C OMPOSITIO M ATHEMATICA
W ILFRED K APLAN
The topological structure of a variety defined by an equation
Compositio Mathematica, tome 5 (1938), p. 327-346
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by
anequation1)
by Wilfred
Kaplan
Scituate Ctr., Mass.
§
1. Introduction.1. We consider the
following problem:
Let there be
given
anexplicit equation (1) f(Xi,
X2’ ...,Xn)
= 0determining
a certainconfiguration
S in Euclidean n-dimen- sional space; in what cases andby
what methods can one pass from theequation
to thetopological
structure of S?For
example,
consider theequation
How can one discover
practically
thetopology, connectivities,
Betti numbers etc. of theconfiguration thereby
determined?More
generally
we can consider the case of asystem
of suchequations,
e.g.:Again
thequestion
is the same, of apractical analysis
of thetopology
of the locus.It is
possible
to consider certainspecial
cases of the abovewhere a
geometric interpretation
ispossible. Thus,
thesystem (3)
can be
regarded
asrepresenting
the space of all directedtangents
to the 3-dimensional
sphere-surface
1 ) 1 should like to acknowledge my appreciation to Professor H. HOPF for his
friendly advice and encouragement in this work.
Then various
geometrical
tools can bebrought
intoplay
to findthe
topology.
The recent work of Ehresmann is in this direction2 ).
There was also a considerable interest in this
problem
in theearly days
oftopology. Dyck 3)
madeinvestigations concerning
the characteristic of certain manifolds defined
by equations, though
his methods arecomplicated
and his results difficult tounderstand. Iironeeker’s work
4)
onsystems
ofequations
may also be considered as related.Poincaré,
in his firstapproach
totopology 5 ),
seems to haveexactly
ourproblem
in mind. In hislater
developments 6)
of thetheory,
he returnsagain
tospecif ic equations
and seems toregard
theirtopological analysis
as afundamental
goal
of the combinatorialtheory
he haddeveloped.
2. In the
following paragraphs
we shallexplain
a naturaland
simple
methodby which,
for a certainlarge
class ofexamples,
the
problem
can befully
solved. Moreover this method can begeneralized
to a muchlarger body
of cases; but in thepresent note,
which weregard
as a firstattempt
at theproblem,
werestrict the
exposition
to the mostsimple examples.
W’eplan,
atsome future
date,
topresent
thegeneralizations
in similardetail;
at
present
we content ourselves with a sketch of them at the endof this paper
(§ 3).
Specifically,
wegive
in full detail here the method in the caseof
equations
of formThe essentiel
stcp
is the"linearization"
of the functions qJi, 2) C. J:4:HRESMANX, Sur la topologie de certains espaces homogènes [Ann. ofMath. (2) 35 (1934), 396-443]; Sur la topologie de certaines variétés algébriques
réelles [Journ. Math. Pures Appl. (9) 1 (1937), 69-100].
3) Beitrâge zur Analysis Situs. 1 [Math. Ann. 32 (1888), 457-512] ; II [Math.
Ann. 37 (1890), 273-316].
4) LTber Systeme von Funktionen mehrerer 1°ariabeIn [Monatsberichte Berl.
Akad. 1869, 159-193, 688-G98].
5) Analysis Situs [Journ. Ecole Polytechn. (2) 1 (1895), 1-121]. Note es- pecially the approach to the theory in the first few sections.
6) 3e Complément à l’Analysis Situs [Bull. Soc. Math. France 30 (1902), 49-70]. Note especially the problem stated on page 49.
4e Complément [Journ. Math. Pures Appl. (5) 8 (1902), 169-214].
5e Complément [Rend. Cire. Mat. Palermo 18 (1904), 45-110]. Note especially
p. 50, the study of the topological structure of the n-dimensional cône. See below in this paper, Theorem 1, 3; also 4, where the derived non-homogeneous équation
is treated.
by replacing
themby piecewise
linear functions with corners at the extrema of the qui. We are then able topicture
theconfiguration
as
composed
ofhyperplanar pieces (which
are convexcells),
whoseincidences can be
directly
determined. From thispicture
it isthen easy to
give
arepresentation
as a finite or infinite cell-complex
whose incidence matrices arefully
known. We nextgive
some
applications
to illustrate the method and alsopoint
out itssignificance
withregard
tosingularities
of the locus(see 6,
TheoremIV).
