Model Theory of Transseries Matthias Aschenbrenner Overview I. - - PowerPoint PPT Presentation

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Model Theory of Transseries Matthias Aschenbrenner Overview I. - - PowerPoint PPT Presentation

Model Theory of Transseries Matthias Aschenbrenner Overview I. Transseries II. Some Conjectures about Transseries III. Recent Results (joint with L OU VAN DEN D RIES and J ORIS VAN DER H OEVEN ) I. Transseries A reminder on Laurent series ( x


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SLIDE 1

Model Theory of Transseries

Matthias Aschenbrenner

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Overview

  • I. Transseries
  • II. Some Conjectures about Transseries
  • III. Recent Results

(joint with LOU VAN DEN DRIES and JORIS VAN DER HOEVEN)

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  • I. Transseries
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A reminder on Laurent series

The field R( (x−1) ) of (formal) Laurent series over R in descending powers of x consists of all series f(x) = anxn + an−1xn−1 + · · · + a1x

  • infinite part of f

+a0+a−1x−1 + a−2x−2 + · · ·

  • infinitesimal part of f
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A reminder on Laurent series

The field R( (x−1) ) of (formal) Laurent series over R in descending powers of x consists of all series f(x) = anxn + an−1xn−1 + · · · + a1x

  • infinite part of f

+a0+a−1x−1 + a−2x−2 + · · ·

  • infinitesimal part of f

Its subring R[[x−1]] consists of all such f with infinite part 0.

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A reminder on Laurent series

The field R( (x−1) ) of (formal) Laurent series over R in descending powers of x consists of all series f(x) = anxn + an−1xn−1 + · · · + a1x

  • infinite part of f

+a0+a−1x−1 + a−2x−2 + · · ·

  • infinitesimal part of f

Its subring R[[x−1]] consists of all such f with infinite part 0. We differentiate Laurent series termwise so that x′ = 1.

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A reminder on Laurent series

The field R( (x−1) ) of (formal) Laurent series over R in descending powers of x consists of all series f(x) = anxn + an−1xn−1 + · · · + a1x

  • infinite part of f

+a0+a−1x−1 + a−2x−2 + · · ·

  • infinitesimal part of f

Its subring R[[x−1]] consists of all such f with infinite part 0. We differentiate Laurent series termwise so that x′ = 1. Exponentiation for elements of R[[x−1]] can be defined: exp(a0 + a−1x−1 + a−2x−2 + · · · ) = ea0

  • n=0

1 n!(a−1x−1 + a−2x−2 + · · · )n = ea0(1 + b1x−1 + b2x−2 + · · · ) for suitable b1, b2, . . . ∈ R.

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A reminder on Laurent series

Defects of R( (x−1) )

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A reminder on Laurent series

Defects of R( (x−1) )

  • There is no exponential function on all of R(

(x−1) ).

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A reminder on Laurent series

Defects of R( (x−1) )

  • There is no exponential function on all of R(

(x−1) ).

  • x−1 has no antiderivative in R(

(x−1) ).

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A reminder on Laurent series

Defects of R( (x−1) )

  • There is no exponential function on all of R(

(x−1) ).

  • x−1 has no antiderivative in R(

(x−1) ).

  • R(

(x−1) ), as a differential field, existentially defines Z.

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Transseries

To remove these defects, one extends R( (x−1) ) to the field T of transseries:

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Transseries

To remove these defects, one extends R( (x−1) ) to the field T of transseries: formal series of transmonomials, arranged from left to right in decreasing order, with real coefficients; e.g.: eex+ex/2+ex/4+···−3ex2+5x

√ 2−(log x)π+1+x−1+x−2+· · ·+e−x.

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Transseries

To remove these defects, one extends R( (x−1) ) to the field T of transseries: formal series of transmonomials, arranged from left to right in decreasing order, with real coefficients; e.g.: eex+ex/2+ex/4+···−3ex2+5x

√ 2−(log x)π+1+x−1+x−2+· · ·+e−x.

There are many flavors of transseries. We deal here with one particular brand also known as logarithmic-exponential series.

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Transseries

To remove these defects, one extends R( (x−1) ) to the field T of transseries: formal series of transmonomials, arranged from left to right in decreasing order, with real coefficients; e.g.: eex+ex/2+ex/4+···−3ex2+5x

√ 2−(log x)π+1+x−1+x−2+· · ·+e−x.

There are many flavors of transseries. We deal here with one particular brand also known as logarithmic-exponential series. The field T has a somewhat lengthy inductive definition, a feature of which is that series like

1 x + 1 ex + 1 eex + 1 eeex + · · · , 1 x + 1 x log x + 1 x log x log log x + · · ·

are excluded. (“T is not spherically complete.”)

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Working in T

  • Addition and multiplication in T work as for Laurent series.

An example of computing a multiplicative inverse in T:

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Working in T

  • Addition and multiplication in T work as for Laurent series.

An example of computing a multiplicative inverse in T: 1 x − x2e−x = 1 x(1 − xe−x) = x−1(1 + xe−x + x2e−2x + · · · ) = x−1 + e−x + xe−2x + · · ·

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Working in T

  • Addition and multiplication in T work as for Laurent series.

An example of computing a multiplicative inverse in T: 1 x − x2e−x = 1 x(1 − xe−x) = x−1(1 + xe−x + x2e−2x + · · · ) = x−1 + e−x + xe−2x + · · ·

  • A nonzero transseries is declared positive if its leading

coefficient is positive:

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Working in T

  • Addition and multiplication in T work as for Laurent series.

