Sun Jan 3 23:51:19 MET 1999
REDUCE 3.7, 15-Jan-99 ...
1: 1:
2: 2: 2: 2: 2: 2: 2: 2: 2:
3: 3: % Tests and demonstrations for the odesolve package
% First some tests of the testdf module
algebraic procedure showode();
<<write "order is ", odeorder, " and degree is ", odedegree;
write "linearity is ", odelinearity," and highestderiv is ",
highestderiv>>;
showode
depend y,x$
ode1 := df(y,x);
ode1 := df(y,x)
sortoutode(ode1, y, x)$
showode()$
order is 1 and degree is 1
linearity is 1 and highestderiv is df(y,x)
sortoutode(ode1**2,y,x)$
showode() $
order is 1 and degree is 2
linearity is 2 and highestderiv is df(y,x)
sortoutode(e**ode1,y,x) $
showode() $
order is 1 and degree is 0
df(y,x)
linearity is e and highestderiv is df(y,x)
sortoutode(df(y,x)*df(y,x,2),y,x) $
showode() $
order is 2 and degree is 1
linearity is 2 and highestderiv is df(y,x,2)
nodepend y,x $
depend z,w $
sortoutode(df(z,w,2)+3*z*df(z,w)+e**z,z,w) $
showode() $
order is 2 and degree is 1
z
linearity is e and highestderiv is df(z,w,2)
nodepend z,w $
% ******************************************
% Next some tests for first-order differential equations
depend y,x $
% Just to test tracing
on trode $
% First-order quadrature case
ode := df(y,x) - x**2 - e**x;
x 2
ode := df(y,x) - e - x
odesolve(ode, y, x);
This first-order ODE can be solved by quadrature
x 3
3*arbconst(1) + 3*e + x
{y=---------------------------}
3
% A first-order linear equation, with an initial condition
ode:=df(y,x) + y * sin x/cos x - 1/cos x;
cos(x)*df(y,x) + sin(x)*y - 1
ode := -------------------------------
cos(x)
ans:=odesolve(ode,y,x);
This is a first-order linear ODE solved by the integrating factor method
ans := {y=arbconst(2)*cos(x) + sin(x)}
% Note that arbconst is declared as an operator
% The initial condition is y = 1 at x = 0 so we do...
arbconst(!!arbconst)
:= sub(y=1,x=0,rhs first solve(ans,arbconst(!!arbconst)));
arbconst(2) := 1
ans;
{y=cos(x) + sin(x)}
clear arbconst(!!arbconst) $
% A simple separable case
ans := odesolve(df(y,x) - y**2,y,x);
This is a first-order separable ODE
arbconst(3)*y - x*y - 1
ans := {-------------------------=0}
y
% We can improve this by
solve(ans,y);
1
{y=-----------------}
arbconst(3) - x
nodepend y,x $
% A separable case, in different variables, with an initial condition
depend z,w $
ode:= (1-z**2)*w*df(z,w)+(1+w**2)*z;
2 2
ode := - df(z,w)*w*z + df(z,w)*w + w *z + z
% Assign the answer so we can input the condition (z = 2 at w = 1/2)
ans:=odesolve(ode,z,w);
This is a first-order separable ODE
2 2
2*arbconst(4) - 2*log(w) - 2*log(z) - w + z
ans := {-----------------------------------------------=0}
2
% To tidy up the answer we will get for the constant we use
for all x let log(x)+log(1/x)=0 $
arbconst(!!arbconst) := sub(z=2,w=1/2,
rhs first solve(ans,arbconst(!!arbconst)));
- 15
arbconst(4) := -------
8
ans;
2 2
- 8*log(w) - 8*log(z) - 4*w + 4*z - 15
{-------------------------------------------=0}
8
clear arbconst(!!arbconst) $
nodepend z,w $
% Now a homogeneous one
depend y,x $
ode:=df(y,x) - (x-y)/(x+y);
df(y,x)*x + df(y,x)*y - x + y
ode := -------------------------------
x + y
% To make this look decent...
