Functional equations characterizing nomograms with three rectilinear scales

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F. Radó
Institutul de Calcul

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F. Radó, Équations fonctionnelles caracterisant les nomogrammes avec trois échelles rectilignes. (French) Mathematica (Cluj) 1 (24)1959 no. 1, 143–166.

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Mathematica Cluj

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Published by the Romanian Academy  Publishing House

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1222-9016

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2601-744X

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FUNCTIONAL EQUATIONS CHARACTERIZING NOMOGRAMS WITH THREE RECTILINEAR SCALES 1

Introduction

Either

O1P¯=f(x),O2Q¯=g(y),O3R¯=h(z)\overline{O_{1}P}=f(x),\overline{O_{2}Q}=g(y),\overline{O_{3}R}=h(z)

the equations of the nomogram scales in Fig. 1. We assume that the functionsf,gf,gAndhhare continuous and monotonic in the narrow sense. Between the sidesx,y,zx,y,zpointsP,Q,RP,Q,R, located on the same line, the relation takes place

z=H1[F(x)+G(y)],z=H^{-1}[F(x)+G(y)], (1)

OrF(x)=d1d1+d2f(x),G(y)=d2d1+d2g(y)F(x)=\frac{d_{1}}{d_{1}+d_{2}}f(x),G(y)=\frac{d_{2}}{d_{1}+d_{2}}g(y),H(z)=h(z)H(z)=h(z)The functionz=f(x,y)z=f(x,y)The function defined by (1) is continuous and montone (with respect to each of the variables). In the following considerations, all functions of one and two variables will be assumed to be continuous and monotone. The scales of the nomograms do not allow for broader assumptions.

The problem arises of characterizing the functionsz=f(x,y)z=f(x,y), which can be put in the form (1).

00footnotetext:1 This article is included in the work “Ecuatii funcționale in legătură cu nomografie” published in Romanian in the journal “Studii şi Cercetări de Matematică, Cluj”, 9,249-319 (1958).

If we limit ourselves to the functionsz=f(x,y)z=f(x,y)admitting partial derivatives up to the third order, then the necessary and sufficient condition for thatf(x,y)f(x,y)either of the form (1) is expressed by the condition of SAINT-ROBERT [1]:

2xylnfx(x,y)fy(x,y)=0\frac{\partial^{2}}{\partial x\partial y}\ln\frac{f_{x}^{\prime}(x,y)}{f_{y}^{\prime}(x,y)}=0

J. ACZÉL characterized, under the conditions specified above, the particular case of the class of functions

z=f(x,y)=H1[hasH(x)+bH(y)+c]z=f(x,y)=H^{-1}[aH(x)+bH(y)+c] (2)

by the functional equation
(3)

f[f(u,x),f(y,v)]=f[f(u,y),f(x,v)]f[f(u,x),f(y,v)]=f[f(u,y),f(x,v)]

the so-called equation of bisymmetry [2], [3], [4]. This author arrived at this result by first imposing two additional conditions on the solution of equation (3). Independently of this, he also demonstrated [5] that the so-called equation of associativity

f[f(x,y),t]=f[x,f(y,t)]f[f(x,y),t]=f[x,f(y,t)] (4)

admits as a solution the functions (2), withhas=b=1,c=0a=b=1,c=0J.
ACZÉL formulated the problem of finding a functional equation that characterizes functions (1) in general [6]. M. hosszú found the following result [7]: the solutions of the functional equation with three unknown functions
(5)

f[g(u,x),h(y,v)]=f[g(u,y),h(x,v)]f[g(u,x),h(y,v)]=f[g(u,y),h(x,v)]

functions that are montone in the restricted sense and admit first-order partial derivatives are

f(x,y)=H1[F(x)+G(y)]\displaystyle f(x,y)=H^{-1}[F(x)+G(y)]
g(x,y)=F1[L(x)+N(y)]\displaystyle g(x,y)=F^{-1}[L(x)+N(y)]
h(x,y)=G1[N(x)+M(y)]\displaystyle h(x,y)=G^{-1}[N(x)+M(y)]

Besides the differentiability assumption, this result has the drawback that to decide whether a given function is of the form (1) or not, besides this function there are still two unknown functions, which makes the application very difficult.

In this work we will give various necessary and sufficient conditions for the functionz=f(x,y)z=f(x,y)either of the form (1), The functionffbeing continuous and montone in the restricted sense, the equationz=f(x,y)z=f(x,y)can be resolved in relation toxxAndy:x=f¯(y,z),y=f~(z,x)y:x=\bar{f}(y,z),y=\tilde{f}(z,x)One of the given conditions can be written as follows:

f[f¯(u,x),f~(y,v)]=f[f¯(u,y),f~(x,v)]f[\bar{f}(u,x),\tilde{f}(y,v)]=f[\bar{f}(u,y),\tilde{f}(x,v)] (6)

which is a special case of equation (5). The differentiability assumption would not come into play there.

A geometric interpretation of equation (6) is known in the theory of hexagonal tissues [8]. Another leads to the following result: nomograms with three scales on the same cubic represent an equation of the form (1), and there are no other type of collinear point nomograms for equation (1). The other conditions that will be given can also be interpreted geometrically in two different ways.

Functional equations (3) and (4) and other similar equations can be easily solved using condition (6). Thus, a new method is established for studying a certain class of functional equations.

The study of the function's value domainH(x)H(x)in (2), which is required for different values ​​ofhas,b,cABCis also done in this work.

Ifz=/(x,y)z=/(x,y)verifies (6) and can therefore be put in the form (1), the problem of determining the functions remainsF,G,HF,G,Hthat is, to determine the scales, which leads to studying the functional equation

χ(x+y)=f[φ(x),ψ(y)]\chi(x+y)=f[\varphi(x),\psi(y)]

to three unknown functionsφ=F1,ψ=G1,χ=H1\varphi=F^{-1},\psi=G^{-1},\chi=H^{-1}of a single variable. It was considered by J. ACZÉL forφ=ψ=χ[4]\varphi=\psi=\chi[4]We will reduce the general case to this.

We have linked to the equation of associativity (4) many facts which until now have appeared unrelated to each other, in particular: the equation of bisymmetry, the properties of hexagonal tissues, nomograms whose scales are located on the same cubic, properties characteristic of cubics.

§ 1. Conditions for a function to be representable by a unnomogram with three straight scales

Let us consider the function of two variables

f(x,y)=H1[F(x)+G(y)]f(x,y)=H^{-1}[F(x)+G(y)] (1)

where the functionsF,G,HF,G,HFunctions of a single variable are continuous and monotonic in the narrow sense. Function (1) satisfies the
conditionTT :f(x1,y2)=f(x2,y1),f(x1,y3)=f(x3,y1)f(x2,y3)=f(x3,y2)f\left(x_{1},y_{2}\right)=f\left(x_{2},y_{1}\right),f\left(x_{1},y_{3}\right)=f\left(x_{3},y_{1}\right)\rightarrow f\left(x_{2},y_{3}\right)=f\left(x_{3},y_{2}\right)Indeed
, by virtue of the monotonicity of the functionHHrelationships

H1[F(x1)+G(y2)]\displaystyle H^{-1}\left[F\left(x_{1}\right)+G\left(y_{2}\right)\right] =H1[F(x2)+G(y1)]\displaystyle=H^{-1}\left[F\left(x_{2}\right)+G\left(y_{1}\right)\right]
H1[F(x1)+G(y3)]\displaystyle H^{-1}\left[F\left(x_{1}\right)+G\left(y_{3}\right)\right] =H1[F(x3)+G(y1)]\displaystyle=H^{-1}\left[F\left(x_{3}\right)+G\left(y_{1}\right)\right]

train

F(x1)+G(y2)=F(x2)+G(y1);F(x1)+G(y3)=F(x3)+G(y1)F\left(x_{1}\right)+G\left(y_{2}\right)=F\left(x_{2}\right)+G\left(y_{1}\right);\quad F\left(x_{1}\right)+G\left(y_{3}\right)=F\left(x_{3}\right)+G\left(y_{1}\right)

from which we obtain by subtraction

F(x2)+G(y3)=F(x3)+G(y2)F\left(x_{2}\right)+G\left(y_{3}\right)=F\left(x_{3}\right)+G\left(y_{2}\right)

Or

H1[F(x2)+G(y3)]=H1[F(x3)+G(y2)].H^{-1}\left[F\left(x_{2}\right)+G\left(y_{3}\right)\right]=H^{-1}\left[F\left(x_{3}\right)+G\left(y_{2}\right)\right].

The conditionTTobviously leads to the

 Condition B:f(x1,y2)=f(x2,y1),f(x1,y3)=f(x3,y1)==f(x2,y2)f(x2,y3)=f(x3,y2)\text{ Condition }\begin{aligned} B&:f\left(x_{1},y_{2}\right)=f\left(x_{2},y_{1}\right),f\left(x_{1},y_{3}\right)=f\left(x_{3},y_{1}\right)=\\ &=f\left(x_{2},y_{2}\right)\rightarrow f\left(x_{2},y_{3}\right)=f\left(x_{3},y_{2}\right)\end{aligned}

The geometric interpretation of this condition is as follows: the level lines of function (1) and the parallels to the axes form a fabric. LetS(x2,y2)S\left(x_{2},y_{2}\right)any point on the plane andL(x2,y3)L\left(x_{2},y_{3}\right)a point belonging to the linex=xx=x : (fig. 2); the line parallel to the axisOxOxled byLLmeets the contour line bySSinMMthe parallel to the axisOyOybyMMcuts the line parallel toOxbySOx\operatorname{par}SinNN, the contour line byNNand the line parallel toOyOybySSintersect at the pointPP, the parallel toOxOxbyPPand the contour line bySSintersect atQQFinally, the lines parallel to the axes through Q andSSrespectively meet inRR the conditionBBexemplify the property of pointsLLAndRRto be located on the same level. In other words: the curvilinear hexagon whose sides and diagonals are level lines and straight lines parallel to the coordinate axes closes. This curvilinear hexagon is called the Brianchon figure. Therefore, the conditionBBexpresses the fact that all the Brianchon figures are closing.

