Determination Of Coefficients Using Fourier Series (17.5) - Modelling – Vibrating String, Wave Equation
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Determination of Coefficients Using Fourier Series

Determination of Coefficients Using Fourier Series

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Practice

Interactive Audio Lesson

Listen to a student-teacher conversation explaining the topic in a relatable way.

Fourier Series Representation

🔒 Unlock Audio Lesson

Sign up and enroll to listen to this audio lesson

0:00
--:--
Teacher
Teacher Instructor

Today we will learn how to represent the initial conditions of the vibrating string using Fourier series. Specifically, we'll focus on how to calculate the coefficients A_n.

Student 1
Student 1

How do we obtain the coefficients A_n using our initial function f(x)?

Teacher
Teacher Instructor

Great question, Student_1! We calculate A_n using the integral formula: A_n = (2/L) ∫_0^L f(x) sin(nπx/L) dx. This essentially projects our function f(x) onto the sine basis functions.

Student 2
Student 2

What happens if f(x) contains frequencies outside the range of our basis functions?

Teacher
Teacher Instructor

If f(x) contains such frequencies, then our Fourier series may not converge correctly. It's important to ensure our function is periodic or defined appropriately within the interval.

Student 3
Student 3

Can you give us a quick recap of the A_n formula?

Teacher
Teacher Instructor

Certainly! A_n is calculated with (2/L) times the integral of f(x) multiplied by sin(nπx/L) over the interval from 0 to L. This is essential for linking back to our wave equation solution!

Determining Coefficient B_n

🔒 Unlock Audio Lesson

Sign up and enroll to listen to this audio lesson

0:00
--:--
Teacher
Teacher Instructor

Now, let’s shift our focus to the initial velocity of the vibrating string, represented by g(x). For this, we determine the coefficients B_n.

Student 2
Student 2

What’s the formula for B_n again?

Teacher
Teacher Instructor

B_n is found using B_n = (2/n^2πc) ∫_0^L g(x) sin(nπx/L) dx. This coefficient contributes to the time-dependent part of the solution.

Student 4
Student 4

Why do we divide by n^2πc in B_n?

Teacher
Teacher Instructor

That’s a great inquiry, Student_4! The n^2πc term normalizes the contribution of the initial velocity across different frequencies, ensuring each mode of vibration is weighted properly.

Student 1
Student 1

Can we apply this in real-world engineering problems?

Teacher
Teacher Instructor

Yes! Understanding these coefficients allows engineers to analyze how vibrations in structures will propagate, which is crucial in civil engineering.

Introduction & Overview

Read summaries of the section's main ideas at different levels of detail.

Quick Overview

This section explains how to determine the coefficients of a Fourier series for the solution of a vibrating string based on initial conditions.

Standard

Using the initial conditions of a vibrating string represented by the wave equation, this section details the process of calculating the Fourier series coefficients, specifically focusing on the coefficients A_n and B_n, derived through integrals involving the initial shape and velocity of the string.

Detailed

Detailed Summary

In this section, we explore the determination of coefficients for the Fourier series solution of the vibrating string modeled by the wave equation. The coefficients A_n and B_n are essential in expressing the string's displacement over time as a series of sine functions.

Key Points:

  1. Fourier Series Representation: The initial condition for the displacement of the string, u(x, 0) = f(x), can be represented in terms of the sine functions of the Fourier series involving the coefficients A_n. The formula for A_n can be simplified as follows:

$$A_n = rac{2}{L} imes ext{∫}_0^L f(x) ext{sin}igg( rac{n ext{π}x}{L}igg) ext{dx}$$

  1. Velocity Initial Condition: The initial velocity ∂u/∂t(x,0) = g(x) determines the coefficients B_n, represented as:

$$B_n = rac{2}{n^2 ext{π}c} imes ext{∫}_0^L g(x) ext{sin}igg( rac{n ext{π}x}{L}igg) ext{dx}$$

  1. Overall Importance: The coefficients A_n and B_n are critical for constructing the solution u(x, t) and understanding how the string behaves over time under various initial conditions.

