Mathematics · Book 5 · Bachelor Year 3

University Mathematics — Year 3

University Mathematics — Year 3 · Bachelor Year 3

19Ordinary Differential Equations

Year 2 solved linear differential equations and stated the Cauchy–Lipschitz theorem; this chapter proves it — twice over: existence and uniqueness by the Banach fixed point, global structure by the theory of maximal solutions and the escape-from-compacts theorem. The linear theory is then rebuilt on honest foundations (resolvent, Wronskian, matrix exponential, Duhamel), and the chapter’s second half opens the qualitative theory — flows, equilibria, Lyapunov functions, and stability by linearization: how to understand solutions one will never compute. The pendulum, in the weekend problem, is the eternal case study. Throughout, UR×RdU \subseteq \R\times\R^d is open and f ⁣:URdf \colon U \to \R^d is continuous; a solution of x=f(t,x)x' = f(t, x) is a C1\mathcal C^1 map x ⁣:IRdx \colon I \to \R^d (II an interval) with graph in UU satisfying the equation.

19.1 Cauchy–Lipschitz

Definition 19.1

ff is locally Lipschitz in xx if every point of UU has a neighborhood VV and a constant LL with f(t,x1)f(t,x2)Lx1x2\norm{f(t, x_1) - f(t, x_2)} \leq L\norm{x_1 - x_2} for (t,x1),(t,x2)V(t, x_1), (t, x_2) \in V. If ff is C1\mathcal C^1 (or merely xf\partial_xf exists and is continuous), it is locally Lipschitz in xx: on a compact convex neighborhood, the mean value inequality with L=supxfL = \sup\vertiii{\partial_xf}.

Theorem 19.2 (Cauchy–Lipschitz, local)

Let ff be continuous and locally Lipschitz in xx, and (t0,x0)U(t_0, x_0) \in U. There is T>0T > 0 such that the Cauchy problem

x=f(t,x),x(t0)=x0x' = f(t, x), \qquad x(t_0) = x_0

has exactly one solution on [t0T,t0+T][t_0 - T, t_0 + T].

Proof. Choose a,b>0a, b > 0 with Q=[t0a,t0+a]×Bˉ(x0,b)UQ = [t_0 - a, t_0 + a]\times\bar B(x_0, b) \subseteq U, on which fM\norm f \leq M and ff is LL-Lipschitz in xx. A C1\mathcal C^1 function is a solution iff it satisfies the integral equation

x(t)=x0+t0tf(s,x(s)) ⁣dsx(t) = x_0 + \int_{t_0}^{t}f\bigl(s, x(s)\bigr)\,\dd s

(fundamental theorem of calculus, both ways). Let T=min(a,bM,12L)T = \min\bigl(a, \frac bM, \frac1{2L}\bigr), I=[t0T,t0+T]I = [t_0 - T, t_0 + T], and

E={xC(I,Rd):x(t)x0b on I},\mathcal E = \{x \in \mathcal C(I, \R^d) : \norm{x(t) - x_0} \leq b\ \text{on } I\},

a closed subset of the Banach space (C(I,Rd),)(\mathcal C(I, \R^d), \norm\cdot_\infty): complete (Definition 7.1). Define Φ(x)(t)=x0+t0tf(s,x(s)) ⁣ds\Phi(x)(t) = x_0 + \int_{t_0}^tf(s, x(s))\dd s: for xEx \in \mathcal E, Φ(x)(t)x0Mtt0MTb\norm{\Phi(x)(t) - x_0} \leq M\abs{t - t_0} \leq MT \leq bΦ\Phi maps E\mathcal E to itself — and for x,yEx, y \in \mathcal E:

Φ(x)(t)Φ(y)(t)t0tLx(s)y(s) ⁣dsLTxy12xy:\norm{\Phi(x)(t) - \Phi(y)(t)} \leq \Bigl|\int_{t_0}^t L\,\norm{x(s) - y(s)}\,\dd s\Bigr| \leq LT\,\norm{x - y}_\infty \leq \tfrac12\norm{x - y}_\infty :

a contraction. The Banach fixed point (Theorem 7.4) gives a unique fixed point in E\mathcal E: existence, and uniqueness among solutions staying in Bˉ(x0,b)\bar B(x_0, b) — but any solution on II stays there (x(t)x0Mtt0b\norm{x(t) - x_0} \leq M\abs{t - t_0} \leq b as long as the graph remains in QQ, a continuity argument): uniqueness on II.

Lemma 19.3 (Grönwall)

Let u ⁣:I[0,)u \colon I \to \intco0\infty be continuous, t0It_0 \in I, and suppose

u(t)α+βt0tu(s) ⁣ds(tI)u(t) \leq \alpha + \beta\,\Bigl|\int_{t_0}^{t}u(s)\,\dd s\Bigr| \qquad (t \in I)

with α0\alpha \geq 0, β>0\beta > 0. Then u(t)αeβtt0u(t) \leq \alpha\,\eu^{\beta\abs{t - t_0}} on II.

Proof. For tt0t \geq t_0: let v(t)=α+βt0tu(s) ⁣dsv(t) = \alpha + \beta\int_{t_0}^tu(s)\dd s, so uvu \leq v, v=βuβvv' = \beta u \leq \beta v, and (veβ(tt0))0(v\eu^{-\beta(t - t_0)})' \leq 0: v(t)v(t0)eβ(tt0)=αeβ(tt0)v(t) \leq v(t_0)\eu^{\beta(t-t_0)} = \alpha\eu^{\beta(t - t_0)}. For tt0t \leq t_0, apply the same to u~(t)=u(2t0t)\tilde u(t) = u(2t_0 - t).

Corollary 19.4 (Uniqueness and continuous dependence)

Under the hypotheses of Theorem 19.2, two solutions of x=f(t,x)x' = f(t,x) that agree at one point agree on their common interval of definition. Quantitatively, if x,yx, y are two solutions with graphs in a region where ff is LL-Lipschitz in xx, then

x(t)y(t)x(t0)y(t0)eLtt0.\norm{x(t) - y(t)} \leq \norm{x(t_0) - y(t_0)}\,\eu^{L\abs{t - t_0}} .

Proof. The estimate: u=xyu = \norm{x - y} satisfies u(t)u(t0)+Lt0tuu(t) \leq u(t_0) + L\abs{\int_{t_0}^tu} (subtract the integral equations); Grönwall. Global uniqueness: the agreement set {t:x(t)=y(t)}\{t : x(t) = y(t)\} is closed in the common interval, nonempty, and open — around any agreement point, cover a compact piece of the common graph by finitely many Lipschitz boxes and apply the estimate with u(t1)=0u(t_1) = 0 on each: locally xyx \equiv y. A nonempty open closed subset of an interval is everything.

19.2 Maximal solutions

Theorem 19.5 (Maximal solutions; escape from compacts)

Assume ff continuous, locally Lipschitz in xx.

  1. Every Cauchy problem has a unique maximal solution x ⁣:(T,T+)Rdx \colon \intoo{T_-}{T_+} \to \R^d: every other solution through (t0,x0)(t_0, x_0) is its restriction. The interval is open.
  2. (Escape) For every compact KUK \subseteq U there is ε>0\varepsilon > 0 such that (t,x(t))K(t, x(t)) \notin K for all t(T+ε,T+)t \in \intoo{T_+ - \varepsilon}{T_+} (and symmetrically at TT_-): the graph of a maximal solution eventually leaves every compact subset of UU. In particular, for U=R×RdU = \R\times\R^d and T+<+T_+ < +\infty: x(t)+\norm{x(t)} \to +\infty as tT+t \to T_+^- (blow-up).

Proof. (1) Let S\mathcal S be the set of all solutions through (t0,x0)(t_0, x_0); by Corollary 19.4 any two agree on the intersection of their intervals, so they glue: on J=ySIyJ = \bigcup_{y \in \mathcal S}I_y, define x(t)=y(t)x(t) = y(t) for any yy defined at tt: a well-defined solution, evidently maximal and unique. JJ is open: a solution defined at an endpoint could be prolonged by Theorem 19.2 at that endpoint.

(2) Suppose the claim fails at T+T_+: there are tnT+t_n \to T_+ with (tn,x(tn))K(t_n, x(t_n)) \in K; note this forces T+<T_+ < \infty or, if T+=T_+ = \infty, there is nothing to prove (KK is bounded in time). So let T+<T_+ < \infty. Compactness: uniform constants M,L,a,bM, L, a, b work for all Cauchy data in a neighborhood of KK — concretely, cover KK by finitely many boxes QiQ_i as in the local theorem’s proof and let T>0T^* > 0 be the minimum of the corresponding existence times: any Cauchy datum in KK launches a solution living at least TT^* beyond its initial time. Applying this at (tn,x(tn))(t_n, x(t_n)) with tn>T+T/2t_n > T_+ - T^*/2 extends xx past T+T_+ (the extension agrees with xx by uniqueness, then prolongs it): contradiction with maximality. So the graph leaves KK definitively before T+T_+. For U=R×RdU = \R\times\R^d: if x(t)↛\norm{x(t)}\not\to\infty, a sequence tnT+t_n \to T_+ keeps (tn,x(tn))(t_n, x(t_n)) in the compact [t0,T+]×Bˉ(0,R)[t_0, T_+]\times\bar B(0, R): excluded.

Corollary 19.6 (Global existence under linear growth)

If U=I×RdU = I\times\R^d (II open interval) and f(t,x)α(t)x+β(t)\norm{f(t, x)} \leq \alpha(t)\norm x + \beta(t) with α,β\alpha, \beta continuous, then every maximal solution is defined on all of II.

Proof. On a compact [t0,T]I[t_0, T] \subseteq I: x(t)x0+t0t(αx+β)\norm{x(t)} \leq \norm{x_0} + \int_{t_0}^t(\alpha\norm x + \beta), so by Grönwall (with α,β\alpha, \beta bounded by A,BA, B there) x(t)(x0+B(Tt0))eA(Tt0)\norm{x(t)} \leq (\norm{x_0} + B(T - t_0))\eu^{A(T - t_0)}: bounded. If T+<supIT_+ < \sup I, the graph stays in a compact of I×RdI\times\R^d near T+T_+: contradicts escape (Theorem 19.5).

19.3 Linear systems

Throughout this section A ⁣:IMd(R)A \colon I \to M_d(\R) and b ⁣:IRdb \colon I \to \R^d are continuous; the system is x=A(t)x+b(t)x' = A(t)x + b(t) — linear growth: all maximal solutions live on all of II (Corollary 19.6).

Theorem 19.7 (Structure)

The solutions of the homogeneous system x=A(t)xx' = A(t)x form a dd-dimensional vector space SHS_H; for each t0t_0, the evaluation xx(t0)x \mapsto x(t_0) is an isomorphism SHRdS_H \to \R^d. The resolvent R(t,s)GLd(R)R(t, s) \in GL_d(\R), defined by: tR(t,s)vt \mapsto R(t, s)v is the solution with value vv at ss, satisfies

R(s,s)=I,R(t,u)R(u,s)=R(t,s),tR(t,s)=A(t)R(t,s),R(s,s) = I,\quad R(t, u)R(u, s) = R(t, s),\quad \partial_tR(t,s) = A(t)R(t,s),

and the inhomogeneous problem is solved by Duhamel’s formula:

x(t)=R(t,t0)x0+t0tR(t,s)b(s) ⁣ds.x(t) = R(t, t_0)\,x_0 + \int_{t_0}^{t}R(t, s)\,b(s)\,\dd s .

