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Consider a quadratic form q(x⇶Ä)=x⇶Ä.Ax⇶Ä, where A is a symmetric nxn matrix with eigenvector of .λ1≥λ2≥........≥λn.LetSn-1be the set of all unit vectors in under Rn. Describe the images of Sn-1under q, in terms of the eigenvalues of A.

Short Answer

Expert verified

qSn-1=λn,λ

Step by step solution

01

Given Information:

qx⇶Ä=x⇶Ä.Ax⇶Ä

02

Determining q(Sn-1):

Take a look at the quadratic form:

qx⇶Ä=x⇶Ä.Ax⇶Ä

where A is a symmetric nxn matrix withλ1≥λ2≥..........≥λneigenvalues. Assume thatSn-1is the set of all unit vectors in Rn. We get an orthonomal basisv1,.....vnof Rnusing the spectral theorem.

Avi=λivi

Consider the fact that, for each x⇶Ä∈Sn-1,

x⇶Ä=∑i=1nx⇶Ä,uiui

Consider the following for x⇶Ä.Ax⇶Ä:

x⇶Ä.Ax⇶Ä=∑i.jλix⇶Ä,uix⇶Ä,ujui.yj=∑iλi(x⇶Ä,ui)2

As a result, it indicates

λ1.∑i=1nx⇶Ä,ui2≥.∑i=1nλix⇶Ä,ui2≥∑i=1nλix⇶Ä,ui2

role="math" localid="1660206280724" ⇒λ1≥x⇶Ä.Ax⇶Ä≥λnSincex2Asaresult,wemaydeducethatx⇶Ä.Ax⇶Ä∈λn,λ1⇒qSn-1⊆λn,λ1Considerthefactthat,foreachα∈λn,λ1,λ1≥α≥λn⇒α=³Ùλ1+1+tλnforsomet

Take a look at x⇶Ä=1-tunnow. Take note of this:

x⇶Ä2=t2+1-t2=1

As a result, x⇶Ä∈Sn-1. Now, analyzex⇶Ä.Axâ‡¶Ä in the following manner:

x⇶Ä.Ax⇶Ä=∑x⇶Ä,ui.λii=t2.λ1+1-t2λn=³Ùλ1+1-tλn⇒x⇶Ä.Ax⇶Ä=αItsuggeststhatα∈qSn.Asaresult,wehaveλn,λ1⊆qSn-1

03

Determining the Result:

qSn-1=λn,λ

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