This document provides an introduction to partial differentiation, including:
- Defining partial derivatives and how they are calculated by treating all but one variable as a constant
- Examples of finding partial derivatives using the product, quotient, and chain rules
- Higher order partial derivatives and mixed partial derivatives
- Notation for partial derivatives
- A quiz on partial derivatives concepts
In this presentation we will learn Del operator, Gradient of scalar function , Directional Derivative, Divergence of vector function, Curl of a vector function and after that solved some example related to above.
Gradient in math
Directional derivative in math
Divergence in math
Curl in math
Gradient , Directional Derivative , Divergence , Curl in mathematics
Gradient , Directional Derivative , Divergence , Curl in math
Gradient , Directional Derivative , Divergence , Curl
Its states Periodic function, Fourier series for disontinous function, Fourier series, Intervals, Odd and even functions, Half range fourier series etc. Mostly used as active learning assignment in Degree 3rd sem students.
In this presentation we will learn Del operator, Gradient of scalar function , Directional Derivative, Divergence of vector function, Curl of a vector function and after that solved some example related to above.
Gradient in math
Directional derivative in math
Divergence in math
Curl in math
Gradient , Directional Derivative , Divergence , Curl in mathematics
Gradient , Directional Derivative , Divergence , Curl in math
Gradient , Directional Derivative , Divergence , Curl
Its states Periodic function, Fourier series for disontinous function, Fourier series, Intervals, Odd and even functions, Half range fourier series etc. Mostly used as active learning assignment in Degree 3rd sem students.
Signals and Systems 2e Oppenheim Solutions . Signals Systems 2nd Edition , Oppenheim Solution Manual - Free download as PDF File (.pdf). COmpelete Solution For Signals and sustem 23e Oppenheim
In this slide fourier series of Engineering Mathematics has been described. one Example is also added for you. Hope this will help you understand fourier series.
Signals and Systems 2e Oppenheim Solutions . Signals Systems 2nd Edition , Oppenheim Solution Manual - Free download as PDF File (.pdf). COmpelete Solution For Signals and sustem 23e Oppenheim
In this slide fourier series of Engineering Mathematics has been described. one Example is also added for you. Hope this will help you understand fourier series.
2009 рік. Експертами провідних аналітичних центрів України було здійснено комплексне дослідження та підготовлено документ для обговорення «Модернізація України. Визначення пріоритетів реформ», що має слугувати орієнтиром у розумінні стану та потреб реформ й перспектив розвитку країни. Особлива увага в даному дослідженні приділена визначенню підходів та принципів модернізації України, висвітленню орієнтирів стратегічних напрямів реформ у сферах інституційної організації держави, соціально-економічної політики, зовнішньої політики та безпеки, а також фундаментальним цінностям як основі діяльності держави. Експерти Центру політико-правових реформ є авторами розділу "Інституційна організація держави і територіального самоврядування". Коротка версія цього документу була опублікована в "Дзеркалі тижня" 12.12.2009, а повна версія видана брошурою і винесена на науково-громадське обговорення на дев'яти круглих столах в провідних університетах різних регіонів України, зокрема у Дніпропетровську, Донецьку, Луцьку, Львові, Одесі, Сімферополі, Харкові, Чернівцях впродовж 14 – 18 грудня 2009 року із залученням науковців, представників громадських організацій, експертного середовища, представників політичних партій, місцевої влади, бізнесу та засобів масової інформації на місцевому/регіональному рівні.