Finally the Wronskian w(t)=detR(t,s)w(t) = \det R(t, s) obeys Liouville’s formula w=trA(t)ww' = \operatorname{tr}A(t)\,w, so w(t)=exp(sttrA)>0w(t) = \exp\bigl(\int_s^t\operatorname{tr}A\bigr) > 0.

Proof. Linearity of the equation makes solutions a vector space; evaluation is linear, injective (uniqueness: a solution vanishing at t0t_0 is 0\equiv 0) and surjective (existence): dimension dd. The resolvent properties restate uniqueness (both sides of each identity solve the same Cauchy problem); invertibility from R(s,t)R(t,s)=IR(s,t)R(t,s) = I. Duhamel: differentiate the formula — x(t)=A(t)R(t,t0)x0+R(t,t)b(t)+t0tA(t)R(t,s)b(s) ⁣ds=A(t)x(t)+b(t)x'(t) = A(t)R(t,t_0)x_0 + R(t,t)b(t) + \int_{t_0}^tA(t)R(t,s)b(s)\dd s = A(t)x(t) + b(t) (differentiation under the integral is legitimate: the integrand is C1\mathcal C^1 in tt with continuous derivative in (t,s)(t,s); or verify by the integral equation). Liouville: w(t+h)=det(R(t+h,t))w(t)w(t + h) = \det\bigl(R(t+h, t)\bigr)w(t) and R(t+h,t)=I+hA(t)+o(h)R(t + h, t) = I + hA(t) + o(h) (from the integral equation), so det=1+htrA(t)+o(h)\det = 1 + h\operatorname{tr}A(t) + o(h) (expansion of det\det at II): w(t)=trA(t)w(t)w'(t) = \operatorname{tr}A(t)\,w(t); integrate the scalar linear ODE.

Theorem 19.8 (Matrix exponential)

For AMd(C)A \in M_d(\C), the series eA=n0Ann!\eu^{A} = \sum_{n\geq0}\frac{A^n}{n!} converges (absolutely, in any submultiplicative norm), eA+B=eAeB\eu^{A+B} = \eu^A\eu^B whenever AB=BAAB = BA, and tetAt \mapsto \eu^{tA} is the resolvent of the constant system: R(t,s)=e(ts)AR(t,s) = \eu^{(t-s)A}; it is C\mathcal C^\infty with  ⁣d ⁣dtetA=AetA\frac{\dd}{\dd t}\eu^{tA} = A\eu^{tA}. Moreover: if Reλ<α<0\operatorname{Re}\lambda < -\alpha < 0 for every eigenvalue λ\lambda of AA, then etACeαt\vertiii{\eu^{tA}} \leq C\eu^{-\alpha t} for t0t \geq 0.

Proof. Convergence: An/n!An/n!\vertiii{A^n/n!} \leq \vertiii A^n/n!, summable (Exercise 7.1(b) in the Banach algebra MdM_d). For commuting A,BA, B: the Cauchy product of the two absolutely convergent series rearranges, via the binomial theorem (valid when AB=BAAB = BA), into n(A+B)nn!\sum_n\frac{(A+B)^n}{n!}. Differentiability, directly: e(t+h)AetAh=etAehAIhetAA\frac{\eu^{(t+h)A} - \eu^{tA}}h = \eu^{tA}\frac{\eu^{hA} - I}{h} \to \eu^{tA}A since ehAIhAn2hn1Ann!=O(h)\norm{\frac{\eu^{hA} - I}h - A} \leq \sum_{n\geq2}\frac{\abs h^{n-1}\vertiii A^n}{n!} = O(h). Hence te(ts)Avt \mapsto \eu^{(t - s)A}v solves the Cauchy problem defining R(t,s)vR(t,s)v. Spectral bound: by the Jordan form (Theorem 3.18), A=P(D+N)P1A = P(D + N)P^{-1} with DD diagonal carrying the eigenvalues, NN nilpotent, and DN=NDDN = ND. Then etA=PetDetNP1\eu^{tA} = P\,\eu^{tD}\eu^{tN}P^{-1} with etDe(α+δ)t\vertiii{\eu^{tD}} \leq \eu^{-(\alpha + \delta)t} for some δ>0\delta > 0 (t0t \geq 0) and etN\eu^{tN} polynomial in tt (nilpotence): the product is Ceαt\leq C\eu^{-\alpha t} (polynomial beaten by eδt\eu^{-\delta t}).

Example 19.9 (The plane, classified)

For x=Axx' = Ax with AM2(R)A \in M_2(\R) invertible, the phase portrait near 00 is decided by τ=trA\tau = \operatorname{tr}A and δ=detA\delta = \det A, through the eigenvalues λ±=τ±τ24δ2\lambda_\pm = \frac{\tau \pm \sqrt{\tau^2 - 4\delta}}2:

  • δ<0\delta < 0: real eigenvalues of opposite signs — a saddle; two trajectories enter, two leave, all others fly by. Always unstable.
  • δ>0\delta > 0, τ24δ\tau^2 \geq 4\delta: real eigenvalues of the same sign (=signτ= \operatorname{sign}\tau) — a node, stable iff τ<0\tau < 0; trajectories are tangent to the slow eigendirection.
  • δ>0\delta > 0, τ2<4δ\tau^2 < 4\delta, τ0\tau \neq 0: complex conjugate eigenvalues τ2±iω\frac\tau2 \pm \iu\omega — a spiral (focus), stable iff τ<0\tau < 0; the solutions are eτt/2×\eu^{\tau t/2}\times rotations of period 2πω\frac{2\pi}\omega.
  • τ=0\tau = 0, δ>0\delta > 0: purely imaginary eigenvalues — a center: closed orbits (ellipses), stability without asymptotic stability, exactly the borderline that Theorem 19.12 cannot decide for nonlinear systems (the pendulum’s bottom equilibrium, Problem 19.1, sits here).

The boundary parabola τ2=4δ\tau^2 = 4\delta carries the degenerate nodes (Jordan blocks: trajectories with a single tangent direction). Everything is read off two numbers — which is why the first reflex before any planar phase portrait is to compute tr\operatorname{tr} and det\det; e.g. A=(011c)A = \bigl(\begin{smallmatrix}0 & 1\\ -1 & -c\end{smallmatrix}\bigr) (damped oscillator): δ=1>0\delta = 1 > 0, τ=c\tau = -c: stable spiral for 0<c<20 < c < 2, stable node for c2c \geq 2 — underdamping versus overdamping, in one glance.

19.4 Flows, equilibria, stability

Consider now the autonomous equation x=F(x)x' = F(x), F ⁣:ΩRdF \colon \Omega \to \R^d locally Lipschitz on the open ΩRd\Omega \subseteq \R^d. Write φt(x0)=x(t)\varphi_t(x_0) = x(t) for the maximal solution with x(0)=x0x(0) = x_0 (the flow); autonomy gives the group property φt+s=φtφs\varphi_{t+s} = \varphi_t\circ\varphi_s where defined (both sides solve the same problem at time ss).

Definition 19.10

An equilibrium is a point xˉ\bar x with F(xˉ)=0F(\bar x) = 0 (so φt(xˉ)=xˉ\varphi_t(\bar x) = \bar x). It is stable if for every ε>0\varepsilon > 0 there is δ>0\delta > 0 such that x0xˉ<δ\norm{x_0 - \bar x} < \delta implies that the solution exists for all t0t \geq 0 with φt(x0)xˉ<ε\norm{\varphi_t(x_0) - \bar x} < \varepsilon; asymptotically stable if moreover φt(x0)xˉ\varphi_t(x_0) \to \bar x for all x0x_0 near xˉ\bar x.

Theorem 19.11 (Lyapunov functions)

Let xˉ\bar x be an equilibrium and V ⁣:VRV \colon \mathcal V \to \R a C1\mathcal C^1 function on a neighborhood of xˉ\bar x with:

V(xˉ)=0,V(x)>0 for xxˉ,V˙(x)=V(x)F(x)0.V(\bar x) = 0,\qquad V(x) > 0 \text{ for } x \neq \bar x, \qquad \dot V(x) = \nabla V(x)\cdot F(x) \leq 0 .

Then xˉ\bar x is stable. If moreover V˙<0\dot V < 0 off xˉ\bar x, then xˉ\bar x is asymptotically stable.

Proof. Along a solution,  ⁣d ⁣dtV(x(t))=V˙(x(t))0\frac{\dd}{\dd t}V(x(t)) = \dot V(x(t)) \leq 0: VV decreases. Given ε\varepsilon (small enough that Bˉ(xˉ,ε)V\bar B(\bar x, \varepsilon) \subseteq \mathcal V), let m=min{V(x):xxˉ=ε}>0m = \min\{V(x) : \norm{x - \bar x} = \varepsilon\} > 0 (compactness, positivity) and pick δ<ε\delta < \varepsilon with V<mV < m on B(xˉ,δ)B(\bar x, \delta) (continuity). A solution starting in B(xˉ,δ)B(\bar x, \delta) has V(x(t))<mV(x(t)) < m for all later times, so it can never reach the sphere xxˉ=ε\norm{x - \bar x} = \varepsilon (where VmV \geq m): it stays in the ball — and then exists for all t0t \geq 0: the solution remains in the compact Bˉ\bar B, so Theorem 19.5(2) (escape from compacts) forces T+=+T_+ = +\infty. Stability.

Asymptotic case: let x(t)x(t) start in B(xˉ,δ)B(\bar x, \delta); V(x(t))V(x(t)) decreases to some c0c \geq 0. If c>0c > 0: the trajectory stays in K={xBˉ(xˉ,ε):V(x)c}K = \{x \in \bar B(\bar x, \varepsilon): V(x) \geq c\}, a compact set that excludes a neighborhood of xˉ\bar x (VV is continuous with V(xˉ)=0<cV(\bar x) = 0 < c). On KK, the function V˙\dot V is continuous, strictly negative, hence μ=maxKV˙<0\mu = \max_K\dot V < 0 (compactness); then V(x(t))V(x(0))+μtV(x(t)) \leq V(x(0)) + \mu t \to -\infty: absurd, V0V \geq 0. So c=0c = 0, and x(t)xˉx(t) \to \bar x (points at distance ρ\geq \rho from xˉ\bar x within the ball have Vmρ>0V \geq m_\rho > 0).

Theorem 19.12 (Stability by linearization)

Let FF be C1\mathcal C^1, F(xˉ)=0F(\bar x) = 0, A=DF(xˉ)A = DF(\bar x). If every eigenvalue of AA has Reλ<0\operatorname{Re}\lambda < 0, then xˉ\bar x is asymptotically stable.

