On certain functional equations defining polynomials

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T. Popoviciu, Sur certaines équations fonctionnelles definissant des polynômes, Mathematica, 10 (1935), pp. 194-208 (in French).

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ON CERTAIN FUNCTIONAL EQUATIONS DEFINING POLYNOMIES.

By

Tiberiu Popoviciu
in Cluj.

Received on July 20, 1934.

I.

Functional equations in one variable.

  1. 1.
    • —

      Eitherf​(x)f(x)a function defined in the closed interval (has,ba,b),has<ba<b, and verifying the linear functional equation

∑i=0nhasi​f​(x+i​h)=0\sum_{i=0}^{n}a_{i}f(x+ih)=0 (1)

for everythingxxand for everythingh>0h>0such ashas≤x,x+n​h≤ba ≤ x, x + nh ≤ b, THEhasia_{i}being constants.

To the functional equation (1) we attach the characteristic equation

F​(z)=has0+has1​z+⋯+hasn​zn=0.\mathrm{F}(z)=a_{0}+a_{1}z+\cdots+a_{n}z^{n}=0.

We can assume, without restricting the generality, that the polynomialF​(z)F(z)not be rational with respect to a positive integer power ofzz.

We can assumehas0≠0,hasn≠0a_{0}\neq 0,a_{n}\neq 0These conditions can be expressed by saying that equation (1) is of degree n. It is easy to see, by appropriately adding relations of the form (1), that if a functionf​(x)f(x)verifies a functional equation of degreennit also satisfies an equation of degreen+mn+m, whatever the positive integermm.

We will also say that equation (1) is of orderkkwhen 1 is a root of orderkkof multiplicity of the characteristic equation.

Iff​(x)f(x)verifies an equation of degreennorder numberkkit also verifies an equation of degreen+mn+mand of an order at least equal tokk, whatever the positive integermm2.
- For equation (1) to be of orderkkit is necessary and sufficient that

F​(1)=F′​(1)=…=F(k−1)​(1)=0,F(k)​(1)≠0.F(1)=F^{\prime}(1)=\ldots=F^{(k-1)}(1)=0,\quad F^{(k)}(1)\neq 0.

The functionxmx^{m}is a solution of equation (1) ifm=0.1,…​k−1m=0,1,\ldots k-1, butnnit's not one form≥km\geq ksince

∑i=0nhas1​ik=[(z​dd​z)(k)​F​(z)]z=1=F(k)​(1)≠0\sum_{i=0}^{n}a_{1}i^{k}=\left[\left(z\frac{d}{dz}\right)^{(k)}\mathrm{F}(z)\right]_{z=1}=\mathrm{F}^{(k)}(1)\neq 0

Therefore,
the functional equation (1) is satisfied by any polynomial of degree k-1, but not by a polynomial whose effective degree exceedsk−1k-1.

3 - Let's consider the polynomialGp​(z)G_{p}(z)which is obtained by the formula

Gp​(zp)=F​(z)⋅F​(α​z)​…​F​(αp−1​z)\mathrm{G}_{p}\left(z^{p}\right)=\mathrm{F}(z)\cdot\mathrm{F}(\alpha z)\ldots\mathrm{F}\left(\alpha^{p-1}z\right)

Orα\alphais a primitive root of orderppof unity.
Suppose that the polynomialF​(z)F(z)verifies identity

G2​(z)≡has0⋅F​(z), Or F​(z)⋅F​(−z)≡has0⋅F​(z2).\mathrm{G}_{2}(z)\equiv a_{0}\cdot\mathrm{\penalty 10000\ F}(z),\quad\text{ ou }\quad\mathrm{F}(z)\cdot\mathrm{F}(-z)\equiv a_{0}\cdot\mathrm{\penalty 10000\ F}\left(z^{2}\right). (2)

We then haveF​(z)=has0​(1−z)k​∏i=1n−k(1−ρ1​z)F(z)=a_{0}(1-z)^{k}\prod_{i=1}^{n-k}\left(1-\rho_{1}z\right), Orρi\rho_{i}are roots, different from 1, of unity. Ifp1p_{1}is root of orderppFrom the unit, one can immediately see thatGρ​(z)\mathrm{G}_{\rho}(z)cannot be identical tohas0p−1.F​(z)a_{0}^{p-1}.\mathrm{F}(z).

It follows that a number can always be determinedppso that we have
(3)
G.(z)≡≡has0p−1.F(z)\mathrm{G}.(z)\equiv\equiv a_{0}^{p-1}.\mathrm{F}(z)
except in the case whereF​(z)=has0​(1−z)n\mathrm{F}(z)=a_{0}(1-z)^{n}
The general form of polynomials F​(z)\mathrm{F}(z)satisfying (2), or the more general relationGp​(z)=has0p−1.F​(z)\mathrm{G}_{p}(z)=a_{0}^{p-1}.\mathrm{F}(z), can be obtained easily, but we don't need it later.
4. - Let's return to equation (1) and assume that the orderkkbe less than n. The functionf​(x)f(x)also check the functional equation whose characteristic equation isGp​(z)=0\mathrm{G}_{p}(z)=0the numberppbeing determined
such that we have relation (3). The function also satisfies the functional equation whose characteristic equation isGp​(z)+λ​F​(z)=0\mathrm{G}_{p}(z)+\lambda\mathrm{F}(z)=0,λ\lambdabeing a constant.

We can determine the constantλ​[Gρ(k)​(1)+λ​F(k)​(1)=0]\lambda\left[G_{\rho}^{(k)}(1)+\lambda F^{(k)}(1)=0\right]in such a way that this last functional equation is of order at least equal tok+1k+1We therefore deduce that

If the functionf​(x)f(x)verifies equation (11), of degreennand orderkk : it also satisfies an equation of degreennof at least equal order.has`​k+1\grave{a}k+1.

The property relating to degree follows from the remark made at the end of No. 1.5.
- It follows that if the functionf​(x)f(x)verifies equation (1); it also verifies a functional equation of ordernnand degreenn.

An equation (1) of degree and ordernnis of the form

∑i=0n(−1)i​(ni)​f​(x+i​h)=0\sum_{i=0}^{n}(-1)^{i}\binom{n}{i}f(x+ih)=0

and we know that, iff​(x)f(x)is assumed to be continuous, the general solution of this equation is an arbitrary polynomial of degreen−1​(1)n-1(1).

We therefore deduce the following final property:
The general continuous solution of equation (1) of order k is an arbitrary polynomial of degreek−1k-1.

II.

Functional equations of two variables.