Youtube Videos

But what is the Fourier Transform?  A visual introduction.
But what is the Fourier Transform? A visual introduction.
The Fourier Series and Fourier Transform Demystified
The Fourier Series and Fourier Transform Demystified
But what is a Fourier series?  From heat flow to drawing with circles | DE4
But what is a Fourier series? From heat flow to drawing with circles | DE4
How to Derive Fourier Coefficient | Learn Signals & Systems | ECE | EEE | Engineering
How to Derive Fourier Coefficient | Learn Signals & Systems | ECE | EEE | Engineering
Ch1 - Fourier Series
Ch1 - Fourier Series
Fourier Series introduction
Fourier Series introduction
The Powerful Fourier Transform #math #science
The Powerful Fourier Transform #math #science
Determination of Fourier coefficients by (Euler methods)
Determination of Fourier coefficients by (Euler methods)
Fourier Series of Square Wave (Calculating Coefficients | Simulation)
Fourier Series of Square Wave (Calculating Coefficients | Simulation)
Visualizing Fourier coefficients! #Mathematics #Knowledge Seeding Project#Hot Topic Creation Plan
Visualizing Fourier coefficients! #Mathematics #Knowledge Seeding Project#Hot Topic Creation Plan

Audio Book

Dive deep into the subject with an immersive audiobook experience.

Determining Coefficient A

Chapter 1 of 2

🔒 Unlock Audio Chapter

Sign up and enroll to access the full audio experience

0:00
--:--

Chapter Content

From the initial conditions:

X∞ (cid:16)nπx(cid:17) 2 Z L (cid:16)nπx(cid:17)
u(x,0)=f(x)= A sin ⇒A = f(x)sin dx
n L n L L
n=1 0

Detailed Explanation

This chunk describes how to determine the coefficients 'A' for the Fourier series expansion of the initial displacement of the string. We start with the initial condition given by 'u(x,0) = f(x)', which represents the shape of the vibrating string at time t=0. The formula for coefficient 'A' involves integrating 'f(x)sin(nπx/L)' over the length of the string from 0 to L. This integration helps capture how much of each sine component is present in the initial shape of the string.

Examples & Analogies

Imagine you are trying to recreate a melody on a musical instrument. The initial shape of the melody can be compared to the function 'f(x)', while the different notes or harmonics are like the sine functions. Just as you would find how much of each note is needed to reproduce the melody, here we are figuring out how much of each sine wave (harmonic) is needed to represent the initial position of the string.

Determining Coefficient B

Chapter 2 of 2

🔒 Unlock Audio Chapter

Sign up and enroll to access the full audio experience

0:00
--:--

Chapter Content

∂ ∂u t(x,t)(cid:12) (cid:12) (cid:12)
g(x)= X∞ n Lπc B nsin(cid:16)n Lπx(cid:17) ⇒B n = n2 πcZ L g(x)sin(cid:16)n Lπx(cid:17) dx
t=0 n=1 0

Detailed Explanation

This chunk addresses how to find the coefficients 'B', which represent the initial velocities of the points along the string. We utilize the initial velocity condition, '∂u/∂t(x,0) = g(x)', which describes how fast each point on the string is moving at time t=0. The formula for 'B' involves a similar integration as with 'A', this time integrating 'g(x)sin(nπx/L)' over the length of the string. This captures the initial velocity profile of the vibrating string.

Examples & Analogies

Think of a group of people on a trampoline. Each person represents a point on the string, and how high each person jumps initially represents their velocity. To understand how to launch everyone at the right speed to achieve a coordinated bounce, you would need to evaluate how high each person initially jumped. Just like measuring those jumps, we are determining how much of the initial velocity we need to capture for the vibrating string.

Key Concepts

  • Fourier Series: A method to decompose functions into a sum of sine waves.

  • Coefficient A_n: Represents the contributions of the initial displacement in the solution.

  • Coefficient B_n: Represents the contributions of the initial velocity in the solution.

Examples & Applications

Using the initial displacement f(x) = x for a string of length L = 2, calculate A_n.

Given g(x) = x^2, determine B_n for n=1, in the context of the series expansion for the vibrating string.

Memory Aids

Interactive tools to help you remember key concepts

🎵

Rhymes

For every n in the sine, A is the height, B is the line.

📖

Stories

Consider a string stretched tight, with A's revealing its initial height, while B's venture into velocity, mapping motion's reality.

🧠

Memory Tools

Remember: Displacement (A) arrives first, Velocity (B) then bursts.

🎯

Acronyms

A = Away (displacement), B = Buzz (velocity)!

Flash Cards

Glossary

Fourier Series

A method to express a function as a sum of periodic components, used in analyzing waveforms.

Coefficient A_n

The coefficients in the Fourier series that represent the initial displacement of the string.

Coefficient B_n

The coefficients in the Fourier series that represent the initial velocity of the string.

Reference links

Supplementary resources to enhance your learning experience.