Proof. Translate xˉ\bar x to 00 and write F(x)=Ax+g(x)F(x) = Ax + g(x) with g(x)=o(x)g(x) = o(\norm x) (C1\mathcal C^1 differentiability). Pick α>0\alpha > 0 with etACeαt\vertiii{\eu^{tA}} \leq C\eu^{-\alpha t} (t0t \geq 0; Theorem 19.8) and r>0r > 0 with g(x)α2Cx\norm{g(x)} \leq \frac{\alpha}{2C}\norm x for xr\norm x \leq r. Duhamel with b(s)=g(x(s))b(s) = g(x(s)):

x(t)=etAx0+0te(ts)Ag(x(s)) ⁣ds,x(t) = \eu^{tA}x_0 + \int_0^t\eu^{(t-s)A}g(x(s))\,\dd s,

valid as long as x(s)r\norm{x(s)} \leq r. Then u(t)=eαtx(t)u(t) = \eu^{\alpha t}\norm{x(t)} satisfies

u(t)Cx0+0tCα2Cu(s) ⁣ds,u(t) \leq C\norm{x_0} + \int_0^{t}C\,\frac{\alpha}{2C}\,u(s)\,\dd s ,

so Grönwall gives u(t)Cx0eαt/2u(t) \leq C\norm{x_0}\eu^{\alpha t/2}, i.e. x(t)Cx0eαt/2\norm{x(t)} \leq C\norm{x_0}\eu^{-\alpha t/2}. If x0<r/C\norm{x_0} < r/C, the a priori bound keeps x(t)<r\norm{x(t)} < r for all tt (a continuity/bootstrap argument: the set of times where xr\norm x \leq r is open and closed in [0,T+)\intco0{T_+} given the strict estimate), the solution is global, and it converges to 00 exponentially: asymptotic stability.

Method 19.13

Facing an ODE: (1) existence/uniqueness — check local Lipschitz (usually C1\mathcal C^1); (2) globality — linear growth, boundedness, or an invariant compact via a Lyapunov function or first integral; failing that, suspect blow-up and test on the scalar caricature x=x2x' = x^2; (3) linear systems — resolvent, Duhamel, and for constant coefficients the eigenstructure of AA; (4) qualitative questions — equilibria, linearize, and hunt for a Lyapunov function (energy, when the system is mechanical) or a first integral whose level sets trap trajectories. The weekend problem walks the whole method through the pendulum.

Phase portrait of the pendulum x'' = - x in the (x, x')-plane: level curves of the energy E = x'22 - x. Closed curves (blue): oscillations, E < 1; running curves (orange): full rotations, E > 1; between them the separatrix (red), E = 1, connecting the unstable equilibria (±π, 0). The weekend problem proves everything this picture suggests.
Phase portrait of the pendulum x=sinxx'' = -\sin x in the (x,x)(x, x')-plane: level curves of the energy E=x22cosxE = \frac{x'^2}2 - \cos x. Closed curves (blue): oscillations, E<1E < 1; running curves (orange): full rotations, E>1E > 1; between them the separatrix (red), E=1E = 1, connecting the unstable equilibria (±π,0)(\pm\pi, 0). The weekend problem proves everything this picture suggests.

19.5 Exercises

Exercise 19.1

Solve explicitly and determine the maximal interval: (a) x=x2x' = x^2, x(0)=1x(0) = 1; (b) x=1+x2x' = 1 + x^2, x(0)=0x(0) = 0; (c) x=x(1x)x' = x(1-x), x(0)=12x(0) = \frac12. Reconcile each answer with Theorem 19.5(2) and Corollary 19.6.

Solution

Solution of Exercise 19.1.

(a) Separating variables: x(t)=11tx(t) = \frac1{1 - t} on (,1)\intoo{-\infty}1: blow-up at T+=1T_+ = 1, with x(t)+x(t) \to +\infty — exactly Theorem 19.5(2). (b) x(t)=tantx(t) = \tan t on (π/2,π/2)\intoo{-\pi/2}{\pi/2}: blow-up at both ends. (c) x(t)=11+etx(t) = \frac{1}{1 + \eu^{-t}}, global: the solution stays in (0,1)\intoo01, a bounded set, so the graph cannot escape every compact of R×R\R\times\R in finite time — T±=±T_\pm = \pm\infty. Note (a), (b) do not contradict Corollary 19.6: x2x^2 and 1+x21 + x^2 have superlinear growth.

Exercise 19.2

Let x,yx, y solve x=f(t,x)x' = f(t,x) with ff globally LL-Lipschitz in xx on R×Rd\R\times\R^d. (a) Prove x(t)y(t)x(0)y(0)eLt\norm{x(t) - y(t)} \leq \norm{x(0) - y(0)}\eu^{L\abs t}, and show by example (linear!) that the factor eLt\eu^{L\abs t} is attained. (b) Deduce that the flow map x0x(t;x0)x_0 \mapsto x(t; x_0) is continuous, in fact Lipschitz on bounded sets.

Solution

Solution of Exercise 19.2.

(a) This is Corollary 19.4’s estimate with t0=0t_0 = 0. Sharpness: for x=Lxx' = Lx (globally LL-Lipschitz), two solutions differ by exactly (x0y0)eLt(x_0 - y_0)\eu^{Lt}. (b) The estimate reads: the time-tt flow map is eLt\eu^{L\abs t}-Lipschitz in the initial condition — continuity, uniformly for tt in compacts; on bounded sets of non-globally-Lipschitz ff, run the same on a compact tube around the trajectories with the local constant.

Exercise 19.3 ★★

Show that each of the following has all maximal solutions global on R\R, quoting the right theorem: (a) x=sin(tx)x' = \sin(tx); (b) x=tx1+x2x' = \frac{t\,x}{1 + x^2}; (c) x+q(t)x=0x'' + q(t)x = 0 with qq continuous (convert to a first-order system); (d) x=A(t)xx' = A(t)x with AA continuous and bounded — and give the Grönwall bound on x(t)\norm{x(t)}.

Solution

Solution of Exercise 19.3.

(a) sin(tx)1\abs{\sin(tx)} \leq 1: bounded, i.e. linear growth with α=0\alpha = 0, β=1\beta = 1: Corollary 19.6 on U=R×RU = \R\times\R. (b) tx/(1+x2)t12\abs{tx/(1 + x^2)} \leq \abs t\cdot\frac12: again sublinear (in fact bounded on time-compacts): global. (c) X=(x,x)X = (x, x'): X=(01q(t)0)XX' = \bigl(\begin{smallmatrix}0 & 1\\ -q(t) & 0\end{smallmatrix}\bigr)X: linear with continuous coefficients: global (Theorem 19.7’s setting). (d) Global; Grönwall as in Corollary 19.6: x(t)x(t0)eMtt0\norm{x(t)} \leq \norm{x(t_0)}\,\eu^{M\abs{t - t_0}} with M=supAM = \sup\vertiii{A}.

Exercise 19.4 ★★

(a) Compute etA\eu^{tA} for A=(0110)A = \bigl(\begin{smallmatrix}0 & -1\\ 1 & 0\end{smallmatrix}\bigr), (λ10λ)\bigl(\begin{smallmatrix}\lambda & 1\\ 0 & \lambda\end{smallmatrix}\bigr), and (0110)\bigl(\begin{smallmatrix}0 & 1\\ 1 & 0\end{smallmatrix}\bigr). (b) Solve the forced oscillator x+x=cos(ωt)x'' + x = \cos(\omega t) by Duhamel (system form), for ω1\omega \neq 1 and ω=1\omega = 1: resonance appears as the secular term tsintt\sin t.

Solution

Solution of Exercise 19.4.

(a) A2=IA^2 = -I for the first: etA=costI+sintA=(costsintsintcost)\eu^{tA} = \cos t\,I + \sin t\,A = \bigl(\begin{smallmatrix}\cos t & -\sin t\\ \sin t & \cos t\end{smallmatrix}\bigr). Jordan block: λI\lambda I and NN commute: etA=eλt(1t01)\eu^{tA} = \eu^{\lambda t}\bigl(\begin{smallmatrix}1 & t\\ 0 & 1\end{smallmatrix}\bigr). Third: A2=IA^2 = I: etA=coshtI+sinhtA\eu^{tA} = \cosh t\,I + \sinh t\,A.

(b) System X=(0110)X+(0cosωt)X' = \bigl(\begin{smallmatrix}0&1\\-1&0 \end{smallmatrix}\bigr)X + \bigl(\begin{smallmatrix}0\\ \cos\omega t\end{smallmatrix}\bigr); Duhamel with the rotation resolvent gives the particular solutions: for ω1\omega \neq 1, xp(t)=cos(ωt)1ω2x_p(t) = \frac{\cos(\omega t)}{1 - \omega^2} (verify directly); for ω=1\omega = 1 the integral 0tsin(ts)coss ⁣ds=t2sint\int_0^t\sin(t - s)\cos s\,\dd s = \frac t2\sin t produces the secular growth xp=t2sintx_p = \frac t2\sin t: resonance — the forcing pumps energy at the natural frequency and the amplitude grows linearly.

Exercise 19.5 ★★

For the scalar equation x+p(t)x+q(t)x=0x'' + p(t)x' + q(t)x = 0: (a) Show that the Wronskian w=x1x2x1x2w = x_1x_2' - x_1'x_2 of two solutions satisfies w=pww' = -p\,w (Abel), and deduce that two solutions with w0w \neq 0 somewhere form a basis. (b) Given one nonvanishing solution x1x_1, find the general solution by reduction of order: set x2=x1epx12x_2 = x_1\int \frac{\eu^{-\int p}}{x_1^2} and verify. Apply to t2x2x=0t^2x'' - 2x = 0 on (0,+)\intoo0{+\infty} with x1(t)=t2x_1(t) = t^2.

Solution

Solution of Exercise 19.5.

(a) w=x1x2x1x2=x1(px2qx2)(px1qx1)x2=pww' = x_1x_2'' - x_1''x_2 = x_1(-px_2' - qx_2) - (-px_1' - qx_1)x_2 = -p\,w: w(t)=w(t0)et0tpw(t) = w(t_0)\eu^{-\int_{t_0}^tp}, never zero or identically zero. If w0w \neq 0, the vectors (xi,xi)(t0)(x_i, x_i')(t_0) are independent in R2\R^2, and since the solution space has dimension 22 (Theorem 19.7 for the system), (x1,x2)(x_1, x_2) is a basis.

(b) With u=epx12u = \int\frac{\eu^{-\int p}}{x_1^2}: x2=x1ux_2 = x_1u, x2=x1u+epx1x_2' = x_1'u + \frac{\eu^{-\int p}}{x_1}, and

x2+px2+qx2=u(x1+px1+qx1)+(pepx1+pepx1)=0x_2'' + px_2' + qx_2 = u\,(x_1'' + px_1' + qx_1) + \Bigl(-\,p\frac{\eu^{-\int p}}{x_1} + p\frac{\eu^{-\int p}}{x_1}\Bigr) = 0

(the cross terms cancel exactly; expand carefully). For t2x2x=0t^2x'' - 2x = 0, i.e. x2t2x=0x'' - \frac2{t^2}x = 0 (p=0p = 0) with x1=t2x_1 = t^2: u=t4=13t3u = \int t^{-4} = -\frac1{3t^3}, so x2=13tx_2 = -\frac1{3t}: general solution at2+btat^2 + \frac bt.

Exercise 19.6 ★★

(Logistic) For x=x(1x)x' = x(1 - x): determine all equilibria and their stability (by Theorem 19.12 and directly); show every solution with x(0)(0,1)x(0) \in \intoo01 is increasing, global, with limits 00 and 11 at \mp\infty; and solve explicitly to confirm. Show more generally that scalar autonomous solutions are monotone, and conclude: no nonconstant periodic solutions in dimension 11.

