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← Revision 12 as of 2026-06-08 21:48:39 ⇥
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| A '''derivative''' is an instantaneous rate of change with respect to an input variable. | A '''derivative''' is an instantaneous rate of change with respect to an input variable. It is a ratio of [[Calculus/Differential|differentials]]. |
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| {{attachment:const.svg}} | The basic rules/identities are: |
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| {{attachment:constfact.svg}} | ||'''Rule''' ||'''Formulation''' ||'''Defined for...''' || ||constants ||{{attachment:const.svg}} || || ||constant factors ||{{attachment:constfact.svg}} || || ||polynomials ('''power rule''')||{{attachment:polynomial.svg}} || || ||'''generalized power rule''' ||given ''f(x) = g(x)^h(x)^'', {{attachment:gen.svg}}|| || ||exponentiation ||{{attachment:e.svg}} || || ||exponentiation (generalized) ||{{attachment:exp.svg}} ||''a > 0'' || ||logarithms ||{{attachment:ln.svg}} ||''x > 0'' || ||logarithms (generalized) ||{{attachment:log.svg}} ||''x > 0'' and ''a > 0''|| |
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| {{attachment:polynomial.svg}} | For [[Calculus/Trigonometry|trigonometric functions]]: |
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| {{attachment:e.svg}} | ||'''Rule''' ||'''Formulation''' ||'''Defined for...'''|| ||sine ||{{attachment:sin.svg}} || || ||cosine ||{{attachment:cos.svg}} || || ||tangent ||{{attachment:tan.svg}} || || ||inverse sine ||{{attachment:arcsin.svg}}||''-1 < x < 1'' || ||inverse cosine ||{{attachment:arccos.svg}}||''-1 < x < 1'' || ||inverse tangent||{{attachment:arctan.svg}}|| || |
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| {{attachment:exp.svg}}, for ''a > 0'' | |
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| {{attachment:ln.svg}}, for ''x > 0'' | |
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| {{attachment:log.svg}}, for ''x > 0'' and ''a > 0'' | === Chain Rule === |
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| See the trigonometric functions' defined [[Calculus/Trigonometry|here]]. | For composite functions like ''e^2x^'' or ''sin(2x)'', the '''chain rule''' must be applied. Let ''f'' be the entire function as-is (e.g., ''e^2x^''), ''h'' be the 'inner function (e.g., ''2x''), and ''g'' be the 'outer' function (e.g., ''e^h(x)^''). |
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| {{attachment:sin.svg}} | {{attachment:chain.svg}} |
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| {{attachment:cos.svg}} | An inconvenient function ''h(x)'' can be rewritten as ''e^ln(h(x))^'', which can be evaluated using this rule. |
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| {{attachment:tan.svg}} | |
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| {{attachment:arcsin.svg}}, for ''-1 < x < 1'' | |
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| {{attachment:arccos.svg}}, for ''-1 < x < 1'' | === Product Rule === |
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| {{attachment:arctan.svg}} | Consider a function like ''f(x) = g(x)h(x)''. Evaluate as: {{attachment:prod1.svg}} This '''product rule''' holds for vector multiplication. That is, given a vector ''f'' that was defined as a [[Calculus/VectorOperations#Dot_Product|dot product]] like ''f = g ⋅ h'', the derivative (i.e., [[Calculus/SpeedVelocityAndAcceleration|over time]]) of ''f'' can be calculated from known derivatives of the components. In this case, try: {{attachment:prod2.svg}} The same is true of an ''f'' defined as a [[Calculus/VectorOperations#Cross_Product|cross product]] like ''f = g × h''. Try: {{attachment:prod3.svg}} === Quotient Rule === Consider a function like ''f(x) = g(x)/h(x)''. Evaluate as: {{attachment:quot.svg}} |
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| Derivatives are linear: given a function defined like ''f(x) = αg(x) + βh(x)'', {{attachment:sum.svg}}. | Derivatives are linear: given a function defined like ''f(x) = αg(x) + βh(x)'': |
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| The '''product rule''' states that, given a function defined like ''f(x) = g(x)h(x)'', {{attachment:prod.svg}}. This follows from the [[Calculus/Differential|differential]]; substitute ''g'' and ''h'' for ''g(x)'' and ''h(x)'': | {{attachment:sum.svg}}. The follows from the [[Calculus/Differential|total differential]]; substitute ''g'' and ''h'' for ''g(x)'' and ''h(x)'': |
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| Because the derivative of a constant is 0, the product rule also proves that ''(αf)' = αf' ''. |
Derivative
A derivative is an instantaneous rate of change with respect to an input variable. It is a ratio of differentials.
Rules
The basic rules/identities are:
Rule |
Formulation |
Defined for... |
constants |
|
|
constant factors |
|
|
polynomials (power rule) |
|
|
generalized power rule |
given f(x) = g(x)h(x), |
|
exponentiation |
|
|
exponentiation (generalized) |
|
a > 0 |
logarithms |
|
x > 0 |
logarithms (generalized) |
|
x > 0 and a > 0 |
Rule |
Formulation |
Defined for... |
sine |
|
|
cosine |
|
|
tangent |
|
|
inverse sine |
-1 < x < 1 |
|
inverse cosine |
-1 < x < 1 |
|
inverse tangent |
|
Chain Rule
For composite functions like e2x or sin(2x), the chain rule must be applied. Let f be the entire function as-is (e.g., e2x), h be the 'inner function (e.g., 2x), and g be the 'outer' function (e.g., eh(x)).
An inconvenient function h(x) can be rewritten as eln(h(x)), which can be evaluated using this rule.
Product Rule
Consider a function like f(x) = g(x)h(x). Evaluate as:
This product rule holds for vector multiplication. That is, given a vector f that was defined as a dot product like f = g ⋅ h, the derivative (i.e., over time) of f can be calculated from known derivatives of the components. In this case, try:
The same is true of an f defined as a cross product like f = g × h. Try:
Quotient Rule
Consider a function like f(x) = g(x)/h(x). Evaluate as:
Properties
Derivatives are linear: given a function defined like f(x) = αg(x) + βh(x):
.
The follows from the total differential; substitute g and h for g(x) and h(x):
f = gh
df = fgdg + fhdh
df/dx = fg(dg/dx) + fh(dh/dx)
And clearly the partial derivatives fg and fh are equal to h and g respectively, giving:
df/dx = h(dg/dx) + g(dh/dx)
Substituting back in the original functions gives the product rule.
