critical points/ stationary points , turning points,Increasing, decreasing functions, absolute maxima & Minima, Local Maxima & Minima , convex upward & convex downward - first & second derivative tests.
Continuity says that the limit of a function at a point equals the value of the function at that point, or, that small changes in the input give only small changes in output. This has important implications, such as the Intermediate Value Theorem.
Continuity says that the limit of a function at a point equals the value of the function at that point, or, that small changes in the input give only small changes in output. This has important implications, such as the Intermediate Value Theorem.
Applied Calculus: Continuity and Discontinuity of Functionbaetulilm
Lecture #: 04: "Continuity and Discontinuity of Function" with in a course on Applied Calculus offered at Faculty of Engineering, University of Central Punjab
By: Prof. Muhammad Rafiq.
Applied Calculus: Continuity and Discontinuity of Functionbaetulilm
Lecture #: 04: "Continuity and Discontinuity of Function" with in a course on Applied Calculus offered at Faculty of Engineering, University of Central Punjab
By: Prof. Muhammad Rafiq.
Partial differentiation, total differentiation, Jacobian, Taylor's expansion, stationary points,maxima & minima (Extreme values),constraint maxima & minima ( Lagrangian multiplier), differentiation of implicit functions.
Pre-calculus 1, 2 and Calculus I (exam notes)William Faber
Notes I typed using Microsoft Word for pre-calculus and calculus exams. Most of the images were also created by me. I shared them with other students in my class to increase their chance of success as well. Upon completion of the courses I donated them to the math center to help other math students.
Some types of matrices, Eigen value , Eigen vector, Cayley- Hamilton Theorem & applications, Properties of Eigen values, Orthogonal matrix , Pairwise orthogonal, orthogonal transformation of symmetric matrix, denationalization of a matrix by orthogonal transformation (or) orthogonal deduction, Quadratic form and Canonical form , conversion from Quadratic to Canonical form, Order, Index Signature, Nature of canonical form.
Basic concepts of integration, definite and indefinite integrals,properties of definite integral, problem based on properties,method of integration, substitution, partial fraction, rational , irrational function integration, integration by parts, reduction formula, improper integral, convergent and divergent of integration
Periodic Function, Dirichlet's Condition, Fourier series, Even & Odd functions, Euler's Formula for Fourier Coefficients, Change of Interval, Fourier series in the intervals (0,2l), (-l,l) , (-pi, pi), (0, 2pi), Half Range Cosine & Sine series Root mean square, Complex Form of Fourier series, Parseval's Identity
To find the complete solution to the second order PDE
(i.e) To find the Complementary Function & Particular Integral for a second order (Higher Order) PDE
Cauchy's integral theorem, Cauchy's integral formula, Cauchy's integral formula for derivatives, Taylor's Series, Maclaurin’s Series,Laurent's Series,Singularities and zeros, Cauchy's Residue theorem,Evaluation various types of complex integrals.
Complementary function, particular integral,homogeneous linear functions with constant variables, Euler Cauchy's equation, Legendre's equation, Method of variation of parameters,Simultaneous first order linear differential equation with constant coefficients,
Methods of integration, integration of rational algebraic functions, integration of irrational algebraic functions, definite integrals, properties of definite integral, integration by parts, Bernoulli's theorem, reduction formula
Analytic Function, C-R equation, Harmonic function, laplace equation, Construction of analytic function, Critical point, Invariant point , Bilinear Transformation
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
2. Increasing function
Let 𝑦 = 𝑓(𝑥) be a differentiable function on an interval (𝑎, 𝑏). If for any two
points 𝑥1, 𝑥2 ∈(a,b) such that 𝑥1 < 𝑥2, there holds the inequality 𝑓(𝑥1) ≤ 𝑓(𝑥2), the
function is called increasing (or non-decreasing) in this interval.
If this inequality is strict, i.e. 𝑓(𝑥1) < 𝑓(𝑥2), then the function 𝑦 = 𝑓(𝑥) is said to
be strictly increasing on the interval ( 𝑎 , 𝑏).
when x1 < x2 then
f(x1) ≤ f(x2)
Increasing
when x1 < x2 then
f(x1) < f(x2)
Strictly Increasing
3.
