Show that $0$ has multiplicity $3$ in $M-4I$?

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Question from an exam:



Consider the matrix $M=$



beginbmatrix 5&1&1&1&1&1\1&5&1&1&1&1\1&1&5&1&1&1\1&1&1&4&1&0\1&1&1&1&4&0\1&1&1&0&0&3endbmatrix




Show that $4$ is an eigen value of the above matrix with multiplicity $3$.




I considered $M-4I$ from which I got



beginbmatrix 1&1&1&1&1&1\1&1&1&1&1&1\1&1&1&1&1&1\1&1&1&0&1&0\1&1&1&1&0&0\1&1&1&0&0&-1endbmatrix



By elementary row operations:
$$M-4I=$$
beginbmatrix 1&1&1&1&1&1\0&0&0&0&0&0\0&0&0&0&0&0\1&1&1&0&1&0\1&1&1&1&0&0\1&1&1&0&0&-1endbmatrix



So $0$ is an eigen value with multiplicity at least $2$ since $M-2I$ has two zero rows.




How to show that $0$ has multiplicity $3$ in $M-4I$?




If one can show how to proceed after this,I will be really grateful.



Please help







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  • You esssentially need to find the column space of the matrix $M - 4I$ i.e. what is the dimension of the vector space which is spanned by the columns of the matrix $M - 4I$. Look at the columns of $M-4I$, and try to see why the dimension is $3$. You have two rows of zeros, which is very good, but you can go one dimension better. The below answers will serve as hints. Now, by the rank nullity theorem, the kernel dimension is the space dimension minus the rank, which is $6 - 3 = 3$.
    – Ð°ÑÑ‚он вілла олоф мэллбэрг
    Aug 29 at 6:47















up vote
1
down vote

favorite












Question from an exam:



Consider the matrix $M=$



beginbmatrix 5&1&1&1&1&1\1&5&1&1&1&1\1&1&5&1&1&1\1&1&1&4&1&0\1&1&1&1&4&0\1&1&1&0&0&3endbmatrix




Show that $4$ is an eigen value of the above matrix with multiplicity $3$.




I considered $M-4I$ from which I got



beginbmatrix 1&1&1&1&1&1\1&1&1&1&1&1\1&1&1&1&1&1\1&1&1&0&1&0\1&1&1&1&0&0\1&1&1&0&0&-1endbmatrix



By elementary row operations:
$$M-4I=$$
beginbmatrix 1&1&1&1&1&1\0&0&0&0&0&0\0&0&0&0&0&0\1&1&1&0&1&0\1&1&1&1&0&0\1&1&1&0&0&-1endbmatrix



So $0$ is an eigen value with multiplicity at least $2$ since $M-2I$ has two zero rows.




How to show that $0$ has multiplicity $3$ in $M-4I$?




If one can show how to proceed after this,I will be really grateful.



Please help







share|cite|improve this question






















  • You esssentially need to find the column space of the matrix $M - 4I$ i.e. what is the dimension of the vector space which is spanned by the columns of the matrix $M - 4I$. Look at the columns of $M-4I$, and try to see why the dimension is $3$. You have two rows of zeros, which is very good, but you can go one dimension better. The below answers will serve as hints. Now, by the rank nullity theorem, the kernel dimension is the space dimension minus the rank, which is $6 - 3 = 3$.
    – Ð°ÑÑ‚он вілла олоф мэллбэрг
    Aug 29 at 6:47













up vote
1
down vote

favorite









up vote
1
down vote

favorite











Question from an exam:



Consider the matrix $M=$



beginbmatrix 5&1&1&1&1&1\1&5&1&1&1&1\1&1&5&1&1&1\1&1&1&4&1&0\1&1&1&1&4&0\1&1&1&0&0&3endbmatrix




Show that $4$ is an eigen value of the above matrix with multiplicity $3$.




