Math Problem Statement
Solution
The image shows a linear system of equations represented by a matrix. To determine if this system has infinitely many solutions, we need to analyze its structure by considering the rank of the coefficient matrix and the number of equations.
Here’s the matrix:
2 & 1 & 0 & 1 \\ 0 & 0 & 3 & 8 \\ 0 & 4 & 0 & 2 \\ 0 & 0 & 0 & 0 \end{pmatrix}$$ ### Analysis: 1. The system has 4 rows and 3 columns in the coefficient matrix (not counting the right-hand side, which represents the constants). 2. The last row is entirely zero, which indicates the presence of a dependent equation, suggesting the system might not be fully independent. 3. The rank of the coefficient matrix (number of non-zero rows in row-reduced form) appears to be 3, which is less than the number of variables (4 variables). ### Solution Characteristics: - Since the rank is less than the number of variables, this is an **underdetermined system**. - Underdetermined systems typically have **infinitely many solutions** because there are free variables. ### Conclusion: The statement "The linear system of equations has infinitely many solutions" is **True**. --- Would you like further details or have any questions? Here are five related questions to deepen your understanding: 1. What is the rank of a matrix, and how does it affect the number of solutions in a system of equations? 2. What is the difference between consistent, inconsistent, and dependent systems in linear algebra? 3. How can Gaussian elimination help to determine whether a system has infinitely many solutions? 4. How does the presence of free variables lead to infinitely many solutions in a system of equations? 5. Can a system have no solution even if there are zero rows in the matrix? **Tip:** When analyzing a matrix, always check for zero rows and compare the number of equations to the number of variables to predict the number of solutions.Ask a new question for Free
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Math Problem Analysis
Mathematical Concepts
Linear Algebra
Matrix Equations
Rank of Matrix
Solution of Linear Systems
Formulas
Rank of a Matrix
Determining free variables in linear systems
Theorems
Rank-Nullity Theorem
Consistent and Inconsistent Systems
Homogeneous and Non-Homogeneous Systems
Suitable Grade Level
Grades 10-12
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