This document discusses rules for computing derivatives of functions. It begins by listing existing derivative rules and defining notation. It then derives and presents rules for the derivatives of trigonometric functions like sine, cosine, tangent, cotangent, secant and cosecant. An example problem demonstrates finding the derivative of the tangent function using previous rules.
Introduction to derivative rules, including differentiation with respect to x, and basic derivative operations with constants.
Detailed explanation of product and quotient rules for derivatives, including derivatives of constants and power functions.
Derivatives of sine and cosine functions, including verification of the derivatives using limit results.
Continuing with derivatives of sine and cosine, introducing other trigonometric derivatives such as tangent and cosecant.
Practical examples of calculating derivatives using established rules, including chain rule implications.
Introduction and explanation of the Chain Rule for composing derivatives, exemplified with trigonometric and polynomial functions.
Further application of the Chain Rule with detailed examples and the concept of back-derivative. The general formulation of the Chain Rule applied to complex functions and slope determination examples.
More Computations ofDerivatives
We list the derivative rules we have so far.
We assume that the derivatives exist in all the
theorems below and the prime ( )' operation is
differentiation with respect to x.
4.
More Computations ofDerivatives
We list the derivative rules we have so far.
We assume that the derivatives exist in all the
theorems below and the prime ( )' operation is
differentiation with respect to x.
The ± and Constant–Multiple Derivative Rules
5.
More Computations ofDerivatives
We list the derivative rules we have so far.
We assume that the derivatives exist in all the
theorems below and the prime ( )' operation is
differentiation with respect to x.
The ± and Constant–Multiple Derivative Rules
Let f(x) and g(x) be two functions then
i. (f(x)±g(x)) ' = f '(x)±g '(x)
ii. (cf(x)) ' = c*f '(x) where c is a constant.
6.
More Computations ofDerivatives
We list the derivative rules we have so far.
We assume that the derivatives exist in all the
theorems below and the prime ( )' operation is
differentiation with respect to x.
The ± and Constant–Multiple Derivative Rules
Let f(x) and g(x) be two functions then
i. (f(x)±g(x)) ' = f '(x)±g '(x)
ii. (cf(x)) ' = c*f '(x) where c is a constant.
The Product and Quotient Rules of Derivatives
7.
More Computations ofDerivatives
We list the derivative rules we have so far.
We assume that the derivatives exist in all the
theorems below and the prime ( )' operation is
differentiation with respect to x.
The ± and Constant–Multiple Derivative Rules
Let f(x) and g(x) be two functions then
i. (f(x)±g(x)) ' = f '(x)±g '(x)
ii. (cf(x)) ' = c*f '(x) where c is a constant.
The Product and Quotient Rules of Derivatives
Write f for f(x) and g for g(x) then
(fg)' = f 'g + fg'
gf ' – fg'
g2
f
( g )' =
The Product Rule
The Quotient Rule
8.
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Derivatives of Constants and Power Functions
i. If f(x) = c, a constant function, then f '(x) = (c)' = 0.
ii. If f(x) = xP, then f '(x) = PxP–1 for a constant P ≠ 0.
9.
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Derivatives of Constants and Power Functions
i. If f(x) = c, a constant function, then f '(x) = (c)' = 0.
ii. If f(x) = xP, then f '(x) = PxP–1 for a constant P ≠ 0.
From the above rules and the derivatives of the
monomials we are able to easily calculate the
derivative of polynomials and rational functions.
10.
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Derivatives of Constants and Power Functions
i. If f(x) = c, a constant function, then f '(x) = (c)' = 0.
ii. If f(x) = xP, then f '(x) = PxP–1 for a constant P ≠ 0.
From the above rules and the derivatives of the
monomials we are able to easily calculate the
derivative of polynomials and rational functions.
But in order to take the derivatives of all elementary
functions, we also need to know the derivatives of the
other basic functions i.e. functions of the trig. family,
the log and exponential functions.
11.
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Derivatives of Constants and Power Functions
i. If f(x) = c, a constant function, then f '(x) = (c)' = 0.
ii. If f(x) = xP, then f '(x) = PxP–1 for a constant P ≠ 0.
From the above rules and the derivatives of the
monomials we are able to easily calculate the
derivative of polynomials and rational functions.
