Application of the method of successive approximations to the numerical integration of differential equations

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D.V. Ionescu
Institutul de Calcul

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D.V. Ionescu, L’application de la méthode des approximations successives à l’intégration numérique des équations différentielles. (French) Bull. Math. Soc. Sci. Math. Phys. R. P. Roumaine (N.S.) 3 (51) 1959 423–431.

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D.V. Ionescu, Application of the method of successive approximations to the numerical integration of differential equations, Acad. R. P. Romîne Fil. Cluj Stud. Cerc. Mat., 11 1960, 273–286.
[Aplicarea metodei aproximărilor succesive la integrarea numerică a ecuațiilor diferențiale]

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BULL. MATH. of the Society. Sci. Math. Phys. of the RPR
Volume 3 (53) n n n^(@)n4, 1959

APPLICATION OF THE METHOD OF SUCCESSIVE APPROXIMATIONS TO THE NUMERICAL INTEGRATION OF DIFFERENTIAL EQUATIONS

BY

DV IONESCU (Cluj)

Let us consider the differential equation
y = f ( x , y ) y = f ( x , y ) y^(')=f(x,y)y=f(x,y)
where the function f ( x , y ) f ( x , y ) f(x,y)f(x,y)is defined and has continuous first- and second-order partial derivatives in the rectangle D D DDdefined by inequalities
x 0 x x 0 + has , | y | b . x 0 x x 0 + has , | y | b . x_(0) <= x <= x_(0)+a,quad|y| <=b.x0xx0+has,|y|b.
Let y(x) denote the integral of this equation that satisfies the condition y ( x 0 ) = 0 y ( x 0 ) = 0 y(x_(0))=0y(x0)=0and either ε ε epsiεa given positive number.
In this work, we will show, by applying the method of successive approximations, that we can determine on the interval [ x 0 , x 0 + has ) [ x 0 , x 0 + has ) [x_(0),x_(0)+a)[x0,x0+has)a network Γ Γ GammaΓknots x 0 , x 1 , , x n x 0 , x 1 , , x n x_(0),x_(1),dots,x_(n)x0,x1,,xnand a calculation algorithm for number calculations y i ( z ) y i ( z ) y_(i)^((z))yi(z)Or s = 0 , 1 , 2 , s = 0 , 1 , 2 , s=0,1,2,dotss=0,1,2,, v so as to have
| y ( x i ) y ( y ) | < 2 ε | y ( x i ) y ( y ) | < 2 ε |y(x_(i))-y^((y))| < 2epsi|y(xi)y(y)|<2ε
on all network nodes Γ Γ GammaΓ
To fix the number v, we take into account the method of successive approximations, and for the choice of the number of nodes n and the calculation algorithm for the numbers i ( s ) , s = 0 , 1 , i ( s ) , s = 0 , 1 , sum_(i)^((s)),s=0,1,dotsi(s),s=0,1,, v we will use the trapezoid quadrature formula.
This theorem was communicated at the Colloquium on Mechanics [1] held in Bucharest (October 25-29, 1959) and an extension to second-order hyperbolic partial differential equations was communicated at the Colloquium on the Theory of Partial Differential Equations [2] held in Bucharest (September 21-26, 1959)

