=\left(\begin{array}{rrr}1 & 1 & 1 \\ -1 & -1 & -1 \\ 1 & 1 & 0\end{array}\right) (find χ(t),μ(t),JCF)\left.\chi(t), \mu(t), \mathrm{JCF}\right).

  2. (Sep 86#386 \# 3 ) Show that linear operators S,TS, T on a finite-dimensional VV are similar if (i) rank(Sm)=rank(Tm)\operatorname{rank}\left(S^{m}\right)=\operatorname{rank}\left(T^{m}\right) for all m=0,1,m=0,1, \ldots, and (ii) Sn=0S^{n}=0 for some nn.

  3. (Fall 87#687 \# 6 ) Find RCF of the 9×99 \times 9 matrix over \mathbb{R} whose JCF is M=Diag{J2(2),J1(2),J2(2),J2(i),J2(i)}M=\operatorname{Diag}\left\{J_{2}(2), J_{1}(2), J_{2}(2), J_{2}(i), J_{2}(-i)\right\}.

  4. (May 89#189 \# 1 ) F=:M=(042141002)F=\mathbb{C}: M=\left(\begin{array}{rrr}0 & 4 & 2 \\ -1 & -4 & -1 \\ 0 & 0 & -2\end{array}\right) (find RCF and JCF ).

  5. (May 89 #9) If an n×nn \times n matrix MM over FF has an elementary divisor λa(aF)\lambda-a(a \in F) show there is an invertible n×nn \times n matrix QQ over FF with Q1MQ=RCF(M)Q^{-1} M Q=\operatorname{RCF}(M) AND det(Q)=1\operatorname{det}(Q)=1.

  6. (Aug 89#789 \# 7 ) n=2,F=GF(2)n=2, F=G F(2), ALL POSSIBLE RCFs.

  7. (May 1990 #7) Explain which of these 8×88 \times 8 matrices are similar.

M1=(0100000012000000000100000000100000000100000000100000000100103030),M2=(100000001100000000i10000000i10000000i00000000i10000000i10000000i),M3=(i10000000i10000000i00000000i00000001i00000001i00000000i100000001).\begin{gathered} M_{1}=\left(\begin{array}{rrrrrrrr} 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 \\ -1 & 2 & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 \\ 0 & 0 & -1 & 0 & -3 & 0 & -3 & 0 \end{array}\right), M_{2}=\left(\begin{array}{rrrrrrrr} 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\ 1 & 1 & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & i & 1 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & i & 1 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & i & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & -i & 1 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & -i & 1 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & -i \end{array}\right), \\ M_{3}=\left(\begin{array}{rrrrrrrr} i & 1 & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & i & 1 & 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & i & 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & i & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 1 & -i & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 1 & -i & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & -i & 1 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 \end{array}\right) . \end{gathered}

  1. (May 91#1c)91 \# 1 \mathrm{c}) Suppose MM has the property that trace(Mk)=0\operatorname{trace}\left(M^{k}\right)=0 for all k>0k>0, and that its minimum polynomial divides t4+t2t^{4}+t^{2}. Show that MM is nilpotent.
    (Imprecise formulation of the problem; assume MMn(F)M \in M_{n}(F) and char(F)=0\operatorname{char}(F)=0 or char(F)>\operatorname{char}(F)> n.)

  2. (Jan 92#592 \# 5 ) n=n,F=Fn=n, F=F, satisfies f(t)=t2tf(t)=t^{2}-t (is idempotent, M2=MM^{2}=M ) (show two such are similar iff they have the same rank).

  3. (May 92#792 \# 7 ) If a real 2×22 \times 2 symmetric matrix MM has limktrace(Mk)=0\lim _{k \rightarrow \infty} \operatorname{trace}\left(M^{k}\right)=0, show limkMk=\lim _{k \rightarrow \infty} M^{k}= 0 too. Does this hold for n×nn \times n real symmetric matrices?

  4. (Sep 93#193 \# 1 ) n=n,F=n=n, F=\mathbb{R}, satisfies f(t)=t3tf(t)=t^{3}-t (is tripotent, M3=MM^{3}=M ) (show two such are similar iff they have the same rank and the same trace).

  5. (Aug 94#4b)n=n,F=94 \# 4 \mathrm{~b}) n=n, F=\mathbb{C}, satisfies f(t)=td1f(t)=t^{d}-1 (has order dd, smallest positive exponent such that Md=I)(JCF)\left.M^{d}=I\right)(\mathrm{JCF}).