But in order to take the derivatives of all elementary
functions, we also need to know the derivatives of the
other basic functions i.e. functions of the trig. family,
the log and exponential functions.
More importantly we need to know how the derivative
of the composition of two functions such as sin(x2) may
be expressed as the derivative of each component.
12.
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Derivatives of Sine and Cosine
i. sin'(x) = cos(x)
d sin(x)
dx = cos(x)
ii. cos'(x) = –sin(x)
d cos(x)
dx = –sin(x)
13.
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Derivatives of Sine and Cosine
i. sin'(x) = cos(x)
d sin(x)
dx = cos(x)
ii. cos'(x) = –sin(x)
d cos(x)
dx = –sin(x)
In the following verification of i, we write s(x) for sin(x)
and c(x) for cos(x).
14.
More Computations ofDerivatives
Derivatives of Sine and Cosine
i. sin'(x) = cos(x)
d sin(x)
dx = cos(x)
ii. cos'(x) = –sin(x)
d cos(x)
dx = –sin(x)
In the following verification of i, we write s(x) for sin(x)
and c(x) for cos(x). We need the following limit–results.
15.
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Derivatives of Sine and Cosine
i. sin'(x) = cos(x)
d sin(x)
dx = cos(x)
ii. cos'(x) = –sin(x)
d cos(x)
dx = –sin(x)
In the following verification of i, we write s(x) for sin(x)
and c(x) for cos(x). We need the following limit–results.
lim
sin(h)
h
= 1
h→0
lim
cos(h) – 1
h
= 0
h→0
(HW)
16.
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Derivatives of Sine and Cosine
i. sin'(x) = cos(x)
d sin(x)
dx = cos(x)
ii. cos'(x) = –sin(x)
d cos(x)
dx = –sin(x)
In the following verification of i, we write s(x) for sin(x)
and c(x) for cos(x). We need the following limit–results.
lim
sin(h)
h
= 1
h→0
cos(h) – 1
Expand the difference quotient of sin(x) by the Sum of
Angles Formula for sine.
s(x + h) – s(x)
h =
lim
h
= 0
h→0
(HW)
17.
More Computations ofDerivatives
Derivatives of Sine and Cosine
i. sin'(x) = cos(x)
d sin(x)
dx = cos(x)
ii. cos'(x) = –sin(x)
d cos(x)
dx = –sin(x)
In the following verification of i, we write s(x) for sin(x)
and c(x) for cos(x). We need the following limit–results.
lim
sin(h)
h
= 1
h→0
cos(h) – 1
Expand the difference quotient of sin(x) by the Sum of
Angles Formula for sine.
s(x + h) – s(x)
h =
s(x)c(h) + c(x)s(h) – s(x)
h
lim
h
= 0
h→0
(HW)
18.
More Computations ofDerivatives
Derivatives of Sine and Cosine
i. sin'(x) = cos(x)
d sin(x)
dx = cos(x)
ii. cos'(x) = –sin(x)
d cos(x)
dx = –sin(x)
In the following verification of i, we write s(x) for sin(x)
and c(x) for cos(x). We need the following limit–results.
lim
sin(h)
h
= 1
h→0
cos(h) – 1
Expand the difference quotient of sin(x) by the Sum of
Angles Formula for sine.
s(x + h) – s(x)
h =
s(x)c(h) + c(x)s(h) – s(x)
h
= s(x)c(h) – s(x) + c(x)s(h)
h
lim
h
= 0
h→0
(HW)
19.
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Derivatives of Sine and Cosine
i. sin'(x) = cos(x)
d sin(x)
dx = cos(x)
ii. cos'(x) = –sin(x)
d cos(x)
dx = –sin(x)
In the following verification of i, we write s(x) for sin(x)
and c(x) for cos(x). We need the following limit–results.
lim
sin(h)
h
= 1
h→0
cos(h) – 1
Expand the difference quotient of sin(x) by the Sum of
Angles Formula for sine.
s(x + h) – s(x)
h =
s(x)c(h) + c(x)s(h) – s(x)
h
= s(x)c(h) – s(x) + c(x)s(h)
h
= s(x)(c(h) – 1) + c(x)s(h)
h
lim
h
= 0
h→0
(HW)
20.
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Hence lim
h→0
s(x + h) – s(x)
h
= lim
h→0
s(x)(c(h) – 1) + c(x)s(h)
h
21.