  1. 6.
    • —

      Now consider a functionf​(x,y)f(x,y)of two variablesxxAndyy, defined in the rectanglehas≤x≤b,c≤y≤da\leq x\leq b,c\leq y\leq dand verifying the linear functional equation

∑i=0n∑I=0mhasi,I​f​(x+i​h,y+i​h′)=0\sum_{i=0}^{n}\sum_{j=0}^{m}a_{i,j}f\left(x+ih,y+ih^{\prime}\right)=0 (4)

for everythingx,yx,yand for everythingh>0,h′>0h>0,h^{\prime}>0such ashas≤x,x+n​h≤b ; a\leq x,x+nh\leq b_{\text{\penalty 10000\thinspace; }}.c≤y,y+m​h′≤dc\leq y,y+mh^{\prime}\leq d, THEhasi,I,a_{i,j,}being constants.
(1) We can subject the function to more general conditions than: continuity. See in my Thesis (Mathematica t. VIII sp. p. 57.) the generalization of a theorem of MW Sierrinski.

To this equation we attach the characteristic equation

F​(z,t)=∑i=0n∑I=0mhasi,I​zi​t′=∑I=0mt′​fI​(z)=0FI​(z)=∑=0nhasi,I​zi\begin{gathered}\mathrm{F}(z,t)=\sum_{i=0}^{n}\sum_{j=0}^{m}a_{i,j}z^{i}t^{\prime}=\sum_{j=0}^{m}t^{\prime}f_{j}(z)=0\\ \mathrm{\penalty 10000\ F}_{j}(z)=\sum_{=0}^{n}a_{i,j}z^{i}\end{gathered}

Let us first define the degree and order of the functional equation (4). We say that equation (4) is of degree(n,m)(n,m)if we have

∑i=0n|hasi​,0|≠0,∑i=0n|hasi,m|≠0,∑I=0m|has0,I|≠0,∑I=0m|hasn,I|≠0.\sum_{i=0}^{n}\left|a_{i,0}\right|\neq 0,\sum_{i=0}^{n}\left|a_{i,m}\right|\neq 0,\sum_{j=0}^{m}\left|a_{0,j}\right|\neq 0,\sum_{j=0}^{m}\left|a_{n,j}\right|\neq 0.

We will say that equation (4) is of order (k,k′k,k^{\prime}) if the equationliF​(z,t)=0\mathrm{li}\mathrm{F}(z,t)=0admits the rootz=1z=1of orderkkof multiplicity, identically inttand the roott=1t=1of orderk′k^{\prime}of multiplicity, identically inzz. The numbert​ktkis therefore such that we have

F​(1,t)=Fz′​(1,t)=…​…=Fz(k−1)​(1,t)=0F(1,t)=F_{z}^{\prime}(1,t)=\ldots\ldots=F_{z}^{(k-1)}(1,t)=0

identically inttAnd

Fzk(k)​(1,t)≠0\mathrm{F}_{z^{k}}^{(k)}(1,t)\neq 0

for at least one value ofttIn other wordskkis the number of times the polynomialsFf​(z)F_{f}(z)they all have in common the factor (1−z1-z).

Iff​(x,y)f(x,y)verifies equation (4) of degree (n,mn,m) and order (k,k′k,k^{\prime}) it also satisfies an equation of degree(n+n1,m+m1)\left(n+n_{1},m+m_{1}\right)and of at least equal order(k,k′)()2\left(k,k^{\prime}\right)\left({}^{2}\right), regardless of whether the integers are positive or zeron1n_{1}Andm1m_{1}7.
- If the functionf​(x,y)f(x,y)checks equation (4) of order (k,k′k,k^{\prime}) it also satisfies the functional equation whose characteristic equation isGp​(z,t)=0\mathrm{G}_{p}(z,t)=0Or

Gp​(zp,t)=F​(z,t)⋅F​(α​z,t)​…​F​(αp−1​z,t)\mathrm{G}_{p}\left(z^{p},t\right)=\mathrm{F}(z,t)\cdot\mathrm{F}(\alpha z,t)\ldots\mathrm{F}\left(\alpha^{p-1}z,t\right)

"α\alphabeing still a primitive root of orderppof the unit.
The function will also satisfy the functional equation whose characteristic equation isGp​(z,t)+H​(t)​F​(z,t)=0,H​(t)\mathrm{G}_{p}(z,t)+\mathrm{H}(t)\mathrm{F}(z,t)=0,\mathrm{H}(t)being a polynomial intt.

We can choose the numberppso that

Gp​(z,t)≡(∑I=1mhas0,I​tI)p−1​F​(z,t)\mathrm{G}_{p}(z,t)\equiv\left(\sum_{j=1}^{m}a_{0,j}t^{j}\right)^{p-1}\mathrm{\penalty 10000\ F}(z,t)

(2) The order (k1,k1′k_{1},k_{1}^{\prime}) is at least equal to the order (k,k′k,k^{\prime}) ifk1≥k,k1≥k′k_{1}\geq k,k_{1}\geq k^{\prime}and then
we can determine the polynomialH​(t)\mathrm{H}(t)such that the new functional equation obtained is of order at least equal to (k+1,k′k+1,k^{\prime}a. The degree of this equation is of the form(n′,m′)\left(n^{\prime},m^{\prime}\right)Orn′≤nn^{\prime}\leq n.

We therefore deduce the following property:
If the functionf​(x,y)f(x,y)verifies equation (4) of degree (n,m˙n,\dot{m}) and: of order (k,k′k,k^{\prime}) it also satisfies an equation of degree (n,m′n,m^{\prime}) and: of order at least equal to (k+1,k′k+1,k^{\prime}8.
- We deduce thatf​(x,y)f(x,y)verifies an equation of degree (n,m′n,m^{\prime}) and of order at least equal to (n,k′n,k^{\prime}).

Gρ​(z,t)=(1−z)n⋅Q​(t)⋅Q​(α​t)​…​Q​(αp=1​t);\mathrm{G}_{\rho}(z,t)=(1-z)^{n}\cdot Q(t)\cdot Q(\alpha t)\ldots Q\left(\alpha^{p=1}t\right);

We arrive at the property:
If the functionf​(x,y)f(x,y)verifies equation (4) of degree (n,mn,m) it: also satisfies an equation of degree (n,m′n,m^{\prime}) and order (n,m′n,m^{\prime}).

We show in exactly the same way thatf​(x,y)f(x,y)check. an equation of degree (nn',mm) and order (nn',mm).

