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Rules and Properties of Derivatives

The definition of the derivative is often cumbersome to work with. For example, to compute the derivative of tex2html_wrap_inline378 :

eqnarray20

Imagine using the definition to compute the derivative of tex2html_wrap_inline380 ! This is not a task I (or anyone else) would relish.

However, the definition of the derivative can be used to prove a variety of facts, properties and rules about differentiation. The following is a quick list of important rules.

  1. tex2html_wrap_inline382
  2. tex2html_wrap_inline384 , if a is a real number.
  3. tex2html_wrap_inline388
  4. tex2html_wrap_inline390

Together, the first two properties show that the derivative is a linear operation on functions that are differentiable. For a function to be differentiable at tex2html_wrap_inline392 , the function must be continuous at tex2html_wrap_inline392 . That is,

equation48

Also, tex2html_wrap_inline396 must not be a corner or strange kink (eg. f(x) = |x| has a corner at x = 0.) In other words, as we take the limit in the definition of the derivative, it must exist from the left and the right and be equal (from both directions) to the slope of the function at that point. This means that

equation52

Some of the more important (and frequently encountered) derivatives are shown below.

  1. tex2html_wrap_inline402 . This can be seen from

    eqnarray60

  2. tex2html_wrap_inline406
  3. tex2html_wrap_inline408


Vector Calculus
Thu Oct 2 10:00:10 MST 1997