1 First-order Odes 2 Second-order Linear Odes 3 Higher Order Linear Odes 4 Systems Of Odes. Phase Plane. Qualitative Methods 5 Series Solutions Of Odes. Special Functions 6 Laplace Transforms 7 Linear Algebra: Matrices, Vectors, Determinants. Linear Systems 8 Linear Algebra: Matrix Eigenvalue Problems 9 Vector Differential Calculus. Grad, Div, Curl 10 Vector Integral Calculus. Integral Theorems 11 Fourier Analysis. Partial Differential Equations (pdes) 12 Partial Differential Equations (pdes) 13 Complex Numbers And Functions 14 Complex Integration 15 Power Series, Taylor Series 16 Laurent Series. Residue Integration 17 Conformal Mapping 18 Complex Analysis And Potential Theory 19 Numerics In General 20 Numeric Linear Algebra 21 Numerics For Odes And Pdes 22 Unconstrauined Optimization. Linear Programming 23 Graphs. Combinatorial Optimization 24 Data Analysis. Probability Theory 25 Mathematical Statistics Chapter2: Second-order Linear Odes
2.1 Homogeneous Linear Odes Of Second Order 2.2 Homogeneous Linear Odes With Constant Coefficients 2.3 Differential Operators 2.4 Modeling Of Free Oscillators Of A Mass-spring System 2.5 Euler-cauchy Equations 2.6 Existence And Uniqueness Of Solutions. Wronskian 2.7 Nonhomogeneous Odes 2.8 Modeling: Forced Oscillations. Resonance 2.9 Modeling: Electric Circuits 2.10 Solution By Variation Of Parameters Chapter Questions Section: Chapter Questions
Problem 1RQ Problem 2RQ Problem 3RQ: By what methods can you get a general solution of a nonhomogeneous ODE from a general solution of a... Problem 4RQ Problem 5RQ Problem 6RQ Problem 7RQ: Find a general solution. Show the details of your calculation.
4y″ + 32y′ + 63y = 0
Problem 8RQ: Find a general solution. Show the details of your calculation.
y″ + y′ − 12y = 0
Problem 9RQ: Find a general solution. Show the details of your calculation.
y″ + 6y′ + 34y = 0
Problem 10RQ: Find a general solution. Show the details of your calculation.
y″ + 0.20y′ + 0.17y = 0
Problem 11RQ: Find a general solution. Show the details of your calculation.
(100D2 − 160D + 64I)y = 0
Problem 12RQ: Find a general solution. Show the details of your calculation.
(D2 + 4πD + 4π2I)y = 0
Problem 13RQ: Find a general solution. Show the details of your calculation.
(x2D2 + 2xD − 12I)y = 0
Problem 14RQ: Find a general solution. Show the details of your calculation.
(x2D2 + xD − 9I)y = 0
Problem 15RQ Problem 16RQ Problem 17RQ Problem 18RQ: Find a general solution. Show the details of your calculation.
yy″ = 2y′2
Problem 19RQ: Solve the problem, showing the details of your work. Sketch or graph the solution.
y″ + 16y =... Problem 20RQ: Solve the problem, showing the details of your work. Sketch or graph the solution.
y″ − 3y′ + 2y =... Problem 21RQ: Solve the problem, showing the details of your work. Sketch or graph the solution.
(x2D2 + xD − I)y... Problem 22RQ: Solve the problem, showing the details of your work. Sketch or graph the solution.
(x2D2 + 15xD +... Problem 23RQ: Find the steady-state current in the RLC-circuit in Fig. 71 when R = 2Ω (2000 Ω), L = 1 H, C = 4 ·... Problem 24RQ: Find a general solution of the homogeneous linear ODE corresponding to the ODE in Prob. 23.
25. Find... Problem 25RQ: Find the steady-state current in the RLC-circuit in Fig. 71 when R = 50 Ω, L = 30 H, C = 0.025 F, E... Problem 26RQ: Find the current in the RLC-circuit in Fig. 71 when R = 40 Ω, L = 0.4 H, C = 10−4 F, E = 220 sin... Problem 27RQ Problem 28RQ Problem 29RQ Problem 30RQ Problem 1RQ
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This is a practice question from my Differential Equations course. The textbook is very poor at explaining things; so I don't even know where to start here. Please explain what you're doing (and why) as you go along so that I can learn it.
Thank you for your help.
Transcribed Image Text: 27. (a) Apply Theorem 1 to show that
n
L{th eat} = ·L{tn-1 eat}.
sa
(b) Deduce that L{t¹eªt} = n!/(s − a)¹+¹ for n = 1, 2,
3, ....
Transcribed Image Text: THEOREM 1 Transforms of Derivatives
Suppose that the function f(t) is continuous and piecewise smooth for t≥ 0 and
is of exponential order as t → +∞, so that there exist nonnegative constants M,
c, and T such that
Then L{f'(t)} exists for s > c, and
L{f' (t)} =sL{ƒ(t)} − ƒ(0) = sF (s) — ƒ (0).