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Hence lim
h→0
s(x + h) – s(x)
h
= lim
h→0
s(x)(c(h) – 1) + c(x)s(h)
h
= lim
h→0
s(x)(c(h) – 1)
h
c(x)s(h)
+ lim
h→0
h
22.
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Hence lim
h→0
s(x + h) – s(x)
h
= lim
h→0
s(x)(c(h) – 1) + c(x)s(h)
h
= lim
h→0
s(x)(c(h) – 1)
h
0 1
c(x)s(h)
+ lim
h→0
h
23.
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Hence lim
h→0
s(x + h) – s(x)
h
= lim
h→0
s(x)(c(h) – 1) + c(x)s(h)
h
= lim
h→0
s(x)(c(h) – 1)
h
0 1
c(x)s(h)
+ lim
h→0
h = cos(x)
24.
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Hence lim
h→0
s(x + h) – s(x)
h
= lim
h→0
s(x)(c(h) – 1) + c(x)s(h)
h
= lim
h→0
s(x)(c(h) – 1)
h
0 1
c(x)s(h)
+ lim
h→0
h = cos(x)
Therefore d sin(x)
dx = cos(x)
25.
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Hence lim
h→0
s(x + h) – s(x)
h
= lim
h→0
s(x)(c(h) – 1) + c(x)s(h)
h
= lim
h→0
s(x)(c(h) – 1)
h
0 1
c(x)s(h)
+ lim
h→0
h = cos(x)
Therefore d sin(x)
dx = cos(x)
The verification of ii is similar and we leave it as an
exercise.
26.
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Derivatives of Other Trig. Functions
The derivatives of the other trig. functions may be
obtained by the quotient rule and the derivatives of
sine and cosine.
tan'(x) = sec2(x)
d tan(x)
dx = sec2(x)
cot'(x) = –csc2(x)
d cot(x)
dx = –csc2(x)
sec'(x) = sec(x)tan(x)
csc'(x) = –csc(x)cot(x)
d sec(x)
dx = sec(x)tan(x)
d csc(x)
dx = –csc(x)cot(x)
27.
More Computations ofDerivatives
Example A. Find the derivatives of the following
functions.
a.
d tan(x)
dx
(fg)' = f 'g + fg'
gf ' – fg'
g2
f
( g )' =
(xN)' = NxN–1
sin'(x) = cos(x)
cos'(x) = –sin(x)
28.
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Example A. Find the derivatives of the following
functions.
a.
d tan(x)
dx
d
dx
= s(x)
c(x)
(fg)' = f 'g + fg'
gf ' – fg'
g2
f
( g )' =
(xN)' = NxN–1
sin'(x) = cos(x)
cos'(x) = –sin(x)
29.
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Example A. Find the derivatives of the following
functions.
a.
d tan(x)
dx
d
dx
= s(x)
c(x)
(fg)' = f 'g + fg'
gf ' – fg'
g2
f
( g )' =
=
c(x)s'(x) – s(x)c'(x)
(xN)' = NxN–1
c2(x) sin'(x) = cos(x)
cos'(x) = –sin(x)
30.
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Example A. Find the derivatives of the following
functions.
a.
d tan(x)
dx
d
dx
= s(x)
c(x)
(fg)' = f 'g + fg'
gf ' – fg'
g2
f
( g )' =
=
c(x)s'(x) – s(x)c'(x)
(xN)' = NxN–1
c2(x) sin'(x) = cos(x)
cos'(x) = –sin(x)
c(x) –s(x)
31.
More Computations ofDerivatives
Example A. Find the derivatives of the following
functions.
a.
d tan(x)
dx
d
dx
= s(x)
c(x)
(fg)' = f 'g + fg'
gf ' – fg'
g2
f
( g )' =
=
c(x)s'(x) – s(x)c'(x)
(xN)' = NxN–1
c2(x) sin'(x) = cos(x)
cos'(x) = –sin(x)
c(x) –s(x)
=
c2(x) + s2(x)
c2(x)
32.
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Example A. Find the derivatives of the following
functions.
a.
d tan(x)
dx
d
dx
= s(x)
c(x)
(fg)' = f 'g + fg'
gf ' – fg'
g2
f
( g )' =
=
c(x)s'(x) – s(x)c'(x)
(xN)' = NxN–1
c2(x) sin'(x) = cos(x)
cos'(x) = –sin(x)
c(x) –s(x)
=
c2(x) + s2(x)
c2(x)
=
1
c2(x)
= sec2(x)
33.
