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1 It is noteworthy that many nonlinear partial differential equations that are not reducible to linear equations have exact solutions of the form 15.6.1.1 as well.. Main idea: The funct

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Here, for simplicity, the formulas are written out for the case of a second-order differential operator For higher-order operators, the right-hand sides of relations (15.5.5.18) will

contain higher-order derivatives of ϕi The functionals and functions Φ1(X), , Φk(X),

ϕ1(x), , ϕn(x) together are assumed to be linearly independent, and the Aj(C) are

linearly independent functions of C1, , Cn.

The basis functions are determined by solving the (usually overdetermined) system of ordinary differential equations

Φj x , ϕ1, ϕ1, ϕ1, , ϕn, ϕ n, ϕ n

= pj,1ϕ1+ pj,2ϕ2+ · · · + pj,nϕn, j = 1 , , k,

(15 5 5 19 )

where pj,i are some constants independent of the parameters C1, , Cn If for some

collection of the constants pi,j, system (15.5.5.19) is solvable (in practice, it suffices to find

a particular solution), then the functions ϕi= ϕi(x) define a linear subspace invariant under

the nonlinear differential operator (15.5.5.2) In this case, the functions appearing on the right-hand side of (15.5.5.4) are given by

fi(C1, , Cn) = p1 ,iA1(C1, , Cn) + p2 ,iA2(C1, , Cn) + · · ·

+ pk,iAk(C1, , Cn) + Bi(C1, , Cn).

Remark The analysis of nonlinear differential operators is useful to begin with looking for two-dimensional invariant subspaces of the form 2={1, ϕ(x)}

Proposition 1 Let a nonlinear differential operator F [w] admit a two-dimensional

invariant subspace of the form 2= {1 , ϕ(x) } , where ϕ(x) = pϕ1(x) + qϕ2(x), p and q are

arbitrary constants, and the functions 1 , ϕ1(x), ϕ2(x) are linearly independent Then the operator F [w] also admits a three-dimensional invariant subspace 2= {1 , ϕ1(x), ϕ2(x) }

Proposition 2 Let two nonlinear differential operators F1[w] and F2[w] admit one

and the same invariant subspace n = { ϕ1(x), , ϕn(x) } Then the nonlinear operator

pF1[w] + qF2[w], where p and q are arbitrary constants, also admits the same invariant

subspace.

Example 3 Consider the nonlinear differential operator (15.5.5.8) We look for its invariant subspaces of

the form 2={1, ϕ(x)} We have

F [C1 + C2 ϕ (x)] = C2[(ϕ  x)2+ kϕ2] + C2 aϕ  xx + kC2+ bC1 + c + (bC2+2kC1C2)ϕ.

Here, Φ1(X) = (ϕ

x)2 + kϕ2 and Φ2(X) = aϕ

xx Hence, the basis function ϕ(x) is determined by the

overdetermined system of ordinary differential equations

(ϕ  x)2+ kϕ2= p1 + p2 ϕ,

ϕ  xx = p3+ p4ϕ, (15.5.5.20)

where p1 = p1, 1, p2= p1, 2, p3= p2, 1/a , and p4= p2, 2/a Let us investigate system (15.5.5.20) for consistency

To this end, we differentiate the first equation with respect to x and then divide by ϕ  x to obtain ϕ  xx =

–kϕ + p2/2 Using this relation to eliminate the second derivative from the second equation in (15.5.5.20), we

get (p4 + k)ϕ + p3–12p2=0 For this equation to be satisfied, the following identities must hold:

p4= –k, p3= 12p2 (15.5.5.21) The simultaneous solution of system (15.5.5.20) under condition (15.5.5.21) is given by

ϕ (x) = px2+ qx if k =0 (p1= q2, p2=4p),

ϕ (x) = p sin x √

k

+ q cos x √

k

if k >0 (p1 = kp2+ kq2, p2=0),

ϕ (x) = p sinh x √

–k

+ q cosh x √

–k

if k <0 (p1= –kp2+ kq2, p2=0),

(15.5.5.22)

where p and q are arbitrary constants.

Since formulas (15.5.5.22) involve two arbitrary parameters p and q, it follows from Proposition 1 that the

nonlinear differential operator (15.5.5.8) admits the following invariant subspaces:

 3=5

1, x, x26

if k =0,

 3=5

1, sin(x√ k ), cos(x √

k)6

if k >0,

3=5

1, sinh(x√ –k ), cosh(x √

–k )6

if k <0

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15.6 Method of Functional Separation of Variables

15.6.1 Structure of Functional Separable Solutions Solution by

Reduction to Equations with Quadratic Nonlinearities

15.6.1-1 Structure of functional separable solutions.