Solution

Solution of Exercise 19.6.

Equilibria 0,10, 1; f(x)=12xf'(x) = 1 - 2x: f(0)=1>0f'(0) = 1 > 0 (unstable — nearby solutions move away, as the explicit form shows), f(1)=1<0f'(1) = -1 < 0: asymptotically stable (Theorem 19.12 in dimension 11). For x(0)(0,1)x(0) \in \intoo01: f>0f > 0 there, so as long as the solution stays in (0,1)\intoo01 it increases; it can never reach 00 or 11 (uniqueness: those are trajectories), so it stays, is bounded — hence global — and increases to a limit L(x(0),1]L \in \intoc{x(0)}1. If f(L)0f(L) \neq 0, then xc>0x' \geq c > 0 near the limit, forcing xx past LL: so f(L)=0f(L) = 0, L=1L = 1; symmetrically x0x \to 0 at -\infty. Explicitly x(t)=11+Cetx(t) = \frac1{1 + C\eu^{-t}} confirms everything. Generally: if a scalar autonomous solution had x(t0)=0x'(t_0) = 0, then x(t0)x(t_0) is an equilibrium and uniqueness makes xx constant; otherwise f(x(t))f(x(t)) keeps a fixed sign (it never vanishes, and tf(x(t))t \mapsto f(x(t)) is continuous): xx is strictly monotone — so a nonconstant periodic solution is impossible.

Exercise 19.7 ★★

(First integrals) Let H ⁣:ΩRH \colon \Omega \to \R be C1\mathcal C^1 and consider the planar Hamiltonian system x=yHx' = \partial_yH, y=xHy' = -\partial_xH. (a) Show that HH is constant along solutions. (b) For H=y22+x44H = \frac{y^2}2 + \frac{x^4}4: show all solutions are global and bounded, and that the origin is stable (Lyapunov: HH) though the linearization ((0100)\bigl(\begin{smallmatrix}0&1\\0&0\end{smallmatrix}\bigr)) is not asymptotically stable: linearization can be inconclusive.

Solution

Solution of Exercise 19.7.

(a)  ⁣d ⁣dtH(x,y)=Hxx+Hyy=HxHy+Hy(Hx)=0\frac{\dd}{\dd t}H(x,y) = H_xx' + H_yy' = H_xH_y + H_y(-H_x) = 0. (b) The level sets of H=y22+x44H = \frac{y^2}2 + \frac{x^4}4 are compact (HH coercive), so solutions are trapped in compacts: global and bounded (Theorem 19.5). Stability of (0,0)(0,0): V=HV = H is positive definite (H=0H = 0 only at the origin) with V˙=0\dot V = 0: Theorem 19.11. The linearization x=yx' = y, y=0y' = 0 has the non-diagonalizable nilpotent matrix with eigenvalue 00: Theorem 19.12 is silent (its hypothesis Reλ<0\operatorname{Re}\lambda < 0 fails), and indeed the linearized system is unstable (y00y_0 \ne 0 drifts) while the nonlinear one is stable: linearization at a non-hyperbolic equilibrium proves nothing.

Exercise 19.8 ★★★

(Damped pendulum) x+cx+sinx=0x'' + cx' + \sin x = 0, c>0c > 0; system: x=yx' = y, y=sinxcyy' = -\sin x - cy. (a) Show V(x,y)=y22+1cosxV(x, y) = \frac{y^2}2 + 1 - \cos x satisfies V˙=cy20\dot V = -cy^2 \leq 0: the origin is stable. (b) V˙\dot V vanishes on the whole axis y=0y = 0: Lyapunov’s strict criterion fails. Prove asymptotic stability anyway, by linearization (Theorem 19.12): compute the eigenvalues of the linearized matrix at (0,0)(0,0) and check Re<0\operatorname{Re} < 0 for every c>0c > 0. (c) What happens at the equilibrium (π,0)(\pi, 0)? Compute the linearization and conclude (one eigenvalue positive: instability — you may use the instability statement informally or produce an explicit escaping solution of the linear system).

Solution

Solution of Exercise 19.8.

(a) V˙=yy+sinxx=y(sinxcy)+ysinx=cy20\dot V = y\,y' + \sin x\cdot x' = y(-\sin x - cy) + y\sin x = -cy^2 \leq 0, and V=y22+(1cosx)V = \frac{y^2}2 + (1 - \cos x) is positive definite on {x<2π}\{\abs x < 2\pi\} around the origin: stable (Theorem 19.11). (b) The linearized matrix at (0,0)(0,0) is (011c)\bigl(\begin{smallmatrix}0 & 1\\ -1 & -c\end{smallmatrix}\bigr), with characteristic polynomial λ2+cλ+1\lambda^2 + c\lambda + 1: roots c±c242\frac{-c \pm \sqrt{c^2 - 4}}2 — both real negative if c2c \geq 2, complex with real part c2<0-\frac c2 < 0 if 0<c<20 < c < 2. In all cases Reλ<0\operatorname{Re}\lambda < 0: Theorem 19.12 gives asymptotic stability (despite the degenerate V˙\dot V). (c) At (π,0)(\pi, 0): sin(π+u)=sinu\sin(\pi + u) = -\sin u, linearization (011c)\bigl(\begin{smallmatrix}0&1\\1&-c\end{smallmatrix}\bigr), characteristic λ2+cλ1\lambda^2 + c\lambda - 1: roots of opposite signs (λ+λ=1\lambda_+\lambda_- = -1). Along the unstable eigenvector, the linear system has the explicitly escaping solution eλ+tv+\eu^{\lambda_+t}v_+ with λ+>0\lambda_+ > 0: the inverted pendulum is unstable for every damping.

Exercise 19.9 ★★

(Uniqueness frontier) For α(0,1)\alpha \in \intoo01, show that the problem x=xαx' = \abs x^{\alpha}, x(0)=0x(0) = 0 has infinitely many solutions (adapt Problem 7.1, Part III). Show on the contrary that for α=1\alpha = 1 (i.e. x=xx' = \abs x) the solution through 00 is unique, and identify precisely which hypothesis of Theorem 19.2 distinguishes the two cases.

Solution

Solution of Exercise 19.9.

For α(0,1)\alpha \in \intoo01: besides x0x \equiv 0, each

xc(t)={0tc,((1α)(tc))1/(1α)tc,x_c(t) = \begin{cases}0 & t \leq c,\\ \bigl((1-\alpha)(t - c)\bigr)^{1/(1-\alpha)} & t \geq c, \end{cases}

is C1\mathcal C^1 and solves the equation (the exponent 11α>1\frac1{1-\alpha} > 1 makes the derivative vanish at cc): a continuum of solutions through (0,0)(0,0). For α=1\alpha = 1: xxx \mapsto \abs x is globally 11-Lipschitz (abab\abs{\abs a - \abs b} \leq \abs{a - b}), so Theorem 19.2 applies and the only solution through 00 is x0x \equiv 0. The frontier is exactly the local Lipschitz condition at 00: xα\abs x^\alpha has unbounded difference quotients there for α<1\alpha < 1.

Exercise 19.10 ★★★

(A priori bounds trap solutions) Let F ⁣:RdRdF \colon \R^d \to \R^d be locally Lipschitz with F(x),x0\langle F(x), x\rangle \leq 0 whenever xR\norm x \geq R. (a) Show that the closed ball Bˉ(0,R)\bar B(0, R) is positively invariant: solutions starting inside stay inside for t0t \geq 0. (If x(t2)>R\norm{x(t_2)} > R, consider the last time t1<t2t_1 < t_2 with x(t1)=R\norm{x(t_1)} = R and study  ⁣d ⁣dtx(t)2\frac{\dd}{\dd t}\norm{x(t)}^2 on [t1,t2]\intcc{t_1}{t_2}.) (b) Deduce global forward existence for data in the ball. Then treat the gradient system x=G(x)x' = -\nabla G(x), GC2G \in \mathcal C^2 with G(x)+G(x) \to +\infty as x\norm x \to \infty: show GG decreases along solutions, that each solution stays in the (bounded) sublevel set {GG(x0)}\{G \leq G(x_0)\}, and conclude global forward existence.

Solution

Solution of Exercise 19.10.

(a) Suppose x(t2)>R\norm{x(t_2)} > R for some t2>0t_2 > 0 with x(0)R\norm{x(0)} \leq R, and let t1=sup{tt2:x(t)R}t_1 = \sup\{t \leq t_2 : \norm{x(t)} \leq R\}: then x(t1)=R\norm{x(t_1)} = R and x(t)>R\norm{x(t)} > R on (t1,t2]\intoc{t_1}{t_2}. On that interval g(t)=x(t)2g(t) = \norm{x(t)}^2 has g(t)=2x(t),F(x(t))0g'(t) = 2\langle x(t), F(x(t))\rangle \leq 0 (the hypothesis applies: x(t)R\norm{x(t)} \geq R), so g(t2)g(t1)=R2g(t_2) \leq g(t_1) = R^2: contradiction. The ball is positively invariant. (b) A solution trapped in the compact ball cannot have T+<T_+ < \infty (Theorem 19.5(2)): global forward. Gradient system:  ⁣d ⁣dtG(x(t))=G,G=G(x(t))20\frac{\dd}{\dd t}G(x(t)) = \langle\nabla G, -\nabla G\rangle = -\norm{\nabla G(x(t))}^2 \leq 0: GG decreases, so the solution stays in {GG(x0)}\{G \leq G(x_0)\}, which is bounded (coercivity: outside a large ball, G>G(x0)G > G(x_0)) and closed: compact. Escape is impossible: every solution of a coercive gradient system is global forward, sliding downhill forever.

Exercise 19.11 ★★

(Blow-up by comparison) Consider x=x2+t2x' = x^2 + t^2, x(0)=1x(0) = 1. (a) Show the maximal solution exists on some [0,T+)\intco0{T_+} with T+<T_+ < \infty: compare with y=y2y' = y^2, y(0)=1y(0) = 1 (prove the comparison lemma you need: if xF(x)x' \geq F(x) and y=F(y)y' = F(y) with x(0)y(0)x(0) \geq y(0), then xyx \geq y where both live), and deduce T+1T_+ \leq 1. (b) Bound T+T_+ from below: on [0,1]\intcc01, xx2+1x' \leq x^2 + 1; compare with the supersolution z=z2+1z' = z^2 + 1, z(0)=1z(0) = 1, solved by z(t)=tan(t+π4)z(t) = \tan\bigl(t + \frac\pi4\bigr), and conclude T+π4T_+ \geq \frac\pi4. (c) Assemble π4T+1\frac\pi4 \leq T_+ \leq 1 and frame the moral: superlinear growth of the right-hand side is what kills global existence (Exercise 19.3 being the counterpoint), the frontier being the convergence of  ⁣dsF(s)\int^{\infty}\frac{\dd s}{F(s)}.

Solution

Solution of Exercise 19.11.

