Micromega: tactics for solving arithmetic goals over ordered rings¶
| Authors: | Frédéric Besson and Evgeny Makarov |
|---|
Short description of the tactics¶
The Psatz module (Require Import Psatz.) gives access to several
tactics for solving arithmetic goals over \(\mathbb{Z}\), \(\mathbb{Q}\), and \(\mathbb{R}\) [1].
It also possible to get the tactics for integers by a Require Import Lia,
rationals Require Import Lqa and reals Require Import Lra.
liais a decision procedure for linear integer arithmetic;niais an incomplete proof procedure for integer non-linear arithmetic;lrais a decision procedure for linear (real or rational) arithmetic;nrais an incomplete proof procedure for non-linear (real or rational) arithmetic;psatzD nwhereDis \(\mathbb{Z}\) or \(\mathbb{Q}\) or \(\mathbb{R}\), andnis an optional integer limiting the proof search depth, is an incomplete proof procedure for non-linear arithmetic. It is based on John Harrison’s HOL Light driver to the external provercsdp[2]. Note that thecsdpdriver is generating a proof cache which makes it possible to rerun scripts even withoutcsdp.
The tactics solve propositional formulas parameterized by atomic arithmetic expressions interpreted over a domain \(D \in \{\mathbb{Z},\mathbb{Q},\mathbb{R}\}\). The syntax of the formulas is the following:
F ::= A ∣ P ∣ True ∣ False ∣ F ∧ F ∣ F ∨ F ∣ F ↔ F ∣ F → F ∣ ¬ F A ::= p = p ∣ p > p ∣ p < p ∣ p ≥ p ∣ p ≤ p p ::= c ∣ x ∣ −p ∣ p − p ∣ p + p ∣ p × p ∣ p ^ n
where \(c\) is a numeric constant, \(x \in D\) is a numeric variable, the
operators \(−, +, ×\) are respectively subtraction, addition, and product;
\(p ^ n\) is exponentiation by a constant \(n\), \(P\) is an arbitrary proposition.
For \(\mathbb{Q}\), equality is not Leibniz equality = but the equality of
rationals ==.
For \(\mathbb{Z}\) (resp. \(\mathbb{Q}\)), \(c\) ranges over integer constants (resp. rational constants). For \(\mathbb{R}\), the tactic recognizes as real constants the following expressions:
c ::= R0 | R1 | Rmul(c,c) | Rplus(c,c) | Rminus(c,c) | IZR z | IQR q | Rdiv(c,c) | Rinv c
where \(z\) is a constant in \(\mathbb{Z}\) and \(q\) is a constant in \(\mathbb{Q}\).
This includes integer constants written using the decimal notation, i.e., c%R.
Positivstellensatz refutations¶
The name psatz is an abbreviation for positivstellensatz – literally
"positivity theorem" – which generalizes Hilbert’s nullstellensatz. It
relies on the notion of Cone. Given a (finite) set of polynomials \(S\),
\(\mathit{Cone}(S)\) is inductively defined as the smallest set of polynomials
closed under the following rules:
\(\begin{array}{l} \dfrac{p \in S}{p \in \mathit{Cone}(S)} \quad \dfrac{}{p^2 \in \mathit{Cone}(S)} \quad \dfrac{p_1 \in \mathit{Cone}(S) \quad p_2 \in \mathit{Cone}(S) \quad \Join \in \{+,*\}} {p_1 \Join p_2 \in \mathit{Cone}(S)}\\ \end{array}\)
The following theorem provides a proof principle for checking that a set of polynomial inequalities does not have solutions [3].
Theorem (Psatz). Let \(S\) be a set of polynomials. If \(-1\) belongs to \(\mathit{Cone}(S)\), then the conjunction \(\bigwedge_{p \in S} p\ge 0\) is unsatisfiable. A proof based on this theorem is called a positivstellensatz refutation. The tactics work as follows. Formulas are normalized into conjunctive normal form \(\bigwedge_i C_i\) where \(C_i\) has the general form \((\bigwedge_{j\in S_i} p_j \Join 0) \to \mathit{False}\) and \(\Join \in \{>,\ge,=\}\) for \(D\in \{\mathbb{Q},\mathbb{R}\}\) and \(\Join \in \{\ge, =\}\) for \(\mathbb{Z}\).
