Math 601 Spring 08 Midterm Practice: Definitions, Theorems, and Problem Solutions - Prof. , Exams of Mathematics

Sample midterm problems for math 601, spring 08, covering concepts such as matrix in row echelon form, determinant, row space and null space, linear independence, orthogonal vectors, rank-nullity theorem, cramer's rule, and finding a matrix representation of a linear transformation. It also includes problems on least squares solutions, orthogonal complements, and determining the distance between a vector and a plane.

Typology: Exams

Pre 2010

Uploaded on 02/10/2009

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Math 601, Spring 08
Midterm practice
These are sample problems similar to what you might find on the Midterm.
Instructions: Show all of your work. Answers without sufficient justification will re-
ceive little or no credit.
1. Define the following concepts
(a) A matrix in row echelon form
(b) The determinant of a matrix
(c) The row space and the null space of a matrix
(d) Linear independence of vectors
(e) Orthogonal vectors in an inner product space.
2. State and prove the Rank-Nullity Theorem.
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Math 601, Spring 08

Midterm practice

These are sample problems similar to what you might find on the Midterm.

Instructions: Show all of your work. Answers without sufficient justification will re- ceive little or no credit.

1. Define the following concepts (a) A matrix in row echelon form (b) The determinant of a matrix (c) The row space and the null space of a matrix (d) Linear independence of vectors _(e) Orthogonal vectors in an inner product space.

  1. State and prove the Rank-Nullity Theorem._

_3. State and prove Cramer’s rule for solving linear systems of equations.

  1. Find a matrix representation of the linear transformation_ L(x 1 , x 2 , x 3 ) = (x 1 + x 2 , x 2 + x 3 , x 3 + x 1 , x 1 + x 2 + x 3 ). Compute the rank, null space and column space of that matrix.