Skip to main content
correct error on eigenvalues.
Source Link
JHM
  • 2.3k
  • 16
  • 25

Let's fix the standard symplectic structure $(\mathbb{R}^{2g}, \omega, J)$. A (marked) symplectic lattice then has the form $A\mathbb{Z}^{2g}$ for $A \in Sp_{2g}\mathbb{R}$. We say a vector subspace $W$ is rational in $\mathbb{Z}^{2g}$ if $W \cap \mathbb{Z}^{2g}$ is a cocompact lattice in $W$, ie. the flat torus $W/W \cap \mathbb{Z}^{2g}$ has finite volume. Likewise we say $W$ is rational in $A \mathbb{Z}^{2g}$ if $A' W$ is rational in $\mathbb{Z}^{2g}$ (where the prime $'$ denotes inverse).

The following problem arises in computations with symplectic lattices: Suppose $W$ is a rational lagrangian subspace in the symplectic lattice $\Lambda$, and suppose we have a basis $w_1, w_2, \ldots$ for $W$ in $\Lambda$, (ie. each $w_i$ is a lattice vector in $\Lambda$). Now for any $A \in Sp_{2g}\mathbb{R}$ how do we compute a basis for $A'W$ in $A\Lambda$?

Some remarks: (we use ${}^o$ and ${}^\perp$ to respectively denote euclidean-orthogonal and $\omega$-orthogonal).

(i) The rationality of $A'W $ in $A \Lambda$ is rather particular to our situation. It is guaranteed by $A$ being symplectic, $W$ being lagrangian, the identity $W^o=JW^\perp=JW$, and the following fact from geometry of numbers: if $W$ is a rational subspace in a lattice $\Lambda$, then $W^o$ is rational in the dual lattice $\Lambda^\ast$ (here 'dual lattice' is meant in the Lekkerkerker or Conway/Sloane sense). Note: the dual $\Lambda^\ast$ of a symplectic lattice $\Lambda$ is given by $J\Lambda$.

(ii) We might not even have $A'W$ be lagrangian in $A\Lambda$, but that's acceptable for us.

(iii) This question arises from trying to understand how the volume of a rational lagrangian subspace grows under linear symplectomorphisms. An alternative version of the above question is as follows: for $w_1, w_2, \ldots$ as basis for $W$ in $\Lambda$ as above, we can compute the volume of $W$ in $\Lambda$ as : $$vol(W, \Lambda)=\det \begin{pmatrix} {}^t w_i w_j\end{pmatrix}.$$ Ie. we take the determinant for a certain symmetric gram matrix. The question that arises as: how do we relate the following two matrices (and in particular, their determinants): $$({}^tw_i w_j),~~~~ ({}^tw_i {}^tA A w_j)?$$

ie. the problem, as before, is comparing $vol(W, \Lambda)$ and $vol(AW, A\Lambda)$.

Note: if we knew a priori that $A$ stabilized $W$ (ie. that $\{Aw_i\}$ was another basis for $W$ in $\Lambda$) then the volume of $AW$ in $A\Lambda$ differs by $det(A|_W)$.

(iv) A more concise statement of the problem is this: let $\mathbb{W}$ denote the matrix whose columns consist of some basis of $W$ in $\Lambda$. Then we are simply looking for a comparison between the determinants of the following matrices: $${}^t\mathbb{W} \mathbb{W}, ~~~{}^t\mathbb{W} {}^tAA\mathbb{W}.$$

Even more concisely, we'd be happy to know how to move ${}^tA$ past ${}^t \mathbb{W}$.

Added: I've been thinking about the question more today and wanted to include some facts on symplectic polar decompositions: let's set $\mathbb{A}={}^tAA$. Then $\mathbb{A}$ is a symmetric positive definite symplectic matrix. Therefore $\mathbb{A}$ is diagonalizable over $\mathbb{R}$ all of whose eigenvalues $\lambda$ are positive real andnumbers satisfying the following: the eigenvalues occur in either pairs $\{+1, -1\}$ or as quadruples $\{\lambda, \lambda, \lambda^{-1}, \lambda^{-1}\}$ where $|\lambda| \neq 1$. Moreover an eigenspace $V_\lambda$ has $\omega$-orthogonal complement $$V_\lambda^{\perp}=\oplus_{\mu,~\mu \lambda \neq 1} V_\mu.$$

Eg. $V_{\pm 1}^\perp=V_{\pm 1}$.

