What exactly is a defective nodal source
Clash Royale CLAN TAG#URR8PPP
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I attain repeated root eigenvalue of $-1$ with eigenvector $beginpmatrix2\1endpmatrix$
However, I'm uncertain if the general solution would be $c_1cdot e^-tbeginpmatrix2\1endpmatrix$ alone, or would it be $c_1cdot e^-tbeginpmatrix2\1endpmatrix + c_2cdot tcdot e^-tbeginpmatrix2\1endpmatrix$.
Likewise, when I plot the phase portriat in software, I receive an alert claiming that the phase protriat is a defective nodal source. What is that exactly?
differential-equations eigenvalues-eigenvectors homogeneous-equation
 |Â
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up vote
0
down vote
favorite
I attain repeated root eigenvalue of $-1$ with eigenvector $beginpmatrix2\1endpmatrix$
However, I'm uncertain if the general solution would be $c_1cdot e^-tbeginpmatrix2\1endpmatrix$ alone, or would it be $c_1cdot e^-tbeginpmatrix2\1endpmatrix + c_2cdot tcdot e^-tbeginpmatrix2\1endpmatrix$.
Likewise, when I plot the phase portriat in software, I receive an alert claiming that the phase protriat is a defective nodal source. What is that exactly?
differential-equations eigenvalues-eigenvectors homogeneous-equation
Your second attempt should be the right hence a general solution never consists only of one term. But I guess you need to rework the second eigenvector.
â mrtaurho
Jul 22 at 15:15
so I got my general solution as e^t(c1*(2;1)+c2(t(2;1)+(-4,0)). However, how can I solve this IVP with just one initial conditions and two arbitrary constants?
â SleepApnea
Jul 22 at 15:24
so I finalized my general solution to be e^t(c1(2,1)+c2(t(2,1)+(-4,0)) However, I do not understand how to solve the IVP with two constants unknown, and only one condition.
â SleepApnea
Jul 22 at 15:27
Since you are working on a system of differential equations there is no problem in calculating the constants. Just set the general solution equal to the IVP and split it up in two equations : now you got a linear system of two equations and two variables.
â mrtaurho
Jul 22 at 15:33
is my general solution correct to add the additional (-4,0) at the tail end of the problem?
â SleepApnea
Jul 22 at 15:35
 |Â
show 2 more comments
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I attain repeated root eigenvalue of $-1$ with eigenvector $beginpmatrix2\1endpmatrix$
However, I'm uncertain if the general solution would be $c_1cdot e^-tbeginpmatrix2\1endpmatrix$ alone, or would it be $c_1cdot e^-tbeginpmatrix2\1endpmatrix + c_2cdot tcdot e^-tbeginpmatrix2\1endpmatrix$.
Likewise, when I plot the phase portriat in software, I receive an alert claiming that the phase protriat is a defective nodal source. What is that exactly?
differential-equations eigenvalues-eigenvectors homogeneous-equation
I attain repeated root eigenvalue of $-1$ with eigenvector $beginpmatrix2\1endpmatrix$
However, I'm uncertain if the general solution would be $c_1cdot e^-tbeginpmatrix2\1endpmatrix$ alone, or would it be $c_1cdot e^-tbeginpmatrix2\1endpmatrix + c_2cdot tcdot e^-tbeginpmatrix2\1endpmatrix$.
Likewise, when I plot the phase portriat in software, I receive an alert claiming that the phase protriat is a defective nodal source. What is that exactly?
differential-equations eigenvalues-eigenvectors homogeneous-equation
edited Jul 22 at 15:12
mrtaurho
740219
740219
asked Jul 22 at 15:00
SleepApnea
426
426
Your second attempt should be the right hence a general solution never consists only of one term. But I guess you need to rework the second eigenvector.
â mrtaurho
Jul 22 at 15:15
so I got my general solution as e^t(c1*(2;1)+c2(t(2;1)+(-4,0)). However, how can I solve this IVP with just one initial conditions and two arbitrary constants?
â SleepApnea
Jul 22 at 15:24
so I finalized my general solution to be e^t(c1(2,1)+c2(t(2,1)+(-4,0)) However, I do not understand how to solve the IVP with two constants unknown, and only one condition.
â SleepApnea
Jul 22 at 15:27
Since you are working on a system of differential equations there is no problem in calculating the constants. Just set the general solution equal to the IVP and split it up in two equations : now you got a linear system of two equations and two variables.
â mrtaurho
Jul 22 at 15:33
is my general solution correct to add the additional (-4,0) at the tail end of the problem?
â SleepApnea
Jul 22 at 15:35
 |Â
show 2 more comments
Your second attempt should be the right hence a general solution never consists only of one term. But I guess you need to rework the second eigenvector.
