The non-squeezing theorem, also called Gromov's non-squeezing theorem, is one of the most important theorems in symplectic geometry.[1] It was first proven in 1985 by Mikhail Gromov.[2] The theorem states that one cannot embed a ball into a cylinder via a symplectic map unless the radius of the ball is less than or equal to the radius of the cylinder. The theorem is important because formerly very little was known about the geometry behind symplectic maps.One easy consequence of a transformation being symplectic is that it preserves volume.[3] One can easily embed a ball of any radius into a cylinder of any other radius by a volume-preserving transformation: just picture squeezing the ball into the cylinder (hence, the name non-squeezing theorem). Thus, the non-squeezing theorem tells us that, although symplectic transformations are volume-preserving, it is much more restrictive for a transformation to be symplectic than it is to be volume-preserving.
Consider the symplectic spaces
R2n=\{z=(x1,\ldots,xn,y1,\ldots,yn)\},
B2n(r)=\{z\inR2n:\|z\|<r\},
Z2n(R)=\{z\inR2n:
2 | |
x | |
1 |
+
2 | |
y | |
1 |
<R2\},
\omega=dx1\wedgedy1+ … +dxn\wedgedyn.
B2n(r)
r
Z2n(R)
R
R2n
If
(M,η)
(N,\nu)
\varphi:(M,η)\to(N,\nu)
\varphi:M\toN
\varphi*\nu=η
r\leqR
B2n(r)\toZ2n(R)
x\inB2n(r)\subsetR2n
x\inZ2n(R)\subsetR2n
Gromov's non-squeezing theorem says that if there is a symplectic embedding
\varphi:B2n(r)\toZ2n(R)
r\leqR
A symplectic capacity is a map
c:\{symplecticmanifolds\}\to[0,infty]
(M,\omega)\to(N,η)
\dimM=\dimN
c(M,\omega)\leqc(N,η)
c(M,λ\omega)=λc(M,\omega)
c(B2n(1))>0
c(Z2n(1))<infty
The existence of a symplectic capacity satisfying
c(B2n(1))=c(Z2n(1))=\pi
wG(M,\omega)=\sup\{\pir2:thereexistsasymplecticembeddingB2n(r)\to(M,\omega)\}
Gromov's non-squeezing theorem has also become known as the principle of the symplectic camel since Ian Stewart referred to it by alluding to the parable of the camel and the eye of a needle.[4] As Maurice A. de Gosson states:Similarly:
De Gosson has shown that the non-squeezing theorem is closely linked to the Robertson–Schrödinger–Heisenberg inequality, a generalization of the Heisenberg uncertainty relation. The Robertson–Schrödinger–Heisenberg inequality states that:
\operatorname{var}(Q)\operatorname{var}(P)\geq\operatorname{cov}2(Q,P)+\left(
\hbar | |
2 |
\right)2