4. Decreasing Function
Let 𝑦 = 𝑓(𝑥) be a differentiable function on an interval (𝑎, 𝑏). If for any two
points 𝑥1, 𝑥2 ∈(a,b) such that 𝑥1 < 𝑥2, there holds the inequality 𝑓(𝑥1) ≥
𝑓(𝑥2), the function is called decreasing (or non-increasing) in this interval.
If this inequality is strict, i.e. 𝑓 𝑥1 > 𝑓(𝑥2), then the function 𝑦 = 𝑓(𝑥) is
said to be strictly decreasing on the interval ( 𝑎 , 𝑏).
when x1 < x2 then
f(x1) ≥ f(x2)
Decreasing
when x1 < x2 then
f(x1) > f(x2)
Strictly Decreasing
7. Interval Type of function
(-5,-2) Increasing
(-2,1) Constant
(1,3) Increasing
(3,5) decreasing
8.
9. Method to check whether given function y = f(x) is increasing and
decreasing functions
• Step 1. Find f’(x)
• Step 2. Let f’(x) = 0 and find the values of x
let it be 𝑥1 and 𝑥2 (critical points)
• Step 3. Split the real line (−∞, ∞ ) using the points 𝑥1 𝑎𝑛𝑑 𝑥2
−∞, 𝑥1 , 𝑥1, 𝑥2 , [𝑥2, ∞)
• Step 4. Check the value of f’(x) in each interval at any point in that interval
• If f’(x) > 0 , then the function is increasing in that particular interval
• If f’(x) < 0 , then the function is decreasing in that particular interval
• If f’(x) = 0 , then the function is constant in that particular interval
10. Problem 1
𝐈𝐟 𝒇(𝒙) = 𝒙 𝟑
+ 𝒙 𝟐
− 𝒙 + 𝟏 , then find intervals on which 𝒇 is increasing or
decreasing.
Solution:
Given 𝑓(𝑥) = 𝑥3 + 𝑥2 − 𝑥 +1 ------- (1)
Differ. w.r.to x
𝑓′
𝑥 = 3𝑥2
+ 2𝑥 − 1 ------- (2)
Put 𝒇′ 𝒙 = 𝟎 & solve
⟹ 3𝑥2
+ 2𝑥 − 1 = 0
⟹ 3𝑥2
+ 3𝑥 − 𝑥 − 1 = 0
⟹ 3𝑥(𝑥 + 1) − (𝑥 + 1) = 0
⟹ (3𝑥 − 1)(𝑥 + 1) = 0
⟹ 3𝑥 − 1 = 0 or 𝑥 + 1 = 0
⟹ 𝑥 =
1
3
or 𝑥 = −1
Now we have to check the sign of first derivative in every interval to find the
function is increasing or decreasing.
11. Consider the real line (−∞, ∞)
Split the line using the points 𝑥 = −1, 𝑥 =
1
3
The intervals are −∞, −1 , −1,
1
3
,
1
3
, ∞
Consider the interval −∞, −1
Choose any point in −∞, −1 , say −2
Put 𝑥 = −2 𝑖𝑛 (2)
2 ⟹ 𝑓′
2 = 3 −2 2
+ 2 −2 − 1
= 3 4 − 4 − 1 = 12 − 5 = 7 > 0 (+ value)
Hence f(x) is increasing in the interval −∞, −1
12. Consider the interval −1,
1
3
Choose any point in −1,
1
3
, say 0
Put 𝑥 = 0 𝑖𝑛 (2)
2 ⟹ 𝑓′
0 = 3 0 2
+ 2 0 − 1
= −1 < 0 (- value)
Hence f(x) is decreasing in the interval −1,
1
3
Consider the interval
1
3
, ∞
Choose any point in
1
3
, ∞ , say 2
Put 𝑥 = 2 𝑖𝑛 (2)
2 ⟹ 𝑓′
2 = 3 2 2
+ 2 2 − 1
= 3 4 + 4 − 1 = 12 + 3 = 15 > 0 (+ value)
Hence f(x) is increasing in the interval
1
3
, ∞
15. Problem 2:
Find the intervals of increase and decrease of the function 𝒇(𝒙) = 𝒙 𝟑
− 𝟑𝒙 + 𝟐.
