Ordinary Differential Equations

In summary: Lec 34 | MIT 18.03 Differential Equations, Spring 2006Introduction to Chaos: Lorenz Equations.Lec 35 | MIT 18.03 Differential Equations, Spring 2006The Poincaré-Bendixson Theorem and its Applications.Lec 36 | MIT 18.03 Differential Equations, Spring 2006Stable Manifolds, Linear Systems, and the Existence of Periodic SolutionsIn summary, this conversation discusses various resources for learning and understanding linear mathematics in infinite dimensions, signals, boundary value problems, and special functions. These resources include online notes and courses from various universities, as well as other helpful websites.
  • #1
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http://www.math.ohio-state.edu/~gerlach/math/BVtypset/BVtypset.html
LINEAR MATHEMATICS IN INFINITE DIMENSIONS
Signals, Boundary Value Problems
and Special Functions
U. H. Gerlach

Date: March 2004

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Differential Equations (Math 3401/3301)
http://tutorial.math.lamar.edu/AllBrowsers/3401/3401.asp

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Computational Science Education Project - ODE's
http://csep1.phy.ornl.gov/CSEP/ODE/ODE.html
 
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  • #3
Great link and thanks for the time you put into find them.
 
  • #4
very interesting. thank you
 
  • #5
Frobenius series

First off, this is a great link! Thanks for posting!

Second, I'm working on Power Series Methods, Frobenius series, etc., and I'm looking for any help/links on that. I didn't see any on Paul's site. Might be hidden or is there another site that would cover these topics?

Thanks!
 
  • #7
http://ocw.mit.edu/OcwWeb/Mathematics/18-03Spring-2006/CourseHome/index.htm

It's the MIT course website for ODE.

The link for the Honours ODE course is this one:
http://ocw.mit.edu/OcwWeb/Mathematics/18-034Spring-2007/CourseHome/index.htm

The MIT http://ocw.mit.edu/OcwWeb/web/courses/courses/index.htm" is a great resource for free online course materials for ALL the undergrad courses they offer.
 
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  • #8
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  • #10
http://ocw.mit.edu/18-03S06
Differential Equations
As taught in: Spring 2010
http://ocw.mit.edu/courses/mathemat...ations-spring-2010/download-course-materials/

Differential Equations (2006)
http://dspace.mit.edu/bitstream/handle/1721.1/70961/18-03-spring-2006/contents/index.htm?sequence=4
Professor Arthur Mattuck

Lec 1 | MIT 18.03 Differential Equations, Spring 2006
The Geometrical View of y'=f(x,y): Direction Fields, Integral Curves.


Lec 2 | MIT 18.03 Differential Equations, Spring 2006
Euler's Numerical Method for y'=f(x,y) and its Generalizations


Lec 3 | MIT 18.03 Differential Equations, Spring 2006
Solving First-order Linear ODE's; Steady-state and Transient Solutions


Lec 4 | MIT 18.03 Differential Equations, Spring 2006
First-order Substitution Methods: Bernouilli and Homogeneous ODE's


Lec 5 | MIT 18.03 Differential Equations, Spring 2006
First-order Autonomous ODE's: Qualitative Methods, Applications


Lec 6 | MIT 18.03 Differential Equations, Spring 2006
Complex Numbers and Complex Exponentials


Lec 7 | MIT 18.03 Differential Equations, Spring 2006
First-order Linear with Constant Coefficients: Behavior of Solutions, Use of Complex Methods.


Lec 8 | MIT 18.03 Differential Equations, Spring 2006
Continuation; Applications to Temperature, Mixing, RC-circuit, Decay, and Growth Models.


Lec 9 | MIT 18.03 Differential Equations, Spring 2006
Solving Second-order Linear ODE's with Constant Coefficients: The Three Cases


Lec 10 | MIT 18.03 Differential Equations, Spring 2006
Continuation: Complex Characteristic Roots; Undamped and Damped Oscillations.


Lec 11 | MIT 18.03 Differential Equations, Spring 2006
Theory of General Second-order Linear Homogeneous ODE's: Superposition, Uniqueness, Wronskians.


Lec 12 | MIT 18.03 Differential Equations, Spring 2006
Continuation: General Theory for Inhomogeneous ODE's. Stability Criteria for the Constant-coefficient ODE's.


Lec 13 | MIT 18.03 Differential Equations, Spring 2006
Finding Particular Solution to Inhomogeneous ODE's: Operator and Solution Formulas Involving Exponentials.


