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PARTIAL DIFFERENTIAL EQUATIONS

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PARTIAL DIFFERENTIAL EQUATIONS. A partial differential equation is a differential equation which involves partial derivatives of one or more dependent variables with respect to one or more independent variables. Consider the first-order partial differential equation (1) In which - PowerPoint PPT Presentation

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Page 1: PARTIAL DIFFERENTIAL EQUATIONS

PARTIAL DIFFERENTIAL

EQUATIONS

Page 2: PARTIAL DIFFERENTIAL EQUATIONS

A partial differential equation is a differential equation which involves partial derivatives of one or more dependent variables with respect to one or more independent variables.

Consider the first-order partial differential equation

(1)

In which u is the dependent variable and x and y are independent variables.

2 2u x yx

Page 3: PARTIAL DIFFERENTIAL EQUATIONS

The solution is;

where indicates a “partial integration” with respect to “x”, holding y constant, and is an arbitrary function of y only.

Thus, solution of Eq (1) is;

(2)where is an arbitrary function of y.

2 2( ) ( )u x y x y

32 ( )

3xu xy y

Page 4: PARTIAL DIFFERENTIAL EQUATIONS

As a second example, consider the second-order partial differential equation:

(3)

We first write this equation in the form

and integrate partially with respect to y, holding x constant,

where is an arbitrary function of x.

23u x y

y x

3( )u x yy x

23 ( )

2u yx y xx

Page 5: PARTIAL DIFFERENTIAL EQUATIONS

We now integrate this result partially with respect to x, holding y constant (4)

where f defined by f(x)= is an arbitrary function of x and g is an arbitrary function of y.

4 2

( ) ( )4 2x y xyu f x g y

( )x dx

Page 6: PARTIAL DIFFERENTIAL EQUATIONS

The solution of the first-order partial differential equation contains one arbitrary function, and the solution of the second-order partial differential equation contains two arbitrary functions.

Page 7: PARTIAL DIFFERENTIAL EQUATIONS

LINEAR PARTIAL DIFFERENTIAL EQUATIONS OF THE SECOND-ORDER

The general linear partial differential equation of the second order in two independent variables x and y is;

(5)

where A, B, C, D, E, F and G are functions of x and y. If G(x,y)=0 for all (x,y), the Equation (5) reduces to;

(6)

2 2 2

2 2

u y u u uA B C D E Fu Gx x y y x y

2 2 2

2 2 0u y u u uA B C D E Fux x y y x y

Page 8: PARTIAL DIFFERENTIAL EQUATIONS

HOMOGENOUS LINEAR EQUATIONS OF SECOND ORDER WITH CONSTANT

COEFFICIENTS (7)

where a, b and c are constants.The word homogenous refers to the

fact that all terms in Equation (7) contain derivatives of the same order (the second).

u= f(y+mx) (8)where f is an arbitrary function and m is a constant. Differentiating (8);

2 2 2

2 2 0u u ua b cx x y y

Page 9: PARTIAL DIFFERENTIAL EQUATIONS

(9)

Substituting (9) into the Equation (7);

Thus f(y+mx) will be a solution of (7) if m satisfies the quadratic equation am2+bm+c=0 (10)

22

2

2

2

2

''( )

''( )

''( )

u m f y mxxu mf y mxx yu f y mxy

2

2

''( ) ''( ) ''( ) 0

''( )[ ] 0

m f y mx bmf y mx cf y mx

f y mx am bm c

Page 10: PARTIAL DIFFERENTIAL EQUATIONS

we now consider the following four cases of Equation (7)

1. , and the roots of the quadratic Equation (10) are distinct.

2. ,the roots of the Equation (10) are equal.

3. 4.

0a

0a

0, 0a b 0, 0, 0a b c

Page 11: PARTIAL DIFFERENTIAL EQUATIONS

In case (I) , and the roots of Equation(10) are distinct. Let the distinct roots of Equation (10) m1 and m2.Then the Equation (7) has the solutions:f(y+m1x)+g(y+m2x)

0a

Page 12: PARTIAL DIFFERENTIAL EQUATIONS

In case (ii), , and the roots of Equation (10) are equal.Let the double root of Equation (10) be m1.The Equation (7) has the solution f(y+m1x), where f is an arbitrary function of its argument.The Equation (7) also has the solution xg(y+m1x), where g is an arbitrary function of its argument.“f(y+m1x)+ xg(y+m1x)”is a solution of Eq.7.

0a

Page 13: PARTIAL DIFFERENTIAL EQUATIONS

In case (iii), The quadratic Equation (10)

reduces to bm+c=0 and has only one root.

