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线性无关

线性无关

1. Introduction

Introduction

2. The Definition of Linear Independence

The Definition of Linear Independence

3. Criteria for Linear Independence

Criteria for Linear Independence

4. Pictures of Linear Independence

Pictures of Linear Independence

5. Linear Dependence and Free Variables

Linear Dependence and Free Variables

6. Definition of independence

The vectors v1,…,vkv_1,\ldots,v_k are said to be linearly independent when which statement holds?

7. Spot the dependent set

Which of the following sets of vectors is linearly dependent?

8. Vocabulary: dependence

If some nontrivial linear combination of v1,…,vkv_1,\ldots,v_k equals the zero vector, the vectors are said to be linearly ______ .

9. A dependence relation

The vectors v1=(121)v_1 = \begin{pmatrix}1\\2\\1\end{pmatrix} and v2=(242)v_2 = \begin{pmatrix}2\\4\\2\end{pmatrix} are dependent. Enter weights x1,x2x_1,x_2, not both zero, such that x1v1+x2v2=0x_1v_1 + x_2v_2 = 0 (for example: 2,-1).

10. Largest independent set

Consider the six vectors in R4\mathbb{R}^4

v1=(1−100), v2=(10−10), v3=(100−1), v4=(01−10), v5=(010−1), v6=(001−1).v_1 = \begin{pmatrix}1\\-1\\0\\0\end{pmatrix},\ v_2 = \begin{pmatrix}1\\0\\-1\\0\end{pmatrix},\ v_3 = \begin{pmatrix}1\\0\\0\\-1\end{pmatrix},\ v_4 = \begin{pmatrix}0\\1\\-1\\0\end{pmatrix},\ v_5 = \begin{pmatrix}0\\1\\0\\-1\end{pmatrix},\ v_6 = \begin{pmatrix}0\\0\\1\\-1\end{pmatrix}.

Enter the largest possible number of independent vectors you can choose from this list (a number).

11. Counting against the dimension

A set of 77 vectors in R4\mathbb{R}^4 is given. What can you conclude about its linear dependence?

12. Finish a dependence relation

Find numbers c1,c2c_1, c_2 with c1=2c_1 = 2 such that

2 (1,3)+c2 (2,6)=(0,0).2\,(1,3) + c_2\,(2,6) = (0,0).

Enter the answer as c1,c2c_1,c_2.

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