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The eigen values of a 2X2 matrix A are -5 and 2. The eigen vectors corresponding to eigen value -5 is and G) eigen vector corresponding to eigen value 2 is Find the matrix A.

The eigen values of a 2X2 matrix A are -5 and 2. The eigen vectors corresponding to eigen value -5 is and G) eigen vector corresponding to eigen value 2 is Find the matrix A.

Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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The characteristic equation of a system is 4s4 + 8s3 + 2s2 + 6. 10s + 3 = 0. Determine the stability of the system. The eigen values of a 2X2 matrix A are –5 and 2. The eigen vectors corresponding to eigen value -5 is 7. eigen vector corresponding to eigen value 2 is (). Find and the matrix A. If a, B,y be the roots of the equation x3 – 2x2 + 3x – 5 = 0, form the equation whose roots are By +=, - 1 8. ya +, aß + a B' 1 Constriuct the fourth degree eguation whose roots are 21i
Transcribed Image Text:The characteristic equation of a system is 4s4 + 8s3 + 2s2 + 6. 10s + 3 = 0. Determine the stability of the system. The eigen values of a 2X2 matrix A are –5 and 2. The eigen vectors corresponding to eigen value -5 is 7. eigen vector corresponding to eigen value 2 is (). Find and the matrix A. If a, B,y be the roots of the equation x3 – 2x2 + 3x – 5 = 0, form the equation whose roots are By +=, - 1 8. ya +, aß + a B' 1 Constriuct the fourth degree eguation whose roots are 21i
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