An example of computing a multiplicative inverse in T: 1 x − x2e−x = 1 x(1 − xe−x) = x−1(1 + xe−x + x2e−2x + · · · ) = x−1 + e−x + xe−2x + · · ·

  • A nonzero transseries is declared positive if its leading

coefficient is positive: e−x log x − e−x2 log x − e−x3 log x − · · · > 0

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Working in T

  • Addition and multiplication in T work as for Laurent series.

An example of computing a multiplicative inverse in T: 1 x − x2e−x = 1 x(1 − xe−x) = x−1(1 + xe−x + x2e−2x + · · · ) = x−1 + e−x + xe−2x + · · ·

  • A nonzero transseries is declared positive if its leading

coefficient is positive: e−x log x − e−x2 log x − e−x3 log x − · · · > 0 With this ordering, T becomes an ordered field with R < · · · < log log x < log x < x < ex < eex < · · · .

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Working in T

  • We have an isomorphism

f → exp(f): T → T>0 with inverse g → log(g):

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Working in T

  • We have an isomorphism

f → exp(f): T → T>0 with inverse g → log(g): for example, sinh :=

1 2ex − 1 2e−x ∈ T>0

exp(sinh) = exp 1

2ex

· exp

  • − 1

2e−x

= e

1 2ex ·

  • n=0

1 n!

  • − 1

2e−xn = ∞

  • n=0

(−1)n n!2n e

1 2 ex−nx,

log(sinh) = log

  • ex

2

  • 1 − e−2x

= x − log 2 −

  • n=1

1 ne−2nx.

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Working in T

  • We have an isomorphism

f → exp(f): T → T>0 with inverse g → log(g): for example, sinh :=

1 2ex − 1 2e−x ∈ T>0

exp(sinh) = exp 1

2ex

· exp

  • − 1

2e−x

= e

1 2ex ·

  • n=0

1 n!

  • − 1

2e−xn = ∞

  • n=0

(−1)n n!2n e

1 2 ex−nx,

log(sinh) = log

  • ex

2

  • 1 − e−2x

= x − log 2 −

  • n=1

1 ne−2nx.

The structure (T, 0, 1, +, · , , exp) is well understood: (R, . . . , exp) (T, . . . , exp). (MACINTYRE-MARKER-VAN DEN DRIES, 1990s)

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Working in T

  • Each f ∈ T can be differentiated term by term (with x′ = 1):
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Working in T

  • Each f ∈ T can be differentiated term by term (with x′ = 1):

  • n=0

n!x−1−nex ′ = ex x .

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Working in T

  • Each f ∈ T can be differentiated term by term (with x′ = 1):

  • n=0

n!x−1−nex ′ = ex x . We obtain a derivation f → f ′ : T → T on the field T: (f + g) = f ′ + g′, (f · g)′ = f ′ · g + f · g′.

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Working in T

  • Each f ∈ T can be differentiated term by term (with x′ = 1):

  • n=0

n!x−1−nex ′ = ex x . We obtain a derivation f → f ′ : T → T on the field T: (f + g) = f ′ + g′, (f · g)′ = f ′ · g + f · g′. Its constant field is {f ∈ T : f ′ = 0} = R.

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Working in T

  • Each f ∈ T can be differentiated term by term (with x′ = 1):

  • n=0

n!x−1−nex ′ = ex x . We obtain a derivation f → f ′ : T → T on the field T: (f + g) = f ′ + g′, (f · g)′ = f ′ · g + f · g′. Its constant field is {f ∈ T : f ′ = 0} = R.

  • The dominance relation on T: for 0 = f, g ∈ T,

f g :⇐ ⇒

  • (leading monomial of f)

(leading monomial of g). So for example e−x−x1/2−x1/4−··· ≺ −5e−x/2 − e−x.

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Origins and applications of transseries

Transseries . . .

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Origins and applications of transseries

Transseries . . .

  • were introduced independently by ÉCALLE (HILBERT’s

16th Problem) and by DAHN and GÖRING (TARSKI’s Problem on the ordered exponential field R) in the 1980s;

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Origins and applications of transseries

Transseries . . .

  • were introduced independently by ÉCALLE (HILBERT’s

16th Problem) and by DAHN and GÖRING (TARSKI’s Problem on the ordered exponential field R) in the 1980s;

  • many non-oscillatory functions naturally occurring in

analysis have an asymptotic expansion as transseries;

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Origins and applications of transseries

Transseries . . .

  • were introduced independently by ÉCALLE (HILBERT’s

16th Problem) and by DAHN and GÖRING (TARSKI’s Problem on the ordered exponential field R) in the 1980s;

  • many non-oscillatory functions naturally occurring in

analysis have an asymptotic expansion as transseries;

  • for example, functions definable in many (all?)

exponentially bounded o-minimal expansions of the real field (like the ordered exponential field R).

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Origins and applications of transseries

Transseries . . .

  • were introduced independently by ÉCALLE (HILBERT’s

16th Problem) and by DAHN and GÖRING (TARSKI’s Problem on the ordered exponential field R) in the 1980s;

  • many non-oscillatory functions naturally occurring in

analysis have an asymptotic expansion as transseries;

  • for example, functions definable in many (all?)

exponentially bounded o-minimal expansions of the real field (like the ordered exponential field R).

