(%i1) |
kill(all)$ load(eigen)$ |
module 3:cooling law 'system differential equations'.
[email protected] , 25/03/2017
cooling law :Newton.
T0 = initial temperature ( initial state ),see below
Te = ambient temperature ( final state ),see below
T = temperature ' function of time ' = T( time ) = T(t)
(%i2) | assume(k>0); |
(%i3) | pT1:'diff(T,t)=-k*(T-Te); |
(%i4) | p1:ode2(pT1,T,t); |
How to get '%c' ⇒ t=0 → T=T0
(%i7) |
p2:ev(p1,t=0); p3:solve(p2,%c)[1]; p4:ev(p3,T=T0); |
(%i8) | p5:ev(p1,p4); |
check : of the initial state of the cooling process.
find initial state 'p5' ' t→ 0 ',time domain
( Laplace transformation , s domain )
(%i9) | p6:limit(part(p5,2), t, 0); |
(%i10) | p7:T=ratsimp(part(p5,2)); |
find steady state 'p7' ' t→ infinity ',time domain
( Laplace transformation , s domain )
(%i11) | p8:limit(p7,t,inf); |
(%i12) | kill(all); |
three zones cooling : Te = put in egg in boiling water = 'Te' of 'Te=100*e^(-kt)'
T2 = egg white ( = Albumen) = T[1]
T1 = yolk = T[2]
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http://www.ltz.de/en/news/lohmann-information/An-egg-a-day-the-physiology-of-egg-formation.php ,'fig'
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temperature range : Te(t) or constant , T2(t) , T1(t)
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egg model :
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mitopencourseware :
Instructor/speaker: Prof. Arthur Mattuck
Home » Courses » Mathematics » Differential Equations » Video Lectures »
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https://ocw.mit.edu/courses/mathematics/18-03-differential-equations-spring-2010/video-lectures
/lecture-24-introduction-to-first-order-systems-of-odes/
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a,b : no physical meaning, 'different conductions = different regios'
Te = 0 (ice bad,course mit use this)
Te = 100 (boiling egg)
edit : Te:0 (course mit) → Te:100
(%i1) | Te :0; |
(%i2) |
depends(T,t); |
(%i4) |
pT1:'diff(T[1],t)=a*(T[2]-T[1]); pT2:'diff(T[2],t)=a*(T[1]-T[2])+b*(Te-T[2]); |
(%i6) |
a:2; b:3; |
(%i8) |
pT11:'diff(T[1],t)=a*(T[2]-T[1]); pT22:'diff(T[2],t)=-a*(T[1]-T[2])+b*(Te-T[2]); |
eliminate : T2
(%i11) |
p9:solve(pT1,T[2])[1]; a:2; b:3; |
(%i12) | p10:ratsimp(ev(pT2,p9)); |
(%i13) | p11:ratsimp(ev(lhs(p10)-rhs(p10)=0,nouns)); |
find : T
1
rem : characsteristic eq: r^2+7*r+6=0,roots = -1,6
(%i14) | p12:ode2(p11,T[1],t); |
intial conditions T[1](t=0)=40
T[2](t=0)=45
find : T
2
(%i15) | p13:ev(p12,%k1=c1,%k2=c2); |
T[1](t=0)=40,initial temperature (yolk)
(%i16) | p131:ev(p13,T[1]=40,t=0); |
(%i17) | p14:ev(p9,p13); |
(%i18) | p15:ev(p14,nouns); |
(%i19) | ratsimp(ev(p14,nouns)); |
T[2](t=0)=45,initial temperature (egg white)
(%i20) | p151:ev(p15,T[2]=45,t=0); |
how to do this :menu
Equations → solve linear system → ask questions
2 → first field : p131
second field : p151
third field : c1,c2
(%i21) | p16:linsolve([p131, p151], [c1,c2]); |
(%i23) |
p17:p16[1]; p18:p16[2]; |
T (t) = temperature 'yolk with time'.
1
(%i24) | p19:ev(p13,p17,p18); |
T (t) = temperature 'white of the egg with time'.
