Elementary matrix to produce row reduction operation. [on hold]
Consider the matrix below.
(a) Apply the elementary row operation R2 ← R2 − 3R1.
begin{pmatrix}
1 & 1 \
3 & 2 \
0 & 3
end{pmatrix}
Which I think would become:
begin{pmatrix}
1 & 1 \
0 & -1 \
0 & 3
end{pmatrix}
(b) Express the application of the row operation from part (a) as the multiplication of an elementary matrix with A.
This part I don't know how to do.
linear-algebra
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put on hold as off-topic by Adrian Keister, KReiser, max_zorn, user91500, fonfonx 2 days ago
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Consider the matrix below.
(a) Apply the elementary row operation R2 ← R2 − 3R1.
begin{pmatrix}
1 & 1 \
3 & 2 \
0 & 3
end{pmatrix}
Which I think would become:
begin{pmatrix}
1 & 1 \
0 & -1 \
0 & 3
end{pmatrix}
(b) Express the application of the row operation from part (a) as the multiplication of an elementary matrix with A.
This part I don't know how to do.
linear-algebra
New contributor
put on hold as off-topic by Adrian Keister, KReiser, max_zorn, user91500, fonfonx 2 days ago
This question appears to be off-topic. The users who voted to close gave this specific reason:
- "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – Adrian Keister, KReiser, max_zorn, user91500, fonfonx
If this question can be reworded to fit the rules in the help center, please edit the question.
add a comment |
Consider the matrix below.
(a) Apply the elementary row operation R2 ← R2 − 3R1.
begin{pmatrix}
1 & 1 \
3 & 2 \
0 & 3
end{pmatrix}
Which I think would become:
begin{pmatrix}
1 & 1 \
0 & -1 \
0 & 3
end{pmatrix}
(b) Express the application of the row operation from part (a) as the multiplication of an elementary matrix with A.
This part I don't know how to do.
linear-algebra
New contributor
Consider the matrix below.
(a) Apply the elementary row operation R2 ← R2 − 3R1.
begin{pmatrix}
1 & 1 \
3 & 2 \
0 & 3
end{pmatrix}
Which I think would become:
begin{pmatrix}
1 & 1 \
0 & -1 \
0 & 3
end{pmatrix}
(b) Express the application of the row operation from part (a) as the multiplication of an elementary matrix with A.
This part I don't know how to do.
linear-algebra
linear-algebra
New contributor
New contributor
New contributor
asked Jan 3 at 20:34
Ryan Reynolds
61
61
New contributor
New contributor
put on hold as off-topic by Adrian Keister, KReiser, max_zorn, user91500, fonfonx 2 days ago
This question appears to be off-topic. The users who voted to close gave this specific reason:
- "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – Adrian Keister, KReiser, max_zorn, user91500, fonfonx
If this question can be reworded to fit the rules in the help center, please edit the question.
put on hold as off-topic by Adrian Keister, KReiser, max_zorn, user91500, fonfonx 2 days ago
This question appears to be off-topic. The users who voted to close gave this specific reason:
- "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – Adrian Keister, KReiser, max_zorn, user91500, fonfonx
If this question can be reworded to fit the rules in the help center, please edit the question.
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2 Answers
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Your part (a) looks good.
The elementary matrix corresponding to this will be the identity matrix with a $-3$ in the $(2,1)$ entry since you're adding $-3$ times the first row to the second row. So the elementary matrix is $$E=begin{bmatrix}1&0&0 \ -3&1&0 \ 0&0&1end{bmatrix}$$ Then this corresponds to the row operation in $A$ by multiplying $$EA=begin{bmatrix}1&1 \ 0&-1 \ 0&3end{bmatrix}$$
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When you multiply two matrices, the rows of the result are linear combinations of the rows of the right-hand matrix, with the coefficients coming from the corresponding row of the left-hand matrix.
Here, the first and third rows of the given matrix are unchanged, so the elementary matrix will have the form $$begin{bmatrix}1&0&0 \ *&*&* \ 0&0&1end{bmatrix}.$$ The second row of the result is supposed to be $R_2-3R_1$, from which we can read that the second row of the elementary matrix must be $(-3,1,0)$.
One way to see why this is the case is to write the right-hand matrix of the matrix product $AB$ in block form, so that it looks like you’re multiplying a vector by a matrix: $$Abegin{bmatrix}B_1\B_2\vdots\B_nend{bmatrix}.$$ The $i$th row of the product is then formally just the dot product of the $i$th row of $A$ with this vector: $a_{i1}B_1+a_{i2}B_2+dots+a_{in}B_n$, a linear combination of the rows of $B$.
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
Your part (a) looks good.
The elementary matrix corresponding to this will be the identity matrix with a $-3$ in the $(2,1)$ entry since you're adding $-3$ times the first row to the second row. So the elementary matrix is $$E=begin{bmatrix}1&0&0 \ -3&1&0 \ 0&0&1end{bmatrix}$$ Then this corresponds to the row operation in $A$ by multiplying $$EA=begin{bmatrix}1&1 \ 0&-1 \ 0&3end{bmatrix}$$
add a comment |
Your part (a) looks good.