Чому Україні потрібен закон про доступ до публічної інформації // Автори-упорядники: М. Демкова, І. Шаповал – Київ, 2009. – 36 с. Брошура наводить переконливі аргументи щодо прийняття в Україні закону про доступ до публічної інформації, як необхідного механізму реалізації кожним права на доступ до інформації в органах влади, що, у свою чергу, сприятиме досягненню прозорості і відкритості влади, зробить її більш підконтрольною громадськості, а отже, підвищить її ефективність. Окрім того, брошура містить порівняльний аналіз норм Закону України «Про інформацію» 1992 р. та проекту Закону України «Про доступ до публічної інформації» № 2763, наводить реальні переваги законопроекту порівняно із чинним Законом. Видання розраховане на широке коло читачів, передусім народних депутатів, які вирішуватимуть долю законопроекту про доступ до публічної інформації, службовців, які працюють із інформаційними запитами, а також громадян, які беруть участь у формуванні та реалізації державної політики, вирішенні питань місцевого значення Окрім того, ЦППР видав та розповсюдив серед народних депутатів України буклети «Чому Україні потрібен закон про доступ до публічної інформації».
Автор-упорядник О.А. Банчук. — К.: Конус-Ю, 2009. — 272 с. Книга присвячена дослідженню питань інспекційної (контрольно-наглядової) діяльності адміністративних органів в Україні. Обґрунтована необхідність зміни теоретичного поняття адміністративного контролю (нагляду) і адміністративного примусу з метою врахування правової доктрини європейських країн. Аналізуються практичні проблеми здійснення перевірок органами влади і відповідність окремих інспекційних повноважень європейським стандартам. В додатках до книги розміщений перелік інспекційних повноважень переважної більшості органів влади, закріплений в законах та підзаконних актах України. Книга буде цікавою для народних депутатів України, суддів, державних службовців, підприємців, науковців, аспірантів, студентів та всіх, хто цікавиться проблемами застосування та розвитку адміністративного законодавства.
CPLR annual activity report for 2015. Year 2015 in Ukraine for Constitutionalism, Governance and Public Administration, Judiciary, Criminal Justice, Combatting Corruption. CPLR achievements, publications, financial report, donors.
This document is the result of a collaboration amongst four think tanks from four countries: the Centre for European and North Atlantic Affairs (CENAA) from Slovakia; the Centre for Political and Legal Reforms (CPLR) from Ukraine; the Institute of Peruvian Studies (IEP) from Peru; and Article 33 from Indonesia. The aim of this collaborative study is to exchange information and reflections from the participating organisations and their external communication practices, with a focus on the challenges faced when communicating research results about sensitive issues. The study intends to systematize, analyse and compare how think tanks disseminate information on topics that usually divide and polarize society, while reflecting on how think tanks’ communication traditions and experiences are used to influence changes in society. To achieve our goal, we developed case studies of each organisation and used an on-the-go-design. During the exchange process, participants had the opportunity to reflect on their own organisations, its communication practices, and compare them with organisations of different sizes and practices and who work in different political contexts.
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1. Intermediate Mathematics
Introduction to Partial
Differentiation
R Horan & M Lavelle
The aim of this document is to provide a short, self
assessment programme for students who wish to acquire
a basic understanding of partial differentiation.
Copyright c
2004 rhoran@plymouth.ac.uk , mlavelle@plymouth.ac.uk
Last Revision Date: May 25, 2005 Version 1.0
2. Table of Contents
1. Partial Differentiation (Introduction)
2. The Rules of Partial Differentiation
3. Higher Order Partial Derivatives
4. Quiz on Partial Derivatives
Solutions to Exercises
Solutions to Quizzes
The full range of these packages and some instructions,
should they be required, can be obtained from our web
page Mathematics Support Materials.
3. Section 1: Partial Differentiation (Introduction) 3
1. Partial Differentiation (Introduction)
In the package on introductory differentiation, rates of change
of functions were shown to be measured by the derivative. Many
applications require functions with more than one variable: the ideal
gas law, for example, is
pV = kT
where p is the pressure, V the volume, T the absolute temperature of
the gas, and k is a constant. Rearranging this equation as
p =
kT
V
shows that p is a function of T and V . If one of the variables, say T,
is kept fixed and V changes, then the derivative of p with respect to
V measures the rate of change of pressure with respect to volume. In
this case, it is called the partial derivative of p with respect to V and
written as
∂p
∂V
.
4. Section 1: Partial Differentiation (Introduction) 4
Example 1 If p =
kT
V
, find the partial derivatives of p:
(a) with respect to T, (b) with respect to V .
