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点积与正交性

点积与正交性

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.

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