13.4 Polar Bodies

Definition 13.4.1 (Polar Body).label Let $C\suf R^{n}$ be a compact set containing $0$ then the polar of $C$ is

\begin{align*}C^{o}\define\curl{y\in \R^n:\inner{x}{y}\leq 1,\fall x\in C}\end{align*}

with several properties

  1. (1)

    $C^{o}$ is convex

  2. (2)

    $L\suf K$ then $K^{o}\suf L^{o}$

  3. (3)

    For any $t>0$, $(tC)^{o}=\frac{1}{t}C^{o}$

  4. (4)

    For $R>0$, $\parens{\cl{B}(0,R)}^{o}=\cl{\parens{B\parens{0,\frac{1}{R}}}}$

  5. (5)

    For $A$ positive definite symmetric $n\ti n$ matrix we have $E\define \curl{x\in\R^n:\inner{x}{Ax}\leq 1},E^{o}=\curl{y\in\R^n:\inner{A\inv y}{y}\leq 1}$

  6. (6)

    $C^{oo}=\cl{Conv(C\cup\curl{0})}$. In particular for $C$ is convex $C^{oo}=C$

  7. (7)

    If $P=Conv\curl{v_1,...,v_m}$ is a polytope with $0\in int(P)$ then $P^{o}=\curl{y\in\R^n:\inner{y}{v_i}\leq 1,\fall i=\cl{1,m}}$

  8. (8)

    For a polytope containing the origin $P=\curl{x\in\R^n:\inner{x}{y_i}\leq d_i,i=\cl{1,m}}$ then $P^{o}=Conv\curl{\frac{y_{i}}{d_{i}},i=\cl{i,m}}$

Proof.

  1. (1)

    For $\lam\in (0,1)$ and $y_{1},y_{2}\in C^{o}$ we have

    \begin{align*}\inner{(1-\lam)y_1+\lam y_2}{x}=(1-\lam)\inner{y_1}{x}+\lam\inner{y_2}{x}\leq 1-\lam+\lam=1\end{align*}

  2. (2)

    $K^{o}$ has more constraints

  3. (3)

    By linearity of $\inners$ in one variable

  4. (4)

    Observe $\inner{x}{y}\leq\norm{x}{}\norm{y}{}\cos(0)=R\norm{y}{}$

  5. (5)

    $1\geq\inner{A\inv A x}{Ax}$ then $y=Ax$

  6. (6)

    We will prove for $K$ closed and convex with $0\in K$ then $K^{oo}=K$. By definition of $K^{o}$, $K\suf K^{oo}$. Suppose for contradiction $\exists z\in K^{oo}\del K$ then $\exists u\in \mathbb{S}^{n-1},\inner{z}{u}>\SUP{x\in K}{x}{u}\geq 0$ where second inequality comes from $0\in K$. If it is positive then $y\define \frac{u}{\SUP{x\in K}\inner{x}{u}}\in K^{o}$ but $\inner{z}{y}>1$ so $z\nin K^{oo}$. If the supremum is $0$ then pick $t>1/\inner{z}{u}>0$. Then

    \begin{align*}\inner{tu}{x}=t\inner{u}{x}\leq t\SUP{x\in K}\inner{u}{x}=0\leq 1&&\fall x\in K\end{align*}

    so $tu\in K^{o}$ and

    \begin{align*}\inner{z}{tu}>\inner{z}{\frac{u}{\inner{z}{u}}}=1\end{align*}

    showing $z\nin K^{oo}$.

  7. (7)

    If the inequalities hold for each $v_{i}$ then for any $x=\sums{}{i}\lam_{i}v_{i}\in P$ we have $\inner{x}{y}=\sums{}{i}\lam_{i}\inner{v_i}{y}\leq\sums{}{i}\lam_{i}=1$

  8. (8)

    Set $Q\define Conv\curl{\frac{y_{i}}{d_{i}},i=\cl{i,m}}$ then $P$ is bounded so $0$ lies in the interior of $Q$. Indeed, otherwise a separating hyperplane through the origin gives a nonzero vector $w$ with $\inner{w}{y_i/d_i}\leq 0$ for every $i$ (after reversing $w$ is needed) so for every $t\geq 0$ we have $\inner{u_i}{tw}\leq 0\leq d_{i}$ so the ray $\curl{tw:t\geq 0}$ lie in $P$, contradicting boundedness. By (6,7) we are done.

$\square$

Example 13.4.2 (Polytope Polar).label The $L^{1}$ and $L^{\infty}$ balls are polars.

\begin{align*}\curl{(x,y)\in\R^2:\abs{x}+\abs{y}\leq 1}&&\curl{(x,y)\in\R^2:\MAX{}\curl{\abs{x},\abs{y}}\leq 1}\end{align*}

Definition 13.4.3 (Radial Function).label Let $K$ be a convex body in $\R^{n}$ with $0\in int(K)$. Its radial function is

\begin{align*}\rho_{K}(u)\define\max\curl{t\geq 0:tu\in K}&&u\in \mathbb{S}^{n-1}\end{align*}

then with respect to the Lebesgue measure

\begin{align*}\abs{K}\define vol_{n}(K)=\frac{1}{n}\integral{}{\mathbb{S}^{n-1}}\rho_{K}^{n}(u)d\mu_{\mathbb{S}^{n-1}}\end{align*}

Lemma 13.4.4 (Reciprocity).label In Definition 13.4.3. For every $u\in \mathbb{S}^{n-1}$

\begin{align*}\rho_{K^o}(u)=\frac{1}{h_{K}(u)}\end{align*}

Proof. Let $u\in \mathbb{S}^{n-1},t\geq 0$ then

\begin{align*}tu\in K^{o}\iff \inner{x}{tu}\leq,\fall x\in K\iff th_{K}(u)\leq 1\end{align*}

The largest such $t$ is $1/h_{K}(u)$.$\square$

Remark 13.4.5 (Convex Body and Norm).label If $\norm{\cd}{}:\R^{n}\to[0,\infty)$ is a norm then $K\define \curl{x\in\R^n:\norm{x}{}\leq c}$ for any constant $c$ is a convex body. Conversely if $K$ is a convex body in $\R^{n}$ then $K=-K$ and we can define a norm $\norm{\cd}{K}$ on $\R^{n}$ to which $K$ is the unit ball.

Any norm on $\R^{n}$ is within $\sqrt{n}$ in Banach Mazur distance with the Euclidean norm. In some sense, up to a linear transformation $T$, $\frac{1}{\sqrt{n}}\norm{x}{*}\leq \norm{Tx}{2}\leq \sqrt{n}\norm{x}{*}$.

Mahler’s conjecture: for all $K\suf \R^{n}$ convex body then

\begin{align*}Vol_{n}(K)Vol_{n}(K^{o})\geq Vol_{n}(T_{n})Vol_{n}(T_{n}^{o})\end{align*}

$T_{n}$ is simplex. or $P_{n}$ parallelipiped instead of $T_{n}$ with $K=-K$.

Blaschke-Satalo’s: If $K=-K$

\begin{align*}Vol_{n}(K)Vol_{n}(K^{o})\leq Vol_{n}(B)^{2}=\om_{n}^{2}\end{align*}

$B$ is the unit ball. If $K\neq -K$ then we take $K^{s(K)}$ instead of $K^{o}$ so we take polar w.r.t. Santalo’s point defined to be the minimum of $p\mto Vol_{n}(K^{p})$ for $p\in K$

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