Solution
(a) This part of the example proceeds as follows:
p =
kT
V
,
∴
∂p
∂T
=
k
V
,
where V is treated as a constant for this calculation.
(b) For this part, T is treated as a constant. Thus
p = kT
1
V
= kTV −1
,
∴
∂p
∂V
= −kTV −2
= −
kT
V 2
.
5. Section 1: Partial Differentiation (Introduction) 5
The symbol ∂ is used whenever a function with more than one variable
is being differentiated but the techniques of partial differentiation are
exactly the same as for (ordinary) differentiation.
Example 2 Find
∂z
∂x
and
∂z
∂y
for the function z = x2
y3
.
Solution
z = x2
y3
∴
∂z
∂x
= 2xy3
,
and
∂z
∂y
= x2
3y2
,
= 3x2
y2
.
For the first part y3
is treated as
a constant and the derivative of
x2
with respect to x is 2x.
For the second part x2
is treated
as a constant and the derivative
of y3
with respect to y is 3y2
.
Exercise 1. Find
∂z
∂x
and
∂z
∂y
for each of the following functions.
(Click on the green letters for solutions.)
(a) z = x2
y4
, (b) z = (x4
+ x2
)y3
, (c) z = y
1
2 sin(x).
6. Section 2: The Rules of Partial Differentiation 6
2. The Rules of Partial Differentiation
Since partial differentiation is essentially the same as ordinary differ-
entiation, the product, quotient and chain rules may be applied.
Example 3 Find
∂z
∂x
for each of the following functions.
(a) z = xy cos(xy) , (b) z =
x − y
x + y
, (c) z = (3x + y)2
.
Solution
(a) Here z = uv, where u = xy and v = cos(xy) so the product rule
applies (see the package on the Product and Quotient Rules).
u = xy and v = cos(xy)
∴
∂u
∂x
= y and
∂v
∂x
= −y sin(xy) .
Thus
∂z
∂x
=
∂u
∂x
v + u
∂v
∂x
= y cos(xy) − xy2
sin(xy) .
7. Section 2: The Rules of Partial Differentiation 7
(b) Here z = u/v, where u = x − y and v = x + y so the quotient rule
applies (see the package on the Product and Quotient Rules).
u = x − y and v = x + y
∴
∂u
∂x
= 1 and
∂v
∂x
= 1 .
Thus
∂z
∂x
=
v
∂u
∂x
− u
∂v
∂x
v2
=
(x + y) − (x − y)
(x + y)2
=
2y
(x + y)2
.
(c) In this case z = (3x + y)2
so z = u2
where u = 3x + y, and the
chain rule applies (see the package on the Chain Rule).
z = u2
and u = 3x + y
∴
∂z
∂u
= 2u and
∂u
∂x
= 3 .
Thus ∂z
∂x
=
∂z
∂u
∂u
∂x
= 2(3x + y)3 = 6(3x + y) .
8. Section 2: The Rules of Partial Differentiation 8
Exercise 2. Find
∂z
∂x
and
∂z
∂y
for each of the following functions.
(Click on the green letters for solutions.)
(a) z = (x2
+3x) sin(y), (b) z =
cos(x)
y5
, (c) z = ln(xy),
(d) z = sin(x) cos(xy), (e) z = e(x2
+y2
)
, (f) z = sin(x2
+ y).
Quiz If z = cos(xy), which of the following statements is true?
(a)
∂z
∂x
=
∂z
∂y
, (b)
∂z
∂x
=
1
x
∂z
∂y
,
(c)
1
y
∂z
∂x
=
∂z
∂y
, (d)
1
y
∂z
∂x
=
1
x
∂z
∂y
.
9. Section 3: Higher Order Partial Derivatives 9
3. Higher Order Partial Derivatives
Derivatives of order two and higher were introduced in the package on
Maxima and Minima. Finding higher order derivatives of functions
of more than one variable is similar to ordinary differentiation.
Example 4 Find
∂2
z
∂x2
if z = e(x3
+y2
)
.