â mrtaurho
Jul 22 at 15:15
so I got my general solution as e^t(c1*(2;1)+c2(t(2;1)+(-4,0)). However, how can I solve this IVP with just one initial conditions and two arbitrary constants?
â SleepApnea
Jul 22 at 15:24
so I finalized my general solution to be e^t(c1(2,1)+c2(t(2,1)+(-4,0)) However, I do not understand how to solve the IVP with two constants unknown, and only one condition.
â SleepApnea
Jul 22 at 15:27
Since you are working on a system of differential equations there is no problem in calculating the constants. Just set the general solution equal to the IVP and split it up in two equations : now you got a linear system of two equations and two variables.
â mrtaurho
Jul 22 at 15:33
is my general solution correct to add the additional (-4,0) at the tail end of the problem?
â SleepApnea
Jul 22 at 15:35
Your second attempt should be the right hence a general solution never consists only of one term. But I guess you need to rework the second eigenvector.
â mrtaurho
Jul 22 at 15:15
Your second attempt should be the right hence a general solution never consists only of one term. But I guess you need to rework the second eigenvector.
â mrtaurho
Jul 22 at 15:15
so I got my general solution as e^t(c1*(2;1)+c2(t(2;1)+(-4,0)). However, how can I solve this IVP with just one initial conditions and two arbitrary constants?
â SleepApnea
Jul 22 at 15:24
so I got my general solution as e^t(c1*(2;1)+c2(t(2;1)+(-4,0)). However, how can I solve this IVP with just one initial conditions and two arbitrary constants?
â SleepApnea
Jul 22 at 15:24
so I finalized my general solution to be e^t(c1(2,1)+c2(t(2,1)+(-4,0)) However, I do not understand how to solve the IVP with two constants unknown, and only one condition.
â SleepApnea
Jul 22 at 15:27
so I finalized my general solution to be e^t(c1(2,1)+c2(t(2,1)+(-4,0)) However, I do not understand how to solve the IVP with two constants unknown, and only one condition.
â SleepApnea
Jul 22 at 15:27
Since you are working on a system of differential equations there is no problem in calculating the constants. Just set the general solution equal to the IVP and split it up in two equations : now you got a linear system of two equations and two variables.
â mrtaurho
Jul 22 at 15:33
Since you are working on a system of differential equations there is no problem in calculating the constants. Just set the general solution equal to the IVP and split it up in two equations : now you got a linear system of two equations and two variables.
â mrtaurho
Jul 22 at 15:33
is my general solution correct to add the additional (-4,0) at the tail end of the problem?
â SleepApnea
Jul 22 at 15:35
is my general solution correct to add the additional (-4,0) at the tail end of the problem?
â SleepApnea
Jul 22 at 15:35
 |Â
show 2 more comments
1 Answer
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In the case of repeated real roots you need to calculate a different second eigenvector which satisfies the equation
$$beginpmatrixa-lambda & b\c & d-lambdaendpmatrixbeginpmatrixrho_1\rho_2endpmatrix~=~beginpmatrixeta_1\eta_2endpmatrix$$
where $beginpmatrixeta_1\eta_2endpmatrix$ is the first eigenvector and $lambda$ is the eigenvalue of the matrix. From there on you can conclude to the general solution of the form
$$vecx~=~c_1cdot e^lambda tveceta+c_2(tcdot e^lambda tveceta+e^lambda tvecrho)$$
The eigenvalues of the given systems are the repeated real roots $lambda_1,2=-1$. From there one you get the first eigenvector $beginpmatrix2\1endpmatrix$ as you already did. Now just calculate the second eigenvector and you are done.
based on my general solution: e^t(c1(2,1)+c2(t(2,1)+(-4,0)). Then if we use the IVP and plug in t = 0, I get (1,1) = c1(2,1) + c2(-4,0). I don't really understand how to isolate C1 and C2.
â SleepApnea
Jul 22 at 15:36
Just cosider it as a system of the two equations $1=c_1-4c_2$ and $1=-4c_1$
â mrtaurho
Jul 22 at 15:44
Based on the phase portrait of this particular case, can I argue that when t either moves to infinity or negative infinity, the phase portrait is moving tangentially inwards towards the origin.
â SleepApnea
Jul 22 at 16:54
Could you maybe link the phase potrait somewhere?
â mrtaurho
Jul 22 at 16:58
ibb.co/cDCyby This is the phase portrait.
