Line 21: Line 21:
 
I am also having difficulty with P356 #29 & 30.  I have found the Eigen values and Eigen vectors, placed the Eigenvectors into matrix, and solved teh diagonal matrix.  I don't know where to go from here???  Any help??
 
I am also having difficulty with P356 #29 & 30.  I have found the Eigen values and Eigen vectors, placed the Eigenvectors into matrix, and solved teh diagonal matrix.  I don't know where to go from here???  Any help??
  
 
4.3, Problem 3:  Can you explain the answer in the back of the book.  It appears from the answer that there are Eigenvalues of 2, but I don't see how there can be Eigenvalues of 2 from this set of ODE.
 
 
[[2010 MA 527 Bell|Back to the MA 527 start page]]  
 
[[2010 MA 527 Bell|Back to the MA 527 start page]]  
  

Revision as of 14:35, 18 September 2010

Homework 4 work area

Collaborate on HWK 4 here.

Section 8.4 #29 Does anybody have any thoughts about the solution to the second part of number 29 and the proof for #30? For the positive definite case and negative definite case, finding the determinate seems sufficient. I'm not sure how to show the indefinite case.

(rekblad 9/18) for #29 part 2 showing Q is indefinite, isn't it enough to just find two vectors that show Q > 0 and Q < 0 and also show that Q!=0 for x!=0 ? (Actually, on second thought, I think Q indefinite => Q may = 0 for some x!=0)

Problem 18 on page 146 Do I have the time rate of change equations correct:

Y1' = 48/100Y1 + 16/400Y2 - 64/100Y1 Y2' = 64/100Y1 - 64/100Y2

I am not sure on the 48/100Y1 portion of equation 1.

Need help with P356 #29 and 30. This is my understanding of #29-> Positive definiteness of Prob23: [x1 x2]^T * [4 Sqrt(3), Sqrt(3) 2] * [x1 x2] >0 for all X(vector) not equal to 0(vector). So, 4 > 0, and the det([4 Sqrt(3), Sqrt(3) 2]) >0. Therefore, it is positive definite. And for Prob19: [x1 x2]^T * [1 12, 12 -6] * [x1 x2], 1 > 0 and det ([1 12, 12 -6]) < 0. Therefore, it it indefinite.

I am also having difficulty with P356 #29 & 30. I have found the Eigen values and Eigen vectors, placed the Eigenvectors into matrix, and solved teh diagonal matrix. I don't know where to go from here??? Any help??

Back to the MA 527 start page

To Rhea Course List

Alumni Liaison

Basic linear algebra uncovers and clarifies very important geometry and algebra.

Dr. Paul Garrett