§ 1. Dilential equations

  1. Consider the differential equation
    (1)
y = f ( x , y ) y = f ( x , y ) y^(')=f(x,y)y=f(x,y)
where the function / ( x , y ) ( x , y ) (x,y)(x,y)eal continue dane Ie metangle D D DDdefined by frog infegiltes
(2) x b x x b + has . | y | b x b x x b + has . | y | b quadx_(b) <= x <= x_(b)+a.quad|y| <=bxbxxb+has.|y|b
and satisfies the condition of LIPSCHITZ
(3) | / ( x , F ) f ( x , y ) | HAS | F y | | / ( x , F ) f ( x , y ) | HAS | F y | quad|//(x,F)f(x,y)|cdots A|Fy||/(x,F)f(x,y)|HAS|Fy|
Or HAS HAS HASHASis a constant.
Under these conditions, we know that the differential equation (1) has a unique integral of zero for x x xx- x 0 x 0 x_(0)x0- kile cat definie wor l'intervalle [ x 0 x 0 + h 1 ] [ x 0 x 0 + h 1 ] [x_(0)x_(0)+h_(1)][x0x0+h1]where
(4)
h 1 = min ( has , b M ) h 1 = min ( has , b M ) h_(1)=min(a,(b)/(M))h1=min(has,bM)
the number M M MMholding a saperiodic boundary of | / ( x , y ) | | / ( x , y ) | |//(x,y)||/(x,y)|in the rectangle D D DDThe
complete collection y ( x ) y ( x ) y(x)y(x)can be obtained by the method of successive approximations. We construct the function map { y ( n ) ( x ) } { y ( n ) ( x ) } {y^((n))(x)}{y(n)(x)}, where
(b)
y ( m ) ( x ) 4 3 f [ ξ , 0 ] d ξ (6) y ( n ) ( x ) α 4 π f [ ξ y ( 0 1 ) ( ξ ) ] d ξ . y ( m ) ( x ) 4 3 f [ ξ , 0 ] d ξ (6) y ( n ) ( x ) α 4 π f [ ξ y ( 0 1 ) ( ξ ) ] d ξ . {:[y^((m))(x)-int_(-4)^(3)f[xi","0]d xi],[(6)y^((n))(x)-int_(alpha_(4))^(pi)f[xiy^((0-1))(xi)]d xi.]:}y(m)(x)43f[ξ,0]dξ(6)y(n)(x)α4πf[ξy(01)(ξ)]dξ.
We know that the mother
y ( 1 ) ( x ) + i = 1 [ y ( 1 ) ( x ) y ( 0 1 ) ( x ) ] y ( 1 ) ( x ) + i = 1 [ y ( 1 ) ( x ) y ( 0 1 ) ( x ) ] y^((1))(x)+sum_(i=1)^(oo)[y^((1))(x)-y^((0-1))(x)]y(1)(x)+i=1[y(1)(x)y(01)(x)]
is absolutely and uniformly convergent on the interval [ x 0 , x 0 + h 1 ] [ x 0 , x 0 + h 1 ] [x_(0),x_(0)+h_(1)][x0,x0+h1]and that the sum of this series represents the integral of the differential equation (1) which satisfied the condition y ( x 0 ) 0 y ( x 0 ) 0 y(x_(0))-0y(x0)0We can read the complete text. y ( x ) y ( x ) y(x)y(x)in the form
y ( x ) = y ( n ) ( x ) + n = 1 [ y ( n ) ( x ) y ( n 1 ) ( x ) ] y ( x ) = y ( n ) ( x ) + n = 1 [ y ( n ) ( x ) y ( n 1 ) ( x ) ] y(x)=y^((n))(x)+sum_(n=1)^(oo)[y^((n))(x)-y^((n-1))(x)]y(x)=y(n)(x)+n=1[y(n)(x)y(n1)(x)]
and we demonstrate the inequality
| y ( x ) y ( 1 ) ( x ) | < M HAS e μ 1 ( HAS μ 1 ) γ + 3 ( ν + 2 ) ! . | y ( x ) y ( 1 ) ( x ) | < M HAS e μ 1 ( HAS μ 1 ) γ + 3 ( ν + 2 ) ! . |y(x)-y^((1))(x)| < (M)/(A)e^(mu_(1))((Amu_(1))^(gamma+3))/((nu+2)!).|y(x)y(1)(x)|<MHASeμ1(HASμ1)γ+3(ν+2)!.
Given a positive number, we can then choose the smallest natural number v to have
(7) M HAS < ( HAS h 1 ) r + 1 ( v + 2 ) T < ϵ (7) M HAS < ( HAS h 1 ) r + 1 ( v + 2 ) T < ϵ {:(7)(M)/(A) < ((Ah_(1))^(r+1))/((v+2)T) < epsilon:}(7)MHAS<(HASh1)r+1(v+2)T<ϵ
and we will have
(8)
| y ( x ) y ( y ) ( x ) | < c . | y ( x ) y ( y ) ( x ) | < c . |y(x)-y^((y))(x)| < c.|y(x)y(y)(x)|<c.
the natural number y once chosen, remain fixed and play an important role in the numerical integration of the differential equation (1).
_ _ _ _ _ _ _ _ ________
9. For the numerical integration of the differential equation (I), adjust the condition y ( x 0 ) = 0 y ( x 0 ) = 0 y(x_(0))=0y(x0)=0, we will make new hypotheses about the function / (x, y), which are related to the numerical interpretation procedure that we will now give in this work.
We will assume that the function f ( z , g ) f ( z , g ) f(z,g)f(z,g)sit des derivatives participles par npport & x x xxot ay of the first and of the round order, continuous in the triangle D. Under these conditions the number A of Lipachitz's inequality (3) is an upper bound of | f y | | f y | |(del f)/(del y)||fy|in the rectangle D D DD.
We demonstrate that the gos functions ( x x xx) donsers by the formals (6) and (6) cat of the first and second order derivatives continuous by the interval [ x 0 , x 0 + h 1 ] [ x 0 , x 0 + h 1 ] [x_(0),x_(0)+h_(1)][x0,x0+h1]We can calculate upper bounds of
| d y ( n ) ( x ) d x | | d n ( x ) d x 2 | , ( x = 0 , 1.2 . v ) | d y ( n ) ( x ) d x | | d n ( x ) d x 2 | , ( x = 0 , 1.2 . v ) |(dy^((n))(x))/(dx)|*|(d^(n)(x))/(dx^(2))|,quad(x=0,1.2 dots.v)|dy(n)(x)dx||dn(x)dx2|,(x=0,1.2.v)
over the interval [ x 0 , x 0 + h 1 ] [ x 0 , x 0 + h 1 ] [x_(0),x_(0)+h_(1)][x0,x0+h1]by using the upper horns of
| / ( x , y ) | . | f i x | | f y | | / ( x , y ) | . | f i x | | f y | |//(x,y)|.quad|(del f)/(ix)|*|(del f)/(del y)||/(x,y)|.|fix||fy|
in your rectangle D D DDIt
follows that the functions
p 2 n ( x ) = / | x , y 0 1 ( x ) | p 2 n ( x ) = / | x , y 0 1 ( x ) | p^(2n)(x)=//|x,y^(0-1)(x)|p2n(x)=/|x,y01(x)|

