<--- Back to Details
First PageDocument Content
Matrix theory / Eigenvalues and eigenvectors / Spectral theorem / Diagonalizable matrix / Generalized eigenvector / Cayley–Hamilton theorem / Characteristic polynomial / Determinant / Minimal polynomial / Algebra / Mathematics / Linear algebra
Date: 2002-03-20 21:36:21
Matrix theory
Eigenvalues and eigenvectors
Spectral theorem
Diagonalizable matrix
Generalized eigenvector
Cayley–Hamilton theorem
Characteristic polynomial
Determinant
Minimal polynomial
Algebra
Mathematics
Linear algebra

Down with Determinants! Sheldon Axler 21 December 1994

Add to Reading List

Source URL: www.cs.berkeley.edu

Download Document from Source Website

File Size: 190,18 KB

Share Document on Facebook

Similar Documents

Week 6 (due May 14) Reading: Srednicky, sectionIn this exercise you will apply the Faddeev-Popov procedure to simplify some finite-dimensional integrals over spaces of matrices. Such integrals are known as matrix

DocID: 1v5Qz - View Document

Geometry of Neural Network Loss Surfaces via Random Matrix Theory Jeffrey Pennington 1 Yasaman Bahri 1 Abstract Understanding the geometry of neural network

DocID: 1v21M - View Document

Understanding and Improving Deep Learning with Random Matrix Theory Jeffrey Pennington Google Brain, NYC November 8, 2017

DocID: 1uOTm - View Document

Week 6 (due Feb. 19) Reading: Srednicki, sectionsNB: In the following problems it is better to use FeynCalc package for Mathematica than to do gamma-matrix traces by hand. See http://www.feyncalc.org/ for detaile

DocID: 1uHIP - View Document

Compressed Sensing Theory Projection Matrix Theory

DocID: 1uwVY - View Document