Conversely, in the theory of hexagonal tissues it is demonstrated that for all functionsf(x,y)f(x,y)continuous and montone in the restricted sense, the closure of Brianchon figures has the consequence thatf(x,y)f(x,y)is of the form (1) [6]. We present here a more direct proof of this theorem.

We admit that the functionz=f(x,y)z=f(x,y), defined in a domainDDis continuous and monotonic in the restricted sense with respect to each ofhis {}^{\text{ses }}variables and satisfies the conditionBBfor all points of the domainDDWe can also admit that the domainDDcontains within it the origin of the axes and that the functionf(x,y)f(x,y)is increasing, because by applying
a suitable linear transformation to the independent variables, we can arrive at this case.

Consider a level line that intersects the coordinate axes at the pointsHAS1A_{1}AndB1B_{1}, so that the domainOHAS1B1OA_{1}B_{1}either in the first quadrant and inside ofDD(fig. 3). The level line drawn through the point

intersectionB2B_{2}parallels to the axes byHAS1A_{1}AndB1B_{1}cuts the axes inHAS2A_{2}AndC2C_{2}respectively. By virtue of the conditionBBThe Brianchon figures close, therefore the points of intersectionB3B_{3}AndC3C_{3}parallels to the axes byHAS2A_{2}AndB1,HAS1B_{1},A_{1}AndC2C_{2}respectively are located on the same level line, which intersects the axes at the pointsHAS3A_{3}AndD3D_{3}The pointsB4,C4B_{4},C_{4}AndD4D_{4}The parallels obtained in a similar manner are also on the same level line. This operation is continued until all the points of intersection of the parallels already considered are located outside the part situated in the first quadrant of the domain.DDObviously, the same construction can be used for all dials; that isC1C_{1}for example the point of intersection of the contour line byB1B_{1}with the line parallel to the axisOxOxbyC2;B0C_{2};B_{0}AndHAS1A_{-1}respectively, the intersection of the line parallel to the axisOyOybyC1C_{1}with the parallel toOxOxbyB1B_{1}AndOOrespectively; the pointsB0B_{0}AndOOwill be on the same level, etc. We will designate byxi,1x_{i,1}the common x-coordinate of the pointsHASi,Bi+1,Ci+2,A_{i},B_{i+1},C_{i+2},\ldots, byy1.1y_{1,1}the common ordinate of the pointsBkB_{k}, byy2.1y_{2,1}that of the pointsCkC_{k}, etc., and byzi,1z_{i,1}the common values ​​of the functionz=f(x,y)z=f(x,y)at the pointsHASi,BiA_{i},B_{i},CL,C_{l},\ldots

Let's define the functionsF(x),G(y)F(x),G(y)AndH(z)H(z), for the moment onLtg\mathrm{l}_{\mathrm{tg}}discrete pointsxi,1,yi,1x_{i,1},y_{i,1}Andzi,1z_{i,1}, Thus :

F(xi,1)=i,G(yi,1)=i,H(zi,1)=i.F\left(x_{i,1}\right)=i,\quad G\left(y_{i,1}\right)=i,\quad H\left(z_{i,1}\right)=i.

Then the given functionz=f(x,y)z=f(x,y)satisfied at the tops of the network built on the relationship

H[f(x,y)]=F(x)+G(y).H[f(x,y)]=F(x)+G(y). (7)

By virtue of continuity and montony in the restricted sense of the functionf(x,y)f(x,y)the system of equationsf(α,β)=z1.1,f(α,0)=f(0,βf(\alpha,\beta)=z_{1,1},f(\alpha,0)=f(0,\betaadmits a single solutionα,β\alpha,\betaAnd0<α<x1,0<β<y10<\alpha<x_{1},0<\beta<y_{1} that is to say, it exists on the level lineHAS1B1A_{1}B_{1}a single pointB2B_{2}^{\prime}whose projections to the axesHAS1A_{1}^{\prime}AndB1B_{1}^{\prime}are on the same level. Let's construct a rectangle with sides parallel to the axes and opposite verticesB2B_{2}AndB2B_{2}^{\prime} ; then the other two verticesB3B_{3}^{\prime}AndC3C_{3}^{\prime}must be located on the same level line. SimilarlyB4B_{4}^{\prime}being the intersection of the parallel toOxOxbyB3B_{3}^{\prime}with the contour line byB2B_{2}, AndHAS3A_{3}^{\prime}the projection ofB4B_{4}^{\prime}on the axisOxOx, the pointsB3B_{3}^{\prime}AndHAS3A_{3}^{\prime}must be located on the same level line. Continuing this operation leads to a refinement of the network obtained by the first step of the construction. By designating the abscissas and ordinates of the new parallels byxi,2x_{i,2}Andyi,2y_{i,2}respectively, we havex2k,2=xk,1,y2k,2=yk,1x_{2k,2}=x_{k,1},y_{2k,2}=y_{k,1}Letzi,2z_{i,2}the values ​​of the functionf(x,y)f(x,y)on the new contour lines; thenz2k,2=zk,1z_{2k,2}=z_{k,1}By defining

F(xi,2)=i2,G(yi,2)=i2,H(zi,2)=i2F\left(x_{i,2}\right)=\frac{i}{2},G\left(y_{i,2}\right)=\frac{i}{2},H\left(z_{i,2}\right)=\frac{i}{2}

we have at the vertices of the original network the values ​​defined above, and we can observe that relation (7) is verified for the vertices of the refined network.

We will continue this network refinement operation indefinitely.nn-th refinement we define the sets{xi,n},{yi,n}\left\{x_{i,n}\right\},\left\{y_{i,n}\right\},{zi,n}\left\{z_{i,n}\right\}and the values ​​of the functionsF,GF,GAndHHin these points by posing

F(xi,n)=i2n,G(yi,n)=i2n,H(zi,n)=i2nF\left(x_{i,n}\right)=\frac{i}{2^{n}},G\left(y_{i,n}\right)=\frac{i}{2^{n}},H\left(z_{i,n}\right)=\frac{i}{2^{n}}

This does not change the values ​​of these functions at the points of the (n1n-1)th network and relation (7) is verified step by step.
are positive and form a decreasing sequence, which therefore has a limitx*0x^{*}\geqslant 0We have

f(x1,n,y1,n)\displaystyle f\left(x_{1,n},y_{1,n}\right) =f(x1,n1,0)\displaystyle=f\left(x_{1,n-1},0\right)
f(x1,n,0)\displaystyle f\left(x_{1,n},0\right) =f(0,y1,n)\displaystyle=f\left(0,y_{1,n}\right)

It follows from the second equality, by virtue of continuity and montony all

  • the second

narrow sense off(x,y)f(x,y)thaty1,ny_{1,n}also has a limit, that isy*y^{*}If in the first equalitynn\rightarrow\infty, we obtainf(x*,y*)=f(x*,0)f\left(x^{*},y^{*}\right)=f\left(x^{*},0\right), that's to sayy*=0y^{*}=0The second equality entailsf(x*,0)=f(0.0)f\left(x^{*},0\right)=f(0,0), SOx*=0x^{*}=0.

Let's consider a domainOHASBOAB, interior toDD, limited by the coordinate axes and by the contour lineHASB,HASAB,Abeing a network apex. So the whole{xi,n}\left\{x_{i,n}\right\}is dense on the segmentOHASOA, WheniiAndnnvary. Indeed, suppose that there exists an interval(γ,δ)OHAS(\gamma,\delta)\in OAwhich does not contain pointsxi,nx_{i,n}. For eachnn, we determine the numberk=k(n)k=k(n)so that the interval (γ,δ\gamma,\delta) is betweenHASk(n)A_{k}^{(n)}AndHASk+1(n)A_{k+1}^{(n)}The contour line byHASk(n)A_{k}^{(n)}cut the axleOyOyinQk(n)Q_{k}^{(n)}, the parallel toOxOxat this point meets the contour line byHASk+1(n)A_{k+1}^{(n)}inQk+1(n)Q_{k+1}^{(n)}(fig. 4). The projection of the pointQk+1(n)Q_{k+1}^{(n)}onOxOxthat's precisely the pointHAS1(n)A_{1}^{(n)}Taking into account that fornn\rightarrow\infty,Qk(n)Qk+1(n)¯=OHAS1(n)¯=x1,n0\overline{Q_{k}^{(n)}Q_{k+1}^{(n)}}=\overline{OA_{1}^{(n)}}=x_{1,n}\rightarrow 0we haveHASk(n)HASk+1(n)¯0\overline{A_{k}^{(n)}A_{k+1}^{(n)}}\rightarrow 0, contradicting our hypothesis. It follows that the network points form a dense set on the domainOHASBOAB.

