Poisson Deleting Derivations Algorithm: Poisson Birational Equivalence and Poisson Spectrum

Poisson Deleting Derivations Algorithm: Poisson Birational Equivalence and Poisson Spectrum

Poisson deleting derivations algorithm: Poisson birational equivalence and Poisson spectrum César Lecoutre University of Glasgow AMS-EMS-SMP International Meeting June 2015 Example: X11 X12 Let A := O M2(K) = K . We dene a Poisson X21 X22 structure on A by setting: fX11; X12g = X11X12; fX11; X22g = 2X12X21; fX12; X22g = X12X22; fX11; X21g = X11X21; fX12; X21g = 0; fX21; X22g = X21X22: We generalise this Poisson structure to O Mm;p(K) . Poisson Algebra Denition A Poisson K-algebra A is a commutative algebra endowed with a Poisson bracket, that is a skew-symmetric K-bilinear map from A × A to A such that for all a; b; c 2 A we have: I fa; fb; cgg + fb; fc; agg + fc; fa; bgg = 0, I fab; cg = afb; cg + fa; cgb. Poisson Algebra Denition A Poisson K-algebra A is a commutative algebra endowed with a Poisson bracket, that is a skew-symmetric K-bilinear map from A × A to A such that for all a; b; c 2 A we have: I fa; fb; cgg + fb; fc; agg + fc; fa; bgg = 0, I fab; cg = afb; cg + fa; cgb. Example: X11 X12 Let A := O M2(K) = K . We dene a Poisson X21 X22 structure on A by setting: fX11; X12g = X11X12; fX11; X22g = 2X12X21; fX12; X22g = X12X22; fX11; X21g = X11X21; fX12; X21g = 0; fX21; X22g = X21X22: We generalise this Poisson structure to O Mm;p(K) . Poisson-Ore extension A ,! A[X ] Let A be a Poisson algebra and α; δ be linear maps on A. By setting: fX ; ag = α(a)X + δ(a) for all a 2 A, we dene a Poisson bracket on the polynomial ring A[X ] if and only if α; δ are derivations of A and satises for all a; b 2 A: α(fa; bg) = fα(a); bg + fa; α(b)g; δ(fa; bg) = fδ(a); bg + fa; δ(b)g + α(a)δ(b) − δ(a)α(b): We denote this Poisson algebra by A[X ; α; δ]P and called it a Poisson-Ore extension. Then there exists a Poisson algebra isomorphism: ±1 =∼ ±1 F : A[Y ; α; 0]P −! A[X ; α; δ]P ; dened by X 1 F (a) = D (a)X −i ; and F (Y ) = X : ηi i i≥0 Compare fY ; ag = α(a)Y and fX ; ag = α(a)X + δ(a). Poisson Deleting Derivation Homomorphism Theorem (Launois-L.) × Let A[X ; α; δ]P be a Poisson-Ore extension and η 2 K . Suppose that δ extends to an iterative, locally nilpotent higher (η; α)-skew Poisson derivation (Di ) on A. Compare fY ; ag = α(a)Y and fX ; ag = α(a)X + δ(a). Poisson Deleting Derivation Homomorphism Theorem (Launois-L.) × Let A[X ; α; δ]P be a Poisson-Ore extension and η 2 K . Suppose that δ extends to an iterative, locally nilpotent higher (η; α)-skew Poisson derivation (Di ) on A. Then there exists a Poisson algebra isomorphism: ±1 =∼ ±1 F : A[Y ; α; 0]P −! A[X ; α; δ]P ; dened by X 1 F (a) = D (a)X −i ; and F (Y ) = X : ηi i i≥0 Poisson Deleting Derivation Homomorphism Theorem (Launois-L.) × Let A[X ; α; δ]P be a Poisson-Ore extension and η 2 K . Suppose that δ extends to an iterative, locally nilpotent higher (η; α)-skew Poisson derivation (Di ) on A. Then there exists a Poisson algebra isomorphism: ±1 =∼ ±1 F : A[Y ; α; 0]P −! A[X ; α; δ]P ; dened by X 1 F (a) = D (a)X −i ; and F (Y ) = X : ηi i i≥0 Compare fY ; ag = α(a)Y and fX ; ag = α(a)X + δ(a). i If char 0, then D1 for all . K = Di = i! i Higher Poisson Derivation Let A be a Poisson K-algebra, α a Poisson derivation, and η 2 K. A higher (η; α)-skew Poisson derivation is a sequence of K-linear maps 1 from to such that for all and all (Di ) := (Di )i=0 A A a; b 2 A n ≥ 0: n P (1) D0 = idA and Dn(ab) = Di (a)Dn−i (b), i=0 (2) Dn(fa; bg) = n P h i fDi (a); Dn−i (b)g + i αDn−i (a)Di (b) − Di (a)αDn−i (b) , i=0 (3) Dnα = αDn + nηDn, (4) i+j for all 0 (iterative), Di Dj = i Di+j i; j ≥ (5) For all a 2 A there exists na ≥ 0 such that Di (a) = 0 for all i ≥ na (locally nilpotent). Higher Poisson Derivation Let A be a Poisson K-algebra, α a Poisson derivation, and η 2 K. A higher (η; α)-skew Poisson derivation is a sequence of K-linear maps 1 from to such that for all and all (Di ) := (Di )i=0 A A a; b 2 A n ≥ 0: n P (1) D0 = idA and Dn(ab) = Di (a)Dn−i (b), i=0 (2) Dn(fa; bg) = n P h i fDi (a); Dn−i (b)g + i αDn−i (a)Di (b) − Di (a)αDn−i (b) , i=0 (3) Dnα = αDn + nηDn, (4) i+j for all 0 (iterative), Di Dj = i Di+j i; j ≥ (5) For all a 2 A there exists na ≥ 0 such that Di (a) = 0 for all i ≥ na (locally nilpotent). i If char 0, then D1 for all . K = Di = i! i A class P of Poisson algebras I A = K[X1][X2; α2; δ2]P ··· [Xn; αn; δn]P is an iterated Poisson-Ore extension. I αi (Xj ) = λij Xj for some scalar λij 2 K. (1 ≤ j < i ≤ n) I δi extends to a higher (ηi ; αi )-skew Poisson derivation 1 , where ×. (2 ) (Di;k )k=0 ηi 2 K ≤ i ≤ n I αi Dj;k = Dj;k αi + kλij Dj;k for all k ≥ 0. (2 ≤ j < i ≤ n) The class P contains (the coordinate rings of) Poisson matrix variety O Mm;p(K) , odd and even Poisson euclidean spaces and symplectic Poisson spaces. I there exists an embedding: P.Spec (A) ,! P.Spec (A): Corollary Let A 2 P. Then A satises the Poisson analogue of the quantum Gel'fand-Kirillov problem. Moreover, if char K = 0, then A satises the Poisson Dixmier-Moeglin equivalence. Consequences Let A 2 P. Then the Poisson deleting derivations algorithm returns a Poisson ane space A = K[T1;:::; Tn] with fTi ; Tj g = λij Ti Tj such that: −1 ∼ ±1 ±1 for a multiplicative set in , I AS = K[T1 ;:::; Tn ] S A Corollary Let A 2 P. Then A satises the Poisson analogue of the quantum Gel'fand-Kirillov problem. Moreover, if char K = 0, then A satises the Poisson Dixmier-Moeglin equivalence. Consequences Let A 2 P. Then the Poisson deleting derivations algorithm returns a Poisson ane space A = K[T1;:::; Tn] with fTi ; Tj g = λij Ti Tj such that: −1 ∼ ±1 ±1 for a multiplicative set in , I AS = K[T1 ;:::; Tn ] S A I there exists an embedding: P.Spec (A) ,! P.Spec (A): Consequences Let A 2 P. Then the Poisson deleting derivations algorithm returns a Poisson ane space A = K[T1;:::; Tn] with fTi ; Tj g = λij Ti Tj such that: −1 ∼ ±1 ±1 for a multiplicative set in , I AS = K[T1 ;:::; Tn ] S A I there exists an embedding: P.Spec (A) ,! P.Spec (A): Corollary Let A 2 P. Then A satises the Poisson analogue of the quantum Gel'fand-Kirillov problem. Moreover, if char K = 0, then A satises the Poisson Dixmier-Moeglin equivalence. For w 2 W , we set: P.Spec P.Spec w (A) := P 2 (A) j P\fT1;:::; Tng = fTi j i 2 wg : Then the partition of P.Spec (A): P.Spec G P.Spec (A) = w (A) w2W induces a partition of P.Spec (A): P.Spec G −1P.Spec (A) = ' w (A) 0 w2WP where 0 −1P.Spec (the set of WP := fw 2 W j ' w (A) 6= ;g Cauchon diagrams). Canonical partition and Cauchon Diagrams Let A 2 P, and A = K[T1;:::; Tn] with fTi ; Tj g = λij Ti Tj . Let W := P(f1;:::; ng). Then the partition of P.Spec (A): P.Spec G P.Spec (A) = w (A) w2W induces a partition of P.Spec (A): P.Spec G −1P.Spec (A) = ' w (A) 0 w2WP where 0 −1P.Spec (the set of WP := fw 2 W j ' w (A) 6= ;g Cauchon diagrams). Canonical partition and Cauchon Diagrams Let A 2 P, and A = K[T1;:::; Tn] with fTi ; Tj g = λij Ti Tj . Let W := P(f1;:::; ng). For w 2 W , we set: P.Spec P.Spec w (A) := P 2 (A) j P\fT1;:::; Tng = fTi j i 2 wg : induces a partition of P.Spec (A): P.Spec G −1P.Spec (A) = ' w (A) 0 w2WP where 0 −1P.Spec (the set of WP := fw 2 W j ' w (A) 6= ;g Cauchon diagrams). Canonical partition and Cauchon Diagrams Let A 2 P, and A = K[T1;:::; Tn] with fTi ; Tj g = λij Ti Tj . Let W := P(f1;:::; ng). For w 2 W , we set: P.Spec P.Spec w (A) := P 2 (A) j P\fT1;:::; Tng = fTi j i 2 wg : Then the partition of P.Spec (A): P.Spec G P.Spec (A) = w (A) w2W Canonical partition and Cauchon Diagrams Let A 2 P, and A = K[T1;:::; Tn] with fTi ; Tj g = λij Ti Tj .

View Full Text

Details

  • File Type
    pdf
  • Upload Time
    -
  • Content Languages
    English
  • Upload User
    Anonymous/Not logged-in
  • File Pages
    19 Page
  • File Size
    -

Download

Channel Download Status
Express Download Enable

Copyright

We respect the copyrights and intellectual property rights of all users. All uploaded documents are either original works of the uploader or authorized works of the rightful owners.

  • Not to be reproduced or distributed without explicit permission.
  • Not used for commercial purposes outside of approved use cases.
  • Not used to infringe on the rights of the original creators.
  • If you believe any content infringes your copyright, please contact us immediately.

Support

For help with questions, suggestions, or problems, please contact us