To solve the system of linear equations, we can use matrix operations or a solver function from a library like NumPy. The equations can be represented in matrix form \(AX = B\), where \(A\) is the coefficient matrix, \(X\) is the variable matrix, and \(B\) is the constant matrix. We can then use NumPy's linalg.solve function to find the values of \(x\) and \(y\).
Step 1: Write the System of Equations
We start with the given system of linear equations:
\[
\begin{array}{l}
3x + 2y = 6 \\
6x + 4y = 16
\end{array}
\]
Step 2: Simplify the Second Equation
Notice that the second equation can be simplified by dividing every term by 2:
\[
6x + 4y = 16 \implies 3x + 2y = 8
\]
Step 3: Compare the Equations
Now we have the simplified system:
\[
\begin{array}{l}
3x + 2y = 6 \\
3x + 2y = 8
\end{array}
\]
Step 4: Analyze the System
We observe that the two equations are:
\[
3x + 2y = 6 \quad \text{and} \quad 3x + 2y = 8
\]
These two equations are contradictory because the same linear combination of \(x\) and \(y\) cannot equal two different constants (6 and 8).
Final Answer
Since the system of equations is inconsistent, there is no solution.