â SleepApnea
Jul 22 at 17:30
 |Â
show 2 more comments
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
accepted
In the case of repeated real roots you need to calculate a different second eigenvector which satisfies the equation
$$beginpmatrixa-lambda & b\c & d-lambdaendpmatrixbeginpmatrixrho_1\rho_2endpmatrix~=~beginpmatrixeta_1\eta_2endpmatrix$$
where $beginpmatrixeta_1\eta_2endpmatrix$ is the first eigenvector and $lambda$ is the eigenvalue of the matrix. From there on you can conclude to the general solution of the form
$$vecx~=~c_1cdot e^lambda tveceta+c_2(tcdot e^lambda tveceta+e^lambda tvecrho)$$
The eigenvalues of the given systems are the repeated real roots $lambda_1,2=-1$. From there one you get the first eigenvector $beginpmatrix2\1endpmatrix$ as you already did. Now just calculate the second eigenvector and you are done.
based on my general solution: e^t(c1(2,1)+c2(t(2,1)+(-4,0)). Then if we use the IVP and plug in t = 0, I get (1,1) = c1(2,1) + c2(-4,0). I don't really understand how to isolate C1 and C2.
â SleepApnea
Jul 22 at 15:36
Just cosider it as a system of the two equations $1=c_1-4c_2$ and $1=-4c_1$
â mrtaurho
Jul 22 at 15:44
Based on the phase portrait of this particular case, can I argue that when t either moves to infinity or negative infinity, the phase portrait is moving tangentially inwards towards the origin.
â SleepApnea
Jul 22 at 16:54
Could you maybe link the phase potrait somewhere?
â mrtaurho
Jul 22 at 16:58
ibb.co/cDCyby This is the phase portrait.
â SleepApnea
Jul 22 at 17:30
 |Â
show 2 more comments
up vote
0
down vote
accepted
In the case of repeated real roots you need to calculate a different second eigenvector which satisfies the equation
$$beginpmatrixa-lambda & b\c & d-lambdaendpmatrixbeginpmatrixrho_1\rho_2endpmatrix~=~beginpmatrixeta_1\eta_2endpmatrix$$
where $beginpmatrixeta_1\eta_2endpmatrix$ is the first eigenvector and $lambda$ is the eigenvalue of the matrix. From there on you can conclude to the general solution of the form
$$vecx~=~c_1cdot e^lambda tveceta+c_2(tcdot e^lambda tveceta+e^lambda tvecrho)$$
The eigenvalues of the given systems are the repeated real roots $lambda_1,2=-1$. From there one you get the first eigenvector $beginpmatrix2\1endpmatrix$ as you already did. Now just calculate the second eigenvector and you are done.
based on my general solution: e^t(c1(2,1)+c2(t(2,1)+(-4,0)). Then if we use the IVP and plug in t = 0, I get (1,1) = c1(2,1) + c2(-4,0). I don't really understand how to isolate C1 and C2.
â SleepApnea
Jul 22 at 15:36
Just cosider it as a system of the two equations $1=c_1-4c_2$ and $1=-4c_1$
â mrtaurho
Jul 22 at 15:44
Based on the phase portrait of this particular case, can I argue that when t either moves to infinity or negative infinity, the phase portrait is moving tangentially inwards towards the origin.
â SleepApnea
Jul 22 at 16:54
Could you maybe link the phase potrait somewhere?
â mrtaurho
Jul 22 at 16:58
ibb.co/cDCyby This is the phase portrait.
â SleepApnea
Jul 22 at 17:30
 |Â
show 2 more comments
up vote
0
down vote
accepted
up vote
0
down vote
accepted
In the case of repeated real roots you need to calculate a different second eigenvector which satisfies the equation
$$beginpmatrixa-lambda & b\c & d-lambdaendpmatrixbeginpmatrixrho_1\rho_2endpmatrix~=~beginpmatrixeta_1\eta_2endpmatrix$$
where $beginpmatrixeta_1\eta_2endpmatrix$ is the first eigenvector and $lambda$ is the eigenvalue of the matrix. From there on you can conclude to the general solution of the form
$$vecx~=~c_1cdot e^lambda tveceta+c_2(tcdot e^lambda tveceta+e^lambda tvecrho)$$
The eigenvalues of the given systems are the repeated real roots $lambda_1,2=-1$. From there one you get the first eigenvector $beginpmatrix2\1endpmatrix$ as you already did. Now just calculate the second eigenvector and you are done.