Let us consider a domainOMM*OMM^{*}, limited by the axes and by the contour lineMM*MM^{*}, assuming that it no longer passes through network points (fig. 5). We will demonstrate that the network points form a dense set onOMM*OMM^{*}It suffices to demonstrate thatMMis an accumulation point of the whole\mathcal{E}formed by the pointsxi,nx_{i,n}located on the segmentOMOMLet's suppose the opposite, that is to say thatQ=supQ=\sup\mathcal{E}either located to the left ofMMWe know that\mathcal{E}is dense onOQOQSo we can choose the pointsQQ^{\prime}AndQ"Q^{\prime\prime}belonging to\mathscr{E}in such a way that the rectangleQQ"RSQ^{\prime}Q^{\prime\prime}RShave the peaksSSAndQ"Q^{\prime\prime}on the same level line and the summitRReither in the fieldQMM*Q*QMM^{*}Q^{*}It follows thatRRAndRR^{\prime}are network points, that is to say thatRSϵR^{\prime}{}_{\epsilon}Swhich contradicts the hypothesisQ=supQ=\sup\mathcal{E}.

Let's cover the domainDDby domainsDjD_{j}, each of which is bounded by lines parallel to the axes and by a level line. It follows from what we have just demonstrated that, ifDjD_{j}contains a network point, so it contains a dense set of them onDjD_{j}It immediately follows that the network points form a dense set onDD.

The functionsF,G,HF,G,Hdefined on dense sets{xi,n},{yi,n}\left\{x_{i,n}\right\},\left\{y_{i,n}\right\},{zi,n}\left\{z_{i,n}\right\}respectively, are continuous and monotonic functions in the strict sense on these sets, so their definitions can be extended by continuity for all valuesx,y,zx,y,z, which are located in the intervals determined by the rectangle circumscribed about the domainDD, having sides parallel to the axes, and by the level lines tangent to this domain respectively. The functionsFF,G,HG,HThus defined, they are continuous, monotonic in the restricted sense, and further satisfy the

ConditionEE The range of values ​​of the functionHHcontains all numbers of the formF(x)+G(y)F(x)+G(y),(x,y)D(x,y)\in D.

We can see that relation (7) is verified for all the(x,y)D(x,y)\in D, if we take the limit through points of the lattice. Thus we have demonstrated
theorem i. Letz=f(x,y)z=f(x,y)a function defined in any domainDDThe conditionBB, continuity and montony in the restricted sense of the functionf(x,y)f(x,y)are necessary and sufficient for the functionf(x,y)f(x,y)either of the form (1), whereF,G,HF,G,Hare continuous and monotonic functions in all restricted senses and satisfy the conditionEE.

It follows from the demonstration that the condition can be replacedBBby another weaker one, requiring its verification only in all internal areas toDD, having diameters smaller than a positive number. It can be seen, following simple reasoning, that it is also sufficient that every point of theDDhas a neighborhood where the conditionBBbe satisfied. Therefore, we have
theorem ii. Letz=f(x,y)z=f(x,y)defined in domain D. If any point of theDDhas a neighborhood in which the functionf(x,y)f(x,y)is of the form (1) withF,G,HF,G,Hcontinuous and monotonous in the narrow sense, thenf(x,y)f(x,y)is of the form (1) in the domainDDsame (local ownership (1) entails global ownership (1)).

Under the stated conditions of continuity and monotony: conditionTT\rightarrowconditionB(1)B\rightarrow(1)We therefore have
theorem iii. The conditionTTcontinuity and monotony in the restricted sense of the functionf(x,y)f(x,y)are necessary and sufficient so thatf(x,y)f(x,y)either of the form (1), whereF,GF,GAndHHare continuous, monotonic functions in all restricted senses (and satisfy the conditionEE).

The interpretation of theorems III and IV is well known in tissue theory [8].

Observations. 1) We can directly demonstrate the implicationTRT\rightarrow R. Either
f(x1,y3)=f(x2,y1),f(x1˙,y4)==f(x2,y2),f(x3,y3)=f(x4,y1)f\left(x_{1},y_{3}\right)=f\left(x_{2},y_{1}\right),f\left(\dot{x_{1}},y_{4}\right)==f\left(x_{2},y_{2}\right),f\left(x_{3},y_{3}\right)=f\left(x_{4},y_{1}\right)
and let's define the numbersξ\xiAndη\etaby

f(x1,y4)=f(ξ,y3),f(x1,η)==f(x3,y3)\begin{gathered}f\left(x_{1},y_{4}\right)=f\left(\xi,y_{3}\right),f\left(x_{1},\eta\right)=\\ =f\left(x_{3},y_{3}\right)\end{gathered}

Taking into accountTf(ξ,η)=f(x3,y4)Tf(\xi,\eta)=f\left(x_{3},y_{4}\right). On the other hand

The geometric interpretation of the conditionTTis represented in figure 6. The figure, known as the Thomsen figure, must be completed.

The condition can be replacedBBand the conditionTTrespectively by a third:

ConditionR:f(x1,y3)==f(x2,y1);f(x1,y4)=f(x2,y2)R:\quad f\left(x_{1},y_{3}\right)==f\left(x_{2},y_{1}\right);f\left(x_{1},y_{4}\right)=f\left(x_{2},y_{2}\right) ;

f(x3,y3)=f(x4,y1)\displaystyle f\left(x_{3},y_{3}\right)=f\left(x_{4},y_{1}\right)\rightarrow
f(x3,y4)=f(x4,y2)\displaystyle\rightarrow f\left(x_{3},y_{4}\right)=f\left(x_{4},y_{2}\right)

Indeed, we can see through direct verification that the conditionRRresults from (1) and that this entails, by settingx2=x3x_{2}=x_{3}Andy2=y3y_{2}=y_{3}the conditionBB, and therefore (1). We have
theorem iv. The conditionRRContinuity and monotony in the restricted sense are necessary and sufficient for the functionf(x,y)f(x,y)either of the form (1), where the functionsF,G,HF,G,Hare continuous and monotonic in the restricted sense (and satisfy the conditionEE).

The geometric interpretation of the conditionRRis that the Reidemeister figure is terminated (fig. 7), that is to say that if three vertices of a rectangle, whose sides are parallel to the coordinate axes, move on level lines, then the fourth also moves on a level line.

f(x2,y1)=f(x1,y3),f(x2,y2)=f(ξ,y3)f(ξ,y1)=f(x1,y2)f\left(x_{2},y_{1}\right)=f\left(x_{1},y_{3}\right),f\left(x_{2},y_{2}\right)=f\left(\xi,y_{3}\right)\rightarrow f\left(\xi,y_{1}\right)=f\left(x_{1},y_{2}\right)
f(x1,η)=f(x4,y1),f(x1,y2)=f(ξ,y1)f(x4,y2)=f(ξ,η);f\left(x_{1},\eta\right)=f\left(x_{4},y_{1}\right),f\left(x_{1},y_{2}\right)=f\left(\xi,y_{1}\right)\rightarrow f\left(x_{4},y_{2}\right)=f(\xi,\eta);

SOf(x4,y2)=f(x3,y4)f\left(x_{4},y_{2}\right)=f\left(x_{3},y_{4}\right)2
) The conditionsTTAndRRcan be combined and we obtain a fourth equivalent condition

f(x1,y3)=f(x3,y1),f(x1,y4)=f(x4,y1),f(x2,y3)=f(x3,y2)f(x2,y4)=f(x4,y2)\begin{gathered}f\left(x_{1},y_{3}\right)=f\left(x_{3},y_{1}\right),f\left(x_{1},y_{4}\right)=f\left(x_{4},y_{1}\right),f\left(x_{2},y_{3}\right)=f\left(x_{3},y_{2}\right)\\ \rightarrow f\left(x_{2},y_{4}\right)=f\left(x_{4},y_{2}\right)\end{gathered}

§ 2. Application to the resolution of some functional equations

The established theorems can be used to solve several functional equations. In particular, Theorems I and III are readily applicable. We will apply these theorems to solve, using a novel approach, some equations solved by other authors. We will arrive at a unified treatment of equations characterizing classes of functions representable by the nomogram in Fig. 1, which is further refined in several ways.

  1. 1.

    The equation of bisymmetry. - Let's find out what the functions arez=f(x,y)z=f(x,y)defined forα<x<β,α<y<β\alpha<x<\beta,\alpha<y<\beta, meeting the following conditions:
    a)α<f(x,y)<β\alpha<f(x,y)<\beta(we say thatffis an operation)
    b)f(x,y)f(x,y)is continuous
    c)f(x,y)f(x,y)is monotonic in the restricted sense
    d) it satisfies the equation of bisymmetry:
    (3)

f[f(u,x),f(y,v)]=f[f(u,y),f(x,u)]f[f(u,x),f(y,v)]=f[f(u,y),f(x,u)]

For

x,y,v,u(α,β) [2]. x,y,v,u\in(\alpha,\beta)\text{ [2]. }

We will first demonstrate that the functionz=f(x,y)z=f(x,y)meets the conditionTTin the rectangleR[α<x<β,α<y<β]R[\alpha<x<\beta,\alpha<y<\beta]Letxi,yi(α,β)(i=1, 2, 3)x_{i},y_{i}\in(\alpha,\beta)(i=1,2,3)Andv(α,β)v\in(\alpha,\beta)and suppose thatf(x1,y2)=f(x2,y1),f(x1,y3)==f(x3,y1)f\left(x_{1},y_{2}\right)=f\left(x_{2},y_{1}\right),f\left(x_{1},y_{3}\right)==f\left(x_{3},y_{1}\right)We have successively

f[f(x2,y3),f(y1,v)]=f[f(x2,y1),f(y3,v)]=f[f(x1,y2),f(y3,v)]=\displaystyle f\left[f\left(x_{2},y_{3}\right),f\left(y_{1},v\right)\right]=f\left[f\left(x_{2},y_{1}\right),f\left(y_{3},v\right)\right]=f\left[f\left(x_{1},y_{2}\right),f\left(y_{3},v\right)\right]=
=f[f(x1,y3),f(y2,v)]=f[f(x3,y1),f(y2,v)]=f[f(x3,y2),f(y1,v)]\displaystyle=f\left[f\left(x_{1},y_{3}\right),f\left(y_{2},v\right)\right]=f\left[f\left(x_{3},y_{1}\right),f\left(y_{2},v\right)\right]=f\left[f\left(x_{3},y_{2}\right),f\left(y_{1},v\right)\right]

We can observe that in the first and last members the second argument is identical, therefore using condition c) we obtain:f(x2,y3)==f(x3,y2)f\left(x_{2},y_{3}\right)==f\left(x_{3},y_{2}\right).

