The document summarizes Fourier series and related concepts:
1. It defines periodic functions and their periods, gives examples like sin x and cos x having period 2π.
2. It states Dirichlet's conditions for a function to have a Fourier series representation and defines the Fourier coefficients using Euler's formulas.
3. It explains that the Fourier series of an even function contains only cosine terms and of an odd function contains only sine terms.
4. It provides examples of even and odd functions and solves problems finding Fourier series representations of specific functions.
Mathematical description of Legendre Functions.
Presentation at Undergraduate in Science (math, physics, engineering) level.
Please send any comments or suggestions to improve to solo.hermelin@gmail.com.
More presentations can be found on my website at http://www.solohermelin.com.
Presentation on Fourier Series
contents are:-
Euler’s Formula
Functions having point of discontinuity
Change of interval
Even and Odd functions
Half Range series
Harmonic analysis
Mathematical description of Legendre Functions.
Presentation at Undergraduate in Science (math, physics, engineering) level.
Please send any comments or suggestions to improve to solo.hermelin@gmail.com.
More presentations can be found on my website at http://www.solohermelin.com.
Presentation on Fourier Series
contents are:-
Euler’s Formula
Functions having point of discontinuity
Change of interval
Even and Odd functions
Half Range series
Harmonic analysis
This presentation gives the basic idea about the methods of solving ODEs
The methods like variation of parameters, undetermined coefficient method, 1/f(D) method, Particular integral and complimentary functions of an ODE
3 examples of PDE, for Laplace, Diffusion of Heat and Wave function. A brief definition of Fouriers Series. Slides created and compiled using LaTeX, beamer package.
Power series convergence ,taylor & laurent's theoremPARIKH HARSHIL
This ppt clear your concept about Power series - Convergence & give overview about Taylor & Laurent's Theorem . This is very Helpfull for CVNM subject of GTU
Successive Differentiation is the process of differentiating a given function successively times and the results of such differentiation are called successive derivatives. The higher order differential coefficients are of utmost importance in scientific and engineering applications.
These slides contain information about Euler method,Improved Euler and Runge-kutta's method.How these methods are helpful and applied to our questions are detailed discussed in the slides.
Differential geometry three dimensional spaceSolo Hermelin
This presentation describes the mathematics of curves and surfaces in a 3 dimensional (Euclidean) space.
The presentation is at an Undergraduate in Science (Math, Physics, Engineering) level.
Plee send comments and suggestions to improvements to solo.hermelin@gmail.com. Thanks/
More presentations can be found at my website http://www.solohermelin.com.
Beta and gamma are the two most popular functions in mathematics. Gamma is a single variable function, whereas Beta is a two-variable function. The relation between beta and gamma function will help to solve many problems in physics and mathematics.
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
This presentation gives the basic idea about the methods of solving ODEs
The methods like variation of parameters, undetermined coefficient method, 1/f(D) method, Particular integral and complimentary functions of an ODE
3 examples of PDE, for Laplace, Diffusion of Heat and Wave function. A brief definition of Fouriers Series. Slides created and compiled using LaTeX, beamer package.
Power series convergence ,taylor & laurent's theoremPARIKH HARSHIL
This ppt clear your concept about Power series - Convergence & give overview about Taylor & Laurent's Theorem . This is very Helpfull for CVNM subject of GTU
Successive Differentiation is the process of differentiating a given function successively times and the results of such differentiation are called successive derivatives. The higher order differential coefficients are of utmost importance in scientific and engineering applications.
These slides contain information about Euler method,Improved Euler and Runge-kutta's method.How these methods are helpful and applied to our questions are detailed discussed in the slides.
Differential geometry three dimensional spaceSolo Hermelin
This presentation describes the mathematics of curves and surfaces in a 3 dimensional (Euclidean) space.
The presentation is at an Undergraduate in Science (Math, Physics, Engineering) level.
Plee send comments and suggestions to improvements to solo.hermelin@gmail.com. Thanks/
More presentations can be found at my website http://www.solohermelin.com.
Beta and gamma are the two most popular functions in mathematics. Gamma is a single variable function, whereas Beta is a two-variable function. The relation between beta and gamma function will help to solve many problems in physics and mathematics.
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
Numerical Solution of Nth - Order Fuzzy Initial Value Problems by Fourth Orde...IOSR Journals
In this paper, a numerical method for Nth - order fuzzy initial value problems (FIVP) based on
Seikkala derivative of fuzzy process is studied. The fourth order Runge-Kutta method based on Centroidal Mean
(RKCeM4) is used to find the numerical solution and the convergence and stability of the method is proved. This
method is illustrated by solving second and third order FIVPs. The results show that the proposed method suits
well to find the numerical solution of Nth – order FIVPs.
Powerpoint Search Engine has collection of slides related to specific topics. Write the required keyword in the search box and it fetches you the related results.
Lesson 14: Derivatives of Logarithmic and Exponential Functions (slides)Matthew Leingang
The exponential function is pretty much the only function whose derivative is itself. The derivative of the natural logarithm function is also beautiful as it fills in an important gap. Finally, the technique of logarithmic differentiation allows us to find derivatives without the product rule.
Lesson 14: Derivatives of Logarithmic and Exponential Functions (slides)Mel Anthony Pepito
The exponential function is pretty much the only function whose derivative is itself. The derivative of the natural logarithm function is also beautiful as it fills in an important gap. Finally, the technique of logarithmic differentiation allows us to find derivatives without the product rule.
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.
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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.
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Chapter 2 (maths 3)
1. CHAPTER 2
FOURIER SERIES
PERIODIC FUNCTIONS
A function f (x ) is said to have a period T if for all x, f ( x + T ) = f ( x) , where T is a
positive constant. The least value of T>0 is called the period of f (x) .
EXAMPLES
We know that f (x ) = sin x = sin (x + 4 π ) = … Therefore the function has period 2 π , 4
π , 6 π , etc. However, 2 is the least value and therefore is the period of f(x).
Similarly cos x is a periodic function with the period 2 π and tan x has period π .
DIRICHLET’S CONDITIONS
A function f (x ) defined in c ≤ x ≤ c+2l can be expanded as an infinite trigonometric
a nπx nπx
series of the form o + ∑ a n cos + ∑ bn sin , provided
2 l l
1. f (x) is single- valued and finite in (c , c+2l)
2. f (x) is continuous or piecewise continuous with finite number of finite
discontinuities in (c , c+2l).
3. f (x) has no or finite number of maxima or minima in (c , c+2l).
