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matlab
8 months ago
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syms x y C
% Define M(x, y) and N(x, y)
M = x^2 + y;
N = x- 2*y;
% Compute partial derivatives
dM_dy = diff(M, y); % ∂M/∂y
dN_dx = diff(N, x); % ∂N/∂x
% Check for exactness
if simplify(dM_dy - dN_dx) == 0
fprintf('The given differential equation is exact.\n');
% Solve for the potential function F(x, y)
F_x = int(M, x); % Integrate M with respect to x
F_y = int(N, y); % Integrate N with respect to y
% Convert symbolic results to strings for comparison
f2_content = char(F_x);
f3_content = char(F_y);
% Compare the lengths of the function definitions
if length(f2_content) > length(f3_content)
F = F_x;
else
F = F_y;
end
% Display the general solution F(x, y) = C
fprintf('General solution:\n');
disp(F == C);
else
fprintf('The given differential equation is NOT exact.\n');
% Finding an integrating factor
f_1 = simplify((dM_dy - dN_dx)/N);
f_2 = simplify(-(dM_dy - dN_dx)/M);
vars_1 = symvar(f_1);
vars_2 = symvar(f_2);
dependency =0;
if ismember(sym('x'), vars_1) && ~ismember(sym('y'), vars_1)
dependency = 0; %depends only on x
elseif ismember(sym('y'), vars_2) && ~ismember(sym('x'), vars_2)
dependency = 1;
else
dependency = 2;
end
if dependency == 2 %depends only on y
mu = exp(int(f_2, y));
elseif dependency ==0 % Depends only on x
mu = exp(int(f_1, x));
end
M_new = simplify(mu * M);
N_new = simplify(mu * N);
% Check if the new equation is exact
dM_dy_new = simplify(diff(M_new, y));
dN_dx_new = simplify(diff(N_new, x));
if simplify(dM_dy_new - dN_dx_new) == 0
disp(['mu = ', char(mu)]);
fprintf('Now the given differential equation is exact.\n');
% Solve for the potential function F(x, y)
F_x_2 = int(M_new, x);
F_y_2 = int(N_new, y);
% Convert symbolic results to strings for comparison
f4_content = char(F_x_2);
f5_content = char(F_y_2);
% Compare the lengths of the function definitions
if length(f4_content) > length(f5_content)
F = F_x_2;
else
F = F_y_2;
end
% Display the general solution F(x, y) = C
fprintf('General solution:\n');
disp(F == C);
else
fprintf('S.et knk\n');
end
end
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