Detailed solutions
Compare reasoning, not handwriting
Use these solutions after an honest attempt. Put your work beside the solution and locate the first line where the decisions differ. A different valid method is not an error; explain why it works and compare its cost.
Chapter 1
Solution 1.1
Rain contributes (+12) m³/hour. Leakage contributes (-0.04W) m³/hour because (0.04) has units 1/hour and (W) has units m³. Therefore
Both right-side terms and (W') have units m³/hour. The zero-rate volume is (W=300) m³, which also gives a behavioral check.
Solution 1.2
For (y=2+3e^{-t}), differentiate: (y'=-3e^{-t}). Substitute into the right side: (2-y=2-(2+3e^{-t})=-3e^{-t}=y'). The condition is (y(0)=2+3=5). The curve decreases toward the stable level 2, matching the sign of (2-y) above 2.
Solution 1.3
The rate factors as (0.4N(1-N/50)). At (N=20), both factors are positive, so the state rises. At (N=50), the second factor is zero, so 50 is an equilibrium. At (N=80), the second factor is negative while (N) is positive, so the state falls. The equation points positive populations toward 50.
Solution 1.4
Salt enters at ((3\text{ L/min})(0.08\text{ kg/L})=0.24) kg/min. It leaves at ((3\text{ L/min})(S/200\text{ kg/L})=0.015S) kg/min. Thus
At zero rate, (0.24=0.015S), so the model suggests a long-run amount of (S=16) kg.
Chapter 2
Solution 2.1
The equilibrium is (y=3). Below 3, (y-3<0), so solutions fall; above 3, they rise. Arrows point away from 3, so it is unstable. The initial values 1 and 5 move down and up, respectively, while 3 remains constant.
Solution 2.2
For (y'=\cos t), each vertical column has a common slope because only time matters. For (y'=\cos y), each horizontal row has a common slope because only state matters. For (y'=\cos(t+y)), equal slopes lie on diagonal bands where (t+y) is constant.
Solution 2.3
Between 0 and 1, (y'=y(1-y)>0), so the solution rises toward the stable equilibrium 1. Differentiate along a solution:
While (0<y<1/2), both factors are positive, so the graph is concave up. After (y) passes (1/2), (1-2y<0), so it is concave down. The growth rate peaks at the inflection state (y=1/2).
Solution 2.4
For (y=0), both (y') and (\sqrt y) are zero. For (y=t^2/4) with (t\ge0), (y'=t/2) and (\sqrt y=t/2). Both satisfy (y(0)=0). The usual no-crossing/unique-future rule fails because (\sqrt y) is not Lipschitz in (y) at zero. In fact, solutions may wait at zero before departing.
Chapter 3
Solution 3.1
(a) (y'=t^2/y) is separable: (y,dy=t^2dt). (b) (y'+e^t y=1) is first-order linear with (p=e^t). (c) (y'=y\sin y) is autonomous and separable; draw the phase line first. (d) (y''+9y=0) is homogeneous second-order constant coefficient, so use characteristic roots.
Solution 3.2
Factor (y'=ty+t=t(y+1)), so (dy/(y+1)=t,dt): it is separable. The equation (y'=ty+1) gives (y'-ty=1), but the right side (ty+1) does not factor into a time-only and state-only product. Both equations are first-order linear; separation is simply the shorter option for the first.
Solution 3.3
On (t>0), (y'=y/t) is separable because (dy/y=dt/t). It is also homogeneous first-order linear: (y'-(1/t)y=0). Separation uses less setup. Both produce (y=Ct).
Solution 3.4
The sum (y^2+t) cannot be factored as (a(t)b(y)), so it is not separable. The squared state violates the linear form (y'+p(t)y=q(t)). Useful next steps include drawing a direction field, computing a numerical solution for specified initial data, deriving local Taylor coefficients, and proving qualitative bounds or monotonicity.
