AdF/dx + BdF/dy = dF/dt

possesses an integral P0 + tP1 + t^2P2/2! + ... in which the

coefficients in P0 are real and positive, and each not less than the

absolute value of the corresponding coefficient in p0. If a, b be

developable for x, y both in absolute value less than r and for t less

in absolute value than R, and for such values a, b be both less in

absolute value than the real positive constant M, it is not difficult

to verify that we may take

/ x + y\-1 / t\-1

A = B = M( 1 - ----- ) ( 1 - - ),

\ r / \ R/

and obtain

_ _

| 4MR / x + y\-2 / t\-1 |1/2

F = r - (r - x - y) | 1 - ---(1 - ------) log (1 - - ) |,

|_ r \ r / \ R/ _|

and that this solves the problem when x, y, t are sufficiently small

for the two cases p0 = x, p0 = y. One obvious application of the

general theorem is to the proof of the existence of an integral of an

ordinary linear differential equation given by the n equations dy/dx =

y1, dy1/dx = y2, ...,

dy_n-1/dx = p - p1 y_n-1 - ... - p_n y;

but in fact any simultaneous system of ordinary equations is reducible

to a system of the form

dx1/dt = [phi](tx1, ... x_n).

Simultaneous linear partial equations.

Complete systems of linear partial equations.

Jacobian systems.

Suppose we have k homogeneous linear partial equations of the first

order in n independent variables, the general equation being

a_[sigma]1 df/dx1 + ... + a_[sigma]n df/dx_n = 0, where [sigma] = 1,

... k, and that we desire to know whether the equations have common

solutions, and if so, how many. It is to be understood that the

equations are linearly independent, which implies that k <= n and not

every determinant of k rows and columns is identically zero in the

matrix in which the i-th element of the [sigma]-th row is a[sigma]_i(i

= 1, ... n, [sigma] = 1, ... k). Denoting the left side of the

[sigma]-th equation by P[sigma]f, it is clear that every common

solution of the two equations P_[sigma]f = 0, P_[rho]f = 0, is also a

solution of the equation P_[rho](P_[sigma]f), P_[sigma](P_[rho]f), We

immediately find, however, that this is also a linear equation,

namely, [Sigma]H_i df/dx_i = 0 where H_i = P[rho]a[sigma]_i -

P[sigma]a[rho]_i, and if it be not already contained among the given

equations, or be linearly deducible from them, it may be added to

them, as not introducing any additional limitation of the possibility

of their having common solutions. Proceeding thus with every pair of

the original equations, and then with every pair of the possibly

augmented system so obtained, and so on continually, we shall arrive

at a system of equations, linearly independent of each other and

therefore not more than n in number, such that the combination, in the

way described, of every pair of them, leads to an equation which is

linearly deducible from them. If the number of this so-called

_complete system_ is n, the equations give df/dx1 = 0 ... df/dxn = 0,

leading to the nugatory result f = a constant. Suppose, then, the

number of this system to be r < n; suppose, further, that from the

matrix of the coefficients a determinant of r rows and columns not

vanishing identically is that formed by the coefficients of the

differential coefficients of f in regard to x1 ... x_r; also that the

coefficients are all developable about the values x1 = x1^0, ... xn=

xn^0, and that for these values the determinant just spoken of is not

zero. Then the main theorem is that the complete system of r

equations, and therefore the originally given set of k equations,

have in common n - r solutions, say [omega]r+1, ... [omega]n, which

reduce respectively to x_r+1, ... x_n when in them for x1, ... x_r are

respectively put x1^0, ... x_r^0; so that also the equations have in

common a solution reducing when x1 = x1^0, ... x_r = x_r^0 to an

arbitrary function [psi](x_r+1, ... x_n) which is developable about

x_r+1^0, ... x_n^0, namely, this common solution is [psi]([omega]_r+1,

... [omega]_n). It is seen at once that this result is a

generalization of the theorem for r = 1, and its proof is conveniently

given by induction from that case. It can be verified without

difficulty (1) that if from the r equations of the complete system we

form r independent linear aggregates, with coefficients not

necessarily constants, the new system is also a complete system; (2)