Solution:
Given 𝑓 𝑥 = 𝑥3
− 3𝑥 + 2 −−−− −(1)
Diff . (1) w.r.to x
𝑓′(𝑥) = 3𝑥2
− 3 ------------- (2)
Put 𝒇′
𝒙 = 𝟎 & solve
3𝑥2
− 3 = 0
3𝑥2
= 3
𝑥2
= 1
⟹ 𝑥 = ± 1 = −1 𝑜𝑟 1
𝒙 = −𝟏 𝒂𝒏𝒅 𝒙 = 𝟏
Now we have to check the sign of first derivative in every interval to find the function is
increasing or decreasing.
16. Consider the real line (−∞, ∞)
Split the line using the points 𝒙 = −𝟏 𝒂𝒏𝒅 𝒙 = 𝟏
The intervals are −∞, −1 , −1,1 , (1, ∞)
Consider the interval (−∞, −1),
Choose any point in (−∞, −1), say -2
Put x = −2 in (2)
2 ⟹ 𝑓’(−2) = 3(−2)2 − 3
𝑓’(−2) = 12 − 3
𝑓’(−2) = 9 > 0
Hence f(x) is increasing in the interval −∞, −1
17. Consider the interval (−1, 1),
Choose any point in (−1, 1), say 𝑥 = 0
𝑃𝑢𝑡 𝑥 = 0 𝑖𝑛 (2)
𝑓′(0) = 3 0 2
− 3
𝑓′(0) = −3 < 0
Hence f(x) is decreasing in the interval (−1, 1)
Consider the interval (1, ∞),
Choose any point in (1, ∞), say 𝑥 = 2
𝑃𝑢𝑡 𝑥 = 2 𝑖𝑛 (2)
𝑓′(2) = 3 2 2
− 3
𝑓′(2) = 12 − 3
𝑓′(2) = 9 > 0
Hence, the function f(x) is increasing in the interval (1, ∞),
19. Problem 3:
Find the intervals in which the function f(x) = 2x3 – 3x2 -36x +7 is Strictly Increasing &
Strictly Decreasing.
Solution:
Given 𝑓(𝑥) = 2𝑥3
– 3𝑥2
− 36𝑥 + 7 --------- (1)
Diff (1) w.r.to x,
𝑓ꞌ(𝑥) = 6𝑥2
– 6𝑥 − 36 -------- (2)
Put 𝒇′
𝒙 = 𝟎 & solve
6 𝑥2
– 𝑥 − 6 = 0
6 𝑥2
– 3𝑥 + 2𝑥 – 6 = 0
6[𝑥(𝑥 – 3) + 2(𝑥 – 3)]=0
6 𝑥 + 2 𝑥 – 3 = 0
⟹ 𝑥 = −2, 3
Now we have to check the sign of first derivative in every interval to find the function is
increasing or decreasing.
20. Consider the real line (−∞, ∞)
Split the line using the points 𝒙 = −𝟐 𝒂𝒏𝒅 𝒙 = 𝟑
The intervals are (−∞, −2), (−2, 3), (3, ∞)
Consider the interval (−∞, −2),
Choose any point in (−∞, −2), 𝑠𝑎𝑦 𝑥 = −3
Put 𝑥 = −3 in (2)
𝑓’(−3) = 6[(𝑥 + 2) (𝑥 – 3)]
𝑓’(−3) = 6[(− 3 + 2) (− 3 – 3)]
𝑓’(−3) = 6[(−1) (− 6)]
= 6(6)
= 36 > 0
Hence the function f(x) is strictly increasing in the interval (−∞, −2)
21. Consider the interval (−2, 3),
Choose any point in (−2, 3), 𝑠𝑎𝑦 𝑥 = 0
𝑃𝑢𝑡 𝑥 = 0 𝑖𝑛 2
𝑓′(0) = 6[(0 + 2) (0 – 3)]
𝑓′(0) = 6( – 6)
= – 36 < 0
Hence the function f(x) strictly decreasing in the interval (−2, 3)
Consider the interval (3, ∞),
Choose any point in (3, ∞), 𝑠𝑎𝑦 𝑥 = 4
𝑃𝑢𝑡 𝑥 = 4 𝑖𝑛 (2)
𝑓′(4) = 6[(4 + 2) (4 – 3)]
𝑓′(4) = 6[6.1]
= 36 > 0
Hence, the function is strictly Increasing in the interval (3, ∞)
24. Note :
There are two types of maximum & Minimum
One is Absolute / Global Maximum or Minimum.