EULER’S FORMULAS
If a function f (x) defined in (c , c+2l) can be expanded as the infinite trigonometric
ao ∞
nπx ∞ nπx
series
2
+ ∑ an cos
n =1 l
+ ∑ bn sin
n =1 l
then
c + 2l
1 nπx
an =
l ∫
c
f ( x) cos
l
dx, n ≥ 0
c + 2l
1 nπx
bn =
l ∫c
f ( x) sin
l
dx, n ≥ 1
[ Formulas given above for a n and bn are called Euler’s formulas for Fourier coefficients]
2. DEFINITION OF FOURIER SERIES
ao ∞
nπx ∞ nπx
The infinite trigonometric series
2
+ ∑ an cos
n =1 l
+ ∑ bn sin
n =1 l
is called the
Fourier series of f (x) in the interval c ≤ x ≤ c+2l, provided the coefficients are given by the
Euler’s formulas.
EVEN FUNCTION
If f (x) = φ (x) in (-l , l) such that φ (− x) = φ (x) , then f (x ) is said to be an even
function of x in (-l , l).
φ1 ( x ) in (−l ,0)
If f ( x) =
φ 2 ( x) in (0, l )
Such that φ1 (− x) = φ 2 ( x) or φ 2 ( − x ) = φ1 ( x ) , then f (x) is said to be an even function of x in
(-l , l).
EXAMPLE
y = cos x , y = x 2 are even functions.
ODD FUNCTION
If f (x) = φ (x) in (-l , l) such that φ (− x) = - φ (x) , then f (x) is said to be an odd
function of x in (-l , l).
φ1 ( x ) in (−l ,0)
If f ( x) =
φ 2 ( x) in (0, l )
Such that φ1 (− x) = - φ 2 ( x ) or φ 2 ( − x ) = - φ1 ( x ) , then f (x) is said to be an odd function of x in
(-l , l).
EXAMPLE
y = sin x , y = x are odd functions.
FOURIER SERIES OF EVEN AND ODD FUNCTIONS
1. The Fourier series of an even function f (x ) in (-l , l) contains only cosine terms
2
3. (constant term included), i.e. the Fourier series of an even function f (x) in (-l , l) is
given by
ao nπx
f (x) =
2
+ ∑a n cos
l
,
nπx
l
2
where a n = ∫ f ( x ) cos dx.
l 0 l
2. The Fourier series of an odd function f (x) in (-l , l) contains only sine terms, i.e.
the Fourier series of an odd function f (x ) in (-l , l) is given by
nπx
f (x) = ∑b n sin
l
,
nπx
l
2
where bn = ∫ f ( x) sin l dx.
l 0
PROBLEMS
1. Find the Fourier series of period 2l for the function f (x ) = x(2l – x) in (0 , 2l). Deduce
1 1 1
the sum of f (x) = 2
− 2 + 2 −
1 2 3
Solution:
ao ∞
nπx ∞ nπx
Let f (x ) =
2
+ ∑a
n =1
n cos
l
+ ∑ bn sin
n =1 l
in (0 , 2l) …………(1)
nπx
2l
1
an =
l0∫ x(2l − x) cos l dx
2l
nπx nπx nπx
sin − cos − sin
1 2 l − (2l − 2 x ) l + (−2) l ,
= (2lx − x )
l nπ n 2π 2 n 3π 3
l l2 l3 0
using Bernoulli’s formula.
2
1
= [ − 2l cos 2nπ − 2l ] = − 4l 2
n 2π 2 n 2π
2l
1 x3
2l
1 4
a o = ∫ x(2l − x )dx = lx 2 − = l 2 .
l0 l 3 0 3
3
4. nπx
2l
1
bn =
l0∫ x(2l − x) sin l dx
=0
Using these values in (1), we have
2 2 4l 2 ∞
1 nπx
x (2l - x) = l − 2
3 π
∑n
n =1
2
cos
l
in (0, 2l) ……………..(2)
1 1 1
The required series 2
− 2 + 2 − … ∞ can be obtained by putting x = l in the Fourier
1 2 3
series in (2).
x = l lies in (0 , 2l) and is a point of continuity of the function f (x) = x(2l – x).
∴ [ Sum the Fourier series in (2) ] x =1 = f(l)
∞
2 2 4l 2 1
i.e. l − 2
3 π
∑n
n =1
2
cos nπ = l(2l - l)
4l 2 1 1 1 l
2
i.e.. - − 2 + 2 − 2 + ...∞ =
π2 1 2 3 3
∴
1 1 1 π2
− 2 + 2 − …∞ =
12 2 3 12
2. Find the Fourier series of period 2 π for the function f (x) = x cos x in 0 < x < 2 π .
Solution:
∞ ∞
ao
Let f (x ) =
2
+ ∑ an cos nx + ∑ bn sin nx
n =1 n =1
.……..…………(1)
2π
1
an =
π ∫ x cos x cos nxdx
0
2π
1
=
2π ∫ x[ cos(n + 1) x + cos(n − 1) x]dx
0
1 sin( n + 1) x cos(n + 1) x 2π sin( n − 1) x cos(n − 1) x 2π
= x. + + x. + ,
2π n +1 (n + 1) 2 0 n −1 ( n − 1) 2 0
if n ≠ 1
=0, if n ≠ 1
ao = 0
4
5. 2π 2π
1 1
an = ∫ x cos xdx = 2π ∫ x(1 + cos 2 x)dx
2
π 0 0
2π
1 x sin 2 x cos 2 x
2
= +x + = π.
2π 2 2 4 0
2π
1
bn =
π ∫ x cos x sin nxdx
0
2π
1
=
2π ∫ x[ sin(n + 1) x + sin(n − 1) x]dx
0
1 − cos(n + 1) x sin( n + 1) x 2π − cos(n − 1) x sin( n − 1) x 2π
= x. + + x. + ,
2π n +1 (n + 1) 2 0 n −1 (n − 1) 2 0
if n ≠ 1
1 1 1 1 2n
=− − = − + =− 2 , if n ≠ 1
n +1 n −1 n + 1 n − 1 n −1
2π 2π
1 1
b1 =
π ∫ x cos x sin xdx =
0
2π ∫ x sin 2 xdx
0
2π
1 − cos 2 x sin 2 x 1
= x + =−2
2π 2 4 0
Using these values in (1), we get
∞
1 n
f(x) = π cos x − sin x − 2 ∑ sin nx
n = 2 , 3,... n − 1
2
2
3. Find the Fourier series expansion of f (x) = sin ax in (-l , l).
Solution:
Since f (x) is defined in a range of length 2l, we can expand f (x ) in Fourier series of
period 2l.