In the
following
section(§ 3)
we consider without detail thegeneralization
of the method toequations
of formthough
the limitations to effective use of the method become verygreat.
Here the essentialstep
isagain
a,linearization"
ofthe pi, to
piecewise planar
functions. Thetopological
structure isthen
given
as beforeby hyperplanar pieces (convex cells)
whoseincidences are known.
Finally
we considerbriefly
thegeneral
case of anequation (1)
and
point
out theprofound
difficulties. We consider also thecase of a
system
ofequations,
which we reduce to theprevious
case of a
single equation.
§
2.Séparation
of variables.3. We consider first a
single equation
of the formwhere the qqi are real functions of real xi. ’l’he
equation
is of"separated" type (by analogy
with differentialequations),
aspecial
case, but ofimportance.
We assume the qJi
satisfy
the conditions:(ce) They
are defined and continuous for - ooxi +
ce.(p) They
arepiecewise strictly
monotone orconstant;
i.e.the
xi-axis
can be divided into intervals in each of which the function qJi is eitherstrictly
monotone or else a constant.There are of course several
possibilities
in(fJ)
as to the numberof intervals. We choose the
lengths
aslarge
aspossible.
Theremay be then a finite number of
intervals, corresponding
to divisionpoints - oo,
ai, ..., as,-t-oo;
or there may beinfinitely
many in onedirection,
e.g. with divisionpoints - 00,
al, ..., as, ...;or there may be
infinitely
many in bothdirections,
with divisionpoints...,
a_s, ..., ao, ..., at, ... We shall consideronly
the lastcase, the others
being easily
derived from it.(We
leave thederivation to the
reader.)
Suppose
further that we know thefunctions CPi well,
in thefollowing
sense:( y )
We know the exact subdivisionpoints ai
ofthe xi
axisas in
(fl);
we know the exact values ofCPi(Xi)
at these subdivisionpoints.
THEOREM I. Let
q,(x,), (i = 1, 2,
...,n),
be realfunctions of
real xi
satisfying
the conditions( ce ), (fl), (y). Then
thefull topological
structure
of
thevariety
Vdefined by
can be determined.
By
"can be determined" we mean arepresentation
as describedin
2;
i.e. wegive
ahomeomorphic representation
of Tj as a linearcell-complex
in n-dimensional Euclidean space; we thengive
thefull incidence matrices.
Proof of
Theorem I. Thefollowing
two facts are evident:Firstly,
letbe a
topological transformation,
foreach i,
of thexi-axis
ontothe
x2-axis;
then the transformationof Rn onto R’’t is
topological
and V is transformedtopologically
onto V’.
Secondly,
let I( a Xi b)
be an interval of thegiven
sub-division of the
xi-axis ;
let I’(a’ x’ b’)
be an interval of thex. axis;
then the interval I can bemapped topologically
onto theinterval I’ in such a way that
q,(x,(r[) ) « y,(x[)
is linear in theinterval l’. If
lJ?i(Xi)
isstrictly
monotone inI,
the transformation isgiven explicitly by
If
qJi(Xi)
is constant inI,
the transformation becomes(In
the case of an infiniteinterval,
suchas a 0153
;+ oo
the transformation issimply
Now suppose
that, corresponding
to thegiven
subdivision of thexi-axis,
we have made a similarsubdivision, arbitrarily chosen,
of thexz-axis.
We canthen, by
means of the above trans-formation,
map the intervals I of thexi-axis
onto the corres-ponding
intervals I’ of theX’ «
. Weclearly
obtainthereby
a
topological
transformation of thex2-axis
onto thexz-axis,
representable by x[ == fi(Xi)’ (i =1, 2,
...,n). According
to ourfirst remark
above,
we now have atopological
transformation of V onto V’.Let us number the intervals of the
xi-axis by
the indexpji
and the
corresponding
ones of thexi-axis by
the indexq{i.
Thuslet
p{i represent b{i xi bii+1
andqii represent aii xi Ç a{i+l
(ii==O, + 1 , + 2 , ... ) .
We then have anenumeration (q{l, q(z,
...,qn i.
of the n-dimensional intervals of a subdivision of
(x’l,
...,xn)
space.