For each conjunct \(C_i\), the tactic calls an oracle which searches for
\(-1\) within the cone. Upon success, the oracle returns a cone
expression that is normalized by the ring tactic (see The ring and field tactic families)
and checked to be \(-1\).
lra: a decision procedure for linear real and rational arithmetic¶
-
lra¶ This tactic is searching for linear refutations using Fourier elimination [4]. As a result, this tactic explores a subset of the Cone defined as
\(\mathit{LinCone}(S) =\left\{ \left. \sum_{p \in S} \alpha_p \times p~\right|~\alpha_p \mbox{ are positive constants} \right\}\)
The deductive power of
lraoverlaps with the one offieldtactic e.g., \(x = 10 * x / 10\) is solved bylra.
lia: a tactic for linear integer arithmetic¶
-
lia¶
This tactic offers an alternative to the omega and romega
tactics. Roughly speaking, the deductive power of lia is the combined deductive
power of ring_simplify and omega. However, it solves linear
goals that omega and romega do not solve, such as the following
so-called omega nightmare [Pug92].
The estimation of the relative efficiency of lia vs omega and
romega is under evaluation.
High level view of lia¶
Over \(\mathbb{R}\), positivstellensatz refutations are a complete proof
principle [5]. However, this is not the case over \(\mathbb{Z}\). Actually,
positivstellensatz refutations are not even sufficient to decide
linear integer arithmetic. The canonical example is \(2 * x = 1 -> \mathtt{False}\)
which is a theorem of \(\mathbb{Z}\) but not a theorem of \({\mathbb{R}}\). To remedy this
weakness, the lia tactic is using recursively a combination of:
- linear positivstellensatz refutations;
- cutting plane proofs;
- case split.
Cutting plane proofs¶
are a way to take into account the discreteness of \(\mathbb{Z}\) by rounding up (rational) constants up-to the closest integer.
-
Theorem
Bound on the ceiling function Let \(p\) be an integer and \(c\) a rational constant. Then \(p \ge c \rightarrow p \ge \lceil{c}\rceil\).
For instance, from 2 x = 1 we can deduce
- \(x \ge 1/2\) whose cut plane is \(x \ge \lceil{1/2}\rceil = 1\);
- \(x \le 1/2\) whose cut plane is \(x \le \lfloor{1/2}\rfloor = 0\).
By combining these two facts (in normal form) \(x − 1 \ge 0\) and \(-x \ge 0\), we conclude by exhibiting a positivstellensatz refutation: \(−1 \equiv x−1 + −x \in \mathit{Cone}({x−1,x})\).
Cutting plane proofs and linear positivstellensatz refutations are a complete proof principle for integer linear arithmetic.
Case split¶
enumerates over the possible values of an expression.
Theorem. Let \(p\) be an integer and \(c_1\) and \(c_2\) integer constants. Then:
\(c_1 \le p \le c_2 \Rightarrow \bigvee_{x \in [c_1,c_2]} p = x\)
Our current oracle tries to find an expression \(e\) with a small range \([c_1,c_2]\). We generate \(c_2 − c_1\) subgoals which contexts are enriched with an equation \(e = i\) for \(i \in [c_1,c_2]\) and recursively search for a proof.
nra: a proof procedure for non-linear arithmetic¶
-
nra¶
This tactic is an experimental proof procedure for non-linear
arithmetic. The tactic performs a limited amount of non-linear
reasoning before running the linear prover of lra. This pre-processing
does the following:
- If the context contains an arithmetic expression of the form \(e[x^2]\) where \(x\) is a monomial, the context is enriched with \(x^2 \ge 0\);
- For all pairs of hypotheses \(e_1 \ge 0\), \(e_2 \ge 0\), the context is enriched with \(e_1 \times e_2 \ge 0\).
After this pre-processing, the linear prover of lra searches for a
proof by abstracting monomials by variables.
nia: a proof procedure for non-linear integer arithmetic¶
-
nia¶
This tactic is a proof procedure for non-linear integer arithmetic.
It performs a pre-processing similar to nra. The obtained goal is
solved using the linear integer prover lia.
psatz: a proof procedure for non-linear arithmetic¶
-
psatz¶
This tactic explores the \(\mathit{Cone}\) by increasing degrees – hence the depth parameter \(n\). In theory, such a proof search is complete – if the goal is provable the search eventually stops. Unfortunately, the external oracle is using numeric (approximate) optimization techniques that might miss a refutation.
To illustrate the working of the tactic, consider we wish to prove the following Coq goal:
As shown, such a goal is solved by intro x. psatz Z 2.. The oracle returns the
cone expression \(2 \times (x-1) + (\mathbf{x-1}) \times (\mathbf{x−1}) + -x^2\)
(polynomial hypotheses are printed in bold). By construction, this expression
belongs to \(\mathit{Cone}({−x^2,x -1})\). Moreover, by running ring we
obtain \(-1\). By Theorem Psatz, the goal is valid.
| [1] | Support for nat and N is obtained by pre-processing the goal with
the zify tactic. |
| [2] | Sources and binaries can be found at https://projects.coin-or.org/Csdp |
| [3] | Variants deal with equalities and strict inequalities. |
| [4] | More efficient linear programming techniques could equally be employed. |
| [5] | In practice, the oracle might fail to produce such a refutation. |