Solution First differentiate z with respect to x, keeping y constant,
then differentiate this function with respect to x, again keeping y
constant.
z = e(x3
+y2
)
∴
∂z
∂x
= 3x2
e(x3
+y2
)
using the chain rule
∂2
z
∂x2
=
∂(3x2
)
∂x
e(x3
+y2
)
+ 3x2 ∂(e(x3
+y2
)
)
∂x
using the product rule
∂2
z
∂x2
= 6xe(x3
+y2
)
+ 3x2
(3x2
e(x3
+y2
)
)
= (9x4
+ 6x)e(x3
+y2
)
10. Section 3: Higher Order Partial Derivatives 10
In addition to both
∂2
z
∂x2
and
∂2
z
∂y2
, when there are two variables there
is also the possibility of a mixed second order derivative.
Example 5 Find
∂2
z
∂x∂y
if z = e(x3
+y2
)
.
Solution The symbol
∂2
z
∂x∂y
is interpreted as
∂
∂x
∂z
∂y
; in words,
first differentiate z with respect to y, keeping x constant, then differ-
entiate this function with respect to x, keeping y constant. (It is this
differentiation, first with respect to x and then with respect to y, that
leads to the name of mixed derivative.)
First with x constant
∂z
∂y
= 2ye(x3
+y2
)
(using the chain rule.)
Second with y constant
∂2
z
∂x∂y
=
∂
∂x
2ye(x3
+y2
)
= 3x2
2ye(x3
+y2
)
= 6x2
ye(x3
+y2
)
.
11. Section 3: Higher Order Partial Derivatives 11
The obvious question now to be answered is: what happens if the
order of differentiation is reversed?
Example 6 Find
∂2
z
∂y∂x
=
∂
∂y
∂z
∂x
if z = e(x3
+y2
)
.
Solution
First with y constant
∂z
∂x
= 3x2
e(x3
+y2
)
(using the chain rule).
Second with x constant
∂2
z
∂y∂x
=
∂
∂y
3x2
e(x3
+y2
)
= 2y3x2
e(x3
+y2
)
= 6x2
ye(x3
+y2
)
=
∂2
z
∂x∂y
.
As a general rule, when calculating mixed derivatives the order of
differentiation may be reversed without affecting the final result.
12. Section 3: Higher Order Partial Derivatives 12
Exercise 3. Confirm the statement on the previous page by finding
both
∂2
z
∂x∂y
and
∂2
z
∂y∂x
for each of the following functions, whose first
order partial derivatives have already been found in exercise 2. (Click
on the green letters for solutions.)
(a) z = (x2
+3x) sin(y), (b) z =
cos(x)
y5
, (c) z = ln(xy),
(d) z = sin(x) cos(xy), (e) z = e(x2
+y2
)
, (f) z = sin(x2
+ y).
Notation For first and second order partial derivatives there is a
compact notation. Thus
∂f
∂x
can be written as fx and
∂f
∂y
as fy.
Similarly
∂2
f
∂x2
is written fxx while
∂2
f
∂x∂y
is written fxy.
Quiz If z = e−y
sin(x), which of the following is zxx + zyy?
(a) e−y
sin(x), (b) 0, (c) −e−y
sin(x), (d) −e−y
cos(x).
13. Section 4: Quiz on Partial Derivatives 13
4. Quiz on Partial Derivatives
Choose the correct option for each of the following.
Begin Quiz
1. If z = x2
+ 3xy + y3
then
∂z
∂x
is
(a) 2x + 3y + 3y2
, (b) 2x + 3x + 3y2
,
(c) 2x + 3x , (d) 2x + 3y .
2. If w = 1/r, where r2
= x2
+ y2
+ z2
, then xwx + ywy + zwz is
(a) −1/r , (b) 1/r , (c) −1/r2
, (d) 1/r2
.
3. If u =
r
x
y
then uxx is
(a) −
1
4
p
y3x3
, (b) −
1
4
p
yx3
, (c) −
1
8
p
y3x3
, (d) −
1
8
p
yx3
.
