A homogeneous second-order linear difference equation defined on a discrete set of points x=0,1, 2,.. Let λ1and λ2be roots of the characteristic equation λ2+ aλ + b =0.. In the case of c
Trang 1T12.1.1-5 Linear equations involving unknown function with rational argument.
34. y(x) – y a – x
1 + bx
= 0.
Solution:
y (x) =Φx, a – x
1+ bx
, whereΦ(x, z) = Φ(z, x) is any symmetric function with two arguments.
35. y(x) + y a – x
1 + bx
= 0.
Solution:
y (x) =Φx, a – x
1+ bx
, whereΦ(x, z) = –Φ(z, x) is any antisymmetric function with two arguments.
36. y(x) + y a – x
1 + bx
= f (x).
The function f (x) must satisfy the condition f (x) = f a – x
1+ bx
Solution:
y (x) = 12f (x) +Φx, a – x
1+ bx
, whereΦ(x, z) = –Φ(z, x) is any antisymmetric function with two arguments.
37. y(x) – y a – x
1 + bx
= f (x).
Here, the function f (x) must satisfy the condition f (x) = –f a – x
1+ bx
Solution:
y (x) = 12f (x) +Φx, a – x
1+ bx
, whereΦ(x, z) = Φ(z, x) is any symmetric function with two arguments.
38. y(x) – cy a – x
1 + bx
= f (x), c ≠ 1.
Solution:
y (x) = 1
1– c2f (x) +
c
1– c2f
a – x
1+ bx
39. y(x) + g(x)y a – x
1 + bx
= f (x).
Solution:
y (x) = f (x) – g(x)f (z)
1– g(x)g(z) , z=
a – x
1+ bx.
40. y(x) + cy ax – β
x + b
= f (x), β = a2+ ab + b2
A special case of equation T12.1.2.12
Trang 241. y(x) + cy bx + β
a – x
= f (x), β = a2+ ab + b2
A special case of equation T12.1.2.12
42. y(x) + g(x)y ax – β
x + b
= f (x), β = a2+ ab + b2
A special case of equation T12.1.2.13
43. y(x) + g(x)y bx + β
a – x
= f (x), β = a2+ ab + b2
A special case of equation T12.1.2.13
T12.1.1-6 Linear functional equations involving y(x) and y a2– x2
44. y(x) – y a2– x2
= 0, 0≤x≤ a.
Solution:
y (x) =Φ x,
a2– x2
, whereΦ(x, z) = Φ(z, x) is any symmetric function with two arguments.
45. y(x) + y a2– x2
= 0, 0≤ x≤a.
Solution:
y (x) =Φ x,
a2– x2
, whereΦ(x, z) = –Φ(z, x) is any antisymmetric function with two arguments.
46. y(x) + y a2– x2
= b, 0 ≤x≤a.
Solution:
y (x) = 12b+Φ x,
a2– x2
, whereΦ(x, z) = –Φ(z, x) is any antisymmetric function with two arguments.
47. y(x) + y a2– x2
= f (x), 0 ≤x≤a.
Here, the function f (x) must satisfy the condition f (x) = f a2– x2
Solution:
y (x) = 12f (x) +Φ x,
a2– x2
, whereΦ(x, z) = –Φ(z, x) is any antisymmetric function with two arguments.
48. y(x) – y a2– x2
= f (x), 0 ≤x≤a.
Here, the function f (x) must satisfy the condition f (x) = –f a2– x2
Solution:
y (x) = 12f (x) +Φ x,
a2– x2
, whereΦ(x, z) = Φ(z, x) is any symmetric function with two arguments.
Trang 349. y(x) + g(x)y a2– x2
= f (x), 0 ≤x≤a.
Solution:
y (x) = f (x) – g(x)f a
2– x2
1– g(x)g a2– x2
T12.1.1-7 Linear functional equations involving y(sin x) and y(cos x).
50. y(sin x) – y(cos x) = 0.
Solution in implicit form:
y (sin x) = Φ(sin x, cos x),
whereΦ(x, z) = Φ(z, x) is any symmetric function with two arguments.
51. y(sin x) + y(cos x) = 0.
Solution in implicit form:
y (sin x) = Φ(sin x, cos x),
whereΦ(x, z) = –Φ(z, x) is any antisymmetric function with two arguments.
52. y(sin x) + y(cos x) = a.
Solution in implicit form:
y (sin x) = 12a+Φ(sin x, cos x),
whereΦ(x, z) = –Φ(z, x) is any antisymmetric function with two arguments.
53. y(sin x) + y(cos x) = f (x).
Here, the function f (x) must satisfy the condition f (x) = f π2 – x
Solution in implicit form:
y (sin x) = 12f (x) + Φ(sin x, cos x),
whereΦ(x, z) = –Φ(z, x) is any antisymmetric function with two arguments.