The elementary matrix corresponding to this will be the identity matrix with a $-3$ in the $(2,1)$ entry since you're adding $-3$ times the first row to the second row. So the elementary matrix is $$E=begin{bmatrix}1&0&0 \ -3&1&0 \ 0&0&1end{bmatrix}$$ Then this corresponds to the row operation in $A$ by multiplying $$EA=begin{bmatrix}1&1 \ 0&-1 \ 0&3end{bmatrix}$$
add a comment |
Your part (a) looks good.
The elementary matrix corresponding to this will be the identity matrix with a $-3$ in the $(2,1)$ entry since you're adding $-3$ times the first row to the second row. So the elementary matrix is $$E=begin{bmatrix}1&0&0 \ -3&1&0 \ 0&0&1end{bmatrix}$$ Then this corresponds to the row operation in $A$ by multiplying $$EA=begin{bmatrix}1&1 \ 0&-1 \ 0&3end{bmatrix}$$
Your part (a) looks good.
The elementary matrix corresponding to this will be the identity matrix with a $-3$ in the $(2,1)$ entry since you're adding $-3$ times the first row to the second row. So the elementary matrix is $$E=begin{bmatrix}1&0&0 \ -3&1&0 \ 0&0&1end{bmatrix}$$ Then this corresponds to the row operation in $A$ by multiplying $$EA=begin{bmatrix}1&1 \ 0&-1 \ 0&3end{bmatrix}$$
answered 2 days ago
Dave
8,72411033
8,72411033
add a comment |
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When you multiply two matrices, the rows of the result are linear combinations of the rows of the right-hand matrix, with the coefficients coming from the corresponding row of the left-hand matrix.
Here, the first and third rows of the given matrix are unchanged, so the elementary matrix will have the form $$begin{bmatrix}1&0&0 \ *&*&* \ 0&0&1end{bmatrix}.$$ The second row of the result is supposed to be $R_2-3R_1$, from which we can read that the second row of the elementary matrix must be $(-3,1,0)$.
One way to see why this is the case is to write the right-hand matrix of the matrix product $AB$ in block form, so that it looks like you’re multiplying a vector by a matrix: $$Abegin{bmatrix}B_1\B_2\vdots\B_nend{bmatrix}.$$ The $i$th row of the product is then formally just the dot product of the $i$th row of $A$ with this vector: $a_{i1}B_1+a_{i2}B_2+dots+a_{in}B_n$, a linear combination of the rows of $B$.
add a comment |
When you multiply two matrices, the rows of the result are linear combinations of the rows of the right-hand matrix, with the coefficients coming from the corresponding row of the left-hand matrix.
Here, the first and third rows of the given matrix are unchanged, so the elementary matrix will have the form $$begin{bmatrix}1&0&0 \ *&*&* \ 0&0&1end{bmatrix}.$$ The second row of the result is supposed to be $R_2-3R_1$, from which we can read that the second row of the elementary matrix must be $(-3,1,0)$.
One way to see why this is the case is to write the right-hand matrix of the matrix product $AB$ in block form, so that it looks like you’re multiplying a vector by a matrix: $$Abegin{bmatrix}B_1\B_2\vdots\B_nend{bmatrix}.$$ The $i$th row of the product is then formally just the dot product of the $i$th row of $A$ with this vector: $a_{i1}B_1+a_{i2}B_2+dots+a_{in}B_n$, a linear combination of the rows of $B$.
add a comment |
When you multiply two matrices, the rows of the result are linear combinations of the rows of the right-hand matrix, with the coefficients coming from the corresponding row of the left-hand matrix.
Here, the first and third rows of the given matrix are unchanged, so the elementary matrix will have the form $$begin{bmatrix}1&0&0 \ *&*&* \ 0&0&1end{bmatrix}.$$ The second row of the result is supposed to be $R_2-3R_1$, from which we can read that the second row of the elementary matrix must be $(-3,1,0)$.
One way to see why this is the case is to write the right-hand matrix of the matrix product $AB$ in block form, so that it looks like you’re multiplying a vector by a matrix: $$Abegin{bmatrix}B_1\B_2\vdots\B_nend{bmatrix}.$$ The $i$th row of the product is then formally just the dot product of the $i$th row of $A$ with this vector: $a_{i1}B_1+a_{i2}B_2+dots+a_{in}B_n$, a linear combination of the rows of $B$.
When you multiply two matrices, the rows of the result are linear combinations of the rows of the right-hand matrix, with the coefficients coming from the corresponding row of the left-hand matrix.
Here, the first and third rows of the given matrix are unchanged, so the elementary matrix will have the form $$begin{bmatrix}1&0&0 \ *&*&* \ 0&0&1end{bmatrix}.$$ The second row of the result is supposed to be $R_2-3R_1$, from which we can read that the second row of the elementary matrix must be $(-3,1,0)$.
One way to see why this is the case is to write the right-hand matrix of the matrix product $AB$ in block form, so that it looks like you’re multiplying a vector by a matrix: $$Abegin{bmatrix}B_1\B_2\vdots\B_nend{bmatrix}.$$ The $i$th row of the product is then formally just the dot product of the $i$th row of $A$ with this vector: $a_{i1}B_1+a_{i2}B_2+dots+a_{in}B_n$, a linear combination of the rows of $B$.
answered 2 days ago
amd
29.3k21050
29.3k21050
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