The eigenspace decomposition allows us to rewrite the matrix ${}^t \mathbb{W} \mathbb{A} \mathbb{W}$: if we decompose each $w_i=\Sigma_\lambda w_i^\lambda$ relative to the eigenspaces $\{V_\lambda\}$ of $\mathbb{A}$, then we come to the following expression:

$${}^t \mathbb{W} \mathbb{A} \mathbb{W}=(\Sigma_\lambda \lambda w_i \cdot w_j^\lambda),$$ where $\cdot$ denotes dot-product.

But does anyone have any understanding of how to evaluate the determinant of this matrix in some manner which makes intelligible how it compares to $det(w_i \cdot w_j)$, ie. does the determinant split into eigenvalue components?

Let's fix the standard symplectic structure $(\mathbb{R}^{2g}, \omega, J)$. A (marked) symplectic lattice then has the form $A\mathbb{Z}^{2g}$ for $A \in Sp_{2g}\mathbb{R}$. We say a vector subspace $W$ is rational in $\mathbb{Z}^{2g}$ if $W \cap \mathbb{Z}^{2g}$ is a cocompact lattice in $W$, ie. the flat torus $W/W \cap \mathbb{Z}^{2g}$ has finite volume. Likewise we say $W$ is rational in $A \mathbb{Z}^{2g}$ if $A' W$ is rational in $\mathbb{Z}^{2g}$ (where the prime $'$ denotes inverse).

The following problem arises in computations with symplectic lattices: Suppose $W$ is a rational lagrangian subspace in the symplectic lattice $\Lambda$, and suppose we have a basis $w_1, w_2, \ldots$ for $W$ in $\Lambda$, (ie. each $w_i$ is a lattice vector in $\Lambda$). Now for any $A \in Sp_{2g}\mathbb{R}$ how do we compute a basis for $A'W$ in $A\Lambda$?

Some remarks: (we use ${}^o$ and ${}^\perp$ to respectively denote euclidean-orthogonal and $\omega$-orthogonal).

(i) The rationality of $A'W $ in $A \Lambda$ is rather particular to our situation. It is guaranteed by $A$ being symplectic, $W$ being lagrangian, the identity $W^o=JW^\perp=JW$, and the following fact from geometry of numbers: if $W$ is a rational subspace in a lattice $\Lambda$, then $W^o$ is rational in the dual lattice $\Lambda^\ast$ (here 'dual lattice' is meant in the Lekkerkerker or Conway/Sloane sense). Note: the dual $\Lambda^\ast$ of a symplectic lattice $\Lambda$ is given by $J\Lambda$.

(ii) We might not even have $A'W$ be lagrangian in $A\Lambda$, but that's acceptable for us.

(iii) This question arises from trying to understand how the volume of a rational lagrangian subspace grows under linear symplectomorphisms. An alternative version of the above question is as follows: for $w_1, w_2, \ldots$ as basis for $W$ in $\Lambda$ as above, we can compute the volume of $W$ in $\Lambda$ as : $$vol(W, \Lambda)=\det \begin{pmatrix} {}^t w_i w_j\end{pmatrix}.$$ Ie. we take the determinant for a certain symmetric gram matrix. The question that arises as: how do we relate the following two matrices (and in particular, their determinants): $$({}^tw_i w_j),~~~~ ({}^tw_i {}^tA A w_j)?$$

ie. the problem, as before, is comparing $vol(W, \Lambda)$ and $vol(AW, A\Lambda)$.

Note: if we knew a priori that $A$ stabilized $W$ (ie. that $\{Aw_i\}$ was another basis for $W$ in $\Lambda$) then the volume of $AW$ in $A\Lambda$ differs by $det(A|_W)$.

(iv) A more concise statement of the problem is this: let $\mathbb{W}$ denote the matrix whose columns consist of some basis of $W$ in $\Lambda$. Then we are simply looking for a comparison between the determinants of the following matrices: $${}^t\mathbb{W} \mathbb{W}, ~~~{}^t\mathbb{W} {}^tAA\mathbb{W}.$$

Even more concisely, we'd be happy to know how to move ${}^tA$ past ${}^t \mathbb{W}$.