54. y(sin x) – y(cos x) = f (x).
Here, the function f (x) must satisfy the condition f (x) = –f π2 – x
Solution in implicit form:
y (sin x) = 12f (x) + Φ(sin x, cos x),
whereΦ(x, z) = Φ(z, x) is any symmetric function with two arguments.
55. y(sin x) + g(x)y(cos x) = f (x).
Solution in implicit form:
y (sin x) = f (x) – g(x)f
π
2 – x
1– g(x)g π2 – x
Trang 4T12.1.1-8 Other equations involving unknown function with two different arguments.
56. y(x a ) – by(x) = 0, a, b> 0.
Solution:
y (x) =|ln x|pΘ ln|ln x|
ln a
, p= ln b
ln a,
whereΘ(z) = Θ(z +1) is an arbitrary periodic function with period 1
ForΘ(z)≡const, we have a particular solution y(x) = C|ln x|p , where C is an arbitrary
constant
57. y(x) – y ω(x)
= 0, where ω ω(x)
= x.
Solution:
y (x) =Φ x , ω(x)
, whereΦ(x, z) = Φ(z, x) is any symmetric function with two arguments.
58. y(x) + y ω(x)
= 0, where ω ω(x)
= x.
Solution:
y (x) =Φ x , ω(x)
, whereΦ(x, z) = –Φ(z, x) is any antisymmetric function with two arguments.
59. y(x) + y ω(x)
= b, where ω ω(x)
= x.
Solution:
y (x) = 12b+Φ x , ω(x)
, whereΦ(x, z) = –Φ(z, x) is any antisymmetric function with two arguments.
60. y(x) + y ω(x)
= f (x), where ω ω(x)
= x.
Here, the function f (x) must satisfy the condition f (x) = f ω (x)
Solution:
y (x) = 12f (x) +Φ x , ω(x)
, whereΦ(x, z) = –Φ(z, x) is any antisymmetric function with two arguments.
61. y(x) – y ω(x)
= f (x), where ω ω(x)
= x.
Here, the function f (x) must satisfy the condition f (x) = –f ω (x)
Solution:
y (x) = 12f (x) +Φ x , ω(x)
, whereΦ(x, z) = Φ(z, x) is any symmetric function with two arguments.
62. y(x) + g(x)y ω(x)
= f (x), where ω ω(x)
= x.
Solution:
y (x) = f (x) – g(x)f ω (x)
1– g(x)g ω (x)
Trang 5T12.1.2 Other Linear Functional Equations
T12.1.2-1 Second-order linear difference equations
1. y n+2 + ay n+1 + by n= 0.
A homogeneous second-order linear difference equation defined on a discrete set of points
x=0,1, 2, Notation adopted: y n = y(n).
Let λ1and λ2be roots of the characteristic equation
λ2+ aλ + b =0
1◦ If λ1≠λ2, the general solution of the difference equation has the form
y n = y1λ
n
1 – λ n2
λ1– λ2 – y0b
λ n–1
1 – λ n–2 1
λ1– λ2 ,
where y1and y0are arbitrary constants, equal to the values of y at the first two points.
In the case of complex conjugate roots, one should separate the real and imaginary parts
in the above solution
2◦ If λ1= λ2, the general solution of the difference equation is given by
y n = y1nλ n–1
1 – y0b (n –1)λ n–1 2
2. y n+2 + ay n+1 + by n = f n.
A nonhomogeneous second-order linear difference equation defined on a discrete set of
points x =0,1, 2, Notation adopted: y n = y(n).
Let λ1and λ2be roots of the characteristic equation
λ2+ aλ + b =0
1◦ If λ1≠λ2, the general solution of the difference equation has the form
y n = y1λ
n
1 – λ n2
λ1– λ2 – y0b
λ n–1
1 – λ n–2 1
λ1– λ2 +
n
k=2
f n–k
λ k–1
1 – λ k–2 1
λ1– λ2 , where y1and y0are arbitrary constants, equal to the values of y at the first two points.
In the case of complex conjugate roots, one should separate the real and imaginary parts
in the above solution
2◦ If λ1= λ2, the general solution of the difference equation is given by
y n = y1nλ n–1
1 – y0b (n –1)λ n–1 2+
n
k=2
f n–k (k –1)λ k–1 2
3◦ In boundary value problems, a finite set of points x =0,1, , N is often taken and the initial and final values of the unknown function, y0and y N, are prescribed It is required to
find the y n≡y (x)|x=nfor1 ≤n≤N–1
If λ1 ≠λ2, the solution is given by
y n = y0λ
N
1 λ n2 – λ n1λ N2
λ N
1 – λ N2
+ y N λ
n
1 – λ n2
λ N
1 – λ N2 +
n
k=2
f n–k
λ k–1
1 – λ k–2 1
λ1– λ2 –
λ n
1 – λ n2
λ N
1 – λ N2
N
k=2
f N–k
λ k–1
1 – λ k–2 1
λ1– λ2 .
