-59 4 - 29 a. Is b in (a₁, a2, a3}? How many vectors are in {a₁, a2, a3}? b. Is b in W? How many vectors are in W? c. Show that a2 is in W. [Hint: Row operations are unnecessary.] a. Is b in (a₁, a2, a3}? Select the correct choice below and, if necessary, fill in the answer box(es) to complete your choice. A. No, b is not in (a₁, a2, a3} since b is not equal to a₁, a2, or a3. B. Yes, b is in (a₁, a2, a3} since b = a (Type a whole number.) OC. Yes, b is in (a₁, a2, a3} since, although b is not equal to a₁, a2, or a3, it can be expressed as a linear combination of them. In particular, b = (a₁ + a₂ + ( )a3. (Simplify your answers.) OD. No, b is not in (a₁, a2, a3} since it cannot be generated by a linear combination of a₁, a2, and a3. How many vectors are in (a₁, a2, a3}? Select the correct choice below and, if necessary, fill in the answer box to complete your choice. A. There is(are) 3 vector(s) in (a₁, a2, a3}. (Type a whole number.) OB. There are infinitely many vectors in (a₁, a2, a3). b. Is b in W? Select the correct choice below and, if necessary, fill in the answer box(es) to complete your choice. OA. No, b is not in W since b is not equal to a₁, a2, or a3. OB. Yes, b is in W since, although b is not equal to a₁, a2, or a3, it can be expressed as a linear combination of them. In particular, b = (a₁ + a₂ + ( )a3. (Simplify your answers.) OC. Yes, b is in W since b=a (Type a whole number.) OD. No, b is not in W since it cannot be generated by a linear combination of a₁, a2, and a3.

Trigonometry (MindTap Course List)
8th Edition
ISBN:9781305652224
Author:Charles P. McKeague, Mark D. Turner
Publisher:Charles P. McKeague, Mark D. Turner
Chapter7: Triangles
Section: Chapter Questions
Problem 1RP: We mentioned in Section 7.5 that our algebraic treatment of vectors could be attributed, in part, to...
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# Linear Algebra: Vector Spaces and Span

## Given Problem:
Let 
\[ A = \begin{bmatrix} 
1 & 0 & -6 \\
0 & 3 & -5 \\
-5 & 9 & 4 
\end{bmatrix} \]

and 
\[ b = \begin{bmatrix}
9 \\
-2 \\
-29 
\end{bmatrix} \]

Denote the columns of A by \(\mathbf{a_1}\), \(\mathbf{a_2}\), \(\mathbf{a_3}\), and let \(W = \text{Span}\{\mathbf{a_1}, \mathbf{a_2}, \mathbf{a_3}\}\).

### Questions:

1. **Is \(\mathbf{b}\) in \(\{\mathbf{a_1}, \mathbf{a_2}, \mathbf{a_3}\}\)? How many vectors are in \(\{\mathbf{a_1}, \mathbf{a_2}, \mathbf{a_3}\}\)?**

2. **Is \(\mathbf{b}\) in \(W\)? How many vectors are in \(W\)?**

3. **Show that \(\mathbf{a_2}\) is in \(W\). [Hint: Row operations are unnecessary.]**

---

### Solution:

**a. Is \(\mathbf{b}\) in \(\{\mathbf{a_1}, \mathbf{a_2}, \mathbf{a_3}\}\)? Select the correct choice below and, if necessary, fill in the answer box(es) to complete your choice.**

- **A.** No, \(\mathbf{b}\) is not in \(\{\mathbf{a_1}, \mathbf{a_2}, \mathbf{a_3}\}\) since \(\mathbf{b}\) is not equal to \(\mathbf{a_1}\), \(\mathbf{a_2}\), or \(\mathbf{a_3}\). ✔

- **B.** Yes, \(\mathbf{b}\) is in \(\{\mathbf{a_1}, \mathbf{a_2}, \mathbf{a_3}\}\) since \(\mathbf{b} = a\). 

  \[\text{(Type a whole number.)}\]