Added: I've been thinking about the question more today and wanted to include some facts on symplectic polar decompositions: let's set $\mathbb{A}={}^tAA$. Then $\mathbb{A}$ is a symmetric positive definite symplectic matrix. Therefore $\mathbb{A}$ is diagonalizable over $\mathbb{R}$ all of whose eigenvalues $\lambda$ are real and satisfying the following: the eigenvalues occur in either pairs $\{+1, -1\}$ or as quadruples $\{\lambda, \lambda, \lambda^{-1}, \lambda^{-1}\}$ where $|\lambda| \neq 1$. Moreover an eigenspace $V_\lambda$ has $\omega$-orthogonal complement $$V_\lambda^{\perp}=\oplus_{\mu,~\mu \lambda \neq 1} V_\mu.$$

Eg. $V_{\pm 1}^\perp=V_{\pm 1}$.

The eigenspace decomposition allows us to rewrite the matrix ${}^t \mathbb{W} \mathbb{A} \mathbb{W}$: if we decompose each $w_i=\Sigma_\lambda w_i^\lambda$ relative to the eigenspaces $\{V_\lambda\}$ of $\mathbb{A}$, then we come to the following expression:

$${}^t \mathbb{W} \mathbb{A} \mathbb{W}=(\Sigma_\lambda \lambda w_i \cdot w_j^\lambda),$$ where $\cdot$ denotes dot-product.

But does anyone have any understanding of how to evaluate the determinant of this matrix in some manner which makes intelligible how it compares to $det(w_i \cdot w_j)$, ie. does the determinant split into eigenvalue components?

Let's fix the standard symplectic structure $(\mathbb{R}^{2g}, \omega, J)$. A (marked) symplectic lattice then has the form $A\mathbb{Z}^{2g}$ for $A \in Sp_{2g}\mathbb{R}$. We say a vector subspace $W$ is rational in $\mathbb{Z}^{2g}$ if $W \cap \mathbb{Z}^{2g}$ is a cocompact lattice in $W$, ie. the flat torus $W/W \cap \mathbb{Z}^{2g}$ has finite volume. Likewise we say $W$ is rational in $A \mathbb{Z}^{2g}$ if $A' W$ is rational in $\mathbb{Z}^{2g}$ (where the prime $'$ denotes inverse).

The following problem arises in computations with symplectic lattices: Suppose $W$ is a rational lagrangian subspace in the symplectic lattice $\Lambda$, and suppose we have a basis $w_1, w_2, \ldots$ for $W$ in $\Lambda$, (ie. each $w_i$ is a lattice vector in $\Lambda$). Now for any $A \in Sp_{2g}\mathbb{R}$ how do we compute a basis for $A'W$ in $A\Lambda$?

Some remarks: (we use ${}^o$ and ${}^\perp$ to respectively denote euclidean-orthogonal and $\omega$-orthogonal).

(i) The rationality of $A'W $ in $A \Lambda$ is rather particular to our situation. It is guaranteed by $A$ being symplectic, $W$ being lagrangian, the identity $W^o=JW^\perp=JW$, and the following fact from geometry of numbers: if $W$ is a rational subspace in a lattice $\Lambda$, then $W^o$ is rational in the dual lattice $\Lambda^\ast$ (here 'dual lattice' is meant in the Lekkerkerker or Conway/Sloane sense). Note: the dual $\Lambda^\ast$ of a symplectic lattice $\Lambda$ is given by $J\Lambda$.

(ii) We might not even have $A'W$ be lagrangian in $A\Lambda$, but that's acceptable for us.

(iii) This question arises from trying to understand how the volume of a rational lagrangian subspace grows under linear symplectomorphisms. An alternative version of the above question is as follows: for $w_1, w_2, \ldots$ as basis for $W$ in $\Lambda$ as above, we can compute the volume of $W$ in $\Lambda$ as : $$vol(W, \Lambda)=\det \begin{pmatrix} {}^t w_i w_j\end{pmatrix}.$$ Ie. we take the determinant for a certain symmetric gram matrix. The question that arises as: how do we relate the following two matrices (and in particular, their determinants): $$({}^tw_i w_j),~~~~ ({}^tw_i {}^tA A w_j)?$$

ie. the problem, as before, is comparing $vol(W, \Lambda)$ and $vol(AW, A\Lambda)$.

