Multivariable calculus: Exercises
09 Partial derivatives, part 1
Exercise 1: Conceptual questions
Let’s mix it up a little and start off with some foundational questions about partial derivatives. I want to make sure you understand what all this stuff means before you start computing things.
Exercise 2: Computing partial derivatives of functions \(f:\mathbb{R}^2\to \mathbb{R}\)
Given a differentiable function \(f:\mathbb{R}^2\to \mathbb{R}\), recall that you can compute the partial derivatives
\[ \frac{\partial f}{\partial x}(x,y) \quad \text{and} \quad \frac{\partial f}{\partial y}(x,y) \]
by holding one variable constant and differentiating the other, just like in single-variable calculus.
Exercise 3: Computing total derivatives of functions \(f:\mathbb{R}^2\to \mathbb{R}\)
If \(f:\mathbb{R}^2\to \mathbb{R}\) is a differentiable function, then as we saw in class, the (total) derivative of \(f\) at a point \((x,y)\) is given by the formula
\[ f'(x,y) = \begin{bmatrix} \displaystyle\frac{\partial f}{\partial x}(x,y) & \displaystyle\frac{\partial f}{\partial y}(x,y) \end{bmatrix}. \]
Exercise 4: Computing tangent planes
Given a differentiable function \(f:\mathbb{R}^2\to \mathbb{R}\), the tangent plane to the graph of \(f\) at a point \((x_0,y_0)\) is the graph of the function
\[ L(x,y) = \frac{\partial f}{\partial x}(x_0,y_0)(x-x_0) + \frac{\partial f}{\partial y}(x_0,y_0)(y-y_0) + f(x_0,y_0). \]