It follows from Theorem III thatf(x,y)f(x,y)can be written in the form

f(x,y)=H1[F(x)+G(y)].f(x,y)=H^{-1}[F(x)+G(y)].

Substituting in (3), we obtain

H1{FH1[F(u)+G(x)]\displaystyle H^{-1}\left\{FH^{-1}[F(u)+G(x)]\right. +GH1[F(y)+G(v)]}=H1{FH1[F(u)+G(y)]+\displaystyle\left.+GH^{-1}[F(y)+G(v)]\right\}=H^{-1}\left\{FH^{-1}[F(u)+G(y)]+\right.
+GH1[F(x)+G(v)]}.\displaystyle\left.+GH^{-1}[F(x)+G(v)]\right\}.

By equating the arguments of the functionH1H^{-1}on both sides of the equation and by changing the notations

FH1=φ,GH1=ψ\displaystyle FH^{-1}=\varphi,\quad GH^{-1}=\psi (8)
H(u)=s,H(v)=t,H(x)=ξ,H(y)=η,\displaystyle H(u)=s,H(v)=t,H(x)=\xi,H(y)=\eta,

we obtain

φ[φ(s)+ψ(ξ)]+ψ[φ(η)+ψ(t)]=φ[φ(s)+ψ(η)]+ψ[φ(ξ)+ψ(t)]\varphi[\varphi(s)+\psi(\xi)]+\psi[\varphi(\eta)+\psi(t)]=\varphi[\varphi(s)+\psi(\eta)]+\psi[\varphi(\xi)+\psi(t)]

Or

φ[φ(s)+ψ(ξ)]φ[φ(s)+ψ(η)]=ψ[φ(ξ)+ψ(t)]ψ[φ(η)+ψ(t)].\varphi[\varphi(s)+\psi(\xi)]-\varphi[\varphi(s)+\psi(\eta)]=\psi[\varphi(\xi)+\psi(t)]-\psi[\varphi(\eta)+\psi(t)].

The second member does not containss, done

φ(s2)φ(s1)=Kξ,η if s2s1=ψ(ξ)ψ(η).\varphi\left(s_{2}\right)-\varphi\left(s_{1}\right)=K_{\xi,\eta}\quad\text{ si }\quad s_{2}-s_{1}=\psi(\xi)-\psi(\eta).

The value ofddGiven that a decision has been made, let's chooseξ\xiAndη\etasuch asψ(ξ)ψ(η)=d\psi(\xi)-\psi(\eta)=d ; SOKξ,η=λ(d)K_{\xi,\eta}=\lambda(d), And

φ(s2)φ(s1)=λ(s2s1),\varphi\left(s_{2}\right)-\varphi\left(s_{1}\right)=\lambda\left(s_{2}-s_{1}\right),

for all values ​​ofs1s_{1}Ands2s_{2}contained within the function's definition domainφ\varphiBy changing the notation, we obtain a functional equation similar to the Cauchy equation, but containing two unknown functions.

φ(x+y)=φ(x)+λ(y)\varphi(x+y)=\varphi(x)+\lambda(y) (9)

By askingx=x0,λ(y)=φ(y+x0)φ(x0)x=x_{0},\lambda(y)=\varphi\left(y+x_{0}\right)-\varphi\left(x_{0}\right), equation (9) becomes

φ(x+y)=φ(x)+φ(y+x0)φ(x0).\varphi(x+y)=\varphi(x)+\varphi\left(y+x_{0}\right)-\varphi\left(x_{0}\right).

Forφ(x+x0)φ(x0)=Φ(x)\varphi\left(x+x_{0}\right)-\varphi\left(x_{0}\right)=\Phi(x)we obtain

Φ(x+yx0)=Φ(xx0)+Φ(y)\Phi\left(x+y-x_{0}\right)=\Phi\left(x-x_{0}\right)+\Phi(y)

or, using the notationxx0=xx-x_{0}=x^{\prime},

Φ(x+y)=Φ(x)+Φ(y),\Phi\left(x^{\prime}+y\right)=\Phi\left(x^{\prime}\right)+\Phi(y),

that is to say, Cauchy's equation itself; consequently

Φ(x)=hasx\Phi(x)=ax

And

φ(x)=Φ(xx0)+φ(x0)=has(xx0)+φ(x0)=hasx+c1.\varphi(x)=\Phi\left(x-x_{0}\right)+\varphi\left(x_{0}\right)=a\left(x-x_{0}\right)+\varphi\left(x_{0}\right)=ax+c_{1}.

In the same way we obtainψ(x)=bx+c2\psi(x)=bx+c_{2}From
formula (8) we haveF=φH=hasH+c1F=\varphi H=aH+c_{1}AndG=ψH=bH+c2G=\psi H=bH+c_{2}. Therefore

f(x,y)=H1[hasH(x)+bH(y)+c]f(x,y)=H^{-1}[aH(x)+bH(y)+c] (10)

(c=c1+c2)\left(c=c_{1}+c_{2}\right)As for the functionH(x)H(x)we know that it is continuous, monotonic in the restricted sense and satisfies the conditionEEThe conditionEEIn this case, it can be stated as follows: the interval(γ,δ)(\gamma,\delta)values ​​of the functionH(x)H(x)satisfied with the

ConditionE:h1,h2(γ,δ)hash1+bh2+c(γ,δ)E^{\prime}:h_{1},h_{2}\in(\gamma,\delta)\rightarrow ah_{1}+bh_{2}+c\in(\gamma,\delta)It
can easily be seen that the following forms of the interval (γ,δ\gamma,\delta) are equivalent to the conditionEE^{\prime}, for values ​​different fromhas,b,ca,b,c.

Ifhas+b1a+b\neq 1, we can assumec=0c=0(because by writingH(x)==H1(x)+c/(has+b1)H(x)==H_{1}(x)+c/(a+b-1)(the constant term will disappear). In cases I. - V. we have assumedc=0c=0.
I.has>0,b>0,has+b<1:γ<0<δa>0,b>0,a+b<1:\quad\gamma<0<\delta
II.has>0,b>0,has+b>1:γ0,δ=a>0,b>0,a+b>1:\quad\gamma\geqslant 0,\delta=\inftyOrγ=,δ0\gamma=-\infty,\delta\leqslant 0
III.has<0,b<0,has+b1:γ+δ=0a<0,b<0,a+b\geqslant-1:\quad\gamma+\delta=0
IV.has<0,b<0,has+b<1:γ=,δ=+a<0,b<0,a+b<-1:\quad\gamma=-\infty,\delta=+\infty
V.hasb<0ab<0 :
VI.has+b=1.0<has<1,c=0:(γ,δ)a+b=1,0<a<1,c=0:\quad(\gamma,\delta)any
VII.has+b=1.0<has<1,c>0a+b=1,0<a<1,c>0 :γ\quad\gammaany,δ=+\delta=+\infty
VIII.has+b=1.0<has<1,c<0:γ=,δa+b=1,0<a<1,c<0:\quad\gamma=-\infty,\deltaany
IX.has+b=1,has<0a+b=1,a<0Orhas>1:γ=,δ=+a>1:\quad\gamma=-\infty,\delta=+\infty

In all cases, the reasoning is based on the fact thatp0,q0p\geqslant 0,q\geqslant 0,p+q=1ph1+qh2[h1,h2]p+q=1\rightarrow ph_{1}+qh_{2}\in\left[h_{1},h_{2}\right].

We have shown that (10) is a consequence of conditions a)-d), whereH(x)H(x)is continuous, monotonic in the restricted sense, and where the interval (γ,δ\gamma,\delta) of its values ​​satisfies the conditionEE^{\prime}(or I.-IX). Conversely, the functions (10) withH(x)H(x)as specified satisfy conditions a)-d), which can be verified directly.

Observation. We obtain the same result if the interval (α,β\alpha,\beta) is closed or half-open. It suffices to consider the open interval (α,β\alpha,\beta) ; from condition c) it follows thatf(x,y)=αf(x,y)=\alphaOrβ\betaonly ifxxAndyyare the extremities of the interval (α,β\alpha,\beta), therefore condition a) remains valid for the open interval; conditions b) - d) obviously remain valid. We apply Theorem IV. for the open interval (α,β\alpha,\beta), we define the functionH(x)H(x)for a orβ\betaby continuity, which is possible ifγ,δ\gamma,\delta\neq\inftyrespectively. The conditionEE^{\prime}becomes more restrictive. For a closed interval[α,β][\alpha,\beta]only cases I, III and VI remain half-open tervalle [α,β\alpha,\beta) we can add cases II and VIII.
add cases II and VII and for (α,β\alpha,\beta2.
The bisymmetry equation with additional conditions solved the bisymmetry equation of ab. J. AczéL, the following additional conditions: approach by imposing on the solution the
e) Reflexivity:f(x,x)=xf(x,x)=xf
) Symmetry:

f(x,y)=f(y,x),x(α,β).f(x,y)=f(y,x),\quad x\in(\alpha,\beta).