Another one is Local/relative Maximum or Minimum
The maximum or minimum over the entire function is called an "Absolute" or
"Global" maximum or minimum.
The maximum or minimum over a particular interval of the function is called
“Local” or “Relative” maximum or minimum.
There is only one global maximum (and one global minimum) but there can be
more than one local maximum or minimum.
25. A function 𝑓(𝑥) has an absolute (or global) maximum at 𝑥 = 𝑎
if 𝑓(𝑥) ≤ 𝑓(𝑎) for every 𝑥 in the domain we are working on.
A function 𝑓(𝑥) has an absolute (or global) minimum at 𝑥 = 𝑎
if 𝑓(𝑥) ≥ 𝑓(𝑎) for every 𝑥 in the domain we are working on.
A function 𝑓(𝑥) has a relative (or local) maximum at 𝑥 = 𝑎
if 𝑓(𝑥) ≤ 𝑓(𝑎) for every 𝑥 in some open interval around 𝑥 = 𝑎.
A function 𝑓(𝑥) has a relative (or local) minimum at 𝑥 = 𝑎
if 𝑓(𝑥) ≥ 𝑓(𝑎) for every 𝑥 in some open interval around 𝑥 = 𝑎.
Note :
A function f has a local extremum at a if f has a local maximum at a or f has a
local minimum at a.
A function f has a absolute extremum at a if f has a absolute maximum at a or f
has a absolute minimum at a.
26.
27.
28. We know that the gradient of a graph is given by
𝑑𝑦
𝑑𝑥
or 𝑓’(𝑥)
Consequently,
𝑑𝑦
𝑑𝑥
= 0 at points A, B and C. All of these points are known as stationary
points
29. Stationary Points/ Critical points
Any point at which the tangent to the graph is horizontal is called a stationary
point.
We can locate stationary points by looking for points at which
𝑑𝑦
𝑑𝑥
= 0 or
𝑓’(𝑥) = 0
Turning Points
Note that at points A and B the curve has turns. These two stationary points
are referred to as turning points. Point C is not a turning point because,
although the graph is flat for a short time, the curve continues to go down as
we look from left to right.
So, all turning points are stationary points.
But not all stationary points are turning points (e.g. point C).
In other words, there are points for which
𝑑𝑦
𝑑𝑥
= 0 which are not turning points.
At a turning point
𝑑𝑦
𝑑𝑥
= 0.