But in this space V’ is
given by
theéquation
where
y,( Xi ’) = 13iix" i + nP,.»i, lii i
andm2i constants,
in the intervalqji.
Thatis,
V’ isgiven by
in the n-dimensional interval
(qil,
...,q/n ). V’
is thuscomposed
of
hyperplanar pieces of (n-1 )
dimensions.(Exceptionally,
ifall
l2i
=0,
thepiece
may be the wholeinterval,
i.e.n-dimensional.)
A
hyperplane (5)
may of course intersect an interval(qil q j")
in a
variety
of ways, some of themdegenerate.
Next let us remark that each such
hyperplanar piece
is aconvex cell.
(The convexity
follows from that of thecube;
thatit is a cell follows from the fact that it is bounded
by the (n-1)-
dimensional
planar pieces
in which theplane (5)
meets theboundary
of thecube.)
Its faces areprecisely
the intersections of(5)
with the faces of the cube. If we show that any two such cells meet in a commonface,
then ive know that V’ is a cell-complex.
If two cells
meet, they
mustclearly
lie in cubes which have ak-dimensional face in common,
0
k(n-l).
Thus suppose(5)
meets the locus in the cubeIn this cube the locus is
This meets thc common face in the locus
But the
continuity
ofVi (x’) gives
Hence
(6)
can berewritten
aswhich is
precisely
theintersection
of(5)
with the common face.That
is,
the loci in twoadjacent
cubes meetprecisely
in theircommon face in the common face of the two cubes. Hence V’
is a
cell-complex.
Finally,
ourassumption (y)
that we know the functions piwell means
clearly
that we knowexplicitly
all the coefficientsll,»i
andnpii
of the functionyi(xï) (after
the subdivisionq4,
hasbeen
chosen).
Thisimplies
further that we canactually
list thehyperplanar pièces (5)
of V’ in their different intervals. Wecan then
compute directly
all incidences between thecells,
asin the
preceding paragraph.
Thus the full incidence matrices of V’ can be formed. This concludes theproof
of the theorem.Remark 1. We have left a certain freedom above in the choice of the intervals
qr3,i. They
can of course be chosensimply
as thepii,
in which case the transformation can bepictured
as asimple joining
of the successive extrema of thegraph
of9?i(xi) by straight
lines. The
graph
is thus flattened out to a broken line. We canalso take the
qi=
as the intervals determinedby
theintegers:
x2 == 0, 1,
+ 2, ... This offers a certain convenience for notation.Remark II.
Obviously
the methodapplies equally
weil whensome of
the qJi
are definedonly
in apart
of thexi-axis.
In thiscase we obtain a
part
of such acomplex
as V’.4. Let us now
apply
our method to somesimple
cases. Con-sider first an
equation
where a1, ..., ar+1 are
constants,
noneequal
to zero, and nl, ..., nrare
positive integers
or evenpositive
rational numbers of theform s
, where s and t areintegers.
2t+l
Case I.
Suppose
some ni, n1 forexample,
is either an odd number or the ratio of two odd numbers.Then we
simply
rewrite(7)
asSince n1 is of the
given form,
theni
rootalways exists,
andwe
simply
have anequation
where X
is defined and continuouseverywhere.
This meansclearly
that the locus is
equivalent
to(X2’...’ xr)
space, i.e. to RI*-’.The
analysis
is therefore trivial.Case II.
No ni
is an oddinteger
or the ratio of two oddintegers.
In this case we cannot extract the root as above. A
glance
at the functions qqi involved shows us at once that the
topology
is
equivalent
to that of(This
results from the fact thataixi
z andA,i xi
increase anddecrease
together;
the intervals of subdivision for both are- 00 Xi 0
and0 Xi + 00.)
The intervals
(plt,..., prr )
in r-dimensional space are nowprecisely
the 2’’regions
determinedby
the(r-1 )-dimensional
coordinate
hyperplanes Xi == 0, (i =1,
...,r).
Take theq2i
asthe
pil.
Then in each of the 2’’regions
in( xi,
...,xr )
space, thelocus is
given by
If Â1 = Â2
= ... =Â,,,
then the locus isdegenerate, reducing
to the
point (0,
...,0).
Otherwise there is a locus in everyregion, composed
ofpart
of an(r-1 )-dimensional hyperplane.