Also f ( − x) = sin[a(-x)] = -sin ax = - f (x)
∴ f (x) is an odd function of x in (-l , l).
Hence Fourier series of f (x ) will not contain cosine terms.
∞
nπx
Let f (x ) = ∑b
n =1
n sin
l
………………….(1)
5
6. 1 nπ nπ
l
= ∫ cos l − a − cos l + a xdx
l 0
l
nπ nπ
1 sin l − a x sin l + a x
= −
l nπ nπ
−a +a
l l
0
1 nπ 1 nπ
= sin − a l − sin + a l
nπ − la l nπ + la l
=
1
nπ − al
{− (−1) n sin al} − nπ 1 al {(−1) n sin al}
+
1 1
= (−1) n +1 sin al +
nπ − al nπ + al
(−1) n +1 2nπ sin al
=
n 2π 2 − a 2 l 2
Using these values in (1), we get
∞
(−1) n +1 n nπx
sin ax = 2π sin al ∑ sin
n =1 n π −a l
2 2 2 2
l
4. Find the Fourier series expansion of f (x) = e − x in (−π , π ) . Hence obtain a series for
cosec π
Solution:
Though the range (−π , π ) is symmetric about the origin, e − x is neither an even function
nor an odd function.
∞ ∞
ao
∴ Let f (x) =
2
+ ∑ an cos nx + ∑ bn sin nx
n =1 n =1
..…..…………(1)
in (−π , π ) [ the length of the range is 2π ]
6
7. π
1
∫π e cos nxdx
−x
an =
π−
π
1 e −x
= 2 ( − cos nx + n sin nx )
π n +1 −π
=−
1
{e −π
(−1) n − e π (−1) n }
π ( n + 1)
2
2( −1) n
= sinh π
π (n 2 + 1)
2 sinh π
ao =
π
π
1
∫π e sin nxdx
−x
bn =
π−
π
1 e −x
= 2 ( − sin nx − n cos nx )
π n +1 −π
=−
n
{e −π
(−1) n − e π (−1) n }
π ( n 2 + 1)
2n(−1) n
= sinh π
π (n 2 + 1)
Using these values in (1), we get
sinh π 2 sinh π ∞
(−1) n 2 sinh π ∞
(−1) n n
e−x =
π
+
π
∑ n 2 + 1 cos nx + π
n =1
∑ n 2 + 1 sin nx
n =1
in (−π , π )
[ Sum of the Fourier series of f ( x )] x =0 = f (0),
[Since x=0 is a point of continuity of f(x)]
sinh π ∞
(−1) n
i.e., 1 + 2∑ 2 −0
= e =1
π n =1 n + 1
−1 ∞
(−1) n
i.e., π cos ech π = 1 + 2 + 2∑ 2
2 n=2 n + 1
2 ∞ (−1) n
i.e., cos ech π = ∑
π n=2 n 2 + 1
7
8. HALF-RANGE FOURIER SERIES AND PARSEVAL’S THEOREM
(i) The half range cosine series in (0 , l) is
ao ∞
nπx
f (x) =
2
+ ∑a
n =1
n cos
l
l
2
l∫
where a o = f ( x )dx.
0
nπx
l
2
an = ∫ f ( x) cos l dx.
l 0
(ii) The half range sine series in (0 , l) is
∞
nπx
f (x) = ∑b
n =1
n sin
l
,
nπx
l
2
where bn = ∫ f ( x) sin l dx.
l 0
(iii) The half range cosine series in (0 , π ) is given by
∞
ao
f (x) =
2
+ ∑a
n =1
n cos nx
π
2
where a o = ∫ f ( x )dx.
π 0
π
2
π∫
an = f ( x ) cos nxdx.
0
(iv) The half range sine series in (0 , π ) is given by
∞
f (x) = ∑b
n =1
n sin nx ,
π
2
where bn = ∫ f ( x) sin nxdx.
π 0
8
9. ROOT-MEAN SQUARE VALUE OF A FUNCTION
Definition
c +2 l
1
∫y
2
If a function y = f (x ) is defined in (c , c+2l), then dx is called the root mean-
2l c
square(R.M.S.) value of y in (c , c+2l) and is denoted by y.
c + 2l
1 2
Thus y = ∫y
2
dx.
2l c
PARSEVAL’S THEOREM
If y = f (x ) can be expanded as a Fourier series of the form
ao ∞
nπx ∞ nπx
2
+ ∑ an cos
n =1 l
+ ∑ bn sin
n =1 l
in (c , c+2l), then the root-mean square value y of y = f (x)
in (c , c+2l) is given by
1 2 1 ∞ 1 ∞
y = a o + ∑ a n + ∑ bn
2 2 2
4 2 n =1 2 n =1
PROOF
ao ∞
nπx ∞ nπx
f (x) =
2
+ ∑ an cos
n =1 l
+ ∑ bn sin
n =1 l
in (c , c+2l) ....……………….(1)
∴ By Euler’s formulas for the Fourier coefficients,
c + 2l
1 nπx
an =
l ∫ c
f ( x) cos
l
dx, n ≥ 0 ..…………………(2)
c + 2l
1 nπx
bn =
l ∫
c
f ( x) sin
l
dx, n ≥ 1 …....……………..(3)
Now, by definition,
c + 2l c + 2l
1 1
∫ [ f ( x)]
2
∫ y dx =
2
y = 2
dx
2l c
2l c
c + 2l
1 a ∞
nπx ∞ nπx
= ∫ f ( x) o + ∑ a n cos + ∑ bn sin dx, using (1)
2l c 2 n =1 l n =1 l
ao1 c + 2l ∞ a 1 c + 2l nπx ∞ bn 1
c + 2l
nπx
= ∫ f ( x)dx + ∑ n ∫ f ( x) cos dx + ∑ ∫ f ( x) sin dx
4 l c n =1 2 l c l n =1 2 l c l
∞ ∞
ao an bn
= .a o + ∑ .a n + ∑ .bn , by using (2) and (3)
4 n =1 2 n =1 2
9
10. ∞2 ∞ 2 2
ao an b
= +∑ +∑ n .