For n =1, the first sum is zero
Trang 63. y(x + 2) + ay(x + 1) + by(x) = 0.
A homogeneous second-order constant-coefficient linear difference equation.
Let us write out the characteristic equation:
Consider the following cases
1◦ The roots λ1and λ2of the quadratic equation (1) are real and distinct Then the general
solution of the original finite-difference equation has the form
y (x) =Θ1(x)λ x1 +Θ2(x)λ x2, (2) where Θ1(x) and Θ2(x) are arbitrary periodic functions with period 1, that is, Θk (x) =
Θk (x +1), k =1, 2
ForΘk≡const, formula (2) gives particular solutions
y (x) = C1λ x
1 + C2λ x
2,
where C1and C2are arbitrary constants
2◦ The quadratic equation (1) has equal roots: λ = λ1 = λ2 In this case, the general
solution of the original functional equation is given by
y= Θ1(x) + xΘ2(x)
λ x.
3◦ In the case of complex conjugate roots, λ = ρ(cos β i sin β), the general solution of
the original functional equation is expressed as
y =Θ1(x)ρ x cos(βx) +Θ2(x)ρ x sin(βx),
whereΘ1(x) andΘ2(x) are arbitrary periodic functions with period 1.
4. y(x + 2) + ay(x + 1) + by(x) = f (x).
A nonhomogeneous second-order constant-coefficient linear difference equation.
1◦ Solution:
y (x) = Y (x) + ¯y(x), where Y (x) is the general solution of the corresponding homogeneous equation Y (x +2) +
aY (x +1) + bY (x) =0(see the previous equation), and¯y(x) is any particular solution of the
nonhomogeneous equation
2◦ For f (x) = n
k=0A k x
n and a + b +1 ≠ 1, the nonhomogeneous equation has a
partic-ular solution of the form ¯y(x) = n
k=0B k x
n ; the constants B
k are found by the method of
undetermined coefficients
3◦ For f (x) =n
k=1A k exp(λ k x), the nonhomogeneous equation has a particular solution of the form¯y(x) =n
k=1B k exp(λ k x ); the constants B kare found by the method of undetermined coefficients
Trang 74◦ For f (x) = n
k=1A k cos(λ k x), the nonhomogeneous equation has a particular solution of the form¯y(x) = n
k=1B k cos(λ k x) +
n
k=1D k sin(λ k x ); the constants B k and D k are found by the method of undetermined coefficients
5◦ For f (x) = n
k=1A k sin(λ k x), the nonhomogeneous equation has a particular solution of the form¯y(x) = n
k=1B k cos(λ k x) +
n
k=1D k sin(λ k x ); the constants B k and D k are found by the method of undetermined coefficients
5. y(x + 2) + a(x + 1)y(x + 1) + bx(x + 1)y(x) = 0.
This functional equation has particular solutions of the form
y (x; λ) =
∞
0 t
where λ is a root of the square equation
For the integral on the right-hand side of (1) to converge, the roots of equation (2) that satisfy
the condition Re λ >0should be selected If both roots, λ1and λ2, meet this condition, the general solution of the original functional equation is expressed as
y (x) =Θ1(x)y(x, λ1) +Θ2(x)y(x, λ2), whereΘ1(x) andΘ2(x) are arbitrary periodic functions with period 1.
T12.1.2-2 Linear equations involving composite functions y y (x)
or y y (y(x))
6. y y(x)
= 0.
Solution:
y (x) =
ϕ
1(x) for x≤a,
0 for a≤x≤b,
ϕ2(x) for b≤x,
where a ≤ 0 and b≥ 0 are arbitrary numbers; ϕ1(x) and ϕ2(x) are arbitrary continuous
functions satisfying the conditions
ϕ1(a) =0, a≤ϕ1(x)≤b if x≤a;
ϕ2(b) =0, a≤ϕ2(x)≤b if b≤x
7. y y(x)
– x = 0.
Babbage equation or the equation of involutory functions It is a special case of
equa-tion T12.1.2.21
1◦ Particular solutions:
y1(x) = x, y2(x) = C – x, y3(x) = C
x, y4(x) = C1– x
1+ C2x,
where C, C1, C2are arbitrary constants
... boundary value problems, a finite set of points x =0,1, , N is often taken and the initial and final values of the unknown function, y0and y N, are prescribed... λ1and λ2of the quadratic equation (1) are real and distinct Then the generalsolution of the original finite-difference equation has the form
y... y1and y0are arbitrary constants, equal to the values of y at the first two points.
In the case of complex conjugate roots, one should separate the real and imaginary