This document discusses functions, limits, and continuity. It begins by defining functions, domains, ranges, and some standard real functions like constant, identity, modulus, and greatest integer functions. It then covers limits of functions including one-sided limits and properties of limits. Examples are provided to illustrate evaluating limits using substitution and factorization methods. The overall objectives are to understand functions, domains, ranges, limits of functions and methods to evaluate limits.
We cover the inverses to the trigonometric functions sine, cosine, tangent, cotangent, secant, cosecant, and their derivatives. The remarkable fact is that although these functions and their inverses are transcendental (complicated) functions, the derivatives are algebraic functions. Also, we meet my all-time favorite function: arctan.
We cover the inverses to the trigonometric functions sine, cosine, tangent, cotangent, secant, cosecant, and their derivatives. The remarkable fact is that although these functions and their inverses are transcendental (complicated) functions, the derivatives are algebraic functions. Also, we meet my all-time favorite function: arctan.
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.
Integration Made Easy!
The derivative of a function can be geometrically interpreted as the slope of the curve of the mathematical function f(x) plotted as a function of x. But its implications for the modeling of nature go far deeper than this simple geometric application might imply. After all, you can see yourself drawing finite triangles to discover slope, so why is the derivative so important? Its importance lies in the fact that many physical entities such as velocity, acceleration, force and so on are defined as instantaneous rates of change of some other quantity. The derivative can give you a precise intantaneous value for that rate of change and lead to precise modeling of the desired quantity.
In this video we learn how to solve limits that involve trigonometric functions. It is all based on using the fundamental trigonometric limit, which is proved using the squeeze theorem.
For more lessons: http://www.intuitive-calculus.com/solving-limits.html
Watch video: http://www.youtube.com/watch?v=1RqXMJWcRIA
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.
Integration Made Easy!
The derivative of a function can be geometrically interpreted as the slope of the curve of the mathematical function f(x) plotted as a function of x. But its implications for the modeling of nature go far deeper than this simple geometric application might imply. After all, you can see yourself drawing finite triangles to discover slope, so why is the derivative so important? Its importance lies in the fact that many physical entities such as velocity, acceleration, force and so on are defined as instantaneous rates of change of some other quantity. The derivative can give you a precise intantaneous value for that rate of change and lead to precise modeling of the desired quantity.
In this video we learn how to solve limits that involve trigonometric functions. It is all based on using the fundamental trigonometric limit, which is proved using the squeeze theorem.
For more lessons: http://www.intuitive-calculus.com/solving-limits.html
Watch video: http://www.youtube.com/watch?v=1RqXMJWcRIA
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
3. Function
Domain and Range
Some Standard Real Functions
Algebra of Real Functions
Even and Odd Functions
Limit of a Function; Left Hand and Right Hand Limit
Algebraic Limits : Substitution Method, Factorisation Method,
Rationalization Method
Standard Result
Session Objectives
4. Function
If f is a function from a set A to a set B, we represent it by
ƒ : A B→
If A and B are two non-empty sets, then a rule which associates
each element of A with a unique element of B is called a function
from a set A to a set B.
( )y = ƒ x .
x A to y B,∈ ∈If f associates then we say that y is the image of the
element x under the function or mapping and we write
Real Functions: Functions whose co-domain, is a subset of R
are called real functions.
5. Domain and Range
The set of the images of all the elements under the mapping
or function f is called the range of the function f and represented
by f(A).
( ) ( ){ }The range of f or ƒ A = ƒ x : x A∈ ( )and ƒ A B⊆
The set A is called the domain of the function and the set B is
called co-domain.
ƒ : A B→
6. Domain and Range (Cont.)
For example: Consider a function f from the set of natural
numbers N to the set of natural numbers N
i.e. f : N →N given by f(x) = x2
Domain is the set N itself as the function is defined for all values of N.
Range is the set of squares of all natural numbers.
Range = {1, 4, 9, 16 . . . }
7. Example– 1
Find the domain of the following functions:
( ) ( ) 2
i f x = 9- x ( ) 2
x
ii f(x)=
x -3x+2
( ) 2
Solution: We have f x = 9- x
( )The function f x is defined for
[ ]-3 x 3 x -3, 3⇒ ≤ ≤ ⇒ ∈
( ) ( )2 2
9- x 0 x -9 0 x-3 x+3 0≥ ⇒ ≤ ⇒ ≤
Domain of f = -3, 3∴
8. ( ) 2
x
Solution: ii We have f(x)=
x -3x+2
The function f(x) is not defined for the values of x for which the
denominator becomes zero
Hence, domain of f = R – {1, 2}
Example– 1 (ii)
( ) ( )2
i.e. x -3x+2=0 x-1 x-2 =0 x =1, 2⇒ ⇒
9. Example- 2
[ )Hence, range of f = 0 , ∞
Find the range of the following functions:
( ) ( )i f x = x-3 ( ) ( )ii f x = 1 + 3cos2x
( ) ( )Solution: i We have f x = x-3
( )f x is defined for all x R.
