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6 minutes Warm-Up Find each product.
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4.4 Solving Systems with Matrix Equations
Objectives: Use matrices to solve systems of linear equations in mathematical and real-world situations
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Example 1 Amy has saved $5000 during the past three summers. Now she wants to put some of the money into an investment that earns 4% per year and some into an investment that earns 11% per year. How much money should Amy invest at each interest rate to earn $500 in interest per year? Let x represent the amount invested at 4% Step 3: Write the system as a matrix equation, AX = B Step 4: Solve for the variable matrix, X, by finding the product A-1B Step 2: Write a system of equations Step 1: Choose your variables x + y = 5000 .04x + .11y = 500 Let y represent the amount invested at 11% $ at 4% and $ at 11%
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Example 2 Refer to the system of equations below.
a) Write the system as a matrix equation b) Solve the matrix equation x = - 1.8 y = - 0.1 z = - 0.8
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Example 3 Refer to the system of equations below.
a) Write the system as a matrix equation b) Solve the matrix equation
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Practice Refer to the system of equations below.
a) Write the system as a matrix equation b) Solve the matrix equation
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6 minutes Warm-Up Write each system as a matrix equation. Then solve the system, if possible, by using the matrix equation.
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4.5.1 Using Matrix Row Operations
Objectives: Represent a system of equations as an augmented matrix Perform elementary row operations on matrices
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Matrix Row Operations The row-reduction method of solving a system allows you to determine whether the system is independent, dependent, or inconsistent. The row-reduction method of solving a system is performed on an augmented matrix. An augmented matrix consists of the coefficients and constant terms in the system of equations. System Augmented Matrix
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Matrix Row Operations The goal of the row-reduction method is to transform, if possible, the coefficient columns into columns that form an identity matrix. This is called the reduced row-echelon form of an augmented matrix if the matrix represents an independent system. The resulting constants will represent the unique solution to the system.
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Example 1 Solve the system of equations by using the row-reduction method. Then classify the system. 1 2 16 -3 -21 x = 2; y = 7 independent
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Practice Solve the system of equations by using the row-reduction method. Then classify the system.
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Example 2 Solve the system of equations by using the row-reduction method. Then classify the system. x – 1.4z = 0 y – 0.2z = 0 0 = 1 no solution, inconsistent
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Example 3 Solve the system of equations by using the row-reduction method. Then classify the system. x – z = -1 y + 2z = 3 0 = 0 infinitely many solutions dependent
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Practice Solve the system of equations by using the row-reduction method. Then classify the system.
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