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FUNCTIONAL EQUATIONS CHARACTERIZING NOMOGRAMS WITH THREE RECTILINEAR SCALES 1
Introduction
Either
the equations of the nomogram scales in Fig. 1. We assume that the functionsAndare continuous and monotonic in the narrow sense. Between the sidespoints, located on the same line, the relation takes place
(1)
Or,The functionThe 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 functions, 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 functionsadmitting partial derivatives up to the third order, then the necessary and sufficient condition for thateither of the form (1) is expressed by the condition of SAINT-ROBERT [1]:
J. ACZÉL characterized, under the conditions specified above, the particular case of the class of functions
(2)
by the functional equation
(3)
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
(4)
admits as a solution the functions (2), withJ.
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)
functions that are montone in the restricted sense and admit first-order partial derivatives are
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 functioneither of the form (1), The functionbeing continuous and montone in the restricted sense, the equationcan be resolved in relation toAndOne of the given conditions can be written as follows:
(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 domainin (2), which is required for different values ​​ofis also done in this work.
Ifverifies (6) and can therefore be put in the form (1), the problem of determining the functions remainsthat is, to determine the scales, which leads to studying the functional equation
to three unknown functionsof a single variable. It was considered by J. ACZÉL forWe 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
(1)
where the functionsFunctions of a single variable are continuous and monotonic in the narrow sense. Function (1) satisfies the
condition :Indeed
, by virtue of the monotonicity of the functionrelationships
train
from which we obtain by subtraction
Or
The conditionobviously leads to the
The geometric interpretation of this condition is as follows: the level lines of function (1) and the parallels to the axes form a fabric. Letany point on the plane anda point belonging to the line : (fig. 2); the line parallel to the axisled bymeets the contour line byinthe parallel to the axisbycuts the line parallel toin, the contour line byand the line parallel tobyintersect at the point, the parallel tobyand the contour line byintersect atFinally, the lines parallel to the axes through Q andrespectively meet in the conditionexemplify the property of pointsAndto 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 conditionexpresses the fact that all the Brianchon figures are closing.
Conversely, in the theory of hexagonal tissues it is demonstrated that for all functionscontinuous and montone in the restricted sense, the closure of Brianchon figures has the consequence thatis of the form (1) [6]. We present here a more direct proof of this theorem.
We admit that the function, defined in a domainis continuous and monotonic in the restricted sense with respect to each ofvariables and satisfies the conditionfor all points of the domainWe can also admit that the domaincontains within it the origin of the axes and that the functionis 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 pointsAnd, so that the domaineither in the first quadrant and inside of(fig. 3). The level line drawn through the point
intersectionparallels to the axes byAndcuts the axes inAndrespectively. By virtue of the conditionThe Brianchon figures close, therefore the points of intersectionAndparallels to the axes byAndAndrespectively are located on the same level line, which intersects the axes at the pointsAndThe pointsAndThe 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.Obviously, the same construction can be used for all dials; that isfor example the point of intersection of the contour line bywith the line parallel to the axisbyAndrespectively, the intersection of the line parallel to the axisbywith the parallel tobyAndrespectively; the pointsAndwill be on the same level, etc. We will designate bythe common x-coordinate of the points, bythe common ordinate of the points, bythat of the points, etc., and bythe common values ​​of the functionat the points,
Let's define the functionsAnd, for the moment ondiscrete pointsAnd, Thus :
Then the given functionsatisfied at the tops of the network built on the relationship
(7)
By virtue of continuity and montony in the restricted sense of the functionthe system of equationsadmits a single solutionAnd that is to say, it exists on the level linea single pointwhose projections to the axesAndare on the same level. Let's construct a rectangle with sides parallel to the axes and opposite verticesAnd ; then the other two verticesAndmust be located on the same level line. Similarlybeing the intersection of the parallel tobywith the contour line by, Andthe projection ofon the axis, the pointsAndmust 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 byAndrespectively, we haveLetthe values ​​of the functionon the new contour lines; thenBy defining
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.-th refinement we define the sets,and the values ​​of the functionsAndin these points by posing
This does not change the values ​​of these functions at the points of the ()th network and relation (7) is verified step by step.
are positive and form a decreasing sequence, which therefore has a limitWe have
It follows from the second equality, by virtue of continuity and montony all
—
the second
narrow sense ofthatalso has a limit, that isIf in the first equality, we obtain, that's to sayThe second equality entails, SO.
Let's consider a domain, interior to, limited by the coordinate axes and by the contour linebeing a network apex. So the wholeis dense on the segment, WhenAndvary. Indeed, suppose that there exists an intervalwhich does not contain points. For each, we determine the numberso that the interval () is betweenAndThe contour line bycut the axlein, the parallel toat this point meets the contour line byin(fig. 4). The projection of the pointonthat's precisely the pointTaking into account that for,we have, contradicting our hypothesis. It follows that the network points form a dense set on the domain.
