Calculus 3 covers advanced topics in multivariable calculus, including partial derivatives, multiple integrals, and vector calculus.
A vector field assigns a vector (think: direction and strength) to every point in space. You can imagine wind blowing across a landscape—at each point, the wind has a certain speed and direction.
The gradient of a function, written \( abla f \), points in the direction where the function increases most rapidly. It's calculated as a vector of partial derivatives.
\[
abla f(x, y) = \left( \frac{\partial f}{\partial x}, \frac{\partial f}{\partial y} \right) \]
Vector fields model physical phenomena like fluid flow, electric and magnetic fields, and more. The gradient helps locate peaks, valleys, and saddle points in a function.
\[ abla f(x, y) = \left( \frac{\partial f}{\partial x}, \frac{\partial f}{\partial y} \right)\]
Wind blowing across a map can be modeled as a vector field.
The gradient of \( f(x, y) = x^2 + y^2 \) at (1,2) is (2,4).
Vector fields show direction and strength at every point; gradients point toward fastest increase.