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b. csc'(x)
(fg)' = f 'g + fg'
gf ' – fg'
g2
f
( g )' =
(xN)' = NxN–1
sin'(x) = cos(x)
cos'(x) = –sin(x)
34.
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b. csc'(x)
(fg)' = f 'g + fg'
gf ' – fg'
g2
f
( g )' =
(xN)' = NxN–1
sin'(x) = cos(x)
cos'(x) = –sin(x)
1
s(x)
= ( )'
35.
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b. csc'(x)
(fg)' = f 'g + fg'
gf ' – fg'
g2
f
( g )' =
(xN)' = NxN–1
sin'(x) = cos(x)
cos'(x) = –sin(x)
1
s(x)
= ( )'
s2(x)
=
0 c(x)
s(x)(1)' – 1*s'(x)
36.
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b. csc'(x)
(fg)' = f 'g + fg'
gf ' – fg'
g2
f
( g )' =
(xN)' = NxN–1
sin'(x) = cos(x)
cos'(x) = –sin(x)
1
s(x)
= ( )'
s2(x)
=
0 c(x)
s(x)(1)' – 1*s'(x)
=
–c(x)
s2(x)
= –csc(x)cot(x)
37.
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b. csc'(x)
(fg)' = f 'g + fg'
gf ' – fg'
g2
f
( g )' =
(xN)' = NxN–1
sin'(x) = cos(x)
cos'(x) = –sin(x)
1
s(x)
= ( )'
s2(x)
=
0 c(x)
s(x)(1)' – 1*s'(x)
=
–c(x)
s2(x)
= –csc(x)cot(x)
Replacing s(x) by a generic function f(x) in the above
proof we get the a short cut for the derivative of 1/f.
38.
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b. csc'(x)
(fg)' = f 'g + fg'
gf ' – fg'
g2
f
( g )' =
(xN)' = NxN–1
sin'(x) = cos(x)
cos'(x) = –sin(x)
1
s(x)
= ( )'
s2(x)
=
0 c(x)
s(x)(1)' – 1*s'(x)
=
–c(x)
s2(x)
= –csc(x)cot(x)
Replacing s(x) by a generic function f(x) in the above
proof we get the a short cut for the derivative of 1/f.
–f '
(Derivative of 1/f) (1/f)' =
f2
d(1/f)
dx
–df/dx
= f2
39.
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Example B. Find the derivatives of (fg)' = f 'g + fg'
(tan2(x))'
gf ' – fg'
g2
f
( g )' =
(xN)' = NxN–1
sin'(x) = cos(x)
cos'(x) = –sin(x)
40.
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Example B. Find the derivatives of (fg)' = f 'g + fg'
(tan2(x))'
gf ' – fg'
g2
f
( g )' =
(xN)' = NxN–1
sin'(x) = cos(x)
cos'(x) = –sin(x)
= (tan(x)*tan(x))'
41.
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Example B. Find the derivatives of (fg)' = f 'g + fg'
(tan2(x))'
gf ' – fg'
g2
f
( g )' =
(xN)' = NxN–1
sin'(x) = cos(x)
cos'(x) = –sin(x)
= (tan(x)*tan(x))'
= tan'(x)*tan(x) + tan(x)*tan'(x)
42.
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Example B. Find the derivatives of (fg)' = f 'g + fg'
(tan2(x))'
gf ' – fg'
g2
f
( g )' =
(xN)' = NxN–1
sin'(x) = cos(x)
cos'(x) = –sin(x)
= (tan(x)*tan(x))'
= tan'(x)*tan(x) + tan(x)*tan'(x)
= 2tan(x)[tan'(x)]
43.
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Example B. Find the derivatives of (fg)' = f 'g + fg'
(tan2(x))'
gf ' – fg'
g2
f
( g )' =
(xN)' = NxN–1
sin'(x) = cos(x)
cos'(x) = –sin(x)
= (tan(x)*tan(x))'
= tan'(x)*tan(x) + tan(x)*tan'(x)
= 2tan(x)[tan'(x)]
= 2tan(x)sec2(x)
44.