an upper bound of
| P * ( x ) P 3 | | P * ( x ) P 3 | |(P^(**)(x))/(P^(3))||P*(x)P3|
For s = 0 , 1 , , v 0 s = 0 , 1 , , v 0 s=0,1,dots,v_(0)s=0,1,,v0on the interval [ x 0 , x 0 + h 1 ] [ x 0 , x 0 + h 1 ] [x_(0),x_(0)+h_(1)][x0,x0+h1]
The number N will play an important role in the approximate calculation of the integrals (0) and (6) for s = 0 , 1 , , v s = 0 , 1 , , v s=0,1,dots,vs=0,1,,v.
We will denote by h a positive number of 6́finite by
(9)
HAS = min ( has b δ M ) HAS = min ( has b δ M ) A=min(a(b-delta)/(M))HAS=min(hasbδM)
where & is a positive number, domá, awes small. I eat tvident que nons avous h < h 1 h < h 1 h < h_(1)h<h1.
With these hypotheses, everyone could proceed to the anmerical integration of the equation
over the interval [ x 6 , x 6 + [ x 6 , x 6 + [x_(6),x_(6)+[x6,x6+h ] ] ]], in arithmetic programming and an algorithm for calculating numbers go for s = 0 , 1 , = 0 , 1 , =0,1,dots=0,1,, v so as to have on the nodes of the network I
(10) | y ( 1 ) ( x 1 ) y p | < c . (10) | y ( 1 ) ( x 1 ) y p | < c . {:(10)|y^((1))(x_(1))-y^(p)| <c.:}(10)|y(1)(x1)yp|<c.
of your trapezoid quadrature formula
(11) 0 0 f ( x ) d x = β α 2 U ( α ) + / ( β ) ) + R 1 . (11) 0 0 f ( x ) d x = β α 2 U ( α ) + / ( β ) ) + R 1 . {:(11)int_(0)^(0)f(x)dx=(beta-alpha)/(2)U(alpha)+//(beta))+R_(1).:}(11)00f(x)dx=βα2U(α)+/(β))+R1.
on
(12)
R = 0 0 ( x α ) ( x β ) 2 f ( x ) d x . R = 0 0 ( x α ) ( x β ) 2 f ( x ) d x . R=int_(0)^(0)((x-alpha)(x-beta))/(2)f^(')(x)dx.R=00(xα)(xβ)2f(x)dx.
If N, ext an upper bound of | / ( x ) | | / ( x ) | |//^(@)(x)||/(x)|because the interval [ α , β ] [ α , β ] [alpha,beta][α,β]we will have
(13)
| R | ( β α ) 3 12 N 1 . | R | ( β α ) 3 12 N 1 . |R| <= ((beta-alpha)^(3))/(12)N_(1).|R|(βα)312N1.
4 Let's divide the interculle [ x 0 , x + b x 0 , x + b x_(0),x+bx0,x+b] that are equal parts by points x 1 , x 2 , , x n 1 x 1 , x 2 , , x n 1 x_(1),x_(2),dots,x_(n-1)x1,x2,,xn1. Northern islands x 3 , x 1 x 1 x 3 , x 1 x 1 x_(3),x_(1)dots dotsx_(1)x3,x1x1Or x 1 = x 6 + h x 1 = x 6 + h x_(1)=x_(6)+hx1=x6+hform a rewas Γ Γ GammaΓNow let's calculate the values ​​of the functions g ( 4 ) ( x ) g ( 4 ) ( x ) g^((4))(x)g(4)(x), For s 0 , 1 , s 0 , 1 , s∼0,1,dotss~0,1,ver les meads do réwer Γ.
Name we have first
5 ( x 1 ) = z 1 z 1 / ξ , 0 ] d ξ . 5 ( x 1 ) = z 1 z 1 / ξ , 0 ] d ξ . 5^(oo)(x_(1))=int_(z_(1))^(z_(1))//∣xi,0]d xi.5(x1)=z1z1/|ξ,0]dξ.
È applying the quadrature formula (II) to each interval [ x a x a x_(a)xhas. x 1 x 1 x_(1)x1] [ x 2 , x 2 ] , [ x i 1 [ x 2 , x 2 ] , [ x i 1 [x_(2),x_(2)]dots,[x_(i-1)[x2,x2],[xi1. x i ] x i ] x_(i)]xi]and by adding, we have the formula
(HA) y ( n ) ( x i ) = y i ( n ) + R i ( n ) . (HA) y ( n ) ( x i ) = y i ( n ) + R i ( n ) . {:(HA)y^((n)){:(x_(i)):}=y_(i)^((n))+R_(i)^((n)).:}(HA)y(n)(xi)=yi(n)+Ri(n).
ભ્યે
(Ib)
and
n p = h 2 n [ f ( x 0 , 0 ) + f ( x i , 0 ) + 2 i = 1 i 1 f ( x i , 0 ) ] n p = h 2 n [ f ( x 0 , 0 ) + f ( x i , 0 ) + 2 i = 1 i 1 f ( x i , 0 ) ] n^(p)=(h)/(2n)[f(x_(0),0)+f(x_(i),0)+2sum_(i=1)^(i-1)f(x_(i),0)]np=h2n[f(x0,0)+f(xi,0)+2i=1i1f(xi,0)]
| R p | < H 3 12 π 3 i N < n 3 12 π 3 N | R p | < H 3 12 π 3 i N < n 3 12 π 3 N |R^(p)| < (H^(3))/(12pi^(3))iN < (n^(3))/(12pi^(3))N|Rp|<H312π3iN<n312π3N
because i n < I i n < I (i)/(n) < Iin<ILet e
​​be a positive number, which we will determine later. We will choose the number n, the smallest natural number, such that
(16) h 3 12 n 3 N < c 1 (16) h 3 12 n 3 N < c 1 {:(16)(h^(3))/(12n^(3))N < c_(1):}(16)h312n3N<c1
Since the number n is chosen in this way, it will remain fixed in the following, and we are sure of it in formula (14)
(17)
| R ( n ) | < c | R ( n ) | < c |R^((n))| < c|R(n)|<c

