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Math 225 Differential Equations Notes Chapter 2

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<strong>Math</strong> <strong>225</strong> <strong>Differential</strong> <strong>Equations</strong> <strong>Notes</strong> <strong>Chapter</strong> 2<br />

Michael Muscedere<br />

September 26, 2004<br />

1 Introduction<br />

See Note Set 1<br />

2 First-Order <strong>Differential</strong> <strong>Equations</strong><br />

2.1 Introduction: Motion of a Falling Body<br />

We will revisit this subject later on.<br />

2.2 Separable <strong>Equations</strong><br />

Definition If the right-hand side of the equation:<br />

dy<br />

= f(x, y)<br />

dx<br />

can be expressed as a function g(x) that depends only on x times a function<br />

p(y) that depends only on y, then the differential equation is called<br />

separable.<br />

1


2.2.1 Method for Solving Separable <strong>Equations</strong><br />

Start with:<br />

dy<br />

dx = g(x)p(y)<br />

multiply by dx and by h(y) := 1/p(y) to obtain<br />

Then integrate both sides:<br />

∫<br />

h(y)dy = g(x)dx<br />

∫<br />

h(y)dy = g(x)dx<br />

Obtain the implicit solution of the differential equation by merging together<br />

the integration constants.<br />

H(y) = G(x) + C<br />

2


Example 1: Solve the non-linear equation<br />

Solution:<br />

1. y 2 dy = (x − 5)dx<br />

2. ∫ y 2 dy = ∫ (x − 5)dx<br />

dy<br />

dx = x − 5<br />

y 2<br />

3. y3<br />

3 = x2<br />

2 − 5x + C<br />

(<br />

) 1/3<br />

3x<br />

4. y =<br />

2<br />

2 − 15x + 3C<br />

(<br />

) 1/3<br />

3x<br />

5. y =<br />

2<br />

2 − 15x + K 3


Example 2: Solve the Initial value problem<br />

Solution:<br />

• dy<br />

y−1 = dx<br />

x+3<br />

• ∫ dy<br />

y−1 = ∫ dx<br />

x+3<br />

• ln|y − 1| = ln|x + 3| + C<br />

dy<br />

dx = y − 1<br />

x + 3<br />

y(−1) = 0<br />

• now we have an implicit solution<br />

• Let’s solve for y explicitly<br />

• e ln|y−1| = e ln|x+3|+C<br />

• |y − 1| = e C |x + 3| = C 1 |x + 3| where C 1 = e C > 0<br />

• y − 1 = ±C 1 (x + 3) implying y = 1 ± C 1 (x + 3)<br />

• y = 1 + K(x + 3) If we let K := ±C 1 and non-zero<br />

We can solve for K using the initial condition of y(−1) = 0<br />

0 = 1 + K(−1 + 3) = 1 + 2K<br />

So k = −1/2 and the solution to the IVP is<br />

y = 1 − 1 2<br />

−1<br />

(x + 3) = (x + 1)<br />

2<br />

4


2.2.2 Formal Justification of Method<br />

Let’s write the original DE in the following form.<br />

h(y) dy<br />

dx = g(x)<br />

where h(y) := 1/p(y). Letting H(y) and G(x) denote antiderivatives<br />

(indefinite integrals) of h(y) and g(x). so<br />

H ′ (y) dy<br />

dx = G′ (x)<br />

By the chain rule the left hand side is the derivative of the composite<br />

function H(y(x)) so<br />

d<br />

dx H(y(x)) = d<br />

dx G(x)<br />

Now, H(y(x)) and G(x) are two functions of x that have the same<br />

derivative. Therefore they can only differ by a constant.<br />

H(y(x)) = G(x) + C<br />

Hence this is the implicit solution.<br />

5


2.3 Linear <strong>Equations</strong><br />

Recall from Section 1.1 that a linear first-order equation is of the<br />

form:<br />

a 1 (x) dy<br />

dx + a 0(x)y = b(x)<br />

There are two situation for which the solution is quite immediate.<br />

If a 0 (x) := 0 then<br />

a 1 (x) dy<br />

dx = b(x)<br />

∫ b(x)<br />

y(x) =<br />

a 1 (x) dx + C<br />

The second situation is if a 0 (x) happens to be equal to the derivative<br />

of a 1 (x) In this case:<br />

a 1 (x)y ′ + a 0 (x)y = a 1 (x)y ′ + a ′ 1(x)y = d<br />

dx [a 1(x)y]<br />

d<br />

dx [a 1(x)y] = b(x)<br />

∫<br />

a 1 (x)y = b(x)dx + C<br />

y(x) = 1 [∫<br />

a 1 (x)<br />

]<br />

b(x)dx + C<br />

6


A linear differential equation is seldom as easy to solve as the<br />

first situation but we can always recast a linear DE into the second<br />

situation by using integrating factors.<br />

First let’s define a standard form.<br />

dy<br />

dx<br />

+ P (x)y = Q(x)<br />

