Largest value of determinantProving the determinant on the L.H.S = determinant on the R.H.S.Prove that the determinant is $0$ by expressing as a productLeast value of a determinantWrite the given Determinant as the product of two Determinantsdeterminant diagonal zero symmetric matrixSolving $n$th order determinantMatrix Determinant CalculationProve determinant of a matrix with trigonometry functions.Proving that two determinants are equal without expanding themShow the following matrix has determinant = 0
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Largest value of determinant
Proving the determinant on the L.H.S = determinant on the R.H.S.Prove that the determinant is $0$ by expressing as a productLeast value of a determinantWrite the given Determinant as the product of two Determinantsdeterminant diagonal zero symmetric matrixSolving $n$th order determinantMatrix Determinant CalculationProve determinant of a matrix with trigonometry functions.Proving that two determinants are equal without expanding themShow the following matrix has determinant = 0
$begingroup$
If $alpha,beta,gamma in [-3,10].$ Then largest value of the determinant
$$beginvmatrix3alpha^2&beta^2+alphabeta+alpha^2&gamma^2+alphagamma+alpha^2\\
alpha^2+alphabeta+beta^2& 3beta^2&gamma^2+betagamma+beta^2\\
alpha^2+alphagamma+gamma^2& beta^2+betagamma+gamma^2&3gamma^2endvmatrix$$
Try: I am trying to break that determinant into product of 2 determinants but not able to break it.
Could someone help me in this question? Thanks.
linear-algebra determinant
$endgroup$
This question has an open bounty worth +50
reputation from DXT ending ending at 2019-05-07 04:09:27Z">tomorrow.
The question is widely applicable to a large audience. A detailed canonical answer is required to address all the concerns.
add a comment |
$begingroup$
If $alpha,beta,gamma in [-3,10].$ Then largest value of the determinant
$$beginvmatrix3alpha^2&beta^2+alphabeta+alpha^2&gamma^2+alphagamma+alpha^2\\
alpha^2+alphabeta+beta^2& 3beta^2&gamma^2+betagamma+beta^2\\
alpha^2+alphagamma+gamma^2& beta^2+betagamma+gamma^2&3gamma^2endvmatrix$$
Try: I am trying to break that determinant into product of 2 determinants but not able to break it.
Could someone help me in this question? Thanks.
linear-algebra determinant
$endgroup$
This question has an open bounty worth +50
reputation from DXT ending ending at 2019-05-07 04:09:27Z">tomorrow.
The question is widely applicable to a large audience. A detailed canonical answer is required to address all the concerns.
add a comment |
$begingroup$
If $alpha,beta,gamma in [-3,10].$ Then largest value of the determinant
$$beginvmatrix3alpha^2&beta^2+alphabeta+alpha^2&gamma^2+alphagamma+alpha^2\\
alpha^2+alphabeta+beta^2& 3beta^2&gamma^2+betagamma+beta^2\\
alpha^2+alphagamma+gamma^2& beta^2+betagamma+gamma^2&3gamma^2endvmatrix$$
Try: I am trying to break that determinant into product of 2 determinants but not able to break it.
Could someone help me in this question? Thanks.
linear-algebra determinant
$endgroup$
If $alpha,beta,gamma in [-3,10].$ Then largest value of the determinant
$$beginvmatrix3alpha^2&beta^2+alphabeta+alpha^2&gamma^2+alphagamma+alpha^2\\
alpha^2+alphabeta+beta^2& 3beta^2&gamma^2+betagamma+beta^2\\
alpha^2+alphagamma+gamma^2& beta^2+betagamma+gamma^2&3gamma^2endvmatrix$$
Try: I am trying to break that determinant into product of 2 determinants but not able to break it.
Could someone help me in this question? Thanks.
linear-algebra determinant
linear-algebra determinant
edited Apr 27 at 15:17
StubbornAtom
6,88931443
6,88931443
asked Apr 27 at 15:04
DXTDXT
6,0092733
6,0092733
This question has an open bounty worth +50
reputation from DXT ending ending at 2019-05-07 04:09:27Z">tomorrow.
The question is widely applicable to a large audience. A detailed canonical answer is required to address all the concerns.
This question has an open bounty worth +50
reputation from DXT ending ending at 2019-05-07 04:09:27Z">tomorrow.
The question is widely applicable to a large audience. A detailed canonical answer is required to address all the concerns.
add a comment |
add a comment |
4 Answers
4
active
oldest
votes
$begingroup$
The matrix is the product $AB$, where
$$A=beginpmatrixalpha^2&alpha&1\beta^2&beta&1\
gamma^2&gamma&1endpmatrixmbox and B=beginpmatrix1&1&1\alpha&beta&gamma\
alpha^2&beta^2&gamma^2endpmatrix.$$
So its determinant is the product of $det(A)$ and $det(B)$.
The matrix $A$ can be obtained from $B$ by exchanging the first and the third row and then transposing the result. Therefore $det(A)=-det(B)$ and the determinant
of the given matrix is $-det(B)^2$. This is a non-positive expression and its
maximal value $0$ is attained if and only if $det(B)=0$.
Now $B$ is a Vandermonde matrix and its determinant is known to be
$(gamma-beta)(gamma-alpha)(beta-alpha)$. This determinant is zero and thus the given determinant attains its maximal value if and only if two or more of the numbers $alpha,beta,gamma$ are equal.