  6. (Aug 95#495 \# 4 ) If TT is a diagonalizable linear operator on a finite-dimensional vector space VV and WW is a TT-invariant subspace of VV, prove WW has a TT-invariant complement (a subspace UU such that V=WU)V=W \oplus U).

  7. (Aug 95#595 \# 5 ) F=F=\mathbb{R} : M=(aij)M=\left(a_{i j}\right) with aij=1a_{i j}=1 for iji \leq j and aij=0a_{i j}=0 for i>ji>j (find JCF).

  8. (Jan 97#1)F=,:M=(130020211)97 \# 1) F=\mathbb{R}, \mathbb{C}: M=\left(\begin{array}{rrr}-1 & 3 & 0 \\ 0 & 2 & 0 \\ 2 & 1 & -1\end{array}\right) (find RCF over ,JCF\mathbb{R}, \mathrm{JCF} over \mathbb{C} ).

  9. (Aug 97#1b97 \# 1 \mathrm{~b} ) Let KK be a field containing nn distinct nn-th roots of unity, LL an extension field such that Gal(L/K)\operatorname{Gal}(L / K) is a cyclic group of order nn with generator σ\sigma. Find the Jordan canonical form of σ\sigma.
    Hint: It is proved in field theory (and you may use this here) that LL must be of the form L=K(an)L=K(\sqrt[n]{a}) for some aKa \in K.
    Additional question: If TT denotes multiplication by an\sqrt[n]{a}, considered as a KK-linear transformation of LL, what is the RCF of TT (over KK ) and what is the JCF of TT (over LL )?

  10. (Jan 98#798 \# 7 ) If the n×nn \times n real matrix PP is the transition matrix for a regular Markov chain, then its powers converge to a matrix T=limkPkT=\lim _{k \rightarrow \infty} P^{k} of the form (t1t1t1t2t2t2tntntn)\left(\begin{array}{rrrr}t_{1} & t_{1} & \ldots & t_{1} \\ t_{2} & t_{2} & \ldots & t_{2} \\ \ldots & \ldots & \ldots & \ldots \\ t_{n} & t_{n} & \ldots & t_{n}\end{array}\right) all of whose columns are the same probability vector t\vec{t} (its entries tit_{i} are all nonnegative and sum to 1 ).
    (a) What is the JCF of the limit TT ?
    (b) What are the possible complex eigenvalues of the original PP ?
    (c) What are the possible JCFs of PP ? If you cannot do the general case, do at least the 2×22 \times 2 case.

  11. (Aug 98#698 \# 6 ) Let VV be an nn-dimensional vector space over the complex numbers, and let TT be a linear transformation from VV to itself whose minimum polynomial μ(x)\mu(x) has degree 2 .
    (a) Find all possible Jordan Canonical Forms for TT. (Hint: consider the possible factorizations of μ(x)\mu(x) over KK.)
    (b) Show that VV is a direct sum of TT-invariant subspaces, each of which has dimension less than or equal to 2 .
    (c) Show that TT has an eigenvalue λ\lambda such that the λ\lambda-eigenspace (the set of all eigenvectors for the eigenvalue λ\lambda, together with the zero vector) has dimension at least n/2n / 2.

  12. (Aug 99 #6) Describe (in terms of Jordan form) all 2×22 \times 2 complex matrices which are similar to their square. (Hint: There are more matrices, Horatio, than are dreamt of in your philosophy!)

  13. (Aug 99#799 \# 7 ) (a) Show that the ring of 2n×2n2 n \times 2 n matrices M2n(F)M_{2 n}(F) over a field FF for n1n \geq 1 is "algebraically closed" with respect to polynomials of degree 2 , in the sense that every polynomial p(x)=x2+αx+βF[x]p(x)=x^{2}+\alpha x+\beta \in F[x] of degree 2 has a "root" AM2n(F)A \in M_{2 n}(F) (in the sense that p(A)p(A) is the zero matrix). Can you generalize this to polynomials of degree dd ?
    (b) How many real 2×22 \times 2 matrices AM2()A \in M_{2}(\mathbb{R}) are the roots of the polynomial p(x)=x2+1p(x)=x^{2}+1 ?

  14. (Aug 01#501 \# 5 ) How many non-similar linear transformations TT can there be on an 8 -dimensional real vector space VV having the minimum polynomial μT(t)=(t2)(t3)(t6)3\mu_{T}(t)=(t-2)(t-3)(t-6)^{3} ? List their Jordan canonical forms.