Not all points where
𝑑𝑦
𝑑𝑥
= 0, are turning points, i.e. not all stationary points
are turning points
31. Method to find Absolute Maximum(Global Maximum) and Absolute
Minimum (Global Minimum) of given function y = f(x) in [a, b]
(First derivative test)
Step 1. Find f’(x)
Step 2. Let f’(x) = 0 and find the values of x
let it be 𝑥1 and 𝑥2 (critical points)
Step 3. Find the value of f(x) at the points a, b, 𝑥1 and 𝑥2
say 𝑓(𝑎) , 𝑓(𝑏) , 𝑓(𝑥1) , 𝑓(𝑥2)
The highest value of these 𝒇(𝒂) , 𝒇(𝒃) , 𝒇(𝒙 𝟏) , 𝒇(𝒙 𝟐)
is the absolute / global maximum of the function
The lowest value of these 𝒇(𝒂) , 𝒇(𝒃) , 𝒇(𝒙 𝟏) , 𝒇(𝒙 𝟐)
is the absolute / global minimum of the function
32. Problem 1:
Find the absolute maximum and absolute minimum over the specified interval and state where those
values occur. 𝒇 𝒙 = 𝒙 𝟐
+ 𝟑𝒙 − 𝟐 𝒐𝒗𝒆𝒓 [𝟏, 𝟑]
Solution:
Given 𝑓 𝑥 = 𝑥2
+ 3𝑥 − 2 ------ (1)
Diff . w.r.t 𝑥
𝑓’(𝑥) = 2𝑥 + 3
Put 𝑓’(𝑥) = 0
⟹ 2𝑥 + 3 = 0
⟹ 𝑥 = −
3
2
Put 𝑥 = −
3
2
in (1)
𝑓 −
3
2
= −
3
2
2
+ 3 −
3
2
− 2
=
9
4
−
9
2
− 2 =
9−18−36
4
= −
45
4
Given interval is [1,3]
Put 𝑥 = 1 in (1)
𝑓(1) = 1 2
+ 3(1) − 2
= 1 + 3 − 2 = 2
Put 𝑥 = 3 in (1)
𝑓(3) = 2 2
+ 3(2) − 2
= 4 + 6 − 2 = 8
40. Condition for Minimum (Second Derivative Test)
Notice that to the left of the minimum point,
𝑑𝑦
𝑑𝑥
is negative because the tangent has negative gradient. At the
minimum point,
𝑑𝑦
𝑑𝑥
= 0. To the right of the minimum point
𝑑𝑦
𝑑𝑥
is positive, because here the tangent has a
positive gradient. So,
𝑑𝑦
𝑑𝑥
goes from negative, to zero, to positive as x increases. In other words,
𝑑𝑦
𝑑𝑥
must be
increasing as x increases.
In fact, we can use this observation, once we have found a stationary point, to check if the point is a
minimum. If
𝑑𝑦
𝑑𝑥
is increasing near the stationary point then that point must be minimum.
Now, if the derivative of
𝑑𝑦
𝑑𝑥
is positive then we will know that
𝑑𝑦
𝑑𝑥
is increasing; so we will know that the
stationary point is a minimum. Now the derivative of
𝑑𝑦
𝑑𝑥
, called the second derivative, is written
𝑑2 𝑦
𝑑𝑥2 . We
conclude that if
𝑑2 𝑦
𝑑𝑥2 is positive at a stationary point, then that point must be a minimum turning point.
If
𝑑𝑦
𝑑𝑥
= 0 at a point, and if
𝑑2 𝑦
𝑑𝑥2 > 0 there, then that point must be a minimum.
41. Notice that to the left of the maximum point,
𝑑𝑦
𝑑𝑥
is positive because the tangent has positive
gradient. At the maximum point,
𝑑𝑦
𝑑𝑥
= 0 . To the right of the maximum point
𝑑𝑦
𝑑𝑥
is negative,
because here the tangent has a negative gradient. So,
𝑑𝑦
𝑑𝑥
goes from positive, to zero, to negative
as x increases.
In fact, we can use this observation to check if a stationary point is a maximum. If
𝑑𝑦
𝑑𝑥
is
decreasing near a stationary point then that point must be maximum.
Now, if the derivative of
𝑑𝑦
𝑑𝑥
is negative then we will know that
𝑑𝑦
𝑑𝑥
is decreasing; so we will
know that the stationary point is a maximum. As before, the derivative of
𝑑𝑦
𝑑𝑥
, the second
derivative is
𝑑2 𝑦
𝑑𝑥2 . We conclude that if
𝑑2 𝑦
𝑑𝑥2 is negative at a stationary point, then that point must be
a maximum turning point.
If
𝑑𝑦
= 0 at a point, and if
𝑑2𝑦
2 < 0 there, then that point must be a maximum.
