Yes, I can solve systems of equations with more variables and constraints, and the process extends beyond just two variables. When dealing with systems involving more variables, the solution techniques like substitution and elimination still apply, but we often turn to more structured methods like Gaussian elimination or matrix methods (such as Cramer's Rule) for efficiency.

Here’s a step-by-step approach for solving larger systems:

1. Methods to Solve Larger Systems:

• Substitution: Can still work but becomes increasingly tedious with more variables. You solve for one variable, substitute into other equations, and repeat.
• Elimination: Aligns coefficients and cancels variables. This is more useful when working with multiple variables.
• Gaussian Elimination: A systematic method of eliminating variables, row by row, using matrix representations.
• Matrix Methods (Cramer's Rule, Inverse Matrix): These are powerful tools for systems with many variables.

Example of a System with Three Variables:

Consider the system of three equations with three variables:

$1. \ 2x + y - z = 5$ $2. \ 3x - 2y + 4z = -1$ $3. \ -x + 3y + 2z = 8$

We can solve this using elimination or Gaussian elimination.

Let me solve this system for $x$, $y$, and $z$.The solution to the system of equations is:

$x = \frac{59}{49}, \quad y = \frac{141}{49}, \quad z = \frac{2}{7}$

These values satisfy all three equations in the system.

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Would you like a breakdown of the method used, or is there anything you'd like to explore further?

Here are some related questions:

1. How is Gaussian elimination used for systems with more than three variables?
2. What are the benefits of using matrix methods like Cramer's rule?
3. How can we interpret the solution geometrically for a system with three variables?
4. What if the system had no solution or infinitely many solutions?
5. How does solving systems of nonlinear equations differ from linear systems?

Tip: For systems with three or more variables, methods like Gaussian elimination and matrix operations (e.g., row reduction) become much more efficient than substitution or elimination by hand.