4 n =1 2 n =1 2
EXAMPLES
1. Find the half-range (i) cosine series and (ii) sine series for f (x ) = x 2 in (0 , π )
Solution:
(i) To get the half-range cosine series for f (x ) in (0 , π ), we should give an even
extension for f (x) in ( − π , 0).
i.e. put f (x) = ( − x ) 2 = x 2 in ( − π , 0)
Now f (x) is even in ( − π , π ).
∞
ao
∴ f (x) =
2
+ ∑a
n =1
n cos nx ………………….(1)
π
2
an =
π ∫ f ( x) cos nxdx.
0
π
2 2
π∫
= x cos nxdx
0
π
2 sin nx − cos nx − sin nx
= x2 − 2 x + 2
π n n
2
n
3
0
4 4(−1) n
= .π (−1) n = ,n ≠ 0
πn 2 n2
π π
2 2 2 2 2
ao = ∫ f ( x)dx = π ∫ x dx = 3 π
π 0 0
∴ The Fourier half-range cosine series of x 2 is given by
π2 ∞
(−1) n
x2 = + 4∑ 2 cos nx in (0 , π ).
3 n =1 n
(ii) To get the half-range sine series of f (x ) in (0 , π ), we should give an odd extension
for f (x) in (- π , 0).
i.e. Put f (x ) = - ( − x ) 2 in (- π , 0)
= - x 2 in (- π , 0)
Now f (x) is odd in (- π , π ).
10
11. ∞
∴ f (x) = ∑b
n =1
n sin nx ……………….(2)
π π
2 2
bn = ∫ f ( x) sin nxdx = ∫ x 2 sin nxdx
π 0 π 0
π
2 cos nx sin nx cos nx
= x2 − − 2 x − + 2
π n n 2 n 3 0
2 π 2
(−1) + 3 {(−1) − 1}
n +1 2
= n
π n n
2 π 2 4
− , if n is odd
= π n n 3
− 2π , if n is even
n
Using this value in(2), we get the half-range sine series of x 2 in (0 , π ).
2. Find the half-range sine series of f (x) = sin ax in (0 , l).
Solution:
We give an odd extension for f (x) in (-l , 0).
i.e. we put f (x) = -sin[a(-x)] = sin ax in (-l , 0)
∴ f (x) is odd in (-l , l)
∞
nπx
Let f (x ) = ∑b
n =1
n sin
l
nπx
l
2
bn = ∫ sin ax. sin l dx
l 0
1 nπ nπ
l
= ∫ cos l − a x − cos l + a x dx
l 0
l
nπ nπ
1 sin l − a x sin l + a x
= −
l nπ nπ
l − a + a
l 0
1 1
= (−1) n +1 sin ( nπ − al ) − sin ( nπ + al )
nπ − al nπ + al
11
12. 1 1
= (−1) n +1 sin al + ( −1) n +1 sin al
nπ − al nπ + al
2nπ
= (−1) n +1 sin al. 2 2
n π − a 2l 2
Using this values in (1), we get the half-range sine series as
∞
(−1) n +1 .n nπx
sin ax = 2π sin al ∑ 2 2 sin
n =1 n π − a l
2 2
l
3. Find the half-range cosine series of f (x ) = a in (0 , l). Deduce the sum of
1 1 1
2
+ 2 + 2 + ∞ .
1 3 5
Solution:
Giving an odd extension for f (x) in (-l , 0), f (x ) is made an odd function in (-l , l).
nπx
∴ Let f(x) = ∑b n sin
l
..……………(1)
nπx
l
2
bn = ∫ a sin dx
l 0 l
l
nπx
− cos l
=
2a
nπ
l
=
2a
nπ
1 − ( − 1)
n
{ }
l 0
4a
, if n is odd
= nπ
0,
if n is even
Using this value in (1), we get
4a ∞ 1 nπx
a= ∑5 n sin l in (0 , l )
π n =1,3,
Since the series whose sum is required contains constant multiples of squares of bn , we apply
Parseval’s theorem.
l
1 1
∑ bn = l ∫ [ f ( x)] dx
2 2
2 0
12
13. ∞
1 16a 2 1
i.e. .
2 π2
∑ ( 2n − 1)
n =1, 3, 5
2
= a2
∞
8a 2 1
i.e.
π2
∑ ( 2n − 1)
n =1
2
= a2
∞
1 π2
∴ ∑ ( 2n − 1) 2 8 .
n =1
=
4. Expand f (x) = x - x 2 as a Fourier series in -1 < x < 1 and using this series find the
r.m.s. value of f (x ) in the interval.
Solution:
The Fourier series of f (x ) in (-1 , -1) is given by
∞ ∞
ao
f (x) =
2
+ ∑ an cos nπx + ∑ bn sin nπx
n =1 n =1
.………………(1)
1 1
a o = ∫ f ( x)dx = ∫ ( x − x 2 ) dx
1
1 −1 −1
1
x2 x3 1 1 1 1
= − = − − +
2
3 −1 2 3 2 3
−2
ao = ..........................(2)
3
1 1
∫1 f ( x) cos nπx dx = −∫1( x − x ) cos nπx dx
1
an = 2
1−
1
sin nπx − cos nπx − sin nπx
= ( x − x 2 ) − (1 − 2 x ) 2 + (−2) 3
n n n −1
− cos nπ 3 cos nπ
= −
n2 n2
4 cos nπ
an = − ……………….(3)
n2
13
14. 1 1
∫1 f ( x) sin nπx dx = −∫1( x − x ) sin nπx dx
1
bn = 2
1−
1
− cos nπx − sin nπx cos nπx
= ( x − x 2 ) − (1 − 2 x ) + (−2) 3 3
nπ nπ n π −1
2 2
− 2 cos nπ 2 cos nπ 2 cos nπ
= − + 3 3
n 3π 3 nπ nπ
n +1
2(−1)
bn = ..........................( 4)
nπ
Substituting (2), (3), (4) in (1) we get
1 ∞ 4(−1) n +1 ∞
2(−1) n +1
f (x) = − + ∑ cos nπx + ∑ sin nπx
3 n =1 n 2 n =1 nπ
We know that r.m.s. value of f(x) in (-l , l) is
1 2 1 ∞ 1 ∞
a o + ∑ a n + ∑ bn
2 2 2
y = ……………….(5)
4 2 n =1 2 n =1
From (2) we get
−2 2 4
ao = ⇒ ao = .………………..(6)
3 9
From (3) we get
4( −1) n +1 2 16
an = 2
⇒ an = 4 ………………..(7)
n n
From (4) we get
2(−1) n +1 2 4
bn = ⇒ bn = 2 2 ..………………(8)
nπ nπ
Substituting (6), (7) and (8) in (5) we get
1 1 ∞ 16 4
+ ∑ 4 + 2 2
2
y =
9 2 n =1 n nπ
5. Find the Fourier series for f (x) = x 2 in − π < x < π . Hence show that
1 1 1 π4
+ 4 + 4 + =
14 2 3 90
Solution:
The Fourier series of f (x ) in (-1 , 1) is given by
π2 ∞
4(−1) n
f (x) =
3
+ ∑ n 2 cos nx
n =1
14
15. The co-efficients a o , a n , bn are
2π 2 4(−1) n