Theonly remaining question
is that of identifications. Whenthey
arelisted,
asimplicial
subdivision of the locus can then begiven
ifdesired. We do not go further with the
computation here, though
this would be
interesting
in itself. Indeed asystematic
treatiseon the
topology
of the n-dimensional"conic"
would prove of value in many branches of mathematics
(see above,
footnote5).
Remark. It is worth
noting
that Case 1 can begeneralized
asfollows:
THEOREM II. Let
q;(x1:)
be continuous andstrictly monotone ,for
, . , , - , - ...,
be
defined
and continuouseverywhere ;
then thevariety determined by
theequation
is
topologically equivalent
to(n-l )-dimensional
Euclidean space.For under the
hypotheses, g>(X1)
= y has an inverse Xl= y(y)
for all y, and the
equation
isequivalent
to. , _. ,
whence the above result.
(Example : 1, equation (2).)
5. Consider now, as a second
example,
anequation
in twovariables :
Here we suppose that
the qqi satisfy,
besides(oc), ((3), (y),
thefurther condition:
(0)
The (pi are constant in nointerval,
and hencealternately
increase and decrease in successive intervals.
We now carry out the
linearization, choosing
as intervalsqii
those determined
by
theintegers, ji 0153 ji +
1. The functionsV,(x’)
, are thensimply
infinitepolygons
of formThe
continuity
ofVi (x’) gives
Our locus V’ is now
given by
It is thus a
graph composed
of linesegments lying
in thedifferent squares
(Ql1, q¿2 ). By
condition(b)
noai2 = 0
and theline
segment (10)
is notparallel
to thexi-
orx2-axis.
Suppose
that in the square(q/i , q(2)
there is alocus,
i.e. thatthe line
(10) -
meets its square. The line cannot coincide with anyside,
for then it would beparallel
to a coordinate axis.Suppose
then that(10)
meets the sidex1 === il + 1, j, : - X*2 j2 + 1.
There are then three
possibilities:
a)
It meets the side in apoint (il +1, x" ) with i2 X’ i2 +
The locus must then
necessarily
pass into the interior of the square( q/i, q42).
b)
It meets the side in avertex,
say(11 + l, 12+ 1)
and passes into the interior of the square.c)
It meets the side in avertex,
say(il+" h+I)
and failsto
pass into the interior of the square. The vertex is then theonly point
of intersection of the line with the square.Consider the case a. The value of x’ at the
intersection
isgiven by
But the locus in the
adjacent
square(q{l + 1, q§2)
isgiven by
which meets the
line xi = il +
1 in apoint x’ satisfying
It follows from
(9)
that( 11 )
and(13)
areide11tical,
Le. that the locus in( q11 +1, q£2 )
also meets the sidex’ =j + i , j j’ j + i
in the
point (ji+1, 1§),
which is not a vertex of the square(ql1+1, qj2).
The line(12)
must then also pass into the interior of its square. The samereasoning
holds for the other sides of thesquare jq/1, qj2). Hence, if
the locus line meets a sideof
its square in apoint
not a vertex, the locus is continïted into the square ad-j acent to
that si de.(See F’ig. 1. )
We note also
that, by
condition(0), aii
anda{i+l
haveopposite signs,
which means that thesign
of theslope
of(12)
isopposite
to that of
(10);
ingeneral
theslopes
alternate in successivesquares (as
on acheckerboard).
Now consider case b. "Ve
find,
as in case a, that the locus line in theadjacent
square(q/1+, q42)
also passesthrough
thevertex
(j1+1, j2+1).
Moreover the condition that(10)
passes into the interior of its square means that theslope
of(10)
ispositive.
Hence theslope
of(12)
isnegative,
and the line(12)
which passes
through
the vertex, must also pass into the interior of its square(qf1+1, q (2 ) .
But we canapply
the samereasoning
tothe other two squares
meeting
at the vertex(jl+l, j,+1).
Thusin
(qf1+1, j2+1)
theslope
ispositive
aiid the locus passesthrough
1
Fig. 1.
the vertex
(j,+I, j,+I);
hence it must pass into the interior of(qIl + 1, q22+’- ) .
The same holds for the fourth square(q[l, qj2+1
Fig. 2.
