Multi Variable Differentiation

Overview


The concept of differentiation can be extended to functions that contain more than one variable.
{% f= f(x_1,x_2,...,x_n) %}
There are various concepts of differentiation that can be applied in this case. The definition of total derivative encapsulates the the notion of derivative given for a single variable that also applies to multi-variable functions.

Alternative to Multi Variable Functions


Multi-variable functions such as
{% f= f(x_1,x_2,...,x_n) %}
can be recast in an equivalent form, as a function of a single variable. In particular, the set of variables can be collected as a vector
{% \vec{v} = (x_1,x_2,...,x_n) = \sum_i x^i \vec{e}_i %}
where {% e_1,e_2,...,e_n %} are the basis vectors of the space where {% \vec{v} %} resides.

The function can be recast as
{% f(\vec{v}) %}

Topics


  • Partial Derivative
  • Total Derivative
  • Chain Rule
  • Gradient
  • Jacobian