Suppose a nonlinear equation for w = w(x, y) is obtained from a linear mathematical physics equation for z = z(x, y) by a nonlinear change of variable w = F (z) Then, if the linear equation for z admits separable solutions, the transformed nonlinear equation for w will

have exact solutions of the form

w (x, y) = F (z), where z =

n



m=1

ϕm(x)ψm(y). (15. 6 1 1 )

It is noteworthy that many nonlinear partial differential equations that are not reducible

to linear equations have exact solutions of the form (15.6.1.1) as well We will call such

solutions functional separable solutions In general, the functions ϕm(x), ψm(y), and F (z)

in (15.6.1.1) are not known in advance and are to be identified.

Main idea: The functional differential equation resulting from the substitution of

(15.6.1.1) in the original partial differential equation should be reduced to the standard bilinear functional equation (15.5.1.3) or to a functional differential equation of the form (15.5.1.3)–(15.5.1.4), and then the results of Subsections 15.5.3–15.5.5 should be used.

Remark The function F (z) can be determined by a single ordinary differential equation or by an

overde-termined system of equations; both possibilities must be taken into account

15.6.1-2 Solution by reduction to equations with quadratic (or power) nonlinearities.

In some cases, solutions of the form (15.6.1.1) can be searched for in two stages First, one looks for a transformation that would reduce the original equation to an equation with a quadratic (or power) nonlinearity Then the methods outlined in Subsections 15.5.3–15.5.5 are used for finding solutions of the resulting equation.

Table 15.5 gives examples of nonlinear heat equations with power, exponential, and

logarithmic nonlinearities reducible, by simple substitutions of the form w = F (z), to

quadratically nonlinear equations For these equations, it can be assumed that the form of

the function F (z) in solution (15.6.1.1) is given a priori.

15.6.2 Special Functional Separable Solutions Generalized

Traveling-Wave Solutions

15.6.2-1 Special functional separable and generalized traveling-wave solutions.

To simplify the analysis, some of the functions in (15.6.1.1) can be specified a priori and

the other functions will be defined in the analysis We call such solutions special functional separable solutions.

A generalized separable solution (see Section 15.5) is a functional separable solution of

the special form corresponding to F (z) = z.

Below we consider two simplest functional separable solutions of special forms:

w = F (z), z = ϕ1(x)y + ϕ2(x);

w = F (z), z = ϕ(x) + ψ(y). (15. 6 2 1 )

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TABLE 15.5 Some nonlinear heat equations reducible to quadratically nonlinear equations by a transformation of the form

w = F (z); the constant σ is expressed in terms of the coefficients of the transformed equation

Original equation Transformation Transformed equation Form of solutions

∂w

∂t = a ∂x ∂ w n ∂w ∂x

+ bw + cw1–n w = z1/n ∂z ∂t = az ∂ ∂x2z2 +a n ∂z ∂x 2

+ bnz + cn z = ϕ(t)x

2+ ψ(t)x + χ(t)

∂w

∂t = a ∂x ∂ w n ∂w ∂x

+ bw n+1+ cw w = z

1/n ∂z ∂t = az ∂ ∂x2z2 +a n ∂z ∂x 2

+ bnz2+ cnz

z = ϕ(t)e σx + ψ(t)eσx + χ(t)

z = ϕ(t) sin(σx) + ψ(t) cos(σx) + χ(t)

∂w

∂t = a ∂x ∂ e λw ∂w ∂x

+ b + ceλw w= λ1 ln z ∂z ∂t = az ∂ ∂x2z2 + bλz + cλ z = ϕ(t)x2+ ψ(t)x + χ(t)

∂w

∂t = a ∂x ∂ e λw ∂w ∂x

+ be λw + c w=

1

λ ln z ∂z

∂t = az ∂ ∂x2z2 + bz2+ cλz z = ϕ(t)e σx + ψ(t)e

σx + χ(t)

z = ϕ(t) sin(σx) + ψ(t) cos(σx) + χ(t)

∂w

∂t = a ∂ ∂x2w2

+ bw ln w + cw w = e

z ∂z ∂t = a ∂ ∂x2z2 + a ∂z ∂x 2

+ bz + c z = ϕ(t)x

2+ ψ(t)x + χ(t)

∂w

∂t = a ∂ ∂x2w2

+ bw ln2w + cw w = e

z ∂z ∂t = a ∂ ∂x2z2 + a ∂z ∂x 2

+ bz2+ c

z = ϕ(t)e σx + ψ(t)eσx + χ(t)

z = ϕ(t) sin(σx) + ψ(t) cos(σx) + χ(t)

The first solution (15.6.2.1) will be called a generalized traveling-wave solution (x and y

can be swapped) After substituting this solution into the original equation, one should

eliminate y with the help of the expression for z This will result in a functional differential equation with two arguments, x and z Its solution may be obtained with the methods

outlined in Subsections 15.5.3–15.5.5.