$endgroup$
$begingroup$
Beautiful solution, but how did you obtain $A$ and $B$? Was it just inspiration, or previous experience?
$endgroup$
– Alex M.
2 days ago
2
$begingroup$
To be honest, a) I had seen the value of the determinant in the other answers and it is related to Vandermonde, b) the question speaks of breaking into a product, c) the squares in the matrix hint to Vandermonde and d) the fact that every entry is a sum of three terms (sometimes equal) also hints a product of Vandermonde-like matrices. The rest is experimenting...
$endgroup$
– Helmut
2 days ago
add a comment |
$begingroup$
Hint: Using the rules of SARRUS we get after simplifying $$- left( alpha-gamma right) ^2 left( beta-gamma right) ^2
left( beta-alpha right) ^2
$$
$endgroup$
$begingroup$
I think so! What result do you get?
$endgroup$
– Dr. Sonnhard Graubner
Apr 27 at 15:22
$begingroup$
This is nice to hear!
$endgroup$
– Dr. Sonnhard Graubner
Apr 27 at 15:23
$begingroup$
A big typo is only a typo, big or not!
$endgroup$
– Dr. Sonnhard Graubner
Apr 27 at 15:24
$begingroup$
Answer given is $0$
$endgroup$
– DXT
Apr 28 at 1:19
$begingroup$
I would eat a jar of fish oil rather than performing all those multiplications, and then all the simplifications. Plus, you are cheating, because you haven't performed them yourself, but rather used a computer algebra system to do them.
$endgroup$
– Alex M.
Apr 30 at 14:18
add a comment |
$begingroup$
Being a $3 times 3$ determinant, it is too small to be attacked with sophisticated techniques, but also too involved to be attacked by brute force. We shall compute it with successive simplifications of its rows and columns. In the following, $R_i$ and $C_j$ will mean the $i$-th row and the $j$-th column, and $[R_i to aR_i + bR_j]$ means to replace the $i$-th row with the linear combination $aR_i + bR_j$ where $a$ and $b$ are numbers. The computation, then, goes as follows:
$$beginalign*
& beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
alpha^2 + alpha beta + beta^2 & 3beta^2 & gamma^2 + beta gamma + beta^2 \
alpha^2 + alpha gamma + gamma^2 & beta^2 + beta gamma + gamma^2 & 3gamma^2endvmatrix = [R_2 to R_2 - R_3] = \[10pt]
& beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
(beta - gamma) (alpha + beta + gamma) & (beta - gamma) (2beta + gamma) & (beta - gamma) (beta + 2gamma) \
alpha^2 + alpha gamma + gamma^2 & beta^2 + beta gamma + gamma^2 & 3gamma^2endvmatrix = \[10pt]
(beta - gamma) & beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & 2beta + gamma & beta + 2gamma \
alpha^2 + alpha gamma + gamma^2 & beta^2 + beta gamma + gamma^2 & 3gamma^2endvmatrix = [R_3 to R_3 - R_1] = \[10pt]
(beta - gamma) & beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & 2beta + gamma & beta + 2gamma \
(gamma - alpha) (gamma + 2alpha) & (gamma - alpha) (alpha + beta + gamma) & (gamma - alpha) (2gamma + alpha) endvmatrix = \[10pt]
(beta - gamma) (gamma - alpha) & beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & 2beta + gamma & beta + 2gamma \
gamma + 2alpha & alpha + beta + gamma & 2gamma + alpha endvmatrix = [C_2 to C_2 - C_1] = \[10pt]
(beta - gamma) (gamma - alpha) & beginvmatrix
3alpha^2 & (beta - alpha) (beta + 2alpha) & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & beta - alpha & beta + 2gamma \
gamma + 2alpha & beta - alpha & 2gamma + alpha endvmatrix = \[10pt]
(beta - gamma) (gamma - alpha) (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & 1 & beta + 2gamma \
gamma + 2alpha & 1 & 2gamma + alpha
endvmatrix = [C_3 to C_3 - C_1] \[10pt]
(beta - gamma) (gamma - alpha) (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & (gamma - alpha) (gamma + 2alpha) \
alpha + beta + gamma & 1 & gamma - alpha \
gamma + 2alpha & 1 & gamma - alpha
endvmatrix = \[10pt]
(beta - gamma) (gamma - alpha)^2 (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & gamma + 2alpha \
alpha + beta + gamma & 1 & 1 \
gamma + 2alpha & 1 & 1
endvmatrix = [C_3 to C_3 - C_2] \[10pt]
(beta - gamma) (gamma - alpha)^2 (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & gamma - beta \
alpha + beta + gamma & 1 & 0 \
gamma + 2alpha & 1 & 0
endvmatrix = \[10pt]
- (beta - gamma)^2 (gamma - alpha)^2 (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & 1 \
alpha + beta + gamma & 1 & 0 \
gamma + 2alpha & 1 & 0
endvmatrix = \[10pt]
- (beta - gamma)^2 (gamma - alpha)^2 (beta - alpha)^2
endalign*
$$
where the last $3 times 3$ determinant has been expanded along the $3$rd column.
Since the determinant is the negative of the square of a product of real numbers, its maximum will be $0$, reached whenever any two of $alpha, beta, gamma in [-3,10]$ are equal.