Note: if we knew a priori that $A$ stabilized $W$ (ie. that $\{Aw_i\}$ was another basis for $W$ in $\Lambda$) then the volume of $AW$ in $A\Lambda$ differs by $det(A|_W)$.

(iv) A more concise statement of the problem is this: let $\mathbb{W}$ denote the matrix whose columns consist of some basis of $W$ in $\Lambda$. Then we are simply looking for a comparison between the determinants of the following matrices: $${}^t\mathbb{W} \mathbb{W}, ~~~{}^t\mathbb{W} {}^tAA\mathbb{W}.$$

Even more concisely, we'd be happy to know how to move ${}^tA$ past ${}^t \mathbb{W}$.

Added: I've been thinking about the question more today and wanted to include some facts on symplectic polar decompositions: let's set $\mathbb{A}={}^tAA$. Then $\mathbb{A}$ is a symmetric positive definite symplectic matrix. Therefore $\mathbb{A}$ is diagonalizable over $\mathbb{R}$ all of whose eigenvalues $\lambda$ are positive real numbers satisfying the following: the eigenvalues occur as quadruples $\{\lambda, \lambda, \lambda^{-1}, \lambda^{-1}\}$ where $|\lambda| \neq 1$. Moreover an eigenspace $V_\lambda$ has $\omega$-orthogonal complement $$V_\lambda^{\perp}=\oplus_{\mu,~\mu \lambda \neq 1} V_\mu.$$

The eigenspace decomposition allows us to rewrite the matrix ${}^t \mathbb{W} \mathbb{A} \mathbb{W}$: if we decompose each $w_i=\Sigma_\lambda w_i^\lambda$ relative to the eigenspaces $\{V_\lambda\}$ of $\mathbb{A}$, then we come to the following expression:

$${}^t \mathbb{W} \mathbb{A} \mathbb{W}=(\Sigma_\lambda \lambda w_i \cdot w_j^\lambda),$$ where $\cdot$ denotes dot-product.

But does anyone have any understanding of how to evaluate the determinant of this matrix in some manner which makes intelligible how it compares to $det(w_i \cdot w_j)$, ie. does the determinant split into eigenvalue components?

corrected error, elaborated.
Source Link
JHM
  • 2.3k
  • 16
  • 25

Let's fix the standard symplectic structure $(\mathbb{R}^{2g}, \omega, J)$. A (marked) symplectic lattice then has the form $A\mathbb{Z}^{2g}$ for $A \in Sp_{2g}\mathbb{R}$. We say a vector subspace $W$ is rational in $\mathbb{Z}^{2g}$ if $W \cap \mathbb{Z}^{2g}$ is a cocompact lattice in $W$, ie. the flat torus $W/W \cap \mathbb{Z}^{2g}$ has finite volume. Likewise we say $W$ is rational in $A \mathbb{Z}^{2g}$ if $A' W$ is rational in $\mathbb{Z}^{2g}$ (where the prime $'$ denotes inverse).

The following problem arises in computations with symplectic lattices: Suppose $W$ is a rational lagrangian subspace in the symplectic lattice $\Lambda$, and suppose we have a basis $w_1, w_2, \ldots$ for $W$ in $\Lambda$, (ie. each $w_i$ is a lattice vector in $\Lambda$). Now for any $A \in Sp_{2g}\mathbb{R}$ how do we compute a basis for $A'W$ in $A\Lambda$?

Some remarks: (we use ${}^o$ and ${}^\perp$ to respectively denote euclidean-orthogonal and $\omega$-orthogonal).

(i) The rationality of $A'W $ in $A \Lambda$ is rather particular to our situation. It is guaranteed by $A$ being symplectic, $W$ being lagrangian, the identity $W^o=JW^\perp=JW$, and the following fact from geometry of numbers: if $W$ is a rational subspace in a lattice $\Lambda$, then $W^o$ is rational in the dual lattice $\Lambda^\ast$ (here 'dual lattice' is meant in the Lekkerkerker or Conway/Sloane sense). Note: the dual $\Lambda^\ast$ of a symplectic lattice $\Lambda$ is given by $J\Lambda$.

(ii) We might not even have $A'W$ be lagrangian in $A\Lambda$, but that's acceptable for us.

