# Keywords: Eigenvalues (21)

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# Differential Equations, Spring 2004

Study of ordinary differential equations, including modeling of physical problems and interpretation ... (more)

Study of ordinary differential equations, including modeling of physical problems and interpretation of their solutions. Standard solution methods for single first-order equations, including graphical and numerical methods. Higher-order forced linear equations with constant coefficients. Complex numbers and exponentials. Matrix methods for first-order linear systems with constant coefficients. Non-linear autonomous systems; phase plane analysis. Fourier series; Laplace transforms. (less)

Subject:
Mathematics and Statistics
Material Type:
Activities and Labs
Assessments
Full Course
Homework and Assignments
Lecture Notes
Syllabi
Video Lectures
Other
Collection:
MIT OpenCourseWare
Provider:
M.I.T.
Author:
Miller, Haynes R.
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# Eigen-stuff in a Nutshell

This module provides a brief overview and review of the importance of ... (more)

This module provides a brief overview and review of the importance of eigenvectors and eigenvalues in analyzing and understanding LTI systems. (less)

Subject:
Mathematics and Statistics
Material Type:
Syllabi
Collection:
Connexions
Provider:
Rice University
Author:
Justin Romberg
Michael Haag
No Strings Attached

# Eigenvectores y Eigenvalores

This module defines eigenvalues and eigenvectors and explains a method of finding ... (more)

This module defines eigenvalues and eigenvectors and explains a method of finding them given a matrix. These ideas are presented, along with many examples, in hopes of leading up to an understanding of the Fourier Series. (less)

Subject:
Science and Technology
Material Type:
Syllabi
Collection:
Connexions
Provider:
Rice University
Author:
Justin Romberg
Michael Haag
No Strings Attached

# Eigenvectors and Eigenvalues

This module defines eigenvalues and eigenvectors and explains a method of finding ... (more)

This module defines eigenvalues and eigenvectors and explains a method of finding them given a matrix. These ideas are presented, along with many examples, in hopes of leading up to an understanding of the Fourier Series. (less)

Subject:
Mathematics and Statistics
Material Type:
Syllabi
Collection:
Connexions
Provider:
Rice University
Author:
Justin Romberg
Michael Haag
No Strings Attached

# Generalidades de Eigenvectores y Eigenvalores

Este modulo nos da un pequeño repaso de la importancia de los ... (more)

Este modulo nos da un pequeño repaso de la importancia de los eigenvectores y eigenvalores en el análisis y entedimiento de los sistemas LTI. (less)

Subject:
Science and Technology
Material Type:
Syllabi
Collection:
Connexions
Provider:
Rice University
Author:
Justin Romberg
Michael Haag
No Strings Attached

# Introductory Quantum Mechanics I, Fall 2005

Fundamental concepts of quantum mechanics: wave properties, uncertainty principles, Schrodinger equation, and ... (more)

Fundamental concepts of quantum mechanics: wave properties, uncertainty principles, Schrodinger equation, and operator and matrix methods. Basic applications to: one-dimensional potentials (harmonic oscillator), three-dimensional centrosymetric potentials (hydrogen atom), and angular momentum and spin. Approximation methods: WKB method, variational principle, and perturbation theory. (less)

Subject:
Science and Technology
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Assessments
Full Course
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Collection:
MIT OpenCourseWare
Provider:
M.I.T.
Author:
Voorhis, Troy Van
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# Linear Algebra: Eigenvalues of a 3x3 Matrix

This 14-minute video lesson shows how to determine the eigenvalues of a ... (more)

This 14-minute video lesson shows how to determine the eigenvalues of a 3x3 matrix. (less)

Subject:
Mathematics and Statistics
Material Type:
Video Lectures
Collection:
Provider:
Author:
Khan, Salman
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# Linear Algebra: Example Solving for the Eigenvalues of a 2x2 Matrix

This 6-minute video lesson gives an example of how to solve for ... (more)

This 6-minute video lesson gives an example of how to solve for the eigenvalues of a 2x2 matrix. (less)

Subject:
Mathematics and Statistics
Material Type:
Video Lectures
Collection:
Provider:
Author:
Khan, Salman
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# Linear Algebra II