Let us consider a domain, limited by the axes and by the contour line, assuming that it no longer passes through network points (fig. 5). We will demonstrate that the network points form a dense set onIt suffices to demonstrate thatis an accumulation point of the wholeformed by the pointslocated on the segmentLet's suppose the opposite, that is to say thateither located to the left ofWe know thatis dense onSo we can choose the pointsAndbelonging toin such a way that the rectanglehave the peaksAndon the same level line and the summiteither in the fieldIt follows thatAndare network points, that is to say thatwhich contradicts the hypothesis.
Let's cover the domainby domains, 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, ifcontains a network point, so it contains a dense set of them onIt immediately follows that the network points form a dense set on.
The functionsdefined on dense sets,respectively, are continuous and monotonic functions in the strict sense on these sets, so their definitions can be extended by continuity for all values, which are located in the intervals determined by the rectangle circumscribed about the domain, having sides parallel to the axes, and by the level lines tangent to this domain respectively. The functions,Thus defined, they are continuous, monotonic in the restricted sense, and further satisfy the
Condition The range of values ​​of the functioncontains all numbers of the form,.
We can see that relation (7) is verified for all the, if we take the limit through points of the lattice. Thus we have demonstrated
theorem i. Leta function defined in any domainThe condition, continuity and montony in the restricted sense of the functionare necessary and sufficient for the functioneither of the form (1), whereare continuous and monotonic functions in all restricted senses and satisfy the condition.
It follows from the demonstration that the condition can be replacedby another weaker one, requiring its verification only in all internal areas to, having diameters smaller than a positive number. It can be seen, following simple reasoning, that it is also sufficient that every point of thehas a neighborhood where the conditionbe satisfied. Therefore, we have
theorem ii. Letdefined in domain D. If any point of thehas a neighborhood in which the functionis of the form (1) withcontinuous and monotonous in the narrow sense, thenis of the form (1) in the domainsame (local ownership (1) entails global ownership (1)).
Under the stated conditions of continuity and monotony: conditionconditionWe therefore have
theorem iii. The conditioncontinuity and monotony in the restricted sense of the functionare necessary and sufficient so thateither of the form (1), whereAndare continuous, monotonic functions in all restricted senses (and satisfy the condition).
The interpretation of theorems III and IV is well known in tissue theory [8].
Observations. 1) We can directly demonstrate the implication. Either
and let's define the numbersAndby
Taking into account. On the other hand
The geometric interpretation of the conditionis represented in figure 6. The figure, known as the Thomsen figure, must be completed.
The condition can be replacedand the conditionrespectively by a third:
Condition ;
Indeed, we can see through direct verification that the conditionresults from (1) and that this entails, by settingAndthe condition, and therefore (1). We have
theorem iv. The conditionContinuity and monotony in the restricted sense are necessary and sufficient for the functioneither of the form (1), where the functionsare continuous and monotonic in the restricted sense (and satisfy the condition).
The geometric interpretation of the conditionis 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.
SO2
) The conditionsAndcan be combined and we obtain a fourth equivalent condition
§ 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.
The equation of bisymmetry. - Let's find out what the functions aredefined for, meeting the following conditions:
a)(we say thatis an operation)
b)is continuous
c)is monotonic in the restricted sense
d) it satisfies the equation of bisymmetry:
(3)
For
We will first demonstrate that the functionmeets the conditionin the rectangleLetAndand suppose thatWe have successively
We can observe that in the first and last members the second argument is identical, therefore using condition c) we obtain:.
It follows from Theorem III thatcan be written in the form
Substituting in (3), we obtain
By equating the arguments of the functionon both sides of the equation and by changing the notations
(8)
we obtain
Or
The second member does not contain, done
The value ofGiven that a decision has been made, let's chooseAndsuch as ; SO, And
for all values ​​ofAndcontained within the function's definition domainBy changing the notation, we obtain a functional equation similar to the Cauchy equation, but containing two unknown functions.
(9)
By asking, equation (9) becomes
Forwe obtain
or, using the notation,
that is to say, Cauchy's equation itself; consequently
And
In the same way we obtainFrom
formula (8) we haveAnd. Therefore
(10)
As for the functionwe know that it is continuous, monotonic in the restricted sense and satisfies the conditionThe conditionIn this case, it can be stated as follows: the intervalvalues ​​of the functionsatisfied with the
ConditionIt
can easily be seen that the following forms of the interval () are equivalent to the condition, for values ​​different from.
If, we can assume(because by writing(the constant term will disappear). In cases I. - V. we have assumed.
I.
II.Or
III.
IV.
V. :
VI.any
VII. :any,
VIII.any
IX.Or
In all cases, the reasoning is based on the fact that,.