for all x,w let e**((log x)/w)=x**(1/w),
(sqrt w)*(sqrt x)=sqrt(w*x) $
ans := odesolve(ode,y,x);
This is a first-order ODE of algebraically homogeneous type
solved by change of variables y = vx method
2 2
ans := {arbconst(5) + sqrt( - x + 2*x*y + y )=0}
% Reducible to homogeneous
% Note this is the previous example with origin shifted
ode:=df(y,x) - (x-y-3)/(x+y-1);
df(y,x)*x + df(y,x)*y - df(y,x) - x + y + 3
ode := ---------------------------------------------
x + y - 1
ans := odesolve(ode,y,x);
This is a first-order ODE reducible to homogeneous type
solved by shifting the origin
2 2
ans := {arbconst(6) + sqrt( - x + 2*x*y + 6*x + y - 2*y - 7)=0}
% and the special case of reducible to homogeneous
ode:=df(y,x)-(2*x+3*y+1)/(4*x+6*y+1);
4*df(y,x)*x + 6*df(y,x)*y + df(y,x) - 2*x - 3*y - 1
ode := -----------------------------------------------------
4*x + 6*y + 1
ans := odesolve(ode,y,x);
This is a first-order ODE reducible to homogeneous type
belonging to the special case where top and bottomare parallel lines
solved by new variable and separation
49*arbconst(7) - 3*log(14*x + 21*y + 5) - 21*x + 42*y
ans := {-------------------------------------------------------=0}
49
% To tidy up the next one we need
for all x,w let e**(log x + w) = x*e**w,
e**(w*log x)=x**w $
% a Bernoulli equation
ode:=x*(1-x**2)*df(y,x) + (2*x**2 -1)*y - x**3*y**3;
3 3 3 2
ode := - df(y,x)*x + df(y,x)*x - x *y + 2*x *y - y
odesolve(ode,y,x);
This is a first-order ODE of Bernoulli type
5
1 5*arbconst(8) + 2*x
{----=----------------------}
2 4 2
y 5*x - 5*x
% and finally, in this set, an exact case
ode:=(2*x**3 - 6*x*y + 6*x*y**2) + (-3*x**2 + 6*x**2*y - y**3)*df(y,x);
2 2 3 3 2
ode := 6*df(y,x)*x *y - 3*df(y,x)*x - df(y,x)*y + 2*x + 6*x*y - 6*x*y
odesolve(ode,y,x);
This is an exact first order ODE
4 2 2 2 4
{4*arbconst(9) + 2*x + 12*x *y - 12*x *y - y =0}
% ******************************************
% Now for higher-order linear equations with constant coefficients
% First, examples without driving terms
% A simple one to start
ode:=6*df(y,x,2)+df(y,x)-2*y;
ode := 6*df(y,x,2) + df(y,x) - 2*y
odesolve(ode,y,x);
This is a linear ODE with constant coefficients of order 2
(7*x)/6
arbconst(11) + e *arbconst(10)
{y=--------------------------------------}
(2*x)/3
e
% An example with repeated and complex roots
ode:=df(y,x,4)+2*df(y,x,2)+y;
ode := df(y,x,4) + 2*df(y,x,2) + y
odesolve(ode,y,x);
This is a linear ODE with constant coefficients of order 4
{y= - arbconst(15)*sin(x)*x + arbconst(14)*cos(x)*x - arbconst(13)*sin(x)
+ arbconst(12)*cos(x)}
% A simple right-hand-side using the above example;
% It will need the substitution
for all w let (sin w)**2 + (cos w)** 2 = 1 $
