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Past exam of the calculus of variations course of the University of Oxford 2011 2 a Solution by
Codex 0 2026-10-31
The variational terminology refers to the size of a neighborhood, rather than weak versus strong convergence in a Banach space. The definitions in the two numbered children giveThe second implication holds because smallness in implies smallness in the uniform norm. Reverse implications need not hold.
For differentiable in its slope variable, define the Weierstrass excess functionThe strengthened Weierstrass condition means that some givesIt requires support at nearby heights and nearby reference slopes, while the trial slope is arbitrary. Requiring this only exactly on the curve is the unstrengthened necessary condition.
A standard Weierstrass sufficient condition assumes the usual smoothness of , , the weak Euler-Lagrange equation, a coercively positive second variation, and the strengthened condition above. Explicitly, for some ,for zero-endpoint variations. Then is a strong local minimizer. If the excess is strictly positive for throughout the tube, the strong minimum is strict. The second-variation hypothesis supplies a neighboring field of extremals. Its slope gives the comparison identityfor uniformly close admissible . This explains how the condition controls competitors with large derivatives.
Past exam of the calculus of variations course of the University of Oxford 2011 1 a Solution by
Codex 0 2026-10-31
For the supporting inequality, assume first that is convex and fix . For ,Subtract , divide by and let . Differentiability givesConversely assume this inequality for every pair. Put and apply it with base point to both and . Multiply those two inequalities by and and add. The gradient terms cancel, proving . Thus the supporting inequality characterizes a differentiable convex function.
For the integral inequality let . Apply the supporting inequality at to and integrate. Its affine term has integral , yieldingThis is Jensen's inequality. Since is integrable, the supporting affine lower bound has integrable negative part, so the right side is well-defined as an extended real integral. If its positive part is infinite, the inequality remains valid.
Past exam of the calculus of variations course of the University of Oxford 2010 3 b Solution by
Codex 0 2026-10-31
Use the direct method in the calculus of variations. The affine function is admissible with finite energy, and the energy is nonnegative since is even. Thus is finite. Choose a minimizing sequence with uniformly bounded energy. ThenThe fixed value and the Cauchy-Schwarz inequality give and . Hence the sequence is bounded in and uniformly bounded and equicontinuous.
By reflexivity and the Arzelà-Ascoli theorem, pass to a subsequence with in and uniformly. The two limits coincide; uniform convergence also preserves , . Since all functions stay in a common bounded interval, uniform convergence gives uniformly, and therefore convergence of the potential integrals. The derivative term is lower semicontinuous for weak convergence, soAdmissibility gives . Thus
Past exam of the calculus of variations course of the University of Oxford 2010 2 a Solution by
Codex 0 2026-10-31
For a fixed-endpoint variation , the second variation iswhere all coefficients are evaluated at . The notation means this is strictly positive for every nonzero admissible variation. This is pointwise positive definiteness of the quadratic form, not an assertion of a prescribed uniform lower bound.
PutAfter integration by parts, the form is . Its Jacobi equation isIn the regular case on , a conjugate point to is a point for which a nonzero solution satisfies . Equivalently it is a zero of the normalized solution with , .
Under this regular Strengthened Legendre condition, the Jacobi positivity criterion isThe endpoint must be excluded as a conjugate point too. To prove necessity, suppose a Jacobi solution vanishes at and . Define on and zero on . It is a nonzero Lipschitz admissible variation, anda contradiction. For completeness, the converse follows from the Jacobi identity for the second variation: when the normalized has no further zero,The boundary contribution vanishes, including the limit at since has a simple zero and . Equality forces , and with forces .
Independently of regularity, positivity necessarily implies the ordinary Legendre necessary condition . If on an interval, localized rapidly oscillating test functions have a negative derivative contribution of order frequency squared, dominating the bounded zero-order term. This contradicts positivity.
The assumptions stated here do not themselves impose . That strengthened condition is a regularity hypothesis for the familiar Jacobi criterion, and is not necessary for strict positivity: the integrand gives with . For a criterion covering the full possibly degenerate class, use Regularized Jacobi criterion for a degenerate second variation. The following conditions are necessary and sufficient:
- ;
- for every , the regular equation has no conjugate point to in ;
- the original weak Jacobi boundary problem has no nonzero Lipschitz solution with zero endpoint values.
These conditions are necessary because gives , so the regular criterion just proved applies; a weak Jacobi solution tested against itself would give . They are sufficient as well: the regular criterion gives for every , hence by letting . If , nonnegativity of for every real forces its mixed bilinear term to vanish for every test . This is precisely the weak Jacobi equation. The third condition then forces . Thus the criterion treats degeneracy without silently assuming the strengthened condition.
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