线性代数 · free preview

Dot Products and Orthogonality

Dot Products and Orthogonality

1. Orthogonality

Orthogonality

2. Introduction

Introduction

3. The Dot Product

The Dot Product

4. Orthogonal Vectors

Orthogonal Vectors

5. Testing for orthogonality

Two nonzero vectors x,yx,y in Rn\mathbb{R}^n are orthogonal exactly when which condition holds?

6. Dot product with a sign slip

What is the dot product

(1−23)⋅(41−1)  ?\begin{pmatrix} 1 \\ -2 \\ 3 \end{pmatrix}\cdot\begin{pmatrix} 4 \\ 1 \\ -1 \end{pmatrix}\;?

7. Vocabulary: unit vector

In one word: a vector xx in Rn\mathbb{R}^n whose length is ∥x∥=x⋅x=1\|x\| = \sqrt{x\cdot x} = 1 is called a ______ vector.

8. Dot product of two vectors

Compute x⋅yx\cdot y for x=(1,−2,3)x = (1,-2,3) and y=(3,1,−2)y = (3,1,-2). Enter a number.

9. Cosine of an angle

The angle α\alpha between two nonzero vectors satisfies cos⁡α=x⋅y∥x∥ ∥y∥\cos\alpha = \dfrac{x\cdot y}{\|x\|\,\|y\|}. Find cos⁡α\cos\alpha for x=(1,2,2)x = (1,2,2) and y=(3,−2,6)y = (3,-2,6). Enter a fraction, for example 3/4.

10. Dot product with itself

For a vector xx in Rn\mathbb{R}^n, the dot product x⋅xx\cdot x equals which quantity?

11. A concrete length

Compute the length ∥x∥\|x\| of the vector x=(2,−1,2)x = (2,-1,2) in R3\mathbb{R}^3. Enter a number.

Practice this interactively

Free account · instant grading · spaced review that schedules itself.

Start this course for free