/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 17 Find the value of each determina... [FREE SOLUTION] | 91Ó°ÊÓ

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Find the value of each determinant. $$\left|\begin{array}{rrr} 1 & 2 & 0 \\ -1 & 2 & -1 \\ 0 & 1 & 4 \end{array}\right|$$

Short Answer

Expert verified
The determinant is 17.

Step by step solution

01

- Identify the matrix

The matrix given is a 3x3 matrix: \[\begin{bmatrix} 1 & 2 & 0 \ -1 & 2 & -1 \ 0 & 1 & 4 \end{bmatrix}\]
02

- Use the determinant formula for 3x3 matrix

For a 3x3 matrix \[ A = \begin{bmatrix} a & b & c \ d & e & f \ g & h & i \end{bmatrix} \], the determinant is given by: \[det(A) = a(ei - fh) - b(di - fg) + c(dh - eg)\]
03

- Substitute values into the formula

Substituting the values into the formula gives: \[\begin{vmatrix} 1 & 2 & 0 \ -1 & 2 & -1 \ 0 & 1 & 4 \end{vmatrix} = 1((2)(4) - (-1)(1)) - 2((-1)(4) - (-1)(0)) + 0((-1)(1) - (2)(0))\]
04

- Simplify the expression

Simplify each of the terms inside the expression to obtain: \[1(8 + 1) - 2(-4 - 0) + 0(0 - 0) = 1(9) - 2(-4) + 0(0)\]
05

- Calculate the determinant

Perform the final calculation: \[9 + 8 = 17\]

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Matrix Determinant
A matrix determinant is a unique number that can be calculated from a square matrix. For example, a square 3x3 matrix has the same number of rows and columns. Determinants are crucial in various areas of mathematics, especially in solving systems of linear equations, finding inverses of matrices, and understanding matrix properties.

To find the determinant of a 3x3 matrix, you can use a specific formula. The formula for the determinant of a matrix \[ A = \begin{bmatrix} a & b & c \ d & e & f \ g & h & i \end{bmatrix} \] is:

\[ \text{det}(A) = a(ei - fh) - b(di - fg) + c(dh - eg) \] This formula might look complicated at first, but with some practice, it becomes easier to use.

Let's break down the formula step-by-step:
_ Start with the first element (a) and multiply it by the determinant of the 2x2 matrix that is left when you remove the row and column that contain 'a'. This is expressed as \( ei - fh \).
_ Subtract the product of the second element (b) and the determinant of the smaller 2x2 matrix, \( di - fg \).
_ Finally, add the product of the third element (c) and the determinant of the corresponding 2x2 matrix, \( dh - eg \).

Using this method ensures that you can systematically find a determinant for any 3x3 matrix.
3x3 Matrix
A 3x3 matrix has three rows and three columns. In linear algebra, matrices are used to represent linear transformations and to solve systems of linear equations. Each cell in a matrix contains a number, which can be a whole number, fraction, or even a complex number.

Here’s what the 3x3 matrix from the problem looks like:

\[ \begin{bmatrix} 1 & 2 & 0 \ -1 & 2 & -1 \ 0 & 1 & 4 \ \end{bmatrix} \]

To work with matrices, you need to become comfortable manipulating these grids of numbers. You'll often need to perform operations such as addition and subtraction of matrices, multiplication, and finding determinants.

In the context of determinants, a matrix provides all the elements required for the formula we discussed earlier. It’s important to ensure that each value is placed correctly in the matrix to avoid mistakes when calculating the determinant.

Understanding how to write and interpret a 3x3 matrix is a fundamental skill in linear algebra and essential for solving related problems.
Linear Algebra
Linear algebra is a branch of mathematics focusing on vectors, vector spaces, linear mappings, and systems of linear equations. Determinants and matrices are key components of linear algebra, frequently used in engineering, physics, computer science, and economics to model and solve real-world problems.

Understanding determinants allows you to:
_ Determine whether a system of linear equations has a unique solution.
_ Find the area or volume of geometrical shapes represented by matrices.
_ Solve for the inverse of a matrix, which is critical in many applications.

