Differentiation is linear: Difference between revisions
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'''Given''': <math>f</math> and <math>g</math> are functions that are both differentiable at <math>x = x_0</math>. | '''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> | '''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. | '''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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Revision as of 21:48, 20 October 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
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:
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
- 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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