No function has presented itself in analysis the laws of whose increase, in so far as they can be stated at all, cannot be stated, so to say, in logarithmic-exponential terms. (G. H. HARDY, Orders of Infinity, 1910.)

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Transseries with analytic meaning

Convergent series in R( (x−1) ) define germs at +∞ of real meromorphic functions: the ordered differential field of convergent Laurent series is isomorphic to a “Hardy field.”

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Transseries with analytic meaning

Convergent series in R( (x−1) ) define germs at +∞ of real meromorphic functions: the ordered differential field of convergent Laurent series is isomorphic to a “Hardy field.” ÉCALLE defines the differential subfield Tas of accelero-summable transseries with their analytic counterparts, the analyzable functions.

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Transseries with analytic meaning

Convergent series in R( (x−1) ) define germs at +∞ of real meromorphic functions: the ordered differential field of convergent Laurent series is isomorphic to a “Hardy field.” ÉCALLE defines the differential subfield Tas of accelero-summable transseries with their analytic counterparts, the analyzable functions.

Cette notion de fonction analysable représente probablement l’extension ultime de la notion de fonction analytique (réelle) et elle parait inclusive et stable á un degre inouï. (J. ÉCALLE, Introduction aux Fonctions Analysables et Preuve Constructive de la Conjecture de Dulac, 1992.)

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Transseries with analytic meaning

Convergent series in R( (x−1) ) define germs at +∞ of real meromorphic functions: the ordered differential field of convergent Laurent series is isomorphic to a “Hardy field.” ÉCALLE defines the differential subfield Tas of accelero-summable transseries with their analytic counterparts, the analyzable functions.

Cette notion de fonction analysable représente probablement l’extension ultime de la notion de fonction analytique (réelle) et elle parait inclusive et stable á un degre inouï. (J. ÉCALLE, Introduction aux Fonctions Analysables et Preuve Constructive de la Conjecture de Dulac, 1992.)

VAN DER HOEVEN shows that the differential subfield Tda of T consisting of the differentially algebraic transseries has an analytic counterpart.

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Transseries with analytic meaning

All this supports the intuition that T (and Tas) are universal domains for “asymptotic differential algebra.”

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Transseries with analytic meaning

All this supports the intuition that T (and Tas) are universal domains for “asymptotic differential algebra.” (In a similar way that large algebraically closed fields are universal domains for commutative algebra.)

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Transseries with analytic meaning

All this supports the intuition that T (and Tas) are universal domains for “asymptotic differential algebra.” (In a similar way that large algebraically closed fields are universal domains for commutative algebra.) This can be made precise using the language of model theory.

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  • II. Some Conjectures about Transseries
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The T-Conjecture

From now on, we view T as a (model-theoretic) structure where we single out the primitives 0, 1, +, · , ∂ (derivation), (ordering), (dominance).

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The T-Conjecture

From now on, we view T as a (model-theoretic) structure where we single out the primitives 0, 1, +, · , ∂ (derivation), (ordering), (dominance).

The T-Conjecture

T is model complete.

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The T-Conjecture

From now on, we view T as a (model-theoretic) structure where we single out the primitives 0, 1, +, · , ∂ (derivation), (ordering), (dominance).

The T-Conjecture

T is model complete. (The inclusion of is necessary.) This can be expressed geometrically in terms of systems of algebraic differential (in)equations. (Similar to GABRIELOV’s “theorem of the complement” for real subanalytic sets.)

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The T-Conjecture

Define a d-algebraic set in Tn to be a zero set

  • y ∈ Tn : P1(y) = · · · = Pm(y) = 0
  • f some d-polynomials

Pi(Y1, . . . , Yn) = pi

  • Y1, . . . , Yn, Y ′

1, . . . , Y ′ n, Y ′′ 1 , . . . , Y ′′ n , . . .

  • ver T.
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The T-Conjecture

Define a d-algebraic set in Tn to be a zero set

  • y ∈ Tn : P1(y) = · · · = Pm(y) = 0
  • f some d-polynomials

Pi(Y1, . . . , Yn) = pi

  • Y1, . . . , Yn, Y ′

1, . . . , Y ′ n, Y ′′ 1 , . . . , Y ′′ n , . . .

  • ver T. Define an H-algebraic set in Tn to be the intersection
  • f a d-algebraic set in Tn with a set of the form
  • (y1, . . . , yn) ∈ Tn : yi ≺ 1 for all i ∈ I
  • where I ⊆ {1, . . . , n}.
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The T-Conjecture

Define a d-algebraic set in Tn to be a zero set

  • y ∈ Tn : P1(y) = · · · = Pm(y) = 0
  • f some d-polynomials

Pi(Y1, . . . , Yn) = pi

  • Y1, . . . , Yn, Y ′

1, . . . , Y ′ n, Y ′′ 1 , . . . , Y ′′ n , . . .

  • ver T. Define an H-algebraic set in Tn to be the intersection
  • f a d-algebraic set in Tn with a set of the form
  • (y1, . . . , yn) ∈ Tn : yi ≺ 1 for all i ∈ I
  • where I ⊆ {1, . . . , n}.

The image of an H-algebraic set in Tn, for some n m, under the natural projection Tn → Tm is called sub-H-algebraic.

