1st order ODE Flashcards
N(y) * dy/dx = M(x)
This is a separable equation
P(t)y’’ + Q(t)y’ + R(t)y = S(t)
This is a linear equation
dy/dt = f(y)
This is an autonomous equation.
M(x,y) + N(x,y)*dy/dx = 0
This is an exact equation
How do you solve for a separable equation
N(y) * dy/dx = M(x)
To solve, ‘separate’ the dy/dx and integrate both sides
How do you solve for a linear equation?
P(t)y’’ + Q(t)y’ + R(t)y = S(t)
Use the integrating factor method (multiply both sides of the equation by μ)
How do you solve for an autonomous equation?
dy/dt = f(y)
An autonomous differential equation is always separable, and can be solved as such
How do you solve an exact equation? (Not the long method)
M(x,y) + N(x,y)*dy/dx = 0
Check to see if M_y = N_x.
If true, you can say that phi_x = M, phi_y = N, and phi = some constant (c)
Once you’ve established this, you can essentially solve for phi as if it were a potential function
How do you solve an exact equation? (The long method)
M(x,y) + N(x,y)*dy/dx = 0
Check to see if M_y = N_x.
if false, you need to see if (M_y - N_x)/N only depends on x
if THIS is true, then you can a) set μ = e^(∫(M_y - N_x)/N dx) b) multiply everything by this μ
And then you can say that phi_x = Mhat, phi_y = Nhat, and phi = some constant (c), where the hat represents the variable multiplied by this mu
Once you’ve established this, you can essentially solve for phi as if it were a potential function
Equilibrium solutions (For autonomous equations)
They are constant solutions that correspond to no change or variation in the value of y as t increases. They’re also known as critical numbers, and can be found by locating the roots of f(y) = 0
Phase Line (for autonomous equations)
indicates where y is increasing/decreasing via arrows on the y-axis of a graph plotting y vs. t
asymptotically stable (for autonomous equations)
Whenever a graph of y vs. t converges on an equilibrium point
asymptotically unstable (for autonomous equations)
Whenever a graph of y vs t diverges away from an equilibrium point
asymptotically semi-stable (for autonomous equations)
whenever a graph of y vs. t converges on one side, and diverges on another