Chapter 4
Solution 4.1
Separate and integrate:
The condition gives (C=2), so (y^2=2t^3+4). Since (y(0)=2>0), select
Differentiation gives (y'=3t^2/y). The real solution interval containing zero requires (2t^3+4>0), so (t>-\sqrt[3]{2}).
Solution 4.2
The division safeguard records equilibria (y=0) and (y=2). For other solutions,
Using (y(0)=1) gives ((y-2)/y=-e^{2t}), hence
This solution remains between the two equilibria and decreases toward zero, matching the phase line.
Solution 4.3
The equilibria are 0 and 500. Partial fractions or the standard logistic integration gives
From (P(0)=50), (50=500/(1+A)), so (A=9):
The rate is positive between 0 and 500 and negative above 500, so positive nonzero solutions approach 500.
Solution 4.4
Integrating (dy/(1+y^2)=dt) gives (\arctan y=t+C). The condition (y(0)=1) gives (C=\pi/4), so
The nearest tangent poles occur when (t+\pi/4=-\pi/2) and (t+\pi/4=\pi/2). The maximal interval containing zero is
Chapter 5
Solution 5.1
The zero-rate state in (y'=3y+6=3(y+2)) is (-2), and arrows point away, so it is unstable. The integrating factor is (e^{-3t}), giving
From (y(0)=1), (C=3), so (y=-2+3e^{3t}). It grows away from (-2), as predicted.
Solution 5.2
Here (p(t)=2/t), so on (t>0), (\mu=t^2). Then
Integration gives (t^2y=t^4/4+C), or (y=t^2/4+C/t^2). The condition (y(1)=0) gives (C=-1/4):
Solution 5.3
Rewrite as (T'+0.25T=5), or read the equilibrium directly as 20. The solution is
Set (T=30): (10=60e^{-0.25t}), so (e^{-0.25t}=1/6) and
Solution 5.4
The transient (Ce^{-t}) is annihilated by the operator (D+1). Apply it to the proposed family:
Thus one valid equation is
The polynomial (t^2) is the forced response; (Ce^{-t}) is the decaying transient.
Chapter 6
Solution 6.1
The equilibria are 0, 1, and 3. The sign pattern of (y(y-1)(y-3)), from left to right, is (-,+,-,+). Arrows point away from 0, toward 1, and away from 3. Thus 0 and 3 are unstable, while 1 is stable.
Solution 6.2
The phase line gives: (y(0)=-1) decreases away below 0; (y(0)=1/2) rises toward 1; (y(0)=2) falls toward 1; and (y(0)=4) rises away above 3. For the outer initial states, the cubic rate also warns that unbounded growth in magnitude may occur in finite time.
Solution 6.3
Treat (P'=rP-(r/K)P^2) as a function of state. Differentiate with respect to (P):
The critical state is (P=K/2), and the downward-opening parabola makes it a maximum. The maximum rate is (rK/4). The largest sustainable population is the equilibrium (K); these are different quantities.
Solution 6.4
For (a>0), equilibria are (\pm\sqrt a). The rate is positive outside them and negative between them, so (-\sqrt a) is stable and (+\sqrt a) is unstable. For (a=0), (y'=y^2\ge0); zero is semistable, attracting from below and repelling above. For (a<0), (y'=y^2+|a|>0), so no equilibria exist and every solution rises.
Chapter 7
Solution 7.1
The characteristic equation (r^2-r-6=(r-3)(r+2)=0) gives roots 3 and (-2). Thus
The conditions give (C_1+C_2=1) and (3C_1-2C_2=0), hence (C_1=2/5), (C_2=3/5). The growing (e^{3t}) mode dominates for large positive time.
Solution 7.2
The characteristic polynomial is ((r+3)^2), so
The first condition gives (C_1=0). Differentiating then evaluating at zero gives (C_2=2). Therefore (y=2te^{-3t}).
Solution 7.3
The roots are (-\zeta\pm\sqrt{\zeta^2-1}). At (\zeta=0), they are pure imaginary and the phase portrait is a center. At (1/2), they are complex with negative real part, producing a spiral sink. At 1, the negative root repeats, giving critical damping and a degenerate stable node. At 2, both roots are real and negative, giving an overdamped stable node.
