How to show $sqrt{text{Tr}(A^2)} leq text{Tr}(A)$?
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Let $A$ be a positive semi-definite matrix. How to show that Frobenius norm is less than trace of the matrix? Formally,
$$sqrt{text{Tr}(A^2)} leq text{Tr}(A)$$
Also, show when $A$ is an $n times m$ the following is true
$$sqrt{text{Tr}(A^TA)} leq |A|_*$$
where $|cdot|_*$ is nuclear norm which is the summation of the singular values.
matrices inequality trace
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add a comment |
$begingroup$
Let $A$ be a positive semi-definite matrix. How to show that Frobenius norm is less than trace of the matrix? Formally,
$$sqrt{text{Tr}(A^2)} leq text{Tr}(A)$$
Also, show when $A$ is an $n times m$ the following is true
$$sqrt{text{Tr}(A^TA)} leq |A|_*$$
where $|cdot|_*$ is nuclear norm which is the summation of the singular values.
matrices inequality trace
$endgroup$
add a comment |
$begingroup$
Let $A$ be a positive semi-definite matrix. How to show that Frobenius norm is less than trace of the matrix? Formally,
$$sqrt{text{Tr}(A^2)} leq text{Tr}(A)$$
Also, show when $A$ is an $n times m$ the following is true
$$sqrt{text{Tr}(A^TA)} leq |A|_*$$
where $|cdot|_*$ is nuclear norm which is the summation of the singular values.
matrices inequality trace
$endgroup$
Let $A$ be a positive semi-definite matrix. How to show that Frobenius norm is less than trace of the matrix? Formally,
$$sqrt{text{Tr}(A^2)} leq text{Tr}(A)$$
Also, show when $A$ is an $n times m$ the following is true
$$sqrt{text{Tr}(A^TA)} leq |A|_*$$
where $|cdot|_*$ is nuclear norm which is the summation of the singular values.
matrices inequality trace
matrices inequality trace
asked Jan 16 at 3:12
SaeedSaeed
1,036310
1,036310
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
$begingroup$
For the first you can assume that $A$ is diagonal with diagonal entries
$a_1,ldots,a_n$, all $ge0$. Then your inequality becomes
$$sum_{i=1}^n a_i^2leleft(sum_{i=1}^n a_iright)^2$$
which is clearly true on expanding the right side, recalling all variables
are non-negative.
$endgroup$
$begingroup$
How about the other?
$endgroup$
– Saeed
Jan 16 at 3:20
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How about applying the first to the psd square root of $A^TA$? @Saeed
$endgroup$
– Lord Shark the Unknown
Jan 16 at 3:25
add a comment |
$begingroup$
Let $sigma_1, ldots, sigma_r$ be the singular values of $A$.
Then
$$sqrt{text{Tr}(A^top A)} = sqrt{sum_i sigma^2_r} le sum_i |sigma_r| = |A|_*.$$
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add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
For the first you can assume that $A$ is diagonal with diagonal entries
$a_1,ldots,a_n$, all $ge0$. Then your inequality becomes
$$sum_{i=1}^n a_i^2leleft(sum_{i=1}^n a_iright)^2$$
which is clearly true on expanding the right side, recalling all variables
are non-negative.
$endgroup$
$begingroup$
How about the other?
$endgroup$
– Saeed
Jan 16 at 3:20
$begingroup$
How about applying the first to the psd square root of $A^TA$? @Saeed
$endgroup$
– Lord Shark the Unknown
Jan 16 at 3:25
add a comment |
$begingroup$
For the first you can assume that $A$ is diagonal with diagonal entries
$a_1,ldots,a_n$, all $ge0$. Then your inequality becomes
$$sum_{i=1}^n a_i^2leleft(sum_{i=1}^n a_iright)^2$$
which is clearly true on expanding the right side, recalling all variables
are non-negative.
$endgroup$
$begingroup$
How about the other?
$endgroup$
– Saeed
Jan 16 at 3:20
$begingroup$
How about applying the first to the psd square root of $A^TA$? @Saeed
$endgroup$
– Lord Shark the Unknown
Jan 16 at 3:25
add a comment |
$begingroup$
For the first you can assume that $A$ is diagonal with diagonal entries
$a_1,ldots,a_n$, all $ge0$. Then your inequality becomes
$$sum_{i=1}^n a_i^2leleft(sum_{i=1}^n a_iright)^2$$
which is clearly true on expanding the right side, recalling all variables
are non-negative.
$endgroup$
For the first you can assume that $A$ is diagonal with diagonal entries
$a_1,ldots,a_n$, all $ge0$. Then your inequality becomes
$$sum_{i=1}^n a_i^2leleft(sum_{i=1}^n a_iright)^2$$
which is clearly true on expanding the right side, recalling all variables
are non-negative.
answered Jan 16 at 3:18
Lord Shark the UnknownLord Shark the Unknown
105k1160132
105k1160132
$begingroup$
How about the other?
$endgroup$
– Saeed
Jan 16 at 3:20
$begingroup$
How about applying the first to the psd square root of $A^TA$? @Saeed
$endgroup$
– Lord Shark the Unknown
Jan 16 at 3:25
add a comment |
$begingroup$
How about the other?
$endgroup$
– Saeed
Jan 16 at 3:20
$begingroup$
How about applying the first to the psd square root of $A^TA$? @Saeed
$endgroup$
– Lord Shark the Unknown
Jan 16 at 3:25
$begingroup$
How about the other?
$endgroup$
– Saeed
Jan 16 at 3:20
$begingroup$
How about the other?
$endgroup$
– Saeed
Jan 16 at 3:20
$begingroup$
How about applying the first to the psd square root of $A^TA$? @Saeed
$endgroup$
– Lord Shark the Unknown
Jan 16 at 3:25
$begingroup$
How about applying the first to the psd square root of $A^TA$? @Saeed
$endgroup$
– Lord Shark the Unknown
Jan 16 at 3:25
add a comment |
$begingroup$
Let $sigma_1, ldots, sigma_r$ be the singular values of $A$.
Then
$$sqrt{text{Tr}(A^top A)} = sqrt{sum_i sigma^2_r} le sum_i |sigma_r| = |A|_*.$$
$endgroup$
add a comment |
$begingroup$
Let $sigma_1, ldots, sigma_r$ be the singular values of $A$.
Then
$$sqrt{text{Tr}(A^top A)} = sqrt{sum_i sigma^2_r} le sum_i |sigma_r| = |A|_*.$$
$endgroup$
add a comment |
$begingroup$
Let $sigma_1, ldots, sigma_r$ be the singular values of $A$.
Then
$$sqrt{text{Tr}(A^top A)} = sqrt{sum_i sigma^2_r} le sum_i |sigma_r| = |A|_*.$$
$endgroup$
Let $sigma_1, ldots, sigma_r$ be the singular values of $A$.
Then
$$sqrt{text{Tr}(A^top A)} = sqrt{sum_i sigma^2_r} le sum_i |sigma_r| = |A|_*.$$
answered Jan 16 at 3:26
angryavianangryavian
41.5k23381
41.5k23381
add a comment |
add a comment |
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