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The T-Conjecture

Define a d-algebraic set in Tn to be a zero set

  • y ∈ Tn : P1(y) = · · · = Pm(y) = 0
  • f some d-polynomials

Pi(Y1, . . . , Yn) = pi

  • Y1, . . . , Yn, Y ′

1, . . . , Y ′ n, Y ′′ 1 , . . . , Y ′′ n , . . .

  • ver T. Define an H-algebraic set in Tn to be the intersection
  • f a d-algebraic set in Tn with a set of the form
  • (y1, . . . , yn) ∈ Tn : yi ≺ 1 for all i ∈ I
  • where I ⊆ {1, . . . , n}.

The image of an H-algebraic set in Tn, for some n m, under the natural projection Tn → Tm is called sub-H-algebraic. Model completeness of T means (almost): the complement of any sub-H-algebraic set in Tm is again sub-H-algebraic.

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The T-Conjecture

Some related conjectures

1 T is o-minimal at +∞: if X ⊆ T is sub-H-algebraic, then

there is some f ∈ T with (f, +∞) ⊆ X or (f, +∞) ∩ X = ∅.

2 All sub-H-algebraic subsets of Rn ⊆ Tn are semialgebraic. 3 T has NIP (the NonIndependenceProperty of SHELAH).

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The T-Conjecture

Some related conjectures

1 T is o-minimal at +∞: if X ⊆ T is sub-H-algebraic, then

there is some f ∈ T with (f, +∞) ⊆ X or (f, +∞) ∩ X = ∅.

2 All sub-H-algebraic subsets of Rn ⊆ Tn are semialgebraic. 3 T has NIP (the NonIndependenceProperty of SHELAH).

An instance of 1 : if P is a one-variable d-polynomial over T, then there is some f ∈ T and σ ∈ {±1} with sign P(y) = σ for all y > f. (Related to old theorems of BOREL, HARDY, . . . )

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The T-Conjecture

Some related conjectures

1 T is o-minimal at +∞: if X ⊆ T is sub-H-algebraic, then

there is some f ∈ T with (f, +∞) ⊆ X or (f, +∞) ∩ X = ∅.

2 All sub-H-algebraic subsets of Rn ⊆ Tn are semialgebraic. 3 T has NIP (the NonIndependenceProperty of SHELAH).

An instance of 1 : if P is a one-variable d-polynomial over T, then there is some f ∈ T and σ ∈ {±1} with sign P(y) = σ for all y > f. (Related to old theorems of BOREL, HARDY, . . . ) An illustration of 2 : the set of (c0, . . . , cn) ∈ Rn+1 such that c0y + c1y′ + · · · + cny(n) = 0, 0 = y ≺ 1 has a solution in T is a semialgebraic subset of Rn+1.

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The T-Conjecture

A (slightly misleading) sample use of 3 : Let Y = (Y1, . . . , Yn) be a tuple of distinct d-indeterminates. Call an m-tuple σ = (σ1, . . . , σm) of elements of {, ≻} an asymptotic condition, and say that d-polynomials P1, . . . , Pm in Y over T realize σ if there is some a ∈ Tn such that P1(a) σ1 1, . . . , Pm(a) σm 1.

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The T-Conjecture

A (slightly misleading) sample use of 3 : Let Y = (Y1, . . . , Yn) be a tuple of distinct d-indeterminates. Call an m-tuple σ = (σ1, . . . , σm) of elements of {, ≻} an asymptotic condition, and say that d-polynomials P1, . . . , Pm in Y over T realize σ if there is some a ∈ Tn such that P1(a) σ1 1, . . . , Pm(a) σm 1. Fix d, n, r ∈ N. Then the number of asymptotic conditions σ ∈ {, ≻}m which can be realized by some d-polynomials P1, . . . , Pm in Y over T of degree at most d and order at most r grows only polynomially with m.

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The T-Conjecture

ABRAHAM ROBINSON taught us how to prove model completeness results algebraically: develop an extension theory for structures with the same basic universal properties as the structure of interest (which is T in our case).

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The T-Conjecture

ABRAHAM ROBINSON taught us how to prove model completeness results algebraically: develop an extension theory for structures with the same basic universal properties as the structure of interest (which is T in our case). This strategy can be employed to analyze the logical properties

  • f the classical fields C, R, Qp, C(

(t) ), . . .

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The T-Conjecture

ABRAHAM ROBINSON taught us how to prove model completeness results algebraically: develop an extension theory for structures with the same basic universal properties as the structure of interest (which is T in our case). This strategy can be employed to analyze the logical properties

  • f the classical fields C, R, Qp, C(

(t) ), . . . We want to do something similar for T.

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The T-Conjecture

ABRAHAM ROBINSON taught us how to prove model completeness results algebraically: develop an extension theory for structures with the same basic universal properties as the structure of interest (which is T in our case). This strategy can be employed to analyze the logical properties

  • f the classical fields C, R, Qp, C(

(t) ), . . . We want to do something similar for T. For this we introduce the class of H-fields (H: HARDY, HAUSDORFF, HAHN, BOREL), defined to share some basic properties with T.

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H-Fields

H-fields are ordered differential fields in which the ordering and derivation interact in a certain nice way.

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H-Fields

H-fields are ordered differential fields in which the ordering and derivation interact in a certain nice way. First, some notations:

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H-Fields

H-fields are ordered differential fields in which the ordering and derivation interact in a certain nice way. First, some notations: Let K be an ordered differential field with constant field C.