End Quiz
14. Solutions to Exercises 14
Solutions to Exercises
Exercise 1(a) To calculate the partial derivative
∂z
∂x
of the function
z = x2
y4
, the factor y4
is treated as a constant:
∂z
∂x
=
∂
∂x
x2
y4
=
∂
∂x
x2
× y4
= 2x(2−1)
× y4
= 2xy4
.
Similarly, to find the partial derivative
∂z
∂y
, the factor x2
is treated
as a constant:
∂z
∂y
=
∂
∂y
x2
y4
= x2
×
∂
∂y
y4
= x2
× 4y(4−1)
= 4x2
y3
.
Click on the green square to return
15. Solutions to Exercises 15
Exercise 1(b) To calculate
∂z
∂x
for the function z = (x4
+ x2
)y3
, the
factor y3
is treated as a constant:
∂z
∂x
=
∂
∂x
(x4
+ x2
)y3
=
∂
∂x
x4
+ x2
× y3
= (4x3
+ 2x)y3
.
To find the partial derivative
∂z
∂y
the factor (x4
+ x2
) is treated as a
constant:
∂z
∂y
=
∂
∂y
(x4
+ x2
)y3
= (x4
+ x2
) ×
∂
∂y
y3
= 3(x4
+ x2
)y2
.
Click on the green square to return
16. Solutions to Exercises 16
Exercise 1(c) If z = y
1
2 sin(x) then to calculate
∂z
∂x
the y
1
2 factor is
kept constant:
∂z
∂x
=
∂
∂x
y
1
2 sin(x)
= y
1
2 ×
∂
∂x
(sin(x)) = y
1
2 cos(x) .
Similarly, to evaluate the partial derivative
∂z
∂y
the factor sin(x) is
treated as a constant:
∂z
∂y
=
∂
∂y
y
1
2 sin(x)
=
∂
∂y
y
1
2 × sin(x) =
1
2
y− 1
2 sin(x) .
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17. Solutions to Exercises 17
Exercise 2(a) The function z = (x2
+ 3x) sin(y) can be written as
z = uv , where u = (x2
+ 3x) and v = sin(y) . The partial derivatives
of u and v with respect to the variable x are
∂u
∂x
= 2x + 3 ,
∂v
∂x
= 0 ,
while the partial derivatives with respect to y are
∂u
∂y
= 0 ,
∂v
∂y
= cos(y) .
Applying the product rule
∂z
∂x
=
∂u
∂x
v + u
∂v
∂x
= (2x + 3) sin(y) .
∂z
∂y
=
∂u
∂y
v + u
∂v
∂y
= (x2
+ 3x) cos(y) .
Click on the green square to return
18. Solutions to Exercises 18
Exercise 2(b)
The function z =
cos(x)
y5
can be written as z = cos(x)y−5
.
Treating the factor y−5
as a constant and differentiating with respect
to x:
∂z
∂x
= − sin(x)y−5
= −
sin(x)
y5
.
Treating cos(x) as a constant and differentiating with respect to y:
∂v
∂y
= cos(x)(−5y−6
) = −5
cos(x)
y6
.
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19. Solutions to Exercises 19
Exercise 2(c) The function z = ln(xy) can be rewritten as (see the
package on logarithms)
z = ln(xy) = ln(x) + ln(y) .
Thus the partial derivative of z with respect to x is
∂z
∂x
=
∂
∂x
(ln(x) + ln(y)) =
∂
∂x
ln(x) =
1
x
.
Similarly the partial derivative of z with respect to y is
∂z
∂y
=
∂
∂y
(ln(x) + ln(y)) =
∂
∂y
ln(y) =
1
y
.
Click on the green square to return
20. Solutions to Exercises 20
Exercise 2(d) To calculate the partial derivatives of the function
z = sin(x) cos(xy) the product rule has to be applied
∂z
∂x
= cos(xy)
∂
∂x
sin(x) + sin(x)
∂
∂x
cos(xy) ,
∂z
∂y
= cos(xy)
∂
∂y
sin(x) + sin(x)
∂
∂y
cos(xy) .
