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Rank bookkeeping for a long exact sequence of finite-dimensional vector spaces
Statement
Let be a field (Field) and let be a long exact sequence of -vector spaces (Exact sequence and short exact sequence in an abelian category), indexed by the integers. Assume that and are finite-dimensional over for every (Finite-dimensional vector space, and its dimension ; infinite-dimensional means having no finite basis) and vanish for and for all , where is a fixed integer. Then the spaces are also finite-dimensional and vanish for and , and there is a unique polynomial with for every such that where and similarly for . Explicitly , so that for every and in particular for every .
Facts & Assumptions
Given: A field , an integer , a long exact sequence as displayed with finite-dimensional for all and zero for and , and the notation .
A sequence of morphisms is exact when at every interior node the image of the incoming map equals the kernel of the outgoing map (Exact sequence and short exact sequence in an abelian category).
For a linear map with finite-dimensional, (Rank-nullity: , Rank and nullity of a linear map with finite-dimensional domain, Kernel and image of a linear map).
If is a linear subspace of a finite-dimensional space , then is finite-dimensional with (If and is a linear subspace of , then is finite-dimensional, , and if and only if ).
If are finite-dimensional linear subspaces of a vector space, then (The dimension formula: for finite-dimensional linear subspaces and of , the subspaces and are finite-dimensional and ).
is the set of finitely supported functions , with pointwise addition and convolution product; two polynomials are equal exactly when all coefficients agree, and is the sequence with coefficient at index (The polynomial ring over a commutative ring as finitely supported coefficient sequences with convolution).
is a commutative ring with multiplicative identity (The integers form a commutative ring).
Proof
If , the vanishing hypotheses force every to be zero, and exactness forces every to be zero; all formulas then hold with . Henceforth assume . Exactness gives , , and . Put and ; these are finite by [L1] and [L2], since are finite-dimensional. The maps retain the names .
Rank-nullity for and gives and .
Choose a finite basis of and lifts with . Then : subtract the corresponding linear combination of the lifts from any element. The kernel has dimension by exactness and step 2.1, so this sum is finite-dimensional by [L3]. Rank-nullity now applies to and gives . Only finitely many lifts are chosen.
The three dimension identities give . In particular the weak inequality holds. Outside , exactness and force . Also , since exactness identifies with the image of the zero space .
Set . With outside this range, the coefficient of in degree is ; at degree it vanishes because . Thus step 4.1 and coefficient comparison give . Its coefficients are nonnegative integers.
Telescoping gives , since . This proves the partial-sum formula and identifies . For negative read the sum as empty and set .
Finally, uniqueness of : if with , then by [F2] the coefficients satisfy and for every , so all and ; hence two polynomials with agree.
Remarks
- The vanishing convention. The hypothesis that the sequence vanishes in degrees is the one used by the Morse applications, where the graded pieces are homology groups in nonnegative degrees; it is exactly what makes the alternating partial sums land on the coefficient of without a leftover boundary term from below. The finite-range hypothesis gives the finite sums and the degree bound .
- Field versus ring coefficients. The proof uses rank-nullity, which needs a field; over a general ring the numerical inequality can fail. This is the algebraic source of the coefficient-field dependence recorded on the examples page.
Depends on
- Rank-nullity: $\dim_F V=\operatorname{nullity}T+\operatorname{rank}T$
- Rank and nullity of a linear map with finite-dimensional domain
- Kernel and image of a linear map
- Finite-dimensional vector space, and its dimension $\dim_F V$; infinite-dimensional means having no finite basis
- Field
- Exact sequence and short exact sequence in an abelian category
- If $\dim_F V = n$ and $U$ is a linear subspace of $V$, then $U$ is finite-dimensional, $\dim_F U \le n$, and $\dim_F U = n$ if and only if $U = V$
- The dimension formula: for finite-dimensional linear subspaces $U$ and $W$ of $V$, the subspaces $U + W$ and $U \cap W$ are finite-dimensional and $\dim_F(U+W) + \dim_F(U \cap W) = \dim_F U + \dim_F W$
- The polynomial ring over a commutative ring as finitely supported coefficient sequences with convolution
- The integers form a commutative ring
Used by
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Sources
- Liviu Nicolaescu, An Invitation to Morse Theory (2nd ed.), Chapter 2 Section 2.3, printed pp. 46-53 (PDF pp. 56-63) (standard reference, not scraped)
- Alexander Ritter, Morse Homology (Cambridge Part III lecture notes), Lecture 21, PDF pp. 96-101 (standard reference, not scraped)