Infinite norm of a vector
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While reading the book Numerical Linear Algebra by Trefethen and Bau, I came across the following example.
The authors indicate that $|J|_{infty} = 2$,
however if I recall the definition of $|cdot|_{infty}$ correctly, $|[1, -1]|_{infty} = max(|1|, |{-1}|)$,
which is obviously $1$.
Is this just a typo (the argument still holds if $|J|_{infty} = 1$) or am I misinterpreting something?
linear-algebra norm jacobian condition-number
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add a comment |
$begingroup$
While reading the book Numerical Linear Algebra by Trefethen and Bau, I came across the following example.
The authors indicate that $|J|_{infty} = 2$,
however if I recall the definition of $|cdot|_{infty}$ correctly, $|[1, -1]|_{infty} = max(|1|, |{-1}|)$,
which is obviously $1$.
Is this just a typo (the argument still holds if $|J|_{infty} = 1$) or am I misinterpreting something?
linear-algebra norm jacobian condition-number
$endgroup$
add a comment |
$begingroup$
While reading the book Numerical Linear Algebra by Trefethen and Bau, I came across the following example.
The authors indicate that $|J|_{infty} = 2$,
however if I recall the definition of $|cdot|_{infty}$ correctly, $|[1, -1]|_{infty} = max(|1|, |{-1}|)$,
which is obviously $1$.
Is this just a typo (the argument still holds if $|J|_{infty} = 1$) or am I misinterpreting something?
linear-algebra norm jacobian condition-number
$endgroup$
While reading the book Numerical Linear Algebra by Trefethen and Bau, I came across the following example.
The authors indicate that $|J|_{infty} = 2$,
however if I recall the definition of $|cdot|_{infty}$ correctly, $|[1, -1]|_{infty} = max(|1|, |{-1}|)$,
which is obviously $1$.
Is this just a typo (the argument still holds if $|J|_{infty} = 1$) or am I misinterpreting something?
linear-algebra norm jacobian condition-number
linear-algebra norm jacobian condition-number
asked Jan 19 at 14:39
PeiffapPeiffap
487
487
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1 Answer
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active
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$begingroup$
It is the subordinate matrix infinity norm defined as:
$$|A|_{infty} =max_{1 leq i leq m}sum_{j=1}^{n}|a_{ij}|,$$
for the matrix $$A=left(
begin{array}{ccc}
a_{11}&cdots&a_{1n}\
vdots & ddots & vdots \
a_{m1}&cdots&a_{mn}
end{array}
right). $$
$endgroup$
$begingroup$
Why are we using the subordinate matrix infinity norm, instead of the vector infinity norm?
$endgroup$
– Peiffap
Jan 19 at 14:51
1
$begingroup$
Is it because the Jacobian is a $1 times 2$ matrix, and not a vector?
$endgroup$
– Peiffap
Jan 19 at 14:52
$begingroup$
Refer matrix norms induced by vector norms here.
$endgroup$
– Thomas Shelby
Jan 19 at 14:55
add a comment |
Your Answer
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
It is the subordinate matrix infinity norm defined as:
$$|A|_{infty} =max_{1 leq i leq m}sum_{j=1}^{n}|a_{ij}|,$$
for the matrix $$A=left(
begin{array}{ccc}
a_{11}&cdots&a_{1n}\
vdots & ddots & vdots \
a_{m1}&cdots&a_{mn}
end{array}
right). $$
$endgroup$
$begingroup$
Why are we using the subordinate matrix infinity norm, instead of the vector infinity norm?
$endgroup$
– Peiffap
Jan 19 at 14:51
1
$begingroup$
Is it because the Jacobian is a $1 times 2$ matrix, and not a vector?
$endgroup$
– Peiffap
Jan 19 at 14:52
$begingroup$
Refer matrix norms induced by vector norms here.
$endgroup$
– Thomas Shelby
Jan 19 at 14:55
add a comment |
$begingroup$
It is the subordinate matrix infinity norm defined as:
$$|A|_{infty} =max_{1 leq i leq m}sum_{j=1}^{n}|a_{ij}|,$$
for the matrix $$A=left(
begin{array}{ccc}
a_{11}&cdots&a_{1n}\
vdots & ddots & vdots \
a_{m1}&cdots&a_{mn}
end{array}
right). $$
$endgroup$
$begingroup$
Why are we using the subordinate matrix infinity norm, instead of the vector infinity norm?
$endgroup$
– Peiffap
Jan 19 at 14:51
1
$begingroup$
Is it because the Jacobian is a $1 times 2$ matrix, and not a vector?
$endgroup$
– Peiffap
Jan 19 at 14:52
$begingroup$
Refer matrix norms induced by vector norms here.
$endgroup$
– Thomas Shelby
Jan 19 at 14:55
add a comment |
$begingroup$
It is the subordinate matrix infinity norm defined as:
$$|A|_{infty} =max_{1 leq i leq m}sum_{j=1}^{n}|a_{ij}|,$$
for the matrix $$A=left(
begin{array}{ccc}
a_{11}&cdots&a_{1n}\
vdots & ddots & vdots \
a_{m1}&cdots&a_{mn}
end{array}
right). $$
$endgroup$
It is the subordinate matrix infinity norm defined as:
$$|A|_{infty} =max_{1 leq i leq m}sum_{j=1}^{n}|a_{ij}|,$$
for the matrix $$A=left(
begin{array}{ccc}
a_{11}&cdots&a_{1n}\
vdots & ddots & vdots \
a_{m1}&cdots&a_{mn}
end{array}
right). $$
edited Jan 19 at 15:14
answered Jan 19 at 14:49
Thomas ShelbyThomas Shelby
3,3571524
3,3571524
$begingroup$
Why are we using the subordinate matrix infinity norm, instead of the vector infinity norm?
$endgroup$
– Peiffap
Jan 19 at 14:51
1
$begingroup$
Is it because the Jacobian is a $1 times 2$ matrix, and not a vector?
$endgroup$
– Peiffap
Jan 19 at 14:52
$begingroup$
Refer matrix norms induced by vector norms here.
$endgroup$
– Thomas Shelby
Jan 19 at 14:55
add a comment |
$begingroup$
Why are we using the subordinate matrix infinity norm, instead of the vector infinity norm?
$endgroup$
– Peiffap
Jan 19 at 14:51
1
$begingroup$
Is it because the Jacobian is a $1 times 2$ matrix, and not a vector?
$endgroup$
– Peiffap
Jan 19 at 14:52
$begingroup$
Refer matrix norms induced by vector norms here.
$endgroup$
– Thomas Shelby
Jan 19 at 14:55
$begingroup$
Why are we using the subordinate matrix infinity norm, instead of the vector infinity norm?
$endgroup$
– Peiffap
Jan 19 at 14:51
$begingroup$
Why are we using the subordinate matrix infinity norm, instead of the vector infinity norm?
$endgroup$
– Peiffap
Jan 19 at 14:51
1
1
$begingroup$
Is it because the Jacobian is a $1 times 2$ matrix, and not a vector?
$endgroup$
– Peiffap
Jan 19 at 14:52
$begingroup$
Is it because the Jacobian is a $1 times 2$ matrix, and not a vector?
$endgroup$
– Peiffap
Jan 19 at 14:52
$begingroup$
Refer matrix norms induced by vector norms here.
$endgroup$
– Thomas Shelby
Jan 19 at 14:55
$begingroup$
Refer matrix norms induced by vector norms here.
$endgroup$
– Thomas Shelby
Jan 19 at 14:55
add a comment |
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