ao = , an = , bn = 0
3 n2
Parseval’s theorem is
(a )
π ∞
1 1 2 1
∫ [ f ( x)] dx = ao + ∑
2 2 2
n + bn
2π −π
4 2 n =1
ao 2 1 ∞ 2
( )
π
∫ [x ] + ∑ a n + bn
2 2
dx = 2π
2
∴
−π 4
2 n =1
π
x5 π 4 1 ∞ 16
i.e.,
5 = 2π
+ ∑ 4
−π 9 2 n =1 n
2π 5 2π 5 ∞
16
i.e., − =π∑ 4
5 9 n =1 n
8π 4 ∞
16
=∑ 4
45 n =1 n
∞
1 π4
i.e., ∑ n 4 = 90
n =1
1 1 1 π4
i.e., + 2 + 2 + ∞ =
12 3 5 90
HARMONIC ANALYSIS
The process of finding the Fourier series for a function given by numerical value is
known as harmonic analysis. In harmonic analysis the Fourier coefficients ao , a n , and bn of the
function y = f (x) in (0 , 2 π ) are given by
a o = 2[mean value of y in (0 , 2 π )]
a n = 2[mean value of y cos nx in (0 , 2 π )]
bn = 2[mean value of y sin nx in (0 , 2 π )]
(i) Suppose the function f (x) is defined in the interval (0 , 2l), then its Fourier series is,
ao ∞
nπx ∞ nπx
f (x) =
2
+ ∑a
n =1
n cos
l
+ ∑ bn sin
n =1 l
and now, a o = 2[mean value of y in (0 , 2l)]
nπx
a n = 2 mean value of y cos in (0 , 2l )
l
15
16. nπx
bn = 2 mean value of y sin in (0 , 2l )
l
(ii) If the half range Fourier sine series of f (x) in (0 , l) is,
∞
nπx
f (x) = ∑b
n =1
n sin
l
, then
nπx
bn = 2 mean value of y sin in (0 , l )
l
(iii) If the half range Fourier sine series of f (x) in (0 , π ) is,
∞
nπx
f (x) = ∑b
n =1
n sin
l
, then
bn = 2[ mean value of y sin nx in (0 , π )]
(iv) If the half range Fourier cosine series of f (x) in (0 , l) is,
ao ∞
nπx
f (x) = + ∑ a n cos , then
2 n =1 l
a o = 2[mean value of y in (0 , l)]
nπx
a n = 2 mean value of y cos in (0 , l )
l
(v) If the half range Fourier cosine series of f (x) in (0 , π ) is,
ao ∞
nπx
f (x) =
2
+ ∑a
n =1
n cos
l
, then
a o = 2[mean value of y in (0 , π )]
a n = 2[ mean value of y cos nx in (0 , π )] .
EXAMPLES
1. The following table gives the variations of a periodic function over a period T.
0 T T T 2T 5T T
x 6 3 2 3 6
f (x) 1.98 1.3 1.05 1.3 -0.88 -0.25 1.98
2πx
Show that f (x ) = 0.75 + 0.37 cos θ +1.004 sin θ , where θ =
T
Solution:
Here the last value is a mere repetition of the first therefore we omit that value and
consider the remaining 6 values. ∴ n = 6.
16
17. 2πx
Given θ= ..………………..(1)
T
T T T 2T 5T π 2π
∴ when x takes the values of 0, , , , , θ takes the values 0, , ,
6 3 2 3 6 3 3
4π 5π
π, , . (By using (1))
3 3
Let the Fourier series be of the form
ao
f ( x) = + a1 cos θ + b1 sin θ , ………………(2)
2
∑y
where a o = 2 ,
n
∑ y cos θ
a1 = 2 ,
n
∑ y sin θ
b1 = 2 , n=6
n
θ y cos θ sin θ y cos θ y sin θ
0° 1.98 1.0 0 1.98 0
π
1.30 0.500 0.866 0.65 1.1258
3
2π 3 1.05 -0,500 0.866 -0.525 0.9093
π 1.30 -1 0 -1.3 0
4π 3 -0.88 -0.500 -0.866 0.44 0.762
5π 3 -0.25 0.500 -0.866 -0.125 0.2165
4.6 1.12 3.013
∑y
a o = 2 = 1.5, a1 = 2 ∑ y cos θ = 0.37
6 6
2
b1 = ∑ y sin θ = 1.00456
6
Substituting these values of a o , a1 , and b1 in (2), we get
∴ f (x) = 0.75 + 0.37 cos θ + 1.004 sin θ
2. Find the Fourier series upto the third harmonic for the function y = f (x) defined in
(0 , π ) from the table
x 0 π 2π 3π 4π 5π π
6 6 6 6 6
17
18. f (x) 2.34 2.2 1.6 0.83 0.51 0.88 1.19
Solution:
We can express the given data in a half range Fourier sine series.
f ( x) = b1 sin x + b2 sin 2 x + b3 sin 3 x ..………………...(1)
x y = f(0) sin x sin 2x sin 3x y sin x y sin 2x y sin 3x
0 2.34 0 0 0 0 0 0
30 2.2 0.5 0.87 1 1.1 1.91 2.2
60 1.6 0.87 0.87 0 1.392 1.392 0
90 0.83 1 0 -1 0.83 0 -0.83
120 0.51 0.87 -0.87 0 0.44 -0.44 0
150 0.88 0.5 -0.87 1 0.44 0.76 0.88
180 1.19 0 0 0 0 0 0
4.202 3.622 2.25
∑ y sin x 1
Now b1 = 2 = [ 4.202] = 1.40
6 3
∑ y sin 2 x 1
b2 = 2 = [ 3.622] = 1.207
6 3
∑ y sin 3 x 1
b3 = 2 = [ 2.25] = 0.75
6 3
Substituting these values in (1), we get
f (x) = 1.4 sin x + 1.21 sin 2x + 0.75 sin 3x
3. Compute the first two harmonics of the Fourier series for f(x) from the following data
x 0 30 60 90 120 150 180
f (x ) 0 5224 8097 7850 5499 2626 0
Solution:
Here the length of the interval is π . ∴ we can express the given data in a half range
Fourier sine series
i.e., f ( x) = b1 sin x + b2 sin 2 x ………………………(1)
18
19. x y sin x sin 2x
0 0 0 0
30 5224 .5 0.87
60 8097 0.87 0.87
90 7850 1 0
120 5499 0.87 -0.87
150 2626 0.5 -0.87
∑ y sin x
Now b1 = 2 = 7867.84
6
∑ y sin 2 x
b2 = 2 = 1506.84
6
∴ f (x) = 7867.84 sin x + 1506.84 sin 2x
4. Find the Fourier series as far as the second harmonic to represent the function given in
the following data.
