Discrete Chebyshev inequality as double projection Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Prove this inequality: $|a_1b_1+a_2b_2+cdots+ a_nb_n|leq 1$ for two normalised vectors Prove $|a_1b_1+a_2b_2+cdotcdotcdot + a_nb_n|leq 1$Proving Cauchy's inequality: Is this going to work?Product of Sum equal to Sum of ProductHow can I prove this inequality using Cauchy's inequality?How can we find minimum of $f(x,y,z)?$Prove something similar to a variant of Cauchy-Shwarz inequalitySum of Absolute Differences InequalityElementary algebra: inequalitiesProve inequality $sum_k=1^nfraca_kb_ka_k+b_kle fracABA+B$

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Discrete Chebyshev inequality as double projection



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Prove this inequality: $|a_1b_1+a_2b_2+cdots+ a_nb_n|leq 1$ for two normalised vectors Prove $|a_1b_1+a_2b_2+cdotcdotcdot + a_nb_n|leq 1$Proving Cauchy's inequality: Is this going to work?Product of Sum equal to Sum of ProductHow can I prove this inequality using Cauchy's inequality?How can we find minimum of $f(x,y,z)?$Prove something similar to a variant of Cauchy-Shwarz inequalitySum of Absolute Differences InequalityElementary algebra: inequalitiesProve inequality $sum_k=1^nfraca_kb_ka_k+b_kle fracABA+B$










0












$begingroup$


Let $a_1< a_2<ldots< a_n$ and $b_1, b_2, ldots, b_n$ be real numbers. Then
beginalign*
&b_1< b_2< ldots< b_nRightarrow fraca_1b_1 + a_2b_2 +ldots + a_nb_nn> fraca_1 + a_2 + ldots + a_nncdotfracb_1 + b_2 + ldots + b_nn,\
&b_1> b_2> ldots> b_nRightarrow fraca_1b_1 + a_2b_2 +ldots + a_nb_nn < fraca_1 + a_2 + ldots + a_nncdotfracb_1 + b_2 + ldots + b_nn.
endalign*

Another way to view Chebyshev's Inequality:
$$
fracvec acdotvec bngeq fracvec acdotvec uncdotfracvec bcdotvec un,
$$

where $vec u = (1,1,ldots,1)$. If $theta$ is the angle between $vec a$ and $vec b$ and $alpha$ and $beta$ are the angles between $vec a$ and $vec u$ and $vec b$ and $vec u$, respectively, we have
$$
|vec a|cdot|vec b|costhetageq |vec a|cdot|vec b|cosalphacosbetaLeftrightarrowcosthetageqcosalphacosbeta.
$$

The LHS represents projection of a unit vector onto some line $l$, while RHS represents projection of a unit vector onto some third line $m$ and then projection of that image onto $l$. I'm looking for a neat intuitive explanation of this inequality, but I'll settle for explanations that involve higher math. Also, there should be a generalization:
Let $X,Y,Z$ be spaces and let $s$ be a set in $X$. Then projection of $s$ onto $Z$, $pi_Z(s)$, has volume at least as large as $pi_Z(pi_Y(s))$. Thanks.










share|cite|improve this question









$endgroup$
















    0












    $begingroup$


    Let $a_1< a_2<ldots< a_n$ and $b_1, b_2, ldots, b_n$ be real numbers. Then
    beginalign*
    &b_1< b_2< ldots< b_nRightarrow fraca_1b_1 + a_2b_2 +ldots + a_nb_nn> fraca_1 + a_2 + ldots + a_nncdotfracb_1 + b_2 + ldots + b_nn,\
    &b_1> b_2> ldots> b_nRightarrow fraca_1b_1 + a_2b_2 +ldots + a_nb_nn < fraca_1 + a_2 + ldots + a_nncdotfracb_1 + b_2 + ldots + b_nn.
    endalign*

