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Question 11891: A Nondegenerate-Interval Quadratic Jensen-Gap Certificate

On this page
  1. Original question and givens
  2. Definition and scope
  3. Step-by-step derivation
  4. Reverse checks
  5. Result
  6. This question review and source binding

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R0022-11891 · q-20261013-advance-20261025-r02-convex-function-0066

Original question and givens

Use the one-variable quadratic f(t)=a*t²+b*t+c with coefficients [a,b,c]=[-1, 3, -2], not ascending-power order. The declared interval [lower,upper]=[-17, 18] belongs to the function data. Give (coefficients,interval,lower<upper?,leading coefficient,rhs-lhs=a*lambda*(1-lambda)*(x-y)^2,qualified convex certificate?). This family requires a nondegenerate interval and a≥0. A No for a singleton or reversed interval means this certificate is unqualified, not that the function on a singleton is nonconvex. A positive convexity certificate must cover all endpoint pairs in the convex domain and every lambda in [0,1]. One Jensen violation can refute convexity, but one successful instance cannot prove it.

  • G001 — Use the one-variable quadratic f(t)=a*t²+b*t+c with coefficients [a,b,c]=[-1, 3, -2], not ascending-power order. The declared interval [lower,upper]=[-17, 18] belongs to the function data. Give (coefficients,interval,lower<upper?,leading coefficient,rhs-lhs=a*lambda*(1-lambda)*(x-y)^2,qualified convex certificate?). This family requires a nondegenerate interval and a≥0. A No for a singleton or reversed interval means this certificate is unqualified, not that the function on a singleton is nonconvex. A positive convexity certificate must cover all endpoint pairs in the convex domain and every lambda in [0,1]. One Jensen violation can refute convexity, but one successful instance cannot prove it.

Definition and scope

Use the original question domain, assumptions and cited MKO definitions. This item has second-context mathematical and bilingual review, with the model, answer and every arithmetic step independently recomputed from the original parameters; the source question remains a candidate.

Step-by-step derivation

S001 · implies

Before

declared interval record=[-17, 18]

After

ordered_nonempty=Yes;nondegenerate=Yes

Conditions: none

This nonempty-interval protocol uses lower≤upper;the nondegenerate certificate additionally needs lower<upper.A reversed record is unqualified,not a declaration that the abstract empty set is nonconvex.A singleton interval is convex.

Step identifiers and dependencies

Rule: interval_certificate_qualification_not_empty_set_nonconvexity · Uses: G001

S002 · implies

Before

arbitrary x,y in [-17,18];0<=lambda<=1;z=lambda*x+(1-lambda)*y

After

z--17=lambda*(x--17)+(1-lambda)*(y--17)>=0;18-z=lambda*(18-x)+(1-lambda)*(18-y)>=0

Conditions: none

Both slacks are nonnegative sums,hence lower≤z≤upper for every endpoint pair and every permitted lambda.No sampling is used;endpoints and singleton cases are included.

Step identifiers and dependencies

Rule: interval_all_segments_slack_identity · Uses: G001, S001

S003 · implies

Before

univariate quadratic coefficients=[-1, 3, -2];order=[a,b,c]

After

f(t)=(-1)*t^2+(3)*t+(-2)

Conditions: none

These are quadratic,linear,constant coefficients in descending order,not the constant-first boundary-polynomial order.Retain zero leading coefficients.

Step identifiers and dependencies

Rule: quadratic_descending_coefficient_order · Uses: G001, S002

S004 · implies

Before

f(t)=(-1)*t^2+(3)*t+(-2);z=lambda*x+(1-lambda)*y

After

rhs-lhs=(-1)*(lambda*x^2+(1-lambda)*y^2-(lambda*x+(1-lambda)*y)^2)

Conditions: none

Expand both Jensen sides.The unit weight sum cancels the linear and constant terms exactly,leaving only the quadratic part.

Step identifiers and dependencies

Rule: jensen_linear_and_constant_terms_cancel · Uses: G001, S003

S005 · implies

Before

lambda*x^2+(1-lambda)*y^2-(lambda*x+(1-lambda)*y)^2

After

lambda*(1-lambda)*(x-y)^2;full gap=(-1)*lambda*(1-lambda)*(x-y)^2

Conditions: none

Expand the square and collect x²,xy,y².The coefficients are lambda(1−lambda),−2lambda(1−lambda),lambda(1−lambda),yielding the(x−y)^2 factor for all real endpoints.