In the case of repeated real roots you need to calculate a different second eigenvector which satisfies the equation
$$beginpmatrixa-lambda & b\c & d-lambdaendpmatrixbeginpmatrixrho_1\rho_2endpmatrix~=~beginpmatrixeta_1\eta_2endpmatrix$$
where $beginpmatrixeta_1\eta_2endpmatrix$ is the first eigenvector and $lambda$ is the eigenvalue of the matrix. From there on you can conclude to the general solution of the form
$$vecx~=~c_1cdot e^lambda tveceta+c_2(tcdot e^lambda tveceta+e^lambda tvecrho)$$
The eigenvalues of the given systems are the repeated real roots $lambda_1,2=-1$. From there one you get the first eigenvector $beginpmatrix2\1endpmatrix$ as you already did. Now just calculate the second eigenvector and you are done.
edited Jul 22 at 15:49
answered Jul 22 at 15:30
mrtaurho
740219
740219
based on my general solution: e^t(c1(2,1)+c2(t(2,1)+(-4,0)). Then if we use the IVP and plug in t = 0, I get (1,1) = c1(2,1) + c2(-4,0). I don't really understand how to isolate C1 and C2.
â SleepApnea
Jul 22 at 15:36
Just cosider it as a system of the two equations $1=c_1-4c_2$ and $1=-4c_1$
â mrtaurho
Jul 22 at 15:44
Based on the phase portrait of this particular case, can I argue that when t either moves to infinity or negative infinity, the phase portrait is moving tangentially inwards towards the origin.
â SleepApnea
Jul 22 at 16:54
Could you maybe link the phase potrait somewhere?
â mrtaurho
Jul 22 at 16:58
ibb.co/cDCyby This is the phase portrait.
â SleepApnea
Jul 22 at 17:30
 |Â
show 2 more comments
based on my general solution: e^t(c1(2,1)+c2(t(2,1)+(-4,0)). Then if we use the IVP and plug in t = 0, I get (1,1) = c1(2,1) + c2(-4,0). I don't really understand how to isolate C1 and C2.
â SleepApnea
Jul 22 at 15:36
Just cosider it as a system of the two equations $1=c_1-4c_2$ and $1=-4c_1$
â mrtaurho
Jul 22 at 15:44
Based on the phase portrait of this particular case, can I argue that when t either moves to infinity or negative infinity, the phase portrait is moving tangentially inwards towards the origin.
â SleepApnea
Jul 22 at 16:54
Could you maybe link the phase potrait somewhere?
â mrtaurho
Jul 22 at 16:58
ibb.co/cDCyby This is the phase portrait.
â SleepApnea
Jul 22 at 17:30
based on my general solution: e^t(c1(2,1)+c2(t(2,1)+(-4,0)). Then if we use the IVP and plug in t = 0, I get (1,1) = c1(2,1) + c2(-4,0). I don't really understand how to isolate C1 and C2.
â SleepApnea
Jul 22 at 15:36
based on my general solution: e^t(c1(2,1)+c2(t(2,1)+(-4,0)). Then if we use the IVP and plug in t = 0, I get (1,1) = c1(2,1) + c2(-4,0). I don't really understand how to isolate C1 and C2.
â SleepApnea
Jul 22 at 15:36
Just cosider it as a system of the two equations $1=c_1-4c_2$ and $1=-4c_1$
â mrtaurho
Jul 22 at 15:44
Just cosider it as a system of the two equations $1=c_1-4c_2$ and $1=-4c_1$
â mrtaurho
Jul 22 at 15:44
Based on the phase portrait of this particular case, can I argue that when t either moves to infinity or negative infinity, the phase portrait is moving tangentially inwards towards the origin.
â SleepApnea
Jul 22 at 16:54
Based on the phase portrait of this particular case, can I argue that when t either moves to infinity or negative infinity, the phase portrait is moving tangentially inwards towards the origin.
â SleepApnea
Jul 22 at 16:54
Could you maybe link the phase potrait somewhere?
â mrtaurho
Jul 22 at 16:58
Could you maybe link the phase potrait somewhere?
â mrtaurho
Jul 22 at 16:58
ibb.co/cDCyby This is the phase portrait.
â SleepApnea
Jul 22 at 17:30
ibb.co/cDCyby This is the phase portrait.
â SleepApnea
Jul 22 at 17:30
 |Â
show 2 more comments
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Your second attempt should be the right hence a general solution never consists only of one term. But I guess you need to rework the second eigenvector.
â mrtaurho
Jul 22 at 15:15
so I got my general solution as e^t(c1*(2;1)+c2(t(2;1)+(-4,0)). However, how can I solve this IVP with just one initial conditions and two arbitrary constants?
â SleepApnea
Jul 22 at 15:24
so I finalized my general solution to be e^t(c1(2,1)+c2(t(2,1)+(-4,0)) However, I do not understand how to solve the IVP with two constants unknown, and only one condition.
â SleepApnea
Jul 22 at 15:27
Since you are working on a system of differential equations there is no problem in calculating the constants. Just set the general solution equal to the IVP and split it up in two equations : now you got a linear system of two equations and two variables.
â mrtaurho
Jul 22 at 15:33
is my general solution correct to add the additional (-4,0) at the tail end of the problem?
â SleepApnea
Jul 22 at 15:35