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Example B. Find the derivatives of (fg)' = f 'g + fg'
(tan2(x))'
gf ' – fg'
g2
f
( g )' =
(xN)' = NxN–1
sin'(x) = cos(x)
cos'(x) = –sin(x)
= (tan(x)*tan(x))'
= tan'(x)*tan(x) + tan(x)*tan'(x)
= 2tan(x)[tan'(x)]
= 2tan(x)sec2(x)
Again replacing tan(x) by a function f(x) in the above
proof we get the a short cut for the derivative f2(x).
45.
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Example B. Find the derivatives of (fg)' = f 'g + fg'
(tan2(x))'
gf ' – fg'
g2
f
( g )' =
(xN)' = NxN–1
sin'(x) = cos(x)
cos'(x) = –sin(x)
= (tan(x)*tan(x))'
= tan'(x)*tan(x) + tan(x)*tan'(x)
= 2tan(x)[tan'(x)]
Again replacing tan(x) by a function f(x) in the above
proof we get the a short cut for the derivative f2(x).
(Derivative of f2(x)) (f2(x))' = 2f(x)f '(x)
d(f2)= 2f
dx
df
dx
= 2tan(x)sec2(x)
46.
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Example B. Find the derivatives of (fg)' = f 'g + fg'
(tan2(x))'
gf ' – fg'
g2
f
( g )' =
(xN)' = NxN–1
sin'(x) = cos(x)
cos'(x) = –sin(x)
= (tan(x)*tan(x))'
= tan'(x)*tan(x) + tan(x)*tan'(x)
= 2tan(x)[tan'(x)]
= 2tan(x)sec2(x)
Again replacing tan(x) by a function f(x) in the above
proof we get the a short cut for the derivative f2(x).
(Derivative of f2(x)) (f2(x))' = 2f(x)f '(x)
d(f2)= 2f
dx
df
dx
Note the attached tail end derivative factor f '(x).
47.
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The Chain Rule is the rule for calculating the
derivative of the composition of two functions.
48.
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The Chain Rule is the rule for calculating the
derivative of the composition of two functions.
It demonstrates how the derivative of the composition
can be assembled from the derivatives of the
component functions.
49.
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The Chain Rule is the rule for calculating the
derivative of the composition of two functions.
It demonstrates how the derivative of the composition
can be assembled from the derivatives of the
component functions.
(The Chain Rule) Let u = u(v) and v = v(x),
the derivative of the composition function
(u ○ v)(x) = u( v(x) ) is the product of the derivatives
of u and v,
50.
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The Chain Rule is the rule for calculating the
derivative of the composition of two functions.
It demonstrates how the derivative of the composition
can be assembled from the derivatives of the
component functions.
(The Chain Rule) Let u = u(v) and v = v(x),
the derivative of the composition function
(u ○ v)(x) = u( v(x) ) is the product of the derivatives
of u and v, that is du
dv
dv
dx
du =
dx
51.
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The Chain Rule is the rule for calculating the
derivative of the composition of two functions.
It demonstrates how the derivative of the composition
can be assembled from the derivatives of the
component functions.
(The Chain Rule) Let u = u(v) and v = v(x),
the derivative of the composition function
(u ○ v)(x) = u( v(x) ) is the product of the derivatives
of u and v, that is du
dv
dv
dx
du =
dx
Let’s use the last example again.
Let u = u(v) = v2,
and v = v(x) = tan(x),
the composition is u(v(x)) = tan2(x).
52.
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We have that
u = u(v) = v2, and v = v(x) = tan(x) and
u(v(x)) = tan2(x)
53.
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We have that
u = u(v) = v2, and v = v(x) = tan(x) and
u(v(x)) = tan2(x)
d tan2(x)
dx
=
Hence
du
dv
dv
dx
54.
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We have that
u = u(v) = v2, and v = v(x) = tan(x) and
u(v(x)) = tan2(x)
d tan2(x)
dx
= dv2
dv
Hence
du
dv
dv
dx
55.
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We have that
u = u(v) = v2, and v = v(x) = tan(x) and
u(v(x)) = tan2(x)
d tan2(x)
dx
= dv2
dv
d tan(x)
dx
Hence
du
dv
dv
dx
56.
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We have that
u = u(v) = v2, and v = v(x) = tan(x) and
u(v(x)) = tan2(x)
d tan2(x)
dx
= dv2
dv
d tan(x)
dx
Hence
du
dv
dv
dx
the back–
derivative
57.