$endgroup$
add a comment |
$begingroup$
Hint: The matrix is symmetric. You can use the Cholesky decomposition to rewrite the matrix $A$ as $A=LL^T$, in which $L$ is a lower triangular matrix. Then the determinant is $det A = det L det L^T = det^2 L$. Then $det L$ is given by the product of the diagonal elements of $L$ as it is a lower triangular matrix.
$endgroup$
$begingroup$
Yeah, well, saying it is easy, but why don't you also do it? Finding $L$ doesn't seem to be easier that computing the determinant by brute force, so why bother, then?
$endgroup$
– Alex M.
Apr 30 at 14:17
add a comment |
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4 Answers
4
active
oldest
votes
4 Answers
4
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
The matrix is the product $AB$, where
$$A=beginpmatrixalpha^2&alpha&1\beta^2&beta&1\
gamma^2&gamma&1endpmatrixmbox and B=beginpmatrix1&1&1\alpha&beta&gamma\
alpha^2&beta^2&gamma^2endpmatrix.$$
So its determinant is the product of $det(A)$ and $det(B)$.
The matrix $A$ can be obtained from $B$ by exchanging the first and the third row and then transposing the result. Therefore $det(A)=-det(B)$ and the determinant
of the given matrix is $-det(B)^2$. This is a non-positive expression and its
maximal value $0$ is attained if and only if $det(B)=0$.
Now $B$ is a Vandermonde matrix and its determinant is known to be
$(gamma-beta)(gamma-alpha)(beta-alpha)$. This determinant is zero and thus the given determinant attains its maximal value if and only if two or more of the numbers $alpha,beta,gamma$ are equal.
$endgroup$
$begingroup$
Beautiful solution, but how did you obtain $A$ and $B$? Was it just inspiration, or previous experience?
$endgroup$
– Alex M.
2 days ago
2
$begingroup$
To be honest, a) I had seen the value of the determinant in the other answers and it is related to Vandermonde, b) the question speaks of breaking into a product, c) the squares in the matrix hint to Vandermonde and d) the fact that every entry is a sum of three terms (sometimes equal) also hints a product of Vandermonde-like matrices. The rest is experimenting...
$endgroup$
– Helmut
2 days ago
add a comment |
$begingroup$
The matrix is the product $AB$, where
$$A=beginpmatrixalpha^2&alpha&1\beta^2&beta&1\
gamma^2&gamma&1endpmatrixmbox and B=beginpmatrix1&1&1\alpha&beta&gamma\
alpha^2&beta^2&gamma^2endpmatrix.$$
So its determinant is the product of $det(A)$ and $det(B)$.
The matrix $A$ can be obtained from $B$ by exchanging the first and the third row and then transposing the result. Therefore $det(A)=-det(B)$ and the determinant
of the given matrix is $-det(B)^2$. This is a non-positive expression and its
maximal value $0$ is attained if and only if $det(B)=0$.
Now $B$ is a Vandermonde matrix and its determinant is known to be
$(gamma-beta)(gamma-alpha)(beta-alpha)$. This determinant is zero and thus the given determinant attains its maximal value if and only if two or more of the numbers $alpha,beta,gamma$ are equal.
$endgroup$
$begingroup$
Beautiful solution, but how did you obtain $A$ and $B$? Was it just inspiration, or previous experience?
$endgroup$
– Alex M.
2 days ago
2
$begingroup$
To be honest, a) I had seen the value of the determinant in the other answers and it is related to Vandermonde, b) the question speaks of breaking into a product, c) the squares in the matrix hint to Vandermonde and d) the fact that every entry is a sum of three terms (sometimes equal) also hints a product of Vandermonde-like matrices. The rest is experimenting...
$endgroup$
– Helmut
2 days ago
add a comment |
$begingroup$
The matrix is the product $AB$, where
$$A=beginpmatrixalpha^2&alpha&1\beta^2&beta&1\
gamma^2&gamma&1endpmatrixmbox and B=beginpmatrix1&1&1\alpha&beta&gamma\
alpha^2&beta^2&gamma^2endpmatrix.$$
So its determinant is the product of $det(A)$ and $det(B)$.
The matrix $A$ can be obtained from $B$ by exchanging the first and the third row and then transposing the result. Therefore $det(A)=-det(B)$ and the determinant
of the given matrix is $-det(B)^2$. This is a non-positive expression and its
maximal value $0$ is attained if and only if $det(B)=0$.
Now $B$ is a Vandermonde matrix and its determinant is known to be
$(gamma-beta)(gamma-alpha)(beta-alpha)$. This determinant is zero and thus the given determinant attains its maximal value if and only if two or more of the numbers $alpha,beta,gamma$ are equal.
$endgroup$
The matrix is the product $AB$, where
$$A=beginpmatrixalpha^2&alpha&1\beta^2&beta&1\
gamma^2&gamma&1endpmatrixmbox and B=beginpmatrix1&1&1\alpha&beta&gamma\
alpha^2&beta^2&gamma^2endpmatrix.$$
So its determinant is the product of $det(A)$ and $det(B)$.
The matrix $A$ can be obtained from $B$ by exchanging the first and the third row and then transposing the result. Therefore $det(A)=-det(B)$ and the determinant
of the given matrix is $-det(B)^2$. This is a non-positive expression and its
maximal value $0$ is attained if and only if $det(B)=0$.
