Finding Coefficients for the particular solution
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Tashanda Rayne
am 18 Okt. 2023
Kommentiert: Walter Roberson
am 22 Okt. 2023
I have this code for the homogenous portion of the equation but I need help trying to find the particular part. I am trying to avoid using any ODE functions
%Equation: y'' +3y'+3.25y = 3cos(x)-1.5sin(x)
format long
Coefa = 1;
Coefb = 3;
Coefc = 3.25;
x0 = 0; x1 = 25; Yin = -25, Yder = 4,
B = [Yin,Yder]; N = 1000;
x = linspace(0,25,N);
y = zeros(1,N);
R = zeros(1,2);
R = SecondOderODE1(Coefa,Coefb, Coefc);
if abs(R(1)-R(2))>=1/10^6
A = [exp(R(1)*x0),exp(R(2)*x0); exp(x0*R(1))*R(1), R(2)*exp(x0*R(2))];;
C = B./A
for i = 1:1:N
y(i) = real(C(1)*x(i)^R(1)+C(2)*x(i)^R(2));
figure(1)
plot (x,y)
xlabel ('x')
ylabel('y')
grid on
end
else
A = [x0^R(1), R(1)*x0^(R(1)-1); x0^R(2), log(x0)*(x0^(R(2)-1))];
C = B./A
for i = 1:1:N
y(i) = real(C(1)*x(i)^R(1)+log(abs(x(i)))*C(2)*x(i)^R(2));
end
end
figure(1)
plot(x,y)
xlabel ('x')
ylabel('y')
grid on
0 Kommentare
Akzeptierte Antwort
David Goodmanson
am 18 Okt. 2023
Bearbeitet: David Goodmanson
am 18 Okt. 2023
Hi Tashanda,
let u and v be 2x1 vectors with the coefficient of cos as first element, coefficient of sine as second element, and M*u = v.
M = -eye(2,2) +3*[0 1;-1 0] + 3.25*eye(2,2) % since c'= -s s'= c
v = [3;-3/2] % right hand side
u = M\v % particular solution
u =
0.8000 % .8 cos(x) + .4 sin(x)
0.4000
2 Kommentare
Walter Roberson
am 18 Okt. 2023
This matches the main part of the symbolic solution, without the constants of integration terms needed to account for any boundary conditions.
Weitere Antworten (1)
Walter Roberson
am 18 Okt. 2023
% y'' +3y'+3.25y = 3cos(x)-1.5sin(x)
syms y(x)
dy = diff(y);
d2y = diff(dy);
eqn = d2y + 3*dy + 3.25 * y == 3*cos(x) - 1.5*sin(x)
sympref('abbreviateoutput', false);
sol = dsolve(eqn)
simplify(sol, 'steps', 50)
4 Kommentare
Walter Roberson
am 22 Okt. 2023
% y'' +3y'+3.25y = 3cos(x)-1.5sin(x)
syms y(x)
dy = diff(y);
d2y = diff(dy);
eqn = d2y + 3*dy + 3.25 * y == 3*cos(x) - 1.5*sin(x)
sympref('abbreviateoutput', false);
ic = [y(0) == -25, dy(0) == 4]
sol = dsolve(eqn, ic)
sol = simplify(sol, 'steps', 50)
%cross-check
subs(eqn, y, sol)
simplify(ans)
%numeric form
[eqs,vars] = reduceDifferentialOrder(eqn,y(x))
[M,F] = massMatrixForm(eqs,vars)
f = M\F
odefun = odeFunction(f,vars)
initConditions = [-25 4];
ode15s(odefun, [0 10], initConditions)
So the function stored in odefun is what you would need to to process the system numerically
odefun(x, [y(x); dy(x)])
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