  15. (Aug 01#601 \# 6 ) Consider the linear transformation TT on 3\mathbb{R}^{3} which rotates points around the zz-axis through a fixed angle θ\theta.
    (a) Find the matrix of TT with respect to the canonical basis for 3\mathbb{R}^{3}.
    (b) Find the characteristic polynomial of TT, and factor it into irreducibles (ignore the cases when θ\theta is an integer multiple of π\pi ).
    (c) Find the Jordan canonical form for TT (you may have to pass to complex matrices).

  16. (Aug 02#202 \# 2 ) Show that if for a matrix AMn(K)A \in M_{n}(K) (where KK is a field) there exists a nonzero matrix BMn(K)B \in M_{n}(K) such that AB=0A B=0, then there also exists a nonzero matrix CMn(K)C \in M_{n}(K) such that CA=0C A=0 (in other words, in Mn(K)M_{n}(K) the set of left zero divisors coincides with the set of right zero divisors; note that AB=0A B=0 does not always imply BA=0B A=0 - find such examples!)

  17. (Aug 03#303 \# 3 ) Let P2n1P_{2 n-1} be the vector space of polynomials in one variable xx with real coefficients of degree 2n1\leq 2 n-1. Let TT denote the linear operator on P2n1P_{2 n-1} defined by p(x)p(x)+p(x)p(x) \mapsto p(x)+p^{\prime \prime}(x) for every p(x)P2n1p(x) \in P_{2 n-1}, where pp^{\prime \prime} denotes the second derivative.
    (a)Determine the matrix ATA_{T} of the operator TT with respect to the basis {1,x,x2,,x2n1}\left\{1, x, x^{2}, \ldots, x^{2 n-1}\right\}.
    (b) Find the Jordan canonical form of ATA_{T} AND a Jordan basis for TT.

  18. (Jan 04#304 \# 3 ) Let A,BMn()A, B \in M_{n}(\mathbb{C}) be two commuting matrices. Prove that they have a common eigenvector in n\mathbb{C}^{n}, i.e. there exists a nonzero vnv \in \mathbb{C}^{n} such that Av=λvA v=\lambda v and Bv=μvB v=\mu v for some λ,μ\lambda, \mu \in \mathbb{C}.

  19. (Jan 04 #6) Prove:
    (a) If AMn()A \in M_{n}(\mathbb{R}) is idempotent, then it is diagonalizable.
    (b) Two idempotent matrices A,BMn()A, B \in M_{n}(\mathbb{R}) are similar if and only if they have the same rank.

  20. (Aug 04 #6) Let KK be an arbitrary field ( \rightarrow case distinction!). Classify, up to similarity, all matrices AGL4(K)A \in G L_{4}(K) of order 2. (Use an appropriate canonical form.)

  21. (Aug 04 #7) Consider the group G=SL2(𝔽4)G=S L_{2}\left(\mathbb{F}_{4}\right).
    (a) ( 4 points) Show without specifying any matrix that GG contains an element of order 5 .
    (b) ( 8 points) Exhibit a concrete matrix ASL2(𝔽4)A \in S L_{2}\left(\mathbb{F}_{4}\right) of order 5 . Use 𝔽4={0,1,α,α2}\mathbb{F}_{4}=\left\{0,1, \alpha, \alpha^{2}\right\}, where α\alpha is a root of x2+x+1x^{2}+x+1. Describe in detail how you obtained AA; you shouldn’t just guess! (Hint: You might first factorize x51x^{5}-1 in 𝔽4[x]\mathbb{F}_{4}[x].)

  22. (Jan 05#705 \# 7 ) Let A=(aij)Mn()A=\left(a_{i j}\right) \in M_{n}(\mathbb{Q}) be given by aii=0a_{i i}=0 for all ii and aij=2a_{i j}=2 for all iji \neq j. Determine the Jordan canonical form of AA.

  23. (Aug 05 #6) Let A=Jn(λ)Mn()A=J_{n}(\lambda) \in M_{n}(\mathbb{C}) be a Jordan λ\lambda-block (λ)(\lambda \in \mathbb{C}).
    (a) Determine dim[A]\operatorname{dim}_{\mathbb{C}} \mathbb{C}[A].
    (b) For λ0\lambda \neq 0 and any natural number kk, determine the Jordan canonical form of AkA^{k}.

Include arguments for both parts!
60. (Aug 05 #7) Show that there does not exist any matrix AM10()A \in M_{10}(\mathbb{Q}) satisfying A4=I10A^{4}=-I_{10}.
61. (Jan 06#506 \# 5 and #6) VV is a finite-dimensional FF-vector space, FF a field and T:VVT: V \rightarrow V a linear transformation.

