the expected norm of matrices with sub-gaussian entries












-2












$begingroup$


It is the exercise 4.4.6 in the book High-dimension-probability, https://www.math.uci.edu/~rvershyn/papers/HDP-book/HDP-book.pdf

Given the theorem that $$Prob{||A||>CK(sqrt m + sqrt n +t)} leq 2exp(-t^2)\for~t > 0$$

In results like this, C and c will always denote some positive absolute constants



Prove that $$E||A|| leq CK(sqrt m + sqrt n)$$

The book gives the hint that it can be solved directly by using the theorem above.
So I tried to calculate out the expection of operator norm of A:$$E||A||=int_0^{CK(sqrt m + sqrt n)}P(||A||>a)da + int_{CK(sqrt m + sqrt n)}^infty P(||A||>a)da\ leq int_0^{CK(sqrt m + sqrt n)}P(||A||>a)da + int_0^infty 2exp(-t^2)dt \ = int_0^{CK(sqrt m + sqrt n)}P(||A||>t)dt + sqrt pi$$



And I get stuck here. It seems not a right direction because I don't know the structure when t is smaller than 0.



Hint or helpful material are welcome.










share|cite|improve this question











$endgroup$












  • $begingroup$
    Hi, and welcome to M.SE. Questions posed as:-"This is an exercise: solve it for me" are poorly received from other members. I you want to help other members help you, provide context for your question: for example, what did you tried to solve it? And where you get stuck?
    $endgroup$
    – Daniele Tampieri
    Jan 7 at 6:57










  • $begingroup$
    A complete qustion would include: 1. the book's mention that " In results like this, C and c will always denote some positive absolute constants", and 2. your own attempts. Where are they?
    $endgroup$
    – Did
    Jan 7 at 7:10










  • $begingroup$
    changes have been made. any suggestions?
    $endgroup$
    – Dylon
    Jan 7 at 7:59
















-2












$begingroup$


It is the exercise 4.4.6 in the book High-dimension-probability, https://www.math.uci.edu/~rvershyn/papers/HDP-book/HDP-book.pdf

Given the theorem that $$Prob{||A||>CK(sqrt m + sqrt n +t)} leq 2exp(-t^2)\for~t > 0$$

In results like this, C and c will always denote some positive absolute constants



Prove that $$E||A|| leq CK(sqrt m + sqrt n)$$

The book gives the hint that it can be solved directly by using the theorem above.
So I tried to calculate out the expection of operator norm of A:$$E||A||=int_0^{CK(sqrt m + sqrt n)}P(||A||>a)da + int_{CK(sqrt m + sqrt n)}^infty P(||A||>a)da\ leq int_0^{CK(sqrt m + sqrt n)}P(||A||>a)da + int_0^infty 2exp(-t^2)dt \ = int_0^{CK(sqrt m + sqrt n)}P(||A||>t)dt + sqrt pi$$



And I get stuck here. It seems not a right direction because I don't know the structure when t is smaller than 0.



Hint or helpful material are welcome.










share|cite|improve this question











$endgroup$












  • $begingroup$
    Hi, and welcome to M.SE. Questions posed as:-"This is an exercise: solve it for me" are poorly received from other members. I you want to help other members help you, provide context for your question: for example, what did you tried to solve it? And where you get stuck?
    $endgroup$
    – Daniele Tampieri
    Jan 7 at 6:57










  • $begingroup$
    A complete qustion would include: 1. the book's mention that " In results like this, C and c will always denote some positive absolute constants", and 2. your own attempts. Where are they?
    $endgroup$
    – Did
    Jan 7 at 7:10










  • $begingroup$
    changes have been made. any suggestions?
    $endgroup$
    – Dylon
    Jan 7 at 7:59














-2












-2








-2





$begingroup$


It is the exercise 4.4.6 in the book High-dimension-probability, https://www.math.uci.edu/~rvershyn/papers/HDP-book/HDP-book.pdf

Given the theorem that $$Prob{||A||>CK(sqrt m + sqrt n +t)} leq 2exp(-t^2)\for~t > 0$$

In results like this, C and c will always denote some positive absolute constants