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We have that
u = u(v) = v2, and v = v(x) = tan(x) and
u(v(x)) = tan2(x)
d tan2(x)
dx
= dv2
dv
d tan(x)
dx
Hence
du
dv
dv
dx
the back–
derivative
= (2v) sec2(x)
58.
More Computations ofDerivatives
We have that
u = u(v) = v2, and v = v(x) = tan(x) and
u(v(x)) = tan2(x)
d tan2(x)
dx
= dv2
dv
d tan(x)
dx
Hence
du
dv
dv
dx
the back–
derivative
= (2v) sec2(x)
= 2tan(x) sec2(x)
59.
More Computations ofDerivatives
We have that
u = u(v) = v2, and v = v(x) = tan(x) and
u(v(x)) = tan2(x)
d tan2(x)
dx
= dv2
dv
=
d tan(x)
dx
Hence
du
dv
dv
dx
= (2v) sec2(x)
the back–
derivative
= 2tan(x) sec2(x)
The name “Chain Rule” came from the fact that the
rule is often applied many times with the
back–derivative spinning off another back–derivative
which spins off another etc…
60.
More Computations ofDerivatives
Example C.
a. Let y = sin(u) and u = x3, express y as a function
in x and find dy/dx.
b. Let y = sin3(x) find dy/dx.
61.
More Computations ofDerivatives
Example C.
a. Let y = sin(u) and u = x3, express y as a function
in x and find dy/dx.
We have that y = sin(u) = sin(x3).
b. Let y = sin3(x) find dy/dx.
62.
More Computations ofDerivatives
Example C.
a. Let y = sin(u) and u = x3, express y as a function
in x and find dy/dx.
We have that y = sin(u) = sin(x3).
dy
dx =
dy
du
du
dx
Hence
b. Let y = sin3(x) find dy/dx.
63.
More Computations ofDerivatives
Example C.
a. Let y = sin(u) and u = x3, express y as a function
in x and find dy/dx.
We have that y = sin(u) = sin(x3).
dy
dx =
dy
du
du
dx =
dsin(u)
du
Hence
b. Let y = sin3(x) find dy/dx.
64.
More Computations ofDerivatives
Example C.
a. Let y = sin(u) and u = x3, express y as a function
in x and find dy/dx.
We have that y = sin(u) = sin(x3).
dy
dx =
dy
du
du
dx =
dsin(u)
du
dx3
dx
Hence
b. Let y = sin3(x) find dy/dx.
the back–
derivative
65.
More Computations ofDerivatives
Example C.
a. Let y = sin(u) and u = x3, express y as a function
in x and find dy/dx.
We have that y = sin(u) = sin(x3).
dy
dx =
dy
du
du
dx =
dsin(u)
du
dx3
dx
= cos(u) (3x2) = 3x2cos(x3)
Hence
b. Let y = sin3(x) find dy/dx.
the back–
derivative
66.
More Computations ofDerivatives
Example C.
a. Let y = sin(u) and u = x3, express y as a function
in x and find dy/dx.
We have that y = sin(u) = sin(x3).
dy
dx =
dy
du
du
dx =
dsin(u)
du
dx3
dx
= cos(u) (3x2) = 3x2cos(x3)
Hence
b. Let y = sin3(x) find dy/dx.
We have that y = u3 where u = sin(x).
the back–
derivative
67.
More Computations ofDerivatives
Example C.
a. Let y = sin(u) and u = x3, express y as a function
in x and find dy/dx.
We have that y = sin(u) = sin(x3).
dy
dx =
dy
du
du
dx =
dsin(u)
du
dx3
dx
= cos(u) (3x2) = 3x2cos(x3)
b. Let y = sin3(x) find dy/dx.
We have that y = u3 where u = sin(x).
dy
dx =
dy
du
du
dx
Hence
Hence
the back–
derivative
68.
More Computations ofDerivatives
Example C.
a. Let y = sin(u) and u = x3, express y as a function
in x and find dy/dx.
We have that y = sin(u) = sin(x3).
dy
dx =
dy
du
du
dx =
dsin(u)
du
dx3
dx
= cos(u) (3x2) = 3x2cos(x3)
b. Let y = sin3(x) find dy/dx.
