Math Problem Statement

Solve the system of linear equations represented by the given augmented matrix.

Solution

The uploaded image contains an augmented matrix, likely representing a system of linear equations. I will solve it step by step using Gaussian elimination to determine the solutions. Let me interpret the matrix first:

The given matrix is:

2 & 2 & -1 & 1 & | & 7 \\ -1 & 1 & 2 & 3 & | & 3 \\ 3 & -1 & 4 & -1 & | & 31 \\ 1 & 4 & -2 & 2 & | & 2 \end{bmatrix}$$ The vertical bar separates the coefficient matrix from the constants. I will now perform the row reduction to solve this system. ### Steps: 1. Convert the first pivot to 1 by dividing the first row by 2. 2. Eliminate the first entry below the pivot. 3. Continue similarly for subsequent rows and pivots. Let me calculate this and provide the solution.import numpy as np import pandas as pd # Define the augmented matrix from the uploaded image matrix = np.array([ [2, 2, -1, 1, 7], [-1, 1, 2, 3, 3], [3, -1, 4, -1, 31], [1, 4, -2, 2, 2] ], dtype=float) # Perform Gaussian elimination def gaussian_elimination(matrix): rows, cols = matrix.shape for i in range(rows): # Pivoting: normalize the pivot row matrix[i] = matrix[i] / matrix[i, i] # Eliminate other rows' entries in the current column for j in range(rows): if i != j: matrix[j] = matrix[j] - matrix[j, i] * matrix[i] return matrix # Solve the matrix reduced_matrix = gaussian_elimination(matrix) # Extracting the solution solution = reduced_matrix[:, -1] # Display results in a user-friendly manner df_matrix = pd.DataFrame(reduced_matrix, columns=["x1", "x2", "x3", "x4", "Solution"]) import ace_tools as tools; tools.display_dataframe_to_user(name="Reduced Row Echelon Form", dataframe=df_matrix) solutionarray([ 4., 3., 5., -2.])array([ 4., 3., 5., -2.])successThe system of equations has been solved, and the solutions are as follows: - $$x_1 = 4$$ - $$x_2 = 3$$ - $$x_3 = 5$$ - $$x_4 = -2$$ You can view the full reduced row echelon form of the augmented matrix for more details. Let me know if you would like further explanation or any additional assistance. ### Related Questions: 1. Would you like to verify these solutions in the original equations? 2. Do you want an explanation of Gaussian elimination steps in detail? 3. Would you like to explore solving this system using matrix inversion? 4. Can I explain what pivoting does and why it is crucial for Gaussian elimination? 5. Would you like help solving another similar system of equations? ### Tip: Always verify the solutions by substituting them back into the original equations to ensure no arithmetic errors occurred during the process.

Ask a new question for Free

By Image

Drop file here or Click Here to upload

Math Problem Analysis

Mathematical Concepts

Linear Algebra
Gaussian Elimination
Systems of Linear Equations

Formulas

Row operations for Gaussian elimination
Normalization of pivot elements
Back substitution to solve equations

Theorems

Gaussian Elimination Method

Suitable Grade Level

Grades 11-12, College