(a) Comparison lemma: let w=xyw = x - y on the common interval; w(0)0w(0) \geq 0 and w=xyF(x)F(y)=c(t)ww' = x' - y' \geq F(x) - F(y) = c(t)w with c(t)=F(x)F(y)xyc(t) = \frac{F(x) - F(y)}{x - y} bounded on compact time intervals (FF locally Lipschitz); then (wec)0(w\eu^{-\int c})' \geq 0, so w0w \geq 0 throughout. With F(x)=x2F(x) = x^2: y(t)=11ty(t) = \frac1{1 - t} blows up at 11, and xyx \geq y as long as xx lives; if T+>1T_+ > 1, then xx would be finite at t=1t = 1 while dominating yy \to \infty: absurd. T+1T_+ \leq 1.

(b) The reversed comparison (same lemma, roles swapped): on [0,1][0,T+)\intcc01\cap\intco0{T_+}, t21t^2 \leq 1 gives xx2+1x' \leq x^2 + 1, while z(t)=tan(t+π4)z(t) = \tan(t + \frac\pi4) satisfies z=z2+1z' = z^2 + 1, z(0)=1=x(0)z(0) = 1 = x(0): hence xzx \leq z as long as both are defined. Since zz is finite on [0,π4)\intco0{\frac\pi4}, xx cannot blow up before π4\frac\pi4: T+π4T_+ \geq \frac\pi4.

(c) Together: π4T+1\frac\pi4 \leq T_+ \leq 1 (numerically T+0.96T_+ \approx 0.96). Moral: for x=F(t,x)x' = F(t, x) with FF superlinear in xx, solutions explode in finite time whenever  ⁣dsF(s)<\int^\infty\frac{\dd s}{F(s)} < \infty (the comparison solution reaches infinity in that finite time); linear growth, where the integral diverges, forces global existence (Exercise 19.3). It is the same Osgood integral as in Problem 7.1, now governing the escape to infinity rather than the escape from zero.

Exercise 19.12 ★★★

(Sturm’s comparison theorem) Let q1q2q_1 \leq q_2 be continuous on an interval II, and let u0u \neq 0 solve u+q1u=0u'' + q_1u = 0, v0v \neq 0 solve v+q2v=0v'' + q_2v = 0. (a) Establish the Wronskian identity: with W=uvuvW = uv' - u'v, W=(q1q2)uvW' = (q_1 - q_2)\,uv. (b) (Sturm) Show that between two consecutive zeros a<ba < b of uu, either vv vanishes somewhere in (a,b)\intoo ab, or q1=q2q_1 = q_2 and vuv \propto u there (assume u>0u > 0 on (a,b)\intoo ab and v>0v > 0 too; integrate (a) from aa to bb and inspect the signs of the boundary terms W(a),W(b)W(a), W(b)). (c) Deduce: solutions of u+qu=0u'' + qu = 0 with qm>0q \geq m > 0 vanish at least once in every interval of length π/m\pi/\sqrt m (compare with v+mv=0v'' + mv = 0); solutions with q0q \leq 0 vanish at most once on R\R. Test both on q±1q \equiv \pm1.

Solution

Solution of Exercise 19.12.

(a) W=uvuv=u(q2v)(q1u)v=(q1q2)uvW' = uv'' - u''v = u(-q_2v) - (-q_1u)v = (q_1 - q_2)\,uv.

(b) Let a<ba < b be consecutive zeros of uu; normalize u>0u > 0 on (a,b)\intoo ab (so u(a)>0u'(a) > 0, u(b)<0u'(b) < 0 — nonzero by uniqueness, since u(a)=u(a)=0u(a) = u'(a) = 0 would force u0u \equiv 0). Suppose vv has no zero in (a,b)\intoo ab; normalize v>0v > 0 there (hence v(a),v(b)0v(a), v(b) \geq 0 by continuity). Integrate (a):

W(b)W(a)=ab(q1q2)uv    0.W(b) - W(a) = \int_a^b(q_1 - q_2)\,uv \;\leq\; 0 .

But W(a)=u(a)v(a)u(a)v(a)=u(a)v(a)0W(a) = u(a)v'(a) - u'(a)v(a) = -u'(a)v(a) \leq 0 and W(b)=u(b)v(b)0W(b) = -u'(b)v(b) \geq 0: so W(b)W(a)0W(b) - W(a) \geq 0. Equality throughout: (q1q2)uv=0\int(q_1 - q_2)uv = 0 with uv>0uv > 0 on the open interval forces q1=q2q_1 = q_2 there; and W(a)=W(b)=0W(a) = W(b) = 0 forces v(a)=v(b)=0v(a) = v(b) = 0; then W0W \equiv 0 on [a,b]\intcc ab (its derivative vanishes), i.e. (v/u)=W/u2=0(v/u)' = -W/u^2 = 0 on (a,b)\intoo ab: vuv \propto u.

(c) Take q1=mq_1 = m and u=sin(m(tt0))u = \sin(\sqrt m(t - t_0)), whose consecutive zeros are π/m\pi/\sqrt m apart, and q2=qmq_2 = q \geq m: by (b), every solution vv of v+qv=0v'' + qv = 0 vanishes in each open interval of length π/m\pi/\sqrt m (in the degenerate alternative qmq \equiv m, vuv \propto u vanishes too). If instead q0q \leq 0: apply (b) with q1=qq_1 = q, u=vu = v, and q2=0q_2 = 0 with the zero-free solution 1\mathbf 1 of v=0v'' = 0. If vv had two consecutive zeros, (b) would force either a zero of 1\mathbf 1 between them or the degenerate case 1v\mathbf 1 \propto v — both absurd: vv vanishes at most once. Tests: for q=1q = 1, sint\sin t vanishes every π=π/1\pi = \pi/\sqrt1, as predicted; for q=1q = -1, sinht\sinh t vanishes exactly once and et\eu^t never — at most one zero, as predicted.

19.6 Problem: the pendulum, completely solved

Problem 19.1

Weekend problem — oscillations, rotations, separatrix, and the period

The pendulum equation x=sinxx'' = -\sin x — as a system: x=yx' = y, y=sinxy' = -\sin x on R2\R^2 — is the drosophila of dynamics: simple to write, impossible to solve by elementary formulas, yet completely understandable by the qualitative method. Let E(x,y)=y22cosxE(x, y) = \frac{y^2}2 - \cos x (the energy).

Part I — Global structure.

  1. Show that all maximal solutions are global (R\R-defined): use E˙=0\dot E = 0 and Theorem 19.5. Equilibria: (kπ,0)(k\pi, 0); classify their linearizations (center-type for even kk, saddle for odd kk).
  2. Show that the trajectories are contained in the level sets {E=E0}\{E = E_0\}, and sketch/describe them by the value of E0[1,+)E_0 \in \intco{-1}{+\infty}: E0=1E_0 = -1 (equilibria), 1<E0<1-1 < E_0 < 1 (closed curves around (2kπ,0)(2k\pi, 0)), E0=1E_0 = 1 (the separatrix through (±π,0)(\pm\pi, 0)), E0>1E_0 > 1 (graphs over xx: rotations).
  3. Prove that the bottom equilibrium (0,0)(0,0) is stable but not asymptotically stable. (Lyapunov with V=E+1V = E + 1; non-asymptotic: energy conservation traps orbits on level curves away from the origin.)

Part II — Oscillations and their period. Fix 1<E0<1-1 < E_0 < 1 and write E0=cosaE_0 = -\cos a with a(0,π)a \in \intoo0\pi (the amplitude).

  1. Show that the solution with x(0)=ax(0) = a, y(0)=0y(0) = 0 oscillates: x(t)[a,a]x(t) \in \intcc{-a}a, and the orbit is the closed curve y2=2(cosxcosa)y^2 = 2(\cos x - \cos a). Justify that the solution is periodic: the orbit is a compact curve without equilibria, traversed at speed bounded below — make this an argument (the solution returns to its initial point in finite time, then uniqueness forces periodicity).
  2. Establish the period formula

    T(a)=40a ⁣dx2(cosxcosa)T(a) = 4\int_0^{a}\frac{\dd x}{\sqrt{2(\cos x - \cos a)}}

    (on a quarter-orbit, y= ⁣dx ⁣dt>0y = \frac{\dd x}{\dd t} > 0 and separate variables; justify the improper convergence at x=ax = a).

  3. (Small oscillations) Substitute sinx2=sina2sinφ\sin\frac x2 = \sin\frac a2\,\sin\varphi and show

    T(a)=40π/2 ⁣dφ1k2sin2φ,k=sina2T(a) = 4\int_0^{\pi/2}\frac{\dd\varphi}{\sqrt{1 - k^2\sin^2\varphi}}, \qquad k = \sin\frac a2

    (a complete elliptic integral). Deduce by dominated convergence that T(a)2πT(a) \to 2\pi as a0+a \to 0^+: the harmonic limit, independent of amplitude — Galileo’s approximate isochronism, with its exact correction T(a)=2π(1+k24+O(k4))T(a) = 2\pi\bigl(1 + \frac{k^2}4 + O(k^4)\bigr) (expand the integrand and integrate term by term, justifying by normal convergence).

  4. Show that T(a)+T(a) \to +\infty as aπa \to \pi^- (bound the integrand below near φ=π2\varphi = \frac\pi2 when k1k \to 1, or apply monotone convergence): approaching the separatrix, the pendulum slows without bound.

Part III — The separatrix.

  1. For E0=1E_0 = 1, y=2cosx2y = 2\cos\frac x2 on the upper branch: separate variables and integrate to find the explicit solution

    x(t)=4arctan(et)πx(t) = 4\arctan\bigl(\eu^{t}\bigr) - \pi

    (with x(0)=0x(0) = 0, y(0)=2y(0) = 2). Verify directly that it solves the pendulum equation, and compute its limits and the limits of y(t)y(t) as t±t \to \pm\infty.

  2. Conclude: the separatrix orbit connects the saddle (π,0)(-\pi, 0) (as tt \to -\infty) to the saddle (π,0)(\pi, 0) (as t+t \to +\infty) but reaches neither in finite time — consistent with uniqueness (why would reaching a saddle in finite time contradict Corollary 19.4?).

Part IV — Rotations, and the full picture.

  1. For E0>1E_0 > 1: show yy never vanishes, xx is strictly monotone and global with x(t)±x(t) \to \pm\infty, and ty(t)t \mapsto y(t) is periodic with period

    τ(E0)=ππ ⁣dx2(E0+cosx).\tau(E_0) = \int_{-\pi}^{\pi} \frac{\dd x}{\sqrt{2(E_0 + \cos x)}} .
  2. Assemble the complete phase portrait (the chapter’s figure) with full justification of each feature, and write a ten-line summary of the method: energy, level sets, compactness, uniqueness — how each theorem of the chapter entered. Where did we ever need a formula for the general solution?

Part V — The period function under the microscope.

  1. Prove the Wallis moments

    Wn=0π/2sin2nφ ⁣dφ=π2(2n)!4n(n!)2W_n = \int_0^{\pi/2}\sin^{2n}\varphi\,\dd\varphi = \frac\pi2\cdot\frac{(2n)!}{4^n\,(n!)^2}

    by induction (integrate by parts), expand the integrand of question 6 by the binomial series, and justify term-by-term integration to obtain the full series

    T(a)=2πn0((2n)!4n(n!)2) ⁣2k2n=2π(1+k24+9k464+O(k6)),k=sina2.T(a) = 2\pi\sum_{n\geq0} \Bigl(\frac{(2n)!}{4^n(n!)^2}\Bigr)^{\!2}k^{2n} = 2\pi\Bigl(1 + \frac{k^2}4 + \frac{9k^4}{64} + O(k^6)\Bigr), \qquad k = \sin\frac a2 .
  2. Convert to the amplitude:

    T(a)=2π(1+a216+11a43072+O(a6))T(a) = 2\pi\Bigl(1 + \frac{a^2}{16} + \frac{11\,a^4}{3072} + O(a^6)\Bigr)

    (substitute the expansion of sina2\sin\frac a2 and collect). Isochronism fails at order a2a^2, and the failure is now quantified to order a4a^4.