Step identifiers and dependencies

Rule: jensen_gap_full_symbolic_factorization · Uses: G001, S004

S006 · calculation

Before

negative quadratic endpoint difference := sub(-17, 18)

After

negative quadratic endpoint difference = -35

Conditions: none

Compute exactly from this step's original roles and established intermediates,retaining signs,denominators and coefficient order.

Step identifiers and dependencies

Rule: exact_rational_arithmetic · Uses: G001, S005

S007 · calculation

Before

negative quadratic endpoint square := mul(-35, -35)

After

negative quadratic endpoint square = 1225

Conditions: none

Compute exactly from this step's original roles and established intermediates,retaining signs,denominators and coefficient order.

Step identifiers and dependencies

Rule: exact_rational_arithmetic · Uses: G001, S006

S008 · calculation

Before

negative quadratic weighted square := mul(-1, 1225)

After

negative quadratic weighted square = -1225

Conditions: none

Compute exactly from this step's original roles and established intermediates,retaining signs,denominators and coefficient order.

Step identifiers and dependencies

Rule: exact_rational_arithmetic · Uses: G001, S007

S009 · calculation

Before

negative quadratic midpoint Jensen gap := div(-1225, 4)

After

negative quadratic midpoint Jensen gap = -1225/4

Conditions: none

Compute exactly from this step's original roles and established intermediates,retaining signs,denominators and coefficient order.

Step identifiers and dependencies

Rule: exact_rational_arithmetic · Uses: G001, S008

S010 · implies

Before

x=-17;y=18;lambda=1/2;gap=-1225/4

After

negative Jensen gap refutes convexity on this nondegenerate interval

Conditions: none

A nondegenerate interval supplies distinct endpoints.The midpoint weight gives a strictly negative gap:an exact counterexample,not just a coefficient mnemonic.

Step identifiers and dependencies

Rule: negative_leading_coefficient_actual_counterexample · Uses: G001, S009

S011 · implies

Before

interval=[-17, 18];nondegenerate=Yes;leading=-1

After

qualified universal quadratic certificate=No

Conditions: none

If a≥0,the nonnegative weight product and square make every Jensen gap nonnegative.This certificate separately requires a nondegenerate interval.No for a singleton or reversed record does not classify a singleton function as nonconvex.

Step identifiers and dependencies

Rule: quadratic_global_sign_and_nondegenerate_guard · Uses: G001, S010

Reverse checks

  • S011 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
  • S010 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
  • S009 · premise_and_result_audit — Recompute negative quadratic midpoint Jensen gap with exact rational arithmetic, not rounded decimals.
  • S008 · premise_and_result_audit — Recompute negative quadratic weighted square with exact rational arithmetic, not rounded decimals.
  • S007 · premise_and_result_audit — Recompute negative quadratic endpoint square with exact rational arithmetic, not rounded decimals.
  • S006 · premise_and_result_audit — Recompute negative quadratic endpoint difference with exact rational arithmetic, not rounded decimals.
  • S005 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
  • S004 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
  • S003 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
  • S002 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
  • S001 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.

Result

([-1, 3, -2], [-17, 18], Yes, -1, rhs-lhs=a*lambda*(1-lambda)*(x-y)^2, No)

The full substitutions and premise checks give the original answer; source identity,format and status are unchanged.

This question review and source binding

Review date: 2026-10-26

Original questions, answers, step expressions, numeric ASTs and historical records are retained. Source candidate labels remain historical and are not overwritten as formal proof.

Source hashes and review receipts
  • input commit: 0f7be61e2c22317a4075561dc822c87d881a50db
  • original question SHA-256: 1056b428d068f7efb78cf753a18c83dd1b4d681047d6545ef6c1ae7fd48981e6
  • candidate record SHA-256: c8ea019f74a06ba57555cb2bc588289e8accdb79811e5400db53939b60eef09a
  • semantic review receipt SHA-256: 94ec4350cf8b5e5c6c7701d536126eef20acb3a213e873ace4f5346d256b8fac
  • question-first witness SHA-256: 0beba165ffd367a7c96de3aa58344d572d01434cd2ef772fbb00342c1f50b01b
  • Lean: NOT_RUN · human review: NOT_PERFORMED
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