We don't need to specify the numbers:n′n^{\prime}Andm′m^{\prime}9.
- An equation (4) of degree(n,m)(n,m)and order(n,m)(n,m)is of: the form

∑i=0n∑I=0m(−1)i+1​(ni)​(mI)​f​(x+i​h,y+I​k′)=0\sum_{i=0}^{n}\sum_{j=0}^{m}(-1)^{i+1}\binom{n}{i}\binom{m}{j}f\left(x+ih,y+jk^{\prime}\right)=0

and we know that the general continuous solution of this equation is a pseudo-polynomial of order (n−1,m−1n-1,m-1), that is to say a function of the form

∑i=0n−1xiHASi(y)+∑I=0m−1yiBI(x)()3\sum_{i=0}^{n-1}x^{i}\mathrm{\penalty 10000\ A}_{i}(y)+\sum_{j=0}^{m-1}y^{i}\mathrm{\penalty 10000\ B}_{j}(x)\left({}^{3}\right)

THEHASi​(y)A_{i}(y)being continuous functions ofy∈ty\in tTHEBi​(x)B_{i}(x)continuous functions ofxxalone.

It follows that the general continuum solution of the functional equation (4) is a pseudo-polynomial.
(3) See: A. Marchaud, "On the derivatives and differences of functions of real variables." See also my thesis (Mathematica, vol. VIII), p. 65.
10. - So thatxr​ysx^{r}y^{s}to be a solution of equation (4), it is necessary that

[∂β+γ​F​(z,t)∂zβ​∂tγ]z=t=1=0,β≤r,γ≤s.\left[\frac{\partial^{\beta+\gamma\mathrm{F}(z,t)}}{\partial z^{\beta}\partial t^{\gamma}}\right]_{z=t=1}=0,\quad\beta\leq r,\quad\gamma\leq s.

If (k,k′k,k^{\prime}) is the order of the equation; we can immediately see that:xk​ymx^{k}y^{m}Andxn​ykx^{n}y^{k}cannot be solutions.

If we are looking for the condition for whichxr​HAS​(y)x^{r}\mathrm{\penalty 10000\ A}(y)one solution is found to be the functionΛ​(y)\Lambda(y)must check the equations

∑I=0m[(z​dd​z)(β)​FI​(z)]z=1​HAS​(y+I​h′)=0β=0,1,2,…,r\begin{gathered}\sum_{j=0}^{m}\left[\left(z\frac{d}{dz}\right)^{(\beta)}\mathrm{F}_{j}(z)\right]_{z=1}\mathrm{\penalty 10000\ A}\left(y+jh^{\prime}\right)=0\\ \beta=0,1,2,\ldots,r\end{gathered}

Ifr≥k​HAS​(y)r\geq k\mathrm{\penalty 10000\ A}(y)is necessarily a polynomial of degree at most equal tom−1m-1(or it is identically zero) and ifr≥n​HAS​(y)r\geq n\mathrm{\penalty 10000\ A}(y)is a polynomial of degree at most equal tok′−1k^{\prime}-1. Whenr=0,1,2,…​k−1r=0,1,2,\ldots k-1the functionHAS​(y)\mathrm{A}(y)can be arbitrary. Solutions of the formys​B​(x)y^{s}\mathrm{\penalty 10000\ B}(x)enjoy similar properties. Therefore,

The general continuous solution of the functional equation(4) of order (k,k′k,k^{\prime}) is the sum of a pseudo-polynomial of order (k−1,k′−1k-1,k^{\prime}-1) and a certain polynomial of degree at most equal to (n−1,m−1n-1,m-1) ( 4 ).

It easily follows from the above that the necessary and sufficient condition for equation (4) to admit only polynomials as continuous solutions is that this equation be of order (0,0).
11. - Let us determine in particular the equations of degree(n,m)(n,m)whose continuous general solution is an arbitrary polynomial of degree(n−1,m−1)(n-1,m-1).

It is immediately apparent that these equations have the characteristic equation

F​(z,t)=(1−t)m​F​(z)+(1−z)n​G​(t)=0\mathrm{F}(z,t)=(1-t)^{m}\mathrm{\penalty 10000\ F}(z)+(1-z)^{n}\mathrm{G}(t)=0

OrF​(z)F(z)is a polynomial of degreenninzzAndG​(t)G(t)a polynomial of degreemminttThese two polynomials must satisfy the inequalitiesF(i)​(1)≠0,i=0,1,2,…,n−1,G(I)​(1)≠0,I=0,1,2,…,m−1​(−1)m​m!​F(n)​(1)+(−1)n​n!​G(m)​(1)≠0\mathrm{F}^{(i)}(1)\neq 0,\quad i=0,1,2,\ldots,n-1,\mathrm{G}^{(j)}(1)\neq 0,j=0,1,2,\ldots,m-1(-1)^{m}m!\mathrm{F}^{(n)}(1)+(-1)^{n}n!\mathrm{G}^{(m)}(1)\neq 0
( 4 ) We say that a polynomial is of degree (n,mn,m) if it is of degreenninxxand degreemminyyA polynomial has a degree at most equal to (n,mn,m) if it is of degree≤n\leq ninxxand degree≤m\leq minyy.

InequalitiesF​(1)≠0,G​(1)≠0\mathrm{F}(1)\neq 0,\mathrm{G}(1)\neq 0express precisely that the equation is of order (0,0).

The simplest of these equations is the one with the characteristic equation

F​(z,t)=12​{(1−t)m​(1+z)n+(1−z)n​(1+t)m}=0F(z,t)=\frac{1}{2}\left\{(1-t)^{m}(1+z)^{n}+(1-z)^{n}(1+t)^{m}\right\}=0

It therefore follows that the general continuous solution of the functional egation

12​∑i=0n∑I=0m{(−1)i+(−1)I}​(ni)​(mI)​f​(x+i​h,y+I​h′)=0\frac{1}{2}\sum_{i=0}^{n}\sum_{j=0}^{m}\left\{(-1)^{i}+(-1)^{j}\right\}\binom{n}{i}\binom{m}{j}f\left(x+ih,y+jh^{\prime}\right)=0

is any polynomial of degree (n−1,m−1n-1,m-1In particular ,
the general solution of the equation

f​(x,y)+f​(x+2​h,y)−f​(x,y+2​h′)+f​(x+2​h,y+2​h′)=4​f′​(x+h,y+h′)f(x,y)+f(x+2h,y)-f\left(x,y+2h^{\prime}\right)+f\left(x+2h,y+2h^{\prime}\right)=4f^{\prime}\left(x+h,y+h^{\prime}\right)
has+b​x+c​y+d​x​ya+bx+cy+dxy

has,b,c,da,b,c,dbeing constants.
We also see that the general continuous solution of the equation

∑i=0⌊nL](n2​i)f(x+2ih,y)=∑I=0[n−12](m2​I+1)f[x+(2I+1)h,y+h′]\left.\sum_{i=0}^{\left\lfloor\frac{n}{L}\right.}\right]\binom{n}{2i}f(x+2ih,y)=\sum_{j=0}^{\left[\frac{n-1}{2}\right]}\binom{m}{2j+1}f\left[x+(2j+1)h,y+h^{\prime}\right]

is an arbitrary polynomial of degreen−1n-1compared toxxalone. This result can also be obtained very simply in a direct way.

