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Solution to \( y' = ay + b \) (Continued)

Last time:

\[ \frac{dy}{dt} = -2y + 5 \]
Solution: \( y(t) = \frac{5}{2} + C e^{-2t} \)
“general solution”

\( \rightarrow \) infinitely-many curves, depending on \( C \)

Concept Note

The constant \( C \) is an arbitrary constant of integration. Varying \( C \) generates a one-parameter family of integral curves.

To find \( C \), normally we need an initial condition \( y(0) = y_0 \)

\( \rightarrow \) this is now an initial-value problem (IVP)

Example

For example, suppose \( y(0) = 1 \) for the differential equation \( y' = -2y + 5 \):

\[ y(t) = \frac{5}{2} + C e^{-2t} \]
\[ y(0) = 1 = \frac{5}{2} + C e^0 = \frac{5}{2} + C \implies C = -\frac{3}{2} \]
So, \[ y(t) = \frac{5}{2} - \frac{3}{2} e^{-2t} \]
“particular solution”
(one out of the general)

Key Distinction

A general solution contains arbitrary constants, whereas a particular solution is fixed to a single curve passing through the specified initial state.

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Physical Interpretation: Free Fall with Air Resistance

Let’s interpret \( \frac{dy}{dt} = -2y + 5 \) in the context of free fall:

Free-body diagram of a falling body showing upward drag force  c v  and downward gravity  m g
Figure: Free-body diagram of a falling body showing upward drag force \( c v \) and downward gravity \( m g \) Show Details
Free-body diagram illustrating the forces acting on a falling object: downward gravitational force \( m g \) and opposing upward drag/resistance force \( c v \).
\[ \frac{dv}{dt} = g - \frac{c}{m} v \]

\( \frac{dy}{dt} = -2y + 5 \) is equivalent to:

  • \( g = 5 \)
  • \( \frac{c}{m} = 2 \) (resistance due to air is twice the mass)

Behavior of the Particular Solution

\[ y(t) = \frac{5}{2} - \frac{3}{2} e^{-2t}, \quad y(0) = 1 \]
Graph of the solution curve  y(t)  starting at  (0, 1)  and asymptotically approaching  y = \frac{5}{2}
Figure: Graph of the solution curve \( y(t) \) starting at \( (0, 1) \) and asymptotically approaching \( y = \frac{5}{2} \) Show Details
Coordinate plot showing the solution trajectory on the \( (t, y) \) plane. Starting at the initial value \( y(0) = 1 \), the curve asymptotically increases towards the horizontal asymptote at \( y = \frac{5}{2} \) as time \( t \to \infty \).

As \( t \to \infty \), \( e^{-2t} \to 0 \)

So \( y \to \frac{5}{2} \)

Terminal Velocity

As \( t \to \infty \), the exponential decay term \( e^{-2t} \) approaches zero, meaning the velocity \( y(t) \) converges to its equilibrium (terminal) velocity \( v_{\text{term}} = \frac{5}{2} \).

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Terminal Velocity & Differential Equation Analysis

In this case, we started w/ initial velocity of \( 1 \). Then as time goes on, we pick up more velocity and eventually approach \( \frac{5}{2} \) but never more \( \to \) terminal velocity.

\[ \frac{dv}{dt} = g - \frac{c}{m}v \]

Constant battle between \( g \) (gravity) and \( \frac{c}{m}v \) (drag)

Physical Meaning: The parameter \( g \) represents acceleration due to gravity, while \( -\frac{c}{m}v \) represents viscous air resistance (drag) opposing the direction of motion, proportional to velocity.

Direction Field & Equilibrium Velocity

Figure: direction field and phase curve plot for velocity approaching terminal velocity  v = \frac{mg}{c}
Figure: Figure: direction field and phase curve plot for velocity approaching terminal velocity \( v = \frac{mg}{c} \) Show Details
Coordinate graph showing velocity \( v(t) \) versus time \( t \). The horizontal dashed line represents the stable equilibrium velocity \( v = \frac{mg}{c} \) where \( v' = 0 \). In the upper region where drag dominates (\( v > \frac{mg}{c} \)), slope field vectors point downward causing solutions to decrease asymptotically toward \( \frac{mg}{c} \). In the lower region where weight dominates (\( v < \frac{mg}{c} \)), slope field vectors point upward causing solutions to increase asymptotically toward \( \frac{mg}{c} \).

Equilibrium Condition:

\[ v' = 0 \implies v = \frac{mg}{c} \]
  • Drag dominates: When \( v > \frac{mg}{c} \), \( v' < 0 \), so velocity decreases toward \( \frac{mg}{c} \).
  • Weight dominates: When \( v < \frac{mg}{c} \), \( v'> 0 \), so velocity increases toward \( \frac{mg}{c} \).

Population Dynamics Interpretation

Another interpretation of \( \frac{dy}{dt} = ay + b \):

In terms of population, rate is proportional to \( a \) times size plus a constant addition (\( b > 0 \)) at all times.

