The document discusses Fourier series and their application to functions defined over intervals. It defines the Fourier sine and cosine series for functions on [-L,L] by extending the functions to the full interval [-π,π] in an odd or even way. The Fourier sine series results from the odd extension, using sine terms, while the Fourier cosine series uses the even extension and cosine terms. Examples are provided of calculating the Fourier sine and cosine series for basic functions over [-1,1]. The approach generalizes to 2L-periodic functions defined on [-L,L].
Its states Periodic function, Fourier series for disontinous function, Fourier series, Intervals, Odd and even functions, Half range fourier series etc. Mostly used as active learning assignment in Degree 3rd sem students.
In this slide fourier series of Engineering Mathematics has been described. one Example is also added for you. Hope this will help you understand fourier series.
UNIT II DISCRETE TIME SYSTEM ANALYSIS 6+6
Z-transform and its properties, inverse z-transforms; difference equation – Solution by z transform,application to discrete systems - Stability analysis, frequency response –Convolution – Discrete Time Fourier transform , magnitude and phase representation.
Its states Periodic function, Fourier series for disontinous function, Fourier series, Intervals, Odd and even functions, Half range fourier series etc. Mostly used as active learning assignment in Degree 3rd sem students.
In this slide fourier series of Engineering Mathematics has been described. one Example is also added for you. Hope this will help you understand fourier series.
UNIT II DISCRETE TIME SYSTEM ANALYSIS 6+6
Z-transform and its properties, inverse z-transforms; difference equation – Solution by z transform,application to discrete systems - Stability analysis, frequency response –Convolution – Discrete Time Fourier transform , magnitude and phase representation.
Fast Fourier transform is an extension of discrete Fourier transform, It is based on divide and conquer algorithm,it is of two types, decimation in time and decimation in frequency algorithm
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
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
I made this presentation for my own college assignment and i had referred contents from websites and other presentations and made it presentable and reasonable hope you will like it!!!
Fast Fourier transform is an extension of discrete Fourier transform, It is based on divide and conquer algorithm,it is of two types, decimation in time and decimation in frequency algorithm
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
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
I made this presentation for my own college assignment and i had referred contents from websites and other presentations and made it presentable and reasonable hope you will like it!!!
On Analytic Review of Hahn–Banach Extension Results with Some GeneralizationsBRNSS Publication Hub
The useful Hahn–Banach theorem in functional analysis has significantly been in use for many years ago. At this point in time, we discover that its domain and range of existence can be extended point wisely so as to secure a wider range of extendibility. In achieving this, we initially reviewed the existing traditional Hahn–Banach extension theorem, before we carefully and successfully used it to generate the finite extension form as in main results of section three.
In mathematics, a partial derivative of a function of several variables is its derivative with respect to one of those variables, with the others held constant (as opposed to the total derivative, in which all variables are allowed to vary). Partial derivatives are used in vector calculus and differential geometry.
Topic from the course of linear algebra and differential equation. The slide carries definition of Fourier series with graphical representation of applications of F-series and an example.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
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.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
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.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Chapter 3 - Islamic Banking Products and Services.pptx
Fourier sine and cosine series
1. TARUN GEHLOT (B.E, CIVIL HONORS)
Recall that the Fourier series of f(x) is defined by
where
We have the following result:
Theorem. Let f(x) be a function defined and integrable on interval .
(1)
If f(x) is even, then we have
and
(2)
If f(x) is odd, then we have
and
2. TARUN GEHLOT (B.E, CIVIL HONORS)
This Theorem helps define the Fourier series for functions defined only on the
interval . The main idea is to extend these functions to the interval and
then use the Fourier series definition.
Let f(x) be a function defined and integrableon . Set
and
Then f1 is odd and f2 is even. It is easy to check that these two functions are defined and
integrable on and are equal to f(x) on . The function f1 is called the odd
extension of f(x),
while f2 is called its even extension.
Definition. Let f(x), f1(x), and f2(x) be as defined above.
(1)
The Fourier series of f1(x) is called the Fourier Sine series of the function f(x),
and is given by
where
3. TARUN GEHLOT (B.E, CIVIL HONORS)
(2)
The Fourier series of f2(x) is called the Fourier Cosine series of the function f(x),
and is given by
where
Example. Find the Fourier Cosine series of f(x) = x for .
Answer. We have
and
Therefore, we have
4. TARUN GEHLOT (B.E, CIVIL HONORS)
Example. Find the Fourier Sine series of the function
Answer. We have
Hence
TARUN GEHLOT (B.E, CIVIL HONORS)
Find the Fourier Sine series of the function f(x) = 1 for .
5. TARUN GEHLOT (B.E, CIVIL HONORS)
Example. Find the Fourier Sine series of the function
Answer. We have
which gives b1 = 0 and for n > 1, we obtain
Hence
Special Case of 2L-periodic functions.
As we did for -periodic functions, we can define
for functions defined on the interval [
TARUN GEHLOT (B.E, CIVIL HONORS)
Find the Fourier Sine series of the function for
> 1, we obtain
periodic functions.
periodic functions, we can define the Fourier Sine and Cosine series
for functions defined on the interval [-L,L]. First, recall the Fourier series of f(
.
the Fourier Sine and Cosine series
(x)
6. TARUN GEHLOT (B.E, CIVIL HONORS)
where
for .
1.
If f(x) is even, then bn = 0, for . Moreover, we have
and
Finally, we have
2.
If f(x) is odd, then an = 0, for all , and
Finally, we have