Semialgebraic Solution
of Linear Equation with
Continuous
Semialgebraic Coefficients
1 Introduction
C. Fefferman gave in [1], by means of analysis techniques, a necessary and sufficient condition for the existence of a continuous solution of the system
(1.1) |
given the continuous functions and . More precisely, C. Fefferman, applying the theory of the Glaeser refinements for bundles, proved that system (1.1) has a continuous solution iff the affine Glaeser-stable bundle associated with system (1.1) has no empty fiber.
Moreover J. Kollár, in the same (joint) paper [1], starting from the above result and making use of algebraic geometry techniques as blowing up and at singular points, proved that fixed the polynomials and assuming system (1.1) solvable, then:
1) if is semialgebraic then there is a solution of such that the are also semialgebraic;
2) let (where ) be an open set such that is on for some or . Then there is a solution of such that the are also on .
In this paper we generalise and prove, by using Fefferman’s techniques, a part of the above results shown by Kollár. More in details, we consider a compact metric space and a system of linear equations
(1.2) |
where
is continuous semialgebraic, with denoting the set of real matrices and
being themselves continuous semialgebraic functions on .
Our aim is to find a necessary and sufficient condition for the existence of a solution of system (1.2), with the continuous and semialgebraic.
In particular, we find that a continuous and semialgebraic solution exists if and only if there exits a continuous solution and a semialgebraic one (they may possibly be different) under the hypothesis that
is discontinuous at most at isolated points for each where:
is the fiber at of the singular affine bundle associated to
system (1.2);
is an euclidean ball of small radius;
a vector of ;
the projection of on .
Moreover, we show how to calculate a continuous and semialgebraic solution of system (1.2).
2 The setting
Let us start by setting some notations and by showing some important preliminary results that will be used to pursue our goal. We shall endow every used here with euclidean norm.
Notation 1: Let be an affine space in and . We denote the projection of on (i.e. the point that makes the euclidean norm of as small as possible) by .
Notation 2: If , consider and . We denote
Notation 3: We denote the -th column of a matrix by .
Lemma 2.1.
Consider
i) a compact space,
ii) a matrix valued semialgebraic function,
iii) a map,
and let be the projection of on .
If is a semialgebraic function on then is a semialgebraic function on .
Proof.
First of all notice that
Then consider for a given
The idea we want to pursue is to project the solution on and apply the Tarski-Seidenberg theorem, thus concluding that the projection is semialgebraic. Actually, to apply the Tarski-Seidenberg theorem we need that the dimension of the projection space be independent of , so we will be localizing the problem on the . As a matter of fact on the dimension of is constant by definition of . From the semialgebraicity of it is then trivial to deduce that is a semialgebraic (possibly empty) subset on since:
the linear independence of can be translated in terms of the minors of ;
the condition that the vectors of are generators of can be expressed by the following first-order formula
As is semialgebraic by definition we get that that condition is semialgebraic
This is the reason why it suffices to prove the lemma for since if a function is semialgebraic on a finite collection of semialgebraic sets then it is semialgebraic on their union:
if there is nothing to prove;
if let
If we define
If we define
where and the columns of form a basis of given by . In this case we will still write in place of and we will still write for .
Let us now factorize by QR decomposition: . As a matter of fact if every matrix can be written as the product of a squared orthogonal matrix and a rectangular matrix with the blockwise structure
where is an upper triangular matrix and is the zero matrix.
The set is semialgebraic since it is the graph of a semialgebraic function, hence
is semialgebraic too. In fact, has semialgebraic entries since the ones of are semialgebraic and the QR decomposition can be computed by multiplying iteratively by appropriate Householder matrices. These matrices are constructed in the following way.
Letting be the euclidean norm, , , and where is the identity matrix we have that . Now, repeating the procedure on the minor of obtained by eliminating the first row and column (the new matrix has the form where is calculated as mutatis mutandis) we reach the goal. The matrix of the QR decomposition is then the transpose of the product of all the constructed in the previous way. The result is semialgebraic because in the construction we used only sums, products and square root extractions of semialgebraic functions (as the entries of are semialgebraic) that are semialgebraic by definition of semialgebraic function.
We next put
and see that if then, by the definition of , we can write
It is important to observe that is obviously a vector space of .
Now, recalling the Tarski-Seidenberg theorem111Tarski-Seidenberg Theorem a semialgebraic subset of and , the projection on the first coordinates. Then is a semialgebraic subset of . Corollary If is a semialgebraic subset of , its image by the projection on the space of the first coordinates is a semialgebraic subset of ., we notice that the projection of onto is semialgebraic. It follows that
is semialgebraic too. By construction, is the graph of and so the proof of Lemma 2.1 is complete. ∎
Theorem 2.2.
The system has a semialgebraic solution iff, given a solution of the system,
Proof.
First of all we show that given a solution of the system, if is semialgebraic then there exists a semialgebraic solution of the system (1.2). Notice that
From this we get that
So is a semialgebraic solution of the system.
Conversely we show that, given a solution of the system, if the system has a semialgebraic solution then
In fact
Decomposing and into their components onto and we get, respectively,
Hence
so that
Therefore
and since is semialgebraic by Lemma 2.1, so is . ∎
Let us notice that Theorem 2.2 shows also that, given system (1.2), is uniquely defined on since it is independent of the solution .
