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Module 1: Introduction to Differential Equations, Module 2: First-Order Differential Equations, Module 3: Modeling with First-Order Differential Equations
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Ordinary Differential Equation (ODE)
ordinary derivatives w.r.t. 1 Independent Variable (IV)
Partial Differential Equation (PDE)
partial derivatives w.r.t. 2 or more IVs
Normal Form ODE
F: real-value function of n+2
y^(n): highest derivatives in terms of n+1
f:real-valued continuous function
Linear
Steps:
1) Convert given equation to the general linear formula by…
(a) dividing all terms by dx when x = IV
(b) collecting y terms (DV) on the left & x terms (IV) on the right
2) Compare to general linearity formula to verify it matches
Solution
“any function, defined on an interval I, with n continuous derivatives that satisfies the equation identically when substituted into it”
Interval (I)
interval of definition, interval on which a particular solution to the ODE is defined
Verification of Solution
substitute & determine whether each side of the equation is the same for every x in I
Solution Curve
graph of a solution to an ODE
1) They do NOT cross equilibrium lines & can NOT change signs
2) They either always go up or always go down (monotonic) - above or below
3) They eventually settle near equilibrium pts. - Bounded (between c1 & c2)
Implicit Solution
“G(x,y)=0 of an ODE on I given that there exists 1 function that G(x, y(x))=0,” relating x & y w/o explicitly solving for y
Trick: rewrite y as y(x) to indicate that dy/dx will be needed
Families of Solutions
set of relation functions with arbitrary Constant (C)
Singular Solution
solution that’s NOT a member of the family of solution
nth-Order Initial Value Problem (IVP)
“on some interval I containing x0 the problem of solving an nth order differential equation subject to n side conditions specified at x0”
Steps:
1) Plug in 1st Initial Condition (IC)
2) Plug in 1st parameter
3) Differentiate
4) Plug in 2nd IC
5) Plug in 2nd parameter
First-Order IVP
n=1
Solve: dy/dx=f(x,y)
Subject to: y(x0)=y0
Point (pt.)
2nd-Order IVP
n=2
Solve: d²y/dx²=f(x,y,y’)
Subject to: y(x0)=y0,y’(x0)=y1
Slope
Existence & Uniqueness
“Let R be a rectangular region in the xy-plane defined by a ≤ x ≤ b, c ≤ y ≤ d that contains pt. (x0,y0). If f(x,y) & ∂f/∂y are continuous on R, then there exists some I0: (x0 - h, x0 + h), h ≥ 0, contained [a, b] & a unique function y(x)”
Note: I of definition does not have to be as wide as R & the I0 of existence & uniqueness might not be as large as I
Steps:
1) Continuous f(x,y) gives existences, so identify f(x,y)
2) Continuous ∂f/∂y gives uniqueness, so compute ∂f/∂y
3) Find where f(x,y) & ∂f/∂y are continuous
(a) No divisions by 0
(b) No even roots of negative numbers
(c) No logarithms of zero or negative numbers.
(d) No undefined expressions like 0/0 or ∞/∞
(e) No discontinuities in trigonometric functions (e.g., avoid tan(x) at x=2π+kπx ).
Population Growth
“rate of population growth at a time is proportional to the population at that time”
P(t) = population at time (t)
k = constant of probability
P(t) = P0(t)ekt
Note: It is decay if k < 0.
Radioactive Decay
“the rate dA/dt at which the nuclei of a substance decay is proportional to the amount A(t) of the substance remaining at time t”
A(t) = A0e-kt
Compound Growth
“growth of capital S when annual rate of interest r is compounded”
Newton’s Empirical Law of Cooling/Warming
“the rate at which temperature (temp.) of a body changes is proportional to the difference between temp. of body & ambient temp.”
T(t) = Tm + (T0 -Tm)ekt
T(t) = temp. of body at time t
Tm = ambient temp.
k = constant of probability
k > 0: warming
k < 0: cooling
Spread of Disease
“the rate dx/dt in which the disease spread is proportional to the number (#) of interactions between diseased people x(t) & unexposed people y(t)”
1st Order Chemical Reactions
“disintegration of a radioactive substance”
X(t) = amount of substance A at any time t
k = negative constant
2nd Order Chemical Reactions
“disintegration of a radioactive substance”
X(t) = amount of C at time t
α = amount of A
β = amount of B
α - X = amount of A not converted to C
β - X = amount of B not converted to C
Mixture
“the amount of salt in a mixture of 2 salt solutions of differing concentrations”
A(t) = amount of salt in tank at time t
Rin = input rate of salt
Rout = output rate of salt
R = concentration * rate
Draining a Tank
“Torricelli’s Law states that the speed of which a fluid flows out of a hole of a container is equal to the speed of it falling freely from the height of the fluid’s surface to the level of the hole.”
Ah = area (ft3) of hole
v = √2gh = speed (ft/s) of water leaving the tank
V(t) = Awh = volume of water leaving the tank at time t
LRC Series Circuit
“Kirchoff’s 2nd Law states the impressed voltage E(t) in a closed loop equals the sum of the voltage drop.”