Later he removed condition f) and finally condition e), [2]. After solving the equation of bisymmetry in general at point 1, we can now easily recover these intermediate results as well. In the following considerations the interval (α,β\alpha,\beta) can be open, closed or half-open.

Conditions a)-e) are necessary and sufficient for the functionf(x,y)f(x,y)either in the form

f(x,y)=H1[hasH(x)+bH(y)],(has+b=1).f(x,y)=H^{-1}[aH(x)+bH(y)],\quad(a+b=1). (11)

We can immediately verify that (11) satisfies conditions a)-e).
Now suppose that the functionf(x,y)f(x,y)satisfies conditions
a)-e). Using the result from point 1, we can write

f(x,y)=H1[hasH(x)+bH(y)+c]f(x,y)=H^{-1}[aH(x)+bH(y)+c]

then condition e) becomes

hasH(x)+bH(x)+c=H(x)aH(x)+bH(x)+c=H(x)

Forx(α,β)x\in(\alpha,\beta)possible only whenc=0,has+b=1c=0,a+b=1The
immediate result is:
The functionf(x,y)f(x,y)satisfies conditions a)-f) if and only if

f(x,y)=H1[H(x)+H(y)2]f(x,y)=H^{-1}\left[\frac{H(x)+H(y)}{2}\right] (12)

Observations. 1) Conditions a)—f) can be replaced by a),b{}^{\circ}\mathrm{b}),
this

Distributivity in itself:f[x,f(y,z)]=f[f(x,y),/(z,x)];f[x,f(y,z)]=f[f(x,y),/(z,x)];
This follows from a note by Ryll-Nardzewski via (12) [9], or directly, as Knaster showed [10].
2) Conditions d) and f) can be replaced by the modified bisymmetry equation

f[f(u,x),f(v,y)]=f[f(u,y),f(v,x)].f[f(u,x),f(v,y)]=f[f(u,y),f(v,x)]. (13)

Because, by askingu=v,f(u,x)=ξ,f(u,y)=ηu=v,f(u,x)=\xi,f(u,y)=\etaIt follows that

f(ξ,η)=f(η,ξ),f(\xi,\eta)=f(\eta,\xi),

which leads to equation (10). On the other hand, equation (10) and symmetry lead to equation (13).
3. The equation of associativity. Letf(x,y)f(x,y)a function defined forx,y(α,β)(α,βx,y\in(\alpha,\beta)(\alpha,\beta(can be infinite) enjoying the following properties:
a)f(x,y)(α,β)f(x,y)\in(\alpha,\beta)(f operation)
b) continuous and monotonic in the restricted sense
c)f[f(x,y),t]=f[x,f(y,t)]f[f(x,y),t]=f[x,f(y,t)](f associative).
J. ACZÉL demonstrated [5] that these conditions are necessary and sufficient for thatf(x,y)f(x,y)either in the form

f(x,y)=H1[H(x)+H(y)],f(x,y)=H^{-1}[H(x)+H(y)],

OrH(x)H(x)is a continuous and monotonic function in the restricted sense in (α,β\alpha,\beta).
We will now demonstrate this result using our method, that is, by first verifying the conditionBB.

Either

f(x1,y2)=f(x2,y1),f(x1,y3)=f(x2,y2)=f(x3,y1);f\left(x_{1},y_{2}\right)=f\left(x_{2},y_{1}\right),f\left(x_{1},y_{3}\right)=f\left(x_{2},y_{2}\right)=f\left(x_{3},y_{1}\right); (14)

we can choose the valuest1t_{1}Andt2t_{2}such as

f(y1,t2)=f(y2,t1)f\left(y_{1},t_{2}\right)=f\left(y_{2},t_{1}\right) (15)

when|y1y2|\left|y_{1}-y_{2}\right|is sufficiently small, which we can assume by virtue of Theorem II. Using c), (14) and (15) we obtain successively

f[x1,f(y2,t2)]=f[f(x1,y2),t2]=f[f(x2,y1),t2]=f[x2,f(y1,t2)]=\displaystyle f\left[x_{1},f\left(y_{2},t_{2}\right)\right]=f\left[f\left(x_{1},y_{2}\right),t_{2}\right]=f\left[f\left(x_{2},y_{1}\right),t_{2}\right]=f\left[x_{2},f\left(y_{1},t_{2}\right)\right]=
=f[x2,f(y2,t1)]=f[f(x2,y2),t1]=f[f(x1,y3),t1]=f[x1,f(y3,t1)]\displaystyle=f\left[x_{2},f\left(y_{2},t_{1}\right)\right]=f\left[f\left(x_{2},y_{2}\right),t_{1}\right]=f\left[f\left(x_{1},y_{3}\right),t_{1}\right]=f\left[x_{1},f\left(y_{3},t_{1}\right)\right]

In the first and last members the first argument is identical, therefore it follows from monotonicity in the restricted sense that

f(y3,t1)=f(y2,t2)f\left(y_{3},t_{1}\right)=f\left(y_{2},t_{2}\right) (16)

Using c), (14), (15) and (16), we have
hence

f[f(x2,y3),t1]=f[x2,f(y3,t1)]=f[x2,f(y2,t2)]=f[f(x2,y2),t2]=\displaystyle f\left[f\left(x_{2},y_{3}\right),t_{1}\right]=f\left[x_{2},f\left(y_{3},t_{1}\right)\right]=f\left[x_{2},f\left(y_{2},t_{2}\right)\right]=f\left[f\left(x_{2},y_{2}\right),t_{2}\right]=
=f[f(x3,y1),t2]=f[x3,f(y1,t2)]=f[x3,f(y2,t1)]=f[f(x3,y2),t1]\displaystyle=f\left[f\left(x_{3},y_{1}\right),t_{2}\right]=f\left[x_{3},f\left(y_{1},t_{2}\right)\right]=f\left[x_{3},f\left(y_{2},t_{1}\right)\right]=f\left[f\left(x_{3},y_{2}\right),t_{1}\right]
f(x2,y3)=f(x3,y2)f\left(x_{2},y_{3}\right)=f\left(x_{3},y_{2}\right) (17)

The conditionBBis satisfied, therefore

f(x,y)=H1[F(x)+G(y)]f(x,y)=H^{-1}[F(x)+G(y)]

By substituting it in c), by equating the arguments of the functionH1H^{-1}in both members and by grouping the terms, we obtain

FH1[F(x)+G(y)]F(x)=GH1[F(y)+G(t)]G(t).FH^{-1}[F(x)+G(y)]-F(x)=GH^{-1}[F(y)+G(t)]-G(t).

The second member does not containxx, SO

Note

FH1[F(x)+G(y)]F(x)=λ[G(y)]FH^{-1}[F(x)+G(y)]-F(x)=\lambda[G(y)] (18)
FH1=φ;F(x)=ξ,G(y)=η.FH^{-1}=\varphi;\quad F(x)=\xi,\quad G(y)=\eta.

Equation (18) becomes
, by settingη=\eta=const. on a
doneFH1(ξ)=ξ+hasFH^{-1}(\xi)=\xi+aOr

φ(ξ)=ξ+has,\varphi(\xi)=\xi+a,
F(x)=H(x)+hasF(x)=H(x)+a

In a similar way

G(x)=H(x)+bG(x)=H(x)+b

done

H[f(x,y)]=H(x)+H(y)+has+bH[f(x,y)]=H(x)+H(y)+a+b

and by a change in notation

f(x,y)=H1[H(x)+H(y)].f(x,y)=H^{-1}[H(x)+H(y)]. (19)

On the other hand, these functions satisfy equation c). Therefore, we have found the result of J. Aczél.

Since functions (19) are special cases of functions (10), we can apply here the discussion of the values ​​of the functionH(x)H(x)(page 13). In (19)has=b=1a=b=1Therefore, it is case II that is valid.
4. The half-symmetry equation. We have given this name to the equation

f[f(t,x),y]=f[f(t,y),x]f[f(t,x),y]=f[f(t,y),x] (20)

solved for the first time by AR SCHWEITZER, who had reduced it to a differential equation [11], and recently by m. Hosszu for the functionsf(x,y)f(x,y)continuous and monotonic in the restricted sense within the interval (α,β\alpha,\beta) [12].

Eitherf(x,y)f(x,y)a continuous and monotonic operation in the restricted sense in (α,β\alpha,\beta) which satisfies equation (20). We demonstrate that the conditionTTis verified. That is

f(x1,y2)=f(x2,y1),f(x1,y3)=f(x3,y1)f\left(x_{1},y_{2}\right)=f\left(x_{2},y_{1}\right),f\left(x_{1},y_{3}\right)=f\left(x_{3},y_{1}\right) (21)

SO

f[f(x2,y3),y1]=f[f(x2,y1),y3]=f[f(x1,y2),y3]=\displaystyle f\left[f\left(x_{2},y_{3}\right),y_{1}\right]=f\left[f\left(x_{2},y_{1}\right),y_{3}\right]=f\left[f\left(x_{1},y_{2}\right),y_{3}\right]=
=f[f(x1,y3),y2]=f[f(x3,y1),y2]=f[f(x3,y2),y1]\displaystyle=f\left[f\left(x_{1},y_{3}\right),y_{2}\right]=f\left[f\left(x_{3},y_{1}\right),y_{2}\right]=f\left[f\left(x_{3},y_{2}\right),y_{1}\right]

By comparing the first and last terms, we obtainf(x2,y3)==f(x3,y2)f\left(x_{2},y_{3}\right)==f\left(x_{3},y_{2}\right)that is to say, the conditionTTis verified. It follows from Theorem III that

f(x,y)=H1[F(x)+G(y)]f(x,y)=H^{-1}[F(x)+G(y)]

Substitute in (20)

FH1[F(t)+G(x)]+G(y)=FH1[G(t)+G(y)]+G(x),FH^{-1}[F(t)+G(x)]+G(y)=FH^{-1}[G(t)+G(y)]+G(x),

which impliesFH1(x)=x+hasFH^{-1}(x)=x+a, that's to sayF(x)=H(x)+hasF(x)=H(x)+aBy changingG(y)+hasG(y)+abyG(y)G(y), we obtain

f(x,y)=H1[H(x)+G(y)].f(x,y)=H^{-1}[H(x)+G(y)]. (22)

On the other hand, the functions (22) satisfy equation (20), therefore the functions (22) are the most general continuous and monotonic solutions in the restricted sense of equation (20).