  3. Show that aT(a)a \mapsto T(a) is continuous and strictly increasing on (0,π)\intoo0\pi, and conclude with questions 6–7 that TT is a bijection from (0,π)\intoo0\pi onto (2π,+)\intoo{2\pi}{+\infty}: every supercritical period is realized by exactly one amplitude.
  4. (Clockmaker’s arithmetic) A pendulum regulated at vanishing amplitude keeps ideal time; show that run at amplitude aa it lags by the fraction a216+O(a4)\frac{a^2}{16} + O(a^4) of ideal time, and compute the drift for a=0.2a = 0.2 rad: about 216216 seconds per day. (Huygens’ cycloidal cheeks and the small constant amplitudes of escapements are both answers to this number.)
  5. Return to the rotation period τ\tau of question 10: show that τ\tau is strictly decreasing on (1,+)\intoo1{+\infty}, that τ(E0)+\tau(E_0) \to +\infty as E01+E_0 \to 1^+ (monotone convergence), and that 2E0τ(E0)2π\sqrt{2E_0}\,\tau(E_0) \to 2\pi as E0+E_0 \to +\infty (dominated convergence): fast whirling is asymptotically free rotation at angular speed 2E0\sqrt{2E_0}.

Part VI — The method exported: Lotka–Volterra. The pendulum’s recipe — first integral, compact level curves, uniqueness — solves an ecosystem. Fix α,β,γ,δ>0\alpha, \beta, \gamma, \delta > 0 and consider, on the open quadrant Q=(0,+)×(0,+)Q = \intoo0{+\infty}\times\intoo0{+\infty},

x=x(αβy),y=y(δxγ)x' = x\,(\alpha - \beta y), \qquad y' = y\,(\delta x - \gamma)

(xx prey, yy predators).

  1. Show that QQ is invariant — the axes are unions of orbits, explicitly computable, that no solution may cross (Corollary 19.4) — and that the unique equilibrium in QQ is (x,y)=(γδ,αβ)(x_*, y_*) = \bigl(\frac\gamma\delta, \frac\alpha\beta\bigr).
  2. Show that

    H(x,y)=δxγlnx+βyαlnyH(x, y) = \delta x - \gamma\ln x + \beta y - \alpha\ln y

    is a first integral, that H=f(x)+g(y)H = f(x) + g(y) with f,gf, g strictly convex and proper on (0,+)\intoo0{+\infty} with minima at xx_*, yy_*, and deduce that all maximal solutions in QQ are global.

  3. Show that for h>h=H(x,y)h > h_* = H(x_*, y_*) the level set {H=h}Q\{H = h\}\cap Q is a closed curve around the equilibrium: two continuous branches y±(x)y_\pm(x) over a compact interval [x,x+]x\intcc{x_-}{x_+} \ni x_*, glued at the endpoints — the analogue of the pendulum’s ovals.
  4. Prove that every nonequilibrium orbit in QQ is periodic: establish the counterclockwise circulation through the four regions cut by the lines x=xx = x_* and y=yy = y_*, bound the crossing time of each arc by an integral with a convergent square-root singularity (as in question 5), and close with uniqueness (as in question 4).
  5. (Volterra’s law of averages) If TT is the period of such an orbit, show that

    1T0Tx(t) ⁣dt=γδ,1T0Ty(t) ⁣dt=αβ:\frac1T\int_0^Tx(t)\,\dd t = \frac\gamma\delta, \qquad \frac1T\int_0^Ty(t)\,\dd t = \frac\alpha\beta :

    the time averages equal the equilibrium values, whatever the amplitude (integrate (lnx)=αβy(\ln x)' = \alpha - \beta y over one period).

  6. (The fishing paradox) Harvest both species at rate ε(0,α)\varepsilon \in \intoo0\alpha: the system keeps its form with αε\alpha - \varepsilon and γ+ε\gamma + \varepsilon in place of α\alpha and γ\gamma. What happens to the average populations? Explain d’Ancona’s observation (1914–1918): when Adriatic fishing decreased during the war, the proportion of predators (sharks) in the catch increased — and why moderate fishing favors the prey.
  7. Write the ten-line moral: which theorems of the chapter power each step, what replaces the pendulum’s energy, and why neither system needed — or admits — an elementary closed-form solution.
  8. (Speed modulation) In the rotation regime E0>1E_0 > 1, show that y=xy = x' oscillates between 2(E01)\sqrt{2(E_0 - 1)} (at xπmod2πx \equiv \pi \bmod 2\pi) and 2(E0+1)\sqrt{2(E_0 + 1)} (at x0x \equiv 0), that the time average of yy over one period is exactly 2πτ(E0)\frac{2\pi}{\tau(E_0)}, and that the modulation ratio E0+1E011\sqrt{\frac{E_0 + 1}{E_0 - 1}} \to 1 as E0E_0 \to \infty: fast rotation is asymptotically uniform.
  9. (Monotonicity of the rotation period) Show that τ(E0)\tau(E_0) is C1\mathcal C^1 and strictly decreasing on (1,+)\intoo1{+\infty} (differentiate under the integral sign, with domination on every [1+δ,)\intco{1 + \delta}\infty), with τ\tau \to \infty as E01+E_0 \to 1^+ and τ0\tau \to 0 as E0E_0 \to \infty. Assemble the full bifurcation picture of the pendulum along the energy axis: equilibria at E0=1E_0 = -1, librations with period increasing from 2π2\pi to \infty on 1<E0<1-1 < E_0 < 1, the separatrix at E0=1E_0 = 1, and rotations with period decreasing from \infty to 00 beyond.
Solution

Solution of Problem 19.1.

1. E˙=yy+sinxx=ysinx+ysinx=0\dot E = yy' + \sin x\cdot x' = -y\sin x + y\sin x = 0: energy is a first integral. On a maximal solution, y2=2(E0+cosx)2(E0+1)y^2 = 2(E_0 + \cos x) \leq 2(E_0 + 1): yy is bounded; then x(t)x(0)+tsupy\abs{x(t)} \leq \abs{x(0)} + t\sup\abs y grows at most linearly: on any finite time interval the trajectory stays in a compact of R2\R^2, so Theorem 19.5(2) forces T±=±T_\pm = \pm\infty. Equilibria (kπ,0)(k\pi, 0); linearization (0110)\bigl(\begin{smallmatrix}0&1\\ \mp1&0\end{smallmatrix}\bigr) with cos(kπ)=1-\cos(k\pi) = \mp1: eigenvalues ±i\pm\iu for even kk (center type, inconclusive by itself) and ±1\pm1 for odd kk (saddle).

2. EE constant along solutions confines each trajectory to a level set {y2=2(E0+cosx)}\{y^2 = 2(E_0 + \cos x)\}. For E0=1E_0 = -1: only the points (2kπ,0)(2k\pi, 0). For 1<E0<1-1 < E_0 < 1: writing E0=cosaE_0 = -\cos a, the set is a disjoint union of closed curves y=±2(cosxcosa)y = \pm\sqrt{2(\cos x - \cos a)} over x[2kπa,2kπ+a]x \in [2k\pi - a, 2k\pi + a], one around each stable equilibrium. For E0=1E_0 = 1: the curves y=±2cosx2y = \pm2\cos\frac x2 joining consecutive saddles — the separatrix — together with the saddles themselves. For E0>1E_0 > 1: two graphs y=±2(E0+cosx)y = \pm\sqrt{2(E_0 + \cos x)}, defined for all xx, never touching y=0y = 0.

3. V=E+1=y22+(1cosx)V = E + 1 = \frac{y^2}2 + (1 - \cos x) vanishes at (0,0)(0,0), is positive on a punctured neighborhood (x<2π\abs x < 2\pi), and V˙=00\dot V = 0 \leq 0: Theorem 19.11 gives stability. Not asymptotic: the solution through (a,0)(a, 0) (0<a0 < a small) remains on the level curve E=cosaE = -\cos a, whose distance to the origin is positive (the curve meets the xx-axis only at ±a\pm a): φt(a,0)↛(0,0)\varphi_t(a, 0) \not\to (0,0).

4. On the level curve CaC_a: no equilibria (y=0y = 0 forces x=±ax = \pm a with sin(±a)0\sin(\pm a) \neq 0 for 0<a<π0 < a < \pi), so the speed (y,sinx)\norm{(y, -\sin x)} has a positive minimum mm on the compact CaC_a. Follow the solution from (a,0)(a, 0): in the lower half plane x=y<0x' = y < 0, so xx decreases from aa to a-a in finite time (the quarter/half period integrals converge: question 5’s analysis), reaching (a,0)(-a, 0); by the symmetry (x,y)(x,y)(x, y) \mapsto (x, -y), ttt \mapsto -t of the equation, the upper half is traversed back in the same time T2\frac T2: the solution returns to (a,0)(a, 0) at time TT. Uniqueness (Corollary 19.4) then propagates: x(t+T)=x(t)x(t + T) = x(t) for all tt: periodic.

5. On the branch where y>0y > 0: y=2(cosxcosa)y = \sqrt{2(\cos x - \cos a)} and  ⁣dt= ⁣dxy\dd t = \frac{\dd x}{y}; integrating xx from a-a to aa gives the half period, and the symmetry xxx \mapsto -x halves the integral again:

T(a)=40a ⁣dx2(cosxcosa).T(a) = 4\int_0^a\frac{\dd x}{\sqrt{2(\cos x - \cos a)}} .

Convergence at x=ax = a^-: cosxcosa=sin(a)(ax)+O((ax)2)\cos x - \cos a = \sin(a)(a - x) + O((a-x)^2) with sina>0\sin a > 0: the integrand behaves like (2sina(ax))1/2\bigl(2\sin a\,(a - x)\bigr)^{-1/2}, integrable.

6. With sinx2=ksinφ\sin\frac x2 = k\sin\varphi, k=sina2k = \sin\frac a2: cosxcosa=2(k2sin2x2)=2k2cos2φ\cos x - \cos a = 2(k^2 - \sin^2\frac x2) = 2k^2\cos^2\varphi and 12cosx2 ⁣dx=kcosφ ⁣dφ\frac12\cos\frac x2\,\dd x = k\cos\varphi\,\dd\varphi, so

T(a)=40π/2 ⁣dφ1k2sin2φ.T(a) = 4\int_0^{\pi/2} \frac{\dd\varphi}{\sqrt{1 - k^2\sin^2\varphi}} .