Condition for Maximum (Second Derivative Test)
42. Method to find Local Maximum(Relative Maximum) and Local
Minimum (Relative Minimum)of the given function y = f(x)
(Second derivative test)
Step 1. Find 𝑓’(𝑥)
Step 2. Let 𝑓’(𝑥) = 0 and find the values of 𝑥
let it be 𝑥1 and 𝑥2 (critical points)
Step 3. Find 𝑓’’(𝑥)
Step 4. Find the value of 𝑓’’(𝑥) at 𝑥1 and 𝑥2
If 𝑓’’(𝑥) < 0, then at that particular point 𝑓(𝑥) has maximum value
The value 𝑓(𝑥) at this point is local/ relative maximum
If 𝑓’’(𝑥) > 0, then at that point 𝑓(𝑥) has minimum value
The value 𝑓(𝑥) at this point is local/ relative minimum
43. Problem 1:
Find the maxima and minima of the function 𝟐𝒙 𝟑
− 𝟑𝒙 𝟐
− 𝟑𝟔𝒙 + 𝟏𝟎
Solution:
Given 𝑓 𝑥 = 2𝑥3
− 3𝑥2
− 36𝑥 + 10 -------- (1)
Diff. w.r.to x,
𝑓′
𝑥 = 6𝑥2
− 6𝑥 − 36 ---------- (2)
Put 𝑓′
𝑥 = 0
⟹ 6𝑥2
− 6𝑥 − 36 = 0
⟹ 6 𝑥2
− 𝑥 − 6 = 0
⟹ 𝑥2
− 𝑥 − 6 = 0
⟹ 𝑥 − 3 𝑥 + 2 = 0
⟹ 𝑥 − 3 = 0 , 𝑥 + 2 = 0 ⇒ 𝑥 = 3 , 𝑥 = −2 (These are called critical points)
44. Diff. (2) w.r.to x,
𝑓′′
𝑥 = 12𝑥 − 6
𝑓′′
𝑥 𝑎𝑡 𝑥=3 = 12 3 − 6 = 36 − 6 = 30 > 0 ( + 𝑖𝑣𝑒)
Hence at 𝑥 = 3 , 𝑓 𝑥 has minimum
𝑓′′
𝑥 𝑎𝑡 𝑥=−2 = 12 −2 − 6 = −24 − 6 = −30 < 0 (− 𝑖𝑣𝑒)
Hence at 𝑥 = −2 , 𝑓 𝑥 has maximum
To find the maximum & minimum values:
Maximum value :
Put 𝑥 = −2 in (1)
𝑓 −2 = 2(−2)3
−3 −2 2
− 36(−2) + 10
45. = 2(−8) −3 4 + 72 + 10 = −16 − 12 + 82 = −28 + 82 = 54
Hence the maximum value of the function 𝑓(𝑥) is 54 at the point 𝑥 = −2
Minimum Value:
Put 𝑥 = 3 in (1)
𝑓 3 = 2(3)3
−3 3 2
− 36(3) + 10
= 2(27) −3 9 − 36 3 + 10 = 54 − 27 − 108 + 10 = 26 − 84 = −71
Hence the minimum value of the function 𝑓(𝑥) is -71 at the point 𝑥 = 3
53. Concave upward
Concave upward is when the slope increases
Concave Upward is also called Convex or Convex Downward
A piece of the graph of 𝑓 is concave upward if the curve ‘bends’ upward.
𝑓(𝑥) is concave up on an interval I if all of the tangents to the curve on I are below the
graph of 𝑓(𝑥).
https://www.desmos.com/calculator/m9gglm2r8x
For example, the popular parabola 𝑦 = 𝑥2
is concave upward in its entirety.
54. Concave downward
Concave downward is when the slope decreases
Concave Upward is also called Convex or Convex Downward
A piece of the graph of 𝑓 is concave downward if the curve ‘bends’ downward.
𝑓(𝑥) is concave down on an interval II if all of the tangents to the curve on II are
above the graph of 𝑓(𝑥).
For example, a ‘flipped’ version 𝑦 = −𝑥2
of the popular parabola is concave
downward in its entirety
https://www.desmos.com/calculator/ozas4xltl4
55. Point of inflection
A point where the concavity changes (from up to down or down to up) is called
a point of inflection (POI).
