Consider the system of linear differential equations: X = AX. (i) Suppose is an eigen value of A of multiplicity k > 1. Define a root vector corresponding to the eigen value \. (ii) Show that each eigen value \ of A of multiplicity k has k linearly independent root vectors. (iii) Suppose that A is an eigen value of A of multiplicity k and Uλ,1, Ux‚2, ……., Ux,k are root vectors corresponding to λ of orders 1, 2, k, respectively. Further, let: ...9 2! Xi(t) = e¼ [Ux,i + tŪλ,i−1 + U\‚i−2 + …... Show that X1(t), X2(t), . . ., Xk(t) {X₁(t), X2(t),...,x(t)} ti-1 (i − 1)! - ¡Uλ,1], for i = 1, 2, … . . k. is a set of linearly independent solutions of the system of linear differential equations and every solution of the system is a linear combination of the solutions in this set.
Consider the system of linear differential equations: X = AX. (i) Suppose is an eigen value of A of multiplicity k > 1. Define a root vector corresponding to the eigen value \. (ii) Show that each eigen value \ of A of multiplicity k has k linearly independent root vectors. (iii) Suppose that A is an eigen value of A of multiplicity k and Uλ,1, Ux‚2, ……., Ux,k are root vectors corresponding to λ of orders 1, 2, k, respectively. Further, let: ...9 2! Xi(t) = e¼ [Ux,i + tŪλ,i−1 + U\‚i−2 + …... Show that X1(t), X2(t), . . ., Xk(t) {X₁(t), X2(t),...,x(t)} ti-1 (i − 1)! - ¡Uλ,1], for i = 1, 2, … . . k. is a set of linearly independent solutions of the system of linear differential equations and every solution of the system is a linear combination of the solutions in this set.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Related questions
Question
![Consider the system of linear differential equations:
X = AX.
(i) Suppose is an eigen value of A of multiplicity k > 1. Define a root vector corresponding to
the eigen value \.
(ii) Show that each eigen value \ of A of multiplicity k has k linearly independent root vectors.
(iii) Suppose that A is an eigen value of A of multiplicity k and Uλ,1, Ux‚2, ……., Ux,k are root vectors
corresponding to λ of orders 1, 2, k, respectively. Further, let:
...9
2!
Xi(t) = e¼ [Ux,i + tŪλ,i−1 + U\‚i−2 + …...
Show that X1(t), X2(t), . . ., Xk(t)
{X₁(t), X2(t),...,x(t)}
ti-1
(i − 1)!
-
¡Uλ,1], for i = 1, 2, … . . k.
is a set of linearly independent solutions of the system
of linear differential equations and every solution of the system is a linear combination of the
solutions in this set.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1dc6cf95-b131-44cb-bec5-e5cfc8b95147%2F879ac001-f9da-43c6-b3de-4e2fd13677c9%2Fljkk4z2p_processed.png&w=3840&q=75)
Transcribed Image Text:Consider the system of linear differential equations:
X = AX.
(i) Suppose is an eigen value of A of multiplicity k > 1. Define a root vector corresponding to
the eigen value \.
(ii) Show that each eigen value \ of A of multiplicity k has k linearly independent root vectors.
(iii) Suppose that A is an eigen value of A of multiplicity k and Uλ,1, Ux‚2, ……., Ux,k are root vectors
corresponding to λ of orders 1, 2, k, respectively. Further, let:
...9
2!
Xi(t) = e¼ [Ux,i + tŪλ,i−1 + U\‚i−2 + …...
Show that X1(t), X2(t), . . ., Xk(t)
{X₁(t), X2(t),...,x(t)}
ti-1
(i − 1)!
-
¡Uλ,1], for i = 1, 2, … . . k.
is a set of linearly independent solutions of the system
of linear differential equations and every solution of the system is a linear combination of the
solutions in this set.
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