As a0+a \to 0^+, k0k \to 0: for kk0<1k \leq k_0 < 1 the integrand is dominated by (1k02sin2φ)1/2(1 - k_0^2\sin^2\varphi)^{-1/2}, continuous on [0,π/2]\intcc0{\pi/2}: DCT gives T4π2=2πT \to 4\cdot\frac\pi2 = 2\pi. Expanding (1u)1/2=1+u2+3u28+(1 - u)^{-1/2} = 1 + \frac u2 + \frac{3u^2}8 + \cdots with u=k2sin2φu = k^2\sin^2\varphi (normal convergence for k<1k < 1) and 0π/2sin2=π4\int_0^{\pi/2}\sin^2 = \frac\pi4:

T(a)=2π(1+k24+O(k4)):T(a) = 2\pi\Bigl(1 + \frac{k^2}{4} + O(k^4)\Bigr) :

isochronism holds only to first order; the period grows with amplitude.

7. As k1k \uparrow 1 the integrands increase to (1sin2φ)1/2=1cosφ(1 - \sin^2\varphi)^{-1/2} = \frac1{\cos\varphi}, whose integral diverges: by monotone convergence, T(a)+T(a) \to +\infty as aπa \to \pi^-.

8. On the branch y=2cosx2y = 2\cos\frac x2 (x<π\abs x < \pi):  ⁣dx2cos(x/2)= ⁣dt\frac{\dd x}{2\cos(x/2)} = \dd t; with u=x2u = \frac x2,  ⁣ducosu=lntan(u2+π4)\int\frac{\dd u}{\cos u} = \ln\tan\bigl(\frac u2 + \frac\pi4\bigr), so t=lntan(x4+π4)t = \ln\tan\bigl(\frac x4 + \frac\pi4\bigr), i.e.

x(t)=4arctan(et)π,y(t)=x(t)=4et1+e2t=2cosht.x(t) = 4\arctan(\eu^t) - \pi, \qquad y(t) = x'(t) = \frac{4\eu^t}{1 + \eu^{2t}} = \frac{2}{\cosh t} .

Verification via the energy: with θ=arctanet\theta = \arctan\eu^t, sin2θ=1cosht\sin2\theta = \frac1{\cosh t}, so cosx=cos4θ=1+2cosh2t\cos x = -\cos4\theta = -1 + \frac{2}{\cosh^2t} and E=y22cosx=2cosh2t+12cosh2t=1E = \frac{y^2}2 - \cos x = \frac2{\cosh^2t} + 1 - \frac2{\cosh^2t} = 1: the trajectory lies on the separatrix, and differentiating y2=2(1+cosx)y^2 = 2(1 + \cos x) where y>0y > 0 reproduces y=sinxy' = -\sin x. Limits: x±πx \to \pm\pi and y0y \to 0 as t±t \to \pm\infty.

9. The orbit tends to the saddle (π,0)(\pi, 0) forward and (π,0)(-\pi, 0) backward but never arrives: if it reached (π,0)(\pi, 0) at a finite time tt^*, two distinct maximal solutions — the separatrix solution and the constant solution at the saddle — would pass through the same point (t,(π,0))(t^*, (\pi, 0)), contradicting Corollary 19.4. Saddles are approached only asymptotically.

10. For E0>1E_0 > 1: y2=2(E0+cosx)2(E01)>0y^2 = 2(E_0 + \cos x) \geq 2(E_0 - 1) > 0: yy keeps its sign, and x=y2(E01)\abs{x'} = \abs y \geq \sqrt{2(E_0 - 1)}: xx is strictly monotone, global (question 1), with x(t)±x(t) \to \pm\infty. Since y(t)=±2(E0+cosx(t))y(t) = \pm\sqrt{2(E_0 + \cos x(t))} and cos\cos is 2π2\pi-periodic, yy returns to its value each time xx advances by 2π2\pi; the time needed is

τ(E0)=x0x0+2π ⁣dx2(E0+cosx)=ππ ⁣dx2(E0+cosx)\tau(E_0) = \int_{x_0}^{x_0 + 2\pi}\frac{\dd x}{\sqrt{2(E_0 + \cos x)}} = \int_{-\pi}^{\pi}\frac{\dd x}{\sqrt{2(E_0 + \cos x)}}

(substitution; periodicity): yy is τ\tau-periodic — the pendulum whirls with asymptotically constant rotation rate 2π/τ2E02\pi/\tau \approx \sqrt{2E_0} for large energies.

11. The method, in order: energy (E˙=0\dot E = 0) reduces the two-dimensional flow to one-dimensional level curves; boundedness of yy on each level plus escape-from-compacts gives global existence; compactness of the closed levels gives speed bounds and hence periodicity; uniqueness converts the first-return into exact periodicity, forbids finite-time arrival at saddles, and separates the orbit types; linearization and Lyapunov classify the equilibria; the period integral is analyzed with the convergence theorems of Chapter 10. At no point did we possess — or need — a closed-form general solution: the qualitative theory extracted every feature of the motion from the equation itself.

12. Parts: Wn=0π/2sin2n1φsinφ ⁣dφ=(2n1)0π/2sin2n2φcos2φ ⁣dφ=(2n1)(Wn1Wn)W_n = \int_0^{\pi/2}\sin^{2n-1}\varphi \cdot\sin\varphi\,\dd\varphi = (2n-1)\int_0^{\pi/2} \sin^{2n-2}\varphi\cos^2\varphi\,\dd\varphi = (2n-1)(W_{n-1} - W_n), so Wn=2n12nWn1W_n = \frac{2n-1}{2n}W_{n-1}; with W0=π2W_0 = \frac\pi2 and j=1n2j12j=(2n)!4n(n!)2\prod_{j=1}^n\frac{2j-1}{2j} = \frac{(2n)!}{4^n(n!)^2} (split (2n)!=2nn!(2j1)(2n)! = 2^nn!\prod(2j-1)), induction gives the displayed value. Binomial series: (1u)1/2=n0cnun(1 - u)^{-1/2} = \sum_{n\geq0}c_nu^n with cn=(2n)!4n(n!)2(0,1]c_n = \frac{(2n)!}{4^n(n!)^2} \in \intoc01, radius 11. For kk0<1k \leq k_0 < 1 and u=k2sin2φu = k^2\sin^2\varphi, the series cnk2nsin2nφ\sum c_nk^{2n}\sin^{2n}\varphi converges normally in φ\varphi (cnk2nk02nc_nk^{2n} \leq k_0^{2n}), so term-by-term integration in question 6’s formula is legitimate:

T(a)=4n0cnk2nWn=4π2n0cn2k2n=2πn0((2n)!4n(n!)2) ⁣2k2n.T(a) = 4\sum_{n\geq0}c_nk^{2n}W_n = 4\cdot\frac\pi2\sum_{n\geq0}c_n^2\,k^{2n} = 2\pi\sum_{n\geq0} \Bigl(\frac{(2n)!}{4^n(n!)^2}\Bigr)^{\!2}k^{2n} .

With c0=1c_0 = 1, c1=12c_1 = \frac12, c2=38c_2 = \frac38: T(a)=2π(1+k24+9k464+O(k6))T(a) = 2\pi\bigl(1 + \frac{k^2}4 + \frac{9k^4}{64} + O(k^6)\bigr), the remainder uniform for kk0k \leq k_0 (tail dominated by a geometric series).

13. k=sina2=a2a348+O(a5)k = \sin\frac a2 = \frac a2 - \frac{a^3}{48} + O(a^5), so

k2=a24a448+O(a6),k4=a416+O(a6),k^2 = \frac{a^2}4 - \frac{a^4}{48} + O(a^6), \qquad k^4 = \frac{a^4}{16} + O(a^6) ,

and

T(a)2π=1+14(a24a448)+964a416+O(a6)=1+a216+11a43072+O(a6),\frac{T(a)}{2\pi} = 1 + \frac14\Bigl(\frac{a^2}4 - \frac{a^4}{48}\Bigr) + \frac9{64}\cdot\frac{a^4}{16} + O(a^6) = 1 + \frac{a^2}{16} + \frac{11\,a^4}{3072} + O(a^6) ,

since 1192+91024=16+273072=113072-\frac1{192} + \frac9{1024} = \frac{-16 + 27}{3072} = \frac{11}{3072}.

14. In the elliptic form of question 6, ak=sina2a \mapsto k = \sin\frac a2 is a continuous strictly increasing bijection from (0,π)\intoo0\pi onto (0,1)\intoo01, and for each φ(0,π/2]\varphi \in \intoc0{\pi/2} the integrand (1k2sin2φ)1/2(1 - k^2\sin^2\varphi)^{-1/2} is strictly increasing in kk: TT is strictly increasing. Continuity: on kk0<1k \leq k_0 < 1 the integrand is dominated by the continuous (1k02sin2φ)1/2(1 - k_0^2\sin^2\varphi)^{-1/2}, so dominated convergence applies along kkk' \to k. With the limits T2πT \to 2\pi as a0+a \to 0^+ (question 6) and T+T \to +\infty as aπa \to \pi^- (question 7), strict monotonicity and the intermediate value theorem make TT a bijection from (0,π)\intoo0\pi onto (2π,+)\intoo{2\pi}{+\infty}.

15. A clock counts swings; regulated at vanishing amplitude, it books the harmonic period 2π2\pi per swing (in the pendulum’s time unit). Run at amplitude aa, the true period is T(a)=2π(1+a216+O(a4))T(a) = 2\pi\bigl(1 + \frac{a^2}{16} + O(a^4)\bigr): the clock books 2π2\pi while T(a)T(a) really elapses, so it lags by the fraction

T(a)2πT(a)=a216+O(a4).\frac{T(a) - 2\pi}{T(a)} = \frac{a^2}{16} + O(a^4) .

For a=0.2a = 0.2 rad (about 11.511.5 degrees): a216=0.0416=1400\frac{a^2}{16} = \frac{0.04}{16} = \frac1{400}, and a day has 8640086400 s: the clock loses 86400/400=21686400/400 = 216 seconds — some three and a half minutes — per day. Hence the two historical remedies: enforce a tiny constant amplitude (the escapement), or bend the constraint so the period is exactly amplitude-free (Huygens’ cycloidal cheeks, 1657).

16. In τ(E0)=ππ ⁣dx2(E0+cosx)\tau(E_0) = \int_{-\pi}^{\pi}\frac{\dd x}{\sqrt{2(E_0 + \cos x)}} the integrand is, for each fixed xx, strictly decreasing in E0E_0: τ\tau is strictly decreasing. As E01E_0 \downarrow 1 the integrands increase pointwise to (2(1+cosx))1/2=12cosx2\bigl(2(1 + \cos x)\bigr)^{-1/2} = \frac1{2\abs{\cos\frac x2}}, whose integral over (π,π)\intoo{-\pi}\pi diverges (cosx2\cos\frac x2 vanishes to first order at ±π\pm\pi): monotone convergence gives τ(E0)+\tau(E_0) \to +\infty. As E0+E_0 \to +\infty:

2E0τ(E0)=ππ ⁣dx1+cosx/E02π\sqrt{2E_0}\,\tau(E_0) = \int_{-\pi}^{\pi} \frac{\dd x}{\sqrt{1 + \cos x/E_0}} \longrightarrow 2\pi

by dominated convergence (for E02E_0 \geq 2 the integrand is at most 2\sqrt2). So τ2π/2E0\tau \approx 2\pi/\sqrt{2E_0}: one turn takes the time of free rotation at speed 2E0\sqrt{2E_0}, the potential reduced to a ripple — matching question 10’s rotation rate.