where P (x) = a 0 (x)/a 1 (x) and Q(x) = b(x)a 1 (x)<br />

Next we wish to find a function µ(x) such that if we multiply the<br />

standard form by µ(x) then the left hand side becomes the derivative<br />

of the product µ(x)y<br />

7


Let’s see what µ(x) we need to make this happen.<br />

µ(x) dy<br />

dx<br />

+ µ(x)P (x)y = µ(x)dy<br />

dx + µ′ (x)y = d<br />

dx µ(x)y<br />

We see that if µ ′ (x) = µ(x)P (x) then we have situation two. So<br />

• dµ(x)<br />

dx<br />

= µ(x)P (x) use separation of variables<br />

• ∫ 1<br />

µ dµ = ∫ P (x)dx<br />

• µ(x) = e ∫ P (x)dx<br />

We found the special µ(x) Yeh. so<br />

d<br />

µ(x)y = µ(x)Q(x)<br />

dx<br />

as before<br />

µ(x)y =<br />

∫<br />

y(x) = 1 [∫<br />

µ(x)<br />

µ(x)Q(x)dx + C<br />

]<br />

µ(x)Q(x) + C<br />

8


Example 3: Find the general solution to<br />

1 dy<br />

x dx − 2y<br />

x = xcos(x)<br />

2<br />

• dy<br />

dx − 2 x y = x2 cos(x) Put in standard form so P (x) = −2/x<br />

• ∫ P (x)dx = ∫ −2<br />

x<br />

dx = −2ln|x| find µ(x)<br />

• µ(x) = e −2ln|x| = e ln(x−2) = x −2<br />

• x −2 dy<br />

dx − 2x−3 y = cos(x) Multiply the standard form by µ(x)<br />

• d<br />

dx (x−2 y) = cos(x)<br />

• x −2 y = ∫ cos(x)dx = sin(x) + C Integrate both sides<br />

• so y = x 2 sin(x) + Cx 2 9


Example 4: Word Problem<br />

A rock contains radioactive isotopes RA 1 and RA 2 that belong to<br />

the same radioactive series:<br />

• RA 1 decays into RA 2 at the rate of 50e −10t kg/sec.<br />

• RA 2 decays into stable atoms at a rate proportional k to the<br />

mass y(t) of RA 2 present<br />

From this information we can setup a first order differential equation<br />

describing the rate of change of RA 2 {y(t)}<br />

dy<br />

dt =<br />

rate of creation - rate of decay<br />

So<br />

dy<br />

dt = 50e−10t − ky(t)<br />

If k = 2/sec and initially y(0) = 40 kg, find the mass y(t) of RA 2<br />

for t ≥ 0<br />

• dy<br />

dt + 2y = 50e−10t Put in standard form so P (t) = 2<br />

• ∫ P (t)dt = ∫ 2dx = 2t find µ(t)<br />

• µ(t) = e 2t<br />

• e 2t dy<br />

dt + 2e2t y = 50e 2t e −10t Multiply the standard form by µ(t)<br />

• d dt (e2t y) = 50e −8t<br />

• e 2t y = ∫ 50e −8t dt Integrate both sides<br />

• e 2t y = 50<br />

−8 e−8t + C<br />

• y = −25<br />

4 e−10t + Ce −2t 10


To find C we need to apply the initial conditions y(0) = 40 to the<br />

general solution.<br />

40 = −25<br />

4 e0 + Ce 0 = −25<br />

4 + C<br />

So C = 40 + 25/4 = 185/4<br />

Thus the IVP solutions is:<br />

y(t) = 185<br />

4 e−2t − 25<br />

4 e−10t<br />

11


Theorem 2.1 Existence and Uniqueness Theorem<br />

Suppose P (x) and Q(x) are continuous on an interval (a, b)<br />

that contains the point x 0 . Then for any choice of initial values<br />

y 0 there exist a unique solution y(x) on (a, b) to the initial value<br />

problem<br />

• dy<br />

dx<br />

+ P (x)y = Q(x)<br />

• y(x 0 ) = y 0<br />

In fact the solution is:<br />

y(x) = 1<br />

µ(x)<br />

for the appropriate C.<br />

[∫<br />

]<br />

µ(x)Q(x) + C<br />

12


2.4 Exact <strong>Equations</strong><br />

It is also possible to use integrating factors to solve certain non-linear<br />

differential equations. Consider an equation of the form<br />

N(x, y) dy<br />

dx<br />

+ M(x, y) = 0<br />

where M and N are arbitrary (differentiable) functions of x and y.<br />

Multiplying through by the differential dx, we get<br />

M(x, y)dx + N(x, y)dy = 0<br />

Now suppose there exists a function F (x, y) with the following special<br />

property.<br />

∂F<br />

∂x<br />

= M(x, y)<br />

∂F<br />

∂y<br />

= N(x, y)<br />

then the preceding equation can be written in the form<br />

∂F ∂F<br />

dx +<br />

∂x ∂y dy = 0<br />

We recognize the left hand side as the total differential dF of a multivariable<br />

function F so:<br />

meaning that<br />

dF = 0<br />

F (x, y) = C<br />

where C is a constant. <strong>Differential</strong> <strong>Equations</strong> where this is true are<br />