Using the chain rule with u = xy for the partial derivatives of cos(xy)
∂
∂x
cos(xy) =
∂ cos(u)
∂u
∂u
∂x
= − sin(u)y = −y sin(xy) ,
∂
∂y
cos(xy) =
∂ cos(u)
∂u
∂u
∂y
= − sin(u)x = −x sin(xy) .
Thus the partial derivatives of z = sin(x) cos(xy) are
∂z
∂x
= cos(xy) cos(x) − y sin(x) sin(xy) ,
∂z
∂y
= −x sin(x) sin(xy) .
Click on the green square to return
21. Solutions to Exercises 21
Exercise 2(e) To calculate the partial derivatives of z = e(x2
+y2
)
the
chain rule has to be applied with u = (x2
+ y2
):
∂z
∂x
=
∂
∂u
(eu
)
∂u
∂x
= eu ∂u
∂x
,
∂z
∂y
=
∂
∂u
(eu
)
∂u
∂y
= eu ∂u
∂y
.
The partial derivatives of u = (x2
+ y2
) are
∂u
∂x
=
∂(x2
)
∂x
= 2x ,
∂u
∂y
=
∂(y2
)
∂y
= 2y .
Therefore the partial derivatives of the function z = e(x2
+y2
)
are
∂z
∂x
= eu ∂u
∂x
= 2x e(x2
+y2
)
,
∂z
∂x
= eu ∂u
∂x
= 2y e(x2
+y2
)
.
Click on the green square to return
22. Solutions to Exercises 22
Exercise 2(f) Applying the chain rule with u = x2
+ y the partial
derivatives of the function z = sin(x2
+ y) can be written as
∂z
∂x
=
∂
∂u
(sin(u))
∂u
∂x
= cos(u)
∂u
∂x
,
∂z
∂y
=
∂
∂u
(sin(u))
∂u
∂y
= cos(u)
∂u
∂y
.
The partial derivatives of u = x2
+ y are
∂u
∂x
=
∂x2
∂x
= 2x ,
∂u
∂y
=
∂y
∂y
= 1 .
Thus the partial derivatives of the function z = sin(x2
+ y) are
∂z
∂x
= cos(u)
∂u
∂x
= 2x cos(x2
+ y) ,
∂z
∂y
= cos(u)
∂u
∂y
= cos(x2
+ y) .
Click on the green square to return
23. Solutions to Exercises 23
Exercise 3(a)
From exercise 2(a), the first order partial derivatives of
z = (x2
+ 3x) sin(y) are
∂z
∂x
= (2x + 3) sin(y) ,
∂z
∂y
= (x2
+ 3x) cos(y) .
The mixed second order derivatives are
∂2
z
∂x∂y
=
∂
∂x
∂z
∂y
=
∂
∂x
(x2
+ 3x) cos(y)
= (2x + 3) cos(y) ,
∂2
z
∂y∂x
=
∂
∂y
∂z
∂x
=
∂
∂y
((2x + 3) sin(y)) = (2x + 3) cos(y) .
Click on the green square to return
24. Solutions to Exercises 24
Exercise 3(b)
From exercise 2(b), the first order partial derivatives of z =
cos(x)
y5
are
∂z
∂x
= −
sin(x)
y5
,
∂z
∂y
= − 5
cos(x)
y6
,
so the mixed second order derivatives are
∂2
z
∂x∂y
=
∂
∂x
∂z
∂y
=
∂
∂x
−5
cos(x)
y6
= 5
sin(x)
y6
,
∂2
z
∂y∂x
=
∂
∂y
∂z
∂x
=
∂
∂y
−
sin(x)
y5
= 5
sin(x)
y6
.
Click on the green square to return
25. Solutions to Exercises 25
Exercise 3(c)
From exercise 2(c), the first order partial derivatives of z = ln(xy)
are
∂z
∂x
=
1
x
,
∂z
∂y
=
1
y
.