The domain(γ,δ)(\gamma,\delta)values ​​of the functionH(x)H(x)is subject to the restriction that the numbersH(x)+G(y)H(x)+G(y)must belong to(γ,δ)(\gamma,\delta). IfG(y)G(y)only takes positive values, the restriction isδ=\delta=\infty ; ifG(y)G(y)only takes negative values, thenγ=\gamma=-\infty ; ifG(y)G(y)can be positive as well as negative, so the restriction is stronger:γ=\gamma=-\infty,δ=+\delta=+\infty5.
Extension for the case wheref(x,y)f(x,y)is not an operation. In this paragraph we have assumed so far that forx,y(α,β),f(x,y)(α,β)x,y\in(\alpha,\beta),f(x,y)\in(\alpha,\beta)that is to say thatf(x,y)f(x,y)is an operation. The reasoning used to solve the equations of bisymmetry, associativity, and halfsymmetry can be applied with obvious modifications for the case where the condition of operation is replaced by another weak one: the interval(α,β)(\alpha,\beta)contains a subinterval(α,β)\left(\alpha^{\prime},\beta^{\prime}\right)such as forx,y(α,β)x,y\in\left(\alpha^{\prime},\beta^{\prime}\right),f(x,y)(α,β)f(x,y)\in(\alpha,\beta)Then solutions (10), (19) and (22) respectively are valid in (α,β\alpha^{\prime},\beta^{\prime}).

The existence of the interval (α,β\alpha^{\prime},\beta^{\prime}) is ensured when ityyaeϵ(α,β)\epsilon(\alpha,\beta)for whichf(e,e)=ef(\mathrm{e},\mathrm{e})=\mathrm{e}.

§ 3. Determining the scales

Once it has been established that the functionz=f(x,y)z=f(x,y)can be written in the form (1), the problem of determining the functions arisesF(x),G(y)F(x),G(y)AndH(z)H(z)that is, determining the equations of the respective scales. To do this, we must solve the functional equation (1) wheref(x,y)f(x,y)is a given function andF(x),G(y),H(z)F(x),G(y),H(z)three unknown functions of a single variable. With the notationF(x)=ξ,G(y)=ηF(x)=\xi,G(y)=\eta, equation (1) can be written as follows
or

H1(ξ+η)=f[F1(ξ),G1(η)]H^{-1}(\xi+\eta)=f\left[F^{-1}(\xi),G^{-1}(\eta)\right]

(23)

χ(x+y)=f[φ(x),Ψ(y)]\chi(x+y)=f[\varphi(x),\Psi(y)]

(φ=F1,ψ=G1,χ=H1)\left(\varphi=F^{-1},\psi=G^{-1},\chi=H^{-1}\right)Equation (23) is a generalization of the functional equation to an unknown function, considered by J. AczÉL [4]
φ(x+y)=t[φ(x),φ(y)]\varphi(x+y)=t[\varphi(x),\varphi(y)],+φ(y))+\varphi(y)).

An immediate consequence of the results in § 1 is
Theorem v. The necessary and sufficient condition for equation (23) to admit a system of continuous and monotonic solutions in the restricted sense is that the functionf(x,y)f(x,y)either continuous, monotonous (in the senserr.) and that it meets one of the conditionsB,T,RB,T,R.

Solving equation (23) is equivalent to solving equation (24), for which J. ACZÉL provided a general method for constructing the solution. Indeed, by settingy=0y=0, Thenx=0x=0and notingg(0)=b,h(0)=cg(0)=b,h(0)=cwe have

By eliminating from (25) the functionsφ(x)\varphi(x)Andψ(y)\psi(y)we obtain an equation of the form (24).

Example. Consider solving the equation with 3 unknown functions:

χ(x+y)=φ(x)+ψ(y).\chi(x+y)=\varphi(x)+\psi(y). (26)

We have

χ(x)=φ(x)+c\displaystyle\chi(x)=\varphi(x)+c
χ(y)=b+ψ(y);\displaystyle\chi(y)=b+\psi(y);

Substituting into (26) we obtain

χ(x+y)=χ(x)+χ(y)bc.\chi(x+y)=\chi(x)+\chi(y)-b-c.

By replacing the unknown functionχ(x)\chi(x)byχ¯(x)+b+c\bar{\chi}(x)+b+c, we obtain forχ¯(x)\bar{\chi}(x)Cauchy's equation

χ¯(x+y)=χ¯(x)+χ¯(y),\bar{\chi}(x+y)=\bar{\chi}(x)+\bar{\chi}(y),

who accepts the solutionχ¯(x)=hasx\bar{\chi}(x)=ax. Therefore

{φ(x)=hasx+bψ(x)=hasx+cχ(x)=hasx+b+c.\left\{\begin{array}[]{l}\varphi(x)=ax+b\\ \psi(x)=ax+c\\ \chi(x)=ax+b+c.\end{array}\right.

On the other hand, the functions (27) satisfy equation (26). The solution to equation (26) is (27), wherehas,b,ca,b,care arbitrary constants.

Observation. Equation (26) is a generalization of the Cauchy equation, the solution of which by another method is known [13].

Let's study the number of solutions to equation (23). We notice that ifφ(x),ψ,(x),χ(x)\varphi(x),\psi,(x),\chi(x)is a system of continuous and monotonic solutions, so the functions

{φ*(x)=φ(hasx+b)ψ*(x)=ψ(hasx+c)χ*(x)=χ(hasx+b+c)\left\{\begin{array}[]{l}\varphi^{*}(x)=\varphi(ax+b)\\ \psi^{*}(x)=\psi(ax+c)\\ \chi^{*}(x)=\chi(ax+b+c)\end{array}\right.

similarly form a system of solutions. Let's demonstrate that no
other solutions exist. Letφ¯(x),ψ¯(x),χ¯(x)\bar{\varphi}(x),\bar{\psi}(x),\bar{\chi}(x)an arbitrary (continuous and monotonic) solution of equation (23). We have

χ(x+y)=f[φ(x),ψ(y)]\displaystyle\chi(x+y)=f[\varphi(x),\psi(y)]
χ¯(x+y)=f[φ¯(x),ψ¯(y)];\displaystyle\bar{\chi}(x+y)=f[\bar{\varphi}(x),\bar{\psi}(y)];

determineuuAndvvsuch as

φ(u)=φ¯(x) And ψ(v)=ψ¯(y);\varphi(u)=\bar{\varphi}(x)\quad\text{ et }\quad\psi(v)=\bar{\psi}(y);

SOχ¯(x+y)=χ(u+v)\bar{\chi}(x+y)=\chi(u+v)Or

χ1χ¯(x+y)=φ1φ¯(x)+ψ1ψ(y).\chi^{-1}\bar{\chi}(x+y)=\varphi^{-1}\bar{\varphi}(x)+\psi^{-1}\psi(y).

This equation is precisely our example (26) with unknown functionsφ11φ¯,ψ1ψ¯,χ1χ¯\varphi_{-1}^{-1}\bar{\varphi},\psi^{-1}\bar{\psi},\chi^{-1}\bar{\chi}, that's to sayφ1φ¯(x)=hasx+b,ψ1ψ¯(x)=hasx+c\varphi^{-1}\bar{\varphi}(x)=ax+b,\psi^{-1}\bar{\psi}(x)=ax+c,χ¯1χ¯(x)=hasx+b+c\underline{\chi}^{-1}\bar{\chi}(x)=ax+b+cfrom which resultsφ¯(x)=φ(hasx+b),ψ¯(x)=ψ(hasx+c)\bar{\varphi}(x)=\varphi(ax+b),\bar{\psi}(x)=\psi(ax+c),χ(x)=χ(hasx+b+c)\chi(x)=\chi\quad(ax+b+c)Theorem VI .
Formulas (28) represent all continuous and monotonic solutions of equation (23),φ(x),ψ(x),χ(x)\varphi(x),\psi(x),\chi(x)being one of these solutions andhas,b,ca,b,carbitrary constants.