In this exercise, you learned how to compute the determinant of a 3x3 matrix, a fundamental operation in linear algebra. Determinants help identify properties of matrices and play a significant role in various mathematical concepts and real-life applications.

By mastering core concepts like determinants, matrices, and linear algebra, you will have the tools needed to understand more complex mathematical theories and tackle different types of mathematical problems.

Remember, the terminology and calculations might seem challenging at first, but with practice, you’ll be able to approach these problems confidently.

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Most popular questions from this chapter

Solve each problem. In certain parts of the Rocky Mountains, deer provide the main food source for mountain lions. When the deer population is large, the mountain lions thrive. However, a large mountain lion population reduces the size of the deer population. Suppose the fluctuations of the two populations from year to year can be modeled with the matrix equation $$ \left[\begin{array}{c} m_{n+1} \\ d_{n+1} \end{array}\right]=\left[\begin{array}{rr} 0.51 & 0.4 \\ -0.05 & 1.05 \end{array}\right]\left[\begin{array}{l} m_{n} \\ d_{n} \end{array}\right] $$ The numbers in the column matrices give the numbers of animals in the two populations after \(n\) years and \(n+1\) years, where the number of deer is measured in hundreds. (a) Give the equation for \(d_{n+1}\) obtained from the second row of the square matrix. Use this equation to determine the rate at which the deer population will grow from year to year if there are no mountain lions. (b) Suppose we start with a mountain lion population of 2000 and a deer population of \(500,000\) (that is, 5000 hundred deer). How large would each population be after 1 yr? 2 yr? (c) Consider part (b) but change the initial mountain lion population to \(4000 .\) Show that the populations would both grow at a steady annual rate of 1.01

Use Cramer's rule to solve each system of equations. If \(D=0,\) use another method to determine the solution set. $$\begin{array}{c} 12 x+8 y=3 \\ 1.5 x+y=0.9 \end{array}$$

Solve each problem. Purchasing costs The Bread Box, a small neighborhood bakery, sells four main items: sweet rolls, bread, cakes, and pies. The amount of each ingredient (in cups, except for eggs) required for these items is given by matrix \(A\) Eggs lour Sugar Shortening Milk \(\left.\begin{array}{l|ccccc}\text { Rolls (doz) } & 1 & 4 & \frac{1}{4} & \frac{1}{4} & 1 \\ \text { Bread (loaf) } & 0 & 3 & 0 & \frac{1}{4} & 0 \\ \text { Cake } & 4 & 3 & 2 & 1 & 1 \\ \text { Pie (crust) } & 0 & 1 & 0 & \frac{1}{3} & 0\end{array}\right]=A\) The cost (in cents) for each ingredient when purchased in large lots or small lots is given by matrix \(B\) Large Lot Small Lot \(\left.\begin{array}{l|rr}\text { Eggs } & 5 & 5 \\ \text { Flour } & 8 & 10 \\\ \text { Sugar } & 10 & 12 \\ \text { Shortening } & 12 & 15 \\ \text { Milk } & 5 & 6\end{array}\right]=B\) (a) Use matrix multiplication to find a matrix giving the comparative cost per bakery item for the two purchase options. (b) Suppose a day's orders consist of 20 dozen sweet rolls, 200 loaves of bread, 50 cakes, and 60 pies. Write the orders as a \(1 \times 4\) matrix, and, using matrix multiplication, write as a matrix the amount of each ingredient needed to fill the day's orders. (c) Use matrix multiplication to find a matrix giving the costs under the two purchase options to fill the day's orders.

Use Cramer's rule to solve each system of equations. If \(D=0,\) use another method to determine the solution set. $$\begin{array}{r} x+y=4 \\ 2 x-y=2 \end{array}$$

Use a system of equations to solve each problem. Find the equation of the parabola \(y=a x^{2}+b x+c\) that passes through the points \((2,3),(-1,0),\) and \((-2,2)\)

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