Domain of f = R
∈
∴
| x - 3 | 0 for all x R≥ ∈
| x - 3 | for all x R0⇒ ≤ < ∞ ∈
( )f x for all x R0⇒ ≤ < ∞ ∈
10. -1 ≤ cos2x ≤ 1 for all x∈R
⇒-3 ≤ 3cos2x ≤ 3 for all x∈R
⇒-2 ≤ 1 + 3cos2x ≤ 4 for all x∈R
⇒ -2 ≤ f(x) ≤ 4
Hence , range of f = [-2, 4]
Example – 2(ii)
( ) ( )Solution : ii We have f x = 1 + 3cos2x
( )Domain of cosx is R. f x is defined for all x R
Domain of f = R
∴ ∈
∴
Q
11. Some Standard Real Functions
(Constant Function)
( )
A function f : R R is defined by
f x = c for all x R, where c is a real number.fixed
→
∈
O
Y
X
(0, c) f(x) = c
Domain = R
Range = {c}
12. Domain = R
Range = R
Identity Function
( )
A function I : R R is defined by
I x = x for all x R
→
∈
X
Y
O
450
I(x) = x
13. Modulus Function
( )
A function f : R R is defined by
x, x 0
f x = x =
-x, x < 0
→
≥
f(x) = xf(x) = - x
O
X
Y
Domain = R
Range = Non-negative real numbers
14. y = sinx
– π O
y
2 π
1
x
– 2 π π
– π
O
y
– 1
2 π
1
x
– 2 π π
y = |sinx|
Example
15. Greatest Integer Function
= greatest integer less than or equal to x.
( )
A function f : R R is defined by
f x = x for all x R
→
∈
For example : 2.4 = 2, -3.2 = -4 etc.
16. Algebra of Real Functions
1 2Let ƒ :D R and g:D R be two functions. Then,→ →
1 2Addition: ƒ + g: D D R such that∩ →
( ) ( ) ( ) ( ) 1 2ƒ + g x = ƒ x + g x for all x D D∈ ∩
1 2Subtraction: ƒ - g:D D R such that∩ →
( ) ( ) ( ) ( ) 1 2ƒ - g x = ƒ x - g x for all x D D∈ ∩
Multiplication by a scalar: For any real number k, the function kf is
defined by
( ) ( ) ( ) 1kƒ x = kƒ x such that x D∈
17. Algebra of Real Functions (Cont.)
1 2Product : ƒg: D D R such that∩ →
( ) ( ) ( ) ( ) 1 2ƒg x = ƒ x g x for all x D D∈ ∩
( ){ }1 2
ƒ
Quotient : D D - x : g x = 0 R such that
g
: ∩ →
( )
( )
( )
( ){ }1 2
ƒ xƒ
x = for all x D D - x : g x = 0
g g x
∈ ∩ ÷
18. Composition of Two Functions
1 2Let ƒ :D R and g:D R be two functions. Then,→ →
( ) ( )( ) ( ) ( )
2fog:D R such that
fog x = ƒ g x , Range of g Domain of ƒ
→
⊆
( ) ( )( ) ( ) ( )
1gof :D R such that
gof x =g f x , Range of f Domain of g
→
⊆
19. Let f : R → R+
such that f(x) = ex
and g(x) : R+
→ R such
that g(x) = log x, then find
(i) (f+g)(1) (ii) (fg)(1)
(iii) (3f)(1) (iv) (fog)(1) (v) (gof)(1)
(i) (f+g)(1) (ii) (fg)(1) (iii) (3f)(1)
= f(1) + g(1) =f(1)g(1) =3 f(1)
= e1
+ log(1) =e1
log(1) =3 e1
= e + 0 = e x 0 =3 e
= e = 0
Example - 3
Solution :
(iv) (fog)(1) (v) (gof)(1)
= f(g(1)) = g(f(1))
= f(log1) = g(e1
)
= f(0) = g(e)
= e0
= log(e)
=1 = 1
20. Find fog and gof if f : R → R such that f(x) = [x]
and g : R → [-1, 1] such that g(x) = sinx.