Linear Algebra is both rich in theory and full of interesting applications; ... (more)

Linear Algebra is both rich in theory and full of interesting applications; in this course the student will try to balance both. This course includes a review of topics learned in Linear Algebra I. Upon successful completion of this course, the student will be able to: Solve systems of linear equations; Define the abstract notions of vector space and inner product space; State examples of vector spaces; Diagonalize a matrix; Formulate what a system of linear equations is in terms of matrices; Give an example of a space that has the Archimedian property; Use the Euclidean algorithm to find the greatest common divisor; Understand polar form and geometric interpretation of the complex numbers; Explain what the fundamental theorem of algebra states; Determine when two matrices are row equivalent; State the Fredholm alternative; Identify matrices that are in row reduced echelon form; Find a LU factorization for a given matrix; Find a PLU factorization for a given matrix; Find a QR factorization for a given matrix; Use the simplex algorithm; Compute eigenvalues and eigenvectors; State Shur's Theorem; Define normal matrices; Explain the composition and the inversion of permutations; Define and compute the determinant; Explain when eigenvalues exist for a given operator; Normal form of a nilpotent operator; Understand the idea of Jordan blocks, Jordan matrices, and the Jordan form of a matrix; Define quadratic forms; State the second derivative test; Define eigenvectors and eigenvalues; Define a vector space and state its properties; State the notions of linear span, linear independence, and the basis of a vector space; Understand the ideas of linear independence, spanning set, basis, and dimension; Define a linear transformation; State the properties of linear transformations; Define the characteristic polynomial of a matrix; Define a Markov matrix; State what it means to have the property of being a stochastic matrix; Define a normed vector space; Apply the Cauchy Schwarz inequality; State the Riesz representation theorem; State what it means for a nxn matrix to be diagonalizable; Define Hermitian operators; Define a Hilbert space; Prove the Cayley Hamilton theorem; Define the adjoint of an operator; Define normal operators; State the spectral theorem; Understand how to find the singular-value decomposition of an operator; Define the notion of length for abstract vectors in abstract vector spaces; Define orthogonal vectors; Define orthogonal and orthonormal subsets of R^n; Use the Gram-Schmidt process; Find the eigenvalues and the eigenvectors of a given matrix numerically; Provide an explicit description of the Power Method. (Mathematics 212) (less)

Subject:
Mathematics and Statistics
Material Type:
Assessments
Full Course
Homework and Assignments
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Textbooks
Collection:
Saylor Foundation
Provider:
The Saylor Foundation

# Linear Algebra: Introduction to Eigenvalues and Eigenvectors

This 8-minute video explains what eigenvectors and eigenvalues are and why they ... (more)

This 8-minute video explains what eigenvectors and eigenvalues are and why they are interesting. (less)

Subject:
Mathematics and Statistics
Material Type:
Video Lectures
Collection:
Provider:
Author:
Khan, Salman
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# Linear Algebra: Proof of Formula for Determining Eigenvalues

This 9-minute video lesson shows the proof of the formula for determining ... (more)

This 9-minute video lesson shows the proof of the formula for determining Eigenvalues. (less)

Subject:
Mathematics and Statistics
Material Type:
Video Lectures
Collection:
Provider:
Author:
Khan, Salman
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# Linear Algebra, Spring 2010

This is a basic subject on matrix theory and linear algebra. Emphasis ... (more)

This is a basic subject on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices. (less)

Subject:
Mathematics and Statistics
Material Type:
Assessments
Homework and Assignments
Syllabi
Video Lectures
Collection:
MIT OpenCourseWare
Provider:
M.I.T.
Author:
Strang, Gilbert
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# Mathematics for Economists

These notes, tutorials, and solutions cover the basic tools and applications in ... (more)

These notes, tutorials, and solutions cover the basic tools and applications in order to prepare the student for the study of Macroeconomics, Microeconomics and Econometrics at an intermediate and advanced level. (less)

Subject:
Material Type:
Lecture Notes
Collection:
University of Cape Town
Provider:
UCT OpenContent
Author:
Katherine Eyal
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# Mathematics for Materials Scientists and Engineers, Fall 2003