We have shown that (10) is a consequence of conditions a)-d), whereis continuous, monotonic in the restricted sense, and where the interval () of its values ​​satisfies the condition(or I.-IX). Conversely, the functions (10) withas specified satisfy conditions a)-d), which can be verified directly.
Observation. We obtain the same result if the interval () is closed or half-open. It suffices to consider the open interval () ; from condition c) it follows thatOronly ifAndare the extremities of the interval (), therefore condition a) remains valid for the open interval; conditions b) - d) obviously remain valid. We apply Theorem IV. for the open interval (), we define the functionfor a orby continuity, which is possible ifrespectively. The conditionbecomes more restrictive. For a closed intervalonly cases I, III and VI remain half-open tervalle [) we can add cases II and VIII.
add cases II and VII and for (2.
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
) Symmetry:
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 () can be open, closed or half-open.
Conditions a)-e) are necessary and sufficient for the functioneither in the form
(11)
We can immediately verify that (11) satisfies conditions a)-e).
Now suppose that the functionsatisfies conditions
a)-e). Using the result from point 1, we can write
then condition e) becomes
Forpossible only whenThe
immediate result is:
The functionsatisfies conditions a)-f) if and only if
(12)
Observations. 1) Conditions a)—f) can be replaced by a),),
this
Distributivity in itself:
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
(13)
Because, by askingIt follows that
which leads to equation (10). On the other hand, equation (10) and symmetry lead to equation (13).
3. The equation of associativity. Leta function defined for(can be infinite) enjoying the following properties:
a)(f operation)
b) continuous and monotonic in the restricted sense
c)(f associative).
J. ACZÉL demonstrated [5] that these conditions are necessary and sufficient for thateither in the form
Oris a continuous and monotonic function in the restricted sense in ().
We will now demonstrate this result using our method, that is, by first verifying the condition.
Either
(14)
we can choose the valuesAndsuch as
(15)
whenis sufficiently small, which we can assume by virtue of Theorem II. Using c), (14) and (15) we obtain successively
In the first and last members the first argument is identical, therefore it follows from monotonicity in the restricted sense that
(16)
Using c), (14), (15) and (16), we have
hence
(17)
The conditionis satisfied, therefore
By substituting it in c), by equating the arguments of the functionin both members and by grouping the terms, we obtain
The second member does not contain, SO
Note
(18)
Equation (18) becomes
, by settingconst. on a
doneOr
In a similar way
done
and by a change in notation
(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 function(page 13). In (19)Therefore, it is case II that is valid.
4. The half-symmetry equation. We have given this name to the equation
(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 functionscontinuous and monotonic in the restricted sense within the interval () [12].
Eithera continuous and monotonic operation in the restricted sense in () which satisfies equation (20). We demonstrate that the conditionis verified. That is
(21)
SO
By comparing the first and last terms, we obtainthat is to say, the conditionis verified. It follows from Theorem III that
Substitute in (20)
which implies, that's to sayBy changingby, we obtain
(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 domainvalues ​​of the functionis subject to the restriction that the numbersmust belong to. Ifonly takes positive values, the restriction is ; ifonly takes negative values, then ; ifcan be positive as well as negative, so the restriction is stronger:,5.
Extension for the case whereis not an operation. In this paragraph we have assumed so far that forthat is to say thatis 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 intervalcontains a subintervalsuch as for,Then solutions (10), (19) and (22) respectively are valid in ().
The existence of the interval () is ensured when itaefor which.
§ 3. Determining the scales
Once it has been established that the functioncan be written in the form (1), the problem of determining the functions arisesAndthat is, determining the equations of the respective scales. To do this, we must solve the functional equation (1) whereis a given function andthree unknown functions of a single variable. With the notation, equation (1) can be written as follows
or
(23)
Equation (23) is a generalization of the functional equation to an unknown function, considered by J. AczÉL [4]
,.
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 functioneither continuous, monotonous (in the sense.) and that it meets one of the conditions.
Solving equation (23) is equivalent to solving equation (24), for which J. ACZÉL provided a general method for constructing the solution. Indeed, by setting, Thenand notingwe have
By eliminating from (25) the functionsAndwe obtain an equation of the form (24).
Example. Consider solving the equation with 3 unknown functions:
(26)
We have
Substituting into (26) we obtain
By replacing the unknown functionby, we obtain forCauchy's equation
who accepts the solution. Therefore
On the other hand, the functions (27) satisfy equation (26). The solution to equation (26) is (27), whereare 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 ifis a system of continuous and monotonic solutions, so the functions
similarly form a system of solutions. Let's demonstrate that no
other solutions exist. Letan arbitrary (continuous and monotonic) solution of equation (23). We have
determineAndsuch as
SOOr
This equation is precisely our example (26) with unknown functions, that's to say,from which results,Theorem VI .
