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Linear Algebra Quiz

Authored by Zainab Barrie

Mathematics

University

Used 2+ times

Linear Algebra Quiz
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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does it mean for a set of vectors to span R3?

They are linearly dependent

They are orthogonal to each other

They are linearly independent

They can construct any vector in R3

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the condition for a set of vectors to be linearly independent?

The vectors are in the same plane

The vectors are orthogonal to each other

The solution to the linear combination is non-zero

The only solution to the linear combination is when all constants are zero

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If a set of three vectors span R3, what can be said about their linear independence?

They are always linearly independent

They are always linearly dependent

They can be either linearly independent or dependent

Their linear independence cannot be determined

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the result of a linear combination of the three vectors when a, b, and c are all zero?

The result is always the zero vector

The result is always a non-zero vector

The result is undefined

The result is a scalar multiple of one of the vectors

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If a set of three vectors are linearly independent, what can be concluded about their span?

They span R3

Their span cannot be determined

They do not span R3

They span a lower-dimensional space

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the condition for a set of vectors to be linearly dependent?

The only solution to the linear combination is when all constants are zero

The solution to the linear combination is non-zero

The vectors are orthogonal to each other

The vectors are in the same plane

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If a set of three vectors do not span R3, what can be said about their linear independence?

Their linear independence cannot be determined

They can be either linearly independent or dependent

They are always linearly dependent

They are always linearly independent

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