i. For In function y(1)(x). non nome
y 11 ( x 1 ) x 0 J 1 ξ y 1 ( E 1 ) E 0 y 11 ( x 1 ) x 0 J 1 ξ y 1 ( E 1 ) E 0 y^(11)(x_(1))-int_(x_(0))^(J_(1))∣xiy_(1)(E_(1))E_(0)y11(x1)x0J1|ξy1(E1)E0
ei pur lea neuidn x 1 x 1 x_(1)x1we have
y ( 1 ) ( x 1 ) x 0 x 4 f [ ξ y 5 ( ξ ) ] ε 6 . y ( 1 ) ( x 1 ) x 0 x 4 f [ ξ y 5 ( ξ ) ] ε 6 . y^((1))(x_(1))-int_(x_(0))^(x_(4))f[xiy_(5)(xi)]epsi_(6).y(1)(x1)x0x4f[ξy5(ξ)]ε6.
We proceed as in no. 4, and apply the quadrature formula of the intervals [ x 0 , x 1 ] [ x 0 , x 1 ] [x_(0),x_(1)][x0,x1]. [ x 1 , x 1 ] , [ x 1 , , x 1 ] [ x 1 , x 1 ] , [ x 1 , , x 1 ] [x_(1),x_(1)]dots,[x_(1),dots,x_(1)][x1,x1],[x1,,x1]none nurons
(18)
where
(10)
g ( 1 ) ( x 1 ) [ g ( 1 ) ] + η ( 1 ) g ( 1 ) ( x 1 ) [ g ( 1 ) ] + η ( 1 ) g^((1))(x_(1))-[g^((1))]+eta^((1))g(1)(x1)[g(1)]+η(1)
(II)
| r 1 ( n ) | < c 1 | r 1 ( n ) | < c 1 |r_(1)^((n))| < c_(1)|r1(n)|<c1
and where
(20)
[ y ( 1 ) ] h 2 n | f [ x 0 , y ( n ) ( x 0 ) ] + f [ x 1 , y ( n ) ( x 1 ) ] + 2 i = 1 L 1 | [ x 1 , y n ( x 1 ) ] | [ y ( 1 ) ] h 2 n | f [ x 0 , y ( n ) ( x 0 ) ] + f [ x 1 , y ( n ) ( x 1 ) ] + 2 i = 1 L 1 | [ x 1 , y n ( x 1 ) ] | [y^((1))]-(h)/(2n)|f[x_(0),y^((n))(x_(0))]+f[x_(1),y^((n))(x_(1))]+2sum_(i=1)^(L-1)|[x_(1),y^(n)(x_(1))]|[y(1)]h2n|f[x0,y(n)(x0)]+f[x1,y(n)(x1)]+2i=1L1|[x1,yn(x1)]|
Introduce the numbers yp ( 1 ) ( 1 ) ^((1))(1)by formula
(21) y ( 1 ) h 2 n { f ( x 0 , 0 ) + f ( x 1 , y 1 ( n ) ) + 2 i = 1 i 1 f ( x 1 , y i ( n ) ) } y ( 1 ) h 2 n { f ( x 0 , 0 ) + f ( x 1 , y 1 ( n ) ) + 2 i = 1 i 1 f ( x 1 , y i ( n ) ) } quady^((1))-(h)/(2n){f(x_(0),0)+f(x_(1),y_(1)^((n)))+2sum_(i=1)^(i-1)f(x_(1),y_(i)^((n)))}y(1)h2n{f(x0,0)+f(x1,y1(n))+2i=1i1f(x1,yi(n))}.
We will have
(22)
[ y ( 1 ) ] y ( 1 ) + p ( 1 ) [ y ( 1 ) ] y ( 1 ) + p ( 1 ) [y^((1))]-y^((1))+p^((1))[y(1)]y(1)+p(1)
Or
p ( 1 ) h 2 n { f ( x 1 , y ( x 1 ( n ) ) ) f ( x 1 , y 1 ( n ) ) + 2 1 4 U ( x 1 , y ( n ) ( x 1 ) ) l ( x 1 , y n ) } p ( 1 ) h 2 n { f ( x 1 , y ( x 1 ( n ) ) ) f ( x 1 , y 1 ( n ) ) + 2 1 4 U ( x 1 , y ( n ) ( x 1 ) ) l ( x 1 , y n ) } p^((1))-(h)/(2n){f(x_(1),y(x_(1)^((n))))-f(x_(1),y_(1)^((n)))+2sum_(-1)^(4)U(x_(1),y^((n))(x_(1)))-l(x_(1),y^(n))}p(1)h2n{f(x1,y(x1(n)))f(x1,y1(n))+214U(x1,y(n)(x1))L(x1,yn)}
Finally, taking into account Lipsciirz inequality (3) and the integlities (17), we have