(5) Let T=λId+ZT=\lambda I d+Z for λ\lambda in a field FF of characteristic 0 and ZZ nilpotent. Show that if Tk=IdT^{k}=I d for some k>0k>0 then ZZ must be the zero transformation.

(6) If T(v)FvT(v) \in F v for all vVv \in V, show that T=λIdT=\lambda I d is a "scalar" for some λF\lambda \in F.
62. (Jan 06 #7) Prove: If GG is a finite subgroup of SL2()S L_{2}(\mathbb{C}) then Av=vA v=v for AG,v2A \in G, v \in \mathbb{C}^{2} implies A=I2A=I_{2} or v=0v=0.
63. (Aug 06 #6) Over \mathbb{C}, find the RCF, JCF, the elementary divisors, the invariant factors, the characteristic and the minimal polynomial of:

(013123112)\left(\begin{array}{rrr} 0 & -1 & 3 \\ 1 & 2 & -3 \\ 1 & 1 & -2 \end{array}\right)

  1. (Jan 08#308 \# 3 ) Let VV be an nn-dimensional vector space VV over a finite field FF of qq elements.
    (a) Show that the number of invertible linear operators on VV is i=0n1(qnqi)\prod_{i=0}^{n-1}\left(q^{n}-q^{i}\right).
    (b) Find the cardinality |P||P| of any 3-Sylow subgroup PG=GL(4,𝔽81)P \leq G=\operatorname{GL}\left(4, \mathbb{F}_{81}\right) where n=4n=4 and F=𝔽81F=\mathbb{F}_{81} is the field of q=81q=81 elements.

|P|=|P|=\square

(c) Find the cardinality |P|\left|P^{\prime}\right| of any 3-Sylow subgroup PGP^{\prime} \leq G^{\prime} of the special linear group G=SL(4,𝔽81)G^{\prime}=\operatorname{SL}\left(4, \mathbb{F}_{81}\right) (those invertible 4×44 \times 4 matrices of determinant 1 ) over a field 𝔽81\mathbb{F}_{81} elements.

|P|=\left|P^{\prime}\right|=\square

(d) Describe up to similarity (in terms of Jordan canonical forms) all possible 3-torsion elements TT of the general linear group GL(4,𝔽81)\operatorname{GL}\left(4, \mathbb{F}_{81}\right) : all invertible operators TT with T3e=IdT^{3^{e}}=I d for some e0e \geq 0. For each TT list its minimum polynomial μT(x)\mu_{T}(x) and its 3 -period (the smallest e0e \geq 0 with T3e=IdT^{3^{e}}=I d ). [Hint: all eigenvalues of TT already lie in 𝔽3\mathbb{F}_{3}.]
65. (Aug 08 #1) Let A be the 5-by-5 real matrix A:=[2140002100003000003100003]\mathrm{A}:=\left[\begin{array}{ccccc}2 & 1 & 4 & 0 & 0 \\ 0 & 2 & -1 & 0 & 0 \\ 0 & 0 & 3 & 0 & 0 \\ 0 & 0 & 0 & 3 & 1 \\ 0 & 0 & 0 & 0 & 3\end{array}\right]
a. What is the characteristic polynomial χA(x)\chi_{A}(x) and the minimal polynomial μA(x)\mu_{A}(x) ?
b. Up to similarity, how many matrices B𝕄5×5()B \in \mathbb{M}_{5 \times 5}(\mathbb{R}) have the same characteristic polynomial

χB(x)=χA(x)?\chi_{B}(x)=\chi_{A}(x) ?