Now $B$ is a Vandermonde matrix and its determinant is known to be
$(gamma-beta)(gamma-alpha)(beta-alpha)$. This determinant is zero and thus the given determinant attains its maximal value if and only if two or more of the numbers $alpha,beta,gamma$ are equal.
answered May 2 at 20:05
HelmutHelmut
1,089128
1,089128
$begingroup$
Beautiful solution, but how did you obtain $A$ and $B$? Was it just inspiration, or previous experience?
$endgroup$
– Alex M.
2 days ago
2
$begingroup$
To be honest, a) I had seen the value of the determinant in the other answers and it is related to Vandermonde, b) the question speaks of breaking into a product, c) the squares in the matrix hint to Vandermonde and d) the fact that every entry is a sum of three terms (sometimes equal) also hints a product of Vandermonde-like matrices. The rest is experimenting...
$endgroup$
– Helmut
2 days ago
add a comment |
$begingroup$
Beautiful solution, but how did you obtain $A$ and $B$? Was it just inspiration, or previous experience?
$endgroup$
– Alex M.
2 days ago
2
$begingroup$
To be honest, a) I had seen the value of the determinant in the other answers and it is related to Vandermonde, b) the question speaks of breaking into a product, c) the squares in the matrix hint to Vandermonde and d) the fact that every entry is a sum of three terms (sometimes equal) also hints a product of Vandermonde-like matrices. The rest is experimenting...
$endgroup$
– Helmut
2 days ago
$begingroup$
Beautiful solution, but how did you obtain $A$ and $B$? Was it just inspiration, or previous experience?
$endgroup$
– Alex M.
2 days ago
$begingroup$
Beautiful solution, but how did you obtain $A$ and $B$? Was it just inspiration, or previous experience?
$endgroup$
– Alex M.
2 days ago
2
2
$begingroup$
To be honest, a) I had seen the value of the determinant in the other answers and it is related to Vandermonde, b) the question speaks of breaking into a product, c) the squares in the matrix hint to Vandermonde and d) the fact that every entry is a sum of three terms (sometimes equal) also hints a product of Vandermonde-like matrices. The rest is experimenting...
$endgroup$
– Helmut
2 days ago
$begingroup$
To be honest, a) I had seen the value of the determinant in the other answers and it is related to Vandermonde, b) the question speaks of breaking into a product, c) the squares in the matrix hint to Vandermonde and d) the fact that every entry is a sum of three terms (sometimes equal) also hints a product of Vandermonde-like matrices. The rest is experimenting...
$endgroup$
– Helmut
2 days ago
add a comment |
$begingroup$
Hint: Using the rules of SARRUS we get after simplifying $$- left( alpha-gamma right) ^2 left( beta-gamma right) ^2
left( beta-alpha right) ^2
$$
$endgroup$
$begingroup$
I think so! What result do you get?
$endgroup$
– Dr. Sonnhard Graubner
Apr 27 at 15:22
$begingroup$
This is nice to hear!
$endgroup$
– Dr. Sonnhard Graubner
Apr 27 at 15:23
$begingroup$
A big typo is only a typo, big or not!
$endgroup$
– Dr. Sonnhard Graubner
Apr 27 at 15:24
$begingroup$
Answer given is $0$
$endgroup$
– DXT
Apr 28 at 1:19
$begingroup$
I would eat a jar of fish oil rather than performing all those multiplications, and then all the simplifications. Plus, you are cheating, because you haven't performed them yourself, but rather used a computer algebra system to do them.
$endgroup$
– Alex M.
Apr 30 at 14:18
add a comment |
$begingroup$
Hint: Using the rules of SARRUS we get after simplifying $$- left( alpha-gamma right) ^2 left( beta-gamma right) ^2
left( beta-alpha right) ^2
$$
$endgroup$
$begingroup$
I think so! What result do you get?
$endgroup$
– Dr. Sonnhard Graubner
Apr 27 at 15:22
$begingroup$
This is nice to hear!
$endgroup$
– Dr. Sonnhard Graubner
Apr 27 at 15:23
$begingroup$
A big typo is only a typo, big or not!
$endgroup$
– Dr. Sonnhard Graubner
Apr 27 at 15:24
$begingroup$
Answer given is $0$
$endgroup$
– DXT
Apr 28 at 1:19
$begingroup$
I would eat a jar of fish oil rather than performing all those multiplications, and then all the simplifications. Plus, you are cheating, because you haven't performed them yourself, but rather used a computer algebra system to do them.
$endgroup$
– Alex M.
Apr 30 at 14:18
add a comment |
$begingroup$
Hint: Using the rules of SARRUS we get after simplifying $$- left( alpha-gamma right) ^2 left( beta-gamma right) ^2
left( beta-alpha right) ^2
$$
$endgroup$
Hint: Using the rules of SARRUS we get after simplifying $$- left( alpha-gamma right) ^2 left( beta-gamma right) ^2
left( beta-alpha right) ^2
$$
answered Apr 27 at 15:16
Dr. Sonnhard GraubnerDr. Sonnhard Graubner
80.4k42867
80.4k42867
$begingroup$
I think so! What result do you get?