Prove that $$E||A|| leq CK(sqrt m + sqrt n)$$

The book gives the hint that it can be solved directly by using the theorem above.
So I tried to calculate out the expection of operator norm of A:$$E||A||=int_0^{CK(sqrt m + sqrt n)}P(||A||>a)da + int_{CK(sqrt m + sqrt n)}^infty P(||A||>a)da\ leq int_0^{CK(sqrt m + sqrt n)}P(||A||>a)da + int_0^infty 2exp(-t^2)dt \ = int_0^{CK(sqrt m + sqrt n)}P(||A||>t)dt + sqrt pi$$



And I get stuck here. It seems not a right direction because I don't know the structure when t is smaller than 0.



Hint or helpful material are welcome.










share|cite|improve this question











$endgroup$




It is the exercise 4.4.6 in the book High-dimension-probability, https://www.math.uci.edu/~rvershyn/papers/HDP-book/HDP-book.pdf

Given the theorem that $$Prob{||A||>CK(sqrt m + sqrt n +t)} leq 2exp(-t^2)\for~t > 0$$

In results like this, C and c will always denote some positive absolute constants



Prove that $$E||A|| leq CK(sqrt m + sqrt n)$$

The book gives the hint that it can be solved directly by using the theorem above.
So I tried to calculate out the expection of operator norm of A:$$E||A||=int_0^{CK(sqrt m + sqrt n)}P(||A||>a)da + int_{CK(sqrt m + sqrt n)}^infty P(||A||>a)da\ leq int_0^{CK(sqrt m + sqrt n)}P(||A||>a)da + int_0^infty 2exp(-t^2)dt \ = int_0^{CK(sqrt m + sqrt n)}P(||A||>t)dt + sqrt pi$$



And I get stuck here. It seems not a right direction because I don't know the structure when t is smaller than 0.



Hint or helpful material are welcome.







probability statistics






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Jan 7 at 7:58







Dylon

















asked Jan 7 at 6:38









DylonDylon

62




62












  • $begingroup$
    Hi, and welcome to M.SE. Questions posed as:-"This is an exercise: solve it for me" are poorly received from other members. I you want to help other members help you, provide context for your question: for example, what did you tried to solve it? And where you get stuck?
    $endgroup$
    – Daniele Tampieri
    Jan 7 at 6:57










  • $begingroup$
    A complete qustion would include: 1. the book's mention that " In results like this, C and c will always denote some positive absolute constants", and 2. your own attempts. Where are they?
    $endgroup$
    – Did
    Jan 7 at 7:10










  • $begingroup$
    changes have been made. any suggestions?
    $endgroup$
    – Dylon
    Jan 7 at 7:59


















  • $begingroup$
    Hi, and welcome to M.SE. Questions posed as:-"This is an exercise: solve it for me" are poorly received from other members. I you want to help other members help you, provide context for your question: for example, what did you tried to solve it? And where you get stuck?
    $endgroup$
    – Daniele Tampieri
    Jan 7 at 6:57










  • $begingroup$
    A complete qustion would include: 1. the book's mention that " In results like this, C and c will always denote some positive absolute constants", and 2. your own attempts. Where are they?
    $endgroup$
    – Did
    Jan 7 at 7:10










  • $begingroup$
    changes have been made. any suggestions?
    $endgroup$
    – Dylon
    Jan 7 at 7:59
















$begingroup$
Hi, and welcome to M.SE. Questions posed as:-"This is an exercise: solve it for me" are poorly received from other members. I you want to help other members help you, provide context for your question: for example, what did you tried to solve it? And where you get stuck?
$endgroup$
– Daniele Tampieri
Jan 7 at 6:57




$begingroup$
Hi, and welcome to M.SE. Questions posed as:-"This is an exercise: solve it for me" are poorly received from other members. I you want to help other members help you, provide context for your question: for example, what did you tried to solve it? And where you get stuck?
$endgroup$
– Daniele Tampieri
Jan 7 at 6:57












$begingroup$
A complete qustion would include: 1. the book's mention that " In results like this, C and c will always denote some positive absolute constants", and 2. your own attempts. Where are they?
$endgroup$
– Did
Jan 7 at 7:10