Concept Breakdown: Here, \( ay \) represents endogenous exponential population growth or decline, while \( b \) represents a continuous constant immigration rate (if \( b > 0 \)) or emigration/harvesting rate (if \( b < 0 \)).

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Classification of Diff. Eqs.

Two main types:

Ordinary Diff. Eq. (ODE)

  • Only contain ordinary derivatives
  • Solution is single-variable

Partial Diff. Eq. (PDE)

  • Can contain partial derivatives
  • Solution is multivariate

In MA 36600, we study ODE (in MA 30300 there is PDE).

Some Example ODEs:

List of example ordinary differential equations, their physical laws, and solution variables
Differential Equation Physical Law / System Solution Form
\( \frac{dv}{dt} = g - \frac{c}{m}v \) Falling body with air resistance \( v(t) \)
\( \frac{dT}{dt} = k(T - T_{\text{env}}) \) Newton's Law of Cooling \( T(t) \)

Newton's Law of Cooling: States that the rate of heat loss of a body is directly proportional to the difference in the temperatures between the body \( T(t) \) and its surrounding environment \( T_{\text{env}} \), where \( k \) is a thermal transfer constant.

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Differential Equations: Order and Linearity

Classification by Type, Order, and Linearity

Example Partial Differential Equation (PDE)

Wave Equation

$$a^2 \frac{\partial^2 y(x,t)}{\partial x^2} = \frac{\partial^2 y(x,t)}{\partial t^2}$$

Solution: \( y(x,t) \)

A partial differential equation (PDE) contains partial derivatives with respect to multiple independent variables (here, position \( x \) and time \( t \)).

Order of a Differential Equation

Order of a diff. eq.: order of the highest derivative

Examples of Differential Equations and their respective Orders
Differential Equation Type & Order
$$\frac{dv}{dt} = g - \frac{c}{m} v$$ 1st order ODE
$$m y'' + c y' + k y = 0$$ 2nd order ODE
$$a^2 \frac{\partial^2 y}{\partial x^2} = \frac{\partial^2 y}{\partial t^2}$$ 2nd order PDE

Linear vs. Nonlinear

• In linear eqs., the coefficients of the dependent variable and its derivatives (e.g., \( y, y', y'', \text{etc.} \)) do not contain the dependent variable and its derivatives.

Linear equations only allow dependent variables and their derivatives to appear to the first power, without products or nonlinear functions (such as \( \sin y \) or \( e^y \)) of them.
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Linear vs. Nonlinear: Illustrative Examples

Step-by-step coefficient analysis for testing linearity

Linear Differential Equations

Example 1

$$x^2 y'' + (\cos x) y' + 5 y = e^x$$

Do the coefficients \( x^2 \), \( \cos x \), \( 5 \), and the right-hand side \( e^x \) contain \( y, y', y'', \text{etc.} \)?

NO. So this eq. is linear.

Example 2

$$y''' + (\sin x) y = e^{x^2} \tan x$$
Linear

Nonlinear Differential Equations

Example 3

$$y'' + (y')^2 + y = 0$$
$$y'' + \underbrace{(y')}_{\text{coeff. } y' \text{ contains } y'} y' + y = 0 \quad \implies \quad \textbf{nonlinear}$$
Because \( (y')^2 = (y') \cdot y' \), the effective coefficient multiplying the derivative \( y' \) is \( y' \) itself, which violates linearity.

Example 4

$$y'' + \underbrace{\sin y}_{\text{this makes the eq. nonlinear}} = 0$$
$$y'' = -\sin y$$

(Like \( e^x \) in the 1st example, but here the function contains the dependent variable \( y \).)

Therefore, this equation is nonlinear.

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Solutions to Differential Equations

Solution:

A function that satisfies the differential equation.

For example, \( y = e^t \) is a solution to \( y' = y \)

(so is \( 2e^t \), \( 3e^t \), etc.)

For example, for the equation \( y'' = y \):

\( y = e^t \) and \( y = e^{-t} \) are two possible solutions.

For the equation \( y'' = -y \):

\( y = \cos x \) is a solution; so is \( y = \sin x \).

(Part of this course is on techniques to find the solutions systematically.)

Homogeneous vs. Nonhomogeneous

If written in the form of

\[ F(y, y', y'', y''', \text{etc.}) = g(x) \]

where \( g(x) = 0 \), then the equation is homogeneous.

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Homogeneous vs. Nonhomogeneous Examples

\[ \underbrace{y'' + 2y' - 3y}_{F(y, y', y'')} = \underbrace{\cos x}_{\text{Is this } 0\text{?}} \]

If \( g(x) = 0 \):

The equation is homogeneous.

If \( g(x) \neq 0 \):

The equation is nonhomogeneous.

Since \( \cos x \neq 0 \), the equation \( y'' + 2y' - 3y = \cos x \) is nonhomogeneous.

\[ y'' + 2y' - 3y = 0 \quad \text{is homogeneous} \]