$endgroup$
– Dr. Sonnhard Graubner
Apr 27 at 15:22
$begingroup$
This is nice to hear!
$endgroup$
– Dr. Sonnhard Graubner
Apr 27 at 15:23
$begingroup$
A big typo is only a typo, big or not!
$endgroup$
– Dr. Sonnhard Graubner
Apr 27 at 15:24
$begingroup$
Answer given is $0$
$endgroup$
– DXT
Apr 28 at 1:19
$begingroup$
I would eat a jar of fish oil rather than performing all those multiplications, and then all the simplifications. Plus, you are cheating, because you haven't performed them yourself, but rather used a computer algebra system to do them.
$endgroup$
– Alex M.
Apr 30 at 14:18
add a comment |
$begingroup$
I think so! What result do you get?
$endgroup$
– Dr. Sonnhard Graubner
Apr 27 at 15:22
$begingroup$
This is nice to hear!
$endgroup$
– Dr. Sonnhard Graubner
Apr 27 at 15:23
$begingroup$
A big typo is only a typo, big or not!
$endgroup$
– Dr. Sonnhard Graubner
Apr 27 at 15:24
$begingroup$
Answer given is $0$
$endgroup$
– DXT
Apr 28 at 1:19
$begingroup$
I would eat a jar of fish oil rather than performing all those multiplications, and then all the simplifications. Plus, you are cheating, because you haven't performed them yourself, but rather used a computer algebra system to do them.
$endgroup$
– Alex M.
Apr 30 at 14:18
$begingroup$
I think so! What result do you get?
$endgroup$
– Dr. Sonnhard Graubner
Apr 27 at 15:22
$begingroup$
I think so! What result do you get?
$endgroup$
– Dr. Sonnhard Graubner
Apr 27 at 15:22
$begingroup$
This is nice to hear!
$endgroup$
– Dr. Sonnhard Graubner
Apr 27 at 15:23
$begingroup$
This is nice to hear!
$endgroup$
– Dr. Sonnhard Graubner
Apr 27 at 15:23
$begingroup$
A big typo is only a typo, big or not!
$endgroup$
– Dr. Sonnhard Graubner
Apr 27 at 15:24
$begingroup$
A big typo is only a typo, big or not!
$endgroup$
– Dr. Sonnhard Graubner
Apr 27 at 15:24
$begingroup$
Answer given is $0$
$endgroup$
– DXT
Apr 28 at 1:19
$begingroup$
Answer given is $0$
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– DXT
Apr 28 at 1:19
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I would eat a jar of fish oil rather than performing all those multiplications, and then all the simplifications. Plus, you are cheating, because you haven't performed them yourself, but rather used a computer algebra system to do them.
$endgroup$
– Alex M.
Apr 30 at 14:18
$begingroup$
I would eat a jar of fish oil rather than performing all those multiplications, and then all the simplifications. Plus, you are cheating, because you haven't performed them yourself, but rather used a computer algebra system to do them.
$endgroup$
– Alex M.
Apr 30 at 14:18
add a comment |
$begingroup$
Being a $3 times 3$ determinant, it is too small to be attacked with sophisticated techniques, but also too involved to be attacked by brute force. We shall compute it with successive simplifications of its rows and columns. In the following, $R_i$ and $C_j$ will mean the $i$-th row and the $j$-th column, and $[R_i to aR_i + bR_j]$ means to replace the $i$-th row with the linear combination $aR_i + bR_j$ where $a$ and $b$ are numbers. The computation, then, goes as follows:
$$beginalign*
& beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
alpha^2 + alpha beta + beta^2 & 3beta^2 & gamma^2 + beta gamma + beta^2 \
alpha^2 + alpha gamma + gamma^2 & beta^2 + beta gamma + gamma^2 & 3gamma^2endvmatrix = [R_2 to R_2 - R_3] = \[10pt]
& beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
(beta - gamma) (alpha + beta + gamma) & (beta - gamma) (2beta + gamma) & (beta - gamma) (beta + 2gamma) \
alpha^2 + alpha gamma + gamma^2 & beta^2 + beta gamma + gamma^2 & 3gamma^2endvmatrix = \[10pt]
(beta - gamma) & beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & 2beta + gamma & beta + 2gamma \
alpha^2 + alpha gamma + gamma^2 & beta^2 + beta gamma + gamma^2 & 3gamma^2endvmatrix = [R_3 to R_3 - R_1] = \[10pt]
(beta - gamma) & beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & 2beta + gamma & beta + 2gamma \
(gamma - alpha) (gamma + 2alpha) & (gamma - alpha) (alpha + beta + gamma) & (gamma - alpha) (2gamma + alpha) endvmatrix = \[10pt]
(beta - gamma) (gamma - alpha) & beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & 2beta + gamma & beta + 2gamma \
gamma + 2alpha & alpha + beta + gamma & 2gamma + alpha endvmatrix = [C_2 to C_2 - C_1] = \[10pt]
(beta - gamma) (gamma - alpha) & beginvmatrix
3alpha^2 & (beta - alpha) (beta + 2alpha) & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & beta - alpha & beta + 2gamma \
gamma + 2alpha & beta - alpha & 2gamma + alpha endvmatrix = \[10pt]
(beta - gamma) (gamma - alpha) (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & 1 & beta + 2gamma \
gamma + 2alpha & 1 & 2gamma + alpha
endvmatrix = [C_3 to C_3 - C_1] \[10pt]
(beta - gamma) (gamma - alpha) (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & (gamma - alpha) (gamma + 2alpha) \
alpha + beta + gamma & 1 & gamma - alpha \
gamma + 2alpha & 1 & gamma - alpha
endvmatrix = \[10pt]
(beta - gamma) (gamma - alpha)^2 (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & gamma + 2alpha \
alpha + beta + gamma & 1 & 1 \
gamma + 2alpha & 1 & 1
endvmatrix = [C_3 to C_3 - C_2] \[10pt]
(beta - gamma) (gamma - alpha)^2 (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & gamma - beta \
alpha + beta + gamma & 1 & 0 \
gamma + 2alpha & 1 & 0
endvmatrix = \[10pt]
- (beta - gamma)^2 (gamma - alpha)^2 (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & 1 \
alpha + beta + gamma & 1 & 0 \
gamma + 2alpha & 1 & 0
endvmatrix = \[10pt]
- (beta - gamma)^2 (gamma - alpha)^2 (beta - alpha)^2
endalign*
$$
where the last $3 times 3$ determinant has been expanded along the $3$rd column.
