Glossary for Linear Algebra + Quick Tips

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Discussion Overview

The thread discusses resources related to Linear Algebra, including a glossary and quick tips for understanding the subject. It encompasses various aspects such as online lectures, course materials, and recommendations for video resources.

Discussion Character

  • Exploratory
  • Technical explanation
  • Homework-related

Main Points Raised

  • Some participants express gratitude for the resources shared, indicating their relevance and timeliness.
  • Links to various online lecture series by W. Gilbert Strang are provided, covering a wide range of topics within Linear Algebra.
  • One participant mentions the importance of downloading video files to improve viewing quality, suggesting potential issues with streaming.
  • Participants highlight specific lecture topics, such as the geometry of linear equations, eigenvalues, and singular value decomposition, which may be of interest to learners.

Areas of Agreement / Disagreement

Participants generally agree on the value of the shared resources, but there is no explicit consensus on any specific aspect of the content or its application.

Contextual Notes

The discussion does not address specific assumptions or limitations regarding the resources or their applicability to different learning contexts.

Who May Find This Useful

Students and educators interested in Linear Algebra, as well as individuals seeking supplementary materials for self-study in mathematics.

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Thanks Greg! That couldn't have come at a better time for me!
 
Thank you, for this subject
 
And in case you haven't checked it out already, there's also the accompanying http://ocw.mit.edu/OcwWeb/Mathematics/18-06Spring-2005/CourseHome/index.htm". The video lectures on the page are pretty good, although you may want to download the full ~100 mb file to reduce stuttering if your connection is not up to it.
 
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W. Gilbert Strang's lectures on Linear Algebra are available on-line

http://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/

Lecture 1 - The Geometry of Linear Equations
Lecture 2 - Elimination with Matrices
Lecture 3 - Multiplication and Inverse Matrices
Lecture 4 - Factorization into A = LU
Lecture 5 - Transposes, Permutations, Spaces Rn
Lecture 6 - Column Space and Nullspace
Lecture 7 - Solving Ax = 0: Pivot Variables, Special Solutions
Lecture 8 - Solving Ax = b: Row Reduced Form R
Lecture 9 - Independence, Basis, and Dimension
Lecture 10 - The Four Fundamental Subspaces
Lecture 11 - Matrix Spaces; Rank 1; Small World Graphs
Lecture 12 - Graphs, Networks, Incidence Matrices
Lecture 13 - Quiz 1 Review
Lecture 14 - Orthogonal Vectors and Subspaces
Lecture 15 - Projections onto Subspaces
Lecture 16 - Projection Matrices and Least Squares
Lecture 17 - Orthogonal Matrices and Gram-Schmidt
Lecture 18 - Properties of Determinants
Lecture 19 - Determinant Formulas and Cofactors
Lecture 20 - Cramer's Rule, Inverse Matrix, and Volume
Lecture 21 - Eigenvalues and Eigenvectors
Lecture 22 - Diagonalization and Powers of A
Lecture 23 - Differential Equations and exp(At)
Lecture 24 - Markov Matrices; Fourier Series
Lecture 24b - Quiz 2 Review
Lecture 25 - Symmetric Matrices and Positive Definiteness
Lecture 26 - Symmetric Matrices and Positive Definiteness
Lecture 27 - Positive Definite Matrices and Minima
Lecture 28 - Similar Matrices and Jordan Form
Lecture 29 - Singular Value Decomposition
Lecture 30 - Linear Transformations and Their Matrices
Lecture 31 - Change of Basis; Image Compression
Lecture 32 - Quiz 3 Review
Lecture 33 - Left and Right Inverses; Pseudoinverse
Lecture 34 - Final Course Review

Also on Youtube - starting with Lecture 1 (Spring 2005) -
 
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