Suppose A is a square matrix and v is an eigenvector of A with associated eigenvalue 23. If x is a real...












1














Suppose A is a square matrix and v is an eigenvector of A with associated eigenvalue 23. If x is a real number, compute A(xv) in terms of x and v.



A(xv) = (?)



Not sure where to go with this question, is there a rule or condition that I am missing?



So far I thought it would be something using the following;



det(A - xI) = 0 and Ax = vx and solving for A but any simplification using these ideas have been wrong so far. Any suggestions?










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  • 2




    It is only a matter of really understanding the basic definitions to conclude that $$A(xv)=xAv=xcdot23 v=23xv$$
    – DonAntonio
    Nov 20 '18 at 0:54










  • I mistakenly thought x=23. Thank you!
    – S. Snake
    Nov 20 '18 at 0:55
















1














Suppose A is a square matrix and v is an eigenvector of A with associated eigenvalue 23. If x is a real number, compute A(xv) in terms of x and v.



A(xv) = (?)



Not sure where to go with this question, is there a rule or condition that I am missing?



So far I thought it would be something using the following;



det(A - xI) = 0 and Ax = vx and solving for A but any simplification using these ideas have been wrong so far. Any suggestions?










share|cite|improve this question


















  • 2




    It is only a matter of really understanding the basic definitions to conclude that $$A(xv)=xAv=xcdot23 v=23xv$$
    – DonAntonio
    Nov 20 '18 at 0:54










  • I mistakenly thought x=23. Thank you!
    – S. Snake
    Nov 20 '18 at 0:55














1












1








1







Suppose A is a square matrix and v is an eigenvector of A with associated eigenvalue 23. If x is a real number, compute A(xv) in terms of x and v.



A(xv) = (?)



Not sure where to go with this question, is there a rule or condition that I am missing?



So far I thought it would be something using the following;



det(A - xI) = 0 and Ax = vx and solving for A but any simplification using these ideas have been wrong so far. Any suggestions?










share|cite|improve this question













Suppose A is a square matrix and v is an eigenvector of A with associated eigenvalue 23. If x is a real number, compute A(xv) in terms of x and v.



A(xv) = (?)



Not sure where to go with this question, is there a rule or condition that I am missing?



So far I thought it would be something using the following;



det(A - xI) = 0 and Ax = vx and solving for A but any simplification using these ideas have been wrong so far. Any suggestions?







linear-algebra matrices eigenvalues-eigenvectors vectors






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share|cite|improve this question











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share|cite|improve this question










asked Nov 20 '18 at 0:52









S. Snake

485




485








  • 2




    It is only a matter of really understanding the basic definitions to conclude that $$A(xv)=xAv=xcdot23 v=23xv$$
    – DonAntonio
    Nov 20 '18 at 0:54










  • I mistakenly thought x=23. Thank you!
    – S. Snake
    Nov 20 '18 at 0:55














  • 2




    It is only a matter of really understanding the basic definitions to conclude that $$A(xv)=xAv=xcdot23 v=23xv$$
    – DonAntonio
    Nov 20 '18 at 0:54










  • I mistakenly thought x=23. Thank you!
    – S. Snake
    Nov 20 '18 at 0:55








2




2




It is only a matter of really understanding the basic definitions to conclude that $$A(xv)=xAv=xcdot23 v=23xv$$
– DonAntonio
Nov 20 '18 at 0:54




It is only a matter of really understanding the basic definitions to conclude that $$A(xv)=xAv=xcdot23 v=23xv$$
– DonAntonio
Nov 20 '18 at 0:54












I mistakenly thought x=23. Thank you!
– S. Snake
Nov 20 '18 at 0:55




I mistakenly thought x=23. Thank you!
– S. Snake
Nov 20 '18 at 0:55










1 Answer
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If $v$ is an eigenvector with eigenvalue $23$, this means $Av=23v$. So for any real number $x$, we have



$$A(xv)=xAv=xcdot23 v=23(xv).$$






share|cite|improve this answer























  • This answer is essentially just repeating DonAntonio's comment, and exists primarily to remove this question from the Unanswered queue. Please upvote or choose as Best Answer to complete this process.
    – aleph_two
    yesterday











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1 Answer
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1 Answer
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active

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active

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active

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0














If $v$ is an eigenvector with eigenvalue $23$, this means $Av=23v$. So for any real number $x$, we have



$$A(xv)=xAv=xcdot23 v=23(xv).$$






share|cite|improve this answer























  • This answer is essentially just repeating DonAntonio's comment, and exists primarily to remove this question from the Unanswered queue. Please upvote or choose as Best Answer to complete this process.
    – aleph_two
    yesterday
















0














If $v$ is an eigenvector with eigenvalue $23$, this means $Av=23v$. So for any real number $x$, we have



$$A(xv)=xAv=xcdot23 v=23(xv).$$






share|cite|improve this answer























  • This answer is essentially just repeating DonAntonio's comment, and exists primarily to remove this question from the Unanswered queue. Please upvote or choose as Best Answer to complete this process.
    – aleph_two
    yesterday














0












0








0






If $v$ is an eigenvector with eigenvalue $23$, this means $Av=23v$. So for any real number $x$, we have



$$A(xv)=xAv=xcdot23 v=23(xv).$$






share|cite|improve this answer














If $v$ is an eigenvector with eigenvalue $23$, this means $Av=23v$. So for any real number $x$, we have



$$A(xv)=xAv=xcdot23 v=23(xv).$$







share|cite|improve this answer














share|cite|improve this answer



share|cite|improve this answer








answered yesterday


























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aleph_two













  • This answer is essentially just repeating DonAntonio's comment, and exists primarily to remove this question from the Unanswered queue. Please upvote or choose as Best Answer to complete this process.
    – aleph_two
    yesterday


















  • This answer is essentially just repeating DonAntonio's comment, and exists primarily to remove this question from the Unanswered queue. Please upvote or choose as Best Answer to complete this process.
    – aleph_two
    yesterday
















This answer is essentially just repeating DonAntonio's comment, and exists primarily to remove this question from the Unanswered queue. Please upvote or choose as Best Answer to complete this process.
– aleph_two
yesterday




This answer is essentially just repeating DonAntonio's comment, and exists primarily to remove this question from the Unanswered queue. Please upvote or choose as Best Answer to complete this process.
– aleph_two
yesterday


















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