that if in place of the independent variables x1, ... xn we introduce

any other variables which are independent functions of the former, the

new equations also form a complete system. It is convenient, then,

from the complete system of r equations to form r new equations by

solving separately for df/dx1, ..., df/dx_r; suppose the general

equation of the new system to be

Q_[sigma]f = df/dx_[sigma] + c_[sigma],r+1 df/dx_r+1 + ... + c_[sigma]n df/dx_n = 0 ([sigma] = 1, ... r).

Then it is easily obvious that the equation Q_[rho]Q_[sigma]f -

Q_[sigma]Q_[rho]f = 0 contains only the differential coefficients of f

in regard to x_r+1 ... xn; as it is at most a linear function of Q1f,

... Qrf, it must be identically zero. So reduced the system is called

a Jacobian system. Of this system Q1f=0 has n - 1 principal solutions

reducing respectively to x2, ... xn when

x1 = x1^0,

and its form shows that of these the first r - 1 are exactly x2 ...

xr. Let these n - 1 functions together with x1 be introduced as n new

independent variables in all the r equations. Since the first equation

is satisfied by n - 1 of the new independent variables, it will

contain no differential coefficients in regard to them, and will

reduce therefore simply to df/dx1 = 0, expressing that any common

solution of the r equations is a function only of the n - 1 remaining

variables. Thereby the investigation of the common solutions is

reduced to the same problem for r - 1 equations in n - 1 variables.

Proceeding thus, we reach at length one equation in n - r + 1

variables, from which, by retracing the analysis, the proposition

stated is seen to follow.

System of total differential equations.

The analogy with the case of one equation is, however, still closer.

With the coefficients c_[sigma]j, of the equations Q_[sigma]f = 0 in

transposed array ([sigma] = 1, ... r, j = r + 1, ... n) we can put

down the (n - r) equations, dx_j = c1_j dx1 + ... + c_rj dx_r,

equivalent to the r(n - r) equations dx_j/dx_[sigma] = c_[sigma]r.

That consistent with them we may be able to regard x_r+1, ... x_n as

functions of x1, ... x_r, these being regarded as independent

variables, it is clearly necessary that when we differentiate

c_[sigma]j in regard to x_[rho] on this hypothesis the result should

be the same as when we differentiate c[rho]j, in regard to x[sigma] on

this hypothesis. The differential coefficient of a function f of x1,

... xn on this hypothesis, in regard to x_[rho]j is, however,

df/dx_[rho] + c_[rho],r+1 df/dx_r+1 + ... + c_[rho]n df/dx_n,

namely, is Q_[rho]f. Thus the consistence of the n - r total equations

requires the conditions Q_[rho]c_[sigma]j - Q_[sigma]c_[rho]j = 0,

which are, however, verified in virtue of Q[rho](Q[sigma][f]) -

Q_[sigma](Q_[rho]f) = 0. And it can in fact be easily verified that if

[omega]_r+1, ... [omega]_n be the principal solutions of the Jacobian

system, Q_[sigma]f = 0, reducing respectively to x_r+1, ... xn when x1

= x1^0, ... x_r = x_r^0, and the equations [omega]_r+1 = x_r+1^0, ...

[omega]_n = x_n^0 be solved for x_r+1, ... x_n to give x_j =

[psi]_j(x1, ... x_r, x_r+1^0, ... x_n^0), these values solve the total

equations and reduce respectively to x_r+1^0, ... x_n^0 when x1 = x1^0

... x_r = x_r^0. And the total equations have no other solutions with

these initial values. Conversely, the existence of these solutions of

the total equations can be deduced a priori and the theory of the

Jacobian system based upon them. The theory of such total equations,

in general, finds its natural place under the heading _Pfaffian

Expressions_, below.

