In Exercises 19–22, find the quadratic function y = ax2+bx+c whose graph passes through the given points. (−1, 6), (1, 4), (2, 9)
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- 0. Review of Algebra4h 18m
- 1. Equations & Inequalities3h 18m
- 2. Graphs of Equations1h 43m
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- 4. Polynomial Functions1h 44m
- 5. Rational Functions1h 23m
- 6. Exponential & Logarithmic Functions2h 28m
- 7. Systems of Equations & Matrices4h 5m
- 8. Conic Sections2h 23m
- 9. Sequences, Series, & Induction1h 22m
- 10. Combinatorics & Probability1h 45m
7. Systems of Equations & Matrices
Introduction to Matrices
Problem 11
Textbook Question
Solve each system in Exercises 5–18. 2x−4y+3z=17, x+2y−z=0, 4x−y−z=6
Verified step by step guidance1
Write down the system of equations clearly: .
Choose a variable to eliminate first. For example, solve the second equation for in terms of and : .
Substitute this expression for into the first and third equations to get two equations with only and .
Simplify these two new equations and solve the resulting system of two equations with two variables using substitution or elimination.
Once you find the values of and , substitute them back into the expression for to find the value of .
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Systems of Linear Equations
A system of linear equations consists of two or more linear equations with the same set of variables. The goal is to find values for the variables that satisfy all equations simultaneously. Understanding how to interpret and set up these systems is essential for solving them.
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Methods for Solving Systems of Equations
Common methods to solve systems include substitution, elimination, and matrix techniques such as Gaussian elimination. These methods transform the system into simpler forms to find the values of variables efficiently. Choosing the appropriate method depends on the system's complexity.
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Matrix Representation and Row Operations
Systems of linear equations can be represented as augmented matrices, allowing the use of row operations to simplify and solve the system. Row operations include swapping rows, multiplying a row by a nonzero scalar, and adding multiples of one row to another, which help achieve row-echelon form for back-substitution.
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