11 bis. - We can generally find equations (4) whose continuous solution is a function ofxxalone. We can see that such an equation must be of order(1.0)(1,0)at most and not admit solutions of the formxr​yx^{r}y12.
Let us further seek the equations (4) whose general solution is a polynomial of degreen−1n-1inxxAndyyIt is only worthwhile to look for symmetric equations, that is, equations whose characteristic equation exhibits a certain symmetry with respect tozzAndttIt is easily verified that the smallest admissible degree is (n,nn,n). The
characteristic equation is then of the form

F​(z,t)=∑i=0n(1−t)i​(1−z)n−i​Qi​(z)=0F(z,t)=\sum_{i=0}^{n}(1-t)^{i}(1-z)^{n-i}Q_{i}(z)=0

OrQi​(z)Q_{i}(z)is a polynomial of degreeiiinzzThese polynomials must satisfy the inequalities

Qi​(1)≠0,i=0,1,2,…​nQ_{i}(1)\neq 0,\quad i=0,1,2,\ldots n

and the symmetry conditions.Qn​(1)≠0Q_{n}(1)\neq 0expresses precisely that equation (4) is of order (0,0).

By specializing, we obtain various equations of the form (4) whose general continuous solution is an arbitrary polynomial of degree n-1. Thus, for example

∑i=0n(−1)i​(ni)​f​[x+i​h,y+(n−i)​h′]=0∑i=0n(−1)i​2n−i​(ni)​{∑I=0i(Ii)​f​[x+i​h,y+(i−I)​h′]}=0∑i=0n∑I=0n−i(−1)i+I​{∑r=0n−i−I(n−I−ri)​(I+rI)}​f​(x+i​h,y+I​h′)=0\begin{gathered}\sum_{i=0}^{n}(-1)^{i}\binom{n}{i}f\left[x+ih,y+(n-i)h^{\prime}\right]=0\\ \sum_{i=0}^{n}(-1)^{i}2^{n-i}\binom{n}{i}\left\{\sum_{j=0}^{i}\binom{j}{i}f\left[x+ih,y+(i-j)h^{\prime}\right]\right\}=0\\ \sum_{i=0}^{n}\sum_{j=0}^{n-i}(-1)^{i+j}\left\{\sum_{r=0}^{n-i-j}\binom{n-j-r}{i}\binom{j+r}{j}\right\}f\left(x+ih,y+jh^{\prime}\right)=0\end{gathered}

which correspond to the cases

F​(z,t)=(t−z)n\displaystyle\mathrm{F}(z,t)=(t-z)^{n}
F​(z,t)=[2−(t+z)]n\displaystyle\mathrm{\penalty 10000\ F}(z,t)=[2-(t+z)]^{n}
F​(z,t)=∑ı=0n(1−t)i​(1−z)n−i\displaystyle\mathrm{\penalty 10000\ F}(z,t)=\sum_{\imath=0}^{n}(1-t)^{i}(1-z)^{n-i}

Forn=2n=2we find that the general continuous solution of the equations

f​(x,y+2​h′)+f​(x+2​h,y)=2​f​(x+h,y+h′)\displaystyle f\left(x,y+2h^{\prime}\right)+f(x+2h,y)=2f\left(x+h,y+h^{\prime}\right)
f​(x,y+2​h′)+2​f​(x+h,y+h′)+f​(x+2​h,y)==4​[f​(x+h,y)+f​(x,y+h′)−f​(x,y)]\displaystyle\begin{aligned} f\left(x,y+2h^{\prime}\right)+2f\left(x+h,y+h^{\prime}\right)+f(x+2h,y)=\\ =4\left[f(x+h,y)+f\left(x,y+h^{\prime}\right)-f(x,y)\right]\end{aligned}
f(x,z+2h′)+f(x+h,y+h′)+f(x+2h,y)==3​[f​(x+h,y)+f​(x,y+h′)−f​(x,y)]\displaystyle\begin{aligned} f\left(x,z+2h^{\prime}\right)+f(x+h,y&\left.+h^{\prime}\right)+f(x+2h,y)=\\ &=3\left[f(x+h,y)+f\left(x,y+h^{\prime}\right)-f(x,y)\right]\end{aligned}

osthas+b​x+c​ya+bx+cyOrhas,b,ca,b,care constants.
Among all these equations, it appears that the simplest one
corresponds to the caseF​(z,t)=∑i=0n(−1)i​(1−t)i​(1−z)n−iF(z,t)=\sum_{i=0}^{n}(-1)^{i}(1-t)^{i}(1-z)^{n-i}. Forn==2.3n==2,3This gives us the equations

f​(x,y+2​h′)+f​(x,y)+f​(x+2​h,y)=\displaystyle f\left(x,y+2h^{\prime}\right)+f(x,y)+f(x+2h,y)=
=f​(x+h,y)+f​(x+h,y+h′)+f​(x,y+h′)\displaystyle\quad=f(x+h,y)+f\left(x+h,y+h^{\prime}\right)+f\left(x,y+h^{\prime}\right)
2​f​(x+h,y)+f​(x+3​h,y)+2​f​(x,y+2​h′)+f​(x+h,y+2​h′)=\displaystyle\quad 2f(x+h,y)+f(x+3h,y)+2f\left(x,y+2h^{\prime}\right)+f\left(x+h,y+2h^{\prime}\right)=
=2​f​(x,y+h′)+f​(x,y+3​h′)+2​f​(x+2​h,y)+f​(x+2​h,y+h′)​…\displaystyle\quad=2f\left(x,y+h^{\prime}\right)+f\left(x,y+3h^{\prime}\right)+2f(x+2h,y)+f\left(x+2h,y+h^{\prime}\right)\ldots

III.

Sar is a problem of MD Pompeii.

  1. 13.
    • —

      MD Pompéru set out to find the continuous functionsf​(x)f(x)defined in (has,ba,b) and verifying equality ( 5 ).

