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Review for final Chapter 3&4 By B zhou [https://kiwi.ecn.purdue.edu/rhea/index.php/Chpater3%264_MA351Spring2011]  
 
Review for final Chapter 3&4 By B zhou [https://kiwi.ecn.purdue.edu/rhea/index.php/Chpater3%264_MA351Spring2011]  
  
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Various exercises from Chapters 6 &amp; 7&nbsp;[[Final review|Final Review Chs. 6&nbsp;&amp; 7 (MA351Spring2011)]]  
Various exercises from Chapters 6 &amp; 7 [[review for Final|Final Review Chs. 6 &amp; 7 (MA351 Spring 2011)]]
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Revision as of 09:23, 5 May 2011

Can anyone please help me in the question no. 25 of exercise 7.3? I am having a lot of trouble in comprehending how to calculate the multiplicity.

The geometric multiplicity of a matrix is directly related to the no. of independent eigenvectors in the eigen basis. Since, the no. of independent vectors is 3 (column wise), therefore, the geometric multiplicity is 3.

Can anyone please explain me how to go about solving Q. 14 Exercise 7.3 ? i guess i'm probably making a mistake somewhere in my calculations ...

Hello, I am getting the lambda values to be 0,0,1 for the question. The determinant value becomes 0 =-(lambda)^3+ 2(labmda)^2 - labmda.Now it should be pretty straight forward to find out the corresponding eigen-vectors.


Hey friends, like geometric multiplicity of an eigenvalue is related to the nullity of the matrix (A- λIn), is there a way to relate algebraic multiplicity on similar terms ?

Yea.I meant orthogonal.sorry. Thank you though for the answer.




Review for final Chapter 1 &2 by B Zhou [1]


Review for final Chapter 3&4 By B zhou [2]


Various exercises from Chapters 6 & 7 Final Review Chs. 6 & 7 (MA351Spring2011)


Hey.Can anyone please explain me the 20th question of exercise 7.1. I am not able to understand how to interpret the question. Thanks

I believe that there would be no eigenvalue corresponding to the rotation in about e3 in R3 ! However, I would recommend asking the question to Prof. Kummini in this regard !

Hey I think the eigenvalue would be 1 since any vector on the axis spanned by e3 would be an eigen vector !

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BSEE 2004, current Ph.D. student researching signal and image processing.

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