Remark 1 In functional separation of variables, searching for solutions in the forms w = F ϕ (x) + ψ(y)

[it is the second solution in (15.6.2.1)] and w = F ϕ (x)ψ(y)

leads to equivalent results because the two

forms are functionally equivalent Indeed, we have F ϕ (x)ψ(y)

= F1 ϕ1(x) + ψ1(y)

, where F1(z) = F (e z),

ϕ1(x) = ln ϕ(x), and ψ1(y) = ln ψ(y).

Remark 2 In constructing functional separable solutions with the form w = F ϕ (x) + ψ(y)

[it is the

second solution in (15.6.2.1)], it is assumed that ϕconst and ψconst

Example 1 Consider the third-order nonlinear equation

∂w

∂y

2w

∂x∂y∂w

∂x

2w

∂y2 = a



2w

∂y2

n–1

3w

∂y3,

which describes a boundary layer of a power-law fluid on a flat plate; w is the stream function, x and y are coordinates along and normal to the plate, and n is a rheological parameter (the value n =1corresponds to a Newtonian fluid) Searching for solutions in the form

w = w(z), z = ϕ(x)y + ψ(x) leads to the equation ϕ  x (w z )2= aϕ2n (w  zz)n–1w zzz  , which is independent of ψ Separating the variables and

integrating yields

ϕ (x) = (ax + C)1/(1–2n), ψ (x) is arbitrary, and w = w(z) is determined by solving the ordinary differential equation (w z )2= (1–2n )(w  zz)n–1w  zzz

15.6.2-2 General scheme for constructing generalized traveling-wave solutions.

For visualization, the general scheme for constructing generalized traveling-wave solutions for evolution equations is displayed in Fig 15.3.

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Write out the functional differential equation in two arguments

Obtain (i) functional equation, (ii) determining system of ODEs

Solve the determining system of ordinary differential equations

Write out generalized traveling-wave solution of original equation

Search for generalizedtraveling-wavesolutions

Apply splitting procedure

Treat functional equation (i)

Figure 15.3 Algorithm for constructing generalized traveling-wave solutions for evolution equations

Abbre-viation: ODE stands for ordinary differential equation

Example 2 Consider the nonstationary heat equation with a nonlinear source

∂w

∂t =

2w

We look for functional separable solutions of the special form

w = w(z), z = ϕ(t)x + ψ(t). (15.6.2.3)

The functions w(z), ϕ(t), ψ(t), and F(w) are to be determined.

On substituting (15.6.2.3) into (15.6.2.2) and on dividing by w z , we have

ϕ  t x + ψ  t = ϕ2w



zz

w  z +F(w)

We express x from (15.6.2.3) in terms of z and substitute into (15.6.2.4) to obtain a functional differential equation with two variables, t and z:

–ψ t +ψ

ϕ ϕ



tϕ

 t

ϕ z + ϕ2w



zz

w z  +F(w)

w z  =0, which can be treated as the functional equation (15.5.4.4), where

Φ1 = –ψ  t+ψ

ϕ ϕ



t, Φ2= –ϕ

 t

ϕ, Φ3= ϕ2, Φ4 =1, Ψ1 =1, Ψ2= z, Ψ3= w



zz

w  z , Ψ4= F(w)

w z 

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Substituting these expressions into relations (15.5.4.5) yields the system of ordinary differential equations

–ψ t +ψ

ϕ ϕ



t = A1ϕ2+ A2, –ϕ  t

ϕ = A3ϕ2+ A4,

w  zz

w  z = –A1– A3z, F(w)

w z  = –A2– A4z,

(15.6.2.5)

where A1 , , A4are arbitrary constants

ϕ (t) =



C1e2A4tA3

A4

– 1/2 ,

ψ (t) = –ϕ(t)



A1



ϕ (t) dt + A2



dt

ϕ (t) + C2

 ,

w (z) = C3

 exp –12A3z2– A1 z

dz + C4,

F(w) = –C3(A4z + A2) exp –12A3z2– A1 z

,

(15.6.2.6)

where C1, , C4are arbitrary constants The dependenceF = F(w) is defined by the last two relations in

parametric form (z is considered the parameter) If A3 ≠ 0in (15.6.2.6), the source function is expressed in terms of elementary functions and the inverse of the error function