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H-Fields

H-fields are ordered differential fields in which the ordering and derivation interact in a certain nice way. First, some notations: Let K be an ordered differential field with constant field C. Just like T, such a K comes with a dominance relation: f g :⇐ ⇒ ∃c ∈ C>0 : |f| c|g| “g dominates f”

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H-Fields

H-fields are ordered differential fields in which the ordering and derivation interact in a certain nice way. First, some notations: Let K be an ordered differential field with constant field C. Just like T, such a K comes with a dominance relation: f g :⇐ ⇒ ∃c ∈ C>0 : |f| c|g| “g dominates f” We also use: f ≍ g :⇐ ⇒ f g & g f f ≺ g :⇐ ⇒ f g & g f ⇐ ⇒ ∀c ∈ C>0 : |f| c|g| “g strictly dominates f” f ∼ g :⇐ ⇒ f − g ≺ g “asymptotic equivalence”

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H-Fields

Definition

We call K an H-field provided that (H1) f ≻ 1 ⇒ f † > 0; (H2) f ≍ 1 ⇒ f ∼ c for some c ∈ C×; (H3) f ≺ 1 ⇒ f ′ ≺ 1.

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H-Fields

Definition

We call K an H-field provided that (H1) f ≻ 1 ⇒ f † > 0; (H2) f ≍ 1 ⇒ f ∼ c for some c ∈ C×; (H3) f ≺ 1 ⇒ f ′ ≺ 1.

Examples

Every ordered differential subfield K ⊇ R of T is an H-field. (For example, K = R( (x−1) ).)

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H-Fields

Definition

We call K an H-field provided that (H1) f ≻ 1 ⇒ f † > 0; (H2) f ≍ 1 ⇒ f ∼ c for some c ∈ C×; (H3) f ≺ 1 ⇒ f ′ ≺ 1.

Examples

Every ordered differential subfield K ⊇ R of T is an H-field. (For example, K = R( (x−1) ).) H-fields are part of the (more flexible) category of “differential-valued fields” of ROSENLICHT (1980s).

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H-Fields

T-Conjecture (more precise version)

Th(T) is the model companion of the theory of H-fields: T-Conjecture + “H-fields are exactly the ordered differential fields embeddable into ultrapowers of T.”

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H-Fields

T-Conjecture (more precise version)

Th(T) is the model companion of the theory of H-fields: T-Conjecture + “H-fields are exactly the ordered differential fields embeddable into ultrapowers of T.” This suggests an approach to a proof:

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H-Fields

T-Conjecture (more precise version)

Th(T) is the model companion of the theory of H-fields: T-Conjecture + “H-fields are exactly the ordered differential fields embeddable into ultrapowers of T.” This suggests an approach to a proof: Study the extension theory of H-fields.

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H-Fields

T-Conjecture (more precise version)

Th(T) is the model companion of the theory of H-fields: T-Conjecture + “H-fields are exactly the ordered differential fields embeddable into ultrapowers of T.” This suggests an approach to a proof: Study the extension theory of H-fields. Encouraged by some initial positive results, in 1998 VAN DEN DRIES and myself, later (∼2000) joined by VAN DER HOEVEN, embarked on carrying out this program, which we brought to a successful conclusion last year.

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H-Fields

Besides being a real closed H-field, T is Liouville closed: We call a real closed H-field K Liouville closed if ∀f, g ∃y

  • y = 0 & y′ + fy = g
  • .

A Liouville closure of an H-field K is a minimal Liouville closed H-field extension of K.

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H-Fields

Besides being a real closed H-field, T is Liouville closed: We call a real closed H-field K Liouville closed if ∀f, g ∃y

  • y = 0 & y′ + fy = g
  • .

A Liouville closure of an H-field K is a minimal Liouville closed H-field extension of K.

Theorem (A.-VAN DEN DRIES, 2002)

Every H-field has exactly one or exactly two Liouville closures.

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H-Fields

Besides being a real closed H-field, T is Liouville closed: We call a real closed H-field K Liouville closed if ∀f, g ∃y

  • y = 0 & y′ + fy = g
  • .

A Liouville closure of an H-field K is a minimal Liouville closed H-field extension of K.

Theorem (A.-VAN DEN DRIES, 2002)

Every H-field has exactly one or exactly two Liouville closures. So we can’t expect to have quantifier elimination for Th(T) in the language described above.

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H-Fields

Besides being a real closed H-field, T is Liouville closed: We call a real closed H-field K Liouville closed if ∀f, g ∃y

  • y = 0 & y′ + fy = g
  • .

A Liouville closure of an H-field K is a minimal Liouville closed H-field extension of K.

Theorem (A.-VAN DEN DRIES, 2002)

Every H-field has exactly one or exactly two Liouville closures. So we can’t expect to have quantifier elimination for Th(T) in the language described above. What can go wrong when forming Liouville closures may be seen from the asymptotic couple of K.

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Asymptotic Couples

Let K be an H-field.

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Asymptotic Couples

Let K be an H-field. We have the equivalence relation ≍ on K × = K \ {0}.

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Asymptotic Couples

Let K be an H-field. We have the equivalence relation ≍ on K × = K \ {0}. Its equivalence classes vf are elements of an ordered abelian group Γ := v(K ×): vf + vg = v(fg), vf vg ⇐ ⇒ f g.

