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Positive-measure attraction to a degenerate saddle

PDF p. 3: Footnote 3

Example

Let U:R2→R be U(x,y)=x3+y3. Its negative-gradient flow is the system x˙=−∂xU, y˙=−∂yU; a trajectory means a differentiable solution on an open interval containing 0 that admits no extension as a solution to a larger such interval. The origin is a degenerate saddle: it is a critical point, its Hessian is the zero matrix, and every neighborhood of it contains points where U is greater than U(0,0) and points where U is less. Every trajectory starting in the positive quadrant (0,∞)2 exists for all forward time and converges to (0,0). Assuming countable choice, the set of such initial points contains a Lebesgue-measurable box of positive measure.

Facts & Assumptions

Given: The function U and its negative-gradient system in the example. Countable choice is assumed for the measure assertion.

Goal: Verify the saddle properties, forward convergence, and the positive-measure assertion.

[F1]

A critical point has zero gradient, and the Hessian is the matrix of second partial derivatives (The Hessian matrix and critical points of a scalar field).

[F2]

The power, sum, and product rules give the indicated derivatives of polynomials (Sum, product, quotient, and chain rules from difference quotients).

[F3]

For u˙=−au2 with a>0 and u(0)=u0>0, the unique maximal solution is u(t)=u0/(1+au0t) on (−1/(au0),∞). Finitely many independent such coordinates give forward solutions converging to zero. Assuming countable choice, their attraction region contains the positive-measure box (0,1)n (Explicit scalar quadratic descent and its forward domain, The Axiom of Countable Choice (AC_ω)).

[F4]

Assuming countable choice, for n≥1 and real endpoints ai≤bi, an open box ∏i<n(ai,bi) is Lebesgue measurable with measure ∏i<n(bi−ai) (A box in ℝⁿ with parameters aᵢ≤ bᵢ is Lebesgue measurable of measure ∏_i<n(bᵢ-aᵢ), whichever of its faces are included, The Axiom of Countable Choice (AC_ω)).

[F5]

For an open set D⊆R×Rn and a map F:D→Rn, a solution with initial data (0,z0)∈D is a differentiable map z:I→Rn on an interval containing 0, satisfying (t,z(t))∈D, z(0)=z0, and z′(t)=F(t,z(t)) for every t∈I. Here take n=2, D=R×R2, z=(x,y), and F(t,z)=(−∂xU(x,y),−∂yU(x,y)); this system equation means that both coordinate equations hold (First-order systems, initial value problems, and solutions on intervals).

Verification

technique · direct
1.1F1F2algebra

By the polynomial derivative rules, ∇U(x,y)=(3x2,3y2) and ∇2U(x,y)=(6x006y). Thus the origin is critical and its Hessian is zero. For every ε>0, the points (t,0) and (−t,0) with 0<t<ε are within ε of the origin, while their respective values are t3>0 and −t3<0. This proves the stated saddle property.

2.1givenF3F5step 1.1

The negative-gradient equations are x˙=−3x2 and y˙=−3y2. For initial data (x0,y0)∈(0,∞)2, [F3] gives x(t)=x0/(1+3x0t) and y(t)=y0/(1+3y0t). The intersection of their maximal intervals is I=(max⁡{−1/(3x0),−1/(3y0)},∞). The pair of formulas is a solution on I by [F5]; scalar uniqueness makes any solution with these initial data agree with the formulas wherever both are defined. The coordinate whose pole is the left endpoint of I cannot extend across that endpoint, by scalar maximality. Hence the pair is the unique maximal trajectory. Its domain contains every t≥0, and each coordinate tends to zero as t→∞.

3.1givenF4step 2.1algebra∎

By step 2.1 every initial point of (0,1)2 has a trajectory converging to the origin. Under countable choice, [F4] with n=2 and endpoints a0=a1=0, b0=b1=1 makes this box Lebesgue measurable with measure (1−0)(1−0)=1>0. This proves the positive-measure assertion.

Source notes

The example is attributed to the article's footnote 3. Its verification above uses the stated mathematical suppliers and direct calculation.

Depends on

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