Is there any generalized version of Cauchy-Schwarz inequality?

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all. I want to ask your opinion about the following question:



Let $mathbfA in mathbbR^m times n$ be a matrix having full column-rank, and let $ mathbfu_1, cdots, mathbfu_r $ be the set of vectors in $mathbbR^n$ such that $ mathbfA mathbfu_1, cdots, mathbfA mathbfu_r $ is orthonormal. Then, does the following inequality hold true? Here, $mathbfA^T$ denotes the transpose of $mathbfA$.



beginalign
underseti=1oversetrsum | mathbfA^T mathbfA mathbfu_i |_2^2
&ge fracr^2
endalign



When $r=1$, then the above inequality clearly holds true by the well-known Cauchy-Schwarz inequality ($| mathbfA^T mathbfA mathbfu_1 |_2 cdot | mathbfu_1 |_2 ge langle mathbfA^T mathbfA mathbfu_1, mathbfu_1 rangle = | mathbfA mathbfu_1 |_2^2 = 1$).



How about the case for $r neq 1$?







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  • 1




    If you just want my opinion, I'd say it's fun to read.
    – mathworker21
    Aug 3 at 1:53










  • Hint: If $p_1, p_2, ldots, p_r, q_1, q_2, ldots, q_r$ are any $2r$ vectors in $mathbbR^n$, then $left(sum_i=1^r left|left|p_iright|right|_2^2right) left(sum_i=1^r left|left|q_iright|right|_2^2right) geq left(sum_i=1^r left< p_i, q_iright> right)^2$. This is a kind of vectorial version of the Cauchy-Schwarz inequality and follows easily from the usual Cauchy-Schwarz inequality. Now, apply this inequality to $p_i = mathbfA^T mathbfA u_i$ and $q_i = sum_j=1^r mathbfu_j$.
    – darij grinberg
    Aug 3 at 2:29











  • I appreciate your answer, but in this way, we only get $underseti=1oversetrsum | mathbfA^T mathbfA mathbfu_i |_2^2 ge fracr$.
    – user580055
    Aug 3 at 2:52










  • Ah, you're right.
    – darij grinberg
    Aug 4 at 16:34














up vote
1
down vote

favorite












all. I want to ask your opinion about the following question:



Let $mathbfA in mathbbR^m times n$ be a matrix having full column-rank, and let $ mathbfu_1, cdots, mathbfu_r $ be the set of vectors in $mathbbR^n$ such that $ mathbfA mathbfu_1, cdots, mathbfA mathbfu_r $ is orthonormal. Then, does the following inequality hold true? Here, $mathbfA^T$ denotes the transpose of $mathbfA$.



beginalign
underseti=1oversetrsum | mathbfA^T mathbfA mathbfu_i |_2^2
&ge fracr^2
endalign



When $r=1$, then the above inequality clearly holds true by the well-known Cauchy-Schwarz inequality ($| mathbfA^T mathbfA mathbfu_1 |_2 cdot | mathbfu_1 |_2 ge langle mathbfA^T mathbfA mathbfu_1, mathbfu_1 rangle = | mathbfA mathbfu_1 |_2^2 = 1$).



How about the case for $r neq 1$?







share|cite|improve this question















  • 1




    If you just want my opinion, I'd say it's fun to read.
    – mathworker21
    Aug 3 at 1:53










  • Hint: If $p_1, p_2, ldots, p_r, q_1, q_2, ldots, q_r$ are any $2r$ vectors in $mathbbR^n$, then $left(sum_i=1^r left|left|p_iright|right|_2^2right) left(sum_i=1^r left|left|q_iright|right|_2^2right) geq left(sum_i=1^r left< p_i, q_iright> right)^2$. This is a kind of vectorial version of the Cauchy-Schwarz inequality and follows easily from the usual Cauchy-Schwarz inequality. Now, apply this inequality to $p_i = mathbfA^T mathbfA u_i$ and $q_i = sum_j=1^r mathbfu_j$.
    – darij grinberg
    Aug 3 at 2:29











  • I appreciate your answer, but in this way, we only get $underseti=1oversetrsum | mathbfA^T mathbfA mathbfu_i |_2^2 ge fracr$.
    – user580055
    Aug 3 at 2:52










  • Ah, you're right.
    – darij grinberg
    Aug 4 at 16:34












up vote
1
down vote

favorite









up vote
1
down vote

favorite











all. I want to ask your opinion about the following question:



Let $mathbfA in mathbbR^m times n$ be a matrix having full column-rank, and let $ mathbfu_1, cdots, mathbfu_r $ be the set of vectors in $mathbbR^n$ such that $ mathbfA mathbfu_1, cdots, mathbfA mathbfu_r $ is orthonormal. Then, does the following inequality hold true? Here, $mathbfA^T$ denotes the transpose of $mathbfA$.



beginalign
underseti=1oversetrsum | mathbfA^T mathbfA mathbfu_i |_2^2
&ge fracr^2
endalign



When $r=1$, then the above inequality clearly holds true by the well-known Cauchy-Schwarz inequality ($| mathbfA^T mathbfA mathbfu_1 |_2 cdot | mathbfu_1 |_2 ge langle mathbfA^T mathbfA mathbfu_1, mathbfu_1 rangle = | mathbfA mathbfu_1 |_2^2 = 1$).