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Asymptotic Couples

Let K be an H-field. We have the equivalence relation ≍ on K × = K \ {0}. Its equivalence classes vf are elements of an ordered abelian group Γ := v(K ×): vf + vg = v(fg), vf vg ⇐ ⇒ f g. The map f → vf : K × → Γ is a (Krull) valuation.

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Asymptotic Couples

Let K be an H-field. We have the equivalence relation ≍ on K × = K \ {0}. Its equivalence classes vf are elements of an ordered abelian group Γ := v(K ×): vf + vg = v(fg), vf vg ⇐ ⇒ f g. The map f → vf : K × → Γ is a (Krull) valuation.

Example

For K = T: (Γ, +, ) ∼ = (group of transmonomials, · , ).

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Asymptotic Couples

The derivation ∂ of K induces a map γ = vg → γ′ = v(g′): Γ= := Γ \ {0} → Γ. Γ ↑ → Γ

  • γ′

γ† = γ′ − γ

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Asymptotic Couples

The derivation ∂ of K induces a map γ = vg → γ′ = v(g′): Γ= := Γ \ {0} → Γ. The pair consisting of Γ and the map γ → γ† := γ′ − γ is called the asymptotic couple of K. Γ ↑ → Γ

  • γ′

γ† = γ′ − γ

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Asymptotic Couples

The derivation ∂ of K induces a map γ = vg → γ′ = v(g′): Γ= := Γ \ {0} → Γ. The pair consisting of Γ and the map γ → γ† := γ′ − γ is called the asymptotic couple of K. Always (Γ=)† < (Γ>)′ . Γ ↑ → Γ

  • γ′

γ† = γ′ − γ

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Asymptotic Couples

Exactly one of the following statements holds:

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Asymptotic Couples

Exactly one of the following statements holds:

1 (Γ=)† < γ < (Γ>)′ for a (necessarily unique) γ.

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Asymptotic Couples

Exactly one of the following statements holds:

1 (Γ=)† < γ < (Γ>)′ for a (necessarily unique) γ. 2 (Γ=)† has a largest element.

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Asymptotic Couples

Exactly one of the following statements holds:

1 (Γ=)† < γ < (Γ>)′ for a (necessarily unique) γ. 2 (Γ=)† has a largest element. 3 (Γ=)† has no supremum; equivalently: Γ = (Γ=)′.

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Asymptotic Couples

Exactly one of the following statements holds:

1 (Γ=)† < γ < (Γ>)′ for a (necessarily unique) γ.

We call such γ a gap in K.

2 (Γ=)† has a largest element. 3 (Γ=)† has no supremum; equivalently: Γ = (Γ=)′.

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Asymptotic Couples

Exactly one of the following statements holds:

1 (Γ=)† < γ < (Γ>)′ for a (necessarily unique) γ.

We call such γ a gap in K.

2 (Γ=)† has a largest element.

We say that K is grounded.

3 (Γ=)† has no supremum; equivalently: Γ = (Γ=)′.

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Asymptotic Couples

Exactly one of the following statements holds:

1 (Γ=)† < γ < (Γ>)′ for a (necessarily unique) γ.

We call such γ a gap in K.

2 (Γ=)† has a largest element.

We say that K is grounded.

3 (Γ=)† has no supremum; equivalently: Γ = (Γ=)′.

We say that K has asymptotic integration.

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Asymptotic Couples

Exactly one of the following statements holds:

1 (Γ=)† < γ < (Γ>)′ for a (necessarily unique) γ.

We call such γ a gap in K.

2 (Γ=)† has a largest element.

We say that K is grounded.

3 (Γ=)† has no supremum; equivalently: Γ = (Γ=)′.

We say that K has asymptotic integration.

Examples

1 K = C; 2 K = R(

(x−1) );

3 K = T (or any other Liouville closed K).

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Asymptotic Couples

Exactly one of the following statements holds:

1 (Γ=)† < γ < (Γ>)′ for a (necessarily unique) γ.

We call such γ a gap in K.

2 (Γ=)† has a largest element.

We say that K is grounded.

3 (Γ=)† has no supremum; equivalently: Γ = (Γ=)′.

We say that K has asymptotic integration. In 1 we have two Liouville closures: if γ = vg, then we have a choice when adjoining

  • g: make it ≻ 1 or ≺ 1.

In 2 we have one Liouville closure: if vg = max(Γ=)†, then

  • g ≻ 1 in each Liouville closure of K.

In 3 we may have one or two Liouville closures.

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  • III. Recent Results
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Present state of knowledge

The conjectures stated before (and more) turned out to be true!

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Present state of knowledge

The conjectures stated before (and more) turned out to be true!

Main Theorem

The following statements axiomatize a complete theory: K is

1 a Liouville closed H-field; 2 ω-free [to be explained]; 3 newtonian [to be explained].

Moreover, T is a model of these axioms.

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Present state of knowledge

The conjectures stated before (and more) turned out to be true!

Main Theorem

The following statements axiomatize a complete theory: K is

1 a Liouville closed H-field; 2 ω-free [to be explained]; 3 newtonian [to be explained].

Moreover, T is a model of these axioms.

Corollary

T is decidable; in particular: there is an algorithm which, given d-polynomials P1, . . . , Pm in Y1, . . . , Ym over Z[x], decides whether P1(y) = · · · = Pm(y) = 0 for some y ∈ Tn.