1y−x​∫xyf​(t)​dt=f​(x+y2)\frac{1}{y-x}\int_{x}^{y}f(t)dt=f\left(\frac{x+y}{2}\right)

for everythingxx, Andyyincluded in(has,b)(a,b)The solution is a first-degree polynomial.

We propose to generalize this problem.
Consider an increasing sequence of given numbers.λ0,λ1,…\lambda_{0},\lambda_{1},\ldotshasλn\lambda_{n}between 0 and 1 and let's form the Lagrange polynomial

P​(t)=∑i=0n(t−t0)​(t−t1)​….(t−ti−1)​(t−ti+1)​….(t−tn)(ti−t0)​(t1−t1)​…​(ti−ti−1)​(ti−ti+1)​…​(ti−tn)​f​(ti)\mathrm{P}(t)=\sum_{i=0}^{n}\frac{\left(t-t_{0}\right)\left(t-t_{1}\right)\ldots.\left(t-t_{i-1}\right)\left(t-t_{i+1}\right)\ldots.\left(t-t_{n}\right)}{\left(t_{i}-t_{0}\right)\left(t_{1}-t_{1}\right)\ldots\left(t_{i}-t_{i-1}\right)\left(t_{i}-t_{i+1}\right)\ldots\left(t_{i}-t_{n}\right)}f\left(t_{i}\right)

by takingti=x+λi​(y−x)t_{i}=x+\lambda_{i}(y-x)
Let's write the equality between the average values .

1y−x​∫xyf​(t)​dt=1y−x​∫xyP​(t)​dt\frac{1}{y-x}\int_{x}^{y}f(t)dt=\frac{1}{y-x}\int_{x}^{y}\mathrm{P}(t)dt

or, after a simple transformation,

1y−x​∫xyf​(t)​dt=∑i=0nμi​f​[x+λi​(y−x)]\frac{1}{y-x}\int_{x}^{y}f(t)dt=\sum_{i=0}^{n}\mu_{i}f\left[x+\lambda_{i}(y-x)\right] (5)

(5) D. Pompeto: “On a functional equation that is introduced into a mean problem” GR t. 190 p. 1107.
where

μi=∫01(t−λ0)​(t−λ1)​…​(t−λi−1)​(t−λi+1)​…​(t−λn)(λi−λ0)​(λI−λ1)​…​(λi−λi−1)​(λI−λI+1)​…​(λI−λn)​dti=0,1,2,…,n\begin{gathered}\mu_{i}=\int_{0}^{1}\frac{\left(t-\lambda_{0}\right)\left(t-\lambda_{1}\right)\ldots\left(t-\lambda_{i-1}\right)\left(t-\lambda_{i+1}\right)\ldots\left(t-\lambda_{n}\right)}{\left(\lambda_{i}-\lambda_{0}\right)\left(\lambda_{I}-\lambda_{1}\right)\ldots\left(\lambda_{i}-\lambda_{i-1}\right)\left(\lambda_{I}-\lambda_{I+1}\right)\ldots\left(\lambda_{I}-\lambda_{n}\right)}dt\\ i=0,1,2,\ldots,n\end{gathered}

Let us now consider the functional equation (5). By construction, this equation is satisfied by a polynomial of degreenn.

We will now assume that the numbersλ0,λ1,…,λ\lambda_{0},\lambda_{1},\ldots,\lambdadivide the interval rationally(0.1)(0,1).

We can immediately see that the functionf​(x)f(x)must verify the functional equation
∑i=0nμi​{f​(x+λi​y−x2)−2​f​[x+λi​(y−x)]+f​[x+y2+λi​y−x2]}=0has.\sum_{i=0}^{n}\mu_{i}\left\{f\left(x+\lambda_{i}\frac{y-x}{2}\right)-2f\left[x+\lambda_{i}(y-x)\right]+f\left[\frac{x+y}{2}+\lambda_{i}\frac{y-x}{2}\right]\right\}=0_{\mathrm{a}}.We
deduce that the general continuous solution of equation (5) is a polynomial.
14. - The solution of equation (5) is in general a polynomial of degreenn, but it can happen that it is a polynomial of higher degree. For example ifn=0n=0we can determine the constantλ0\lambda_{0}...so that the solution is a polynomial of degree one. This leads to the equation of MD Pomperu. Ifn=1n=1Equation (5) may have a polynomial of degree 2 as a solution, but then either it is not in symmetric form or, even if symmetry is respected, the constantsλ0,λ1\lambda_{0},\lambda_{1}are not rational. On the contraryn=2n=2we have the very simple equation

1y−x​∫xyf​(t)​dt=16​{f​(x)+4​f​(x+y2)+f​(y)}\frac{1}{y-x}\int_{x}^{y}f(t)dt=\frac{1}{6}\left\{f(x)+4f\left(\frac{x+y}{2}\right)+f(y)\right\}

which has as its solution an arbitrary polynomial of degree 3.
In general, in the caseλL=in,i=0,1,2,…,n\lambda_{l}=\frac{i}{n},i=0,1,2,\ldots,nequation (5) has as a continuous solution a polynomial of degreennifnnis odd and a polynomial of degreen+1n+1ifnnis even.

Using the formulas that give the coefficientsμi\mu_{i}We can easily find the conditions for equation (5) to have as its general continuous solution a polynomial of degreen+sn+s. If we pose

R​(t)=(t−λ0)​(t−λ1)​…​(t−λn)R(t)=\left(t-\lambda_{0}\right)\left(t-\lambda_{1}\right)\ldots\left(t-\lambda_{n}\right)

These conditions are written

∫01\displaystyle\int_{0}^{1} =0,\displaystyle=0, I=0.1,…,s−1\displaystyle j=1,\ldots,s-1
t′​R​(t)​d​t\displaystyle t^{\prime}\mathrm{R}(t)dt ≠0,\displaystyle\neq 0, I=s\displaystyle j=s
  1. 15.
    • —

      The equation of MD Pompeii admits the following generalization

1(x2−x1)​(y2−y1)​∫x1x2∫y1y2f​(t,u)​dt​du=f​[x1+x22,y1+y22]\frac{1}{\left(x_{2}-x_{1}\right)\left(y_{2}-y_{1}\right)}\int_{x_{1}}^{x_{2}}\int_{y_{1}}^{y_{2}}f(t,u)dtdu=f\left[\frac{x_{1}+x_{2}}{2},\frac{y_{1}+y_{2}}{2}\right] (6)

for a functionf​(x,y)f(x,y)of two variablesxxAndyy. defined and continuous within the rectanglehas≤x≤b,c≤y≤da\leq x\leq b,c\leq y\leq dWe immediately verify thatf​(x,y)f(x,y)satisfies the functional equation

f​(x1,y1)+f​(x1,y2)+(x2,y1)+f​(x2,y2)=4​f​[x1+x22,y1+y22]f\left(x_{1},y_{1}\right)+f\left(x_{1},y_{2}\right)+\left(x_{2},y_{1}\right)+f\left(x_{2},y_{2}\right)=4f\left[\frac{x_{1}+x_{2}}{2},\frac{y_{1}+y_{2}}{2}\right]

From what we have demonstrated in Nr. 11 it follows that the general solution of equation (6) is a polynomial of degree (1,1).