Lec 14 | MIT 18.03 Differential Equations, Spring 2006
Interpretation of the Exceptional Case: Resonance


Lec 15 | MIT 18.03 Differential Equations, Spring 2006
Introduction to Fourier Series; Basic Formulas for Period 2(pi).


Lec 16 | MIT 18.03 Differential Equations, Spring 2006
Continuation: More General Periods; Even and Odd Functions; Periodic Extension.


Lec 17 | MIT 18.03 Differential Equations, Spring 2006
Finding Particular Solutions via Fourier Series; Resonant Terms; Hearing Musical Sounds.



Lec 19 | MIT 18.03 Differential Equations, Spring 2006
Introduction to the Laplace Transform; Basic Formulas.


Lec 20 | MIT 18.03 Differential Equations, Spring 2006
Derivative Formulas; Using the Laplace Transform to Solve Linear ODE's


Lec 21 | MIT 18.03 Differential Equations, Spring 2006
Convolution Formula: Proof, Connection with Laplace Transform, Application to Physical Problems.


Lec 22 | MIT 18.03 Differential Equations, Spring 2006
Using Laplace Transform to Solve ODE's with Discontinuous Inputs


Lec 23 | MIT 18.03 Differential Equations, Spring 2006
Use with Impulse Inputs; Dirac Delta Function, Weight and Transfer Functions.


Lec 24 | MIT 18.03 Differential Equations, Spring 2006
Introduction to First-order Systems of ODE's; Solution by Elimination, Geometric Interpretation of a System.


Lec 25 | MIT 18.03 Differential Equations, Spring 2006
Homogeneous Linear Systems with Constant Coefficients: Solution via Matrix Eigenvalues (Real and Distinct Case).


Lec 26 | MIT 18.03 Differential Equations, Spring 2006
Continuation: Repeated Real Eigenvalues, Complex Eigenvalues.


Lec 27 | MIT 18.03 Differential Equations, Spring 2006
Sketching Solutions of 2x2 Homogeneous Linear System with Constant Coefficients (some review of linear algebra, characteristic equation and eigenvalues, and discussion of stability)

http://www.math.harvard.edu/archive/21b_fall_04/exhibits/2dmatrices/index.html

Lec 28 | MIT 18.03 Differential Equations, Spring 2006
Matrix Methods for Inhomogeneous Systems: Theory, Fundamental Matrix, Variation of Parameters.


Lec 29 | MIT 18.03 Differential Equations, Spring 2006
Matrix Exponentials; Application to Solving Systems


Lec 30 | MIT 18.03 Differential Equations, Spring 2006
Decoupling Linear Systems with Constant Coefficients


Lec 31 | MIT 18.03 Differential Equations, Spring 2006
Non-linear Autonomous Systems: Finding the Critical Points and Sketching Trajectories; the Non-linear Pendulum.


Lec 32 | MIT 18.03 Differential Equations, Spring 2006
Limit Cycles: Existence and Non-existence Criteria.


Lec 33 | MIT 18.03 Differential Equations, Spring 2006
Relation Between Non-linear Systems and First-order ODE's; Structural Stability of a System, Borderline Sketching Cases; Illustrations Using Volterra's Equation and Principle.
 
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What are Ordinary Differential Equations?

Ordinary Differential Equations (ODEs) are mathematical equations that describe the relationships between a function and its derivatives. They involve only one independent variable and are used to model a wide range of natural phenomena in physics, engineering, and other scientific fields.

What is the difference between Ordinary Differential Equations and Partial Differential Equations?

The main difference between ODEs and Partial Differential Equations (PDEs) is the number of independent variables. ODEs involve only one independent variable, while PDEs involve two or more. Additionally, the derivatives in ODEs are with respect to the single independent variable, whereas in PDEs they can be with respect to any of the independent variables.

What are some real-life applications of Ordinary Differential Equations?

ODEs are used to model a wide range of natural phenomena, including population growth, chemical reactions, pendulum motion, and electrical circuits. They are also used in various areas of engineering, such as control systems, heat transfer, and fluid dynamics.

What are the different types of Ordinary Differential Equations?

ODEs can be classified as either linear or nonlinear, depending on the form of the equation. Linear ODEs can be solved using analytical methods, while nonlinear ODEs often require numerical methods for solutions. ODEs can also be classified as first order (involving only the first derivative of the function) or higher order (involving higher derivatives).

How are Ordinary Differential Equations solved?

ODEs can be solved using a variety of methods, including separation of variables, integrating factors, and power series. For more complex equations, numerical methods such as Euler's method, Runge-Kutta methods, and finite difference methods can be used. The choice of method depends on the specific form of the equation and the desired accuracy of the solution.

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