I considered $M-4I$ from which I got



beginbmatrix 1&1&1&1&1&1\1&1&1&1&1&1\1&1&1&1&1&1\1&1&1&0&1&0\1&1&1&1&0&0\1&1&1&0&0&-1endbmatrix



By elementary row operations:
$$M-4I=$$
beginbmatrix 1&1&1&1&1&1\0&0&0&0&0&0\0&0&0&0&0&0\1&1&1&0&1&0\1&1&1&1&0&0\1&1&1&0&0&-1endbmatrix



So $0$ is an eigen value with multiplicity at least $2$ since $M-2I$ has two zero rows.




How to show that $0$ has multiplicity $3$ in $M-4I$?




If one can show how to proceed after this,I will be really grateful.



Please help







share|cite|improve this question














Question from an exam:



Consider the matrix $M=$



beginbmatrix 5&1&1&1&1&1\1&5&1&1&1&1\1&1&5&1&1&1\1&1&1&4&1&0\1&1&1&1&4&0\1&1&1&0&0&3endbmatrix




Show that $4$ is an eigen value of the above matrix with multiplicity $3$.




I considered $M-4I$ from which I got



beginbmatrix 1&1&1&1&1&1\1&1&1&1&1&1\1&1&1&1&1&1\1&1&1&0&1&0\1&1&1&1&0&0\1&1&1&0&0&-1endbmatrix



By elementary row operations:
$$M-4I=$$
beginbmatrix 1&1&1&1&1&1\0&0&0&0&0&0\0&0&0&0&0&0\1&1&1&0&1&0\1&1&1&1&0&0\1&1&1&0&0&-1endbmatrix



So $0$ is an eigen value with multiplicity at least $2$ since $M-2I$ has two zero rows.




How to show that $0$ has multiplicity $3$ in $M-4I$?




If one can show how to proceed after this,I will be really grateful.



Please help









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edited Aug 29 at 6:13

























asked Aug 29 at 5:38









PureMathematics

976




976











  • You esssentially need to find the column space of the matrix $M - 4I$ i.e. what is the dimension of the vector space which is spanned by the columns of the matrix $M - 4I$. Look at the columns of $M-4I$, and try to see why the dimension is $3$. You have two rows of zeros, which is very good, but you can go one dimension better. The below answers will serve as hints. Now, by the rank nullity theorem, the kernel dimension is the space dimension minus the rank, which is $6 - 3 = 3$.
    – Ð°ÑÑ‚он вілла олоф мэллбэрг
    Aug 29 at 6:47

















  • You esssentially need to find the column space of the matrix $M - 4I$ i.e. what is the dimension of the vector space which is spanned by the columns of the matrix $M - 4I$. Look at the columns of $M-4I$, and try to see why the dimension is $3$. You have two rows of zeros, which is very good, but you can go one dimension better. The below answers will serve as hints. Now, by the rank nullity theorem, the kernel dimension is the space dimension minus the rank, which is $6 - 3 = 3$.
    – Ð°ÑÑ‚он вілла олоф мэллбэрг
    Aug 29 at 6:47
















You esssentially need to find the column space of the matrix $M - 4I$ i.e. what is the dimension of the vector space which is spanned by the columns of the matrix $M - 4I$. Look at the columns of $M-4I$, and try to see why the dimension is $3$. You have two rows of zeros, which is very good, but you can go one dimension better. The below answers will serve as hints. Now, by the rank nullity theorem, the kernel dimension is the space dimension minus the rank, which is $6 - 3 = 3$.
– Ð°ÑÑ‚он вілла олоф мэллбэрг
Aug 29 at 6:47





You esssentially need to find the column space of the matrix $M - 4I$ i.e. what is the dimension of the vector space which is spanned by the columns of the matrix $M - 4I$. Look at the columns of $M-4I$, and try to see why the dimension is $3$. You have two rows of zeros, which is very good, but you can go one dimension better. The below answers will serve as hints. Now, by the rank nullity theorem, the kernel dimension is the space dimension minus the rank, which is $6 - 3 = 3$.
– Ð°ÑÑ‚он вілла олоф мэллбэрг
Aug 29 at 6:47











2 Answers
2






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up vote
0
down vote



accepted










Since $M$ is symmetric, the geometric and algebraic multiplicity of its eigenvalues coincide.