17. The axes carry the explicit solutions t(x0eαt,0)t \mapsto (x_0\eu^{\alpha t}, 0) and t(0,y0eγt)t \mapsto (0, y_0\eu^{-\gamma t}), together with the equilibrium (0,0)(0, 0): they are unions of orbits. The field is C1\mathcal C^1, hence locally Lipschitz; a solution starting in QQ that touched an axis would pass through a point of one of those orbits and, by Corollary 19.4, coincide with it — impossible, one living on the axis and the other not. So QQ is invariant in both time directions. Equilibria in QQ: x>0x > 0 forces αβy=0\alpha - \beta y = 0 and y>0y > 0 forces δxγ=0\delta x - \gamma = 0: the single point (x,y)=(γδ,αβ)(x_*, y_*) = \bigl(\frac\gamma\delta, \frac\alpha\beta\bigr).

18. Along a solution,

H˙=(δγx)x+(βαy)y=(δxγ)(αβy)+(βyα)(δxγ)=0.\dot H = \Bigl(\delta - \frac\gamma x\Bigr)x' + \Bigl(\beta - \frac\alpha y\Bigr)y' = (\delta x - \gamma)(\alpha - \beta y) + (\beta y - \alpha)(\delta x - \gamma) = 0 .

f(x)=δxγlnxf(x) = \delta x - \gamma\ln x has f=γ/x2>0f'' = \gamma/x^2 > 0, ff' vanishing only at xx_*, and f+f \to +\infty both at 0+0^+ and at ++\infty: strictly convex and proper, minimum f(x)f(x_*); likewise g(y)=βyαlnyg(y) = \beta y - \alpha\ln y, minimum g(y)g(y_*). So HhH \geq h_* with equality only at (x,y)(x_*, y_*), and each sublevel {Hh}Q\{H \leq h\}\cap Q is compact: f(x)hg(y)f(x) \leq h - g(y_*) confines xx to a compact interval of (0,+)\intoo0{+\infty} by properness, likewise yy, and the set is closed in R2\R^2 since H+H \to +\infty at the boundary of QQ. A maximal solution stays on its compact level set, so it cannot leave every compact in finite time: Theorem 19.5 makes it global.

19. Fix h>hh > h_* and set c=hg(y)>f(x)c = h - g(y_*) > f(x_*). Since ff decreases strictly from ++\infty to f(x)f(x_*) on (0,x]\intoc0{x_*} and increases strictly back to ++\infty on [x,+)\intco{x_*}{+\infty}, the equation f(x)=cf(x) = c has exactly two roots x<x<x+x_- < x_* < x_+, and {fc}=[x,x+]\{f \leq c\} = \intcc{x_-}{x_+}. For x(x,x+)x \in \intoo{x_-}{x_+}: g(y)=hf(x)>g(y)g(y) = h - f(x) > g(y_*) has exactly two roots y(x)<y<y+(x)y_-(x) < y_* < y_+(x), continuous in xx (inverses of the strictly monotone continuous restrictions of gg on either side of yy_*), with y±(x)yy_\pm(x) \to y_* as xx±x \to x_\pm; at x=x±x = x_\pm the unique solution is y=yy = y_*. So {H=h}Q\{H = h\}\cap Q is the union of the graphs of y+y_+ and yy_- over [x,x+]\intcc{x_-}{x_+}, glued at (x±,y)(x_\pm, y_*): a closed curve around (x,y)(x_*, y_*) — the analogue of the pendulum’s ovals.

20. Let Ch={H=h}QC_h = \{H = h\}\cap Q with h>hh > h_*: the only equilibrium of QQ is off ChC_h, so the field never vanishes on it. Signs: x=βx(yy)x' = \beta x(y_* - y), y=δy(xx)y' = \delta y(x - x_*): the motion goes right below the line y=yy = y_*, up to the right of x=xx = x_*, left above, down on the left — counterclockwise circulation. Follow the solution from a point (x0,y(x0))(x_0, y_-(x_0)) of the open lower branch, where x>0x' > 0: the time to reach the right corner B=(x+,y)B = (x_+, y_*) is

x0x+ ⁣dxβx(yy(x)).\int_{x_0}^{x_+}\frac{\dd x}{\beta x\,\bigl(y_* - y_-(x)\bigr)} .

Near x+x_+, choose x(x,x+)x' \in \intoo{x_*}{x_+}; for x[x,x+]x \in \intcc{x'}{x_+}, f(x+)f(x)f(x)(x+x)f(x_+) - f(x) \geq f'(x')\,(x_+ - x) (ff' is increasing and positive past xx_*), while the level relation and Taylor’s inequality give g(y(x))g(y)12(maxg)(yy(x))2g(y_-(x)) - g(y_*) \leq \frac12\,\bigl(\max g''\bigr)\,(y_* - y_-(x))^2 on the compact yy-range of ChC_h: hence yy(x)cx+xy_* - y_-(x) \geq c\,\sqrt{x_+ - x} with c>0c > 0, and the integrand is O((x+x)1/2)O\bigl((x_+ - x)^{-1/2}\bigr): integrable — question 5’s convergence, transposed. Elsewhere on the branch the integrand is continuous. So BB is reached in finite time; there y=δy(x+x)>0y' = \delta y_*(x_+ - x_*) > 0, the orbit enters the region x>xx > x_*, y>yy > y_*, climbs to the top corner (x,y+)(x_*, y_+) by the symmetric estimate (roles of ff and gg exchanged), and so on around the four arcs: after a finite time T>0T > 0 the solution returns to its starting point. By Corollary 19.4 it is TT-periodic — question 4’s argument, verbatim.

21. On a TT-periodic orbit in QQ, tlnx(t)t \mapsto \ln x(t) is C1\mathcal C^1 and TT-periodic, so

0=0T(lnx) ⁣dt=0T(αβy) ⁣dt=αTβ0Ty ⁣dt,0 = \int_0^T(\ln x)'\,\dd t = \int_0^T(\alpha - \beta y)\,\dd t = \alpha T - \beta\int_0^Ty\,\dd t ,

giving 1T0Ty=αβ\frac1T\int_0^Ty = \frac\alpha\beta; likewise 0=0T(lny)=δ0Tx ⁣dtγT0 = \int_0^T(\ln y)' = \delta\int_0^Tx\,\dd t - \gamma T gives 1T0Tx=γδ\frac1T\int_0^Tx = \frac\gamma\delta. The time averages are the equilibrium values, for every orbit regardless of amplitude — a conservation law nobody put in by hand.

22. With harvesting the system is again of Lotka–Volterra form, with parameters αε\alpha - \varepsilon, β\beta, γ+ε\gamma + \varepsilon, δ\delta (the interior equilibrium persists since ε<α\varepsilon < \alpha). Question 21 applied to the new system:

xˉ=γ+εδ  (prey average rises),yˉ=αεβ  (predator average falls):\bar x = \frac{\gamma + \varepsilon}{\delta} \ \ (\text{prey average rises}), \qquad \bar y = \frac{\alpha - \varepsilon}{\beta} \ \ (\text{predator average falls}) :

indiscriminate harvesting shifts the balance toward the prey. D’Ancona’s data read this backwards: the war cut fishing, ε\varepsilon dropped, so the predator average (αε)/β(\alpha - \varepsilon)/\beta rose and the prey average fell — a larger shark fraction in the catch, exactly what the Adriatic fish markets recorded. This is Volterra’s principle, the same mechanism behind pesticide paradoxes: culling both trophic levels benefits the level being eaten.

23. The recipe, both times: (i) a first integral — EE for the pendulum, HH here, found by separating  ⁣dy/ ⁣dx\dd y/\dd x — collapses the plane onto curves; (ii) properness and compactness of the level sets give global existence through Theorem 19.5; (iii) the geometry of the levels — ovals, from the shape of cos\cos there and the strict convexity of ff and gg here — is read off the integral, not the flow; (iv) a nonvanishing field on a compact oval plus integrable corner singularities forces a finite return time; (v) uniqueness (Corollary 19.4) converts return into periodicity and forbids finite-time arrival at equilibria; (vi) the dividends — period expansions, laws of averages — come from the convergence theorems applied to the resulting integrals. Neither x=sinxx'' = -\sin x nor Lotka–Volterra admits an elementary closed-form solution (elliptic integrals in one case, transcendental level curves in the other), and at no point was one needed: the equation itself, interrogated qualitatively, surrendered the entire motion.

24. On an energy level E0>1E_0 > 1, y2=2(E0+cosx)>0y^2 = 2(E_0 + \cos x) > 0: extremes of y2y^2 at cosx=±1\cos x = \pm1, giving the stated bounds, attained at x0,πx \equiv 0, \pi. Time average over one period τ=τ(E0)\tau = \tau(E_0): xx advances by exactly 2π2\pi, so

1τ0τy ⁣dt=x(τ)x(0)τ=2πτ.\frac1\tau\int_0^\tau y\,\dd t = \frac{x(\tau) - x(0)}{\tau} = \frac{2\pi}\tau .

The ratio of extreme speeds is E0+1E01=1+O(E01)1\sqrt{\frac{E_0 + 1}{E_0 - 1}} = 1 + O(E_0^{-1}) \to 1: at high energy the potential’s ±1\pm1 ripple is negligible against E0E_0, and the pendulum spins almost uniformly — the washboard flattens.

25. On E01+δE_0 \geq 1 + \delta, the integrand of τ(E0)=ππ ⁣dx2(E0+cosx)\tau(E_0) = \int_{-\pi}^{\pi}\frac{\dd x}{\sqrt{2(E_0 + \cos x)}} is dominated by (2δ)1/2(2\delta)^{-1/2} and its E0E_0-derivative

E012(E0+cosx)=1(2(E0+cosx))3/2\partial_{E_0}\frac1{\sqrt{2(E_0 + \cos x)}} = -\frac{1}{\bigl(2(E_0 + \cos x)\bigr)^{3/2}}

by (2δ)3/2(2\delta)^{-3/2}, both integrable on the compact [π,π]\intcc{-\pi}\pi: differentiation under the integral (Theorem 10.15) applies and gives τ(E0)<0\tau'(E_0) < 0 (the integrand is strictly negative): strictly decreasing, C1\mathcal C^1. Limits: as E0E_0 \to \infty, τ2π2(E01)0\tau \leq \frac{2\pi}{\sqrt{2(E_0 - 1)}} \to 0; as E01+E_0 \to 1^+: write E0+cosx=(E01)+2cos2x2E_0 + \cos x = (E_0 - 1) + 2\cos^2\frac x2; the integrand increases as E0E_0 decreases, so by monotone convergence

τ(E0)    ππ ⁣dx2cosx2=+,\tau(E_0) \;\nearrow\; \int_{-\pi}^{\pi}\frac{\dd x}{2\,\abs{\cos\frac x2}} = +\infty,

the limit integral diverging at x=±πx = \pm\pi (there cosx2xπ2\abs{\cos\frac x2} \sim \frac{\abs{x \mp \pi}}2, a non-integrable 1\frac1{\abs\cdot}): the period blows up approaching the separatrix, matching Part II’s T(a)T(a) \to \infty from the libration side. The energy axis reads: rest at E0=1E_0 = -1; librations, 2π2\pi \nearrow \infty, on (1,1)\intoo{-1}1; the infinitely slow separatrix at E0=1E_0 = 1; rotations, 0\infty \searrow 0, beyond. One integral, the entire life of the pendulum.