Differentiation is linear

From Calculus

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.
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This article gives a statement of the form that a certain operator from a space of functions to another space of functions is a linear operator, i.e., applying the operator to the sum of two functions gives the sum of the applications to each function, and applying it to a scalar multiple of a function gives the same scalar multiple of its application to the function.

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, the following holds whenever the right side is defined (see concept of equality conditional to existence of one side):

In point-free notation, we have the following whereever the right side is defined (see concept of equality conditional to existence of one side):

  • 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

Facts used

  1. Limit is linear: This states that the limit of the sum is the sum of the limits and scalars can be pulled out of limits.

Proof

We prove here the two-sided versions. Analogous proofs exist for the one-sided versions, and these use the one-sided versions of Fact (1).

Proof of additivity

Given: and are functions that are both differentiable at .

To prove: is differentiable at , and

Proof: Our proof strategy is to start out by trying to compute as a difference quotient, and keep simplifying this, using Fact (1) in the process.

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