§ 4. The functionψuv(x,y;f)\psi_{uv}(x,y;f)

Either again

z=f(x,y)z=f(x,y) (29)

a monotonic function in the restricted sense and continuous in a domainDDEquation (29) can be solved with respect toxxAndyy :

x=f¯(y,z),y=f~(z,x)x=\bar{f}(y,z),y=\tilde{f}(z,x)

The functionsf¯\bar{f}Andf~\tilde{f}are defined in domainsD¯\bar{D}AndD~\tilde{D}respectively, and they are continuous and monotonic in the narrow sense. Let

ψuv(x,v;f)=ψuv(x,y)=f[f¯(u,x),f~(y,v)]\psi_{uv}(x,v;f)=\psi_{uv}(x,y)=f[\bar{f}(u,x),\tilde{f}(y,v)] (30)

ForuuAndvvwe always choose values ​​such as(v,u)D(v,u)\in DThen the function (30) is defined in a domainDuvD_{uv}certainly not empty. Indeed, eitherRRan interior rectangleDD, containing the point (v,uv,u), AndHAS,HASA^{\prime},AAndB,BB^{\prime},Brespectively the intersections of the linesη=u\eta=uAndξ=v\xi=vwith the sides of the rectangle (fig. 8). Let's choose the rectangleRRin the way that the pointsHAS,BA,BAndHAS,BA^{\prime},B^{\prime}, respectively, are each on the same function level linef(x,y)f(x,y), and let's note the values ​​off(x,y)f(x,y)inHASA^{\prime}AndHASAbyα\alphaAndβ\betarespectively. SoDuvD_{uv}contains the domainα<x<β,α<y<β\alpha<x<\beta,\alpha<y^{\prime}<\beta, because if we take (x,yx,y) and let us note the intersection of the level line x withHASHASA^{\prime}AbyPPand that of theyywithBBB^{\prime}BbyQQ, then the point of intersection

MMparallels to the axesξ\xi,η\etaled byQQAndPPis located within the groundsR.ψuv(x,y;f)R.\psi_{uv}(x,y;f)is equal to the value of the functionf(x,y)f(x,y)inMMFormula (30) can be written in the form

ψuv(x,y;f)=\psi_{uv}(x,y;f)= (31)

=f(x,y)=f\left(x^{\prime},y^{\prime}\right), Orx=x=
=f(x,u),y=f(v,y)=f\left(x^{\prime},u\right),y=f\left(v,y^{\prime}\right)
or (changingxx^{\prime}inxxAndyy^{\prime}inyy)

(32)f(x,y)=\displaystyle(32)\quad f(x,y)= (32)
=ψuv[f(x,u),f(v,y);f]\displaystyle=\psi_{uv}[f(x,u),f(v,y);f]

Let us now consider

z=f(x,y)=z=f(x,y)= (1)

=H1[F(x)+G=H^{-1}[F(x)+G

(y) ];

then
(33)ψuv(x,y;f)=\psi_{uv}(x,y;f)=

H1[H(x)+H(y)\displaystyle H^{-1}[H(x)+H(y)-
G(u)F(v)]\displaystyle\quad-G(u)-F(v)]

which is a symmetric, associative, bisymmetric, and half-symmetric function ofxxAndyyThe following theorems show that any one of these properties characterizes the class of functions (1).
Theorem iv'. The following conditions are necessary and sufficient for the functionf(x,y)f(x,y)either of the form (1) withF,G,HF,G,Hcontinuous and montone functions in the restricted sense:
a) the functionf(x,y)f(x,y)must be continuous and monotonous in the senserrb
) the functionψuv(x,y;f)\psi_{uv}(x,y;f)must be associative.

It must be shown that these conditions are sufficient. Suppose a) and b) and denotee=f(v,u)e=f(v,u)According to (32) we have

ψuv(e,e;f)=ψuv[f(v,u),f(v,u);f]=f(v,u)=e\psi_{uv}(e,e;f)=\psi_{uv}[f(v,u),f(v,u);f]=f(v,u)=e

Therefore, we can apply point 5 of § 2:

ψuv(x,y;f)=Huv1[Huv(x)+Huv(y)],\psi_{uv}(x,y;f)=H_{uv}^{-1}\left[H_{uv}(x)+H_{uv}(y)\right],

when(x,y)(x,y)is in a neighborhood of the point(e,e)(e,e)Referring again to (32),

f(x,y)=Huv1{Huv[f(x,u)]+Huv[f(v,y)]}f(x,y)=H_{uv}^{-1}\left\{H_{uv}[f(x,u)]+H_{uv}[f(v,y)]\right\}

for a neighborhood of the point (v,uv,u), that is to say any point of theDDhas a neighborhood in whichf(x,y)f(x,y)is of the form (1). It follows from Theorem II thatf(x,y)f(x,y)is of the form (1) inDD.

The condition for the associativity of the functionψuv\psi_{uv}is the conditionRRherself, written in another form. Indeed, suppose

f(x1,y3)=f(x2,y1),f(x1,y4)=f(x2,y2),f(x3,y3)=f(x4,y1)f\left(x_{1},y_{3}\right)=f\left(x_{2},y_{1}\right),f\left(x_{1},y_{4}\right)=f\left(x_{2},y_{2}\right),f\left(x_{3},y_{3}\right)=f\left(x_{4},y_{1}\right) (34)

and let's put in

ψuv[ψuv(r,s),t]=ψuv[r,ψuv(s,t)]\psi_{uv}\left[\psi_{uv}(r,s),t\right]=\psi_{uv}\left[r,\psi_{uv}(s,t)\right] (35)

u=y3,v=x2,r=f(x4,y3),s=f(x1,y3),t=f(x2,y4)u=y_{3},v=x_{2},r=f\left(x_{4},y_{3}\right),s=f\left(x_{1},y_{3}\right),t=f\left(x_{2},y_{4}\right)So we have (34) and (32)

ψuv(r,s)=ψy3x2[f(x4,y3),f(x2,y1)]=f(x4,y1)=f(x3,y3)\displaystyle\psi_{uv}(r,s)=\psi_{y_{3}x_{2}}\left[f\left(x_{4},y_{3}\right),f\left(x_{2},y_{1}\right)\right]=f\left(x_{4},y_{1}\right)=f\left(x_{3},y_{3}\right)
ψuv(s,t)=ψy3x2[f(x1,y3),f(x2,y4)]=f(x1,y4)=f(x2,y2)\displaystyle\psi_{uv}(s,t)=\psi_{y_{3}x_{2}}\left[f\left(x_{1},y_{3}\right),f\left(x_{2},y_{4}\right)\right]=f\left(x_{1},y_{4}\right)=f\left(x_{2},y_{2}\right)

and (35) appears in the form

ψy3x2[f(x3,y3),f(x2,y4)]=ψy3x2[f(x4,y3),f(x2,y2)]\psi_{y_{3}x_{2}}\left[f\left(x_{3},y_{3}\right),f\left(x_{2},y_{4}\right)\right]=\psi_{y_{3}x_{2}}\left[f\left(x_{4},y_{3}\right),f\left(x_{2},y_{2}\right)\right]

or, taking into account again (32),f(x3,y4)=f(x4,y2)f\left(x_{3},y_{4}\right)=f\left(x_{4},y_{2}\right) ; therefore (35) is equivalent to the conditionRRThus, Theorem IV' essentially expresses the same thing as Theorem IV.

Observation. Theorem IV, which was proven in § 1 by a method inspired by the theory of hexagonal tissues, is now proven by a new method starting from the results of J. ACZÉL, notably using the solution of the associativity equation [5].
Theorem III. The following conditions are necessary and sufficient for the functionz=f(x,y)z=f(x,y)either of the form (1) with the functionsF,G,HF,G,Hcontinuous and monotonous in the restricted sense:
a)f(x,y)f(x,y)continuous and monotonous in the restricted sense,
b)Ψuv(x,y;f)\Psi_{uv}(x,y;f)a symmetric function ofxxAndyyForuuAndvvany.

Indeed, condition b) is equivalent to the conditionTT, because if
then

ξ=f(x1,y2)=f(x2,y1),η=f(x1,y3)=f(x3,y1)\xi=f\left(x_{1},y_{2}\right)=f\left(x_{2},y_{1}\right),\quad\eta=f\left(x_{1},y_{3}\right)=f\left(x_{3},y_{1}\right)

And

f(x2,y3)=f[f¯(y1,ξ),f~(η,x1)]=ψy1x1(ξ,η)\displaystyle f\left(x_{2},y_{3}\right)=f\left[\bar{f}\left(y_{1},\xi\right),\tilde{f}\left(\eta,x_{1}\right)\right]=\psi_{y_{1}x_{1}}(\xi,\eta)
f(x3,y2)=f[f¯(y1,η),f~(ξ,x1)]=ψy1x1(η,ξ)\displaystyle f\left(x_{3},y_{2}\right)=f\left[\bar{f}\left(y_{1},\eta\right),\tilde{f}\left(\xi,x_{1}\right)\right]=\psi_{y_{1}x_{1}}(\eta,\xi)

Therefore, Theorem III' is another form of Theorem III.
Observations. 1) In § 1, we directly demonstrated Theorem I, from which Theorem III immediately follows, and we deduced the solution to the equation of bisymmetry and associativity. Now another path is revealed: starting from the solution to the equation of associativity [5], we deduce Theorem IV', then Theorem IV, and then, using the imprint of bisymmetry, Theorem III. From there, we arrive at the solution to the equation of bisymmetry of hexagonal tissues [8], and the solution to the equation of associativity appears as a consequence of
2) The conditionTTor condition b) of Theorem III' or

f[f¯(u,x),f~(y,v)]=f[f¯(u,y),f~(x,v)]f[\bar{f}(u,x),\tilde{f}(y,v)]=f[\bar{f}(u,y),\tilde{f}(x,v)]

represent a generalization of bysimetry and at the same time a special case of equation (5).

