Minimal Polynomials - Mathematics - Exam, Exams of Mathematics

Main points of this past exam are: Minimal Polynomials, Finite Dimensional Vector Space, Smallest Degree, Similar Matrices, Characteristic, Positive Integer, Dimensional Vector Space

Typology: Exams

2012/2013

Uploaded on 03/31/2013

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Math 518 review for Exam 2 Spring 2002
1. Let T L(V), ma positive integer, vVsuch that Tm1(v)6= 0 but Tm(v) = 0.
Prove that {v, T (v), T 2(v), ..., T m1(v)}is linearly independent.
2. Let Vbe a finite dimensional vector space and T L(V, V ). Suppose that range(T) =
range(T2). Prove that V= range(T)null(T).
3. Let Vbe a finite dimensional vector space, T L(V), and vV. Let pdenote the
monic polynomial of smallest degree such that p(T)(v) = 0. Prove that pdivides the minimal
polynomial of T.
4. Let Vbe a finite dimensional vector space, T, S L(V). show that ST is nilpotent if and
only if T S is nilpotent.
5. Prove that similar matrices have the same characteristic polynomial and the same minimal
polynomial.
6. Let Vbe a finite dimensional vector space, T L(V) with Tm= 0 for some positive integer
M. Show that the only eigenvalue of Tis zero.
7. Let Vbe a finite dimensional vector space, T L(V) such that T2=I. Show that
V=V+V, where V+={vV|T(v) = v}and V={vV|T(v) = v}.
8. Let Vbe a finite dimensional vector space, T L(V). If T2=Twe say Tis a projection.
If T2=Iwe say Tis an involution. Find the minimal polynomials of all projections and all
involutions.
9. Let Pn(C) denote the vector space of polynomials in xwith coefficients in Cand degree
n.
(a) Define D:Pn(C)Pn(C) as D(p(x)) = p0(x). Find the minimal polynomial of D.
(b) Define S:Pn(C)Pn(C) as S(p(x)) = p(x+ 1). Find the minimal polynomial of S.
10. Let Vbe a finite dimensional vector space of n×nmatrices and let T L(V) be defined
as T(A) = At(Tmaps any n×nmatrix to its transpose). Show that the only eigenvalues are
±1 and describe the corresponding eigenspaces.
11. Let T L(V) have characteristic polynomial p(x) = (x1)5(x+ 4)4x2and minimal
polynomial m(x)=(x1)2(x+ 4)3x. Find all possible non-similar Jordan canonical forms of
T.
12. Classify up to similarity all complex 3 ×3 matrices Awith A3=I.
13. For each of the following matrices A, find etA.
(a) "0 1
1 0 #(b)
010
000
001
(c)
0 2 1
1 2 2
0 2 1
(d)
566
1 4 2
364
14. Solve the following systems of differential equations:
(a)y0
1(t) = 2y1(t)y2(t)
y0
2(t) = y1(t)
y1(0) = 0
y2(0) = 1 .
(b)y00(t) = 2y0y y(0) = 0 y0(0) = 1.
15. Previous homework assignments.

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Math 518 review for Exam 2 Spring 2002

  1. Let T ∈ L(V ), m a positive integer, v ∈ V such that T m−^1 (v) 6 = 0 but T m(v) = 0. Prove that {v, T (v), T 2 (v), ..., T m−^1 (v)} is linearly independent.
  2. Let V be a finite dimensional vector space and T ∈ L(V, V ). Suppose that range(T ) = range(T 2 ). Prove that V = range(T ) ⊕ null(T ).
  3. Let V be a finite dimensional vector space, T ∈ L(V ), and v ∈ V. Let p denote the monic polynomial of smallest degree such that p(T )(v) = 0. Prove that p divides the minimal polynomial of T.
  4. Let V be a finite dimensional vector space, T, S ∈ L(V ). show that ST is nilpotent if and only if T S is nilpotent.
  5. Prove that similar matrices have the same characteristic polynomial and the same minimal polynomial.
  6. Let V be a finite dimensional vector space, T ∈ L(V ) with T m^ = 0 for some positive integer M. Show that the only eigenvalue of T is zero.
  7. Let V be a finite dimensional vector space, T ∈ L(V ) such that T 2 = I. Show that V = V+ ⊕ V−, where V+ = {v ∈ V | T (v) = v} and V− = {v ∈ V | T (v) = −v}.
  8. Let V be a finite dimensional vector space, T ∈ L(V ). If T 2 = T we say T is a projection. If T 2 = I we say T is an involution. Find the minimal polynomials of all projections and all involutions.
  9. Let Pn(C) denote the vector space of polynomials in x with coefficients in C and degree ≤ n. (a) Define D : Pn(C) → Pn(C) as D(p(x)) = p′(x). Find the minimal polynomial of D. (b) Define S : Pn(C) → Pn(C) as S(p(x)) = p(x + 1). Find the minimal polynomial of S.
  10. Let V be a finite dimensional vector space of n × n matrices and let T ∈ L(V ) be defined as T (A) = At^ (T maps any n × n matrix to its transpose). Show that the only eigenvalues are ±1 and describe the corresponding eigenspaces.
  11. Let T ∈ L(V ) have characteristic polynomial p(x) = (x − 1)^5 (x + 4)^4 x^2 and minimal polynomial m(x) = (x − 1)^2 (x + 4)^3 x. Find all possible non-similar Jordan canonical forms of T.
  12. Classify up to similarity all complex 3 × 3 matrices A with A^3 = I.
  13. For each of the following matrices A, find etA.

(a)

[ 0 1 − 1 0

] (b)

 

  (c)

 

  (d)

 

 

  1. Solve the following systems of differential equations:

(a)

y 1 ′(t) = 2 y 1 (t) − y 2 (t) y 2 ′(t) = y 1 (t)

y 1 (0) = 0 y 2 (0) = 1

(b) y′′(t) = 2y′^ − y y(0) = 0 y′(0) = 1.

  1. Previous homework assignments.