(iii) This question arises from trying to understand how the volume of a rational lagrangian subspace grows under linear symplectomorphisms. An alternative version of the above question is as follows: for $w_1, w_2, \ldots$ as basis for $W$ in $\Lambda$ as above, we can compute the volume of $W$ in $\Lambda$ as : $$vol(W, \Lambda)=\det \begin{pmatrix} {}^t w_i w_j\end{pmatrix}.$$ Ie. we take the determinant for a certain symmetric gram matrix. The question that arises as: how do we relate the following two matrices (and in particular, their determinants): $$({}^tw_i w_j),~~~~ ({}^tw_i {}^tA A w_j)?$$

ie. the problem, as before, is comparing $vol(W, \Lambda)$ and $vol(AW, A\Lambda)$.

Note: if we knew a priori that $A$ stabilized $W$ (ie. that $\{Aw_i\}$ was another basis for $W$ in $\Lambda$) then the volume of $AW$ in $A\Lambda$ differs by $det(A|_W)$.

(iv) A more concise statement of the problem is this: let $\mathbb{W}$ denote the matrix whose columns consist of some basis of $W$ in $\Lambda$. Then we are simply looking for a comparison between the determinants of the following matrices: $${}^t\mathbb{W} \mathbb{W}, ~~~{}^t\mathbb{W} {}^tAA\mathbb{W}.$$

Even more concisely, we'd be happy to know how to move ${}^tA$ past ${}^t \mathbb{W}$.

Added: I've been thinking about the question more today and wanted to include some facts on symplectic polar decompositions: let's set $\mathbb{A}={}^tAA$. Then $\mathbb{A}$ is a symmetric positive definite symplectic matrix. Therefore $\mathbb{A}$ is diagonalizable over $\mathbb{R}$ all of whose eigenvalues $\lambda$ are real and satisfying the following: the eigenvalues occur in either pairs $\{+1, -1\}$ or as quadruples $\{\lambda, \lambda, \lambda^{-1}, \lambda^{-1}\}$ where $|\lambda| \neq 1$. Moreover an eigenspace $V_\lambda$ has $\omega$-orthogonal complement $$V_\lambda^{\perp}=\oplus_{\mu,~\mu \lambda \neq 1} V_\mu.$$

Eg. $V_{\pm 1}^\perp=V_{\pm 1}$.

The eigenspace decomposition allows us to rewrite the matrix ${}^t \mathbb{W} \mathbb{A} \mathbb{W}$: if we decompose each $w_i=\Sigma_\lambda w_i^\lambda$ relative to the eigenspaces $\{V_\lambda\}$ of $\mathbb{A}$, then we come to the following expression:

$${}^t \mathbb{W} \mathbb{A} \mathbb{W}=(\Sigma_\lambda \lambda^{4g^2}(w_i \cdot w_j^\lambda)),$$$${}^t \mathbb{W} \mathbb{A} \mathbb{W}=(\Sigma_\lambda \lambda w_i \cdot w_j^\lambda),$$ where $\cdot$ denotes dot-product.

But does anyone have any understanding of how to evaluate the determinant of this matrix in some manner which makes intelligible how it compares to $det(w_i \cdot w_j)$, ie. to splitdoes the determinant split into its eigenvalue components?

Let's fix the standard symplectic structure $(\mathbb{R}^{2g}, \omega, J)$. A (marked) symplectic lattice then has the form $A\mathbb{Z}^{2g}$ for $A \in Sp_{2g}\mathbb{R}$. We say a vector subspace $W$ is rational in $\mathbb{Z}^{2g}$ if $W \cap \mathbb{Z}^{2g}$ is a cocompact lattice in $W$, ie. the flat torus $W/W \cap \mathbb{Z}^{2g}$ has finite volume. Likewise we say $W$ is rational in $A \mathbb{Z}^{2g}$ if $A' W$ is rational in $\mathbb{Z}^{2g}$ (where the prime $'$ denotes inverse).

The following problem arises in computations with symplectic lattices: Suppose $W$ is a rational lagrangian subspace in the symplectic lattice $\Lambda$, and suppose we have a basis $w_1, w_2, \ldots$ for $W$ in $\Lambda$, (ie. each $w_i$ is a lattice vector in $\Lambda$). Now for any $A \in Sp_{2g}\mathbb{R}$ how do we compute a basis for $A'W$ in $A\Lambda$?

