Differentiation is linear: Difference between revisions

From Calculus
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===In terms of generalized linearity===
===In terms of generalized linearity===


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Suppose <math>f_1, f_2, \dots, f_n</math> are functions that are all differentiable at a point <math>x_0</math> and <math>a_1, a_2, \dots, a_n</math> are real numbers. Then:
 
<math>\frac{d}{dx}[a_1f_1(x) + a_2f_2(x) + \dots + a_nf_n(x)]|_{x = x_0} = a_1f_1'(x_0) + a_2f_2'(x_0) + \dots + a_nf_n'(x_0)</math>


==Related rules==
==Related rules==

Revision as of 13:58, 5 September 2011

This article is about a differentiation rule, i.e., a rule for differentiating a function expressed in terms of other functions whose derivatives are known.
View other differentiation rules

Statement

In terms of additivity and pulling out scalars

The following are true:

  • Differentiation is additive, or derivative of sum is sum of derivatives: If and are functions that are both differentiable at , we have:

or equivalently:

In point-free notation:

  • Constants (also called scalars) can be pulled out of differentiations: If is differentiable at and is a real number, then:

In terms of generalized linearity

Suppose are functions that are all differentiable at a point and are real numbers. Then:

Related rules