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The one-field Landau–Ginzburg Jacobian algebra has dimension k+1
Facts & Assumptions
Given: Let and , and set . Use the formal derivative and Jacobian quotient of One-field Landau–Ginzburg Jacobian algebra.
One-field Landau–Ginzburg Jacobian algebra: , with the formal derivative defined by and the ideal defined in the commutative ring .
The complex numbers as , with the real embedding and imaginary unit and is a field, every element is uniquely , and every nonzero element has inverse : is a field containing the embedded real field, so every positive integer such as is a nonzero complex scalar and every nonzero complex number is invertible.
The polynomial ring over a commutative ring as finitely supported coefficient sequences with convolution: consists of finitely supported coefficient sequences with coefficientwise addition and convolution multiplication.
Every field is a commutative ring with ; it is an integral domain, and it is a commutative division ring and Polynomial convolution makes a commutative ring containing as its constant subring: is a commutative ring and these operations make a commutative ring.
The ideal generated by a subset and principal ideals and In a commutative ring, consists of finite sums , and : in a commutative ring the ideal generated by a single element is exactly .
Vector space over a field: a complex vector space has an abelian-group addition and a scalar map satisfying the vector-space axioms.
The quotient ring with , The quotient vector space and its canonical projection, and Coset equality, well-defined quotient operations, and the canonical projection with kernel : for a linear subspace of a complex vector space , the same cosets carry the quotient vector-space operations and ; for an ideal in a ring, the quotient-ring elements are those same additive cosets.
Linear subspace of a vector space: a subset containing zero and closed under addition and complex scalar multiplication is a linear subspace.
Linear independence: a finite list is independent when forces every , and a subset is independent when every injective finite list into is independent, Linear combination of a finite list, and the span as the smallest linear subspace containing , Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis, and Finite-dimensional vector space, and its dimension ; infinite-dimensional means having no finite basis: independence is the finite linear-combination criterion, a basis is an independent spanning subset, and the dimension of a finite-dimensional vector space is the cardinality of a finite basis.
Statement
For with and , the Jacobian algebra is with basis and complex dimension .
Proof
By the derivative definition in [F1], . Since is a unit by [F2], the ideals and are equal: each generator is a unit multiple of the other. Thus the quotient in [F1] is .
Define scalar multiplication on by . Its addition is coefficientwise; the additive-group laws follow coefficientwise from the ring structure [F4], and the scalar distributivity, associativity, and identity axioms follow coefficientwise from the field laws [F2] and the polynomial operations [F3]. Hence this makes a complex vector space in the sense of [F6].
Let . By [F5], . It contains zero; if , their sum is ; and for , . Thus is a linear subspace of by [F8].
By [F7] and step 1.3, the additive cosets in the quotient-ring construction of [F1] carry the quotient vector-space operations and . Therefore the quotient ring in step 1.1 has this specified complex vector-space structure.
For a finitely supported polynomial , extend its coefficient sequence by for every , and write , where (the zero polynomial if ) and . Then in the quotient vector space, so every quotient vector is a finite linear combination of . The span of is a linear subspace containing by the span definition in [F9], so it contains every such combination; hence spans the quotient.
Suppose . By quotient-coset equality this means . By [F5], for some polynomial . Convolution multiplication in [F3] gives zero coefficients in degrees for , whereas those coefficients of are ; hence each . The finite-list criterion [F9] gives linear independence of the displayed classes.
Let . The map from onto is injective: if for , their difference gives a nontrivial vanishing linear combination, contradicting step 3.2. To check independence of the subset , take any injective finite list from and assign its coefficients to the distinct exponent indices of its entries, with zero coefficients at the unused indices; step 3.2 forces all coefficients to vanish. Thus is linearly independent as a subset. Together with spanning from step 3.1, [F9] makes a basis with elements, so the dimension definition in [F9] gives . This is an algebraic quotient calculation only; no infrared-CFT identification is part of this theorem.
Depends on
One-field Landau–Ginzburg Jacobian algebra
The complex numbers as , with the real embedding and imaginary unit
is a field, every element is uniquely , and every nonzero element has inverse
Every field is a commutative ring with ; it is an integral domain, and it is a commutative division ring
The polynomial ring over a commutative ring as finitely supported coefficient sequences with convolution
Polynomial convolution makes a commutative ring containing as its constant subring
In a commutative ring, consists of finite sums , and
The ideal generated by a subset and principal ideals
The quotient ring with
Vector space over a field
Linear subspace of a vector space
The quotient vector space and its canonical projection
Coset equality, well-defined quotient operations, and the canonical projection with kernel
Linear independence: a finite list is independent when forces every , and a subset is independent when every injective finite list into is independent
Linear combination of a finite list, and the span as the smallest linear subspace containing
Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis
Finite-dimensional vector space, and its dimension ; infinite-dimensional means having no finite basis