called Exact<br />

13


Example 5: Show the following equation is exact and give an<br />

implicit solution.<br />

(x + y) + (x + 3y) dy<br />

dx = 0<br />

We need to find an F such that:<br />

∂F<br />

∂x<br />

= (x + y) and<br />

∂F<br />

∂y<br />

= (x + 3y)<br />

F (x, y) = (1/2)x 2 + xy + (3/2)y 2<br />

Verify that this F does the trick.<br />

So (1/2)x 2 + xy + (3/2)y 2 = C is the implicit solution.<br />

14


Definition Exact <strong>Differential</strong> Form<br />

The differential form M(x, y)dx + N(x, y)dy is said to be exact<br />

differential form in a rectangle R if there is a function F (x, y) such<br />

that:<br />

∂F<br />

∂x<br />

= M(x, y)<br />

∂F<br />

∂y<br />

total differential of F (x, y) satisfies:<br />

= N(x, y) for all (x, y) in R. That is the<br />

dF (x, y) ≡ ∂F ∂F<br />

dx + dy = M(x, y)dx + N(x, y)dy<br />

∂x ∂y<br />

If M(x, y)dx + N(x, y)dy is an exact differential form, then the<br />

equation<br />

M(x, y)dx + N(x, y)dy = 0<br />

is said to be an exact differential equation.<br />

Before we waste time trying to find F (x, y) we need a test to see<br />

if M(x, y)dx + N(x, y)dy is an exact differential form.<br />

15


Theorem 2.2 Test for Exactness<br />

Suppose the first partial derivatives of M(x, y) and N(x, y) are<br />

continuous in a rectangle R. Then<br />

M(x, y)dx + N(x, y)dy = 0<br />

is an exact equation in R if and only if the compatibility condition<br />

∂M<br />

∂y<br />

holds for all (x, y) in R.<br />

Why is this true<br />

∂N<br />

(x, y) = (x, y)<br />

∂x<br />

Consider the continuous mixed partial derivatives of F (x, y). We<br />

know from calculus that<br />

∂ ∂F<br />

∂y ∂x = ∂ ∂F<br />

∂x ∂y<br />

which leads directly to the compatibility condition.<br />

16


2.4.1 Method for Solving Exact <strong>Equations</strong><br />

1. If M(x, y)dx + N(x, y)dy = 0 is exact, then ∂F/∂dx = M.<br />

Integrate this last equation with respect to x to get<br />

∫<br />

F (x, y) = M(x, y)dx + g(y)<br />

2. To determine g(y) take the partial derivative with respect to y<br />

of both sides of the above integral equation and substitute N for<br />

∂F/∂y. We can now solve for g ′ (y).<br />

3. Integrate g ′ (y) to get g(y) up to a numerical constant. Substituting<br />

g(y) into the integral equation above gives F (x, y)<br />

4. The solution is F(x,y)=C<br />

Alternatively, starting with ∂F/∂y = N, the implicit solution can<br />

be found by first integrating with respect to y.<br />

17


Example 6: Solve<br />

(2xy − sec 2 x)dx + (x 2 + 2y)dy = 0<br />

Solution:<br />

Here M(x, y) = (2xy − sec 2 x) and N(x, y) = (x 2 + 2y) Testing for<br />

exactness:<br />

∂M ∂N<br />

= 2x =<br />

∂y ∂x<br />

Integrate M(x, y) with respect to x<br />

F (x, y) =<br />

∫<br />

(2xy − sec 2 x)dx + g(y) = x 2 y − tan(x) + g(y)<br />

Next, take the partial derivative w.r.t y of the integral equation substituting<br />