Some remarks: (we use ${}^o$ and ${}^\perp$ to respectively denote euclidean-orthogonal and $\omega$-orthogonal).

(i) The rationality of $A'W $ in $A \Lambda$ is rather particular to our situation. It is guaranteed by $A$ being symplectic, $W$ being lagrangian, the identity $W^o=JW^\perp=JW$, and the following fact from geometry of numbers: if $W$ is a rational subspace in a lattice $\Lambda$, then $W^o$ is rational in the dual lattice $\Lambda^\ast$ (here 'dual lattice' is meant in the Lekkerkerker or Conway/Sloane sense). Note: the dual $\Lambda^\ast$ of a symplectic lattice $\Lambda$ is given by $J\Lambda$.

(ii) We might not even have $A'W$ be lagrangian in $A\Lambda$, but that's acceptable for us.

(iii) This question arises from trying to understand how the volume of a rational lagrangian subspace grows under linear symplectomorphisms. An alternative version of the above question is as follows: for $w_1, w_2, \ldots$ as basis for $W$ in $\Lambda$ as above, we can compute the volume of $W$ in $\Lambda$ as : $$vol(W, \Lambda)=\det \begin{pmatrix} {}^t w_i w_j\end{pmatrix}.$$ Ie. we take the determinant for a certain symmetric gram matrix. The question that arises as: how do we relate the following two matrices (and in particular, their determinants): $$({}^tw_i w_j),~~~~ ({}^tw_i {}^tA A w_j)?$$

ie. the problem, as before, is comparing $vol(W, \Lambda)$ and $vol(AW, A\Lambda)$.

Note: if we knew a priori that $A$ stabilized $W$ (ie. that $\{Aw_i\}$ was another basis for $W$ in $\Lambda$) then the volume of $AW$ in $A\Lambda$ differs by $det(A|_W)$.

(iv) A more concise statement of the problem is this: let $\mathbb{W}$ denote the matrix whose columns consist of some basis of $W$ in $\Lambda$. Then we are simply looking for a comparison between the determinants of the following matrices: $${}^t\mathbb{W} \mathbb{W}, ~~~{}^t\mathbb{W} {}^tAA\mathbb{W}.$$

Even more concisely, we'd be happy to know how to move ${}^tA$ past ${}^t \mathbb{W}$.

Added: I've been thinking about the question more today and wanted to include some facts on symplectic polar decompositions: let's set $\mathbb{A}={}^tAA$. Then $\mathbb{A}$ is a symmetric positive definite symplectic matrix. Therefore $\mathbb{A}$ is diagonalizable over $\mathbb{R}$ all of whose eigenvalues $\lambda$ are real and satisfying the following: the eigenvalues occur in either pairs $\{+1, -1\}$ or as quadruples $\{\lambda, \lambda, \lambda^{-1}, \lambda^{-1}\}$ where $|\lambda| \neq 1$. Moreover an eigenspace $V_\lambda$ has $\omega$-orthogonal complement $$V_\lambda^{\perp}=\oplus_{\mu,~\mu \lambda \neq 1} V_\mu.$$

Eg. $V_{\pm 1}^\perp=V_{\pm 1}$.

The eigenspace decomposition allows us to rewrite the matrix ${}^t \mathbb{W} \mathbb{A} \mathbb{W}$: if we decompose each $w_i=\Sigma_\lambda w_i^\lambda$ relative to the eigenspaces $\{V_\lambda\}$ of $\mathbb{A}$, then we come to the following expression:

$${}^t \mathbb{W} \mathbb{A} \mathbb{W}=(\Sigma_\lambda \lambda^{4g^2}(w_i \cdot w_j^\lambda)),$$ where $\cdot$ denotes dot-product.

But does anyone have any understanding of how to evaluate the determinant of this matrix, ie. to split the determinant into its eigenvalue components?

Let's fix the standard symplectic structure $(\mathbb{R}^{2g}, \omega, J)$. A (marked) symplectic lattice then has the form $A\mathbb{Z}^{2g}$ for $A \in Sp_{2g}\mathbb{R}$. We say a vector subspace $W$ is rational in $\mathbb{Z}^{2g}$ if $W \cap \mathbb{Z}^{2g}$ is a cocompact lattice in $W$, ie. the flat torus $W/W \cap \mathbb{Z}^{2g}$ has finite volume. Likewise we say $W$ is rational in $A \mathbb{Z}^{2g}$ if $A' W$ is rational in $\mathbb{Z}^{2g}$ (where the prime $'$ denotes inverse).

