Midterm 3 Checklist Elementary Linear Algebra | MATH 2270, Exams of Algebra

Material Type: Exam; Class: Elementary Linear Algebra; Subject: Math; University: Weber State University; Term: Unknown 1989;

Typology: Exams

Pre 2010

Uploaded on 07/23/2009

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MATH 2270 MIDTERM 3 CHECKLIST
1. Overview
The exam covers 4.4-4.7, 5.1-5.5, and 6.1-6.3. There will be 8 questions, each
worth 5 points. You will be asked to do 5, and the maximum possible score is 25.
The exam will be in our usual room, B4 510, at the usual time of 0800-0850 on
Friday 13 April.
2. What to bring
You will need a writing implement of some kind. Paper will be provided.
3. Homework and the exam
Homework 8 is covered on the exam. Make sure you hand it in by 1700 on the
day of the exam.
4. Calculators
The exam is closed book and calculators are not allowed.
5. Topics List
Statement and proof of the Unique Representation Theorem (Theorem 7, p.
246).
Definition of and computations with PB, the change-of-coordinates matrix.
Definition of isomorphism. Be able to identify when two finite-dimensional
vector spaces are isomorphic. To that end, you need to know the definition of
dimension in the context of a vector space.
Statement and proof of theorems 9 and 10 in 4.5. Statement of theorems 11
and 12 in the same section.
Definition of the rank of a matrix. Computations involving ranks and dimen-
sions of null spaces.
Be able to change bases in Fn. (Re: Theorem 15, p. 273)
Definition and computations with elementary matrices.
Definition and computation of eigenvalues,eigenvectors, and eigenspaces.
This will likely involve the characteristic matrix,polynomial, and equation.
This includes both real and complex eigenvalues.
Statement and use of Theorems 1 and 2 in Section 5.1.
Definition of similar matrices.
Statement and use of Theorem 5, p.320. Thus, you will need to know what it
means for a matrix to be diagonalizable.
Statement and proof of Theorem 6, p.323.
Computations involving different representations of the same linear transfor-
mation.
Definition of inner product and norm in Rn(not Cn).
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MATH 2270 MIDTERM 3 CHECKLIST

  1. Overview The exam covers 4.4-4.7, 5.1-5.5, and 6.1-6.3. There will be 8 questions, each worth 5 points. You will be asked to do 5, and the maximum possible score is 25. The exam will be in our usual room, B4 510, at the usual time of 0800-0850 on Friday 13 April.
  2. What to bring You will need a writing implement of some kind. Paper will be provided.
  3. Homework and the exam Homework 8 is covered on the exam. Make sure you hand it in by 1700 on the day of the exam.
  4. Calculators The exam is closed book and calculators are not allowed.
  5. Topics List
  • Statement and proof of the Unique Representation Theorem (Theorem 7, p. 246).
  • Definition of and computations with PB, the change-of-coordinates matrix.
  • Definition of isomorphism. Be able to identify when two finite-dimensional vector spaces are isomorphic. To that end, you need to know the definition of dimension in the context of a vector space.
  • Statement and proof of theorems 9 and 10 in 4.5. Statement of theorems 11 and 12 in the same section.
  • Definition of the rank of a matrix. Computations involving ranks and dimen- sions of null spaces.
  • Be able to change bases in Fn. (Re: Theorem 15, p. 273)
  • Definition and computations with elementary matrices.
  • Definition and computation of eigenvalues, eigenvectors, and eigenspaces. This will likely involve the characteristic matrix, polynomial, and equation. This includes both real and complex eigenvalues.
  • Statement and use of Theorems 1 and 2 in Section 5.1.
  • Definition of similar matrices.
  • Statement and use of Theorem 5, p.320. Thus, you will need to know what it means for a matrix to be diagonalizable.
  • Statement and proof of Theorem 6, p.323.
  • Computations involving different representations of the same linear transfor- mation.
  • Definition of inner product and norm in Rn^ (not Cn). 1

2 MATH 2270 MIDTERM 3 CHECKLIST

  • Computations involving inner products and norms including Theorem 1, p.376, as well as the notions of distance and orthogonality.
  • Statement of the Pythagorean Theorem (p.380)
  • Computations involving orthogonal and orthonormal sets and bases plus or- thogonal matrices including the statements of Theorems 4, 5, and 6. Also know the proof of Theorem 7.
  • Computations involving orthogonal projections including the statement of the orthogonal decomposition theorem. you will also need to be able to use the best approximation theorem. Both of these results are in 6.3.
  • Pretty much any theoretical or non-applied computational question that has appeared on the homework from the relevant sections.
  1. A Note on Theorem Memorization Unless a given theorem has an established name you need to be familiar with the content of the theorem and how to use it; you do not need to memorize the theorem numbers. In other words, I won’t ask a question along the lines of “State and prove Theorem 1.” I might state the content of one of the theorems and then ask you to prove it. I also might ask you to do a problem which requires knowledge of one of the theorems. In that situation, you can cite the content of a theorem.
  2. Practice Midterm The practice midterm will feature questions similar in style and content to that of the actual exam. Topics covered on the practice midterm may or may not be covered on the actual exam, and topics on the actual exam may or may not have appeared on the practice exam.