∂F<br />

∂y = N(x, y) = (x2 + 2y)<br />

x 2 + 2y = x 2 + g ′ (y)<br />

so g ′ (y) = 2y implying g(y) = y 2 substituting in the equation for<br />

F (x, y) we get<br />

F (x, y) = x 2 y − tan(x) + g(y) = x 2 y − tan(x) + y 2<br />

and the implicit solution of the DE is<br />

x 2 y − tan(x) + y 2 = C<br />

18


2.5 Exact <strong>Equations</strong><br />

Can we use integrating factors to turn DE into exact DE equations<br />

Method for Finding Integrating Factors<br />

1. If Mdx + Ndy = 0 is neither separable nor linear, compute<br />

∂M ∂N ∂M<br />

∂y<br />

and<br />

∂x<br />

. If<br />

∂y<br />

= ∂N<br />

∂x<br />

then the DE is exact. use method in<br />

previous section 2.4.<br />

2. If not exact, consider<br />

∂M/∂y − ∂N/∂x<br />

N<br />

If this is just a function of x then use the following as the integrating<br />

factor.<br />

[∫ ( ) ]<br />

∂M/∂y − ∂N/∂x<br />

µ(x) = exp<br />

dx<br />

N<br />

3. If not, consider<br />

∂N/∂x − ∂M/∂y<br />

M<br />

If this is just a function of y then use the following as the integrating<br />

factor.<br />

[∫ ( ) ]<br />

∂N/∂x − ∂M/∂y<br />

µ(y) = exp<br />

dy<br />

M<br />

Example 7: Solve<br />

Solution:<br />

Test for exactness:<br />

(2x 2 + y)dx + (x 2 y − x)dy = 0<br />

∂M<br />

∂y<br />

= 1 ≠ (2xy − 1) =<br />

∂N<br />

∂x<br />

19


So compute<br />

∂M/∂y − ∂N/∂x<br />

N<br />

=<br />

1 − (2xy − 1)<br />

x 2 y − x<br />

=<br />

2(1 − xy)<br />

−x(1 − xy = −2<br />

x<br />

This is only a function of x so the integrating factor is:<br />

(∫ ) −2<br />

µ(x) = exp<br />

x dx = x −2<br />

multiplying the differential equation by µ we get<br />

(2 + yx −2 )dx + (y − x −1 )dy = 0<br />

∂M<br />

∂y = x−2 = ∂N<br />

∂x<br />

This equation is now exact. Using the method of 2.4 we get the<br />

implicit solution:<br />

2x − yx −1 + y2<br />

2 = C<br />

2.6 Substitution and Transformations<br />

Substitution Procedure<br />

1. Identify the appropriate substitution for the given problem type.<br />

2. Rewrite the original equation in terms of the new variables<br />

3. Solve the transformed equation<br />

4. Express the solution in terms of the original variables. Noting<br />

any solutions lost in the procedure.<br />

20


Definition Homogeneous <strong>Equations</strong><br />

If the right hand side of the equation<br />

dy<br />

= f(x, y)<br />

dx<br />

can be expressed as a function of the ratio y/x then we say the<br />

equation is homogeneous.<br />

One test to see if the DE in the definition is homogeneous is to replace<br />

x with tx and y with ty then the equation is homogeneous if and<br />

only if<br />

f(tx, ty) = f(x, y)<br />

for all t ≠ 0<br />

To solve a homogeneous equation, we can make the following substitutions<br />

and by the chain rule on y = vx<br />

Example 8: Solve<br />

v = y x<br />

dy<br />

dx = v d<br />

dx x + xdv dx = v + xdv dx<br />

Solution:<br />

(xy + y 2 + x 2 )dx − x 2 dy = 0<br />

• Is the equation exact<br />

No<br />

∂M<br />

∂y<br />

= x + 2y ≠ 2x =<br />

∂N<br />

∂x<br />

21


• Is the equation linear<br />

No<br />

• Is it a function of y/x<br />