In all
then,
the locus in thefour
squares consistsof four segments
meeting
at the common vertex.(See Fig. 2. )
Finally
we have case c. Here theslope
of(10)
must benegative.
Accordingly
that of( 12 )
ispositive. But,
as in case a,(12)
mustgo
through
the vertex(i1+1, i2+1)
and hence can meet thesquare
(qfl + 1, q§2 ) only
in the vertex. The samereasoning applies
to the other two squares
meeting
at the vertex. Thatis,
thevertex is an isolated
point of
the locus.We have now classified all the local
possibilities.
It is then easy to see whathappens
in thelarge.
If we start in a square in which there is a locussegment,
we can follow the locus on abroken line in both directions
indefinitely
unless we corne to asingular point,
i.e. a vertex of a square.Otherwise,
if it meetsno
vertex,
the broken line must form asimple
closedpath
or go toinfinity
in both directions.Spirals
areobviously
excluded.We summarize our results as follows:
The locus is a
graph composed of
linesegments lying
in thedifferent
squares(qfl, q£2)
and a certain setof
isolatedpoints lying
at vertices
of
the squares;the
only singularities
are the isolatedpoints
andbranch-points,
at
vertices,
at whichfour segments
meet;through
all otherpoints of
the locus
exactly
one broken linepath
passes; there are no,,frce ends";
the locus consists
of
bi-oken linesfrom singular
branchpoint
to
singular
branchpoint,
orfrom singular
branchpoint
toinfinity,
orfrom infinity
toinfinity,
or elseforming
a closedpath.
It is worth
studying
thesingular points
a bit further.They
occur
only
at vertices of the squares, henceonly
atpoints x’, x’
where
V,(x"), V2(X’2) respectively
have corners. Thesingular point
is an isolated
point if
these corners are extremaof
sametype of
Vl(Xï)l V2(X"2)1 (i.e.,
bôth maximum or bothminimum).
For ifwe take the vertex as at
(il + l, j2+1)
and refer to the abovediscussion,
we see that theslope
of(10 )
in(qi 1, q’2)must
then benegative; i.e.,
the locus meetsonly
the vertex of the square.Otherwise the
singular point
is a branchpoint.
For if the extremaare of
opposite type
then theslope
of(10)
ispositive
and thelocus passes into the interior of the square, which
implies
a branch-point.
We can now state these results in terms of ouroriginal
non-linear
equation (7).
THEOREM III. Let
CP1(X1)’ CP2(X2)
be realfunctions of
real xisatisfying
conditions( a ), (p), (y), ( b ) .
Then theequation
determines a locus in the
(Xl, X2) plane satisfying
thefollowing
conditions:
( * )
The locus isformed of simple
Jordan curve-arcs and a certain setof
isolatedpoints.
(**)
Theonly topological singularities
are the isolatedpoints
and branch
points
at whichfour
curve-arcsmeet, having
thesingu- larity
as commonend-point; through
all otherpoints of
the locusexactly
one curve passes(so
that thepoint
is interior to thecurve ) ;
there are no
" free
ends".(***)
Thesingularities
occur at thepoints ( x1, X2) satisfying (8)
and such that qi, qJ2 both have extrema at xl, X2
respectively; if
theextrema are
of opposite types (one maximum,
oneminimum),
thenfour
branchesof
the locus meet at thepoint; if
the extrema areof
the same
type
then thesingular point
is an isolatedpoint of
thelocus.
(****)
The locus consistsof simple
Jordan curve-arcsfrom branch-point
tosingular branch-point,
orfrom singular
branch-point
toinfinity,
orfrom infinity
toinfinity,
orforming
closedpaths.
It istopologically
a one-dimensional curvedcomplex.
6. We can now carry
through
a similaranalysis
for thegeneralization
to ndimensions, i.e.,
towhere we make the same additional
assumption (ô)
on the gg,.We first linearize our
functions q,
to thefunctions ’lpi
withcorners at the
integral points = ii (fi
-0, :f: 1, + 2, ...)
ofthe
x2-axis.
We obtain the newequation
where
(’)
=i.’ + bii
inqli : i, ’ . +
1wh ere "Pi Xi = aitxi it ln qit .Ji = Xi Ji + 1.
The locus is
therefore given by
in
(q [l,
...,9é/") .
