Multivariable Calculus and Classical Physics problems

In the first part of this course Multivariable Calculus is explained by focusing on understanding the key concepts rather than learning the formulas and/or exercises by rote. The process of reasoning by using mathematics is the primary objective of the course, and not simply being able to do computations. Besides, interesting proofs will be given, such as the Gauss and Stokes theorems proofs.

The prior knowledge requirement is Single variable Calculus (even without a great mastery of it). I will list some of the most important concepts that we will see here in the following. partial differentiation.

The partial derivative generalizes the notion of the derivative to higher dimensions. A partial derivative of a multivariable function is a derivative with respect to one variable with all other variables held constant. Partial derivatives may be combined in interesting ways to create more complicated expressions of the derivative.

For example, in vector calculus (which we will see), the "del" operator is used to define the concepts of gradient, divergence, and curl in terms of partial derivatives. A matrix of partial derivatives, the Jacobian matrix, may be used to represent the derivative of a function between two spaces of arbitrary dimension. Differential equations containing partial derivatives are called partial differential equations or PDEs.