Let us consider the interpolation polynomial

P​(t,u)=∑i=0n∑I=0mHAS​(t)​B​(u)HAS′​(ti)​B′​(uI)​(t−ti)​(u−uI)​f​(ti,uI)\mathrm{P}(t,u)=\sum_{i=0}^{n}\sum_{j=0}^{m}\frac{\mathrm{\penalty 10000\ A}(t)\mathrm{B}(u)}{\mathrm{A}^{\prime}\left(t_{i}\right)\mathrm{B}^{\prime}\left(u_{j}\right)\left(t-t_{i}\right)\left(u-u_{j}\right)}f\left(t_{i},u_{j}\right)

Or

HAS​(t)=∏i=0n(t−ti),B​(u)=∏I=0m(u−uI)ti=−x1+λi​(x2−x1),uI=y1+λI′​(y2−y1)\begin{gathered}\mathrm{A}(t)=\prod_{i=0}^{n}\left(t-t_{i}\right),\quad\mathrm{B}(u)=\prod_{j=0}^{m}\left(u-u_{j}\right)\\ t_{i}=-x_{1}+\lambda_{i}\left(x_{2}-x_{1}\right),\quad u_{j}=y_{1}+\lambda_{j}^{\prime}\left(y_{2}-y_{1}\right)\end{gathered}

λ0,λ1,…,λn;μ1,μ2,…,μm\lambda_{0},\lambda_{1},\ldots,\lambda_{n};\mu_{1},\mu_{2},\ldots,\mu_{m}being two increasing sequences of numbers between 0 and 1.

Equality between average values
1(x2−x1)​(y2−y1)​∫x1x2∫yty2f​(t,u)​dt​du=1(x2−x1)​(y2−y1)​∫x1x2∫y1y2P​(t,u)​dt​du\frac{1}{\left(x_{2}-x_{1}\right)\left(y_{2}-y_{1}\right)}\int_{x_{1}}^{x_{2}}\int_{y_{t}}^{y_{2}}f(t,u)dtdu=\frac{1}{\left(x_{2}-x_{1}\right)\left(y_{2}-y_{1}\right)}\int_{x_{1}}^{x_{2}}\int_{y_{1}}^{y_{2}}\mathrm{P}(t,u)dtdu
gives us the functional equation
(7)1(x2−x1)​(y2−y1)​∫x1x2∫y1y2f​(t,u)​dt​du=\frac{1}{\left(x_{2}-x_{1}\right)\left(y_{2}-y_{1}\right)}\int_{x_{1}}^{x_{2}}\int_{y_{1}}^{y_{2}}f(t,u)dtdu=

=∑i=0n∑I=0mμi,I​f​[x1+λi​(x2−x1),y1+λI′​(y2−y1)]=\sum_{i=0}^{n}\sum_{j=0}^{m}\mu_{i,j}f\left[x_{1}+\lambda_{i}\left(x_{2}-x_{1}\right),y_{1}+\lambda_{j}^{\prime}\left(y_{2}-y_{1}\right)\right]

Or

μLI​I=∫01R​(t)R′​(λL)​(t−λL)​dt×∫01S​(u)S′​(λI′)​(u−λI′)​dui=0.1,…,n,I=0.1,…,mR​(t)=∏i=0n(t−λL),S​(u)=∏I=0m(u−λI′)\begin{gathered}\mu_{l_{j}j}=\int_{0}^{1}\frac{\mathrm{R}(t)}{\mathrm{R}^{\prime}\left(\lambda_{l}\right)\left(t-\lambda_{l}\right)}dt\times\int_{0}^{1}\frac{\mathrm{\penalty 10000\ S}(u)}{\mathrm{S}^{\prime}\left(\lambda_{j}^{\prime}\right)\left(u-\lambda_{j}^{\prime}\right)}du\\ i=0,1,\ldots,n,\quad j=0,1,\ldots,m\\ \mathrm{R}(t)=\prod_{i=0}^{n}\left(t-\lambda_{l}\right),\quad\mathrm{S}(u)=\prod_{j=0}^{m}\left(u-\lambda_{j}^{\prime}\right)\end{gathered}

Equation (7) is satisfied by a polynomial of degree(n,m)(n,m)We are still assuming that the numbersλi,λI′\lambda_{i},\lambda_{j}^{\prime}are rational. The functionf​(x,y)f(x,y)must satisfy the functional equation

∑i=0n∑I=0mμi,I{f{x1+λix2−x12,y1+λI′y2−y12}+\displaystyle\sum_{i=0}^{n}\sum_{j=0}^{m}\mu_{i,j}\left\{f\left\{x_{1}+\lambda_{i}\frac{x_{2}-x_{1}}{2},y_{1}+\lambda_{j}^{\prime}\frac{y_{2}-y_{1}}{2}\right\}+\right.
+f[x1+x22+λ1x2−x22,y1+λI′y2−y12|+\displaystyle\quad+f\left[\frac{x_{1}+x_{2}}{2}+\lambda_{1}\frac{x_{2}-x_{2}}{2},\left.y_{1}+\lambda_{j}^{\prime}\frac{y_{2}-y_{1}}{2}\right\rvert\,+\right.
+f​[x1+λi​x2−x12,y1+y22+λI′​y2−y12]+\displaystyle+f\left[x_{1}+\lambda_{i}\frac{x_{2}-x_{1}}{2},\frac{y_{1}+y_{2}}{2}+\lambda_{j}^{\prime}\frac{y_{2}-y_{1}}{2}\right]+
+f|x1+x22+λix2−x12,y1+y22+λi′y2−y12|−\displaystyle\quad+f\left|\frac{x_{1}+x_{2}}{2}+\lambda_{i}\frac{x_{2}-x_{1}}{2},\frac{y_{1}+y_{2}}{2}+\lambda_{i}^{\prime}\frac{y_{2}-y_{1}}{2}\right|-
−4​f​[x1+λi​(x2−x1),y1+λI′​(y2−y1)]=0\displaystyle\quad-4f\left[x_{1}+\lambda_{i}\left(x_{2}-x_{1}\right),y_{1}+\lambda_{j}^{\prime}\left(y_{2}-y_{1}\right)\right]=0

This equation is of the form (4). It is of order (0,0). In general, this last property results from the fact that all quantities .