The
assumption (à) implies
thata{i # 0 (i == l, ..., n)
andthat
ali
anda(+
haveopposite signs.
The
continuity of y,(X§) gives
We have thus to consider a locus
composed
of varioushyper- planar pieces lying
in the cubes(qil ,
...,q(n).
Thepieces
areconvex cells and are incident in common faces. It remains to discuss how each cell lies in its cube and how
exactly
it is incidentwith other cells.
I. Consider the first
question. Suppose
theplane (16) actually
meets its cube at apoint
P not a vertex. If P is in- terior to thecube,
then the cell is(n-1)-dimensional.
Let usshow that:
Even
if
P is on theboundary of
thecube,
then theplane (16)
must pass into the interior and thits determine an
(n-1 )-dimen-
sional convex cell.
Thus,
we assume P lies on a face F:x’ + 1, ji x ji + 1
(i = 2, ..., n ),
and wish todétermine
a secondpoint
S of(16)
in the cube
with ji xz ji +
1.For n = 2 we have seen the
proposition
to betrue; i.e.,
if theline
(16)
meets its square in apoint
other than avertex,
then it passes into the interior. Let us assume this true for dimension(n-1 );
hence we can assume for purpose of induction that thepoint
P itself is interior to the face F(relative
to theplane Xï = il + i).
The
plane (16)
cannot beparallel
to theplane Xi by
condition
((5),
hence meets it. LetQ (x§ il, x’ -’)
be apoint
of the intersection. The line
QP
then lieswholly
in theplane (16).
But on the line
QP x1
passescontinuously
andmonotonely
fromthe
value jl to + 1, xi from 0153
tovalues xi
at Psatisfying
’ ji + 1.
At somepoint
S onQP
we must thenclearly have ji x’ +
1(i = 1,
...,n).
Hence(16 )
must passinto the interior of the cube. Hence
by
induction theproposition
is
proved.
II. But the
proposition implies
more. For let P be anypoint
not a vertex on a k-dimensional face
(0 k n - 1 )
of the cellR determined
by (16)
in its cubeC;
thatis,
we take R to be(n-1 )-dimensional
and P on its intersection with some k-face G of C. Let D be any other cube of which G is a face. We haveseen that the locus in D meets that in C on
G, precisely
in theintersection of R with G. Hence P is also
part
of the locus in D.Therefore
by
the aboveproposition
the locus in D is also a convexce]] of
(n-1 )
dimensions.III. Let us now go further and consider all the convex cells
meeting
in P(which
we choose as inII,
not avertex). They are
evidently
all(n-1 )-dimensional, lying
one in each cube whichhas G as
face,
and all have a common(k-1 )-dimensional
faceH in G
(0 k n-l).
What is the structure of thissub-complex
of cells about H? We shall establish that at the
point
P the locus cellsfit together
toform
an(n-1 )-dimensional
Euclideanneigh-
borhood
of
thepoint
P.For
simplicity,
take G asThe cubes with G as face are then
given by
where for each t we choose one of the
inequalities. P
is then apoint Xl’...’ "0 0,
...,0 ), where,
since P is not avertex,
we can assume for
example
Consider one of the cubes
meeting
atG,
forexample:
The locus therein we write
simply
asSince a1 *
0 if weproject
this locus onto theplane xi
=0,
we determine a
topological
transformation of the locus onto acertain set in the
xi-plane.
Theimage
set isgiven by
The
point
P itselfproj ects
onto thepoint Q : (0, v’20, ..., xIO, ..., 0).
The
point Q
must be interior to thestrip
R:For,
since P is on thelocus,
By
the samereasoning
it follows thatQ
is interior to therégion
R":corresponding
to theprojection on xi
= 0 of the locus in each cube Ca.having
G as a face. Thisprojection
isclearly topological
on the set of the sum of the different loci. There is now
clearly
a
neighborhood U(Q )
in theplane xi = 0
andlying
in all ROE.We can also take
U(Q)
so small as to be inAlso the
part
ofU(Q) lying
in theface x’ -
0 of a cube C°‘is
clearly a part
of theprojection onto xi
= 0 of the locus in that cube.U(Q), being
a sum of suchparts,
is thus itselfpart
of theimage
under theprojection.
But theprojection
is a homeomor-phism.