In the special case A3= C4=0, A1 = –1, and C3 =1, the source function can be represented in explicit form as

F(w) = –w(A4ln w + A2)

ϕ (t) = 1

2

A3t + C1, ψ (t) =

C2

2

A3t + C1

A1

A3 –3A A23(2A3t + C1), and the solutions to the other equations are determined by the last two formulas in (15.6.2.6) where A4=0 Remark The algorithm presented in Fig 15.3 can also be used for finding exact solutions of the more

general form w = σ(t)F (z) + ϕ1 (t)x + ψ2(t), where z = ϕ1 (t)x + ψ2(t) For an example of this sort of solution,

see Subsection 15.7.2 (Example 1)

15.6.3 Differentiation Method

15.6.3-1 Basic ideas of the method Reduction to a standard equation.

In general, the substitution of expression (15.6.1.1) into the nonlinear partial differential equation under study leads to a functional differential equation with three arguments—two

arguments are usual, x and y, and the third is composite, z In some cases, the resulting

equation can be reduced by differentiation to a standard functional differential equation

with two arguments (either x or y is eliminated) To solve the two-argument equation, one

can use the methods outlined in Subsections 15.5.3–15.5.5.

15.6.3-2 Examples of constructing functional separable solutions.

Below we consider specific examples illustrating the application of the differentiation method for constructing functional separable solutions of nonlinear equations.

Example 1 Consider the nonlinear heat equation

∂w

∂t =

∂x



F(w) ∂w

∂x



We look for exact solutions with the form

w = w(z), z = ϕ(x) + ψ(t). (15.6.3.2)

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On substituting (15.6.3.2) into (15.6.3.1) and dividing by w z , we obtain the functional differential equation with three variables

ψ  t = ϕ  xx F(w) + (ϕ 

where

H (z) = F(w) w zz 

w  z +F 

z (w), w = w(z). (15.6.3.4)

Differentiating (15.6.3.3) with respect to x yields

ϕ  xxx F(w) + ϕ 

x ϕ  xx[F 

z (w) +2H (z)] + (ϕ  x)3H z  =0 (15.6.3.5) This functional differential equation with two variables can be treated as the functional equation (15.5.4.2) This three-term functional equation has two different solutions Accordingly, we consider two cases

Case 1 The solutions of the functional differential equation (15.6.3.5) are determined from the system of

ordinary differential equations

F z +2H=2A1F, H z  = A2F,

ϕ  xxx+2A1ϕ  x ϕ  xx + A2(ϕ  x)3=0, (15.6.3.6)

where A1 and A2are arbitrary constants

The first two equations (15.6.3.6) are linear and independent of the third equation Their general solution

is given by

F =

e A1z (B1 e kz + B2 ekz) if A2>2A2,

e A1z (B1+ B2z) if A2=2A2,

e A1z [B1sin(kz) + B2cos(kz)] if A2<2A2,

H = A1F–1

2F 

z, k=

|A2–2A2| (15.6.3.7)

Substituting H of (15.6.3.7) into (15.6.3.4) yields an ordinary differential equation for w = w(z) On

integrating this equation, we obtain

w = C1



e A1z|F(z)|– 3/2dz + C2, (15.6.3.8)

where C1 and C2are arbitrary constants The expression ofF in (15.6.3.7) together with expression (15.6.3.8)

defines the functionF = F(w) in parametric form.

Without full analysis, we will study the case A2=0(k = A1 ) and A1 ≠ 0in more detail It follows from (15.6.3.7) and (15.6.3.8) that

F(z) = B1e2A1z + B2, H = A1 B2, w (z) = C3(B1 + B2 e–2A1z)–1/2+ C2 (C1 = A1 B2C3). (15.6.3.9)

Eliminating z yields

F(w) = B2C2

The last equation in (15.6.3.6) with A2 =0has the first integral ϕ  xx + A1(ϕ  x)2 = const The corresponding general solution is given by

ϕ (x) = – 1

2A1 ln



D2

D1

1 sinh2 A1

D2x + D3



for D1 >0 and D2>0,

ϕ (x) = – 1

2A1 ln

 –D2

D1

1 cos2 A1

–D2x + D3



for D1 >0 and D2<0,

ϕ (x) = – 1

2A1 ln

 –D2

D1

1 cosh2 A1

D2x + D3



for D1 <0 and D2>0,

(15.6.3.11)

where D1, D2, and D3are constants of integration In all three cases, the following relations hold:

