# Question 13910: One Passing Vector Does Not Certify a Uniform Bound

[Return to catalogue page 70](https://ocme.evemisslab.com/en/questions/page/70/)

[← Question derivation index](https://ocme.evemisslab.com/en/questions/) · [Original question batch](https://ocme.evemisslab.com/en/practice/batch-20261014-advance-20261028-r05-bounded-linear-operator-foundations/#q-20261014-advance-20261028-r05-bounded-linear-operator-0060)

This teaching derivation has second-context AI mathematical and bilingual semantic review, limited to the model and assumptions stated in this question. It has no human review or new Lean proof and does not promote the original question or MKO to Canonical truth.

R0026-13910 · q-20261014-advance-20261028-r05-bounded-linear-operator-0060



## Original question and givens

Use the explicit rectangular integer matrix A=[[-3, -1, 0], [2, 3, 0]] as a linear map between its column- and row-coordinate real spaces. Both ends use the same stated l1 or linfinity norm. A single C≥0 must bound every input: norm(A*x)≤C*norm(x). The exact l1 induced norm is the maximum absolute column sum; the exact linfinity induced norm is the maximum absolute row sum. An instance pass or a nonoptimal usable bound is not the exact operator norm. norm_name=linfinity, vector=[-4, 2, -1], proposed C=5. Give (norm_name,vector,image,input_norm,output_norm,C,rhs=C*input_norm,pass?,instance_only).


- G001 — Use the explicit rectangular integer matrix A=[[-3, -1, 0], [2, 3, 0]] as a linear map between its column- and row-coordinate real spaces. Both ends use the same stated l1 or linfinity norm. A single C≥0 must bound every input: norm(A*x)≤C*norm(x). The exact l1 induced norm is the maximum absolute column sum; the exact linfinity induced norm is the maximum absolute row sum. An instance pass or a nonoptimal usable bound is not the exact operator norm. norm_name=linfinity, vector=[-4, 2, -1], proposed C=5. Give (norm_name,vector,image,input_norm,output_norm,C,rhs=C*input_norm,pass?,instance_only).





## 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.


- [mko-bounded-linear-operator](https://ocme.evemisslab.com/en/mko/mko-bounded-linear-operator/)





## Step-by-step derivation

S001 · impliesBefore

provided input image:matrix=[[-3, -1, 0], [2, 3, 0]];input=[-4, 2, -1]

After

input dimension=3;output dimension=2;rows dot input

Conditions: none

Retain column-input/row-output roles for rectangular matrices.Computed values can exceed raw input bounds and are not clipped.

Step identifiers and dependenciesRule: matrix_row_column_roles · Uses: G001





S002 · calculationBefore

provided input image row0 column0 product := mul(-3, -4)

After

provided input image row0 column0 product = 12

Conditions: none

Compute exactly from original roles and established intermediates,retaining coordinates,coefficients,signs and necessary guards.

Step identifiers and dependenciesRule: exact_rational_arithmetic · Uses: G001, S001





S003 · calculationBefore

provided input image row0 column1 product := mul(-1, 2)

After

provided input image row0 column1 product = -2

Conditions: none

Compute exactly from original roles and established intermediates,retaining coordinates,coefficients,signs and necessary guards.

Step identifiers and dependenciesRule: exact_rational_arithmetic · Uses: G001, S002





S004 · calculationBefore

provided input image row0 column2 product := mul(0, -1)

After

provided input image row0 column2 product = 0

Conditions: none

Compute exactly from original roles and established intermediates,retaining coordinates,coefficients,signs and necessary guards.

Step identifiers and dependenciesRule: exact_rational_arithmetic · Uses: G001, S003





S005 · calculationBefore

provided input image row0 sum := sum(12, -2, 0)

After

provided input image row0 sum = 10

Conditions: none

Compute exactly from original roles and established intermediates,retaining coordinates,coefficients,signs and necessary guards.

Step identifiers and dependenciesRule: exact_rational_arithmetic · Uses: G001, S004





S006 · calculationBefore

provided input image row1 column0 product := mul(2, -4)

After

provided input image row1 column0 product = -8

Conditions: none

Compute exactly from original roles and established intermediates,retaining coordinates,coefficients,signs and necessary guards.

