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Problem 1

Compute the products. Some of these may be undefined. Exercises marked \(\mathrm{T}\) should be done by using technology. The others should be done in two ways: by hand and by using technology where possible. $\left[\begin{array}{lll}1 & 3 & -1\end{array}\right]\left[\begin{array}{r}9 \\\ 1 \\ -1\end{array}\right]$

Short Answer

Expert verified
The product of the given matrices is a 1x1 matrix with the single value, 13. This result was obtained by both manual multiplication and using technology (Python and NumPy).
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Step 1: Understand matrix multiplication

Matrix multiplication involves multiplying the rows of the first matrix by the columns of the second matrix, and then summing the products. When multiplying a 1x3 matrix and a 3x1 matrix, the result will be a 1x1 matrix (a single number).

Step 2: Multiply the matrices by hand

To multiply the given matrices by hand, we will multiply each element in the row of the first matrix by each corresponding element in the column of the second matrix, and then sum the results: \(\left[\begin{array}{lll}1\times9+3\times1+(-1)\times(-1)\end{array}\right] = \left[\begin{array}{lll}9+3+1\end{array}\right] = \left[\begin{array}{lll}13\end{array}\right]\) So, the product of the given matrices is a 1x1 matrix with the single value, 13.

Step 3: Multiply the matrices using technology

Matrix multiplication can be done using various technology tools, such as calculators, online tools, or programming languages like Python with the NumPy library. Below is an example using Python and NumPy: ```python import numpy as np A = np.array([[1, 3, -1]]) B = np.array([[9], [1], [-1]]) product = np.dot(A, B) print(product) ``` This code will output: ``` [[13]] ``` Which confirms our result from the manual multiplication method. The product of the given matrices is a 1x1 matrix with the single value, 13.

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Most popular questions from this chapter

Chapter 4

Use technology to find the inverse of the given matrix (when it exists). Round all entries in your answer to two decimal places. $$ \left[\begin{array}{rl} 3.56 & 1.23 \\ -1.01 & 0 \end{array}\right] $$

Chapter 4

In Example 3 we said that, if a square matrix \(A\) row-reduces to a matrix with a row of zeros, then it is singular. Why?

Chapter 4

Use row reduction to find the inverses of the given matrices if they exist, and check your answers by multiplication. $$ \left[\begin{array}{rrr} 1 & -1 & 3 \\ 0 & 1 & 3 \\ 1 & 1 & 1 \end{array}\right] $$

Chapter 4

Rotations If a point \((x, y)\) in the plane is rotated counterclockwise about the origin through an angle of \(45^{\circ},\) its new coordinates \(\left(x^{\prime}, y^{\prime}\right)\) are given by $$ \left[\begin{array}{l} x^{\prime} \\ y^{\prime} \end{array}\right]=R\left[\begin{array}{l} x \\ y \end{array}\right] $$ where \(R\) is the \(2 \times 2\) matrix $\left[\begin{array}{rr}a & -a \\ a & a\end{array}\right]\( and \)a=\sqrt{1 / 2} \approx$ a. If the point (2,3) is rotated counterclockwise through an angle of \(45^{\circ},\) what are its (approximate) new coordinates? b. Multiplication by what matrix would result in a counterclockwise rotation of \(90^{\circ} ? 135^{\circ} ?\) (Express the matrices in terms of \(R\).) [HINT: Think of a rotation through \(90^{\circ}\) as two successive rotations through \(45^{\circ} .\) c. Multiplication by what matrix would result in a clockwise rotation of \(45^{\circ} ?\)

Chapter 4

Make up an application whose solution reads as follows: "Total revenue $=\left[\begin{array}{lll}10 & 100 & 30\end{array}\right]\left[\begin{array}{rrr}10 & 0 & 3 \\ 1 & 2 & 0 \\ 0 & 1 & 40\end{array}\right],$

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