    Another way to view Chebyshev's Inequality:
    $$
    fracvec acdotvec bngeq fracvec acdotvec uncdotfracvec bcdotvec un,
    $$

    where $vec u = (1,1,ldots,1)$. If $theta$ is the angle between $vec a$ and $vec b$ and $alpha$ and $beta$ are the angles between $vec a$ and $vec u$ and $vec b$ and $vec u$, respectively, we have
    $$
    |vec a|cdot|vec b|costhetageq |vec a|cdot|vec b|cosalphacosbetaLeftrightarrowcosthetageqcosalphacosbeta.
    $$

    The LHS represents projection of a unit vector onto some line $l$, while RHS represents projection of a unit vector onto some third line $m$ and then projection of that image onto $l$. I'm looking for a neat intuitive explanation of this inequality, but I'll settle for explanations that involve higher math. Also, there should be a generalization:
    Let $X,Y,Z$ be spaces and let $s$ be a set in $X$. Then projection of $s$ onto $Z$, $pi_Z(s)$, has volume at least as large as $pi_Z(pi_Y(s))$. Thanks.










    share|cite|improve this question









    $endgroup$














      0












      0








      0





      $begingroup$


      Let $a_1< a_2<ldots< a_n$ and $b_1, b_2, ldots, b_n$ be real numbers. Then
      beginalign*
      &b_1< b_2< ldots< b_nRightarrow fraca_1b_1 + a_2b_2 +ldots + a_nb_nn> fraca_1 + a_2 + ldots + a_nncdotfracb_1 + b_2 + ldots + b_nn,\
      &b_1> b_2> ldots> b_nRightarrow fraca_1b_1 + a_2b_2 +ldots + a_nb_nn < fraca_1 + a_2 + ldots + a_nncdotfracb_1 + b_2 + ldots + b_nn.
      endalign*

      Another way to view Chebyshev's Inequality:
      $$
      fracvec acdotvec bngeq fracvec acdotvec uncdotfracvec bcdotvec un,
      $$

      where $vec u = (1,1,ldots,1)$. If $theta$ is the angle between $vec a$ and $vec b$ and $alpha$ and $beta$ are the angles between $vec a$ and $vec u$ and $vec b$ and $vec u$, respectively, we have
      $$
      |vec a|cdot|vec b|costhetageq |vec a|cdot|vec b|cosalphacosbetaLeftrightarrowcosthetageqcosalphacosbeta.
      $$

      The LHS represents projection of a unit vector onto some line $l$, while RHS represents projection of a unit vector onto some third line $m$ and then projection of that image onto $l$. I'm looking for a neat intuitive explanation of this inequality, but I'll settle for explanations that involve higher math. Also, there should be a generalization:
      Let $X,Y,Z$ be spaces and let $s$ be a set in $X$. Then projection of $s$ onto $Z$, $pi_Z(s)$, has volume at least as large as $pi_Z(pi_Y(s))$. Thanks.










      share|cite|improve this question









      $endgroup$




      Let $a_1< a_2<ldots< a_n$ and $b_1, b_2, ldots, b_n$ be real numbers. Then
      beginalign*
      &b_1< b_2< ldots< b_nRightarrow fraca_1b_1 + a_2b_2 +ldots + a_nb_nn> fraca_1 + a_2 + ldots + a_nncdotfracb_1 + b_2 + ldots + b_nn,\
      &b_1> b_2> ldots> b_nRightarrow fraca_1b_1 + a_2b_2 +ldots + a_nb_nn < fraca_1 + a_2 + ldots + a_nncdotfracb_1 + b_2 + ldots + b_nn.
      endalign*

      Another way to view Chebyshev's Inequality:
      $$
      fracvec acdotvec bngeq fracvec acdotvec uncdotfracvec bcdotvec un,
      $$

      where $vec u = (1,1,ldots,1)$. If $theta$ is the angle between $vec a$ and $vec b$ and $alpha$ and $beta$ are the angles between $vec a$ and $vec u$ and $vec b$ and $vec u$, respectively, we have
      $$
      |vec a|cdot|vec b|costhetageq |vec a|cdot|vec b|cosalphacosbetaLeftrightarrowcosthetageqcosalphacosbeta.
      $$