Solution 7.4
Envelope (e^{-t}) requires real part (-1). Period (\pi) requires angular frequency (2), since (2\pi/\beta=\pi). Desired roots are (-1\pm2i). Their polynomial is
Choose (a=2), (b=5).
Chapter 8
Solution 8.1
Natural roots are (\pm i), so (y_h=C_1\cos t+C_2\sin t). For the polynomial input (t), try (y_p=At+B). Since (y_p''=0), matching (At+B=t) gives (A=1,B=0). Thus
Solution 8.2
The homogeneous solution is (C_1\cos2t+C_2\sin2t). Try (y_p=A\cos t+B\sin t); substitution gives (3A=1), (3B=0). Thus (y_p=\frac13\cos t). The conditions give (C_1=-1/3), (C_2=0), so
Solution 8.3
(a) (Ae^{-t}); it does not collide with the natural modes. (b) (t(A\cos2t+B\sin2t)); frequency 2 is the natural frequency, so multiply once by (t). (c) (At^2+Bt+C); use the complete polynomial family.
Solution 8.4
Near resonance, the response contains a difference such as (\cos(\omega t)-\cos(\omega_0t)). The identity rewrites it as a fast oscillation with average frequency ((\omega+\omega_0)/2), multiplied by a slow envelope (\sin((\omega-\omega_0)t/2)). When the frequencies are close, the envelope varies slowly, producing beats. As they meet, the limiting envelope grows proportionally to (t).
Chapter 9
Solution 9.1
The system is already diagonal:
Both modes decay, so the origin is a stable node. Unless (C_1=0), the slower (e^{-t}) mode dominates late, and trajectories approach tangent to the (x)-axis.
Solution 9.2
The matrix has eigenvalue 3 with eigenvector ([1,1]^T), and eigenvalue 1 with eigenvector ([1,-1]^T). Therefore
Both modes grow, so the origin is an unstable node; the ([1,1]^T) direction dominates generically.
Solution 9.3
Let (x_1=y), (x_2=y'). Then
The eigenvalues solve (\lambda^2+2\lambda+5=0), giving (-1\pm2i). The negative real part and nonzero imaginary part produce a spiral sink.
Solution 9.4
The eigenvalue discriminant is (D=\tau^2-4\Delta). If (\Delta<0), eigenvalues have opposite signs: saddle. If (\Delta>0) and (D>0), the roots are real with common sign set by (\tau): stable node for (\tau<0), unstable node for (\tau>0). If (D<0), they are complex: spiral sink for (\tau<0), spiral source for (\tau>0), and center in the ideal linear case (\tau=0). The curves (\Delta=0) and (D=0) are classification boundaries.
Chapter 10
Solution 10.1
With (h=0.2), use (y_{n+1}=y_n+0.2(y_n-t_n)):
| (t_n) | (y_n) | slope | next value |
|---|---|---|---|
| 0.0 | 1.0 | 1.0 | 1.2 |
| 0.2 | 1.2 | 1.0 | 1.4 |
| 0.4 | 1.4 | 1.0 | 1.6 |
Thus (y(0.6)\approx1.6).
Solution 10.2
Euler gives (y_{n+1}=(1+h)y_n), so from (y_0=1), (y_n=(1+h)^n). At (t=1), (n=1/h):
- (h=1): (2);
- (h=1/2): (1.5^2=2.25);
- (h=1/4): (1.25^4\approx2.4414).
The values rise toward (e\approx2.7183) as the step shrinks.
Solution 10.3
The phase line shows that solutions starting between 0 and 10 rise toward 10 without crossing it. A useful numerical test should therefore: assert (0<P_n<10), rerun with half the step, compare the two trajectories over the same times, and reject a method or step size that crosses the invariant equilibrium. A direction-field overlay supplies an independent visual check.
Solution 10.4
Euler gives (y_{n+1}=(1-ah)y_n). Decay in magnitude requires
Decay without alternating sign requires (0\le1-ah<1), hence
At (h=1/a), the numerical state reaches zero in one step.
