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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 ||{{attachment:polynomial.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'' === Properties ===
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{{attachment:sin.svg}} Derivatives are linear: given a function defined like ''f(x) = αg(x) + βh(x)'', {{attachment:sum.svg}}.
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{{attachment:cos.svg}} 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|total differential]]; substitute ''g'' and ''h'' for ''g(x)'' and ''h(x)'':
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{{attachment:tan.svg}} ''f = gh''
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{{attachment:arcsin.svg}}, for ''-1 < x < 1'' ''df = f,,g,,dg + f,,h,,dh''
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{{attachment:arccos.svg}}, for ''-1 < x < 1'' ''df/dx = f,,g,,(dg/dx) + f,,h,,(dh/dx)''
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{{attachment:arctan.svg}} And clearly the partial derivatives ''f,,g,,'' and ''f,,h,,'' 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.

The product rule holds for vector multiplication; that is, for a [[Calculus/VectorOperations#Dot_Product|dot product]]:

''f = g ⋅ h''

''df/dx = h ⋅ (dg/dx) + g ⋅ (dh/dx)''

...and also for a [[Calculus/VectorOperations#Cross_Product|cross product]]:

''f = g × h''

''df/dx = h × (dg/dx) + g × (dh/dx)''

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

const.svg

constant factors

constfact.svg

polynomials

polynomial.svg

exponentiation

e.svg

exponentiation (generalized)

exp.svg

a > 0

logarithms

ln.svg

x > 0

logarithms (generalized)

log.svg

x > 0 and a > 0

For trigonometric functions:

Rule

Formulation

Defined for...

sine

sin.svg

cosine

cos.svg

tangent

tan.svg

inverse sine

arcsin.svg

-1 < x < 1

inverse cosine

arccos.svg

-1 < x < 1

inverse tangent

arctan.svg

Properties

Derivatives are linear: given a function defined like f(x) = αg(x) + βh(x), sum.svg.

The product rule states that, given a function defined like f(x) = g(x)h(x), prod.svg. This 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.

The product rule holds for vector multiplication; that is, for a dot product:

f = g ⋅ h

df/dx = h ⋅ (dg/dx) + g ⋅ (dh/dx)

...and also for a cross product:

f = g × h

df/dx = h × (dg/dx) + g × (dh/dx)


CategoryRicottone

Calculus/Derivative (last edited 2025-11-12 15:15:43 by DominicRicottone)