The class will cover mathematical techniques necessary for understanding of materials science ... (more)

The class will cover mathematical techniques necessary for understanding of materials science and engineering topics such as energetics, materials structure and symmetry, materials response to applied fields, mechanics and physics of solids and soft materials. The class uses examples from 3.012 to introduce mathematical concepts and materials-related problem solving skills. Topics include linear algebra and orthonormal basis, eigenvalues and eigenvectors, quadratic forms, tensor operations, symmetry operations, calculus of several variables, introduction to complex analysis, ordinary and partial differential equations, theory of distributions, fourier analysis and random walks. (less)

Subject:
Science and Technology
Material Type:
Full Course
Homework and Assignments
Lecture Notes
Syllabi
Other
Collection:
MIT OpenCourseWare
Provider:
M.I.T.
Author:
Carter, W. Craig
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# The Old Laplace Transform

This module examines the Laplace Transform, an analytical tool that produces exact ... (more)

This module examines the Laplace Transform, an analytical tool that produces exact solutions for small, closed-form, tractable systems. We use the Laplace transform to move toward a solution for the nerve fiber potentials modeled by the dynamic Strang Quartet in the earlier module of the same name. (less)

Subject:
Mathematics and Statistics
Science and Technology
Material Type:
Syllabi
Collection:
Connexions
Provider:
Rice University
Author:
Doug Daniels
Steven Cox
No Strings Attached

# Quantum Physics II, Fall 2004

Together 8.05 and 8.06 cover quantum physics with applications drawn from modern ... (more)

Together 8.05 and 8.06 cover quantum physics with applications drawn from modern physics. General formalism of quantum mechanics: states, operators, Dirac notation, representations, measurement theory. Harmonic oscillator: operator algebra, states. Quantum mechanics in three-dimensions: central potentials and the radial equation, bound and scattering states, qualitative analysis of wavefunctions. Angular momentum: operators, commutator algebra, eigenvalues and eigenstates, spherical harmonics. Spin: Stern-Gerlach devices and measurements, nuclear magnetic resonance, spin and statistics. Addition of angular momentum: Clebsch-Gordan series and coefficients, spin systems, and allotropic forms of hydrogen. (less)

Subject:
Science and Technology
Material Type:
Full Course
Homework and Assignments
Lecture Notes
Syllabi
Collection:
MIT OpenCourseWare
Provider:
M.I.T.
Author:
Stewart, Iain
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# Quantum Theory I, Fall 2002

Topics include uncertainty relation, observables, eigenstates, eigenvalues, probabilities of the results of ... (more)

Topics include uncertainty relation, observables, eigenstates, eigenvalues, probabilities of the results of measurement, Transformation Theory, equations of motion, and constants of motion. Symmetry in Quantum Mechanics, Representations of Symmetry Groups. Variational and Perturbation Approximations. Systems of Identical Particles and Applications. Time-Dependent Perturbation Theory. Scattering Theory - Phase Shifts, Born Approximation. The Quantum Theory of Radiation. Second Quantization and Many-Body Theory. Relativistic Quantum Mechanics of One Electron. 8.321 is the first semester of a two-semester subject on quantum theory, stressing principles. Topics covered include: Hilbert spaces, observables, uncertainty relations, eigenvalue problems and methods for solution thereof, time-evolution in the Schrodinger, Heisenberg, and interaction pictures, connections between classical and quantum mechanics, path integrals, quantum mechanics in EM fields, angular momentum, time-independent perturbation theory, density operators, and quantum measurement. (less)

Subject:
Science and Technology
Material Type:
Full Course
Homework and Assignments
Lecture Notes
Syllabi
Collection:
MIT OpenCourseWare
Provider:
M.I.T.
Author:
Taylor, Washington
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.desu si egaugnal gnimmargorp avaJ ehT .gninnalp dna ,tnemeganam ,ecneics ,gnireenigne ni ... (more)

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Subject:
Science and Technology
Material Type:
Assessments
Full Course
Homework and Assignments
Lecture Notes
Syllabi
Collection:
MIT OpenCourseWare
Provider:
M.I.T.
Author:
George Kocur
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