x 0 1 2 3 4 5
f (x ) 9 18 24 28 26 20
Solution:
Here the length of the interval is 6 (not 2 π )
i.e., 2l = 6 or l = 3
∴ The Fourier series is
ao πx 2πx πx 2πx
f ( x) = + a1 cos + a 2 cos + b1 sin + b2 sin …………………..(1)
2 3 3 3 3
πx 2πx πx πx 2πx 2πx
y cos y sin y cos y sin
x 3 3 y 3 3 3 3
0 0 0 9 9 0 9 0
1 π 3 2π 3 18 9 15.7 -9 15.6
2 2π 3 4π 3 24 -12 20.9 -24 0
3 π 2π 28 -28 0 28 0
4 4π 3 8π 3 26 -13 -22.6 -13 22.6
5 5π 3 10 π 3 20 10 -17.4 -10 -17.4
125 -25 -3.4 -19 20.8
19
20. ∑ y 2(125)
Now a o = 2 = = 41.66,
6 6
2 πx
a1 = ∑ y cos = −8.33
6 3
2 πx
b1 = ∑ y sin = −1.13
6 3
2 2πx
a2 =
6
∑ y cos 3 = −6.33
2 2πx
b2 =
6
∑ y sin 3 = 6.9
Substituting these values of a o , a1 , b1 , a 2 and b2 in (1), we get
41.66 πx 2πx πx 2πx
f ( x) = − 8.33 cos − 6.33 cos − 1.13 sin + 6.9 sin
2 3 3 3 3
COMPLEX FORM OF FOURIER SERIES
∞
The equation of the form f ( x) = ∑c e
n = −∞
n
inπx l
is called the complex form or exponential form of the Fourier series of f (x) in (c , c+2l). The
coefficient c n is given by
c + 2l
1
∫ f ( x )e
−inπx l
cn = dx
2l c
When l = π , the complex form of Fourier series of f (x) in (c , c+2 π ) takes the form
∞
f ( x) = ∑c e
n = −∞
n
inx
, where
c + 2π
1
∫ f ( x )e
−inx
cn = dx.
2π c
PROBLEMS
1. Find the complex form of the Fourier series of f (x) = e x in (0 , 2).
Solution:
Since 2l = 2 or l = 1, the complex form of the Fourier series is
∞
f ( x) = ∑c e
n = −∞
n
inπx
20
21. 2
1
c n = ∫ f ( x)e −inπx dx
20
2
1
= ∫ e x e −inπx dx
20
2
1 e ( 1−inπ ) x
=
2 1 − inπ 0
=
1
2(1 − inπ )
{e 2(1−inπ ) − 1}
=
(1 + inπ ) {e ( cos 2nπ − i sin 2nπ ) − 1}
2
2(1 + n π 2 2
)
=
(e 2
− 1)(1 + inπ )
2(1 + n 2π 2 )
Using this value in (1), we get
e 2 − 1 ∞ (1 + inπ ) inπx
2 ∑ (1 + n 2π 2 ) e
ex =
n =−∞
2. Find the complex form of the Fourier series of f (x) = sin x in (0 , π ).
Solution:
Here 2l = π or l = π 2 .
∴ The complex form of Fourier series is
∞
f ( x) = ∑c e
n = −∞
n
i 2 nx
…………………..(1)
π
1
c n = ∫ sin xe −i 2 nx dx
π 0
π
1 e −i 2 nx
= { − i 2n sin x − cos x}
π 1 − 4n
2
0
=
1
π ( 4n − 1)
2
[
− e i 2 nx − 1 = − ] 2
π ( 4n 2 − 1)
Using this value in (1), we get
2 ∞ 1
sin x = − ∑ 4n 2 − 1 .e i 2nx
π n =−∞
in (0 , π )
3. Find the complex form of the Fourier series of f (x) = e − ax in (-l , l).
Solution:
21
22. Let the complex form of the Fourier series be
∞
f ( x) = ∑c e
n = −∞
n
inπx l
l
1
c n = ∫ f ( x)e −inπx l dx
2l −l
l
1
= ∫ e − ax e −inπx l dx
2l −l
l
1
= ∫ e −( al +inπ ) x / l dx
2l −l
l
1 e −( al +inπ ) x l
=
2l − ( al + inπ ) l −l
=
1
2( al + inπ )
[
e −( al +inπ ) − e ( al +inπ ) ]
=
2
1
( al + inπ )
[
e al (−1) n − e − al (−1) n ]
[ e ± inπ
= cos nπ ± i sin nπ = (−1) n ]
sinh al (−1) n
=
al + inπ
sinh al.( al − inπ ) (−1) n
=
a 2 l 2 + n 2π 2
Using this value in (1), we have
∞
(−1) n ( al − inπ ) inπx l
e − ax = sinh al ∑ 22 2 2 e
n = −∞ a l + n π
in (-l , l)
4. Find the complex form of the Fourier series of f (x) = cos ax in (- π , π ), where a is
neither zero nor an integer.
Solution:
Here 2l = 2 π or l = π .
∴ The complex form of Fourier series is
∞
f ( x) = ∑c e
n = −∞
n
inx
………………….(1)
22
23. π
1
∫π cos ax.e
− inx
cn = dx
2π −
π
1 e −inx
= 2 { − in cos ax + a sin ax}
2π a − n 2
−π
=
1
2π ( a − n 2 )
2
[
e −inπ ( − in cos aπ + a sin aπ ) − e inπ ( − in cos aπ − a sin aπ ) ]
1
= (−1) n 2a sin aπ
2π ( a − n )
2 2
Using this value in (1), we get
a sin aπ ∞
(−1) n inx
cos ax =
π
∑
n = −∞ a2 − n2
e in (- π , π ).