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Present state of knowledge

The proof of the main theorem yields something stronger:

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Present state of knowledge

The proof of the main theorem yields something stronger: T has quantifier elimination, after also introducing primitives for multiplicative inversion and the predicates Λ, Ω, interpreted as follows, with ℓ0 = x, ℓn+1 = log ℓn: Λ(f) ⇐ ⇒ f < λn := 1

ℓ0 + 1 ℓ0ℓ1 + · · · + 1 ℓ0ℓ1···ℓn , for some n

Ω(f) ⇐ ⇒ f < ωn := 1

ℓ2

0 +

1 (ℓ0ℓ1)2 + · · · + 1 (ℓ0ℓ1···ℓn)2 , for some n.

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Present state of knowledge

The proof of the main theorem yields something stronger: T has quantifier elimination, after also introducing primitives for multiplicative inversion and the predicates Λ, Ω, interpreted as follows, with ℓ0 = x, ℓn+1 = log ℓn: Λ(f) ⇐ ⇒ f < λn := 1

ℓ0 + 1 ℓ0ℓ1 + · · · + 1 ℓ0ℓ1···ℓn , for some n

Ω(f) ⇐ ⇒ f < ωn := 1

ℓ2

0 +

1 (ℓ0ℓ1)2 + · · · + 1 (ℓ0ℓ1···ℓn)2 , for some n.

Remarks

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Present state of knowledge

The proof of the main theorem yields something stronger: T has quantifier elimination, after also introducing primitives for multiplicative inversion and the predicates Λ, Ω, interpreted as follows, with ℓ0 = x, ℓn+1 = log ℓn: Λ(f) ⇐ ⇒ f < λn := 1

ℓ0 + 1 ℓ0ℓ1 + · · · + 1 ℓ0ℓ1···ℓn , for some n

Ω(f) ⇐ ⇒ f < ωn := 1

ℓ2

0 +

1 (ℓ0ℓ1)2 + · · · + 1 (ℓ0ℓ1···ℓn)2 , for some n.

Remarks

  • ωn = ω(λn) where ω(z) := −2z′ − z2 (related to the

Schwarzian derivative);

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Present state of knowledge

The proof of the main theorem yields something stronger: T has quantifier elimination, after also introducing primitives for multiplicative inversion and the predicates Λ, Ω, interpreted as follows, with ℓ0 = x, ℓn+1 = log ℓn: Λ(f) ⇐ ⇒ f < λn := 1

ℓ0 + 1 ℓ0ℓ1 + · · · + 1 ℓ0ℓ1···ℓn , for some n

Ω(f) ⇐ ⇒ f < ωn := 1

ℓ2

0 +

1 (ℓ0ℓ1)2 + · · · + 1 (ℓ0ℓ1···ℓn)2 , for some n.

Remarks

  • ωn = ω(λn) where ω(z) := −2z′ − z2 (related to the

Schwarzian derivative);

  • (ωn) also appears in classical non-oscillation theorems for

2nd order linear differential equations.

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ω-freeness

(ωn) has no “pseudolimit” in T: there are no f ∈ T with f = 1

ℓ2

0 +

1 (ℓ0ℓ1)2 + 1 (ℓ0ℓ1ℓ2)2 + · · · + 1 (ℓ0ℓ1···ℓn)2 + · · · + smaller terms.

This fact about T translates into ∀∃-statements about H-fields:

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ω-freeness

(ωn) has no “pseudolimit” in T: there are no f ∈ T with f = 1

ℓ2

0 +

1 (ℓ0ℓ1)2 + 1 (ℓ0ℓ1ℓ2)2 + · · · + 1 (ℓ0ℓ1···ℓn)2 + · · · + smaller terms.

This fact about T translates into ∀∃-statements about H-fields:

Definition

An H-field K with asymptotic integration is ω-free if ∀f ∃g

  • 1 ≺ g & f −ω(−g††) (g†)2

(here a† := a′/a for a = 0).

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ω-freeness

(ωn) has no “pseudolimit” in T: there are no f ∈ T with f = 1

ℓ2

0 +

1 (ℓ0ℓ1)2 + 1 (ℓ0ℓ1ℓ2)2 + · · · + 1 (ℓ0ℓ1···ℓn)2 + · · · + smaller terms.

This fact about T translates into ∀∃-statements about H-fields:

Definition

An H-field K with asymptotic integration is ω-free if ∀f ∃g

  • 1 ≺ g & f −ω(−g††) (g†)2

(here a† := a′/a for a = 0). ω-freeness is amazingly robust, and prevents deviant behavior: if K is ω-free, then

  • every d-algebraic H-field extension of K is still ω-free;
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ω-freeness

(ωn) has no “pseudolimit” in T: there are no f ∈ T with f = 1

ℓ2

0 +

1 (ℓ0ℓ1)2 + 1 (ℓ0ℓ1ℓ2)2 + · · · + 1 (ℓ0ℓ1···ℓn)2 + · · · + smaller terms.

This fact about T translates into ∀∃-statements about H-fields:

Definition

An H-field K with asymptotic integration is ω-free if ∀f ∃g

  • 1 ≺ g & f −ω(−g††) (g†)2

(here a† := a′/a for a = 0). ω-freeness is amazingly robust, and prevents deviant behavior: if K is ω-free, then

  • every d-algebraic H-field extension of K is still ω-free;
  • K has only one Liouville closure; . . .
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ω-freeness

(ωn) has no “pseudolimit” in T: there are no f ∈ T with f = 1

ℓ2

0 +

1 (ℓ0ℓ1)2 + 1 (ℓ0ℓ1ℓ2)2 + · · · + 1 (ℓ0ℓ1···ℓn)2 + · · · + smaller terms.