Formulas (28) represent all continuous and monotonic solutions of equation (23),being one of these solutions andarbitrary constants.
§ 4. The function
Either again
(29)
a monotonic function in the restricted sense and continuous in a domainEquation (29) can be solved with respect toAnd :
The functionsAndare defined in domainsAndrespectively, and they are continuous and monotonic in the narrow sense. Let
(30)
ForAndwe always choose values ​​such asThen the function (30) is defined in a domaincertainly not empty. Indeed, eitheran interior rectangle, containing the point (), AndAndrespectively the intersections of the linesAndwith the sides of the rectangle (fig. 8). Let's choose the rectanglein the way that the pointsAnd, respectively, are each on the same function level line, and let's note the values ​​ofinAndbyAndrespectively. Socontains the domain, because if we take () and let us note the intersection of the level line x withbyand that of thewithby, then the point of intersection
parallels to the axes,led byAndis located within the groundsis equal to the value of the functioninFormula (30) can be written in the form
(31)
, Or
or (changinginAndin)
(32)
Let us now consider
(1)
(y) ];
then
(33)
which is a symmetric, associative, bisymmetric, and half-symmetric function ofAndThe 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 functioneither of the form (1) withcontinuous and montone functions in the restricted sense:
a) the functionmust be continuous and monotonous in the senseb
) the functionmust be associative.
It must be shown that these conditions are sufficient. Suppose a) and b) and denoteAccording to (32) we have
Therefore, we can apply point 5 of § 2:
whenis in a neighborhood of the pointReferring again to (32),
for a neighborhood of the point (), that is to say any point of thehas a neighborhood in whichis of the form (1). It follows from Theorem II thatis of the form (1) in.
The condition for the associativity of the functionis the conditionherself, written in another form. Indeed, suppose
(34)
and let's put in
(35)
So we have (34) and (32)
and (35) appears in the form
or, taking into account again (32), ; therefore (35) is equivalent to the conditionThus, 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 functioneither of the form (1) with the functionscontinuous and monotonous in the restricted sense:
a)continuous and monotonous in the restricted sense,
b)a symmetric function ofAndForAndany.
Indeed, condition b) is equivalent to the condition, because if
then
And
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 conditionor condition b) of Theorem III' or
represent a generalization of bysimetry and at the same time a special case of equation (5).
The bisymmetry or half-symmetry of the functionsimilarly characterize the class of functions (1). Indeed, assuming the bisymmetry or half-symmetry of the functionwe have
and, taking into account (32),
§ 5. Nomographical Interpretations
Suppose that the functioncan be represented by a nomogram with aligned dots (fig. 9). Let's focus on the scalesAndthe ridge pointsAndrespectively and on the scalethe ridge pointsAndLet's intersect the ladderwith the right, the scalewith The line that connects these two points of intersection intersects the ladder.at a coastal point
The symmetry of the functionThe following property corresponds to the geometric locus, formed by the supports of the three scales: either advbcu a hexagon whose opposite sides intersect at the points ; if eight of these nine points are part of the geometric locus, then thepoint 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 functionThe following property corresponds to the geometric locus : ifAndare two quadrilaterals inscribed insuch as the intersection of pairs of lines,
() And () should also be part of, then the straight linesAndthey also intersect on(fig. 11).
It follows that all cubics, and only they, possess this property.
The bisymmetry of the functionsimilarly 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 functions
We saw in § 4 that the operationapplied to function (1) leads to a more specific function. The question then arises:Given any function, what functions will we obtain through the operation?We have
theorem vii. Leta continuous and montone function in any restricted sense. The necessary and sufficient condition for the existence of a function, continuous and monotonous, such as
(36)
is the existence of a number e with the following properties
(37)
The condition is necessary. Taking into account (32)
Andbeing able to take any values, we have checked (37).
The condition is sufficient. We admit (37), choosesuch as, and beAndtwo continuous and monotonic functions that satisfy the only condition
The function
verifies equation (38) equivalent to (36). Indeed
The necessary and sufficient condition (37) is equivalent to the condition (37')
Indeed, ofresults, taking into account (31),
Supposefixed andvariable; thenis also fixed, thereforealso, that is to say that at aany corresponds to the sameWe can also see that at aany corresponds to the sameOn the other hand, by writing
that is to sayIt follows that
ForAndarbitrary, that is to say precisely (37).
Now suppose that (37) is valid. Then there exists a functionsuch that (36) is valid. (37') results from the following identity
(39)
It remains for us to demonstrate (39). We have seen that
(40)
Using (31) we have
Compared with (40)
and using (32), we obtain
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Received March 17, 1958
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 consideredfixed nodes – which are not within the integration interval – and determined otherknots, 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 employsmultiple 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 considermultiple nodes, fixed – with some restriction – anywhere on the real axis, and we will try to determine othersnodes, 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.