(ϕ  x)2= D1e–2A1ϕ + D2, ϕ  xx = –A1D1e–2A1ϕ (15.6.3.12)

We substitute (15.6.3.9) and (15.6.3.12) into the original functional differential equation (15.6.3.3) With

reference to the expression of z in (15.6.3.2), we obtain the following equation for ψ = ψ(t):

ψ t  = –A1B1D1e2A1ψ + A1B2D2 Its general solution is given by

ψ (t) = 1

2A1 ln B2D2

D4exp(–2A2B2D2t ) + B1D1, (15.6.3.13)

where D4is an arbitrary constant

Formulas (15.6.3.2), (15.6.3.9) for w, (15.6.3.11), and (15.6.3.13) define three solutions of the nonlinear

equation (15.6.3.1) withF(w) of the form (15.6.3.10) [recall that these solutions correspond to the special case

A2=0in (15.6.3.7) and (15.6.3.8)]

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Case 2 The solutions of the functional differential equation (15.6.3.5) are determined from the system of

ordinary differential equations

ϕ  xxx = A1 (ϕ  x)3, ϕ  x ϕ  xx = A2 (ϕ  x)3,

A1F + A2(F 

z+2H ) + H z  =0 (15.6.3.14) The first two equations in (15.6.3.14) are compatible in the two cases

A1= A2=0 =⇒ ϕ(x) = B1 x + B2,

A1=2A2 =⇒ ϕ(x) = – 1

A2 ln|B1x + B2|. (15.6.3.15)

The first solution in (15.6.3.15) eventually leads to the traveling-wave solution w = w(B1 x + B2 t) of

equa-tion (15.6.3.1) and the second soluequa-tion to the self-similar soluequa-tion of the form w = w2(x2/t) In both cases, the functionF(w) in (15.6.3.1) is arbitrary.

Example 2 Consider the nonlinear Klein–Gordon equation

2w

∂t2 –

2w

We look for functional separable solutions in additive form:

w = w(z), z = ϕ(x) + ψ(t). (15.6.3.17) Substituting (15.6.3.17) into (15.6.3.16) yields

ψ  tt – ϕ  xx+

(ψ t )2– (ϕ  x)2

g (z) = h(z), (15.6.3.18) where

g (z) = w  zz /w z , h (z) = F w (z)

/w  z (15.6.3.19)

On differentiating (15.6.3.18) first with respect to t and then with respect to x and on dividing by ψ t  ϕ  x, we have

2(ψ

tt – ϕ  xx ) g z  +

(ψ  t)2– (ϕ  x)2

g zz = h  zz

Eliminating ψ  tt – ϕ  xxfrom this equation with the aid of (15.6.3.18), we obtain



(ψ t )2– (ϕ  x)2

(g  zz–2gg z  ) = h  zz–2g  z h (15.6.3.20) This relation holds in the following cases:

g zz–2gg  z=0, h  zz–2g  z h=0 (case 1),

(ψ  t)2= Aψ + B, (ϕ  x)2= –Aϕ + B – C, h  zz–2g z  h = (Az + C)(g zz  –2gg z ) (case 2), (15.6.3.21)

where A, B, and C are arbitrary constants We consider both cases.

Case 1 The first two equations in (15.6.3.21) enable one to determine g(z) and h(z) Integrating the first equation once yields g z  = g2+ const Further, the following cases are possible:

g= –1/ (z + C1), (15.6.3.22b)

g = –k tanh(kz + C1), (15.6.3.22c)

g = –k coth(kz + C1), (15.6.3.22d)

where C1and k are arbitrary constants.

The second equation in (15.6.3.21) has a particular solution h = g(z) Hence, its general solution is

expressed by [e.g., see Polyanin and Zaitsev (2003)]:

h = C2 g (z) + C3 g (z)



dz

where C2 and C3are arbitrary constants

The functions w(z) and F(w) are found from (15.6.3.19) as

w (z) = B1



G (z) dz + B2, F(w) = B1h (z)G(z), where G (z) = exp



g (z) dz

 , (15.6.3.24)

and B1and B2are arbitrary constants (F is defined parametrically).

... constant

Formulas (15.6.3.2), (15.6.3.9) for w, (15.6.3.11), and (15.6.3.13) define three solutions of the nonlinear

equation (15.6.3.1) withF(w) of the form (15.6.3.10)... D3



for D1 <0 and D2>0,

(15.6.3.11)

where D1, D2, and D3are constants of integration In all... traveling-wave solution w = w(B1 x + B2 t) of

equa-tion (15.6.3.1) and the second soluequa-tion to the self-similar soluequa-tion of the form w = w2(x2/t)

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