At this point let us consider a singular affine bundle (or bundle for short) (see [1]), meaning a family of affine subspaces , parametrized by the points . The affine subspaces
are the fibers of the bundle . (Here, we allow the empty set Ø and the whole space as affine subspaces of .)
Now we define to be the -th Glaeser refinement of and to be the Glaeser-stable refinement of (their fibers will respectively be denoted by and ). Notice that the projection on the fibers of is not linear as the fibers are affine spaces and not vector spaces.
Lemma 2.3.
Consider a compact metric space and an system of linear equations
where for each the entries of
are themselves semialgebric functions on .
If there is a semialgebraic solution of the system then :
Proof.
Consider and . We define
By the definition of it is true that
and from this expression that
Now, is semialgebraic, as is semialgebraic (since it is constant) and so is semialgebraic by Lemma 2.1. In conclusion, is semialgebraic, for it is the sum of semialgebraic functions (recall that is also semialgebraic by Lemma 2.1 since is a semialgebraic solution of system (1.2)). ∎
After this let us introduce a new notion.
Definition 2.4.
Consider a compact metric space . Given whose Glaeser-stable subbundle is denoted by , a semialgebric Glaeser-stable bundle associated with the system (1.2) is a family of affine subspaces , parametrized by the points , where the fibers are given by:
It is important to notice that is indeed a bundle, for is an affine space, for all . As a matter of fact:
if the space is affine as we assume the empty space to be an affine space;
if , given and , we have that
(2.1) |
Property (2.1) holds because is an affine space and since we have
Moreover
Considering we get that on
We now consider the orthogonal decomposition of on to and
Recalling then that the projection of a solution of system (1.2) on is unique and considering gives
Note that is semialgebraic on by Lemma 2.1 and by the uniqueness of (that is and is semialgebraic by hypothesis). Moreover
is semialgebraic by Lemma 2.1 as is semialgebraic since it is constant.
Remark 2.5.
By Lemma 2.3 it follows that if a semialgebraic solution of system (1.2) exists then . Moreover if for an there is a such that is semialgebraic then since if then
where the equality in the second line is due to the uniqueness of the projection of a solution and to the fact that is parallel to .
Therefore is semialgebraic as it is a sum of semialgebraic functions by Lemma 2.1 and thus .
3 Existence of a continuous semialgebraic solution
Theorem 3.1.
Consider a compact metric space and a system of linear equations
(3.1) |
where the entries of
are themselves semialgebric functions on .
Assume that for every given such that there exists such that is discontinuous, at most, at isolated points (that therefore must be finitely many). Then system (3.1) has a continuous semialgebraic solution iff has no empty fiber.
Proof.
At first we show that if has no empty fiber then the system (1.2) has a continuous semialgebraic solution .
By hypothesis we have that s.t. is semialgebraic and possibly discontinuous at isolated points.
We next claim that
(3.2) | ||||
To prove the claim, let us, by contradiction, assume that
We have two cases:
1. . Then has infinitely many isolated discontinuity points which is impossible because is semialgebraic;
2. . If then since : this is clearly not possible as we took . Now, if we had then on the one hand
and, on the other,
Therefore
This is impossible since would be continuous at , contrary to the assumption. Thus (3.2) holds.
Now notice that the set of balls , where is chosen in , is an open cover of the compact space . Then there is such that is an open cover of . Consider
Notice that is semialgebraic and continuous on , , and that for each as for every and for all . Moreover, since is an open covering of . Hence the function
is a semialgebraic and continuous solution of the system on .
Conversely, we show that if system (1.2) has a continuous semialgebraic solution then has no empty fiber.
By Remark 2.5 we have that but has no empty fiber because there is a continuous solution of the system (1.2) as shown in [1].
The proof of the theorem is complete. ∎
Theorem 3.1 gives therefore an answer to the initial problem of determining a necessary and sufficient condition for the existence of a solution of the system (1.2), with the continuous and semialgebric.
Remark 3.2.
Let be the projection of a solution of the system (1.2) on . If is not semialgebraic the system has no semialgebraic solution by Theorem 2.2 and so it has no continuous and semialgebraic solution. Otherwise, if is semialgebraic then since if we may write
that is semialgebraic by Lemma 2.1. We have that , since is the projection of on . This implies that for each there is a such that is semialgebraic iff is semialgebraic and is discontinuous at most at isolated points for each iff and are discontinuous at most at isolated points for each . Note that if there is a such that is semialgebraic then is semialgebraic for all by Remark 2.5.
Theorem 3.3.
Let be the projection of a solution of the system on and assume that for every given there exists such that is discontinuous, at most, at isolated points (which is the same as saying that and are discontinuous at most at isolated points for every given ). We have that the following conditions are equivalent:
i) The system has a continuous and semialgebraic solution.
ii) has no empty fiber.
iii) The Glaeser-stable refinement associated with the system has no empty fibers and is semialgebraic.
iv) The system has a continuous solution and a semialgebraic one (they may possibly be different).
Proof.
References
- [1] C. Fefferman, J. Kollár, Continuous Solutions of Linear Equations, From Fourier analysis and number theory to Radon transforms and geometry, Dev. Math., vol. 28, Springer, New York, 2013, pp. 233-282. MR 2986959