- **C.
Transcribed Image Text:# Linear Algebra: Vector Spaces and Span ## Given Problem: Let \[ A = \begin{bmatrix} 1 & 0 & -6 \\ 0 & 3 & -5 \\ -5 & 9 & 4 \end{bmatrix} \] and \[ b = \begin{bmatrix} 9 \\ -2 \\ -29 \end{bmatrix} \] Denote the columns of A by \(\mathbf{a_1}\), \(\mathbf{a_2}\), \(\mathbf{a_3}\), and let \(W = \text{Span}\{\mathbf{a_1}, \mathbf{a_2}, \mathbf{a_3}\}\). ### Questions: 1. **Is \(\mathbf{b}\) in \(\{\mathbf{a_1}, \mathbf{a_2}, \mathbf{a_3}\}\)? How many vectors are in \(\{\mathbf{a_1}, \mathbf{a_2}, \mathbf{a_3}\}\)?** 2. **Is \(\mathbf{b}\) in \(W\)? How many vectors are in \(W\)?** 3. **Show that \(\mathbf{a_2}\) is in \(W\). [Hint: Row operations are unnecessary.]** --- ### Solution: **a. Is \(\mathbf{b}\) in \(\{\mathbf{a_1}, \mathbf{a_2}, \mathbf{a_3}\}\)? Select the correct choice below and, if necessary, fill in the answer box(es) to complete your choice.** - **A.** No, \(\mathbf{b}\) is not in \(\{\mathbf{a_1}, \mathbf{a_2}, \mathbf{a_3}\}\) since \(\mathbf{b}\) is not equal to \(\mathbf{a_1}\), \(\mathbf{a_2}\), or \(\mathbf{a_3}\). ✔ - **B.** Yes, \(\mathbf{b}\) is in \(\{\mathbf{a_1}, \mathbf{a_2}, \mathbf{a_3}\}\) since \(\mathbf{b} = a\). \[\text{(Type a whole number.)}\] - **C.
### Educational Resource on Linear Combinations of Vectors

### Problem Statement
Use the accompanying figure to write each vector listed as a linear combination of vectors **u** and **v**.

Vectors **b**, **w**, **x**, and **y**

![Vector Diagram](image_url)

**Write **b** as a linear combination of **u** and **v**.**

\[ \mathbf{b} = (\_\_\_\_) \mathbf{u} + (\_\_\_\_) \mathbf{v} \]

(Type integers or decimals.)

### Explanation of the Diagram

The diagram provided in the figure consists of vectors with their linear combinations represented on a grid. Each vector is positioned relative to vectors **u** and **v** along their respective axes. 

We see a central origin point **0** with the following vectors and positions in relation to **u** and **v**:

- **u**: A unit vector along the positive x-axis.
- **v**: A unit vector along the positive y-axis.
- **b**: Positioned at the intersection of the grid lines representing 0.5 units of **u** and 1 unit of **v**.

Some other vectors shown for reference are:

- **d**, **c**, **a**: Various other vector positions.
- **w**, **x**, **y**, **z**: Other vectors to be expressed as combinations of **u** and **v**.

### Example Calculation

#### Vector **b**

To express vector **b** as a linear combination of **u** and **v**:

1. **b** is located at a point which, in terms of vector addition, can be represented as:
   - **0.5** units in the direction of **u** (along the x-axis).
   - **1** unit in the direction of **v** (along the y-axis).

Thus, vector **b** can be written as:

\[ \mathbf{b} = 0.5 \mathbf{u} + 1 \mathbf{v} \]

### Interactive Component

You can now type the values into the provided fields to check your understanding:

\[ \mathbf{b} = (\_\_\_\_) \mathbf{u} + (\_\_\_\_) \mathbf{v} \]

Remember to type integers or decimals.

---

This exercise explains how to break down vectors into linear combinations of basis vectors, enhancing your understanding
Transcribed Image Text:### Educational Resource on Linear Combinations of Vectors ### Problem Statement Use the accompanying figure to write each vector listed as a linear combination of vectors **u** and **v**. Vectors **b**, **w**, **x**, and **y** ![Vector Diagram](image_url) **Write **b** as a linear combination of **u** and **v**.** \[ \mathbf{b} = (\_\_\_\_) \mathbf{u} + (\_\_\_\_) \mathbf{v} \] (Type integers or decimals.) ### Explanation of the Diagram The diagram provided in the figure consists of vectors with their linear combinations represented on a grid. Each vector is positioned relative to vectors **u** and **v** along their respective axes. We see a central origin point **0** with the following vectors and positions in relation to **u** and **v**: - **u**: A unit vector along the positive x-axis. - **v**: A unit vector along the positive y-axis. - **b**: Positioned at the intersection of the grid lines representing 0.5 units of **u** and 1 unit of **v**. Some other vectors shown for reference are: - **d**, **c**, **a**: Various other vector positions. - **w**, **x**, **y**, **z**: Other vectors to be expressed as combinations of **u** and **v**. ### Example Calculation #### Vector **b** To express vector **b** as a linear combination of **u** and **v**: 1. **b** is located at a point which, in terms of vector addition, can be represented as: - **0.5** units in the direction of **u** (along the x-axis). - **1** unit in the direction of **v** (along the y-axis). Thus, vector **b** can be written as: \[ \mathbf{b} = 0.5 \mathbf{u} + 1 \mathbf{v} \] ### Interactive Component You can now type the values into the provided fields to check your understanding: \[ \mathbf{b} = (\_\_\_\_) \mathbf{u} + (\_\_\_\_) \mathbf{v} \] Remember to type integers or decimals. --- This exercise explains how to break down vectors into linear combinations of basis vectors, enhancing your understanding
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