| p i ( 1 ) | < 1 2 n ( 2 i 1 ) d c 1 | p i ( 1 ) | < 1 2 n ( 2 i 1 ) d c 1 |p_(i)^((1))| < (1)/(2n)(2i-1)dc_(1)|pi(1)|<12n(2i1)dc1
that is to say
(29)
| p ( 1 ) | < Δ h c 1 | p ( 1 ) | < Δ h c 1 |p^((1))| < Delta hc_(1)|p(1)|<Δhc1
Returning to formula (18) we can berire
(24)
y ( 1 ) ( x 1 ) = y v + B v y ( 1 ) ( x 1 ) = y v + B v y^((1))(x_(1))=y^(v)+B^(v)y(1)(x1)=yv+Bv
where, according to the inequalities (19) and (23) we have
that is to say
(26)
| R ( 1 ) | ε 1 + d A ε 1 | R ( 1 ) | ( 1 + R ) ε 1 | R ( 1 ) | ε 1 + d A ε 1 | R ( 1 ) | ( 1 + R ) ε 1 {:[|R^((1))| <= epsi_(1)+dAepsi_(1)],[|R^((1))| <= (1+R)epsi_(1)]:}|R(1)|ε1+dHASε1|R(1)|(1+R)ε1
od nons avons note
(26)
K A h K A h K-AhKHASh
  1. Let us move on to the general case. Suppose that nons avone demonstrates that
    (27)
| g ( t 1 ) ( x j ) y j f 4 ) | < ( 1 + K + + K 1 ) ε 1 | g ( t 1 ) ( x j ) y j f 4 ) | < ( 1 + K + + K 1 ) ε 1 |g^((t-1))(x_(j))-y_(j)^(f-4))| < (1+K+cdots+K^(-1))epsi_(1)|g(t1)(xj)yjf4)|<(1+K++K1)ε1
for jI. 2.... n, od̀
y f 1 ) 1 2 n | f ( x 0 , 0 ) + f ( x 1 , y 1 f m ) + 2 m = 1 i 1 | ( x 1 , y 0 f m 1 ) | y f 1 ) 1 2 n | f ( x 0 , 0 ) + f ( x 1 , y 1 f m ) + 2 m = 1 i 1 | ( x 1 , y 0 f m 1 ) | y^(f-1))-(1)/(2n)|f(x_(0),0)+f(x_(1),y_(1)^(f-m))+2sum_(m=1)^(i-1)|(x_(1),y_(0)^(f-m_(1)))|yf1)12n|f(x0,0)+f(x1,y1fm)+2m=1i1|(x1,y0fm1)|
and we demonstrate that by introducing the number yso by the formula
(28)
y ( 1 ) h 2 n { f ( x 0 , 0 ) + f ( x 0 , x ( 0 1 ) ) + 2 j = 1 j 1 f ( x 1 , y j ( 0 1 ) ) } y ( 1 ) h 2 n { f ( x 0 , 0 ) + f ( x 0 , x ( 0 1 ) ) + 2 j = 1 j 1 f ( x 1 , y j ( 0 1 ) ) } y^((1))-(h)/(2n){f(x_(0),0)+f(x_(0),x^((0-1)))+2sum_(j=1)^(j-1)f(x_(1),y_(j)^((0-1)))}y(1)h2n{f(x0,0)+f(x0,x(01))+2j=1j1f(x1,yj(01))}
ones avons aresi
(29)
| y ( 1 ) ( x 1 ) y ( 2 ) | ( 1 + K + + K + ) r 1 , | y ( 1 ) ( x 1 ) y ( 2 ) | ( 1 + K + + K + ) r 1 , |y^((1))(x_(1))-y^((2))| <= (1+K+dots+K^(+))r_(1),|y(1)(x1)y(2)|(1+K++K+)r1,
ED, indeed, mons have
y ( 1 ) ( x 1 ) = x 0 [ ξ y ( 0 1 ) ( ξ ) ] d ξ . y ( 1 ) ( x 1 ) = x 0 [ ξ y ( 0 1 ) ( ξ ) ] d ξ . y^((1))(x_(1))=int_(x_(0))^(oo)int[xiy^((0-1))(xi)]d xi.y(1)(x1)=x0[ξy(01)(ξ)]dξ.
By proceeding as in No. O, we have
(30) y ( 0 ) ( x i ) = [ y ( 0 ) ] + η ( 0 ) (30) y ( 0 ) ( x i ) = [ y ( 0 ) ] + η ( 0 ) {:(30)y^((0)){:(x_(i)):}=[y^((0))]+eta^((0)):}(30)y(0)(xi)=[y(0)]+η(0)