Solution: We have f(x)= [x] and g(x) = sinx
fog(x) = f(g(x)) = f(sinx) = [sin x]
gof(x) = g(f(x)) = g ([x]) = sin [x]
Example – 4
21. Even and Odd Functions
Even Function : If f(-x) = f(x) for all x, then
f(x) is called an even function.
Example: f(x)= cosx
Odd Function : If f(-x)= - f(x) for all x, then
f(x) is called an odd function.
Example: f(x)= sinx
22. Example – 5
( ) 2
Solution : We have f x = x - | x |
( ) ( )2
f -x = -x - | -x |∴
( ) 2
f -x = x - | x |⇒
( ) ( )f -x = f x⇒
( )f x is an even function.∴
Prove that is an even function.
2
x - | x |
23. Example - 6
Let the function f be f(x) = x3
- kx2
+ 2x, x∈R, then
find k such that f is an odd function.
Solution:
The function f would be an odd function if f(-x) = - f(x)
⇒ (- x)3
- k(- x)2
+ 2(- x) = - (x3
- kx2
+ 2x) for all x∈R
⇒ 2kx2
= 0 for all x∈R
⇒ k = 0
⇒ -x3
- kx2
- 2x = - x3
+ kx2
- 2x for all x∈R
24. Limit of a Function
2
(x - 9) (x - 3)(x +3)
If x 3, f(x) = = = (x +3)
x - 3 (x - 3)
≠
x 2.5 2.6 2.7 2.8 2.9 2.99 3.01 3.1 3.2 3.3 3.4 3.5
f(x) 5.5 5.6 5.7 5.8 5.9 5.99 6.01 6.1 6.2 6.3 6.4 6.5
2
x - 9
f(x) = is defined for all x except at x = 3.
x - 3
As x approaches 3 from left hand side of the number
line, f(x) increases and becomes close to 6
-x 3
lim f(x) = 6i.e.
→
25. Limit of a Function (Cont.)
Similarly, as x approaches 3 from right hand side
of the number line, f(x) decreases and becomes
close to 6
+x 3
i.e. lim f(x) = 6
→
26. x takes the values
2.91
2.95
2.9991
..
2.9999 ……. 9221 etc.
x 3≠
Left Hand Limit
x
3
Y
O
X
-x 3
lim
→
27. x takes the values 3.1
3.002
3.000005
……..
3.00000000000257 etc.
x 3≠
Right Hand Limit
3
X
Y
O
x
+x 3
lim
→
28. Existence Theorem on Limits
( ) ( ) ( )- +x a x a x a
lim ƒ x exists iff lim ƒ x and lim ƒ x exist and are equal.
→ → →
( ) ( ) ( )- +x a x a x a
lim ƒ x exists lim ƒ x = lim ƒ xi.e.
→ → →
⇔
29. Example – 7
Which of the following limits exist:
( ) x 0
x
i lim
x→
[ ]5
x
2
(ii) lim x
→
( ) ( )
x
Solution : i Let f x =
x
( ) ( ) ( )- h 0 h 0 h 0x 0
0 - h -h
LHL at x = 0 = lim f x = limf 0 - h =lim =lim = -1
0 - h h→ → →→
( ) ( ) ( )+ h 0 h 0 h 0x 0
0 + h h
RHL at x = 0 = lim f x = limf 0 + h =lim =lim = 1
0 + h h→ → →→
( ) ( )- +
x 0 x 0
lim f x lim f x
→ →
≠Q x 0
x
lim does not exist.
x→
∴
30. Example - 7 (ii)
( ) [ ]Solution:(ii) Let f x = x
( ) h 0 h 05
x
2
5 5 5
LHL at x = = lim f x =limf -h =lim -h =2
2 2 2− → →
→
÷ ÷
( ) h 0 h 05
x
2
5 5 5
RHL at x = = lim f x =limf +h =lim +h =2
2 2 2+ → →
→
÷ ÷
( ) ( )5 5
x x
2 2
lim f x lim f x− +
→ →
=Q [ ]5
x
2
lim x exists.
→
∴
31. Properties of Limits
( )
x a x a x a
i lim [f(x) g(x)]= lim f(x) lim g(x) = m n
→ → →
± ± ±
( )
x a x a
ii lim [cf(x)]= c. lim f(x) = c.m
→ →
( ) ( )
x a x a x a
iii lim f(x). g(x) = lim f(x) . lim g(x) = m.n
→ → →
( )
x a
x a
x a
lim f(x)
f(x) m
iv lim = = , provided n 0
g(x) lim g(x) n
→
→
→
≠
If and
where ‘m’ and ‘n’ are real and finite then
x a
lim g(x)= n
→x a
lim f(x)= m
→
32. The limit can be found directly by substituting the value of x.
Algebraic Limits (Substitution Method)
( )2
x 2
For example : lim 2x +3x + 4
→
( ) ( )2
= 2 2 +3 2 + 4 = 8+6+ 4 =18
2 2
x 2
x +6 2 +6 10 5
lim = = =
x+2 2+2 4 2→
33. Algebraic Limits (Factorization Method)
When we substitute the value of x in the rational expression it
takes the form
0
.
