Step 1: Gradient of function.
\[
\nabla f = \left( \frac{\partial f}{\partial x_1}, \frac{\partial f}{\partial x_2} \right)
\]
\[
\frac{\partial f}{\partial x_1} = 2x_1 + x_2 + 3
\]
\[
\frac{\partial f}{\partial x_2} = 4x_2 + x_1 + 3
\]
Step 2: Evaluate at (1,1).
\[
\frac{\partial f}{\partial x_1} = 2(1) + 1 + 3 = 6
\]
\[
\frac{\partial f}{\partial x_2} = 4(1) + 1 + 3 = 8
\]
So gradient = (6, 8).
Step 3: Maximum rate of change.
Magnitude of gradient =
\[
|\nabla f| = \sqrt{6^2 + 8^2} = \sqrt{36+64} = \sqrt{100} = 10
\]
Correction: Exactly 10, not 9.
Final Answer:
\[
\boxed{10}
\]
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