This fact about T translates into ∀∃-statements about H-fields:

Definition

An H-field K with asymptotic integration is ω-free if ∀f ∃g

  • 1 ≺ g & f −ω(−g††) (g†)2

(here a† := a′/a for a = 0). ω-freeness is amazingly robust, and prevents deviant behavior: if K is ω-free, then

  • every d-algebraic H-field extension of K is still ω-free;
  • K has only one Liouville closure; . . .

Caveat: there are Liouville closed H-fields which are not ω-free!

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Newtonianity

Newtonian says that certain kinds of d-polynomials in one variable over K have a zero y 1 in K.

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Newtonianity

Newtonian says that certain kinds of d-polynomials in one variable over K have a zero y 1 in K. The definition involves compositional conjugation:

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Newtonianity

Newtonian says that certain kinds of d-polynomials in one variable over K have a zero y 1 in K. The definition involves compositional conjugation:

  • replacing the derivation ∂ of K by φ−1∂ (φ ∈ K ×) yields a

new ordered differential field K φ, and

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Newtonianity

Newtonian says that certain kinds of d-polynomials in one variable over K have a zero y 1 in K. The definition involves compositional conjugation:

  • replacing the derivation ∂ of K by φ−1∂ (φ ∈ K ×) yields a

new ordered differential field K φ, and

  • rewriting a d-polynomial P over K in terms of φ−1∂ yields a

d-polynomial Pφ over K φ such that Pφ(y) = P(y) for all y.

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Newtonianity

Newtonian says that certain kinds of d-polynomials in one variable over K have a zero y 1 in K. The definition involves compositional conjugation:

  • replacing the derivation ∂ of K by φ−1∂ (φ ∈ K ×) yields a

new ordered differential field K φ, and

  • rewriting a d-polynomial P over K in terms of φ−1∂ yields a

d-polynomial Pφ over K φ such that Pφ(y) = P(y) for all y. For example, Y φ = Y, (Y ′)φ = φY ′, (Y ′′)φ = φ2Y ′′ + φ′Y ′, . . . Only use “admissible” φ: those for which K φ is again an H-field.

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Newtonianity

Newtonian says that certain kinds of d-polynomials in one variable over K have a zero y 1 in K. The definition involves compositional conjugation:

  • replacing the derivation ∂ of K by φ−1∂ (φ ∈ K ×) yields a

new ordered differential field K φ, and

  • rewriting a d-polynomial P over K in terms of φ−1∂ yields a

d-polynomial Pφ over K φ such that Pφ(y) = P(y) for all y. For example, Y φ = Y, (Y ′)φ = φY ′, (Y ′′)φ = φ2Y ′′ + φ′Y ′, . . . Only use “admissible” φ: those for which K φ is again an H-field. The operation P → Pφ on d-polynomials can be studied using Lie-theoretic methods.

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Newtonianity

Theorem (∼ 2009)

Suppose K is ω-free and P = 0. Then there exists a nonzero NP ∈ C[Y](Y ′)N so that for all sufficiently small admissible φ: Pφ ∼ d · NP, d = dφ ∈ K ×.

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Newtonianity

Theorem (∼ 2009)

Suppose K is ω-free and P = 0. Then there exists a nonzero NP ∈ C[Y](Y ′)N so that for all sufficiently small admissible φ: Pφ ∼ d · NP, d = dφ ∈ K ×.

Definition

An ω-free H-field K is newtonian if every d-polynomial P = 0 in

  • ne variable over K with deg NP = 1 has a zero y 1 in K.
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Newtonianity

Theorem (∼ 2009)

Suppose K is ω-free and P = 0. Then there exists a nonzero NP ∈ C[Y](Y ′)N so that for all sufficiently small admissible φ: Pφ ∼ d · NP, d = dφ ∈ K ×.

Definition

An ω-free H-field K is newtonian if every d-polynomial P = 0 in

  • ne variable over K with deg NP = 1 has a zero y 1 in K.

The newtonian condition makes it possible to develop a Newton diagram method for d-polynomials.

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Newtonianity

Theorem (sample application of Newton diagrams)

Every odd-degree d-polynomial over a real closed ω-free newtonian H-field has a zero.

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Newtonianity

Theorem (sample application of Newton diagrams)

Every odd-degree d-polynomial over a real closed ω-free newtonian H-field has a zero. Some basic facts that go into the proof of our main theorem:

  • Any real closed ω-free H-field has a unique newtonization.
  • Any ω-free H-field has a unique Newton-Liouville closure.
  • No ω-free newtonian Liouville closed H-field has a proper

d-algebraic H-field extension with the same constant field.

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Newtonianity

Theorem (sample application of Newton diagrams)

Every odd-degree d-polynomial over a real closed ω-free newtonian H-field has a zero. Some basic facts that go into the proof of our main theorem:

  • Any real closed ω-free H-field has a unique newtonization.
  • Any ω-free H-field has a unique Newton-Liouville closure.
  • No ω-free newtonian Liouville closed H-field has a proper

d-algebraic H-field extension with the same constant field.

Corollary

Tda =

  • Newton-Liouville closure of R(ℓ0, ℓ1, . . . )
  • T.
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What’s next?

. . . see Lou’s talk.