$begingroup$
A complete qustion would include: 1. the book's mention that " In results like this, C and c will always denote some positive absolute constants", and 2. your own attempts. Where are they?
$endgroup$
– Did
Jan 7 at 7:10












$begingroup$
changes have been made. any suggestions?
$endgroup$
– Dylon
Jan 7 at 7:59




$begingroup$
changes have been made. any suggestions?
$endgroup$
– Dylon
Jan 7 at 7:59










1 Answer
1






active

oldest

votes


















0












$begingroup$

The question asks to show that, if $Xgeqslant0$ almost surely and $$P(Xgeqslant c+x)leqslant2e^{-x^2}$$ for some nonnegative $c$, for every nonnegative $x$, then $E(X)leqslant c$ (simply use $X=|A|/CK$ and $c=sqrt m+sqrt n$). Without further properties of $X$, this does not hold. But one has $$E(X)=int_0^infty P(Xgeqslant x)dxleqslantint_0^cdx+int_0^infty P(Xgeqslant c+x)dx$$ which leads to $$E(X)leqslant c+int_0^infty 2e^{-x^2}dx=c+sqrtpi$$ One can refine this slightly, replacing the bound $2e^{-x^2}$ by $$min{1,2e^{-x^2}}$$ but this will not yield $E(X)leqslant c$, only $E(X)leqslant c+$some other absolute constant.



However, if $m$ and $n$ are positive integers, then $$sqrt m+sqrt ngeqslant2>sqrtpi$$ hence, in the original notations, one gets $$E(|A|)leqslant C'K(sqrt m+sqrt n)$$ with $$C'=2C$$ In view of the book's mention that "In results like this, C and c will always denote some positive absolute constants" (whose exact values may vary from line to line, as one usually adds), this last inequality might be what the authors had in mind.






share|cite|improve this answer









$endgroup$













  • $begingroup$
    Thanks. It seems clear now when constant C is clarified.
    $endgroup$
    – Dylon
    Jan 10 at 5:58











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1 Answer
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1 Answer
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active

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active

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0












$begingroup$

The question asks to show that, if $Xgeqslant0$ almost surely and $$P(Xgeqslant c+x)leqslant2e^{-x^2}$$ for some nonnegative $c$, for every nonnegative $x$, then $E(X)leqslant c$ (simply use $X=|A|/CK$ and $c=sqrt m+sqrt n$). Without further properties of $X$, this does not hold. But one has $$E(X)=int_0^infty P(Xgeqslant x)dxleqslantint_0^cdx+int_0^infty P(Xgeqslant c+x)dx$$ which leads to $$E(X)leqslant c+int_0^infty 2e^{-x^2}dx=c+sqrtpi$$ One can refine this slightly, replacing the bound $2e^{-x^2}$ by $$min{1,2e^{-x^2}}$$ but this will not yield $E(X)leqslant c$, only $E(X)leqslant c+$some other absolute constant.



However, if $m$ and $n$ are positive integers, then $$sqrt m+sqrt ngeqslant2>sqrtpi$$ hence, in the original notations, one gets $$E(|A|)leqslant C'K(sqrt m+sqrt n)$$ with $$C'=2C$$ In view of the book's mention that "In results like this, C and c will always denote some positive absolute constants" (whose exact values may vary from line to line, as one usually adds), this last inequality might be what the authors had in mind.






share|cite|improve this answer









$endgroup$













  • $begingroup$
    Thanks. It seems clear now when constant C is clarified.
    $endgroup$
    – Dylon
    Jan 10 at 5:58
















0












$begingroup$

The question asks to show that, if $Xgeqslant0$ almost surely and $$P(Xgeqslant c+x)leqslant2e^{-x^2}$$ for some nonnegative $c$, for every nonnegative $x$, then $E(X)leqslant c$ (simply use $X=|A|/CK$ and $c=sqrt m+sqrt n$). Without further properties of $X$, this does not hold. But one has $$E(X)=int_0^infty P(Xgeqslant x)dxleqslantint_0^cdx+int_0^infty P(Xgeqslant c+x)dx$$ which leads to $$E(X)leqslant c+int_0^infty 2e^{-x^2}dx=c+sqrtpi$$ One can refine this slightly, replacing the bound $2e^{-x^2}$ by $$min{1,2e^{-x^2}}$$ but this will not yield $E(X)leqslant c$, only $E(X)leqslant c+$some other absolute constant.



