Lecture 8 : Eigenvalues , Eigenvectors and Spectral Theorem

نویسنده

  • Shayan Oveis Gharan
چکیده

Proof. Suppose Mv = λv. We want to show that λ has imaginary value 0. For a complex number x = a + ib, the conjugate of x, is defined as follows: x∗ = a − ib. So, all we need to show is that λ = λ∗. The conjugate of a vector is the conjugate of all of its coordinate. Taking the conjugate transpose of both sides of the above equality, we have v∗M = λ∗v∗, (8.1) where we used that M = M . So, on one hand, v∗Mv = v∗(Mv) = v∗(λv) = λ(v∗v). and on the other hand, by (8.1) v∗Mv = λ∗v∗v. So, we must have λ = λ∗.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Uniqueness Theorem of the Solution of an Inverse Spectral Problem

This paper is devoted to the proof of the unique solvability ofthe inverse problems for second-order differential operators withregular singularities. It is shown that the potential functioncan be determined from spectral data, also we prove a uniquenesstheorem in the inverse problem.

متن کامل

Strict localization of eigenvectors and eigenvalues

Determination of the eigenvalues and eigenvectors of a matrix is important in many areas of science, for example in web ranking [8, 15], computer graphics and visualization [24], quantum mechanics [5], statistics [12, 20], medicine, communications, construction vibration analysis [3, 23]. One of the most important numerical methods designed to calculate the eigenvalues and eigenvectors of matri...

متن کامل

Spectral measures of random graphs

These lecture notes are devoted to the spectral analysis of adjacency operators of graphs and random graphs. With the notion of unimodular random graphs, it is possible to define a natural notion of average spectral measure which corresponds to the density of states in the language of mathematical physics, to the Plancherel measure for Cayley graphs and, for finite graphs, to the empirical meas...

متن کامل

Lecture : Basic Matrix Results ( 1 of 3 )

Today and next time, we will start with some basic results about matrices, and in particular the eigenvalues and eigenvectors of matrices, that will underlie a lot of what we will do in this class. The context is that eigenvalues and eigenvectors are complex (no pun intended, but true nonetheless) things and—in general—in many ways not so “nice.” For example, they can change arbitrarily as the ...

متن کامل

Spectral Graph Theory and Applications WS 2011 / 2012 Lecture 2 : Spectra of Graphs

Our goal is to use the properties of the adjacency/Laplacian matrix of graphs to first understand the structure of the graph and, based on these insights, to design efficient algorithms. The study of algebraic properties of graphs is called algebraic graph theory. One of the most useful algebraic properties of graphs are the eigenvalues (and eigenvectors) of the adjacency/Laplacian matrix.

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016