where
(31)
| γ ( 0 ) | < r 1 | γ ( 0 ) | < r 1 |gamma^((0))| < r_(1)|γ(0)|<r1
and
(32) [ y ( i ) ] = h 2 π { [ x 0 , y ( k 1 ) ( x 0 ) ] + / [ x 1 , y ( 0 1 ) ( x 1 ) ] + 2 j = 1 j 1 / [ x 1 , y ( 0 1 ) ( x j ) ] } [ y ( i ) ] = h 2 π { [ x 0 , y ( k 1 ) ( x 0 ) ] + / [ x 1 , y ( 0 1 ) ( x 1 ) ] + 2 j = 1 j 1 / [ x 1 , y ( 0 1 ) ( x j ) ] } [y^((i))]=(h)/(2pi){[x_(0),y^((k-1))(x_(0))]+//[x_(1),y^((0-1))(x_(1))]+2sum_(j=1)^(j-1)//[x_(1),y^((0-1))(x_(j))]}[y(i)]=h2π{[x0,y(k1)(x0)]+/[x1,y(01)(x1)]+2j=1j1/[x1,y(01)(xj)]}
Formulas (28) and (32) showed that
[ y ( i ) ] = y ( i ) + p ( 0 ) p ^ ( i ) = 1 2 n { / [ x i , y ( o 1 ) ( x i ) ] / [ x i , y i ( o 1 ) ] + 2 j = 1 i = 1 U ( x i , y ( o 1 ) ( x i ) ) / ( x i , y i ( o 1 ) ) ] } . [ y ( i ) ] = y ( i ) + p ( 0 ) p ^ ( i ) = 1 2 n { / [ x i , y ( o 1 ) ( x i ) ] / [ x i , y i ( o 1 ) ] + 2 j = 1 i = 1 U ( x i , y ( o 1 ) ( x i ) ) / ( x i , y i ( o 1 ) ) ] } . {:[[y^((i))]=y^((i))+p^((0))],[ hat(p)^((i))=(1)/(2n){//[x_(i),y^((o-1))(x_(i))]-//[x_(i),y_(i)^((o-1))]+2sum_(j=1)^(i=1)U(x_(i),y^((o-1))(x_(i)))-//(x_(i),y_(i)^((o-1)))]}.]:}[y(i)]=y(i)+p(0)p^(i)=12n{/[xi,y(o1)(xi)]/[xi,yi(o1)]+2j=1i=1U(xi,y(o1)(xi))/(xi,yi(o1))]}.
Taking into account the lapschitz inequality and inequalities (27), we have
| p ( p ) | < h 2 n ( 2 i 1 ) A ( 1 + K + + K 2 1 ) r 1 | p ( p ) | < h 2 n ( 2 i 1 ) A ( 1 + K + + K 2 1 ) r 1 |p(p)| < (h)/(2n)(2i-1)A(1+K+dots+K^(2-1))r_(1)|p(p)|<h2n(2i1)HAS(1+K++K21)r1
"
13)
| p ^ ( i ) | K + K 2 + + K 0 ) c 1 . | p ^ ( i ) | K + K 2 + + K 0 ) c 1 . | hat(p)^((i))| <= K+K^(2)+dots+K^(0))c_(1).|p^(i)|K+K2++K0)c1.
II rAulte Alon que nons pouvais Ariur
y ( n ) ( x 1 ) y 0 n + k 1 n . y ( n ) ( x 1 ) y 0 n + k 1 n . y^((n))(x_(1))-y_(0)^(n)+k_(1)^(n).y(n)(x1)y0n+k1n.
Or
R ( n ) r n + p ^ n . R ( n ) r n + p ^ n . R^((n))-r^(n)+ hat(p)^(n).R(n)rn+p^n.
Tonant compo des integaliten (31) et (33). il réwulte que nous avons
| R ( n ) | ( 1 + K + + K ) n 1 | R ( n ) | ( 1 + K + + K ) n 1 |R^((n))| <= (1+K+dots+K^('))_(n_(1))|R(n)|(1+K++K)n1
This proves that inequality (29) is demonstrated.
7. We have therefore found an algorithm for calculating the numbers s₀ using formulas (16) and (28). It now remains for us to determine the number ₀. We will first take the number ϵ 1 ϵ 1 epsilon_(1)ϵ1in such a way that the middle member of Pinégalité (20) for s - y is smaller than c. We will therefore prove