Hence thepoint P
also possesses aneighborhood U(P),
which must be
homeomorphic
toU(Q),
thatis, (n-i )-diiuen-
sional and Euclidean. This proves our assertion.
IV. It remains to consider what
happens
when(16)
passesthrough
a vertex of C. Here it will besimplest
to take C as0
’ 1
and(16)
aspassing through
the vertex at theorigin.
There are now twopossibilities:
that(16*)
meet Conly
in thevertex;
or that(16*)
passes into the interior of C. The first case occurs if ai > 0
(i == l,
...,n)
or if ai0, (i = 1,
...,n).
Otherwise the secondoccurs.
Consider the locus in an
adjacent quadrant,
forexample
inwhere ai-1)
and a, haveopposite signs.
Here the first case occursif -
a(-l)
a2’ ..., an areall >
0 or are all 0. Since al andai-l)
haveopposite signs,
this condition isequivalent
to the aboveone;
i.e.,
if the locus exists in onequadrant,
it exists in an ad-jacent
one.Proceeding
thusthrough
allquadrants,
we concludethat either there is a locus in the interior of each of the 2’z
quadrants
or else the vertex at theorigin
is an isolatedpoint
of the locus.
What are the
possible
incidences of the cells in the case when there is one in eachquadrant?
It is easy to see thatthey
areprecisely
those ofThat
is,
it isonly
thesign
ofthe ai
which matters. Forexample,
consider the
locus (16*)
in thequadrant
and that in
By
condition(17)
we find as before that the incidence isprecisely
that of(16*)
with theplane x’=X - 0
= 0.This intersection is
The locus is either an
(n-k-1)-dimensional
convex cell or theorigin according
as theaq
all have the samesign
or not. Thatis,
thesigns
of the ai in(16* )
determinefully
the nature of theincidences about the
origin.
We remark
again
that the case when all ai are of the samesign corresponds
to the case of extrema of the sametype
forall1Jli
at theorigin.
Theproportion
of maxima and minima among the 1Jli determines thetype
of incidences in case not all ai areof one
sign.
We summarize our results as follows :
THEOREM IV. The
variety
determinedby
theequation (14)
canbe
represented
as acell-complex
Tr’satisfying
the conditions:(*)
V’ iscomposed of (n-1 )-dimensional
convex cellslying
inthe
different
cubes( q(i,
...,qnn )
and a certain setof
isolatedpoints
lying
at the verticesof
the cubes.( * * )
Theonly topological singularities
are the isolatedpoints
andbranch-points,
atvertices,
at which 2n convex cells meet. The natureof
thesingularity
is the same as thatof
at the
origin, for different
valuesof Âi.
(***)
The locus iscomposed of (n-1)-dimensional
sheetspieeed together from
the convexcells;
those sheets zvhich do not passthrough
branch
points
are(n-1)-dimensional manifolds.
(****)
Thesingularities of
theequation ( 14 )
occur at thepoints (Xl’
...,xn ) satisfying it,
and such thatP1(X1)’
...,Pn(aen)
areextrema. The
singularity
is an isolatedpoint of
the locus when the extrema are allof
the sametype (all
maxima or allminima).
Thevarious other
types
aregiven b y equation (18).
7. It is
possible
toattempt
toapply
our method of 3 to thefollowing
verygeneral
case:Here we have
replaced
theoperation
of summation on the gaiby
ageneral
functionF,
continuous and definedeverywhere.
If we now linearize the CPi as
before,
we reduce theequation
to the form
in the interval
(il, - - ., in).
It is obvious that this is in
general
asimplification
of theproblem
ofdetermining
thetopological
structure. If the function F is not toocomplicated,
the actual structure may even be found.For
example,
considerHere a linearization leads us to consider in each interval a surface
Because of its
simplicity
this surface can beplotted
for eachinterval and all identifications can be found. With the
original equation
almostnothing
could be done.§
3. Pairwiseséparation
of variables.8. We now
consider,
without details ofproof,
thepossibility
of
generalizing
our method of Theorem 1 to thefollowing
case:(19) Pl (Xl’ ’x2) + P2(X3’ X4) + ... + 9?n(X2n-l’ X2n)
= O. .Here we
replace
our functionsCfJi(Xi) by
functions9?i(X2i-l’ X2i)
of two
variables,
and want somehow togeneralize
ouroriginal
linearization to these more
general
functions.We want therefore to formulate a
generalized "subdivision
ofthe
axis" (as
in condition(fl»
for each functionfPi(X2t-l’ X2i)
so that in each
,,interval
of the axis" piis "strictly
monotone orconstant". We then
,join
théend-points
of the curve q, in the interval"by "straight
lines" so that rp i becomes,piecewise
linear".