ode:=ode-exp(x);
x
ode := df(y,x,4) + 2*df(y,x,2) - e + y
odesolve(ode,y,x);
This is a linear ODE with constant coefficients of order 4
{y=( - 4*arbconst(19)*sin(x)*x + 4*arbconst(18)*cos(x)*x - 4*arbconst(17)*sin(x)
x
+ 4*arbconst(16)*cos(x) + e )/4}
ode:=df(y,x,2)+4*df(y,x)+4*y-x*exp(x);
x
ode := df(y,x,2) + 4*df(y,x) - e *x + 4*y
ans:=odesolve(ode,y,x);
This is a linear ODE with constant coefficients of order 2
3*x 3*x
27*arbconst(21)*x + 27*arbconst(20) + 3*e *x - 2*e
ans := {y=---------------------------------------------------------}
2*x
27*e
% At x=1 let y=0 and df(y,x)=1
ans2 := solve({first ans, 1 = df(rhs first ans, x)},
{arbconst(!!arbconst-1),arbconst(!!arbconst)});
2*x x 2 x x
e *(9*e *x - 6*e *x + 2*e - 54*x*y - 27*x + 27*y)
ans2 := {{arbconst(20)=-------------------------------------------------------,
27
2*x x x
e *( - 3*e *x + e + 18*y + 9)
arbconst(21)=----------------------------------}}
9
arbconst(!!arbconst -1) := sub(x=1,y=0,rhs first first ans2);
2
e *(5*e - 27)
arbconst(20) := ---------------
27
arbconst(!!arbconst) := sub(x=1,y=0,rhs second first ans2);
2
e *( - 2*e + 9)
arbconst(21) := -----------------
9
ans;
3*x 3*x 3 3 2 2
3*e *x - 2*e - 6*e *x + 5*e + 27*e *x - 27*e
{y=-----------------------------------------------------}
2*x
27*e
clear arbconst(!!arbconst),arbconst(!!arbconst-1), ans, ans2 $
% For simultaneous equations you can use the machine e.g. as follows
depend z,x $
ode1:=df(y,x,2)+5*y-4*z+36*cos(7*x);
ode1 := 36*cos(7*x) + df(y,x,2) + 5*y - 4*z
ode2:=y+df(z,x,2)-99*cos(7*x);
ode2 := - 99*cos(7*x) + df(z,x,2) + y
ode:=df(ode1,x,2)+4*ode2;
ode := - 2160*cos(7*x) + df(y,x,4) + 5*df(y,x,2) + 4*y
y := rhs first odesolve(ode,y,x);
This is a linear ODE with constant coefficients of order 4
y := arbconst(25)*sin(x) + arbconst(24)*cos(x) - arbconst(23)*sin(2*x)
+ arbconst(22)*cos(2*x) + cos(7*x)
z := rhs first solve(ode1,z);
z := (4*arbconst(25)*sin(x) + 4*arbconst(24)*cos(x) - arbconst(23)*sin(2*x)
+ arbconst(22)*cos(2*x) - 8*cos(7*x))/4
clear ode1, ode2, ode, y,z $
nodepend z,x $
% A "homogeneous" n-th order (Euler) equation
ode := x*df(y,x,2) + df(y, x) + y/x + (log x)**3;
2 3
df(y,x,2)*x + df(y,x)*x + log(x) *x + y
ode := ------------------------------------------
x
odesolve(ode, y, x);
This equation is of the homogeneous (Euler) type
3
{y=( - 2*arbconst(27)*sin(log(x)) + 2*arbconst(26)*cos(log(x)) - log(x) *x
2
+ 3*log(x) *x - 3*log(x)*x)/2}
% Not yet working
% ode :=6*df(y,x,2)+df(y,x)-2*y + tan x;
% odesolve(ode, y,x);
% To reset the system
!!arbconst := 0 $
clear ode $
off trode$
nodepend y,x $
end $
4: 4: 4: 4: 4: 4: 4: 4: 4:
Time for test: 1020 ms, plus GC time: 30 ms
5: 5:
Quitting
Sun Jan 3 23:51:30 MET 1999