Geometrical interpretation and solution.

Mayer's method of integration.

A practical method of reducing the solution of the r equations of a

Jacobian system to that of a single equation in n - r + 1 variables

may be explained in connexion with a geometrical interpretation which

will perhaps be clearer in a particular case, say n = 3, r = 2. There

is then only one total equation, say dz = adz + bdy; if we do not take

account of the condition of integrability, which is in this case da/dy

+ bda/dz = db/dx + adb/dz, this equation may be regarded as defining

through an arbitrary point (x0, y0, z0) of three-dimensioned space

(about which a, b are developable) a plane, namely, z - z0 = a0(x -

x0) + b0(y - y0), and therefore, through this arbitrary point [oo]^2

directions, namely, all those in the plane. If now there be a surface

z = [psi](x, y), satisfying dz = adz + bdy and passing through (x0,

y0, z0), this plane will touch the surface, and the operations of

passing along the surface from (x0, y0, z0) to

(x0 + dx0, y0, z0 + dz0)

and then to (x0 + dx0, y0 + dy0, Z0 + d^1z0), ought to lead to the same

value of d^1z0 as do the operations of passing along the surface from

(x0, y0, z0) to (x0, y0 + dy0, z0 + [delta]z0), and then to

(x_ + dx_ , y_ + dy_ , Z_ + [delta]^1z_ ),

0 0 0 0 0 0

namely, [delta]^1z0 ought to be equal to d^1z0. But we find

d^1z0 = a0dx0 + b(x0 + dx0 , y0, z0 + a0dx0)dy0 =

/db db \

a0dx0 + b0dy0 + dx0dy0( --- + a0--- ),

\dx0 dz0/

and so at once reach the condition of integrability. If now we put x

= x0 + t, y = y0 + mt, and regard m as constant, we shall in fact be

considering the section of the surface by a fixed plane y - y0 = m(x -

x0); along this section dz = dt(a + bm); if we then integrate the

equation dx/dt = a + bm, where a, b are expressed as functions of m

and t, with m kept constant, finding the solution which reduces to z0

for t = 0, and in the result again replace m by (y - y0)/(x - x0), we

shall have the surface in question. In the general case the equations

dx_j - c_1j dx1 + ... c_rj dx_r

similarly determine through an arbitrary point x1^0, ... xn^0 a planar

manifold of r dimensions in space of n dimensions, and when the

conditions of integrability are satisfied, every direction in this

manifold through this point is tangent to the manifold of r

dimensions, expressed by [omega]_r+1 = x_r+1^0, ... [omega]_n = x_n^0,

which satisfies the equations and passes through this point. If we put

x1 = x1^0 = t, x2 = x2^0 = m2t, ... xr = xr^0 = mrt, and regard m2,

... mr as fixed, the (n-r) total equations take the form dx_j/dt =

c_1j + m2c_2j + ... + m_rc_rj, and their integration is equivalent to

that of the single partial equation

n

df/dt + [Sigma](c_1j + m2c_2j + ... + m_rc_rj)df/dx_j = 0

j=r+1

in the n - r + 1 variables t, xr+1, ... xn. Determining the solutions

[Omega]_r+1, ... [Omega]_n which reduce to respectively x_r+1, ... x_n

when t = 0, and substituting t = x1 - x1^0, m2 = (x2 - x2^0)/(x1 -

x1^0), ... mr = (xr - xr^0)/(x1 - x1^0), we obtain the solutions of

the original system of partial equations previously denoted by

[omega]_r+1, ... [omega]_n. It is to be remarked, however, that the

presence of the fixed parameters m2, ... mr in the single integration

may frequently render it more difficult than if they were assigned

numerical quantities.

Pfaffian Expressions.

Encyclopaedia Britannica, 11th Edition, "Diameter" to "Dinarchus" Volume 8, Slice 4 · 第 46 / 86 题