Actually
we are led to choose as"interval
of the axis" a curvedtriangle
ABC of thefollowing type: fPi(01532t-1’ x2i)
is constant onthe arc
i-B;
CPt isstrictly
monotone on the arcs4-c
andBC;
the
triangle
A BC can bemapped topologically
onto a lineartriangle
A’ B’C’ in the(Y2i-l’ Y2i )-plane
so that the level curvesof the new function
Y(Y2i-11 y2i) CPi( X2i-l (Y2i-l’ Y2i)’ Q’2i(y2i-1, ,lJ2i ) )
in the
triangle
A’ B’C’ are the line A ’B’ and the linesparall el
to it.By
a"subdivision
of the axis" we now mean a curvedtriangu-
lation of the
(X2i-11 x2i)-plane, whereby
thetriangles
are all ofthe
type
of A BC of thepreceding paragraph.
Our fundamental
hypothesis, corresponding
to(fJ)
of Theorem1,
is then that for each function
f{Jt(X2i-l’ X2i)
the(X2i-1, x2i )-plane
admits the described curved
triangulation.
Under this
assumption
it is then easy to show that fPi can be reduced to apiecewise planar-
function. Also all the information needed forconstructing
the new function is the set of values of pi at the vertices of thetriangulation.
Once we have linearized the functions cpi, we have a represen- tation of the locus
(19)
as acell-complex
in a certain m-dimen- sional Euclidean space. We thus arrive at the same result as in Theorem I. We areagain
able togive
the fulltopological
structureof the
variety.
It may be
asked,
what class of functionssatisfy
thehypothesis
above? The answer here must be
given
in terms of the structure, bothlocal,
and in thelarge,
of thefamily
of level curves of thefunction. Without
giving
detailshere,
let us say for thepresent
that a very
large
class offunctions, especially
the ones of commonpractice,
have level curves of the desired structure.Further,
we believe it ispossible
togeneralize
ourtype
ofsubdivision of the
(X2i-1’ X2i)-plane
to include whatmight
becalled
,infinité triangles"
of thetype
ofABC,
andthereby,
by
the same method asbefore,
to extend our results to a muchlarger
class of functions pi on whose level curvesonly
localassumptions
ofregularity
are made. This ivepresent merely
as an intuition whieh we
hope
todevelop rigorously
at a laterdate.
9.
Applications.
It seemsprobable
that the Theorem IV of 6 can begeneralized
to anequation
oftype (19)
under thehypo-
thesis of section 8. The essential difference would be more
general
structures at the criticalpoints.
This also we shalldevelop
later.10. Generalization to
functions 0.11nore
than two variables. We believe our method can beextended,
at least intheory,
to thegeneral equation
where
hypotheses
are madeconcerning
thefamily
of level sur-faces of the qqi. It is
well-known, however,
that todétermine
thestructure of level surfaces for even a function of two variables is very
difficult,
for a function of more than two variables in-comparably
more difficult. Thus inpractice
thegeneralization
to
equation (20)
would be used very little. Yettheoretically
wefind it
significant
in that it reduces thetopological problem
toone of the level surfaces of the individual functions. This reduction
we believe to be basic in the
practical analysis
of thetopological
structure of a
variety
definedby
anequation.
11. Case
of
asystern of equations.
We consider avariety
defined
by
a set ofequations
A very
simple
devicebrings
us back to anequation
of thetype
of
equation (20).
For the locus(21)
isequivalent
to the locusdefined
by
asingle equation.
We now combine terms as muchas
possible
in(22)
to reduce it to assimple
a form(20)
as wecan find. We then
proceed
asoriginally
withequation (20).
Far from
trivial,
we believe this device to be animportant practical
method offinding
thetopological
structure of(21).
Indeed,
it is theonly
way we know of evenstarting
toanalyse
a