Since the determinant is the negative of the square of a product of real numbers, its maximum will be $0$, reached whenever any two of $alpha, beta, gamma in [-3,10]$ are equal.
$endgroup$
add a comment |
$begingroup$
Being a $3 times 3$ determinant, it is too small to be attacked with sophisticated techniques, but also too involved to be attacked by brute force. We shall compute it with successive simplifications of its rows and columns. In the following, $R_i$ and $C_j$ will mean the $i$-th row and the $j$-th column, and $[R_i to aR_i + bR_j]$ means to replace the $i$-th row with the linear combination $aR_i + bR_j$ where $a$ and $b$ are numbers. The computation, then, goes as follows:
$$beginalign*
& beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
alpha^2 + alpha beta + beta^2 & 3beta^2 & gamma^2 + beta gamma + beta^2 \
alpha^2 + alpha gamma + gamma^2 & beta^2 + beta gamma + gamma^2 & 3gamma^2endvmatrix = [R_2 to R_2 - R_3] = \[10pt]
& beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
(beta - gamma) (alpha + beta + gamma) & (beta - gamma) (2beta + gamma) & (beta - gamma) (beta + 2gamma) \
alpha^2 + alpha gamma + gamma^2 & beta^2 + beta gamma + gamma^2 & 3gamma^2endvmatrix = \[10pt]
(beta - gamma) & beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & 2beta + gamma & beta + 2gamma \
alpha^2 + alpha gamma + gamma^2 & beta^2 + beta gamma + gamma^2 & 3gamma^2endvmatrix = [R_3 to R_3 - R_1] = \[10pt]
(beta - gamma) & beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & 2beta + gamma & beta + 2gamma \
(gamma - alpha) (gamma + 2alpha) & (gamma - alpha) (alpha + beta + gamma) & (gamma - alpha) (2gamma + alpha) endvmatrix = \[10pt]
(beta - gamma) (gamma - alpha) & beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & 2beta + gamma & beta + 2gamma \
gamma + 2alpha & alpha + beta + gamma & 2gamma + alpha endvmatrix = [C_2 to C_2 - C_1] = \[10pt]
(beta - gamma) (gamma - alpha) & beginvmatrix
3alpha^2 & (beta - alpha) (beta + 2alpha) & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & beta - alpha & beta + 2gamma \
gamma + 2alpha & beta - alpha & 2gamma + alpha endvmatrix = \[10pt]
(beta - gamma) (gamma - alpha) (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & 1 & beta + 2gamma \
gamma + 2alpha & 1 & 2gamma + alpha
endvmatrix = [C_3 to C_3 - C_1] \[10pt]
(beta - gamma) (gamma - alpha) (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & (gamma - alpha) (gamma + 2alpha) \
alpha + beta + gamma & 1 & gamma - alpha \
gamma + 2alpha & 1 & gamma - alpha
endvmatrix = \[10pt]
(beta - gamma) (gamma - alpha)^2 (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & gamma + 2alpha \
alpha + beta + gamma & 1 & 1 \
gamma + 2alpha & 1 & 1
endvmatrix = [C_3 to C_3 - C_2] \[10pt]
(beta - gamma) (gamma - alpha)^2 (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & gamma - beta \
alpha + beta + gamma & 1 & 0 \
gamma + 2alpha & 1 & 0
endvmatrix = \[10pt]
- (beta - gamma)^2 (gamma - alpha)^2 (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & 1 \
alpha + beta + gamma & 1 & 0 \
gamma + 2alpha & 1 & 0
endvmatrix = \[10pt]
- (beta - gamma)^2 (gamma - alpha)^2 (beta - alpha)^2
endalign*
$$
where the last $3 times 3$ determinant has been expanded along the $3$rd column.
Since the determinant is the negative of the square of a product of real numbers, its maximum will be $0$, reached whenever any two of $alpha, beta, gamma in [-3,10]$ are equal.