2
(%i25) | p20:ratsimp(ev(p15,p17,p18)); |
(%i26) | kill(all); |
solve : the above problem again ,with eigenvectors
with eigenvalues.
general method :solving system of differential equations.
X = T[1]
Y = T[2]
mit course:
https://ocw.mit.edu/courses/mathematics/18-03-differential-equations-spring-2010/video-lectures
/lecture-25-homogeneous-linear-systems-with-constant-coefficients/
(%i2) |
depends(X,t); depends(Y,t); |
(%i4) |
pd1:'diff(X,t) = -2*X+2*Y; pd2:'diff(Y,t) = 2*X-5*Y; |
what with : general 'solution'
lambda = parameter
X= a1*e^(lambda*t)
Y= a2*e^(lambda*t)
(%i6) |
p21:X=a1*%e^(lambda*t); p22:Y=a2*%e^(lambda*t); |
(%i8) |
p23:ev(pd1,p21,p22); p24:ev(pd2,p21,p22); |
(%i10) |
p231:ev(p23,nouns)/%e^(t*lambda); p241:ev(p24,nouns)/%e^(t*lambda); |
(%i12) |
p25:ratsimp(p231); p26:ratsimp(p241); |
(%i14) |
p27:rhs(p25)-lhs(p25)=0; p28:rhs(p26)-lhs(p26)=0; |
(%i18) |
p29:coeff(part(p27,1),a1); p30:coeff(part(p27,1),a2); p31:coeff(part(p28,1),a1); p32:coeff(part(p28,1),a2); |
build matrix M1 ' coefficient matrix '
(%i19) | M1:zeromatrix(2,2); |
(%i23) |
M1[1,1]:p29$ M1[1,2]:p30$ M1[2,1]:p31$ M1[2,2]:p32$ |
coefficient matrix,p27,p28
(%i24) | M1; |
call :characteristics polynomial of a matrix
module 1 : charpoly form ' load(eigen)'
(%i25) | p33:ratsimp(determinant(M1))=0; |
lambda-sum*lambda+product = 0 'quadratic equation '
sum = lambda1+lambda2
product = lambda1*lambda2
------------------------------
example: lambda1=-6,lambda2=-1
(%i26) | p34:solve(p33,lambda); |
(%i28) |
p35:p34[1]; p36:p34[2]; |
(%i30) |
p351:part(p35,2); p361:part(p36,2); |
find eigenvector corresponding to 'lambda=-1'
(%i32) |
p37:a1*M1[1,1]+a2*M1[1,2]=0; p38:a1*M1[1,1]+a2*M1[1,2]=0; |
subst : lambda = -1 'p36' in to p37,p38
(%i34) |
p39:ev(p37,p36); p40:ev(p38,p36); |
menu :equations →solve linear system 'p39,p40' for a1,a2
eigenvectors ( lambda = -1)
module 1 : eigenvectors ,uniteigenvectors
(%i35) | p41:linsolve([p39, p40], [a1,a2]); |
(%i36) | p42:ev(p41,%r1=1); |
(%i38) |
p43:p42[1]; p44:p42[2]; |
subst : lambda = -6 'p35' in to p37,p38
(%i40) |
p45:ev(p37,p35); p46:ev(p38,p35); |
menu :equations →solve linear system 'p45,p46' for a1,a2
eigenvectors ( lambda = -6)
module 1 : eigenvectors ,uniteigenvectors
(%i41) | p47:linsolve([p45, p46], [a1,a2]); |
(%i42) | p48:ev(p47,%r2=-2); |
(%i44) |
p49:p48[1]; p50:p48[2]; |
superposition principle :C1,C2
before : C11 = c1/2,C22 = c2
(%i46) |
p51:X=C11*part(p43,2)*%e^(p361*t)+C22*part(p49,2)*%e^(p351*t); p52:Y=C11*part(p44,2)*%e^(p361*t)+C22*part(p50,2)*%e^(p351*t); |
general system : without values. 'appendix'