c. What is the Jordan Canonical Form of A?
66. (Jan 09#509 \# 5 ) Let FF be an algebraically closed field, and let Mn(F)M_{n}(F) be the ring of n×nn \times n matrices over FF.
(a) Prove that for any AMn(F)A \in M_{n}(F) the centralizer of AA has dimension at least nn. (Hint: look at each Jordan block.)
(b) Describe all matrices AMn(F)A \in M_{n}(F) with the property that every matrix commuting with AA is diagonalizable.
67. (Aug09#5)(\operatorname{Aug} 09 \# 5) (a) Let A=(213124001)M3()A=\left(\begin{array}{lll}2 & 1 & 3 \\ 1 & 2 & 4 \\ 0 & 0 & 1\end{array}\right) \in M_{3}(\mathbb{C}). Find the minimal polynomial, the characteristic polynomial and the Jordan canonical form of AA.
(b) Let Jn(0)Mn()J_{n}(0) \in M_{n}(\mathbb{C}) be the Jordan block of size n2n \geq 2 with 0 ’s on the diagonal. Prove that there exists no matrix AMn()A \in M_{n}(\mathbb{C}) such that A2=Jn(0)A^{2}=J_{n}(0).
68. (Aug 10#510 \# 5 ) Let FF be a field, M2(F)M_{2}(F) the ring of 2×22 \times 2 matrices over FF and GL2(F)G L_{2}(F) the group of invertible elements of M2(F)M_{2}(F).
(a) Prove that two matrices in M2(F)M_{2}(F) are similar if and only if they have the same minimal polynomial.
(b) Assume that FF is finite, and let q=|F|q=|F|. Find the number of conjugacy classes in GL2(F)G L_{2}(F).
(c) Again assume that FF is finite of order qq. Find the number of nilpotent matrices in M2(F)M_{2}(F).

Hint: If AM2(F)A \in M_{2}(F) is nilpotent, what is its Jordan normal form? You may use without proof that |GL2(F)|=(q21)(q2q)\left|G L_{2}(F)\right|=\left(q^{2}-1\right)\left(q^{2}-q\right).
69. (Aug 11 #5) This problem tests some standard linear algebra facts. You can quote standard theorems.

Let FF be a field and let T:F6F6T: F^{6} \rightarrow F^{6} be a linear operator with characteristic polynomial χT(t)=(t2+t+1)(t21)t2\chi_{T}(t)=\left(t^{2}+t+1\right)\left(t^{2}-1\right) t^{2}.
(a) If F=F=\mathbb{R}, what are the various possibilities for the minimal polynomial μT(t)\mu_{T}(t) of TT ?
(b) Determine det(T)\operatorname{det}(T) and trace(T)\operatorname{trace}(T). Be careful about signs!
(c) Write down the companion matrix CC of the polynomial χT(t)\chi_{T}(t). Calculate the minimal polynomial of CC.
(d) When F=F=\mathbb{C}, when is TT diagonalizable (i.e., represented by a diagonal matrix w.r.t. some basis)? Some explanation in terms of χT(t)\chi_{T}(t) or μT(t)\mu_{T}(t) is required.
(e) When F=F=\mathbb{R}, when (if ever) is TT represented by a symmetric matrix? Why?
(f) Bonus: Let S:mmS: \mathbb{C}^{m} \rightarrow \mathbb{C}^{m} be a nilpotent operator which is represented by a matrix in Jordan normal form having blocks of sizes λ1λ2λr1\lambda_{1} \geq \lambda_{2} \geq \cdots \geq \lambda_{r} \geq 1. Let λ=(λ1,,λs)\lambda^{\prime}=\left(\lambda_{1}^{\prime}, \ldots, \lambda_{s}^{\prime}\right) be the partition of mm dual (or transpose) to the partition λ=(λ1,,λr)\lambda=\left(\lambda_{1}, \ldots, \lambda_{r}\right) of mm. What is the significance (in terms of SS ) of the integers λi,i=1,,s\lambda_{i}^{\prime}, i=1, \ldots, s ? (Note: your answer should be precisely one [short] sentence! No further explanation is wanted.)
70. (Jan 12#512 \# 5 ) Let FF be a field, nn a positive integer and Mn(F)M_{n}(F) the set of n×nn \times n matrices over FF. Let AMn(F)A \in M_{n}(F) be such that A2=AA^{2}=A. Prove that AA is diagonalizable and classify all such AA up to similarity. (Recall that A,BMn(F)A, B \in M_{n}(F) are similar if there exists CGLn(F)C \in G L_{n}(F) s.t. C1AC=BC^{-1} A C=B.)
71. (Aug 12#612 \# 6 ) Let pp be an odd prime number and nn an integer 2\geq 2.
(a) Show that GLn()G L_{n}(\mathbb{Q}) has an element of order pp if and only if np1n \geq p-1.
(b) Show that there is an AGLn()A \in G L_{n}(\mathbb{Q}) of order pp which does NOT have 1 as an eigenvalue if and only if p1p-1 divides nn.
(c) Let AGL4()A \in G L_{4}(\mathbb{Q}) be an element of order 5 . Prove that the complex JCF of AA is independent of such AA (up to permutation of blocks) and write it down.
72. (Jan 13#613 \# 6 ) Let FF be an algebraically closed field and AMatn(F)A \in M a t_{n}(F) an n×nn \times n matrix over FF for some n2n \geq 2.
(a) Prove that there exist a diagonalizable matrix DD and a nilpotent matrix NN (that is, Nk=0N^{k}=0 for some kk \in \mathbb{N} ) such that A=D+NA=D+N and DD and NN commute, that is, DN=NDD N=N D.
(b) Assume that AA itself is diagonalizable. Prove that if DD and NN satisfy the conditions of part (a), then N=0N=0 (and hence D=AD=A ). Hint: You may use the following fact without proof: if two diagonalizable matrices XX and YY commute, then they are simultaneously diagonalizable, that is, there exists an invertible matrix QQ such that Q1XQQ^{-1} X Q and Q1YQQ^{-1} Y Q are both diagonal.
73. (Aug 13 #4) Let KK be a field, and let Mn(K)M_{n}(K) be the ring of n×nn \times n matrices with entries in KK. For this problem, let DMn(K)D \in M_{n}(K) be diagonalizable (over KK ) and, for each eigenvalue λ\lambda of DD, let