0
2
2x 3
x -3x+2x-6
=lim
x (x-3)+1(x-3)→
2x 3
(x-3)(x+2)
=lim
(x +1)(x-3)→
2 2x 3
x-2 3-2 1
=lim = =
10x +1 3 +1→
2
3 2x 3
x -x-6 0
For example: lim form
0x -3x +x-3→
34. Algebraic Limits (Rationalization Method)
When we substitute the value of x in the rational expression it
takes the form
0
, etc.
0
∞
∞
[ ]
2 2
2 2x 4
x -16 ( x +9 +5)
=lim × Rationalizing the denominator
( x +9 -5) ( x +9 +5)→
2
2
2x 4
x -16
=lim ×( x +9 +5)
(x +9-25)→
2
2
2x 4
x -16
=lim ×( x +9 +5)
x -16→
2 2
x 4
=lim( x +9 +5) = 4 +9 +5 = 5+5=10
→
2
2x 4
x -16 0
For example: lim form
0x +9 -5→
35. Standard Result
n n
n-1
x a
x - a
lim = n a
x - a→
If n is any rational number, then
0
form
0
36. 3
2
x 5
x -125
Evaluate: lim
x -7x+10→
( )
333
2 2x 5 x 5
x - 5x -125
Solution: lim =lim
x -7x+10 x -5x-2x-10→ →
Example – 8 (i)
2
x 5
(x-5)(x +5x+25)
=lim
(x-2)(x-5)→
2
x 5
(x +5x+25)
=lim
x-2→
2
5 +5×5+25 25+25+25
= = =25
5-2 3
37. 2
x 3
1 1
Evaluate: lim (x -9) +
x+3 x-3→
2
x 3
1 1
Solution: lim (x -9) +
x+3 x-3→
x 3
x-3+x+3
=lim(x+3)(x-3)
(x+3)(x-3)→
Example – 8 (ii)
=2×3=6
x 3
=lim 2x
→
38. x a
a+2x - 3x
Evaluate:lim
3a+x -2 x→
x a
a+2x - 3x
Solution: lim
3a+x -2 x→
[ ]x a
a+2x - 3x 3a+x +2 x
=lim × Rationalizing the denominator
3a+x -2 x 3a+x +2 x→
Example – 8 (iii)
x a
a+2x - 3x
=lim × 3a+x +2 x
3a+x- 4x→
[ ]x a
3a+x +2 x a+2x + 3x
=lim × a+2x - 3x× Rationalizing thenumerator
3(a- x) a+2x + 3x→
39. x a
3a+x +2 x a+2x-3x
=lim ×
3(a- x)a+2x + 3x→
Solution Cont.
x a
3a+x +2 x a- x
=lim ×
3(a- x)a+2x + 3x→
x a
3a+x +2 x 1
=lim ×
3a+2x + 3x→
3a+a+2 a 1 2 a+2 a 1
= × = ×
3 3a+2a+ 3a 3a+ 3a
4 a 1 2
= × =
32 3a 3 3
40. 2x 1
3+x - 5- x
Evaluate: lim
x -1→
2x 1
3+x - 5- x
Solution: lim
x -1→
[ ]2x 1
3+x - 5- x 3+x + 5- x
=lim × Rationalizing the numerator
x -1 3+x + 5- x→
Example – 8 (iv)
2x 1
3+x-5+x 1
=lim ×
x -1 3+x + 5-x→ x 1
2(x-1) 1
=lim ×
(x-1)(x+1) 3+x + 5- x→
( ) ( )x 1
2
=lim
x+1 3+x + 5- x→
2 1
= =
42( 4 + 4)
( ) ( )
2
=
1+1 3+1+ 5-1
41. 5 5
x a
x -a
If lim = 405, find all possible values of a.
x-a→
5 5
x a
x -a
Solution: We have lim = 405
x-a→
Example – 8 (v)
n n
5-1 n-1
x a
x -a
5 a = 405 lim = na
x-a→
⇒ ÷
Q
4
a =81⇒
a=± 3⇒