∑i=0nμi,I,I=0.1,…,m\sum_{i=0}^{n}\mu_{i,j},\quad j=0,1,\ldots,m

and all quantities

∑I=0mμi,I,i=0.2,…,n\sum_{j=0}^{m}\mu_{i,j},\quad i=0,2,\ldots,n

they may be zero. It can happen that, for certain particular distributions of numbersλi,λf′\lambda_{i},\lambda_{f}^{\prime}The condition is expressed in another way. It can be shown that in all cases these conditions amount to the previous ones ( 6 ).

We can therefore say that the general continuous solution of equation (7) is a polynomial.
16. - The solution of equation (7) is in general of degree (n,mn,m) but it can be of a higher degree. Such is, for example, equation (6). In general, for the solution to be of degree (n+s,m+s′n+s,m+s^{\prime}) it is necessary and sufficient that.

∫01thas​R​(t)​dt\displaystyle\int_{0}^{1}t^{a}\mathrm{R}(t)dt =0,\displaystyle=0, α=0.1,…,s−1\displaystyle\alpha=1,\ldots,s-1
≠0,\displaystyle\neq 0, α=s\displaystyle\alpha=s
=0,\displaystyle=0, α=0.1,…,s′−1\displaystyle\alpha=1,\ldots,s^{\prime}-1
∫01uhas​S​(u)​du\displaystyle\int_{0}^{1}u^{a}\mathrm{\penalty 10000\ S}(u)du ≠0,\displaystyle\neq 0, α=s′\displaystyle\alpha=s^{\prime}

Thus in the caseλI=in,λ/′=Im\lambda_{I}=\frac{i}{n},\lambda_{/}^{\prime}=\frac{j}{m}the general solution is of degree(2⌈n2⌋+1.2⌊m2⌋+1)\left(2\left\lceil\frac{n}{2}\right\rfloor+1,2\left\lfloor\frac{m}{2}\right\rfloor+1\right).

For example, the general solution of the equation

1(x2−x1)​(y2−y1)​∫x1x2∫y1y2f​(t,u)​dt​du=\displaystyle\frac{1}{\left(x_{2}-x_{1}\right)\left(y_{2}-y_{1}\right)}\int_{x_{1}}^{x_{2}}\int_{y_{1}}^{y_{2}}f(t,u)dtdu=
=136​[f​(x1,y1)+f​(x1,y2)+f​(x2,y1)+f​(x2,y2)]+\displaystyle\quad=\frac{1}{36}\left[f\left(x_{1},y_{1}\right)+f\left(x_{1},y_{2}\right)+f\left(x_{2},y_{1}\right)+f\left(x_{2},y_{2}\right)\right]+
+19​[f​(x1+x22,y1)+f​(x1+x22,y2)+f​(x1,y1+y22)​f+(x2,y1+y22)]+\displaystyle+\frac{1}{9}\left[f\left(\frac{x_{1}+x_{2}}{2},y_{1}\right)+f\left(\frac{x_{1}+x_{2}}{2},y_{2}\right)+f\left(x_{1},\frac{y_{1}+y_{2}}{2}\right)f+\left(x_{2},\frac{y_{1}+y_{2}}{2}\right)\right]+
+49​f​(x1+x22,y1+y22)\displaystyle\quad+\frac{4}{9}f\left(\frac{x_{1}+x_{2}}{2},\frac{y_{1}+y_{2}}{2}\right)

is an arbitrary polynomial of degree(3.3)(3,3).

(6) The property results from the fact that the polynomial
(1+zm)​[∑i=0rαi​z​2​ki]−2​∑i=0rαi​z​2​kL,0≤k0<k4<…<kr−1<kr≤m\displaystyle\left(1+z^{m}\right)\left[\sum_{i=0}^{r}\alpha_{i}z2k_{i}\right]-2\sum_{i=0}^{r}\alpha_{i}z2k_{l},\quad 0\leq k_{0}<k_{4}<\ldots<k_{r-1}<k_{r}\leq m

cannot be identically canceled out, without the coefficientsαi\alpha_{i}not all null.
17. - We will conclude by giving yet another extension of MD Pompetu's problem. Let us now consider the interpolation polynomial of degreenninttAnduu

Q​(t,u)=∑i=0n∑I=0n−i{∏α=0i−1t−tαti−tα⋅∏α=0I−1u−uαuI−uα⋅∏has=i+I+1nDα​(t,u)Dα​(ti,uI)⋅f​(ti,ui)}Q(t,u)=\sum_{i=0}^{n}\sum_{j=0}^{n-i}\left\{\prod_{\alpha=0}^{i-1}\frac{t-t_{\alpha}}{t_{i}-t_{\alpha}}\cdot\prod_{\alpha=0}^{j-1}\frac{u-u_{\alpha}}{u_{j}-u_{\alpha}}\cdot\prod_{a=i+j+1}^{n}\frac{\mathrm{D}_{\alpha}(t,u)}{\mathrm{D}_{\alpha}\left(t_{i},u_{j}\right)}\cdot f\left(t_{i},u_{i}\right)\right\}

Or

Dhas​(t,u)=|1tu1thasu01t0uhas|,α=1.2,…,nti=x1+λi​(x2−x1),uI=y1+λI′​(y2−y1)\begin{gathered}\mathrm{D}_{a}(t,u)=\left|\begin{array}[]{ccc}1&t&u\\ 1&t_{a}&u_{0}\\ 1&t_{0}&u_{a}\end{array}\right|,\alpha=1,2,\ldots,n\\ t_{i}=x_{1}+\lambda_{i}\left(x_{2}-x_{1}\right),\quad u_{j}=y_{1}+\lambda_{j}^{\prime}\left(y_{2}-y_{1}\right)\end{gathered}

fixed constantsλi,λI′\lambda_{i},\lambda_{j}^{\prime}having the same meaning as before.