Eλ:={vKnDv=λv}E_{\lambda}:=\left\{v \in K^{n} \mid D v=\lambda v\right\}

be the corresponding eigenspace.
(a) For any AMn(K)A \in M_{n}(K), show that AD=DAA D=D A if and only if A(Eλ)EλA\left(E_{\lambda}\right) \subseteq E_{\lambda} for all eigenvalues λ\lambda of DD.
(Hint: For the "if" part, you may use that AD=DAA D=D A if ADv=DAvA D v=D A v for all vKnv \in K^{n}.)
(b) If AA is also diagonalizable and AD=DAA D=D A, show that AA and DD are simultaneously diagonalizable (that is, there is a matrix PP such that both PAP1P A P^{-1} and PDP1P D P^{-1} are diagonal). Provide a counter-example showing that this need not be the case if the matrices do not commute.
(c) If DD is invertible, show that the centralizer of DD in GLn(K)G L_{n}(K) is isomorphic to a direct product GLn1(K)××GLnr(K)G L_{n_{1}}(K) \times \ldots \times G L_{n_{r}}(K), where n1++nr=nn_{1}+\ldots+n_{r}=n. Also show that each of these products can be realized as the centralizer of some (appropriately chosen) DD, provided that KK has at least n+1n+1 elements.
74. (Jan 14#114 \# 1 ) Let KK be an algebraically closed field of characteristic 0 . Show that any element of finite order in GLn(K)G L_{n}(K) is diagonalizable. (Hint: Jordan Form!).
75. (Aug 14#414 \# 4 ) Denote by JJ the n×nn \times n Jordan block with eigenvalue 0 . For a positive integer kk, determine the Jordan canonical form of JkJ^{k}. (Hint: you can start by playing with some small values of kk ).
76. (Aug 15 #4) Find the characteristic polynomial, the minimal polynomial, and the Jordan canonical form of the matrix (over the complex numbers)

A=(1201100100201001)A=\left(\begin{array}{cccc} 1 & 2 & 0 & 1 \\ 1 & 0 & 0 & -1 \\ 0 & 0 & 2 & 0 \\ -1 & 0 & 0 & 1 \end{array}\right)

  1. (Aug 15#615 \# 6 ) Let FF be a field and AA an nn by nn matrix with coefficients in FF. Assume that AA has only one invariant factor. Prove that for every nn by nn matrix BB with coefficients in FF such that AB=BAA B=B A there is a polynomial p(t)F[t]p(t) \in F[t] such that p(A)=Bp(A)=B. (Hint: consider the structure of V=FnV=F^{n} as an F[A]F[A]-module. Use that an endomorphism is determined by its action on a basis.)

  2. (Jan 16#516 \# 5 ) Let TT be a linear operator on a finite dimensional vector space VV over a field FF. Prove that

rank(T3)+rank(T)2rank(T2).\operatorname{rank}\left(T^{3}\right)+\operatorname{rank}(T) \geq 2 \cdot \operatorname{rank}\left(T^{2}\right) .