Denoting this root by m1, Equation (7) has the solution f(y+m1x) where f is an arbitrary function of its argument.

g(x) is an arbitrary function of x only, is also a solution of Equation (7).

f(y+m1x)+g(x) is a solution of Equation (7).

0, 0a b

Page 14: PARTIAL DIFFERENTIAL EQUATIONS

Finally in case (iv), The equation (10) reduces to c=0, which is

impossible.There exist no solution of the form (Equation

8).The differential Equation (7) is;

Integrating partially with respect to y twice, we obtain

u= f(x)+ yg(x),where f and g are arbitrary functions of x

only.f(x)+yg(x)

is a solution of Equation (7).

0, 0, 0a b c

2

2 0

( ) 0

ucy

oru

y y

Page 15: PARTIAL DIFFERENTIAL EQUATIONS

Example 1: Find a solution of

(Equation 15)which contains two arbitrary functions.Solution: The quadratic Equation (10) corresponding to the differential equation (Equation 15) is;

m2-5m+6=0and this equation has the distinct roots m1=2, m2=3.Using Equation (11);

u= f(y+2x)+g(y+3x)is a solution of Equation (15) which contains two arbitrary functions.

2 2 2

2 25 6 0u u ux x y y

Page 16: PARTIAL DIFFERENTIAL EQUATIONS

Example 2: Find a solution of

(Equation 16)

which contains two arbitrary functions.Solution: The quadratic Equation (14.10) corresponding to the differential equation (Equation 16) is;

m2-4m+4=0and this equation has the double root m1=2,Using Equation (12);

u= f(y+2x)+xg(y+2x)is a solution of Equation (16) which contains two arbitrary functions.

2 2 2

2 24 4 0u u ux x y y

Page 17: PARTIAL DIFFERENTIAL EQUATIONS

The second-order linear partial differential equation

(6)

where A, B, C, D, E and F are real constants is said to bei) hyperbolic if B2-4AC>0ii) parabolic if B2-4AC=0iii) elliptic if B2-4AC<0

 

2 2 2

2 2 0u y u u uA B C D E Fux x y y x y

Page 18: PARTIAL DIFFERENTIAL EQUATIONS

The equation (10)

(WAVE EQUATION, a homogenous linear equation with constant coefficients)This equation is hyperbolic since A=1, B=0, C=-1 and B2-4AC>0. Equation (10) is a special case of the one-dimensional wave equation, which is satisfied by the small transverse displacements of the points of a vibrating string. It has the solutionu=f(y+x)+g(y-x)where f and g are arbitrary functions.

2 2

2 2 0u ux y

Page 19: PARTIAL DIFFERENTIAL EQUATIONS

The equation; (11)

(HEATOR DIFFUSION EQUATION, is not homogenous)

This equation is parabolic, since A=1, B=C=0, and B2-4AC=0. Equation (11) is a special case of the one-dimensional heat equation (or diffusion equation), which is satisfied by the temperature at a point of a homogenous rod.

2

2 0u ux y

Page 20: PARTIAL DIFFERENTIAL EQUATIONS

The equation; (12)

(LAPLACE EQUATION, Homogenous linear equation with constant coefficients)

This equation is elliptic, since A=1, B=0, C=1 and B2-4AC=-4 <0.

Equation (12) is the so-called two-dimensional Laplace equation, which is satisfied by the steady-state temperature at points of a thin rectangular plate.

It has the solution;u= f (y+ix)+ g (y-ix), where f and g are arbitrary functions.

2 2

2 2 0u ux y

Page 21: PARTIAL DIFFERENTIAL EQUATIONS

THE METHOD OF SEPERATION OF VARIABLES

In this lesson, we introduce the so-called method of separation of variables. This is a basic method which is very powerful for obtaining solutions of certain problems involving partial differential equations.Example: Heat or Diffusion ProblemWe now illustrate the method of separation of variables by applying it to obtain a formal solution of the so-called heat problem.

Page 22: PARTIAL DIFFERENTIAL EQUATIONS

The Physical Problem:

The temperature of an infinite horizontal slab of uniform width h is everywhere zero. The temperature at the top of the slab is then set and maintained at Th, while the bottom surface is maintained at zero. Determine the temperature profile in the slab as a function of position and time.

Page 23: PARTIAL DIFFERENTIAL EQUATIONS

Solution:This problem is solved in rectangular coordinates. Differential equation is;(1)

The separation of variables method is now applied. We assume that the solution for T may be separated into the product of one function ψ(z) that depends solely on z, and by a second function θ(t) that depends only on t.T= T(z,t)T= ψ(z) θ(t) = ψ.θ

22

2

T Tt z

Page 24: PARTIAL DIFFERENTIAL EQUATIONS

The left hand side of Equation (1) becomes(2)

The right hand side of Equation (1) is given by(3)

Combining equations (2) and (3)(4)

where –λ2 is a constant. The boundary conditions (BC) and initial condition (IC) are now written.