UNIT 2
PART – A
1. Determine the value of a n in the Fourier series expansion of f ( x) = x 3 in − π < x < π .
Ans: f ( x) = x 3 is an odd function.
∴ an = 0
2. Find the root mean square value of f ( x) = x 2 in the interval (0 , π ) .
Ans:
RMS Vale of f ( x ) = x 2 in (0 , π ) is
π π π
1 x5
∫ [x ]
2 1 2 2 1
y = dx = ∫ x 4 dx =
π 0
π 0 π 5
0
1 π 5 π 4
= =
π5 5
3. Find the coefficient b5 of cos 5 x in the Fourier cosine series of the function f ( x ) = sin 5 x in
the interval (0 , 2π )
Ans: Here f ( x) = sin 5 x
Fourier cosine series is
23
24. ∞
ao
f (x) =
2
+ ∑a
n =1
n cos nx , where
π π
2 2
an = ∫ f ( x) cos nx dx = π ∫ sin 5 x cos nx dx
π 0 0
π
2
=
2π ∫ [ sin(5 + n) x + sin(5 − n) x] dx
0
π
− 1 cos(5 + n) x cos(5 − n) x
= + =0
π 5+n
5 − n 0
cos x, if 0 < x < π
4. If f ( x) = and f ( x) = f ( x + 2π ) for all x, find the sum of the Fourier
50, if π < x ≤ 2π
series of f (x ) at x = π .
Ans: Here π is a point of discontinuity.
∴ The sum of the Fourier series is equal to the average of right hand and left hand limit of the
given function at x = π .
f (π − 0) + f (π + 0)
i.e., f (π ) =
2
cos π + 50 49
= =
2 2
5. Find bn in the expansion of x 2 as a Fourier series in (−π , π ) .
Ans: bn = 0
Since f ( x) = x 2 is an even function in (−π , π ) .
6. If f (x) is an odd function defined in (-l , l) what are the values of a 0
Ans: a0 = 0
a n = 0 since f (x) is an odd function.
7. Find the Fourier constants bn for x sin x in (−π , π ) .
Ans: bn = 0
Since f ( x) = x sin x is an even function in (−π , π ) .
24
25. 8. State Parseval’s identity for the half-range cosine expansion of f (x ) in (0 , 1).
Ans:
1 2
∞
a0
2 ∫ [ f ( x)] dx = + ∑ an
2 2
0
2 n =1
where
1
a 0 = 2 ∫ f ( x) dx
0
1
a n = 2 ∫ f ( x) cos nx dx
0
9. Find the constant term in the Fourier series expansion of f ( x ) = x in (−π , π ) .
Ans:
a 0 = 0 since f (x ) is an odd function in (−π , π ) .
10. State Dirichlet’s conditions for Fourier series.
Ans:
(i) f (x) is defined and single valued except possibly at a finite number of points in (−π , π ) .
(ii) f (x) is periodic with period 2 π .
(iii) f (x) and f ′(x) are piecewise continuous in (−π , π ) .
Then the Fourier series of f (x ) converges to
(a) f (x) if x is a point of continuity
f ( x + 0) + f ( x − 0)
(b) if x is a point of discontinuity.
2
11. What you mean by Harmonic Analysis?
Ans:
The process of finding the Fourier series for a function given by numerical value is
known as harmonic analysis. In harmonic analysis the Fourier coefficients ao , a n , and bn of the
function y = f (x) in (0 , 2 π ) are given by
a o = 2[mean value of y in (0 , 2 π )]
a n = 2[mean value of y cos nx in (0 , 2 π )]
bn = 2[mean value of y sin nx in (0 , 2 π )]
25
26. 2x
1 + π , − π < x < 0
12. In the Fourier expansion of f ( x) = in (−π , π ) . Find the value of bn ,
1 − 2 x , 0 < x < π
π
the coefficient of sin nx.
Ans:
Since f (x) is an even function the value of bn = 0.
2( − x) 2x
In − π ≤ x ≤ 0 i.e., 0 ≤ − x ≤ π , f (− x ) = 1 − π = 1 + π = f ( x )
13. What is the constant term and the coefficient of cos nx, a n in the Fourier expansion of
f ( x) = x − x 3 in (-7 , 7)?
Ans:
Given f ( x) = x − x 3
f ( − x ) = − x + x 3 = −( x − x 3 ) = − f ( x )
The given function is an odd function. Hence a 0 and a n are zero.
14. State Parseval’s identity for full range expansion of f (x ) as Fourier series in (0 , 2l).
Ans:
c + 2l 2 2 2
1 ∞ ∞
∫ [ f ( x)] dx. = ao + ∑ a n + ∑ bn .
2
2l c 4 n =1 2 n =1 2
where
c + 2l
1 nπx
an =
l ∫
c
f ( x) cos
l
dx, n ≥ 0
c + 2l
1 nπx
bn =
l ∫
c
f ( x) sin
l
dx, n ≥ 1
15. Find a Fourier sine series for the function f (x ) = 1; 0 < x < π .
Ans:
∞
The Fourier sine series of f ( x) = ∑ bn sin nx …………………….(1)
n =1
26
27. π
2
bn =
π ∫ f ( x) sin nx dx
0
π π
2 − cos nx
2
= ∫ sin nx dx =
π 0 π n 0
=−
2
nπ
( (−1) n − 1)
bn = 0, when ' n' is even
4
= , when ' n' is odd
nπ
∞
4
∴ f ( x) = ∑ . sin nπ
n =1, 3, 5, nπ
0 0< x<π
16. If the Fourier series for the function f ( x ) = is
sin x 0 < x < 2π
− 1 2 cos 2 x cos 4 x 1 1 1 1 π −2
f ( x) = + + + + sin x Deduce that − + − ∞ = .
π π 1.3 3.5 2 1.3 3.5 5.7 4
Ans:
π
Putting x = we get
2
π −1 2 1 1 1 1
f = + − + − + ∞ +
2 π π 1.3 3.5 5.7 2
−1 2 1 1 1 1
0= + − + − + ∞ +
π π 1.3 3.5 5.7 2
1 1 1 π −2
− + − ∞ = .