The bisymmetry or half-symmetry of the functionψuv(x,y;f)\psi_{uv}(x,y;f)similarly characterize the class of functions (1). Indeed, assuming the bisymmetry or half-symmetry of the functionψuv(x,y;f)\psi_{uv}(x,y;f)we have

ψuv(x,y;f)=Φ1[Φ1(x)+Φ2(y)]\psi_{uv}(x,y;f)=\Phi^{-1}\left[\Phi_{1}(x)+\Phi_{2}(y)\right]

and, taking into account (32),

f(x,y)=Φ1{Φ1[f(x,u)]+Φ2[f(v,y)]}=H1[F(x)+G(y)].f(x,y)=\Phi^{-1}\left\{\Phi_{1}[f(x,u)]+\Phi_{2}[f(v,y)]\right\}=H^{-1}[F(x)+G(y)].

§ 5. Nomographical Interpretations

Suppose that the functionζ==f(ξ,η)\zeta==f(\xi,\eta)can be represented by a nomogram with aligned dots (fig. 9). Let's focus on the scalesξ\xiAndη\etathe ridge pointsvvAnduurespectively and on the scaleζ\zetathe ridge pointsxxAndyyLet's intersect the ladderξ\xiwith the rightuxux, the scaleη\etawithvyvy The line that connects these two points of intersection intersects the ladder.ζ\zetaat a coastal point

z=f[f¯(u,x)f~(y,v)]=ψuv(x,y;f).z=f[\bar{f}(u,x)\tilde{f}(y,v)]=\psi_{uv}(x,y;f).

The symmetry of the functionψuv(x,y;f)\psi_{uv}(x,y;f)The following property corresponds to the geometric locusLL, formed by the supports of the three scales: either advbcu a hexagon whose opposite sides intersect at the pointsx,y,zx,y,z ; if eight of these nine points are part of the geometric locus, then the9th 9^{\text{ieme }}point is also part of it (fig. 10). All cubics enjoy this property (Chasles' theorem) and cubics alone (dual of the Graf and Sauer theorem [14], [8]).

It follows that all nomograms with collinear points and scales located on the same cubic (proper or degenerate) represent an equation of the form (1), and there are no other nomograms with collinear points for the function (1).

To the associativity of the functionψuv(x,y;f)\psi_{uv}(x,y;f)The following property corresponds to the geometric locusLL : ifhasbcdabcdAndhasbcda^{\prime}b^{\prime}c^{\prime}d^{\prime}are two quadrilaterals inscribed inLLsuch as the intersection of pairs of lines(hasb,hasb)\left(ab,a^{\prime}b^{\prime}\right),
(cd,cdcd,c^{\prime}d^{\prime}) And (hasd,bcad,b^{\prime}c^{\prime}) should also be part ofLL, then the straight linesbcbcAndhasda^{\prime}d^{\prime}they also intersect onLL(fig. 11).

It follows that all cubics, and only they, possess this property.

The bisymmetry of the functionΨu𝝂(x,y;f)\Psi_{\boldsymbol{u}\boldsymbol{\nu}}(x,y;f)similarly leads to a characteristic property of cubics, but half-symmetry does not give a new property (we find again the figure 10).

§ 6. Characterization of functionsψuv(x,y;f)\psi_{uv}(x,y;f)

We saw in § 4 that the operationψuν(x,y;f)\psi_{u\nu}(x,y;f)applied to function (1) leads to a more specific function. The question then arises:f(x,y)f(x,y)Given any function, what functions will we obtain through the operation?ψuv(x,y;f)\psi_{uv}(x,y;f)We have
theorem vii. Letφ(x,y)\varphi(x,y)a continuous and montone function in any restricted sense. The necessary and sufficient condition for the existence of a functionf(x,y)f(x,y), continuous and monotonous, such as

φ(x,y)=ψuv(x,y;f)\varphi(x,y)=\psi_{uv}(x,y;f) (36)

is the existence of a number e with the following properties

x=φ(x,e),y=φ(e,y)x=\varphi(x,e),\quad y=\varphi(e,y) (37)

The condition is necessary. Taking into account (32)

f(x,y)=φ[f(x,u),f(v,y)].f(x,y)=\varphi[f(x,u),f(v,y)].
f(x,u)=φ[f(x,u),e]\displaystyle f(x,u)=\varphi[f(x,u),e]
f(v,y)=φ[e,f(v,y)]\displaystyle f(v,y)=\varphi[e,f(v,y)]

f(x,u)f(x,u)Andf(v,y)f(v,y)being able to take any values, we have checked (37).

The condition is sufficient. We admit (37), chooseu,vu,vsuch asf(u,v)=ef(u,v)=e, and beλ(x)\lambda(x)Andμ(y)\mu(y)two continuous and monotonic functions that satisfy the only condition

λ(v)=μ(u)=e\lambda(v)=\mu(u)=e

The function

f(x,y)=φ[λ(x),μ(y)]f(x,y)=\varphi[\lambda(x),\mu(y)]

verifies equation (38) equivalent to (36). Indeed

φ[f(x,u),f(v,y)]=φ{φ[λ(x),μ(u)],φ[λ(v),μ(y)]}=\displaystyle\varphi[f(x,u),f(v,y)]=\varphi\{\varphi[\lambda(x),\mu(u)],\varphi[\lambda(v),\mu(y)]\}=
=φ{φ[λ(x),e],φ[e,μ(y)]}=φ[λ(x),μ(y)]=f(x,y)\displaystyle=\varphi\{\varphi[\lambda(x),e],\varphi[e,\mu(y)]\}=\varphi[\lambda(x),\mu(y)]=f(x,y)

The necessary and sufficient condition (37) is equivalent to the condition (37')

ψst(s,t;φ)=e (constant) .\psi_{st}(s,t;\varphi)=e\text{ (constante) }.

Indeed, of(37)\left(37^{\prime}\right)results, taking into account (31),

φ(x,y)=e, when s=φ(x,s),t=φ(t,y)\varphi\left(x^{\prime},y^{\prime}\right)=e\text{, lorsque }s=\varphi\left(x^{\prime},s\right),t=\varphi\left(t,y^{\prime}\right)\text{. }

Supposessfixed andttvariable; thenxx^{\prime}is also fixed, thereforeyy^{\prime}also, that is to say that at attany corresponds to the sameyy^{\prime}We can also see that at assany corresponds to the samexx^{\prime}On the other hand, by writings=t=es=t=e

φ(x,y)=e,e=φ(x,e),e=φ(y,e),\varphi\left(x^{\prime},y^{\prime}\right)=e,\quad e=\varphi\left(x^{\prime},e\right),\quad e=\varphi\left(y^{\prime},e\right),

that is to sayx=y=ex^{\prime}=y^{\prime}=eIt follows that

s=φ(e,s) And t=φ(t,e)s=\varphi(e,s)\text{ et }t=\varphi(t,e)

ForssAndttarbitrary, that is to say precisely (37).
Now suppose that (37) is valid. Then there exists a functionf(x,y)f(x,y)such that (36) is valid. (37') results from the following identity

ψst[s,t;ψuv(x,y;f)=f(v,u).\psi_{st}\left[s,t;\psi_{uv}(x,y;f)=f(v,u).\right. (39)

It remains for us to demonstrate (39). We have seen that

s=ψuv[f(v,u),s;f],t=ψuv[t,f(v,u);f].s=\psi_{uv}[f(v,u),s;f],\quad t=\psi_{uv}[t,f(v,u);f]. (40)

Using (31) we have

ψst[s,t;ψuv(x,y;f)]=ψuv(s,t;f) when s=ψuv(s,s;f),t=ψuv(t,t;f).\psi_{st}\left[s,t;\psi_{uv}(x,y;f)\right]=\psi_{uv}\left(s^{\prime},t^{\prime};f\right)\text{ lorsque }s=\psi_{uv}\left(s^{\prime},s;f\right),t=\psi_{uv}\left(t,t^{\prime};f\right).

Compared with (40)

s=t=f(v,u),s^{\prime}=t^{\prime}=f(v,u),

and using (32), we obtain

ψst[s,t;ψuv(x,y;f)]=ψuv[f(v,u),f(v,u);f]=f(v,u).\psi_{st}\left[s,t;\psi_{uv}(x,y;f)\right]=\psi_{uv}[f(v,u),f(v,u);f]=f(v,u).

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ON SOME GENERAL FORMULAS OF SQUARING OF THE GAUSS-CHRISTOFFEL TYPE

by

in Cluj

Introduction

We know that a first generalization of the quadrature formula of f. C. GAUSS [1] is due to e B. CHRISTOFFEL [2], who consideredssfixed nodes – which are not within the integration interval – and determined othermmknots, so that the respective quadrature formula has the maximum degree of accuracy. Meanwhile, some mathematicians: fg Me.Gler [3], C. a. possé [4], e. he :ne [5], t. J. STIELTJES [6], a. markofF [7], J. DERUYTS [8], etc., have also made less essential generalizations of Gauss's quadrature formula, by multiplying the function to be integrated by a certain weighting function. However, an important and effective generalization of Gauss's quadrature formula was made recently by p. turAn [9], L. tchakalofF [10] and t. popoviciu [11]. Through the work of these mathematicians—and especially T. Popoviciu—a very general formula of the Gauss type has been arrived at, which employsmmmultiple nodes, of given odd multiplicity orders, which nodes are determined in such a way that the respective quadrature formula has the maximum degree of accuracy. We will generalize this last formula in the sense in which Christoffel generalized the classical Gaussian formula; namely, we will considerssmultiple nodes, fixed – with some restriction – anywhere on the real axis, and we will try to determine othersmmnodes, of given odd multiplicity orders, so that the quadrature formula obtained has the maximum degree of accuracy. In works [12,13], we have already obtained some partial results, but in this work we will construct a very general quadrature formula exhibiting a high degree of symmetry.

1959

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