How about the case for $r neq 1$?







share|cite|improve this question











all. I want to ask your opinion about the following question:



Let $mathbfA in mathbbR^m times n$ be a matrix having full column-rank, and let $ mathbfu_1, cdots, mathbfu_r $ be the set of vectors in $mathbbR^n$ such that $ mathbfA mathbfu_1, cdots, mathbfA mathbfu_r $ is orthonormal. Then, does the following inequality hold true? Here, $mathbfA^T$ denotes the transpose of $mathbfA$.



beginalign
underseti=1oversetrsum | mathbfA^T mathbfA mathbfu_i |_2^2
&ge fracr^2
endalign



When $r=1$, then the above inequality clearly holds true by the well-known Cauchy-Schwarz inequality ($| mathbfA^T mathbfA mathbfu_1 |_2 cdot | mathbfu_1 |_2 ge langle mathbfA^T mathbfA mathbfu_1, mathbfu_1 rangle = | mathbfA mathbfu_1 |_2^2 = 1$).



How about the case for $r neq 1$?









share|cite|improve this question










share|cite|improve this question




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asked Aug 3 at 1:49









user580055

213




213







  • 1




    If you just want my opinion, I'd say it's fun to read.
    – mathworker21
    Aug 3 at 1:53










  • Hint: If $p_1, p_2, ldots, p_r, q_1, q_2, ldots, q_r$ are any $2r$ vectors in $mathbbR^n$, then $left(sum_i=1^r left|left|p_iright|right|_2^2right) left(sum_i=1^r left|left|q_iright|right|_2^2right) geq left(sum_i=1^r left< p_i, q_iright> right)^2$. This is a kind of vectorial version of the Cauchy-Schwarz inequality and follows easily from the usual Cauchy-Schwarz inequality. Now, apply this inequality to $p_i = mathbfA^T mathbfA u_i$ and $q_i = sum_j=1^r mathbfu_j$.
    – darij grinberg
    Aug 3 at 2:29











  • I appreciate your answer, but in this way, we only get $underseti=1oversetrsum | mathbfA^T mathbfA mathbfu_i |_2^2 ge fracr$.
    – user580055
    Aug 3 at 2:52










  • Ah, you're right.
    – darij grinberg
    Aug 4 at 16:34












  • 1




    If you just want my opinion, I'd say it's fun to read.
    – mathworker21
    Aug 3 at 1:53










  • Hint: If $p_1, p_2, ldots, p_r, q_1, q_2, ldots, q_r$ are any $2r$ vectors in $mathbbR^n$, then $left(sum_i=1^r left|left|p_iright|right|_2^2right) left(sum_i=1^r left|left|q_iright|right|_2^2right) geq left(sum_i=1^r left< p_i, q_iright> right)^2$. This is a kind of vectorial version of the Cauchy-Schwarz inequality and follows easily from the usual Cauchy-Schwarz inequality. Now, apply this inequality to $p_i = mathbfA^T mathbfA u_i$ and $q_i = sum_j=1^r mathbfu_j$.
    – darij grinberg
    Aug 3 at 2:29











  • I appreciate your answer, but in this way, we only get $underseti=1oversetrsum | mathbfA^T mathbfA mathbfu_i |_2^2 ge fracr$.
    – user580055
    Aug 3 at 2:52










  • Ah, you're right.
    – darij grinberg
    Aug 4 at 16:34







1




1




If you just want my opinion, I'd say it's fun to read.
– mathworker21
Aug 3 at 1:53




If you just want my opinion, I'd say it's fun to read.
– mathworker21
Aug 3 at 1:53












Hint: If $p_1, p_2, ldots, p_r, q_1, q_2, ldots, q_r$ are any $2r$ vectors in $mathbbR^n$, then $left(sum_i=1^r left|left|p_iright|right|_2^2right) left(sum_i=1^r left|left|q_iright|right|_2^2right) geq left(sum_i=1^r left< p_i, q_iright> right)^2$. This is a kind of vectorial version of the Cauchy-Schwarz inequality and follows easily from the usual Cauchy-Schwarz inequality. Now, apply this inequality to $p_i = mathbfA^T mathbfA u_i$ and $q_i = sum_j=1^r mathbfu_j$.
– darij grinberg
Aug 3 at 2:29





Hint: If $p_1, p_2, ldots, p_r, q_1, q_2, ldots, q_r$ are any $2r$ vectors in $mathbbR^n$, then $left(sum_i=1^r left|left|p_iright|right|_2^2right) left(sum_i=1^r left|left|q_iright|right|_2^2right) geq left(sum_i=1^r left< p_i, q_iright> right)^2$. This is a kind of vectorial version of the Cauchy-Schwarz inequality and follows easily from the usual Cauchy-Schwarz inequality. Now, apply this inequality to $p_i = mathbfA^T mathbfA u_i$ and $q_i = sum_j=1^r mathbfu_j$.
– darij grinberg
Aug 3 at 2:29













I appreciate your answer, but in this way, we only get $underseti=1oversetrsum | mathbfA^T mathbfA mathbfu_i |_2^2 ge fracr$.
– user580055
Aug 3 at 2:52




I appreciate your answer, but in this way, we only get $underseti=1oversetrsum | mathbfA^T mathbfA mathbfu_i |_2^2 ge fracr$.
– user580055
Aug 3 at 2:52












Ah, you're right.
– darij grinberg
Aug 4 at 16:34




Ah, you're right.
– darij grinberg
Aug 4 at 16:34















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