If you finish your row reduction, you get
$$
beginbmatrix 1&1&1&1&1&1\1&1&1&1&1&1\1&1&1&1&1&1\1&1&1&0&1&0\1&1&1&1&0&0\1&1&1&0&0&-1endbmatrix
xrightarrow
beginbmatrix 1&1&1&0&0&-1\0&0&0&1&0&1\0&0&0&0&1&1\0&0&0&0&0&0\ 0&0&0&0&0&0\ 0&0&0&0&0&0endbmatrix
$$
As there are three leading ones, this shows that the set of solutions of $(M-4I)x=0$ has three dependent solutions, and three independent. Thus $dim ker(M-4I)=3$. This means that the eigenvalue 4 has geometric and algebraic multiplicity 3.






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  • Will u please explain how $3$ leading ones give the existence of $3$ dependent solutions
    – PureMathematics
    Aug 29 at 6:28










  • The equations are $$x_1+x_2+x_3-x_6=0, x_4+x_6=0, x_5+x_6=0. $$Taking $x_2=r, x_3=s, x_6=t $ as parameters you get to express the solutions as $$x_1=-r-s+t, x_4=x_5=-t.$$ Having three parameters means that the solution space has dimension three. If you have trouble with linear systems, you won't be able to do much with eigenvalues.
    – Martin Argerami
    Aug 29 at 6:39

















up vote
0
down vote













If it only had multiplicity $2$, $M-4I$ would have rank $4$, i.e. four of its rows would be linearly independent. Since the top three rows are the same, that would have to be the last four rows. But $(row 3) - (row 4) - (row 5) + (row 6) = 0$, so they are linearly dependent.






share|cite|improve this answer




















  • Sir will you please go through my edits I did in the question,it will help me a lot
    – PureMathematics
    Aug 29 at 6:14










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2 Answers
2






active

oldest

votes








2 Answers
2






active

oldest

votes









active

oldest

votes






active

oldest

votes








up vote
0
down vote



accepted










Since $M$ is symmetric, the geometric and algebraic multiplicity of its eigenvalues coincide.



If you finish your row reduction, you get
$$
beginbmatrix 1&1&1&1&1&1\1&1&1&1&1&1\1&1&1&1&1&1\1&1&1&0&1&0\1&1&1&1&0&0\1&1&1&0&0&-1endbmatrix
xrightarrow
beginbmatrix 1&1&1&0&0&-1\0&0&0&1&0&1\0&0&0&0&1&1\0&0&0&0&0&0\ 0&0&0&0&0&0\ 0&0&0&0&0&0endbmatrix
$$
As there are three leading ones, this shows that the set of solutions of $(M-4I)x=0$ has three dependent solutions, and three independent. Thus $dim ker(M-4I)=3$. This means that the eigenvalue 4 has geometric and algebraic multiplicity 3.






share|cite|improve this answer




















  • Will u please explain how $3$ leading ones give the existence of $3$ dependent solutions
    – PureMathematics
    Aug 29 at 6:28










  • The equations are $$x_1+x_2+x_3-x_6=0, x_4+x_6=0, x_5+x_6=0. $$Taking $x_2=r, x_3=s, x_6=t $ as parameters you get to express the solutions as $$x_1=-r-s+t, x_4=x_5=-t.$$ Having three parameters means that the solution space has dimension three. If you have trouble with linear systems, you won't be able to do much with eigenvalues.
    – Martin Argerami
    Aug 29 at 6:39














up vote
0
down vote



accepted










Since $M$ is symmetric, the geometric and algebraic multiplicity of its eigenvalues coincide.