(4)
The function f is called piecewise smooth on the bounded interval [a, b] if it
is piecewise continuous on [a, b] and differentiable except at finitely many points,
with ƒ'(t) being piecewise continuous on [a, b]. We may assign arbitrary values
to f(t) at the isolated points at which ƒ is not differentiable. We say that f is
piecewise smooth for t≥ 0 if it is piecewise smooth on every bounded subinterval
of [0, +∞). Figure 4.2.1 indicates how "corners" on the graph of f correspond to
discontinuities in its derivative f'.
The main idea of the proof of Theorem 1 is exhibited best by the case in which
f'(t) is continuous (not merely piecewise continuous) for t≥ 0. Then, beginning
with the definition of L{ƒ'(t)} and integrating by parts, we get
and thus
L{f'(t)} =
= 1. e¯st f'(t) dt = [e¯st f(t)] + s
t-0
Because of (3), the integrated term e-st f(t) approaches zero (when s> c) as t →
+∞, and its value at the lower limit t = 0 contributes -f(0) to the evaluation of
the preceding expression. The integral that remains is simply L{f(t)}; by Theorem
2 of Section 4.1, the integral converges when s> c. Then L{f'(t)} exists when
s > c, and its value is that given in Eq. (4). We will defer the case in which f'(t)
has isolated discontinuities to the end of this section.
Solution of Initial Value Problems
In order to transform Eq. (1), we need the transform of the second derivative as
well. If we assume that g(t) = f'(t) satisfies the hypotheses of Theorem 1, then
that theorem implies that
|f(t)| ≤ Mect for t≥ T.
k
L{f(n) (t)}
n=1
A repetition of this calculation gives
L{f""(t)} = sL{f"(t)} − ƒ" (0) = s³ F (s) — s² ƒ (0) – sƒ'(0) — ƒ”(0). (6)
After finitely many such steps we obtain the following extension of Theorem 1.
COROLLARY Transforms of Higher Derivatives
where
L{f"(t)} = L{g'(t)} = s£{g(t)} — g (0)
= s£{f'(t)} = f'(0)
= s[sL{f(t)} − ƒ(0)] — ƒ'(0),
Suppose that the functions ƒ, ƒ', ƒ", ..., f(n-¹) are continuous and piecewise
smooth for t≥ 0, and that each of these functions satisfies the conditions in (3)
with the same values of M and c. Then L{f(n) (t)} exists when s > c, and
Extension of Theorem 1
L{f"(t)} = s² F (s) — sf (0) - ƒ'(0).
n-
= s″ L{ƒ (t)} — s"−¹ ƒ (0) — s¹−² ƒ'(0)
f(n-1) (0)
=s" F(s) - sn-¹ f (0) ... sf(n-2) (0) — f(n-¹)(0). (7)
tn
sf*° e e-st f(t) dt.
Now suppose that the function ƒ is only piecewise continuous (instead of continu-
ous), and let 11, 12, 13, ... be the points (for t > 0) where either f or f' is discontin-
uous. The fact that f is piecewise continuous includes the assumption that within
each interval [tn-1, tn] between successive points of discontinuity-f agrees with a
function that is continuous on the whole closed interval and has "endpoint values"
tn-1
f(t) = lim f(t) and f(t) = lim f(t)
+
t→t.
n-1
t→tn
that may not agree with the actual values ƒ (tn-1) and f(tn). The value of an in-
tegral on an interval is not affected by changing the values of the integrand at the
endpoints. However, if the fundamental theorem of calculus is applied to find the
value of the integral, then the antiderivative function must be continuous on the
closed interval. We therefore use the "continuous from within the interval" end-
point values above in evaluating (by parts) the integrals on the right in (19). The
result is
—
Σ[e¯³¹ƒ(t)]h_ =[−ƒ(t+)+ e¯³¹ ƒ(t₁)] + [−e¯³¹ ƒ(†‚†) + e¯s¹² f (t₂)]
•
—
(3)
+
-[-est
-
estk-2
-stk-1
+ ··· + [-e²-² ƒ (t^_2) + €¯³¹k-¹ ƒ(t-1)]
f
e
estk-1 ƒ (th-₁) + e¯stk ƒ (tk)]
k-1
= −ƒ(0¹) - Σjƒ(tn) + e¯sbƒ (b¯),
n=1
(5)
∞
L{ƒ'(t)} = sF(s) — ƒ(0¹) - Σe-sinjs(tn)
е
jƒ(tn) = f(t) − f (t₁)
(21)
denotes the (finite) jump in f(t) at t = tn. Assuming that L{f'(t)} exists, we
therefore get the generalization
n=1
(20')
of L{ f'(t)} = sF(s) f(0) when we now take the limit in (19) as b→ +∞.
(22)
With integration, one of the major concepts of calculus. Differentiation is the derivative or rate of change of a function with respect to the independent variable.
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