Vector Operations: Cross and Dot Products

Vector Operations: Cross and Dot Products

Assessment

Interactive Video

Physics

9th - 10th Grade

Hard

Created by

Thomas White

FREE Resource

Professor Dave explains cross products, a method to multiply two vectors resulting in a vector orthogonal to the originals. He demonstrates calculating cross products using determinants and highlights properties like orthogonality, the right-hand rule, and the relationship between cross product magnitude and the area of a parallelogram. Key properties such as non-commutativity and non-associativity are also discussed.

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19 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the result of a dot product of two vectors?

A matrix

A vector

A scalar

A tensor

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main difference between a dot product and a cross product?

Dot product results in a vector, cross product in a scalar

Both result in vectors

Dot product results in a scalar, cross product in a vector

Both result in scalars

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you find the cross product of two vectors A and B?

By finding the determinant of a 3x3 matrix

By multiplying their magnitudes

By adding their components

By subtracting their components

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the result of the cross product of two vectors?

A scalar

A tensor

A matrix

A vector

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the right-hand rule help determine in cross products?

The magnitude of the cross product

The sum of vectors

The direction of the cross product

The angle between vectors

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the orientation of the cross product vector relative to the original vectors?

Opposite

Collinear

Perpendicular

Parallel

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens when you take the cross product of a vector with itself?

It results in zero

It results in a scalar

It results in a vector

It results in a matrix

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