Generalized AM-GM Inequality












4














I was discussing means with my friend, and I tried to illustrate the concept of geometric mean using the following idea:




Suppose we have two positive quantities $x,y>0$. The simplest geometric object we can make out of those is an $x times y$ rectangle. What if we want a regular rectangle (i.e., a square) that "best approximates this rectangle"?




One possibility is a square of side length $$ell_1 =frac{x+y}{2} ,$$
keeping the perimeter the same at $2x+2y$. Another candidate is
$$ell_2 =sqrt{xy} ,$$
this time keeping the area the same at $xy$.



I then realized I can generalize this idea to higher dimensions: If we have three positive numbers $x,y,z>0$, consider a $x times y times z$ rectangle, and a cube whose side $ell$ is to be decided:




  • Keeping the 1-dimensional "length-of-the-skeleton" the same we get
    $$4x+4y+4z=12 ell_1 implies ell_1=frac{x+y+z}{3}. $$

  • Keeping the 2-dimensional area of the faces the same we get
    $$2xy+2xz+2yz=6ell_2^2 implies ell_2=sqrt{frac{xy+xz+yz}{3}}.$$

  • Keeping the 3-dimensional volume the same we get
    $$x y z =ell_3^3 implies ell_3=sqrt[3]{x y z}.$$


Notice that among the usual arithmetic and geometric means, a different kind of mean has popped up.



This idea can go further, using "$n$-orthotopes" or hyperrectangles, producing $n$ distinct means from any sequence $x_1,dots,x_n$ of positive quantities:



For $1 leq d leq n$ let $e_d(x_1,dots, x_n)$ denote the elementary symmetric polynomial on $n$ symbols of degree $d$. We define
$$ell_d(x_1,dots,x_n) := sqrt[d]{frac{e_d(x_1,dots,x_n)}{binom{n}{d}}}.$$



I have two questions about this:




  1. Is this concept already known?

  2. I believe that the AM-GM inequality generalizes to $ell_1 geq ell_2 geq cdots geq ell_n$. Is this correct?


Thank you!










share|cite|improve this question



























    4














    I was discussing means with my friend, and I tried to illustrate the concept of geometric mean using the following idea:




    Suppose we have two positive quantities $x,y>0$. The simplest geometric object we can make out of those is an $x times y$ rectangle. What if we want a regular rectangle (i.e., a square) that "best approximates this rectangle"?




    One possibility is a square of side length $$ell_1 =frac{x+y}{2} ,$$
    keeping the perimeter the same at $2x+2y$. Another candidate is
    $$ell_2 =sqrt{xy} ,$$
    this time keeping the area the same at $xy$.



    I then realized I can generalize this idea to higher dimensions: If we have three positive numbers $x,y,z>0$, consider a $x times y times z$ rectangle, and a cube whose side $ell$ is to be decided:




    • Keeping the 1-dimensional "length-of-the-skeleton" the same we get
      $$4x+4y+4z=12 ell_1 implies ell_1=frac{x+y+z}{3}. $$

    • Keeping the 2-dimensional area of the faces the same we get
      $$2xy+2xz+2yz=6ell_2^2 implies ell_2=sqrt{frac{xy+xz+yz}{3}}.$$

    • Keeping the 3-dimensional volume the same we get
      $$x y z =ell_3^3 implies ell_3=sqrt[3]{x y z}.$$


    Notice that among the usual arithmetic and geometric means, a different kind of mean has popped up.



    This idea can go further, using "$n$-orthotopes" or hyperrectangles, producing $n$ distinct means from any sequence $x_1,dots,x_n$ of positive quantities:



    For $1 leq d leq n$ let $e_d(x_1,dots, x_n)$ denote the elementary symmetric polynomial on $n$ symbols of degree $d$. We define
    $$ell_d(x_1,dots,x_n) := sqrt[d]{frac{e_d(x_1,dots,x_n)}{binom{n}{d}}}.$$



    I have two questions about this:




    1. Is this concept already known?

    2. I believe that the AM-GM inequality generalizes to $ell_1 geq ell_2 geq cdots geq ell_n$. Is this correct?


    Thank you!










    share|cite|improve this question

























      4












      4








      4


      1





      I was discussing means with my friend, and I tried to illustrate the concept of geometric mean using the following idea:




      Suppose we have two positive quantities $x,y>0$. The simplest geometric object we can make out of those is an $x times y$ rectangle. What if we want a regular rectangle (i.e., a square) that "best approximates this rectangle"?




      One possibility is a square of side length $$ell_1 =frac{x+y}{2} ,$$
      keeping the perimeter the same at $2x+2y$. Another candidate is
      $$ell_2 =sqrt{xy} ,$$
      this time keeping the area the same at $xy$.