A point of inflection of the graph of a function 𝑓 is a point where the second
derivative 𝑓′′ is 0.
If the graph of 𝑦 = 𝑓 (𝑥) has a point of inflection then 𝑦 = 𝑓 "(x) = 0.
56.
57.
58. Method to find concave / Convex upward/downward of given
function y = f(x)
Step 1. Find 𝑓’(𝑥)
Step 2 Find 𝑓’’(𝑥)
Step 3. Find the value of 𝑥 when 𝑓’’(𝑥) = 0
Let it be 𝑥1 and 𝑥2
Step 4. Split the real line (−∞, ∞ ) using the points 𝑥1 𝑎𝑛𝑑 𝑥2
−∞, 𝑥1 , 𝑥1, 𝑥2 , [𝑥2, ∞)
Step 5. Check the value of 𝑓’’(𝑥) in each interval at any point in that interval
If 𝒇’’(𝒙) > 𝟎 , then the function is concave upwards in that particular interval
If 𝒇’’(𝒙) < 𝟎 , then the function is concave downwards in that particular interval
59. Problem 1
Find the interval in which the function 𝒇(𝒙) = 𝟓𝒙 𝟑 + 𝟑𝟎𝒙 𝟐 + 𝒙 + 𝟏
Concave down/up.
Solution:
Given 𝑓(𝑥) = 5𝑥3 + 30𝑥2 + 𝑥 + 1 ------ (1)
Diff (1) w.r.to x,
𝑓′
𝑥 = 15𝑥2
+ 60𝑥 + 1 -------- (2)
Diff (2) w.r.to x,
𝑓′′ 𝑥 = 30𝑥 + 60 --------- (3)
Put 𝑓′′ 𝑥 = 0
⟹ 30𝑥 + 60 = 0
⟹ 30(𝑥 + 2) = 0
⟹ (𝑥 + 2) = 0
⟹ 𝑥 = −2 (point of inflection)
Consider the real line (−∞, ∞)
60. Split the real line by 𝑥 = −2
−∞ −2 +∞
The intervals are −∞, −2 , (−2, ∞)
Consider the interval −∞, −2
Choose any point in −∞, −2 , say −3
Put 𝑥 = −3 in (3)
𝑓′′
−3 = 30 −3 + 60 = −90 + 60 = −30 < 0
Hence in this interval , the function 𝑓(𝑥) is concave down.
Consider the interval (−2, ∞)
Choose any point in −2, ∞ , say 0
Put 𝑥 = 0 in (3)
𝑓′′ 0 = 30 0 + 60 = 60 > 0
Hence in this interval, the function 𝑓(𝑥) is concave up.
62. Mean value Theorem
If f(x) is continuous in [a, b] and differentiable in (a, b) then there exist a point ‘c’
in (a, b) such that 𝑓’ 𝑐 =
𝑓 𝑏 – 𝑓 𝑎
𝑏−𝑎
Problem 1:
Check whether the function 𝒇 𝒙 = 𝒙 𝟑
− 𝟓𝒙 𝟐
− 𝟑𝒙 in [𝟏, 𝟑] satisfied the Mean
Value Theorem.
Solution
Given 𝑓 𝑥 = 𝑥3
− 5𝑥2
− 3𝑥 -------- (1)
Diff. (1) w.r.to x,
𝑓′ 𝑥 = 3𝑥2 − 10𝑥 − 3 --------- (2)
Given interval is [1, 3]
Here 𝑎 = 1, 𝑏 = 3
W.k.t, by Mean Value Theorem , there exist a point 𝑐 ∈ (𝑎, 𝑏) such that
𝑓’ 𝑐 =
𝑓 𝑏 – 𝑓 𝑎
𝑏−𝑎
-------- (3)
Now 𝑓 𝑏 = 𝑓 3 = 3 3
− 5 3 2
− 3 3 , ( In (1), put 𝑥 = 3)
= 27 − 45 − 9 = −27