  1. (Jan 16 #9) Let

A=(543103121)A=\left(\begin{array}{ccc} 5 & 4 & 3 \\ -1 & 0 & -3 \\ 1 & -2 & 1 \end{array}\right)

Think of AA as a matrix over the complex numbers. Find a 3 by 3 invertible matrix PP such that P1APP^{-1} A P is in Jordan canonical form.
80. (Aug 16#116 \# 1 ) Consider the 3×33 \times 3 matrix with entries in \mathbb{Q}

A=[021121313]A=\left[\begin{array}{ccc} 0 & -2 & 1 \\ 1 & 2 & -1 \\ 3 & -1 & -3 \end{array}\right]

(a) Describe a field extension FF of \mathbb{Q} of minimal degree (either abstractly, or as a subfield of the complex numbers), such that AA has an eigenvector with entries in FF (note: you do not need to find the eigenvector or eigenvalue).
(b) Determine if AA is diagonalizable over \mathbb{C}.
(c) Does there exist a 3×33 \times 3 matrix with rational coefficients with no eigenvectors over \mathbb{Q} which is not diagonalizable over \mathbb{C} ? Find a counterexample, or prove none exists.
81. (Aug 16#816 \# 8 ) Let n>1n>1 and m>1m>1 be natural numbers, and cc a complex number. Consider the associated n×nn \times n Jordan block

Jn(c)=[c1000c1000c0000c]J_{n}(c)=\left[\begin{array}{ccccc} c & 1 & 0 & \cdots & 0 \\ 0 & c & 1 & \cdots & 0 \\ 0 & 0 & c & \cdots & 0 \\ \vdots & \vdots & \vdots & \ddots & \vdots \\ 0 & 0 & 0 & \cdots & c \end{array}\right]