If you finish your row reduction, you get
$$
beginbmatrix 1&1&1&1&1&1\1&1&1&1&1&1\1&1&1&1&1&1\1&1&1&0&1&0\1&1&1&1&0&0\1&1&1&0&0&-1endbmatrix
xrightarrow
beginbmatrix 1&1&1&0&0&-1\0&0&0&1&0&1\0&0&0&0&1&1\0&0&0&0&0&0\ 0&0&0&0&0&0\ 0&0&0&0&0&0endbmatrix
$$
As there are three leading ones, this shows that the set of solutions of $(M-4I)x=0$ has three dependent solutions, and three independent. Thus $dim ker(M-4I)=3$. This means that the eigenvalue 4 has geometric and algebraic multiplicity 3.






share|cite|improve this answer




















  • Will u please explain how $3$ leading ones give the existence of $3$ dependent solutions
    – PureMathematics
    Aug 29 at 6:28










  • The equations are $$x_1+x_2+x_3-x_6=0, x_4+x_6=0, x_5+x_6=0. $$Taking $x_2=r, x_3=s, x_6=t $ as parameters you get to express the solutions as $$x_1=-r-s+t, x_4=x_5=-t.$$ Having three parameters means that the solution space has dimension three. If you have trouble with linear systems, you won't be able to do much with eigenvalues.
    – Martin Argerami
    Aug 29 at 6:39












up vote
0
down vote



accepted







up vote
0
down vote



accepted






Since $M$ is symmetric, the geometric and algebraic multiplicity of its eigenvalues coincide.



If you finish your row reduction, you get
$$
beginbmatrix 1&1&1&1&1&1\1&1&1&1&1&1\1&1&1&1&1&1\1&1&1&0&1&0\1&1&1&1&0&0\1&1&1&0&0&-1endbmatrix
xrightarrow
beginbmatrix 1&1&1&0&0&-1\0&0&0&1&0&1\0&0&0&0&1&1\0&0&0&0&0&0\ 0&0&0&0&0&0\ 0&0&0&0&0&0endbmatrix
$$
As there are three leading ones, this shows that the set of solutions of $(M-4I)x=0$ has three dependent solutions, and three independent. Thus $dim ker(M-4I)=3$. This means that the eigenvalue 4 has geometric and algebraic multiplicity 3.






share|cite|improve this answer












Since $M$ is symmetric, the geometric and algebraic multiplicity of its eigenvalues coincide.



If you finish your row reduction, you get
$$
beginbmatrix 1&1&1&1&1&1\1&1&1&1&1&1\1&1&1&1&1&1\1&1&1&0&1&0\1&1&1&1&0&0\1&1&1&0&0&-1endbmatrix
xrightarrow
beginbmatrix 1&1&1&0&0&-1\0&0&0&1&0&1\0&0&0&0&1&1\0&0&0&0&0&0\ 0&0&0&0&0&0\ 0&0&0&0&0&0endbmatrix
$$
As there are three leading ones, this shows that the set of solutions of $(M-4I)x=0$ has three dependent solutions, and three independent. Thus $dim ker(M-4I)=3$. This means that the eigenvalue 4 has geometric and algebraic multiplicity 3.







share|cite|improve this answer












share|cite|improve this answer



share|cite|improve this answer










answered Aug 29 at 6:16









Martin Argerami

117k1071165




117k1071165











  • Will u please explain how $3$ leading ones give the existence of $3$ dependent solutions
    – PureMathematics
    Aug 29 at 6:28










  • The equations are $$x_1+x_2+x_3-x_6=0, x_4+x_6=0, x_5+x_6=0. $$Taking $x_2=r, x_3=s, x_6=t $ as parameters you get to express the solutions as $$x_1=-r-s+t, x_4=x_5=-t.$$ Having three parameters means that the solution space has dimension three. If you have trouble with linear systems, you won't be able to do much with eigenvalues.
    – Martin Argerami
    Aug 29 at 6:39
