If we write the equality between the average values ​​of the function and its interpolation polynomialQ​(t,u)Q(t,u)we find the functional equation
(8)2(x2−x1)​(y2−y1)​∬(T)f​(t,u)​dt​du=∑i=0n∑I=0n−ivi,f​f​[x1+λi​(x2−x1),y1+λI′​(y2−y1)]\frac{2}{\left(x_{2}-x_{1}\right)\left(y_{2}-y_{1}\right)}\iint_{(\mathrm{T})}f(t,u)dtdu=\sum_{i=0}^{n}\sum_{j=0}^{n-i}v_{i,f}f\left[x_{1}+\lambda_{i}\left(x_{2}-x_{1}\right),y_{1}+\lambda_{j}^{\prime}\left(y_{2}-y_{1}\right)\right]
the integral being extended to the triangle (T) formed by the points (∞1,y1\infty_{1},y_{1}),(x2,y1),(x1,y2)\left(x_{2},y_{1}\right),\left(x_{1},y_{2}\right)and the coefficientsvi,Iv_{i,j}are given by the formulas

vi,I=2​∬t≥0,u≥0t+u≤1i−1∣λhas−λhast−λhasλL−λhas=0I−1​u−λhas′λI′−λhas′⋅∏has=i+I+1nDhas′​(t,u)Dhas′​(λi,λL′)​d​t​d​uv_{i,j}=2\iint_{\begin{subarray}{c}t\geq 0,u\geq 0\\ t+u\leq 1\end{subarray}}^{\frac{i-1}{\mid\lambda_{a}-\lambda_{a}}}\frac{t-\lambda_{a}}{\lambda_{l}-\lambda_{a=0}^{j-1}}\frac{u-\lambda_{a}^{\prime}}{\lambda_{j}^{\prime}-\lambda_{a}^{\prime}}\cdot\prod_{a=i+j+1}^{n}\frac{\mathrm{D}_{a}^{\prime}(t,u)}{\mathrm{D}_{a}^{\prime}\left(\lambda_{i},\lambda_{l}^{\prime}\right)}dtdu

Or

Dhas′​(t,u)=|1tu1λhasλ0′1λ0λhas′|,α=1.2,…,n.\mathrm{D}_{a}^{\prime}(t,u)=\left|\begin{array}[]{ccc}1&t&u\\ 1&\lambda_{a}&\lambda_{0}^{\prime}\\ 1&\lambda_{0}&\lambda_{a}^{\prime}\end{array}\right|,\alpha=1,2,\ldots,n.

Equation (8) is satisfied by a polynomial of degreenn
The constants λi,λ′′\lambda_{i},\lambda^{\prime}{}^{\prime}Since they are rational, we can immediately see, as in No. 15, that the function satisfies a functional equation of the type (4). We can easily conclude from this that:

The general continuous solution of equation (9) is a polynomial.
18. - Equation (8) can be verified by a polynomial of degree greater thannnFor the general solution to be a polynomial of degreen+sn+sit is necessary and sufficient that

∬(t≥0,u≤0tα​uβ​(t−λ0)​(t−λ1)​…​(t−λi−1)​(u−λ0′)​(u−λ1′)​…​(u−λn−i′)​dt​du\displaystyle\iint_{(t\geq 0,u\leq 0}t^{\alpha}u^{\beta}\left(t-\lambda_{0}\right)\left(t-\lambda_{1}\right)\ldots\left(t-\lambda_{i-1}\right)\left(u-\lambda_{0}^{\prime}\right)\left(u-\lambda_{1}^{\prime}\right)\ldots\left(u-\lambda_{n-i}^{\prime}\right)dtdu
=0,α+β=0,1,2,…,s−1≠0,α+β=si=0.1,…,n+1\displaystyle\qquad\begin{array}[]{cl}=0,&\alpha+\beta=0,1,2,\ldots,s-1\\ \neq 0,&\alpha+\beta=s\\ i=0,1,\ldots,n+1\end{array}

Finally, let's give an example. The general solution of the functional equation

2(x2−x1)​(y2−y1)​∬(Υ)f​(t,u)​dt​du=13​[f​(x2,y1)+f​(x2,y1)+f​(x1,y2)]\frac{2}{\left(x_{2}-x_{1}\right)\left(y_{2}-y_{1}\right)}\iint_{(\Upsilon)}f(t,u)dtdu=\frac{1}{3}\left[f\left(x_{2},y_{1}\right)+f\left(x_{2},y_{1}\right)+f\left(x_{1},y_{2}\right)\right]

Easthas+b​x+c​y,has,b,ca+bx+cy,a,b,cbeing constants.

SUMMARY.

The general continuous solution of the equation∑i=0nhasi​f​(x+i​h)=0\sum_{i=0}^{n}a_{i}f(x+ih)=0is a polynomial. We are examining the equation with two variables

∑i=0n∑I=0mhasi,I​f​(x+i​h1​y+I​h′)=0\sum_{i=0}^{n}\sum_{j=0}^{m}a_{i,j}f\left(x+ih_{1}y+jh^{\prime}\right)=0

and we determine those whose general continuous solution is a polynomial *. In the third part, we point out equations of the form

1y−x​∫xyf​(t)​dt=∑i=0nμi​f​[x+λi​(y−x)]1(x2−x1)​(y2−y1)​∫x1x2∫y1y1f​(t,u)​dt​du=∑i=0n∑i=0mμi,I​f​[x1+λi​(x2−x1),y1+λI′​(y2−y1)]2(x2−x1)​(y2−y1)​∬(T)f​(t,u)​dt​du=∑i=0n∑I=0n−tvi,I​f​[x1+λL​(x2−x1),y1+λ′​(y2−y1)]\begin{gathered}\frac{1}{y-x}\int_{x}^{y}f(t)dt=\sum_{i=0}^{n}\mu_{i}f\left[x+\lambda_{i}(y-x)\right]\\ \frac{1}{\left(x_{2}-x_{1}\right)\left(y_{2}-y_{1}\right)}\int_{x_{1}}^{x_{2}}\int_{y_{1}}^{y_{1}}f(t,u)dtdu=\sum_{i=0}^{n}\sum_{i=0}^{m}\mu_{i,j}f\left[x_{1}+\lambda_{i}\left(x_{2}-x_{1}\right),y_{1}+\lambda_{j}^{\prime}\left(y_{2}-y_{1}\right)\right]\\ \frac{2}{\left(x_{2}-x_{1}\right)\left(y_{2}-y_{1}\right)}\iint_{(\mathrm{T})}f(t,u)dtdu=\sum_{i=0}^{n}\sum_{j=0}^{n-t}v_{i,j}f\left[x_{1}+\lambda_{l}\left(x_{2}-x_{1}\right),y_{1}+\lambda^{\prime}\left(y_{2}-y_{1}\right)\right]\end{gathered}

(T) being the triangle formed by the points(x1,y1),(x2,y1),(x1,y2)\left(x_{1},y_{1}\right),\left(x_{2},y_{1}\right),\left(x_{1},y_{2}\right)whose general continuous solution is a polynomial.

1935

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