1.3 3.5 5.7 4
17. Define Root mean square value of a function?
Ans:
c +2 l
1
∫y
2
If a function y = f (x ) is defined in (c , c+2l), then dx is called the root mean-
2l c
square(R.M.S.) value of y in (c , c+2l) and is denoted by y.
27
28. c + 2l
2 1
Thus y = ∫y
2
dx.
2l c
18. If f ( x) = x 2 + x is expressed as a Fourier series in the interval (-2 , 2), to which value this
series converges at x = 2.
Ans:
Since x = 2 is a point of continuity, the Fourier series converges to the arithmetic mean of
f (x) at x = -2 and x = 2
f (2) + f (−2) 4 − 2 + 4 + 2
i.e., = =4
2 2
19. If the Fourier series corresponding to f ( x ) = x in the interval (0 , 2π ) is
a0 ∞
+ ∑ (a n cos nx + bn sin nx), without finding the values of a 0, a n , bn find the value of
2 n =1
2 ∞
a0
+ ∑ (a n + bn ).
2 2
2 n =1
Ans:
By using Parseval’s identity,
2 2π 2π
a0 ∞
1 1 x3 8
+ ∑ (a n + bn ) = ∫ x 2 dx = = π 2 .
2 2
2 π 0 3
π 0 3
n =1
20. Find the constant term in the Fourier series corresponding to f ( x) = cos 2 x expressed in the
interval (−π , π ) .
Ans:
Given f ( x) = cos 2 x
π π π
1 1 1 + cos 2 x 1 sin 2 x
Now a 0 = ∫π cos x dx = π −∫π 2 dx = π x + 2 0 = 1
2
π −
PART B
1. (i) Express f ( x) = x sin x as a Fourier series in 0 ≤ x ≤ 2π .
28
29. 2l πx 1 2πx 1 3πx
(ii) Show that for 0 < x <l, x = sin − sin + sin . Using root mean square
p l 2 l 3 l
1 1 1
value of x, deduce the value of 2
+ 2 + 2 +
1 2 3
2. (i) Find the Fourier series of periodicity 3 for f ( x ) = 2 x − x 2 in 0 < x < 3.
(ii) Find the Fourier series expansion of period 2 π for the function y = f (x) which is defined
in (0 , 2π ) by means of the table of values given below. Find the series upto the third harmonic.
x 0 π 2π π 4π 5π 2π
3 3 3 3
f (x ) 1.0 1.4 1.9 1.7 1.5 1.2 1.0
3.(i) Find the Fourier series of periodicity 2 π for f ( x) = x 2 for 0 < x < 2 π .
l 4l πx 1 3πx
(ii) Show that for 0 < x <l, x = − cos + 2 cos + . Deduce that
2 π2 l 3 l
1 1 1 π4
+ 4 + 4 + = .
14 3 5 96
l − x, 0 < x ≤ l
4. (i) Find the Fourier series for f ( x) = . Hence deduce the sum to infinity of
0, l ≤ x ≤ 2l
∞
1
the series ∑ (2n + 1)
n =0
2
.
(ii) Find the complex form of Fourier series of f ( x ) = e ax (−π < x < π ) in the form
sinh aπ ∞
a + in inx π ∞
(−1) n
e ax =
π
∑ (−1) n
−∞ a2 + n2
e and hence prove that =∑ 2
a sinh aπ −∞ n + a 2
.
5. Obtain the half range cosine series for f ( x) = x in (0 , π ).
6. Find the Fourier series for f ( x) = cos x in the interval (−π , π ) .
1 1 π3
7. (i) Expanding x(π − x) as a sine series in (0 , π ) show that 1 − + 3 + = .
33 5 32
(ii) Find the Fourier series as far as the second harmonic to represent the function given in the
following data.
x 0 1 2 3 4 5
29
30. f (x ) 9 18 24 28 26 20
8. Obtain the Fourier series for f (x ) of period 2l and defined as follows
L + x in ( − L,0)
f ( x) =
L − x in (0, L)
1 1 1 π2
Hence deduce that + 2 + 2 + = .
12 3 5 8
9. Obtain the half range cosine series for f ( x) = x in (0 , π ).
1 in (0, π )
10. (i) Find the Fourier series of f ( x ) =
2 in (π ,2π )
(ii) Obtain the sine series for the function
l
x in 0 ≤ x ≤ 2
f ( x) =
l − x in l ≤ x ≤ l
2
11. (i) Find the Fourier series for the function
0 in (−1, 0)
f ( x) = and f ( x + 2) = f ( x ) for all x.
1 in (0, 1)
(ii) Determine the Fourier series for the function
πx, 0 ≤ x ≤1
f ( x) =
π (2 − x ), 1 ≤ x ≤ 2
12. Obtain the Fourier series for f ( x ) = 1 + x + x 2 in (−π , π ) . Deduce that
1 1 1 π2
+ 2 + 2 + = .
12 2 3 6
13. Obtain the constant term and the first harmonic in the Fourier series expansion for f (x)
where f (x) is given in the following table.
x 0 1 2 3 4 5 6 7 8 9 10 11
f (x) 18. 18. 17. 15. 11. 8.3 6. 5. 6. 9. 12. 15.7
0 3 4 0 4
0 7 6 0 6
14. (i) Express f ( x) = x sin x as a Fourier series in (−π , π ).
30
31. (ii) Obtain the half range cosine series for f ( x) = ( x − 2) 2 in the interval 0 < x < 2.
15. Find the half range sine series of f ( x) = x cos x in (0 , π ).
16. (i) Find the Fourier series expansion of f (x ) = e − x in (−π , π )
(ii) Find the half-range sine series of f (x ) = sin ax in (0 , l).
17. Expand f (x ) = x - x 2 as a Fourier series in -1 < x < 1 and using this series find the r.m.s.
value of f (x) in the interval.
18. The following table gives the variations of a periodic function over a period T.
0 T T T 2T 5T T
x 6 3 2 3 6
f (x) 1.98 1.3 1.05 1.3 -0.88 -0.25 1.98
2πx
Show that f (x ) = 0.75 + 0.37 cos θ +1.004 sin θ , where θ =
T
19. Find the Fourier series upto the third harmonic for the function y = f (x) defined in (0 , π )
from the table
x 0 π 2π 3π 4π 5π π
6 6 6 6 6
f (x) 2.34 2.2 1.6 0.83 0.51 0.88 1.19
20. (i) Find the half-range (i) cosine series and (ii) sine series for f (x ) = x 2 in (0 , π )
(ii) Find the complex form of the Fourier series of f (x) = cos ax in (- π , π ).
31