The following problem arises in computations with symplectic lattices: Suppose $W$ is a rational lagrangian subspace in the symplectic lattice $\Lambda$, and suppose we have a basis $w_1, w_2, \ldots$ for $W$ in $\Lambda$, (ie. each $w_i$ is a lattice vector in $\Lambda$). Now for any $A \in Sp_{2g}\mathbb{R}$ how do we compute a basis for $A'W$ in $A\Lambda$?

Some remarks: (we use ${}^o$ and ${}^\perp$ to respectively denote euclidean-orthogonal and $\omega$-orthogonal).

(i) The rationality of $A'W $ in $A \Lambda$ is rather particular to our situation. It is guaranteed by $A$ being symplectic, $W$ being lagrangian, the identity $W^o=JW^\perp=JW$, and the following fact from geometry of numbers: if $W$ is a rational subspace in a lattice $\Lambda$, then $W^o$ is rational in the dual lattice $\Lambda^\ast$ (here 'dual lattice' is meant in the Lekkerkerker or Conway/Sloane sense). Note: the dual $\Lambda^\ast$ of a symplectic lattice $\Lambda$ is given by $J\Lambda$.

(ii) We might not even have $A'W$ be lagrangian in $A\Lambda$, but that's acceptable for us.

(iii) This question arises from trying to understand how the volume of a rational lagrangian subspace grows under linear symplectomorphisms. An alternative version of the above question is as follows: for $w_1, w_2, \ldots$ as basis for $W$ in $\Lambda$ as above, we can compute the volume of $W$ in $\Lambda$ as : $$vol(W, \Lambda)=\det \begin{pmatrix} {}^t w_i w_j\end{pmatrix}.$$ Ie. we take the determinant for a certain symmetric gram matrix. The question that arises as: how do we relate the following two matrices (and in particular, their determinants): $$({}^tw_i w_j),~~~~ ({}^tw_i {}^tA A w_j)?$$

ie. the problem, as before, is comparing $vol(W, \Lambda)$ and $vol(AW, A\Lambda)$.

Note: if we knew a priori that $A$ stabilized $W$ (ie. that $\{Aw_i\}$ was another basis for $W$ in $\Lambda$) then the volume of $AW$ in $A\Lambda$ differs by $det(A|_W)$.

(iv) A more concise statement of the problem is this: let $\mathbb{W}$ denote the matrix whose columns consist of some basis of $W$ in $\Lambda$. Then we are simply looking for a comparison between the determinants of the following matrices: $${}^t\mathbb{W} \mathbb{W}, ~~~{}^t\mathbb{W} {}^tAA\mathbb{W}.$$

Even more concisely, we'd be happy to know how to move ${}^tA$ past ${}^t \mathbb{W}$.

Added: I've been thinking about the question more today and wanted to include some facts on symplectic polar decompositions: let's set $\mathbb{A}={}^tAA$. Then $\mathbb{A}$ is a symmetric positive definite symplectic matrix. Therefore $\mathbb{A}$ is diagonalizable over $\mathbb{R}$ all of whose eigenvalues $\lambda$ are real and satisfying the following: the eigenvalues occur in either pairs $\{+1, -1\}$ or as quadruples $\{\lambda, \lambda, \lambda^{-1}, \lambda^{-1}\}$ where $|\lambda| \neq 1$. Moreover an eigenspace $V_\lambda$ has $\omega$-orthogonal complement $$V_\lambda^{\perp}=\oplus_{\mu,~\mu \lambda \neq 1} V_\mu.$$

Eg. $V_{\pm 1}^\perp=V_{\pm 1}$.

The eigenspace decomposition allows us to rewrite the matrix ${}^t \mathbb{W} \mathbb{A} \mathbb{W}$: if we decompose each $w_i=\Sigma_\lambda w_i^\lambda$ relative to the eigenspaces $\{V_\lambda\}$ of $\mathbb{A}$, then we come to the following expression:

$${}^t \mathbb{W} \mathbb{A} \mathbb{W}=(\Sigma_\lambda \lambda w_i \cdot w_j^\lambda),$$ where $\cdot$ denotes dot-product.