E(t) = impressed voltage
i(t) = current in closed circuit
q(t) = charge incapacitor at time t
L = inductance
R = Resistance
C = Capacitance
LR Series Circuit
E(t) = impressed voltage
i(t) = current in closed circuit
q(t) = charge incapacitor at time t
L = inductance
R = Resistance
RC Series Circuit
E(t) = impressed voltage
i(t) = dq/dt current in closed circuit
R = Resistance
C = Capacitance
Falling Bodies
“Newton’s 1st law states a body in motion remains in motion & a body at rest remains at rest unless acted upon by a force. Newton’s 2nd Law states Force = mass * acceleration.”
s(t) = height position of falling object (obj.)
d2s/dt2 = acceleration of falling obj.
Falling Bodies w/ Air Resistance
“when air is proportional to velocity”
mg = F1 = W
-kv = F2 = viscous damping
W = weight
m = mass
g = gravity
s(t) = distance body falls
ds/dt = v = velocity
d2s/dt2 = dv/dt = a = acceleration
Suspended Cables
“3 forces act on the cables - tension T1 (tangent to P1), tension T2 (tangent to P2), & Weight W (between P1 & P2)
T1 = cosθ
W = T2sinθ
tanθ = W/T1
Lineal Element
“the value f(x,y) that the function f assigns to the pt. represents the slope of the line segment,” dy/dx = m
Note: passing through pts. on any horizontal line must have the same slope & is parallel; slope of lineal along any vertical line vary
Direction Field / Slope Field
“collection of all line elements at each pt. (x, y) of a rectangular grid w/ slope f(x,y); appearance/shape of a family of solution curves of the differential equation”
“A single solution curve that passes through a direction field must follow the flow pattern of the field; it is tangent to a lineal element when it intersects a point in the grid”
Note: both definitions are true, recall whichever phrasing is the most helpful for you
Autonomous
an ODE in which the IV does not appear explicitly
Phase Line Example
P(a - bP) = 0 → P = 0, a/b
Interval | Sign of f(P) | P(t) | Arrow
(-∞, 0) | minus | decreasing | down
(0, a/b) | plus | increasing | up
(a/b, ∞) | minus | decreasing | down
Asymptotically stable/Attractor, Unstable/Repeller, Semi-Stable
Asymptotically stable/Attractor: when the arrowhead of both sides point towards c; lim x→∞ y(x) = c
Unstable/Repeller: when the arrowheads of both side point away c
Semi-Stable: both attracts & repels
Translation Property (of an autonomous DE)
“If y(x) is a solution of an autonomous DE dy/dx = f(y), then y(x) =y(x -k), k = constant, is also a solution.”
Separable 1st Order DE
can be separated as a product of a function of x & a function of y (can be linear or nonlinear)
Steps:
1) Separate y terms on the right & x terms on the left
2) Integrate
3) If asked, solve for y
Integral Defined Function
Linear 1st Order DE
Follows the linear general formula: a1(x)(dy/dx) + a0(x)y = g(x)
Steps:
1) Put into standard form; (dy/dx) + P(x)y = f(x)
2) Identify P(x) & find the integrating factor: μ = e∫P(x)dx
3) Multiply both sides of the standard form by the integrating factor. The LHS of the resulting equation is the derivative of the product of integrating factor & y.
4) Integrate both sides of the last equation.
5) If asked, solve for y
Transient Terms
We say that ce-x is a transient term, since e-x → 0 as x → ∞
Error Function
defined in terms of nonelementary integrals
Exact 1st Order DE
Differential is continuous & has continuous 1st partial derivatives in R defined by a < x < b & c < y < d on some function f(x,y)
Steps:
1) Set in Exact Equation
2) Integrate w.r.t. x / Integrate w.r.t. y
3) Partial Differentiate w.r.t. y / Partial Differentiate w.r.t. x
4) Integrate h’(y) / Integrate g’(x)
5) Final answer = C
Homogenous 1st Order DE
Homogenous & Exact 1st Order DE
The Exact equation, M(x,y)dx + N(x,y) = 0, is Homogenous if the coefficient functions M(x,y) & N(x,y) are homogenous functions of the same degree (where α is equal to one another)
Substitute y = ux or x = vy
Bernoulli 1st Order DE
Can be reduced to a linear equation by means of substitution (linear & separable)
How do you determine which 1st - Order DE strategy to implement?
1) Separability → Separable
2) Linearity → Linear
3) Exactness (w/ or w/o Integrating Factor) → Exact
4) Single Nonlinearity → Bernoulli
Euler’s Method
Linearization of the unknown solution of y’(x) = f(x, y) , y(x0) = y0
Absolute Error, Relative Error, Percentage Relative Error
Half-Life
“time it takes for ½ of the atoms in an initial amount A0 of a radioactive substance to transmute into the atoms of another element,” measuring the stability of a radioactive substance
Carbon Dating
“comparing the proportionate amount of C-14 in a fossil w/ constant ratio found in the atmosphere to estimate an age”