Linear Algebra Quiz

Linear Algebra Quiz

University

10 Qs

quiz-placeholder

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Linear Algebra Quiz

Linear Algebra Quiz

Assessment

Quiz

Mathematics

University

Hard

Created by

Christian Micutuan

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a vector space?

A set of all second-degree polynomials

A set with vector addition and scalar multiplication satisfying certain axioms

A set of all integers

A set of real numbers

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which axiom fails for the set of all integers to be a vector space?

Axiom 3

Axiom 6

Axiom 9

Axiom 1

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the definition of a linear combination of vectors?

A vector that is orthogonal to all other vectors

A vector that can be expressed as a sum of scalar multiples of other vectors

A vector with only direction

A vector with only magnitude

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In Example 7.4, what are the values of a, b, and c for the polynomial u=4x^2-2x+5 as a linear combination of given polynomials?

a=81/70, b=56/35, c=3/35

a=5, b=6, c=7

a=8, b=5, c=3

a=2, b=3, c=5

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which axiom fails for the set of all second-degree polynomials to be a vector space?

Axiom 3

Axiom 9

Axiom 6

Axiom 1

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

The equation Ax = 0 has only the trivial solution

The vectors must be orthogonal to each other

The determinant of the matrix formed by the vectors must be zero

The vectors cannot be written as a linear combination of each other

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a property of linear transformations?

Linear transformations always result in orthogonal vectors

The sum of two linear transformations is not a linear transformation

The product of two linear operators is undefined

The transformation of the sum of two vectors is equal to the sum of the transformations of the vectors

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