(a) Show that Jn(c)J_{n}(c) is an mm-th power (i.e., there exists BB such that Jn(c)=BmJ_{n}(c)=B^{m} ) if and only if c0c \neq 0.
(b) Show that any element of GLn()G L_{n}(\mathbb{C}) is an mm th power.
82. (Aug 17#317 \# 3 ) Let pp be a prime, nn a natural number and AGLn(𝔽p)A \in G L_{n}\left(\mathbb{F}_{p}\right) diagonalizable over the algebraic closure 𝔽p¯\overline{\mathbb{F}_{p}}.
(a) (4 points) Show that the order of AA in GLn(𝔽p)G L_{n}\left(\mathbb{F}_{p}\right) is equal to the lcm of the orders of the eigenvalues of AA in 𝔽p¯×{\overline{\mathbb{F}_{p}}}^{\times}.
(b) ( 8 points) Prove that GLn(𝔽p)G L_{n}\left(\mathbb{F}_{p}\right) has an element of order pn1p^{n}-1 which is diagonalizable over 𝔽p¯\overline{\mathbb{F}_{p}}.
(c) ( 4 points) Explicitly construct an element of order 8 of GL2(𝔽3)G L_{2}\left(\mathbb{F}_{3}\right).
83. (Aug 17 #8) Consider the \mathbb{C}-vector space V=M2()V=M_{2}(\mathbb{C}) of complex 2×22 \times 2 matrices and the linear transformation T:VVT: V \longrightarrow V defined by T(X)=AXXAT(X)=A X-X A for all XM2()X \in M_{2}(\mathbb{C}), where AA is the matrix A=(0100)A=\left(\begin{array}{ll}0 & 1 \\ 0 & 0\end{array}\right). Determine (as a 4×44 \times 4 matrix) the Jordan canonical form of TT.
84. (Jan 18 #5) We set M:=M3()M:=M_{3}(\mathbb{Q}) and denote by 0 the zero matrix and by II the identity matrix of MM.
(a) (2 points) Prove or disprove: If AMA \in M satisfies A6=0A^{6}=0, then also A3=0A^{3}=0.
(b) ( 4 points) Classify, up to similarity, all matrices in MM satisfying A6=0A^{6}=0. Exhibit one representative for each such similarity class.
(c) (2 points) Prove or disprove: If AMA \in M satisfies A6=IA^{6}=I, then also A3=IA^{3}=I.
(d) ( 8 points) Classify, up to similarity, all matrices in MM satisfying A6=IA^{6}=I. Exhibit one representative for each such similarity class.
85. (Jan 18 #6) Let n2n \geq 2 be a natural number, FF a field and A=(aij)Mn(F)A=\left(a_{i j}\right) \in M_{n}(F) the matrix with entries aij=j1FFa_{i j}=j \cdot 1_{F} \in F for all 1i,jn1 \leq i, j \leq n.
Determine the characteristic polynomial, the minimal polynomial and the JCF of AA.
Hint: The result may depend on the characteristic of FF.
86. (Aug 18#518 \# 5 ) Let FF be a field and let nn be a natural number.
(a) Let F=F=\mathbb{R}. Classify the matrices AMn()A \in M_{n}(\mathbb{R}) satisfying A3=AA^{3}=A, up to similarity. That is to say, exhibit a matrix in each similarity class satisfying A3=AA^{3}=A.
(b) For an appropriate FF and nn, find a matrix AMn(F)A \in M_{n}(F) which is not diagonalizable and which satisfies A3=AA^{3}=A.
87. (Aug 18#618 \# 6 ) Let p(x)p(x) be a polynomial defined over \mathbb{R}, and suppose that pp takes on rational values at rational numbers. Prove that the coefficients of pp are rational (Hint: use the Vandermonde determinant). Does the statement remain true if the rationals are replaced by the integers?
88. (Jan 19#519 \# 5 ) Let FF be an algebraically closed field, nn \in \mathbb{N} and AGLn×n(F)A \in \mathrm{GL}_{n \times n}(F) an invertible n×nn \times n matrix over FF.
(a) Assume that char(F)2\operatorname{char}(F) \neq 2. Prove that if A2A^{2} is diagonalizable, then AA is also diagonalizable over FF.
(b) Give an example where ch(F)=2,A2\operatorname{ch}(F)=2, A^{2} is diagonalizable, but AA is not diagonalizable.
89. (Aug 19#519 \# 5 ) Let FF be a field, let VV be a vector space over FF of finite dimension nn, and let T:VVT: V \rightarrow V be an FF-linear map.
(a) Assume that FF is algebraically closed. Prove that VV has at least n+1Tn+1 T-invariant subspaces (including 0 and VV )
(b) Give an example showing that if FF is not algebraically closed, the conclusion of (a) may be false.
(c) Now assume that TT is diagonalizable over FF and has nn distinct eigenvalues. Prove that the number of TT-invariant subspaces depends only on nn and find that number.
90. (Jan 20#520 \# 5 ) Let FF be a field and let A,BMatn(F)A, B \in \operatorname{Mat}_{n}(F) for some nn \in \mathbb{N}. Suppose that A2=B2=IA^{2}=B^{2}=I and rk(AI)=rk(BI)\operatorname{rk}(A-I)=\operatorname{rk}(B-I). Prove that AA and BB are similar. Hint: Consider separately the cases charF2\operatorname{char} F \neq 2 and charF=2\operatorname{char} F=2.
91. (Aug 20#520 \# 5 ) Let FF be an algebraically closed field of char F2F \neq 2.
(a) Let JJ be a Jordan block of size nn with eigenvalue λ\lambda over FF. Determine the Jordan canonical form of the matrix J2J^{2}.
Hint: Consider the cases λ=0\lambda=0 and λ0\lambda \neq 0 separately.
(b) Let AMat5(F)A \in \operatorname{Mat}_{5}(F). Determine necessary and sufficient conditions for AA to have a square root, i.e. for there to exist a matrix BMat5(F)B \in M a t_{5}(F) such that A=B2A=B^{2}. State your answer in the form: AA has a square root JCF(A)\Longleftrightarrow J C F(A) satisfies certain conditions. Make sure to prove your answer.
92. (Jan 21#221 \# 2 ) Classify conjugacy classes of matrices AGL7()A \in G L_{7}(\mathbb{Q}) such that A3=IdA^{3}=-I d.
93. (Aug 21#121 \# 1 ) Let nn \in \mathbb{N} and let A=(aij)Matn()A=\left(a_{i j}\right) \in \operatorname{Mat}_{n}(\mathbb{Q}) be the matrix given by aij=ia_{i j}=i for 1i,jn1 \leq i, j \leq n, that is,

A=(111222nnn)A=\left(\begin{array}{cccc} 1 & 1 & \ldots & 1 \\ 2 & 2 & \ldots & 2 \\ \ldots & \ldots & \ldots & \ldots \\ n & n & \ldots & n \end{array}\right)

Compute
(a) The characteristic polynomial of AA
(b) The minimal polynomial of AA
(c) The Jordan canonical form of AA
(d) The rational canonical form of AA
94. (Jan 22 #5) Let VV be a finite-dimensional vector space over an arbitrary field FF (not necessarily algebraically closed!) and T:VVT: V \rightarrow V an FF-linear map. Prove that the following two conditions on TT are equivalent:

(1) The characteristic polynomial and the minimal polynomial of TT coincide

(2) There exists vVv \in V such that VV is spanned by the set {v,T(v),T2(v),}\left\{v, T(v), T^{2}(v), \ldots\right\}

Hint: Consider VV as an F[x]F[x]-module with xx acting as TT and use a suitable structure theorem for such modules.