Parameterizing Solution Sets Using Vectors

Parameterizing Solution Sets Using Vectors

Assessment

Interactive Video

Mathematics

9th - 12th Grade

Hard

Created by

Olivia Brooks

FREE Resource

The video tutorial explains how to solve a system of equations and parameterize the solution set using vectors or column matrices. It begins by setting up an augmented matrix and using technology to reduce it to row echelon form. The presence of a row of zeros indicates infinite solutions, which are parameterized using the variable z. The solution is expressed in terms of column matrices, factoring out the variable z to show the solution set in vector form.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary goal when asked to parameterize a solution set using vectors?

To find a single unique solution

To express the solution set in terms of a parameter

To eliminate all variables

To convert the system into a quadratic equation

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which tool is suggested for converting an augmented matrix into reduced row echelon form?

Microsoft Excel

Graphing Calculator

Desmos Matrix Calculator

Python Programming

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a row of zeros in the reduced row echelon form indicate?

No solution exists

A unique solution exists

An infinite number of solutions exist

The system is inconsistent

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the variable z used in parameterizing the solution set?

As a divisor

As a parameter

As a coefficient

As a constant

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the expression for x in terms of z after solving the first equation?

x = 1 - 5z

x = -1 - 5z

x = -1 + 5z

x = 5z - 1

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the expression for y in terms of z after solving the second equation?

y = -3 - z

y = 3 - z

y = 3 + z

y = z - 3

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the solution set expressed using column matrices?

As a product of two matrices

As a sum of two matrices

As a difference of two matrices

As a single matrix

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