The mixed second order derivatives are
∂2
z
∂x∂y
=
∂
∂x
∂z
∂y
=
∂
∂x
1
y
= 0 ,
∂2
z
∂y∂x
=
∂
∂y
∂z
∂x
=
∂
∂y
1
x
= 0 .
Click on the green square to return
26. Solutions to Exercises 26
Exercise 3(d) From exercise 2(d), the first order partial derivatives
of z = sin(x) cos(xy) are
∂z
∂x
= cos(x) cos(xy) − y sin(x) sin(xy) ,
∂z
∂y
= − x sin(x) sin(xy) .
The mixed second order derivatives are
∂2
z
∂x∂y
=
∂
∂x
∂z
∂y
=
∂
∂x
(−x sin(x) sin(xy))
= − sin(x) sin(xy) − x cos(x) sin(xy) − xy sin(x) cos(xy) ,
∂2
z
∂y∂x
=
∂
∂y
∂z
∂x
=
∂
∂y
(cos(x) cos(xy) − y sin(x) sin(xy))
= −x cos(x) sin(xy) − sin(x) sin(xy) − xy sin(x) cos(xy) .
N.B. In the solution above a product of three functions has been
differentiated. This can be done by using two applications of the
product rule.
Click on the green square to return
27. Solutions to Exercises 27
Exercise 3(e) From exercise 2(e), the first order partial derivatives
of z = e(x2
+y2
)
are
∂z
∂x
= 2xe(x2
+y2
)
,
∂z
∂y
= 2ye(x2
+y2
)
.
The mixed second order derivatives are thus
∂2
z
∂x∂y
=
∂
∂x
∂z
∂y
=
∂
∂x
2ye(x2
+y2
)
= 4xye(x2
+y2
)
,
∂2
z
∂y∂x
=
∂
∂y
∂z
∂x
=
∂
∂y
2xe(x2
+y2
)
= 4yxe(x2
+y2
)
.
Click on the green square to return
28. Solutions to Exercises 28
Exercise 3(f) From exercise 2(f), the first order partial derivatives
of z = sin(x2
+ y) are
∂z
∂x
= 2x cos(x2
+ y) ,
∂z
∂y
= cos(x2
+ y) .
The mixed second order derivatives are thus
∂2
z
∂x∂y
=
∂
∂x
∂z
∂y
=
∂
∂x
cos(x2
+ y)
= −2x sin(x2
+ y) ,
∂2
z
∂y∂x
=
∂
∂y
∂z
∂x
=
∂
∂y
2x cos(x2
+ y)
= −2x sin(x2
+ y) .
Click on the green square to return
29. Solutions to Quizzes 29
Solutions to Quizzes
Solution to Quiz:
To determine which of the options is correct, the partial derivatives
of z = cos(xy) must be calculated. From the calculations of exercise
2(d) the partial derivatives of z = cos(xy) are
∂
∂x
cos(xy) =
∂ cos(u)
∂u
∂u
∂x
= − sin(u)y = −y sin(xy) ,
∂
∂y
cos(xy) =
∂ cos(u)
∂u
∂u
∂y
= − sin(u)x = −x sin(xy) .
Therefore
1
y
∂
∂x
cos(xy) = − sin(xy) =
1
x
∂
∂y
cos(xy) .
The other choices, if checked, will be found to be false. End Quiz
30. Solutions to Quizzes 30
Solution to Quiz:
The first order derivatives of z = e−y
sin(x) are
zx = e−y
cos(x) , zy = − e−y
sin(x) ,
where e−y
is kept constant for the first differentiation and sin(x) for
the second. Continuing in this way, the second order derivatives zxx
and zyy are given by the expressions
zxx =
∂
∂x
∂z
∂x
=
∂
∂x
e−y
cos(x)
= −e−y
sin(x) ,
zyy =
∂
∂y
∂z
∂y
=
∂
∂y
−e−y
sin(x)
= e−y
sin(x) .
Adding these two equations together gives
zxx + zyy = 0 .
End Quiz