  • Will u please explain how $3$ leading ones give the existence of $3$ dependent solutions
    – PureMathematics
    Aug 29 at 6:28










  • The equations are $$x_1+x_2+x_3-x_6=0, x_4+x_6=0, x_5+x_6=0. $$Taking $x_2=r, x_3=s, x_6=t $ as parameters you get to express the solutions as $$x_1=-r-s+t, x_4=x_5=-t.$$ Having three parameters means that the solution space has dimension three. If you have trouble with linear systems, you won't be able to do much with eigenvalues.
    – Martin Argerami
    Aug 29 at 6:39















Will u please explain how $3$ leading ones give the existence of $3$ dependent solutions
– PureMathematics
Aug 29 at 6:28




Will u please explain how $3$ leading ones give the existence of $3$ dependent solutions
– PureMathematics
Aug 29 at 6:28












The equations are $$x_1+x_2+x_3-x_6=0, x_4+x_6=0, x_5+x_6=0. $$Taking $x_2=r, x_3=s, x_6=t $ as parameters you get to express the solutions as $$x_1=-r-s+t, x_4=x_5=-t.$$ Having three parameters means that the solution space has dimension three. If you have trouble with linear systems, you won't be able to do much with eigenvalues.
– Martin Argerami
Aug 29 at 6:39




The equations are $$x_1+x_2+x_3-x_6=0, x_4+x_6=0, x_5+x_6=0. $$Taking $x_2=r, x_3=s, x_6=t $ as parameters you get to express the solutions as $$x_1=-r-s+t, x_4=x_5=-t.$$ Having three parameters means that the solution space has dimension three. If you have trouble with linear systems, you won't be able to do much with eigenvalues.
– Martin Argerami
Aug 29 at 6:39










up vote
0
down vote













If it only had multiplicity $2$, $M-4I$ would have rank $4$, i.e. four of its rows would be linearly independent. Since the top three rows are the same, that would have to be the last four rows. But $(row 3) - (row 4) - (row 5) + (row 6) = 0$, so they are linearly dependent.






share|cite|improve this answer




















  • Sir will you please go through my edits I did in the question,it will help me a lot
    – PureMathematics
    Aug 29 at 6:14














up vote
0
down vote













If it only had multiplicity $2$, $M-4I$ would have rank $4$, i.e. four of its rows would be linearly independent. Since the top three rows are the same, that would have to be the last four rows. But $(row 3) - (row 4) - (row 5) + (row 6) = 0$, so they are linearly dependent.






share|cite|improve this answer




















  • Sir will you please go through my edits I did in the question,it will help me a lot
    – PureMathematics
    Aug 29 at 6:14












up vote
0
down vote










up vote
0
down vote









If it only had multiplicity $2$, $M-4I$ would have rank $4$, i.e. four of its rows would be linearly independent. Since the top three rows are the same, that would have to be the last four rows. But $(row 3) - (row 4) - (row 5) + (row 6) = 0$, so they are linearly dependent.






share|cite|improve this answer












If it only had multiplicity $2$, $M-4I$ would have rank $4$, i.e. four of its rows would be linearly independent. Since the top three rows are the same, that would have to be the last four rows. But $(row 3) - (row 4) - (row 5) + (row 6) = 0$, so they are linearly dependent.







share|cite|improve this answer












share|cite|improve this answer



share|cite|improve this answer










answered Aug 29 at 6:03









Robert Israel

306k22201443




306k22201443











  • Sir will you please go through my edits I did in the question,it will help me a lot
    – PureMathematics
    Aug 29 at 6:14
















  • Sir will you please go through my edits I did in the question,it will help me a lot
    – PureMathematics
    Aug 29 at 6:14















Sir will you please go through my edits I did in the question,it will help me a lot
– PureMathematics
Aug 29 at 6:14




Sir will you please go through my edits I did in the question,it will help me a lot
– PureMathematics
Aug 29 at 6:14

















 

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