$endgroup$
add a comment |
$begingroup$
Being a $3 times 3$ determinant, it is too small to be attacked with sophisticated techniques, but also too involved to be attacked by brute force. We shall compute it with successive simplifications of its rows and columns. In the following, $R_i$ and $C_j$ will mean the $i$-th row and the $j$-th column, and $[R_i to aR_i + bR_j]$ means to replace the $i$-th row with the linear combination $aR_i + bR_j$ where $a$ and $b$ are numbers. The computation, then, goes as follows:
$$beginalign*
& beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
alpha^2 + alpha beta + beta^2 & 3beta^2 & gamma^2 + beta gamma + beta^2 \
alpha^2 + alpha gamma + gamma^2 & beta^2 + beta gamma + gamma^2 & 3gamma^2endvmatrix = [R_2 to R_2 - R_3] = \[10pt]
& beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
(beta - gamma) (alpha + beta + gamma) & (beta - gamma) (2beta + gamma) & (beta - gamma) (beta + 2gamma) \
alpha^2 + alpha gamma + gamma^2 & beta^2 + beta gamma + gamma^2 & 3gamma^2endvmatrix = \[10pt]
(beta - gamma) & beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & 2beta + gamma & beta + 2gamma \
alpha^2 + alpha gamma + gamma^2 & beta^2 + beta gamma + gamma^2 & 3gamma^2endvmatrix = [R_3 to R_3 - R_1] = \[10pt]
(beta - gamma) & beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & 2beta + gamma & beta + 2gamma \
(gamma - alpha) (gamma + 2alpha) & (gamma - alpha) (alpha + beta + gamma) & (gamma - alpha) (2gamma + alpha) endvmatrix = \[10pt]
(beta - gamma) (gamma - alpha) & beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & 2beta + gamma & beta + 2gamma \
gamma + 2alpha & alpha + beta + gamma & 2gamma + alpha endvmatrix = [C_2 to C_2 - C_1] = \[10pt]
(beta - gamma) (gamma - alpha) & beginvmatrix
3alpha^2 & (beta - alpha) (beta + 2alpha) & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & beta - alpha & beta + 2gamma \
gamma + 2alpha & beta - alpha & 2gamma + alpha endvmatrix = \[10pt]
(beta - gamma) (gamma - alpha) (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & 1 & beta + 2gamma \
gamma + 2alpha & 1 & 2gamma + alpha
endvmatrix = [C_3 to C_3 - C_1] \[10pt]
(beta - gamma) (gamma - alpha) (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & (gamma - alpha) (gamma + 2alpha) \
alpha + beta + gamma & 1 & gamma - alpha \
gamma + 2alpha & 1 & gamma - alpha
endvmatrix = \[10pt]
(beta - gamma) (gamma - alpha)^2 (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & gamma + 2alpha \
alpha + beta + gamma & 1 & 1 \
gamma + 2alpha & 1 & 1
endvmatrix = [C_3 to C_3 - C_2] \[10pt]
(beta - gamma) (gamma - alpha)^2 (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & gamma - beta \
alpha + beta + gamma & 1 & 0 \
gamma + 2alpha & 1 & 0
endvmatrix = \[10pt]
- (beta - gamma)^2 (gamma - alpha)^2 (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & 1 \
alpha + beta + gamma & 1 & 0 \
gamma + 2alpha & 1 & 0
endvmatrix = \[10pt]
- (beta - gamma)^2 (gamma - alpha)^2 (beta - alpha)^2
endalign*
$$
where the last $3 times 3$ determinant has been expanded along the $3$rd column.
Since the determinant is the negative of the square of a product of real numbers, its maximum will be $0$, reached whenever any two of $alpha, beta, gamma in [-3,10]$ are equal.
$endgroup$
Being a $3 times 3$ determinant, it is too small to be attacked with sophisticated techniques, but also too involved to be attacked by brute force. We shall compute it with successive simplifications of its rows and columns. In the following, $R_i$ and $C_j$ will mean the $i$-th row and the $j$-th column, and $[R_i to aR_i + bR_j]$ means to replace the $i$-th row with the linear combination $aR_i + bR_j$ where $a$ and $b$ are numbers. The computation, then, goes as follows:
$$beginalign*
& beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
alpha^2 + alpha beta + beta^2 & 3beta^2 & gamma^2 + beta gamma + beta^2 \
alpha^2 + alpha gamma + gamma^2 & beta^2 + beta gamma + gamma^2 & 3gamma^2endvmatrix = [R_2 to R_2 - R_3] = \[10pt]
& beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
(beta - gamma) (alpha + beta + gamma) & (beta - gamma) (2beta + gamma) & (beta - gamma) (beta + 2gamma) \
alpha^2 + alpha gamma + gamma^2 & beta^2 + beta gamma + gamma^2 & 3gamma^2endvmatrix = \[10pt]
(beta - gamma) & beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & 2beta + gamma & beta + 2gamma \
alpha^2 + alpha gamma + gamma^2 & beta^2 + beta gamma + gamma^2 & 3gamma^2endvmatrix = [R_3 to R_3 - R_1] = \[10pt]
(beta - gamma) & beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & 2beta + gamma & beta + 2gamma \
(gamma - alpha) (gamma + 2alpha) & (gamma - alpha) (alpha + beta + gamma) & (gamma - alpha) (2gamma + alpha) endvmatrix = \[10pt]
(beta - gamma) (gamma - alpha) & beginvmatrix