c 1 ε 1 + K + + K . c 1 ε 1 + K + + K . c_(1) <= (epsi)/(1+K+dots+K).c1ε1+K++K.
Mnis there is still one condition for the number a. For formula (28) to make sense for s - v, the point with coordinates ( x i x i x_(i)xi. y ^ 1 y ^ 1 hat(y)^(-1)y^1) is found in the rectangular D. Of identity
y ( n 1 ) [ y ( n 1 ) ( x k ) y ( 1 ) ] + y ( n 1 ) ( x l ) y ( n 1 ) [ y ( n 1 ) ( x k ) y ( 1 ) ] + y ( n 1 ) ( x l ) y^((n-1))--[y^((n-1))(x_(k))-y^((-1))]+y^((n-1))(x_(l))y(n1)[y(n1)(xk)y(1)]+y(n1)(xL)
and from the definition of the number h, we do not deduce that
| ( 1 ) | | R ( 1 ) | + b δ < ( 1 + K + + K } c 1 + b δ | ( 1 ) | | R ( 1 ) | + b δ < ( 1 + K + + K } c 1 + b δ |ℜ^((-1))| <= |R^((-1))|+b-delta < (1+K+dots+K^(-)}c_(1)+b-delta|(1)||R(1)|+bδ<(1+K++K}c1+bδ
or even
| m ( p 1 ) | < ( 1 + K + + K ) c 1 + b c | m ( p 1 ) | < ( 1 + K + + K ) c 1 + b c |m^((p-1))| < (1+K+dots+K)c_(1)+b-c|m(p1)|<(1+K++K)c1+bc
To have | y ( p 1 ) | b | y ( p 1 ) | b |y^((p-1))| <= b|y(p1)|b, it is necessary that c 1 c 1 c_(1)c1checks the condition
c 1 3 1 + K + + K c 1 3 1 + K + + K c_(1) <= (3)/(1+K+dots+K)c131+K++K
So, we choose the number ca using the formula
(34) ε 1 min ( ε 1 + K + + K , λ 1 + K + + K ) (34) ε 1 min ( ε 1 + K + + K , λ 1 + K + + K ) {:(34)epsi_(1)-min((epsi)/(1+K+dots+K)","(lambda)/(1+K+dots+K)):}(34)ε1min(ε1+K++K,λ1+K++K)
lo nombro c 1 c 1 c_(1)c1building ainai prevish, the coordinate point ( x 1 , y ( n ) ) ( x 1 , y ( n ) ) (x_(1),y^((n)))(x1,y(n))Or 3 = 0 , 1 , , v 1 3 = 0 , 1 , , v 1 3=0,1,dots,v-13=0,1,,v1is located in the rectangle D D DDIndeed, by proceeding as above, we have
| y ( j ) | < | k ( k ) | + b δ < ( 1 + K + + K ) c 1 + b b | y ( j ) | < | k ( k ) | + b δ < ( 1 + K + + K ) c 1 + b b |y^((j))| < |k^((k))|+b-delta < (1+K+dots+K^('))c_(1)+b-b|y(j)|<|k(k)|+bδ<(1+K++K)c1+bb
or enooro
| y ( 0 ) | < ( 1 + K + + K ) ε 1 + b δ < b . | y ( 0 ) | < ( 1 + K + + K ) ε 1 + b δ < b . |y^((0))| < (1+K+dots+K^('))epsi_(1)+b-delta < b.|y(0)|<(1+K++K)ε1+bδ<b.
  1. Tranat accounts for inequalities and identity
! g ( x ) y ( n ) ( x ) e . y ( n ) ( x 1 ) y ( n ) ∣< 0 ! g ( x ) y ( n ) ( x ) e . y ( n ) ( x 1 ) y ( n ) ∣< 0 !g(x)-y^((n))(x) <= e.quady^((n))(x_(1))-y^((n))∣<0!g(x)y(n)(x)e.y(n)(x1)y(n)|0