Mixed studio
Solution M1
Rewrite as (y'-ty=\sin t). It is first-order linear with (p(t)=-t), so (\mu=e^{-t^2/2}). A direction field or substitution can check the eventual solution.
Solution M2
The factors separate: ((1+y^2)dy=e^t dt). Integration gives (y+y^3/3=e^t+C), generally best left implicit unless an initial condition selects a useful form.
Solution M3
Use homogeneous plus particular response. The characteristic root (-3) repeats, so (y_h=(C_1+C_2t)e^{-3t}). For the polynomial input, try (y_p=At+B).
Solution M4
The matrix has eigenvalues (\pm i). The system is (x'=-y, y'=x), so (d(x^2+y^2)/dt=0). Trajectories are counterclockwise circles centered at the origin, an ideal center.
Solution M5
Use an autonomous phase line before separation. Equilibria are (-2) and 1. The sign pattern is positive outside and negative between, so (-2) is stable and 1 unstable.
Solution M6
The condition holds, but the equation does not. The derivative is (y'=1/(1-t)^2=y^2), not (y). The claimed function solves (y'=y^2) instead.
Solution M7
The equilibrium (y=0) does not match the condition. Separate:
At (t=0,y=-1), (C=1), so
The quadratic denominator has discriminant (1-2<0), so it never vanishes; the solution exists for all real (t).
Solution M8
On (t>0), (\mu=t^2). Then ((t^2y)'=t^4), so (t^2y=t^5/5+C). The condition gives (1=1/5+C), hence (C=4/5):
Solution M9
Roots are (-1\pm i), so (y=e^{-t}(C_1\cos t+C_2\sin t)). The conditions give (C_1=1) and (-C_1+C_2=0), so
Negative real part plus rotation gives a spiral sink in the ((y,y')) phase plane.
Solution M10
Natural motion is (C_1\cos t+C_2\sin t). Try (A\sin3t+B\cos3t). Matching gives (-8A=1), (-8B=0), hence
Solution M11
At (y_0=0.5), the slope is (0.5(1.5)=0.75), so (y_1=0.5+0.5(0.75)=0.875). The next slope is (0.875(1.125)=0.984375), so (y_2=1.3671875). Both values remain between the unstable equilibrium 0 and stable equilibrium 2 and move upward, matching the phase line.
Solution M12
The matrix has eigenvalue (-1) along ([1,1]^T) and (-3) along ([1,-1]^T). Both decay, so the origin is a stable node. The slower (e^{-t}) mode dominates generically, so trajectories approach tangent to ([1,1]^T).
Solution C1
If (C) is concentration in mg/L, the amount in the fixed volume is (VC). Its balance is (V C'=I-kC), so
Here (I) has units mg/hour, (k) has units L/hour, and every term in the amount balance has units mg/hour. The equilibrium is (C_=I/k), stable because the displacement equation is ((C-C_)'=-(k/V)(C-C_*)). From (C(0)=0),
For 90% of equilibrium, (e^{-kt/V}=0.1), so (t=(V/k)\ln10). The ratio (I/k) sets the target; (k/V) sets the approach rate, though changing (k) affects both.
Solution C2
Both models start with positive rate, but (P_1) has unlimited positive feedback while (P_2) weakens as it approaches 10. Thus (P_1=e^t) grows without bound, while (P_2) approaches 10. At (P=1), rates are 1 and 0.9, so their Taylor series already differ in the linear term:
The exponential field has horizontal-row slopes proportional to (P); the logistic field adds a zero-slope row at 10 and reverses sign above it. Numerical checks for the logistic model should preserve the interval ((0,10)).
Solution C3
Counterclockwise rotation with envelope (e^{-0.5t}) can use
Its eigenvalues are (-0.5\pm i). Since (x'=-0.5x-y), differentiating and eliminating (y) gives
The roots of this scalar equation are the same (-0.5\pm i), confirming the envelope and angular frequency.