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LINEAR ALGEBRA FOR EOR | Summary (RUG)

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Summary of chapters 23-27 from Mathematics for Economists by Simon & Blume. Covers all material needed for the final exam of the course Linear Algebra for EOR in the programme Econometrics and Operations Research at the University of Groningen.

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Summarized whole book?
No
Which chapters are summarized?
Chapter 23-27
Uploaded on
November 24, 2022
Number of pages
12
Written in
2021/2022
Type
Summary

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Linear Algebra for EOR
(University of Groningen)
Summary 2021-2022
Stuvia: marcellaschrijver




Eigenvalues and eigenvectors ................................................................................................................ 2
Matrices .................................................................................................................................................. 3
General solutions ................................................................................................................................... 5
Phase portraits ....................................................................................................................................... 7
Steady states .......................................................................................................................................... 7
1st order systems of differential equations ........................................................................................... 8
Determinants.......................................................................................................................................... 9
Spaces and subspaces .......................................................................................................................... 11

, Eigenvalues and eigenvectors

Eigenvalue
Value 𝑟 such that 𝑑𝑒𝑡(𝐴 − 𝑟𝐼) = 0

𝑘 × 𝑘 matrix 𝐴 with eigenvalues 𝑟1 , … , 𝑟𝑘
○ Trace: 𝑟1 + 𝑟2 + ⋯ + 𝑟𝑘
○ Determinant: 𝑟1 ∙ 𝑟2 ∙ ⋯ ∙ 𝑟𝑘



Eigenvector
Nonzero vector 𝑣 such that (𝐴 − 𝑟𝐼)𝑣 = 0 or 𝐴𝑣 = 𝑟𝑣



Generalized eigenvector
Nonzero vector 𝑤 such that (𝐴 − 𝑟𝐼)𝑤 = 𝑣
○ (𝐴 − 𝑟𝐼)𝑤 ≠ 0 and (𝐴 − 𝑟𝐼)𝑘 𝑤 = 0



Algebraic multiplicity
am(𝑟) = #times the eigenvalue is repeated



Geometric multiplicity
gm(𝑟) = #independent eigenvectors corresponding to the eigenvalue



Quadratic form 𝑸(𝒙) = 𝒙𝑻 𝑨𝒙
○ Positive definite: All eigenvalues > 0
○ Negative definite: All eigenvalues < 0
○ Positive semidefinite: All eigenvalues ≥ 0
○ Negative semidefinite: All eigenvalues ≤ 0
○ Indefinite: Has positive and negative eigenvalues

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