(38)
η ( x 1 ) ξ ! < 2 ε . η ( x 1 ) ξ ! < 2 ε . eta(x_(1))-xi^('')! < 2epsi.η(x1)ξ!<2ε.


pine priser pue ic.
9. Dansua auter uravil [3] nons avons montró que si la fonction f ( x , y ) f ( x , y ) f(x,y)f(x,y)a des deviver partiedes par rapport ì x x xxand to the left, of order greater than two, continuous in the rectangle D. It is practical to choose the network I in another way, using another quadrature formula. We have already treated in detail the integration and differential equation (I), using the method of mechanical approximations of the quadrature formula of K. Petr. [4,6]. We have also treated the quadrature formula of K. Petr. [4,6].

Buntim eax partial didvies of the secend exdre of hyperbelic type

IR. Now aroa makes an extension of the previous method of numerical integration of differential equations (1), to partial differential equations of the second order of hyperbolic type [2]. This work will soon appear in Marbrastica Toure ? (5). We have first established by an extension of the method of J. Radon [6]. the cubature formula
(36) D f ( x , y ) d z d y = ( x 1 x 1 ) ( y 1 y 1 ) 2 U ( x 1 , y 1 ) + f ( y 2 , y 0 ) ] + R D f ( x , y ) d z d y = ( x 1 x 1 ) ( y 1 y 1 ) 2 U ( x 1 , y 1 ) + f ( y 2 , y 0 ) ] + R quad∬_(D)f(x,y)dzdy=(((x_(1)-x_(1)))((y_(1)-y_(1))))/(2)U(x_(1),y_(1))+f(y_(2),y_(0))]+RDf(x,y)dzdy=(x1x1)(y1y1)2U(x1,y1)+f(y2,y0)]+R,
od D D DDent the rectangle defined by the inequalities
x 1 x x 2 , y 1 y y 2 x 1 x x 2 , y 1 y y 2 x_(1) <= x <= x_(2),quady_(1) <= y <= y_(2)x1xx2,y1yy2
and where the revte R R RRis done by the formula
(37) R D ( ρ 2 f x 2 + ψ 2 f x y + θ 2 f y 2 ) d x d y (37) R D ( ρ 2 f x 2 + ψ 2 f x y + θ 2 f y 2 ) d x d y {:(37)R-∬_(D)(rho(del^(2)f)/(delx^(2))+psi(del^(2)f)/(del x del y)+theta(del^(2)f)/(dely^(2)))dxdy:}(37)RD(ρ2fx2+ψ2fxy+θ2fy2)dxdy
arec
φ ( x , y ) 1 2 ( x x 1 ) ( x x 1 ) , ψ ˙ ( x , y ) 1 2 [ ( x x 1 ) ( y y 2 ) + ( x x 2 ) ( y y 1 ) + ( x 3 x 1 ) ( y 2 y 1 ) ) , 0 ( x , y ) 1 2 ( y y 1 ) ( y y 1 ) . φ ( x , y ) 1 2 ( x x 1 ) ( x x 1 ) , ψ ˙ ( x , y ) 1 2 [ ( x x 1 ) ( y y 2 ) + ( x x 2 ) ( y y 1 ) + ( x 3 x 1 ) ( y 2 y 1 ) ) , 0 ( x , y ) 1 2 ( y y 1 ) ( y y 1 ) . {:[varphi(x","y)-(1)/(2){:(x-x_(1)):}{:(x-x_(1)):}","],[psi^(˙)(x","y)--(1)/(2)[(x-x_(1))(y-y_(2))+(x-x_(2))(y-y_(1))+(x_(3)-x_(1))(y_(2)-y_(1)))","],[0(x","y)-(1)/(2){:(y-y_(1)):}{:(y-y_(1)):}.]:}φ(x,y)12(xx1)(xx1),ψ˙(x,y)12[(xx1)(yy2)+(xx2)(yy1)+(x3x1)(y2y1)),0(x,y)12(yy1)(yy1).
We now apply the mucoxiver approximation method and the cubature formula (3si) to the numerical integration of the equation anx derivative parlinles
a s x y f ( x , y , z , p , q ) . a s x y f ( x , y , z , p , q ) . (del^(a)s)/(del x del y)-f(x,y,z,p,q).hassxyf(x,y,z,p,q).
Or p z z q z y p z z q z y p-(del z)/(del z)*q cdots(del z)/(del y)pzzqzy, with the conditions z ( x , 0 ) 0 , z ( 0 , y ) 0 z ( x , 0 ) 0 , z ( 0 , y ) 0 z(x,0)-0,z(0,y)-0z(x,0)0,z(0,y)0, in the rectangle Δ Δ DeltaΔformed by your rights x 0 , x x , y 0 , y μ x 0 , x x , y 0 , y μ x-0,x-x,y-0,y-mux0,xx,y0,yμ
We have shown that we can determine us rewan T tormé by the lines x x 1 , y y 2 x x 1 , y y 2 x-x_(1),y-y_(2)xx1,yy2where the points x 1 x 1 x_(1)x1And y 2 y 2 y_(2)y2share the intervals ( 0 , λ 0 , λ 0,lambda0,λ) And ( 0 , μ 0 , μ 0,mu0,μ) in not m equal parts and seek a calculation algorithm for the numbers: Sy, P&. (') such that c being a positive number doan6, the values ​​sbolues of the difference
ε ( x 1 , y 2 ) d y p p ( x i , y n ) p ( y n , q ( x i , y n ) 4 y n ε ( x 1 , y 2 ) d y p p ( x i , y n ) p ( y n , q ( x i , y n ) 4 y n epsi(x_(1),y_(2))-dy_(p)^(')p(x_(i),y_(n))-p(y_(n)^('),q(x_(i),y_(n))-4y_(n)^(')ε(x1,y2)dypp(xi,yn)p(yn,q(xi,yn)4yn
on the noculs of the rescau Γ Γ GammaΓ, are smaller than 2:

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