dy<br />

dx = xy + y2 + x 2<br />

x 2<br />

dy<br />

dx = xy + y2 + x 2<br />

x 2 = y x + (y x )2 + 1<br />

So the equation is homogeneous.<br />

using the substitution we get:<br />

v + x dv<br />

dx = v + v2 + 1<br />

This equation is separable so:<br />

• ∫ ∫ 1 1<br />

v1<br />

2 dv =<br />

x dx<br />

•<br />

•<br />

•<br />

•<br />

arctan(v) = ln|x| + C<br />

v = tan(ln|x| + C)<br />

y<br />

x<br />

= tan(ln|x| + C)<br />

y = xtan(ln|x| + C)<br />

• Also note x ≡ 0 is also a solution.<br />

22


2.6.1 <strong>Equations</strong> of the form dy<br />

dx<br />

If the right side of the equation:<br />

= G(ax + by)<br />

dy<br />

= f(x, y)<br />

dx<br />

can be expressed as a function of ax + by, That is<br />

then the substitution<br />

dy<br />

dx<br />

= G(ax + by)<br />

z = ax + by<br />

transforms the equation into a separable one.<br />

Example 9: Solve<br />

Solution:<br />

dy<br />

dx<br />

= y − x − 1 + (x − y + 2)−1<br />

•<br />

dy<br />

dx = y − x − 1 + (x − y + 2)−1 = −(x − y) − 1 + [(x − y) + 2] −1<br />

•<br />

z = x − y<br />

•<br />

dz<br />

dx = 1 − dy<br />

dx<br />

•<br />

1 − dz = −z − 1 + [z + 2]−1<br />

dx<br />

•<br />

dz<br />

= (z + 2) − (z + 2)−1<br />

dx<br />

This equation is separable.<br />

23


• ∫<br />

• ∫<br />

•<br />

•<br />

•<br />

replacing z by x − y<br />

∫<br />

dz<br />

(z + 2) − (z + 2) = −1<br />

∫<br />

(z + 2)dz<br />

(z + 2) 2 − 1 =<br />

dx<br />

1<br />

2 ln|(z + 2)2 − 1| = x + C 1<br />

(z + 2) 2 = Ce 2x + 1<br />

(x − y + 2) 2 = Ce 2x + 1<br />

dx<br />

2.6.2 Bernoulli <strong>Equations</strong><br />

Definition Bernoulli <strong>Equations</strong><br />

A first order equation that can be written in the form<br />

dy<br />

+ P (x)y = Q(x)yn<br />

dx<br />

where P(x) and Q(x) are continuous on an interval (a,b) and n is a<br />

real number is called a Bernoulli Equation.<br />

Note that when n=0 or n=1 the equation is linear and can be solved<br />

by our known methods.<br />

24


To solve Bernoulli equations, we can make the following substitutions<br />

v = y 1−n<br />

suppose we divide Bernoulli’s equation by y n then:<br />

y −ndy<br />

dx +P (x)y1−n = Q(x) Eq 1<br />

Notice that from the chain rule applied to v = y 1−n<br />

dv<br />

= (1 − n)y−ndy<br />

dx dx<br />

So substituting into Eq 1. we get<br />

1 dv<br />

+ P (x)v = Q(x)<br />

1 − n dx<br />

This last equation is linear and can be solved using integrating factors.<br />

25


Example 10: Solve<br />

dy<br />

dx − 5y = −5 2 xy3<br />

Solution:<br />

This is a Bernoulli equation with n = 3, P (x) = −5, and Q(x) =<br />

−5x/2 So as described before divide by y 3<br />

y −3dy<br />

dx − 5y−2 = − 5 2 x<br />

Now make the substitution v = y 1−3 = y −2 and dv/dx = −2y −3 dy/dx<br />

− 1 dv<br />

2 dx − 5v = −5 2 x<br />

dv<br />

+ 10v = 5x<br />

dx<br />

So now we can use integrating factors to get.<br />

Substituting v = y −2 we get<br />

v = x 2 − 1 20 + Ce−10x<br />

y −2 = x 2 − 1 20 + Ce−10x<br />

How about the solution y = 0 for all x<br />

26

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