Linear Algebra Concepts and Applications

Linear Algebra Concepts and Applications

Assessment

Interactive Video

Mathematics

11th - 12th Grade

Practice Problem

Hard

Created by

Thomas White

FREE Resource

The video tutorial covers the concepts of row and column spaces, null space, basis, and dimension in linear algebra. It explains how row operations affect these spaces and provides examples to illustrate the differences between row and column spaces. The tutorial also delves into the null space, describing it as a subspace of solutions to homogeneous equations. The concept of a basis is introduced as the smallest set of vectors that span a subspace, and the dimension is defined as the number of vectors in a basis. The video concludes with practical examples and theorems connecting these concepts.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens to the row space when row operations are performed?

It becomes zero.

It remains the same.

It doubles.

It changes.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does the column space change with row operations?

It remains unchanged.

It changes.

It becomes zero.

It doubles.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the null space of a matrix?

The set of all solutions to the equation Ax = x.

The set of all solutions to the equation Ax = 0.

The set of all solutions to the equation Ax = 1.

The set of all solutions to the equation Ax = A.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a basis in linear algebra?

A set of vectors that span a space and are linearly independent.

A set of vectors that are linearly independent but do not span a space.

A set of vectors that are linearly dependent.

A set of vectors that are linearly dependent and span a space.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the standard basis for R^n?

Vectors with alternating ones and zeros.

Vectors with all zeros.

Vectors with a single one and the rest zeros.

Vectors with all ones.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you find a basis for the row space of a matrix?

By taking the zero rows after row reduction.

By taking the non-zero rows after row reduction.

By taking the columns with ones.

By taking the columns with zeros.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the relationship between the rank and nullity of a matrix?

Rank plus nullity equals the number of columns.

Rank minus nullity equals the number of columns.

Rank minus nullity equals the number of rows.

Rank plus nullity equals the number of rows.

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