Differentiation is linear: Difference between revisions
(Created page with "==Statement== ===In terms of additivity and pulling out scalars=== The following are true: * ''Differentiation is additive'', or ''derivative of sum is sum of derivatives'': I...") |
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{{differentiation rule}} | |||
{{linear operator statement for functions}} | |||
==Statement== | ==Statement== | ||
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<math>\frac{d}{dx}[f(x) + g(x)]_{x = x_0} = f'(x_0) + g'(x_0)</math> | <math>\frac{d}{dx}[f(x) + g(x)]_{x = x_0} = f'(x_0) + g'(x_0)</math> | ||
or equivalently: | or equivalently, the following holds whenever the right side is defined (see [[concept of equality conditional to existence of one side]]): | ||
<math>(f + g)'(x_0) = f'(x_0) + g'(x_0)</math> | <math>(f + g)'(x_0) = f'(x_0) + g'(x_0)</math> | ||
In point-free notation: | In point-free notation, we have the following whereever the right side is defined (see [[concept of equality conditional to existence of one side]]): | ||
<math>(f + g)' = f' + g'</math> | <math>(f + g)' = f' + g'</math> | ||
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===In terms of generalized linearity=== | ===In terms of generalized linearity=== | ||
{{ | 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== | ||
* [[Repeated differentiation is linear]] | |||
* [[Product rule for differentiation]] | * [[Product rule for differentiation]] | ||
* [[Product rule for higher derivatives]] | * [[Product rule for higher derivatives]] | ||
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* [[Definite integration is linear]] | * [[Definite integration is linear]] | ||
* [[Indefinite integration is linear]] | * [[Indefinite integration is linear]] | ||
==Facts used== | |||
# [[uses::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''': <math>f</math> and <math>g</math> are functions that are both differentiable at <math>x = x_0</math>. | |||
'''To prove''': <math>f + g</math> is differentiable at <math>x = x_0</math>, and <math>\! (f + g)'(x_0) = f'(x_0) + g'(x_0)</math> | |||
'''Proof''': Our proof strategy is to start out by trying to compute <math>\! (f + g)'(x_0)</math> as a difference quotient, and keep simplifying this, using Fact (1) in the process. | |||
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Latest revision as of 14:53, 24 September 2021
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
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
- Repeated differentiation is linear
- Product rule for differentiation
- Product rule for higher derivatives
- Chain rule for differentiation
- Chain rule for higher derivatives
- Definite integration is linear
- Indefinite integration is linear
Facts used
- 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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