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Impulse forcing

Impulse force is an external force acting on a which is very large at one moment and is zero any other time.

 very large, t = a; g(t) = 0, t 6= a.

δ-function (Delta function)  ∞, t = a; Z ∞ δa(t) = , and δa(t)dt = 1. 0, t 6= a. −∞

−as Formulas: L[δa(t)] = e , L[δ0(t)] = 1.

L[δa(t)] = sL[ua(t)]: Delta function is the derivative of Heaviside function.

00 0 0 Example 11: y + 2y + 5y = δ3(t), y(0) = 1, y (0) = 1. 00 0 Example 12: y + 4y = δ4(t), y(0) = 0, y (0) = 0. Qualitative behavior: Before the impulse, the equation is “normal” at the impulse, the derivative of the solution has a sudden change due to the impulse force, but the solution is still continuous.

Similarity: 0 0 y = ua(t) (continuous not differentiable), y = δa(t) (not continuous at t = a) 00 00 y = ua(t) (continuous and differentiable), y = δa(t) (continuous not differentiable) Qualitative behavior

00 0 Example 13: y + 4y = u5(t) sin(3(x − 5)), y(0) = 2, y (0) = 0. Solution: y(t) = 2 cos(2t) + 0.3u5(t) sin(2(t − 5)) − 0.2u5(t) sin(3(t − 5)). Qualitative: the external force is continuous, so y, y 0 and y 00 are all continuous, and y 000 is discontinuous at t = 5.

00 0 0 Example 14 y + 2y + 5y = δ3(t), y(0) = 1, y (0) = 1. Solution: −t −t −(t−3) y(t) = e cos(2t) + e sin(2t) + 0.5u3(t)e sin(2(t − 3)) Qualitative: the external force is impulsive, so y 00 is impulsive, y 0 is discontinuous, and y is continuous Final Exam

Final Exam: Dec. 13 (Friday), 9-12am, this classroom (Jones 306) any change must be approved by Dean of Students 3 sample exams are at webpage and solution keys are at Blackboard website

Final Exam Office Hours: Dec. 11 (Wednesday) 4-6pm, Jones Hall 100B Dec. 12 (Thursday) 10-12am, 3-6pm, Jones Hall 100B

Composition of the exam:

Chapter 1 ≈ 25%, Chapter 2-3 ≈ 25% Chapter 4-5 ≈ 25%, Chapter 6 ≈ 25%

About 12 − 15 short problems, 4 − 5 longer problems. similar to Fall 2003, Fall 2004, Fall 2016 final exams (see Webpage/Blackboard)

A table of Laplace transform will be given to you in exam (page 626 of textbook) But not other formula sheets (trigonometric formulas, , derivatives) Chapter 1

1 Analytic methods: , linear equation (, homogeneous/nonhomogeneous) 2 Numerical method: Euler’s method for scalar equations 3 Qualitative methods: slope field, graph of solutions, phase line, equilibrium points and their stability (sink, source, node), asymptotic behavior of the solutions, bifurcation, linearization; 4 Modeling: population models (Malthus, logistic, logistic with harvesting), mixing problems (constant volume, varying volume), banking problems (saving, withdrawing, mortgage); 5 Existence, uniqueness and the defining domain of the solution. Chapter 2-3

1 Analytic methods: vector form of system, converting 2nd order equation to 1st order system, equilibrium solutions for systems, decoupled systems, eigenvalues and eigenvectors for 2 × 2 matrix, linear principle, solve linear systems (first order, two-variables) (eigenvalues, eigenvectors) det(A − λI ) = 0, (A − λ1)V1 = 0, (A − λ2)V2 = 0 λ t λ t Real eigenvalues: Y(t) = c1e 1 V1 + c2e 2 V2 λ t Complex eigenvalues: Y(t) = e 1 V1 = Yr + iYi , Y (t) = c1Yr + c2Yi λ t λ t Repeated eigenvalues: Y(t) = c1e 1 V1 + c2e 2 (tV1 + V2) (A − λI )V2 = V1. 2 Qualitative methods: , phase portrait, solution curve, phase portrait of linear systems, straight line solutions, types of linear systems, asymptotic behavior of solutions of linear systems, clockwise or counterclockwise Type of linear systems: sink, source, saddle, spiral sink, spiral source, degenerate sink(source), trying to spiral sink(source), center, star sink(source), parallel lines 3 Modeling: predator-prey system, mass-spring system, linear systems. Chapter 4-5 and section 3.6

Summary of Chapter 4: y 00 + py 0 + qy = f (t)

1 Analytic methods: solution of homogeneous and inhomogeneous equations, undetermined coefficient method, frequency of beats 00 0 2 λ t λ t y + py + qy = 0: λ + pλ + q = 0, y = c1e 1 + c2e 2 00 0 λ t λ t y + py + qy = f (t): y = c1e 1 + c2e 2 + yp(t) at at at particular solution yp: e 7→ ke or kte , sin(at) (or cos(at)) 2 2 7→ k1 sin(at) + k2 cos(at), at + bt + c 7→ At + Bt + C. 2 Qualitative methods: underdamped, overdamped and critically damped oscillations, asymptotic behavior of solutions (harmonic oscillators), resonance, beats. 3 Models: Forced harmonic oscillators Summary of Chapter 5: x0 = f (x, y), y 0 = g(x, y)

1 Analytic methods: find nullclines, equilibrium points, Hamiltonian systems and dissipative systems 2 Qualitative methods: nullclines, equilibrium points, direction of vector field, Jacobian, linearization, bifurcation. 3 Models: competition model, cooperative model, Chapter 6

y 0 + qy = f (t), y(0) = a, y 00 + py 0 + qy = f (t), y(0) = a, y 0(0) = b Z ∞ 1 Definition of Laplace transform L[y(t)] = Y (s) = y(t)e−st dt, Heaviside 0 function and piecewise defined functions, Dirac-delta function 2 Methods to solve inverse transform: partial fractions, completing the square −as 3 Shifting formulas: if L[f (t)] = F (s), then L[ua(t)f (t − a)] = e F (s) and L[eat f (t)] = F (s − a). 4 A table of Laplace transform will be given to you in exam (page 626 of textbook)