However, if $m$ and $n$ are positive integers, then $$sqrt m+sqrt ngeqslant2>sqrtpi$$ hence, in the original notations, one gets $$E(|A|)leqslant C'K(sqrt m+sqrt n)$$ with $$C'=2C$$ In view of the book's mention that "In results like this, C and c will always denote some positive absolute constants" (whose exact values may vary from line to line, as one usually adds), this last inequality might be what the authors had in mind.






share|cite|improve this answer









$endgroup$













  • $begingroup$
    Thanks. It seems clear now when constant C is clarified.
    $endgroup$
    – Dylon
    Jan 10 at 5:58














0












0








0





$begingroup$

The question asks to show that, if $Xgeqslant0$ almost surely and $$P(Xgeqslant c+x)leqslant2e^{-x^2}$$ for some nonnegative $c$, for every nonnegative $x$, then $E(X)leqslant c$ (simply use $X=|A|/CK$ and $c=sqrt m+sqrt n$). Without further properties of $X$, this does not hold. But one has $$E(X)=int_0^infty P(Xgeqslant x)dxleqslantint_0^cdx+int_0^infty P(Xgeqslant c+x)dx$$ which leads to $$E(X)leqslant c+int_0^infty 2e^{-x^2}dx=c+sqrtpi$$ One can refine this slightly, replacing the bound $2e^{-x^2}$ by $$min{1,2e^{-x^2}}$$ but this will not yield $E(X)leqslant c$, only $E(X)leqslant c+$some other absolute constant.



However, if $m$ and $n$ are positive integers, then $$sqrt m+sqrt ngeqslant2>sqrtpi$$ hence, in the original notations, one gets $$E(|A|)leqslant C'K(sqrt m+sqrt n)$$ with $$C'=2C$$ In view of the book's mention that "In results like this, C and c will always denote some positive absolute constants" (whose exact values may vary from line to line, as one usually adds), this last inequality might be what the authors had in mind.






share|cite|improve this answer









$endgroup$



The question asks to show that, if $Xgeqslant0$ almost surely and $$P(Xgeqslant c+x)leqslant2e^{-x^2}$$ for some nonnegative $c$, for every nonnegative $x$, then $E(X)leqslant c$ (simply use $X=|A|/CK$ and $c=sqrt m+sqrt n$). Without further properties of $X$, this does not hold. But one has $$E(X)=int_0^infty P(Xgeqslant x)dxleqslantint_0^cdx+int_0^infty P(Xgeqslant c+x)dx$$ which leads to $$E(X)leqslant c+int_0^infty 2e^{-x^2}dx=c+sqrtpi$$ One can refine this slightly, replacing the bound $2e^{-x^2}$ by $$min{1,2e^{-x^2}}$$ but this will not yield $E(X)leqslant c$, only $E(X)leqslant c+$some other absolute constant.



However, if $m$ and $n$ are positive integers, then $$sqrt m+sqrt ngeqslant2>sqrtpi$$ hence, in the original notations, one gets $$E(|A|)leqslant C'K(sqrt m+sqrt n)$$ with $$C'=2C$$ In view of the book's mention that "In results like this, C and c will always denote some positive absolute constants" (whose exact values may vary from line to line, as one usually adds), this last inequality might be what the authors had in mind.







share|cite|improve this answer












share|cite|improve this answer



share|cite|improve this answer










answered Jan 7 at 13:55









DidDid

247k23222458




247k23222458












  • $begingroup$
    Thanks. It seems clear now when constant C is clarified.
    $endgroup$
    – Dylon
    Jan 10 at 5:58


















  • $begingroup$
    Thanks. It seems clear now when constant C is clarified.
    $endgroup$
    – Dylon
    Jan 10 at 5:58
















$begingroup$
Thanks. It seems clear now when constant C is clarified.
$endgroup$
– Dylon
Jan 10 at 5:58




$begingroup$
Thanks. It seems clear now when constant C is clarified.
$endgroup$
– Dylon
Jan 10 at 5:58


















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