( ) 'Tt t

2

2

22

zT

22

2

Page 25: PARTIAL DIFFERENTIAL EQUATIONS

BC (1)At z=0, T=0 for t ≥0

BC (2)At z=h, T=Th for t>0

ICAt t=0, T=0 for 0≤z≤h

The following solution results if –λ2 is zero.T0=C1+C2z (5)

Substituting BC(1) and BC(2) into Equation (5) givesT0=Th (z/h) (6)The equation (6) is the steady-state solution to the partial differential equation (PDE).

Page 26: PARTIAL DIFFERENTIAL EQUATIONS

If the constant is nonzero, we obtain

(7)

Equations (6) and (7) are both solutions to (1). Since (1) is a linear PDE, the sum of Equations (6) and (7) also is a solution, i.e.,

(8)

2 2

2 ( sin cos )a tz zT e a b

2

2 2

( ) ( sin cos )

o

a th z

T T T

zT T e a z bh

Page 27: PARTIAL DIFFERENTIAL EQUATIONS

Resubstitution of the BC gives (9)

(9)2 2( / )( ) sin( )ta n h

h nz n zT T a eh h

Page 28: PARTIAL DIFFERENTIAL EQUATIONS

The constant an is evaluated ısing the IC.

(10) 

2 2( / )

1

2 ( 1)

2 ( 1)( ) sin( )t

nhn

na n hn

n n

Ta

nTz n zT T e

h n h

Steady-state solution

Transient solution

Page 29: PARTIAL DIFFERENTIAL EQUATIONS
Page 30: PARTIAL DIFFERENTIAL EQUATIONS

Consider the two-dimensional problem of a very thin solid bounded by the y-axis (z=0), the lines y=0 and y=l, and extending to infinity in the z direction. The temperature of the vertical edge at y=0 and y=l is maintained at zero. The temperature at z=0 is To. Determine the steady-state temperature profile in the solid. Assume both plane surfaces of the solid are insulated.

Page 31: PARTIAL DIFFERENTIAL EQUATIONS

The two-dimensional view of this system is presented in the Figure.

z

z=0y=0

T=0

y=L

T=0

T=Toy

Based on the problem statement T is not a function of x.Based on the problem statement T is not a function of x.

Page 32: PARTIAL DIFFERENTIAL EQUATIONS

(1)

This PDE is solved using the separation-of-variables method. Since the temperature of the solid is a function of y and z, we assume the solution can be separated into the product of one function Φ (z) that depends only on z.T=T(y,z)T=ψ (y) Φ (z)(2)T=ψ Φ

2 2

2 2 0T Ty z

Page 33: PARTIAL DIFFERENTIAL EQUATIONS

The first term of Equation (1) is=Φ ψ’’

The second term makes the form

= ψ Φ’’ (3)

Substituting Equations (2) and (3) into Equation (1) givesΦ ψ’’+ ψ Φ’’ =0 (4)

2

2

Ty

2

2

Tz

'' ''

Function of y Function of z

Page 34: PARTIAL DIFFERENTIAL EQUATIONS

Both terms in Equation (4) are equal to the same constant –λ2.

(5)A positive constant or zero does not contribute to the solution of the problem.

and are constants that depend on the value of λ.

2'' '' –

sin cosa y b y

a b

z zCe DeT

( sin cos )( )z za y b y Ce De (6)

Page 35: PARTIAL DIFFERENTIAL EQUATIONS

What are the BC?BC(1) T=0 at y=0BC(2) T=0 at y=RBC(3) T=To z=0BC(4) T=0 z=∞Based on physical grounds, BC(4)

gives,C=0( sin cos )

( sin cos )

z

z

T a y b y De

T a y b y e

Page 36: PARTIAL DIFFERENTIAL EQUATIONS

BC(1) givesbλ =0

(7)BC (2) gives

The RHS of this equation is zero if aλ=0 or sin λL=0. If aλ is zero, no solution results. Therefore

sin λL=0λL=nπ; n=1,2,3,4,…λ=( nπ)/L

( sin ) zT a y e

0 ( sin ) za L e

Page 37: PARTIAL DIFFERENTIAL EQUATIONS

The equation (7) now becomes

The constant an is evaluated from BC(3).

The Fourier series analysis gives

So that;

( / ) sin( )n L zn

n yT a eL

sin( )nn yTo aL

12 [( 1) 1]nn

Toan

1 ( / )1

2 [( 1) 1] sin( )n n L zn

To n yT en L