1. Differential equations are equations involving derivatives of an unknown function and can be of different orders. Separable differential equations can be expressed as the product of a function of x and a function of y.
2. The general solution or family of solutions to a differential equation represents all possible solutions as determined by initial or boundary conditions. Initial value problems find a particular solution satisfying given initial conditions.
3. Models of natural growth and decay can be represented by differential equations where the rate of change is proportional to the amount present, with solutions in the form of exponential functions. The logistic growth model accounts for limiting factors with a carrying capacity.
formulation of first order linear and nonlinear 2nd order differential equationMahaswari Jogia
• Equations which are composed of an unknown function and its derivatives are called differential equations.
• Differential equations play a fundamental role in engineering because many physical phenomena are best formulated mathematically in terms of their rate of change.
• When a function involves one dependent variable, the equation is called an ordinary differential equation (ODE).
• A partial differential equation (PDE) involves two or more independent variables.
Figure 1: CHARACTERIZATION OF DIFFERENTIAL EQUATION
FIRST ORDER DIFFERENTIAL EQUATION:
FIRST ORDER LINEAR AND NON LINEAR EQUATION:
A first order equation includes a first derivative as its highest derivative.
- Linear 1st order ODE:
Where P and Q are functions of x.
TYPES OF LINEAR DIFFERENTIAL EQUATION:
1. Separable Variable
2. Homogeneous Equation
3. Exact Equation
4. Linear Equation
i. SEPARABLE VARIABLE:
The first-order differential equation:
Is called separable provided that f(x,y) can be written as the product of a function of x and a function of y.
Suppose we can write the above equation as
We then say we have “separated” the variables. By taking h(y) to the LHS, the equation becomes:
Integrating, we get the solution as:
Where c is an arbitrary constant.
EXAMPLE 1.
Consider the DE :
Separating the variables, we get
Integrating we get the solution as:
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Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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https://alandix.com/academic/papers/synergy2024-epistemic/
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2. Differential Equations
( ) ( )
4 2 2 3
sin , ' 2 0, 0y x y y xy x y y x′ ′′= − + − = + + =
Definition A differential equation is an equation involving
derivatives of an unknown function and possibly the
function itself as well as the independent variable.
Example
Definition The order of a differential equation is the highest order
of the derivatives of the unknown function
appearing in the equation
1st
order equations 2nd
order equation
( ) ( )′ = ⇒ = − +sin cosy x y x CExamples
′′ ′= + ⇒ = + + ⇒ = + + +2 3
1 1 26 e 3 e ex x x
y x y x C y x C x C
In the simplest cases, equations may be solved by direct integration.
Observe that the set of solutions to the above 1st
order equation has 1
parameter, while the solutions to the above 2nd
order equation
depend on two parameters.
3. Separable Differential Equations
A separable differential equation can be expressed as
the product of a function of x and a function of y.
( ) ( )
dy
g x h y
dx
= ×
Example:
2
2
dy
xy
dx
=
Multiply both sides by dx and divide
both sides by y2
to separate the
variables. (Assume y2
is never zero.)
2
2
dy
x dx
y
=
2
2y dy x dx−
=
( ) 0h y ≠
4. A separable differential equation can be expressed as
the product of a function of x and a function of y.
( ) ( )
dy
g x h y
dx
= ×
Example:
2
2
dy
xy
dx
=
2
2
dy
x dx
y
=
2
2y dy x dx−
=
2
2y dy x dx−
=∫ ∫
1 2
1 2y C x C−
− + = +
21
x C
y
− = +
2
1
y
x C
− =
+ 2
1
y
x C
= −
+
( ) 0h y ≠
→
Combined
constants
of
integratio
n
Separable Differential Equations
5. Family of solutions (general solution)
of a differential equation
Example
The picture on the right shows some
solutions to the above differential
equation. The straight lines
y = x and y = -x
are special solutions. A unique
solution curve goes through any
point of the plane different from
the origin. The special solutions y
= x and y = -x go both through
the origin.
Cxy
xdxydy
y
x
dx
dy
+=
== ∫ ∫
22
6. Initial conditions
• In many physical problems we need to find the particular
solution that satisfies a condition of the form y(x0)=y0.
This is called an initial condition, and the problem of
finding a solution of the differential equation that
satisfies the initial condition is called an initial-value
problem.
• Example (cont.): Find a solution to y2
= x2
+ C satisfying
the initial condition y(0) = 2.
22
= 02
+ C
C = 4
y2
= x2
+ 4
7. Example:
( )
2
2
2 1 xdy
x y e
dx
= +
2
2
1
2
1
x
dy x e dx
y
=
+
Separable differential equation
2
2
1
2
1
x
dy x e dx
y
=
+∫ ∫
2
u x=
2du x dx=
2
1
1
u
dy e du
y
=
+∫ ∫
1
1 2tan u
y C e C−
+ = +
2
1
1 2tan x
y C e C−
+ = +
2
1
tan x
y e C−
= + Combined constants of integration →
8. Example (cont.):
( )
2
2
2 1 xdy
x y e
dx
= +
2
1
tan x
y e C−
= + We now have y as an implicit
function of x.
We can find y as an explicit function
of x by taking the tangent of both
sides.
( ) ( )2
1
tan tan tan x
y e C−
= +
( )2
tan x
y e C= +
→
9. A population of living creatures normally increases at a
rate that is proportional to the current level of the
population. Other things that increase or decrease at a
rate proportional to the amount present include
radioactive material and money in an interest-bearing
account.
If the rate of change is proportional to the amount present,
the change can be modeled by:
dy
ky
dt
=
→
Law of natural growth or decay
10. dy
ky
dt
=
1
dy k dt
y
=
1
dy k dt
y
=∫ ∫
ln y kt C= +
Rate of change is proportional
to the amount present.
Divide both sides by y.
Integrate both sides.
→
ln y kt C
e e +
= Exponentiate both sides.
C kt
y e e= ⋅
C kt
y e e= ±
kt
y Ae=
11. Real-life populations do not increase forever. There is
some limiting factor such as food or living space.
There is a maximum population, or carrying capacity, M.
A more realistic model is the logistic growth model where
growth rate is proportional to both the size of the
population (y) and the amount by which y falls short of
the maximal size (M-y). Then we have the equation:
)( yMky
dt
dy
−=
Logistic Growth Model
The solution to this differential equation (derived in the textbook):
)0(where,
)(
0
00
0
yy
eyMy
My
y kMt
=
−+
= −
12. A tank contains 1000 L of brine with 15 kg of dissolved
salt. Pure water enters the tank at a rate of 10 L/min.
The solution is kept thoroughly mixed and drains from
the tank at the same rate.
How much salt is in the tank
(a) after t minutes;
(b) after 20 minutes?
This problem can be solved by modeling it as a differential
equation.
(the solution on the board)
Mixing Problems
13. Problem 45.
A vat with 500 gallons of beer contains 4%
alcohol (by volume). Beer with 6%
alcohol is pumped into the vat at a rate of
5 gal/min and the mixture is pumped out
at the same rate. What is the percentage
of alcohol after an hour?
Mixing Problems