This lesson defines the gradient of a multivariable function as the vector with components given by the partial derivatives. Further, the gradient is the first example of a vector field, a multivariable function with vector outputs. The two main geometric properties of the gradient are demonstrated over several examples including surfaces without symmetries. In these examples, contour plots are plotted to show the relationship between level curves the direction of the gradient.
You are standing at a point where the temperature gradient vector is pointing in the northeast (NE) direction. In which direction(s) should you walk to avoid a change in temperature.
The figure below shows the level curves of a function \(f\) an a path \(\mathbf{r}\text{,}\) traversed from left to right. State whether the derivative \(\frac{d}{dt}f(\mathbf{r}(t)) \) is positive, negative, or zero at the indicated point.