3alpha^2 & beta^2 + alpha beta + alpha^2 & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & 2beta + gamma & beta + 2gamma \
gamma + 2alpha & alpha + beta + gamma & 2gamma + alpha endvmatrix = [C_2 to C_2 - C_1] = \[10pt]
(beta - gamma) (gamma - alpha) & beginvmatrix
3alpha^2 & (beta - alpha) (beta + 2alpha) & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & beta - alpha & beta + 2gamma \
gamma + 2alpha & beta - alpha & 2gamma + alpha endvmatrix = \[10pt]
(beta - gamma) (gamma - alpha) (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & gamma^2 + alpha gamma + alpha^2 \
alpha + beta + gamma & 1 & beta + 2gamma \
gamma + 2alpha & 1 & 2gamma + alpha
endvmatrix = [C_3 to C_3 - C_1] \[10pt]
(beta - gamma) (gamma - alpha) (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & (gamma - alpha) (gamma + 2alpha) \
alpha + beta + gamma & 1 & gamma - alpha \
gamma + 2alpha & 1 & gamma - alpha
endvmatrix = \[10pt]
(beta - gamma) (gamma - alpha)^2 (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & gamma + 2alpha \
alpha + beta + gamma & 1 & 1 \
gamma + 2alpha & 1 & 1
endvmatrix = [C_3 to C_3 - C_2] \[10pt]
(beta - gamma) (gamma - alpha)^2 (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & gamma - beta \
alpha + beta + gamma & 1 & 0 \
gamma + 2alpha & 1 & 0
endvmatrix = \[10pt]
- (beta - gamma)^2 (gamma - alpha)^2 (beta - alpha) & beginvmatrix
3alpha^2 & beta + 2alpha & 1 \
alpha + beta + gamma & 1 & 0 \
gamma + 2alpha & 1 & 0
endvmatrix = \[10pt]
- (beta - gamma)^2 (gamma - alpha)^2 (beta - alpha)^2
endalign*
$$
where the last $3 times 3$ determinant has been expanded along the $3$rd column.
Since the determinant is the negative of the square of a product of real numbers, its maximum will be $0$, reached whenever any two of $alpha, beta, gamma in [-3,10]$ are equal.
edited Apr 30 at 17:42
answered Apr 30 at 14:15
Alex M.Alex M.
29.4k103460
29.4k103460
add a comment |
add a comment |
$begingroup$
Hint: The matrix is symmetric. You can use the Cholesky decomposition to rewrite the matrix $A$ as $A=LL^T$, in which $L$ is a lower triangular matrix. Then the determinant is $det A = det L det L^T = det^2 L$. Then $det L$ is given by the product of the diagonal elements of $L$ as it is a lower triangular matrix.
$endgroup$
$begingroup$
Yeah, well, saying it is easy, but why don't you also do it? Finding $L$ doesn't seem to be easier that computing the determinant by brute force, so why bother, then?
$endgroup$
– Alex M.
Apr 30 at 14:17
add a comment |
$begingroup$
Hint: The matrix is symmetric. You can use the Cholesky decomposition to rewrite the matrix $A$ as $A=LL^T$, in which $L$ is a lower triangular matrix. Then the determinant is $det A = det L det L^T = det^2 L$. Then $det L$ is given by the product of the diagonal elements of $L$ as it is a lower triangular matrix.
$endgroup$
$begingroup$
Yeah, well, saying it is easy, but why don't you also do it? Finding $L$ doesn't seem to be easier that computing the determinant by brute force, so why bother, then?
$endgroup$
– Alex M.
Apr 30 at 14:17
add a comment |
$begingroup$
Hint: The matrix is symmetric. You can use the Cholesky decomposition to rewrite the matrix $A$ as $A=LL^T$, in which $L$ is a lower triangular matrix. Then the determinant is $det A = det L det L^T = det^2 L$. Then $det L$ is given by the product of the diagonal elements of $L$ as it is a lower triangular matrix.
$endgroup$
Hint: The matrix is symmetric. You can use the Cholesky decomposition to rewrite the matrix $A$ as $A=LL^T$, in which $L$ is a lower triangular matrix. Then the determinant is $det A = det L det L^T = det^2 L$. Then $det L$ is given by the product of the diagonal elements of $L$ as it is a lower triangular matrix.
answered Apr 27 at 15:13
MachineLearnerMachineLearner
2,233213
2,233213
$begingroup$
Yeah, well, saying it is easy, but why don't you also do it? Finding $L$ doesn't seem to be easier that computing the determinant by brute force, so why bother, then?
$endgroup$
– Alex M.
Apr 30 at 14:17
add a comment |
$begingroup$
Yeah, well, saying it is easy, but why don't you also do it? Finding $L$ doesn't seem to be easier that computing the determinant by brute force, so why bother, then?
$endgroup$
– Alex M.
Apr 30 at 14:17
$begingroup$
Yeah, well, saying it is easy, but why don't you also do it? Finding $L$ doesn't seem to be easier that computing the determinant by brute force, so why bother, then?
$endgroup$
– Alex M.
Apr 30 at 14:17
$begingroup$
Yeah, well, saying it is easy, but why don't you also do it? Finding $L$ doesn't seem to be easier that computing the determinant by brute force, so why bother, then?
$endgroup$
– Alex M.
Apr 30 at 14:17
add a comment |
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