We have that y = u3 where u = sin(x).
dy
dx =
dy
du
du
dx =
du3
du
d sin(x)
dx
Hence
Hence
the back–
derivative
the back–
derivative
69.
More Computations ofDerivatives
Example C.
a. Let y = sin(u) and u = x3, express y as a function
in x and find dy/dx.
We have that y = sin(u) = sin(x3).
dy
dx =
dy
du
du
dx =
dsin(u)
du
dx3
dx
= cos(u) (3x2) = 3x2cos(x3)
b. Let y = sin3(x) find dy/dx.
We have that y = u3 where u = sin(x).
dy
dx =
dy
du
du
dx =
du3
du
d sin(x)
dx
= 3u2 cos(x) = 3sin2(x) cos(x)
Hence
Hence
the back–
derivative
the back–
derivative
70.
More Computations ofDerivatives
(The General Chain Rule)
If y = y(u), u = u(w), .. v = v(x) then
dy
dy
du
=
..
dv
dx du
dw
dx
71.
More Computations ofDerivatives
(The General Chain Rule)
If y = y(u), u = u(w), .. v = v(x) then
dy
dy
du
=
..
dv
dx du
dw
dx
c. Find the derivative of cos[(x2+1)3]
72.
More Computations ofDerivatives
(The General Chain Rule)
If y = y(u), u = u(w), .. v = v(x) then
dy
dy
du
=
..
dv
dx du
dw
dx
c. Find the derivative of cos[(x2+1)3]
We have that y = cos(u),
73.
More Computations ofDerivatives
(The General Chain Rule)
If y = y(u), u = u(w), .. v = v(x) then
dy
dy
du
=
..
dv
dx du
dw
dx
c. Find the derivative of cos[(x2+1)3]
We have that y = cos(u),
where u = v3,
74.
More Computations ofDerivatives
(The General Chain Rule)
If y = y(u), u = u(w), .. v = v(x) then
dy
dy
du
=
..
dv
dx du
dw
dx
c. Find the derivative of cos[(x2+1)3]
We have that y = cos(u),
where u = v3,
where v = (x2 + 1).
75.
More Computations ofDerivatives
(The General Chain Rule)
If y = y(u), u = u(w), .. v = v(x) then
dy
dy
du
=
..
dv
dx du
dw
dx
c. Find the derivative of cos[(x2+1)3]
We have that y = cos(u),
where u = v3,
where v = (x2 + 1).
dy
dx =
dy
du
du
dv
dv
Hence dx
76.
More Computations ofDerivatives
(The General Chain Rule)
If y = y(u), u = u(w), .. v = v(x) then
dy
dx =
c. Find the derivative of cos[(x2+1)3]
We have that y = cos(u),
where u = v3,
where v = (x2 + 1).
dy
dx =
dy
du
du
dv
dv
Hence dx
= –sin(u) (3v2) (2x)
dy
du
du
dw
dv
dx
..
77.
More Computations ofDerivatives
(The General Chain Rule)
If y = y(u), u = u(w), .. v = v(x) then
dy
dx =
c. Find the derivative of cos[(x2+1)3]
We have that y = cos(u),
where u = v3,
where v = (x2 + 1).
dy
dx =
dy
du
du
dv
dv
Hence dx
= –sin(u) (3v2) (2x)
= –sin(v3) (3v2) (2x)
dy
du
du
dw
dv
dx
..
78.
More Computations ofDerivatives
(The General Chain Rule)
If y = y(u), u = u(w), .. v = v(x) then
dy
dx =
c. Find the derivative of cos[(x2+1)3]
We have that y = cos(u),
where u = v3,
where v = (x2 + 1).
dy
dx =
dy
du
du
dv
dv
Hence dx
= –sin(u) (3v2) (2x)
= –sin(v3) (3v2) (2x)
= –sin[(x2 + 1)3] [3(x2 + 1)2](2x)
dy
du
du
dw
dv
dx
..
79.
More Computations ofDerivatives
The prime notation of the Chain Rule may look
confusing.
(u ○ v)'(x) = u'(v(x))v'(x)
80.
More Computations ofDerivatives
The prime notation of the Chain Rule may look
confusing.
derivative taken
with respect to x
derivative taken
with respect to x
derivative taken
with respect to v
(u ○ v)'(x) = u'(v(x))v'(x)
81.