      The LHS represents projection of a unit vector onto some line $l$, while RHS represents projection of a unit vector onto some third line $m$ and then projection of that image onto $l$. I'm looking for a neat intuitive explanation of this inequality, but I'll settle for explanations that involve higher math. Also, there should be a generalization:
      Let $X,Y,Z$ be spaces and let $s$ be a set in $X$. Then projection of $s$ onto $Z$, $pi_Z(s)$, has volume at least as large as $pi_Z(pi_Y(s))$. Thanks.







      inequality projection






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      asked Apr 8 at 20:25









      Misha ShklyarMisha Shklyar

      255




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          1 Answer
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          $begingroup$

          I have an answer to the special case:
          First, assume that $alpha + beta = theta$. I.e., that the intermediate projection line $m$ lies in the same plane as the unit vector and $l$. Then
          $$
          costheta = cos(alpha+beta) = cosalphacosbeta - sinalphasinbeta geqcosalphacosbeta,
          $$

          since $alpha,betain[0,pi]$ and $sin x$ is non-negative in that interval. Now as we continuously move $m$ out of the plane, $alpha + beta$ increases to at most $2pi - theta$ and $cos x leqcostheta$ for $xin[theta,2pi-theta]$.
          However, it would be nice to have a more intuitive solution as well as a generalization.






          share|cite|improve this answer









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            0












            $begingroup$

            I have an answer to the special case:
            First, assume that $alpha + beta = theta$. I.e., that the intermediate projection line $m$ lies in the same plane as the unit vector and $l$. Then
            $$
            costheta = cos(alpha+beta) = cosalphacosbeta - sinalphasinbeta geqcosalphacosbeta,
            $$

            since $alpha,betain[0,pi]$ and $sin x$ is non-negative in that interval. Now as we continuously move $m$ out of the plane, $alpha + beta$ increases to at most $2pi - theta$ and $cos x leqcostheta$ for $xin[theta,2pi-theta]$.
            However, it would be nice to have a more intuitive solution as well as a generalization.






            share|cite|improve this answer









            $endgroup$

















              0












              $begingroup$

              I have an answer to the special case:
              First, assume that $alpha + beta = theta$. I.e., that the intermediate projection line $m$ lies in the same plane as the unit vector and $l$. Then
              $$
              costheta = cos(alpha+beta) = cosalphacosbeta - sinalphasinbeta geqcosalphacosbeta,
              $$

              since $alpha,betain[0,pi]$ and $sin x$ is non-negative in that interval. Now as we continuously move $m$ out of the plane, $alpha + beta$ increases to at most $2pi - theta$ and $cos x leqcostheta$ for $xin[theta,2pi-theta]$.
              However, it would be nice to have a more intuitive solution as well as a generalization.






              share|cite|improve this answer









              $endgroup$















                0












                0








                0





                $begingroup$

                I have an answer to the special case:
                First, assume that $alpha + beta = theta$. I.e., that the intermediate projection line $m$ lies in the same plane as the unit vector and $l$. Then
                $$
                costheta = cos(alpha+beta) = cosalphacosbeta - sinalphasinbeta geqcosalphacosbeta,
                $$

                since $alpha,betain[0,pi]$ and $sin x$ is non-negative in that interval. Now as we continuously move $m$ out of the plane, $alpha + beta$ increases to at most $2pi - theta$ and $cos x leqcostheta$ for $xin[theta,2pi-theta]$.
                However, it would be nice to have a more intuitive solution as well as a generalization.






                share|cite|improve this answer









                $endgroup$



                I have an answer to the special case:
                First, assume that $alpha + beta = theta$. I.e., that the intermediate projection line $m$ lies in the same plane as the unit vector and $l$. Then
                $$
                costheta = cos(alpha+beta) = cosalphacosbeta - sinalphasinbeta geqcosalphacosbeta,
                $$

                since $alpha,betain[0,pi]$ and $sin x$ is non-negative in that interval. Now as we continuously move $m$ out of the plane, $alpha + beta$ increases to at most $2pi - theta$ and $cos x leqcostheta$ for $xin[theta,2pi-theta]$.
                However, it would be nice to have a more intuitive solution as well as a generalization.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Apr 9 at 2:13









                Misha ShklyarMisha Shklyar

                255




                255



























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