lecture #8: useful matrix results - asl.epfl.ch · foundations and trends in machine learning, vol....
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Proc. IEEE, vol. 102, no. 4, pp. 460-497, April 2014. Foundations and Trends in Machine Learning, vol. 7, no. 4-5, pp. 311-801, July 2014.
Course EE210B Spring Quarter 2015
1
Professor Ali H. Sayed UCLA Electrical Engineering
INFERENCE OVER NETWORKS
LECTURE #8: Useful Matrix Results
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 2
References
Appendix F (Useful Matrix and Convergence Results, pp. 761-776): A. H. Sayed, ``Adaptation, learning, and optimization over networks,'' Foundations and Trends in Machine Learning, vol. 7, issue 4-5, pp. 311-801, NOW Publishers, 2014.
Appendices C (Stochastic Matrices) and D (Block Maximum Norm): A. H. Sayed, ``Diffusion adaptation over networks,'' in Academic Press Library in Signal Processing, vol. 3, R. Chellapa and S. Theodoridis, editors, pp. 323-454, Academic Press, Elsevier, 2014.
Proc. IEEE, vol. 102, no. 4, pp. 460-497, April 2014. Foundations and Trends in Machine Learning, vol. 7, no. 4-5, pp. 311-801, July 2014.
Course EE210B Spring Quarter 2015
Kronecker Products
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 4
Kronecker Products
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 5
Kronecker Products
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 6
Kronecker Products
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 7
Block Kronecker Products
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 8
Block Kronecker Products
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 9
Block Kronecker Products
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 10
Block Kronecker Products
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 11
Block Kronecker Products
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 12
Block Kronecker Products
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 13
Block Kronecker Products
Proc. IEEE, vol. 102, no. 4, pp. 460-497, April 2014. Foundations and Trends in Machine Learning, vol. 7, no. 4-5, pp. 311-801, July 2014.
Course EE210B Spring Quarter 2015
Vector and Matrix Norms
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 15
Vector Norms
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 16
Matrix Norms
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 17
Matrix Norms
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 18
Equivalent Matrix Norms
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 20
One Useful Matrix Norm
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 21
One Useful Matrix Norm
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 22
One Useful Matrix Norm
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 23
One Useful Matrix Norm
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 24
One Useful Matrix Norm
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 25
One Useful Matrix Norm
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 26
Statement
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 27
Proof
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 28
Proof
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 29
Proof
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 30
Block Maximum Norm
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 31
Block Maximum Norm
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 32
Properties
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 33
Properties
Proc. IEEE, vol. 102, no. 4, pp. 460-497, April 2014. Foundations and Trends in Machine Learning, vol. 7, no. 4-5, pp. 311-801, July 2014.
Course EE210B Spring Quarter 2015
Jensen’s Inequality
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 35
Jensen’s Inequality
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 36
Jensen’s Inequality
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 37
Jensen’s Inequality
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 38
Jensen’s Inequality
Proc. IEEE, vol. 102, no. 4, pp. 460-497, April 2014. Foundations and Trends in Machine Learning, vol. 7, no. 4-5, pp. 311-801, July 2014.
Course EE210B Spring Quarter 2015
Perturbation Bounds On Eigenvalues
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 40
Weyl’s Theorem
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 41
Weyl’s Theorem
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 42
Weyl’s Theorem
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 43
Gershgorin’s Theorem
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 44
Gershgorin’s Theorem
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 45
Gershgorin’s Theorem
Proc. IEEE, vol. 102, no. 4, pp. 460-497, April 2014. Foundations and Trends in Machine Learning, vol. 7, no. 4-5, pp. 311-801, July 2014.
Course EE210B Spring Quarter 2015
Lyapunov Equations
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 47
Setting
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 48
Discrete-Time Lyapunov Eqs
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 49
Statement
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 50
Proof
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 51
Proof
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 52
Proof
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 53
Continuous-Time Lyapunov Eqs
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 54
Statement
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 55
Proof
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 56
Proof
Proc. IEEE, vol. 102, no. 4, pp. 460-497, April 2014. Foundations and Trends in Machine Learning, vol. 7, no. 4-5, pp. 311-801, July 2014.
Course EE210B Spring Quarter 2015
Stochastic Matrices
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 58
Stochastic Matrices
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 59
Properties
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 60
Properties
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed)
Proof 61
Strong primitiveness ensures a unique eigenvalue at one by the Perron Frobenius Theorem.
Proc. IEEE, vol. 102, no. 4, pp. 460-497, April 2014. Foundations and Trends in Machine Learning, vol. 7, no. 4-5, pp. 311-801, July 2014.
Course EE210B Spring Quarter 2015
Inequality Recursions
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 66
Deterministic Recursion
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 67
Deterministic Recursion
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 68
Big and Little-O Notation
Lecture #8: Useful Matrix Results EE210B: Inference over Networks (A. H. Sayed) 69
Stochastic Recursion
Proc. IEEE, vol. 102, no. 4, pp. 460-497, April 2014. Foundations and Trends in Machine Learning, vol. 7, no. 4-5, pp. 311-801, July 2014.
Course EE210B Spring Quarter 2015
End of Lecture