More Computations ofDerivatives
The prime notation of the Chain Rule may look
confusing.
derivative taken
with respect to x
(u ○ v)'(x) = u'(v(x))v'(x)
where u'(v(x)) = du
is the derivative of u with
dv v=v(x)
respect to v, evaluated at v (x).
derivative taken
with respect to x
derivative taken
with respect to v
82.
More Computations ofDerivatives
The prime notation of the Chain Rule may look
confusing.
derivative taken
with respect to x
(u ○ v)'(x) = u'(v(x))v'(x)
where u'(v(x)) = du
is the derivative of u with
dv v=v(x)
respect to v, evaluated at v (x).
derivative taken
with respect to x
derivative taken
with respect to v
Example D. Let u(v) = cos(v) and v(x) = x2, find the
slope of the tangent at x = √π for (u ○ v)(x).
83.
More Computations ofDerivatives
The prime notation of the Chain Rule may look
confusing.
derivative taken
with respect to x
(u ○ v)'(x) = u'(v(x))v'(x)
where u'(v(x)) = du
is the derivative of u with
dv v=v(x)
respect to v, evaluated at v (x).
derivative taken
with respect to x
derivative taken
with respect to v
Example D. Let u(v) = cos(v) and v(x) = x2, find the
slope of the tangent at x = √π for (u ○ v)(x).
(u ○ v)'(x) = u'(v(x))v'(x) =
84.
More Computations ofDerivatives
The prime notation of the Chain Rule may look
confusing.
derivative taken
with respect to x
(u ○ v)'(x) = u'(v(x))v'(x)
where u'(v(x)) = du
is the derivative of u with
dv v=v(x)
respect to v, evaluated at v (x).
derivative taken
with respect to x
derivative taken
with respect to v
Example D. Let u(v) = cos(v) and v(x) = x2, find the
slope of the tangent at x = √π for (u ○ v)(x).
(u ○ v)'(x) = u'(v(x))v'(x) = –sin(v) 2x,
85.
More Computations ofDerivatives
The prime notation of the Chain Rule may look
confusing.
derivative taken
with respect to x
(u ○ v)'(x) = u'(v(x))v'(x)
where u'(v(x)) = du
is the derivative of u with
dv v=v(x)
respect to v, evaluated at v (x).
derivative taken
with respect to x
derivative taken
with respect to v
Example D. Let u(v) = cos(v) and v(x) = x2, find the
slope of the tangent at x = √π for (u ○ v)(x).
(u ○ v)'(x) = u'(v(x))v'(x) = –sin(v) 2x, at x = √π,
(u ○ v)'(√π) = –sin(v) 2x x = √π,
86.
More Computations ofDerivatives
The prime notation of the Chain Rule may look
confusing.
derivative taken
with respect to x
(u ○ v)'(x) = u'(v(x))v'(x)
where u'(v(x)) = du
is the derivative of u with
dv v=v(x)
respect to v, evaluated at v (x).
derivative taken
with respect to x
derivative taken
with respect to v
Example D. Let u(v) = cos(v) and v(x) = x2, find the
slope of the tangent at x = √π for (u ○ v)(x).
(u ○ v)'(x) = u'(v(x))v'(x) = –sin(v) 2x, at x = √π,
(u ○ v)'(√π) = –sin(v) 2x x = √π,
= –sin(√π2) 2√π = 0
87.
More Computations ofDerivatives
The Chain Rule gives the multiplying effect of the
rates of change under the composition operation.
88.
More Computations ofDerivatives
The Chain Rule gives the multiplying effect of the
rates of change under the composition operation.
Suppose y = g(u) = 3u and u = f(x) = 5x.
89.
More Computations ofDerivatives
The Chain Rule gives the multiplying effect of the
rates of change under the composition operation.
Suppose y = g(u) = 3u and u = f(x) = 5x.
The slope of y = g(u) = 3u as a function in u is 3.
The slope u = 5x with respect to x is 5.
90.
More Computations ofDerivatives
The Chain Rule gives the multiplying effect of the
rates of change under the composition operation.
Suppose y = g(u) = 3u and u = f(x) = 5x.
The slope of y = g(u) = 3u as a function in u is 3.
The slope u = 5x with respect to x is 5.
The composition y = g(f(x)) as a function in x is
y = 3(5x) = 15x which has slope to x as (3)(5) = 15.