Differential Equations I Flashcards

1
Q

Define a Lipschitz function

A

A function f : R2 → R, satisfies a Lipschitz condition (with Lipschitz constant L) if there exists L > 0 such that |f(x, y1) − f(x, y2)| ≤ L|y1 − y2| for all x ∈ R and all y1, y2 ∈ R.

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2
Q

State Picard’s Theorem

A

Let f : R → R be a function defined on the rectangle R := {(x, y) : |x − a| ≤ h, |y − b| ≤ k} which satisfies:
P(i): f is continuous in R with |f(x, y)| ≤ M for all (x, y) ∈ R, where Mh ≤ k
P(ii): f satisfies a Lipschitz condition in R.
Then the IVP y’(x) = f(x, y(x)) with y(a) = b. has a unique solution y on the interval [a-h, a+h].

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3
Q

State Gronwall’s Inequality

A

Suppose A,B ≥ 0 are constants and v is a non-negative continuous function satisfying v(x) ≤ B + A|integral from x to a of v(s)| for all x in interval [a − h1, a + h2], h1,h2 ≥ 0. Then v(x) ≤ Be^(A|x−a|) for all x ∈ [a − h1, a + h2].

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4
Q

State the comparison principle

A

Let g: R2 → R be continuously differentiable and let u(x) and v(x) be differentiable functions which satisfy u’(x) ≤ g(x, u(x)) and v’(x) ≥ g(x, v(x)) on some interval I. If u(x0) ≤ v(x0) for some x0 ∈ I then we obtain that u(x) ≤ v(x) for all x ∈ I with x ≥ x0 while if u(x0) ≥ v(x0) then we obtain that u(x) ≥ v(x) for all x ∈ I with x ≤ x0.

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5
Q

Define a plane autonomous system

A

A plane autonomous system of ODEs is a pair of ODEs in the form: dx/dt = X(x,y) and dy/dt = Y(x,y)

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6
Q

Define a critical point of a plane autonomous system

A

A point (x0, y0) in the phase plane where X(x0, y0) = Y (x0, y0) = 0, so is a point where the solution is constant for all time.

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7
Q

Define a stable critical point

A

A critical point (a, b) is stable if for all ϵ > 0 there exists δ > 0 and t0 such that sqrt[(x(t0) − a)^2 + (y(t0) − b)^2] < δ implies that sqrt[(x(t) − a)^2 + (y(t) − b)^2] < ϵ, ∀t > t0.

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8
Q

Define an unstable critical point

A

A critical point (a, b) is unstable if there exists ϵ > 0 such that for all δ > 0 and t0 where sqrt[(x(t0) − a)^2 + (y(t0) − b)^2] < δ, also sqrt[(x(t) − a)^2 + (y(t) − b)^2] ≥ ϵ, ∀t > t0.

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9
Q

Given Z(t) = (c1)(Z1)e^(λ1)t + (c2)(Z2)e^(λ2)t, where 0 < λ1 < λ2, classify the critical point.

A

Unstable node, with all curves except that on Z1 tending to Z2.

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10
Q

Given Z(t) = (c1)(Z1)e^(λ1)t + (c2)(Z2)e^(λ2)t, where λ1 < λ2 < 0, classify the critical point.

A

Stable node, with all curves except that on Z2 coming from the Z1 direction.

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11
Q

Given Z(t) = (c1)(Z1)e^(λ1)t + (c2)(Z2)e^(λ2)t, where λ1 = λ2 = λ, classify the critical point.

A

If M-λI = 0, we can write Z(t) = Ce^(λt) and it is a star, otherwise it is an inflected node. In both cases, if λ > 0, it is unstable and if λ < 0, it is stable.

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12
Q

Given Z(t) = (c1)(Z1)e^(λ1)t + (c2)(Z2)e^(λ2)t, where λ1 < 0 < λ2, classify the critical point.

A

Saddle.
If c1 = 0, Z(t) → 0,∞ along Z2.
If c2 = 0, Z(t) → 0,∞ along Z1.
Otherwise, Z(t) → 0 along Z1 and Z(t) → ∞ along Z2.

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13
Q

Given Z(t) = (c1)(Z1)e^(λ1)t + (c2)(Z2)e^(λ2)t, where λ1, λ2 are complex are their real parts are 0, classify the critical point.

A

Centre (periodic)
If the second entry of M is positive, it is clockwise, if it is negative, it is anticlockwise

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14
Q

Given Z(t) = (c1)(Z1)e^(λ1)t + (c2)(Z2)e^(λ2)t, where λ1, λ2 are complex are their real parts are non-zero, classify the critical point.

A

Spiral
If real part is positive, unstable
If real part is negative, stable
If the second entry of M is positive, it is clockwise, if it is negative, it is anticlockwise

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15
Q

State Bendixson-Dulac’s Theorom

A

Consider the system dx/dt = X(x,y) and dy/dt = Y(x,y), with X, Y ∈ C1. If there exists a function φ(x, y) ∈ C1 with
ρ = ∂/∂x(φX) + ∂/∂y(φY ) > 0 in a simply connected region R then there can be no nontrivial closed trajectories lying entirely in R.

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16
Q

Give the general form of a linear first order PDE

A

P(x, y)∂z/∂x + Q(x, y)∂z/∂y = R(x, y, z(x, y)), for some function z.

17
Q

Define a semi-linear PDE

A

A PDE is said to be semi-linear if it is linear in the highest order partial derivatives and the coefficients of the highest order partial derivatives depend only on x and y.

18
Q

Define a characteristic curve of a semi-linear PDE

A

Given the PDE P(x, y)∂z/∂x + Q(x, y)∂z/∂y = R(x, y, z(x, y)), the curve Γ = (x(t), y(t), z(t)), where x(dot) = P(x, y), y(dot) = Q(x, y) and z(dot) = R(x, y, z) is the characteristic curve.

19
Q

Define a characteristic projection

A

Given a characteristic (x(t), y(t), z(t)), the characteristic projection is the curve (x(t), y(t))

20
Q

Define Cauchy data

A

If P(x, y)y_s − Q(x, y)x_s ≠ 0 on the data curve, we say the data is Cauchy.

21
Q

Define the domain of definition

A

The region of the (x,y) plane where the solution is determined uniquely by the data.

22
Q

Give the general form of a second order semi-linear PDE

A

a(x,y)u_xx + 2b(x,y)u_xy + c(x,y)u_yy = f(x,y,u,u_x,u_y)

23
Q

Given a(x,y)u_xx + 2b(x,y)u_xy + c(x,y)u_yy = f(x,y,u,u_x,u_y), classify the PDE

A

If ac < b^2: hyperbolic
If ac > b^2: elliptic
If ac = b^2: parabolic

24
Q

Give the normal form of a hyperbolic equation

A

uφψ = G(φ, ψ, u, uφ, uψ).

25
Q

Give the normal form of an elliptic equation

A

uζζ + uηη = H(ζ, η, u, uζ , uη)

26
Q

Give the normal form of a parabolic equation

A

uψψ = G(u, φ, ψ, uφ, uψ).

27
Q

State the maximum principle for the Laplacian

A

Suppose u satisfies uxx + uyy ≥ 0, for all (x, y) in some domain D. Then u attains its maximum value on ∂D.

28
Q

State the maximum principle for the heat equation

A

Suppose that u satisfies ut − uxx ≤ 0 in a region D bounded by the lines t = 0, t = τ > 0, and two non-intersecting smooth curves C1 and C2 that are nowhere parallel to the x-axis. Then u takes its maximum value either on t = 0 or on one of the curves C1 or C2.