Problem 53
Question
For the following exercises, create a system of linear equations to describe the behavior. Then, solve the system for all solutions using Cramer’s Rule. You invest \(\$ 10,000\) into two accounts, which receive 8\(\%\) interest and 5\(\%\) interest. At the end of a year, you had \(\$ 10,710\) in your combined accounts. How much was invested in each account?
Step-by-Step Solution
Verified Answer
Invest $7,000 at 8% and $3,000 at 5%.
1Step 1: Define the Variables
Let's define the variables first. Let \( x \) represent the amount invested at 8\% interest, and \( y \) represent the amount invested at 5\% interest.
2Step 2: Set Up the Equations
We have two conditions. First, the total amount invested is \\(10,000: \[ x + y = 10,000 \]. Second, the total interest earned after a year is \\)710, so \[ 0.08x + 0.05y = 710 \].
3Step 3: Convert the System to Standard Form
Write the system of equations in standard form: 1. \( x + y = 10,000 \)2. \( 0.08x + 0.05y = 710 \)
4Step 4: Set Up Matrices for Cramer's Rule
Define the coefficient matrix \( A \), constant matrix \( C \), and replace matrices for Cramer's Rule:\[ A = \begin{bmatrix} 1 & 1 \ 0.08 & 0.05 \end{bmatrix}, C = \begin{bmatrix} 10000 \ 710 \end{bmatrix} \]
5Step 5: Calculate Determinant of Matrix A
Compute \( \text{det}(A) \):\[ \text{det}(A) = (1)(0.05) - (1)(0.08) = 0.05 - 0.08 = -0.03 \]
6Step 6: Find Determinants for Numerator Matrices
Find determinant for matrix \( A_x \) (replace 1st column of \( A \) with \( C \)):\[ A_x = \begin{bmatrix} 10000 & 1 \ 710 & 0.05 \end{bmatrix} \]\[ \text{det}(A_x) = (10000)(0.05) - (1)(710) = 500 - 710 = -210 \]Find determinant for matrix \( A_y \) (replace 2nd column of \( A \) with \( C \)):\[ A_y = \begin{bmatrix} 1 & 10000 \ 0.08 & 710 \end{bmatrix} \]\[ \text{det}(A_y) = (1)(710) - (10000)(0.08) = 710 - 800 = -90 \]
7Step 7: Calculate the Solution Using Cramer's Rule
Apply Cramer's Rule:\[ x = \frac{\text{det}(A_x)}{\text{det}(A)} = \frac{-210}{-0.03} = 7000 \]\[ y = \frac{\text{det}(A_y)}{\text{det}(A)} = \frac{-90}{-0.03} = 3000 \]
8Step 8: Verify the Solution
Check the solution by substituting back into original equations:- \( x + y = 10,000 \) becomes \( 7000 + 3000 = 10000 \), which is correct.- \( 0.08x + 0.05y = 710 \) becomes \( 0.08(7000) + 0.05(3000) = 560 + 150 = 710 \), which is also correct.
Key Concepts
System of Linear EquationsInterest CalculationMatrix Determinants
System of Linear Equations
Understanding a system of linear equations is essential for tackling problems like determining investment allocations. A system of linear equations involves multiple linear equations working together. Each equation consists of one or more variables. The goal is to find values for these variables that satisfy all equations simultaneously.
In simple terms:
In simple terms:
- A solution to a system of equations is a set of values for the variables that makes all equations true.
- For two variables, you typically have two equations forming a system.
- The first equation, \( x + y = 10,000 \), signifies that the total investment is \(10,000.
- The second equation, \( 0.08x + 0.05y = 710 \), indicates the total interest earned is \)710.
Interest Calculation
Interest calculation is crucial in finance and, in this scenario, helps determine how much money was allocated to each investment account. Here, simple interest is calculated, which is a straightforward method of applying interest based on the initial principal amount.
Simple interest is given by the formula:
Simple interest is given by the formula:
- \[I = P imes r imes t\]
- \( I \): Interest earned
- \( P \): Principal amount (initial investment)
- \( r \): Rate of interest (expressed as a decimal)
- \( t \): Time period
- For the investment at 8% (0.08), the expected interest for \( x \) dollars after one year is \( 0.08x \).
- For the investment at 5% (0.05), the interest for \( y \) dollars is \( 0.05y \).
Matrix Determinants
Matrix determinants are mathematical values calculated from a square matrix, crucial for solving systems of equations using Cramer's Rule. A determinant lets us determine if a system of equations has a unique solution.
To compute a determinant for a 2x2 matrix:
To compute a determinant for a 2x2 matrix:
- For a matrix \[\begin{bmatrix} a & b \ c & d \end{bmatrix}\]
- \[a \times d - b \times c\]
- \[\begin{bmatrix} 1 & 1 \ 0.08 & 0.05 \end{bmatrix}\]
- \[1 \times 0.05 - 1 \times 0.08 = 0.05 - 0.08 = -0.03\]
- \( A_x \) and \( A_y \) are determinant matrices used to solve for \( x \) and \( y \).
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