      I then realized I can generalize this idea to higher dimensions: If we have three positive numbers $x,y,z>0$, consider a $x times y times z$ rectangle, and a cube whose side $ell$ is to be decided:




      • Keeping the 1-dimensional "length-of-the-skeleton" the same we get
        $$4x+4y+4z=12 ell_1 implies ell_1=frac{x+y+z}{3}. $$

      • Keeping the 2-dimensional area of the faces the same we get
        $$2xy+2xz+2yz=6ell_2^2 implies ell_2=sqrt{frac{xy+xz+yz}{3}}.$$

      • Keeping the 3-dimensional volume the same we get
        $$x y z =ell_3^3 implies ell_3=sqrt[3]{x y z}.$$


      Notice that among the usual arithmetic and geometric means, a different kind of mean has popped up.



      This idea can go further, using "$n$-orthotopes" or hyperrectangles, producing $n$ distinct means from any sequence $x_1,dots,x_n$ of positive quantities:



      For $1 leq d leq n$ let $e_d(x_1,dots, x_n)$ denote the elementary symmetric polynomial on $n$ symbols of degree $d$. We define
      $$ell_d(x_1,dots,x_n) := sqrt[d]{frac{e_d(x_1,dots,x_n)}{binom{n}{d}}}.$$



      I have two questions about this:




      1. Is this concept already known?

      2. I believe that the AM-GM inequality generalizes to $ell_1 geq ell_2 geq cdots geq ell_n$. Is this correct?


      Thank you!










      share|cite|improve this question













      I was discussing means with my friend, and I tried to illustrate the concept of geometric mean using the following idea:




      Suppose we have two positive quantities $x,y>0$. The simplest geometric object we can make out of those is an $x times y$ rectangle. What if we want a regular rectangle (i.e., a square) that "best approximates this rectangle"?




      One possibility is a square of side length $$ell_1 =frac{x+y}{2} ,$$
      keeping the perimeter the same at $2x+2y$. Another candidate is
      $$ell_2 =sqrt{xy} ,$$
      this time keeping the area the same at $xy$.



      I then realized I can generalize this idea to higher dimensions: If we have three positive numbers $x,y,z>0$, consider a $x times y times z$ rectangle, and a cube whose side $ell$ is to be decided:




      • Keeping the 1-dimensional "length-of-the-skeleton" the same we get
        $$4x+4y+4z=12 ell_1 implies ell_1=frac{x+y+z}{3}. $$

      • Keeping the 2-dimensional area of the faces the same we get
        $$2xy+2xz+2yz=6ell_2^2 implies ell_2=sqrt{frac{xy+xz+yz}{3}}.$$

      • Keeping the 3-dimensional volume the same we get
        $$x y z =ell_3^3 implies ell_3=sqrt[3]{x y z}.$$


      Notice that among the usual arithmetic and geometric means, a different kind of mean has popped up.



      This idea can go further, using "$n$-orthotopes" or hyperrectangles, producing $n$ distinct means from any sequence $x_1,dots,x_n$ of positive quantities:



      For $1 leq d leq n$ let $e_d(x_1,dots, x_n)$ denote the elementary symmetric polynomial on $n$ symbols of degree $d$. We define
      $$ell_d(x_1,dots,x_n) := sqrt[d]{frac{e_d(x_1,dots,x_n)}{binom{n}{d}}}.$$



      I have two questions about this:




      1. Is this concept already known?

      2. I believe that the AM-GM inequality generalizes to $ell_1 geq ell_2 geq cdots geq ell_n$. Is this correct?


      Thank you!







      geometry inequality average means






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      user1337

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          Yes, that relationship between the elementary symmetric polynomials holds, it is known as Maclaurin's inequality, and a consequence of Newton's inequalities.






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            1 Answer
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            active

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            active

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            Yes, that relationship between the elementary symmetric polynomials holds, it is known as Maclaurin's inequality, and a consequence of Newton's inequalities.






            share|cite|improve this answer


























              4














              Yes, that relationship between the elementary symmetric polynomials holds, it is known as Maclaurin's inequality, and a consequence of Newton's inequalities.






              share|cite|improve this answer
























                4












                4








                4






                Yes, that relationship between the elementary symmetric polynomials holds, it is known as Maclaurin's inequality, and a consequence of Newton's inequalities.






                share|cite|improve this answer












                Yes, that relationship between the elementary symmetric polynomials holds, it is known as Maclaurin's inequality, and a consequence of Newton's inequalities.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered 2 hours ago









                Martin R

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