But does anyone have any understanding of how to evaluate the determinant of this matrix in some manner which makes intelligible how it compares to $det(w_i \cdot w_j)$, ie. does the determinant split into eigenvalue components?

deleted 58 characters in body; added 1 characters in body
Source Link
JHM
  • 2.3k
  • 16
  • 25

Unfortunately theThe eigenspace decomposition confusesallows us to rewrite the matrix product we're pursuing. That is,${}^t \mathbb{W} \mathbb{A} \mathbb{W}$: if we rewritedecompose each lattice vector $w_i = \oplus_\lambda w_{i, \lambda}$ then the matrix product (or, dot product) ${}^tw_i \mathbb{A}w_j$ cannot be readily performed componentwise. Ie. it is meaningless$w_i=\Sigma_\lambda w_i^\lambda$ relative to take the 'dot-product' of the vectorseigenspaces $\oplus_\lambda w_{i,\lambda}$ and$\{V_\lambda\}$ of $\oplus_\mu \mu w_{j, \mu}$. There is nonetheless a possibility$\mathbb{A}$, then we come to remedy this: using the identityfollowing expression:

$${}^t \mathbb{W} \mathbb{A} \mathbb{W}=(\Sigma_\lambda \lambda^{4g^2}(w_i \cdot w_j^\lambda)),$$ where $ {}^txy=\omega(x, Jy)$ we need$\cdot$ denotes dot-product.

But does anyone have any understanding of how to understandevaluate the actiondeterminant of $J$ on the eigenspace decompositionthis matrix, ie. what is $Jw_{i, \lambda}?$to split the determinant into its eigenvalue components?

Unfortunately the eigenspace decomposition confuses the matrix product we're pursuing. That is, if we rewrite each lattice vector $w_i = \oplus_\lambda w_{i, \lambda}$ then the matrix product (or, dot product) ${}^tw_i \mathbb{A}w_j$ cannot be readily performed componentwise. Ie. it is meaningless to take the 'dot-product' of the vectors $\oplus_\lambda w_{i,\lambda}$ and $\oplus_\mu \mu w_{j, \mu}$. There is nonetheless a possibility to remedy this: using the identity $ {}^txy=\omega(x, Jy)$ we need to understand the action of $J$ on the eigenspace decomposition, ie. what is $Jw_{i, \lambda}?$

The eigenspace decomposition allows us to rewrite the matrix ${}^t \mathbb{W} \mathbb{A} \mathbb{W}$: if we decompose each $w_i=\Sigma_\lambda w_i^\lambda$ relative to the eigenspaces $\{V_\lambda\}$ of $\mathbb{A}$, then we come to the following expression:

$${}^t \mathbb{W} \mathbb{A} \mathbb{W}=(\Sigma_\lambda \lambda^{4g^2}(w_i \cdot w_j^\lambda)),$$ where $\cdot$ denotes dot-product.

But does anyone have any understanding of how to evaluate the determinant of this matrix, ie. to split the determinant into its eigenvalue components?

added 36 characters in body
Source Link
JHM
  • 2.3k
  • 16
  • 25
Loading
added 244 characters in body; Post Made Community Wiki
Source Link
JHM
  • 2.3k
  • 16
  • 25
Loading
Added a further point on polar decompositions.
Source Link
JHM
  • 2.3k
  • 16
  • 25
Loading
clarified final point.
Source Link
JHM
  • 2.3k
  • 16
  • 25
Loading
elaborated once more.
Source Link
JHM
  • 2.3k
  • 16
  • 25
Loading
changed title.
Link
JHM
  • 2.3k
  • 16
  • 25
Loading
elaborated.; edited body
Source Link
JHM
  • 2.3k
  • 16
  • 25
Loading
added 99 characters in body
Source Link
JHM
  • 2.3k
  • 16
  • 25
Loading
Fixed some latex
Source Link
MTS
  • 8.6k
  • 2
  • 35
  • 65
Loading
added 86 characters in body
Source Link
JHM
  • 2.3k
  • 16
  • 25
Loading
deleted 169 characters in body
Source Link
JHM
  • 2.3k
  • 16
  • 25
Loading
Source Link
JHM
  • 2.3k
  • 16
  • 25
Loading