Step identifiers and dependenciesRule: exact_rational_arithmetic · Uses: G001, S005





S007 · calculationBefore

provided input image row1 column1 product := mul(3, 2)

After

provided input image row1 column1 product = 6

Conditions: none

Compute exactly from original roles and established intermediates,retaining coordinates,coefficients,signs and necessary guards.

Step identifiers and dependenciesRule: exact_rational_arithmetic · Uses: G001, S006





S008 · calculationBefore

provided input image row1 column2 product := mul(0, -1)

After

provided input image row1 column2 product = 0

Conditions: none

Compute exactly from original roles and established intermediates,retaining coordinates,coefficients,signs and necessary guards.

Step identifiers and dependenciesRule: exact_rational_arithmetic · Uses: G001, S007





S009 · calculationBefore

provided input image row1 sum := sum(-8, 6, 0)

After

provided input image row1 sum = -2

Conditions: none

Compute exactly from original roles and established intermediates,retaining coordinates,coefficients,signs and necessary guards.

Step identifiers and dependenciesRule: exact_rational_arithmetic · Uses: G001, S008





S010 · impliesBefore

provided input:signed vector=[-4, 2, -1];norm=linfinity

After

coordinate absolute values=[4, 2, 1]

Conditions: none

Take absolute values of whole coordinates without changing their pairing.This also accepts computed matrix images without clipping to raw input bounds.

Step identifiers and dependenciesRule: operator_named_norm_original_signs · Uses: G001, S009





S011 · impliesBefore

provided input:all absolute coordinates=[4, 2, 1]

After

maximum=4;first attaining coordinate=0

Conditions: none

The finite nonempty maximum must bound every value and be attained,not be the largest signed coordinate.

Step identifiers and dependenciesRule: operator_linfinity_full_maximum · Uses: G001, S010





S012 · impliesBefore

provided output:signed vector=[10, -2];norm=linfinity

After

coordinate absolute values=[10, 2]

Conditions: none

Take absolute values of whole coordinates without changing their pairing.This also accepts computed matrix images without clipping to raw input bounds.

Step identifiers and dependenciesRule: operator_named_norm_original_signs · Uses: G001, S011





S013 · impliesBefore

provided output:all absolute coordinates=[10, 2]

After

maximum=10;first attaining coordinate=0

Conditions: none

The finite nonempty maximum must bound every value and be attained,not be the largest signed coordinate.

Step identifiers and dependenciesRule: operator_linfinity_full_maximum · Uses: G001, S012





S014 · calculationBefore

proposed C times input norm := mul(5, 4)

After

proposed C times input norm = 20

Conditions: none

Compute exactly from original roles and established intermediates,retaining coordinates,coefficients,signs and necessary guards.

Step identifiers and dependenciesRule: exact_rational_arithmetic · Uses: G001, S013





S015 · impliesBefore

provided input=[-4, 2, -1];output norm=10;C=5;input norm=4;rhs=20

After

this instance passes=Yes;instance_only

Conditions: none

Compare only this input.A zero input can pass even for a nonzero matrix with C=0;that is not a bound for every vector or an exact norm.

Step identifiers and dependenciesRule: operator_single_input_not_uniform_exact_norm · Uses: G001, S014









## Reverse checks


- S015 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
- S014 · premise_and_result_audit — Recompute proposed C times input norm with exact rational arithmetic, not rounded decimals.
- S013 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
- S012 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
- 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 provided input image row1 sum with exact rational arithmetic, not rounded decimals.
- S008 · premise_and_result_audit — Recompute provided input image row1 column2 product with exact rational arithmetic, not rounded decimals.
- S007 · premise_and_result_audit — Recompute provided input image row1 column1 product with exact rational arithmetic, not rounded decimals.
- S006 · premise_and_result_audit — Recompute provided input image row1 column0 product with exact rational arithmetic, not rounded decimals.
- S005 · premise_and_result_audit — Recompute provided input image row0 sum with exact rational arithmetic, not rounded decimals.
- S004 · premise_and_result_audit — Recompute provided input image row0 column2 product with exact rational arithmetic, not rounded decimals.
- S003 · premise_and_result_audit — Recompute provided input image row0 column1 product with exact rational arithmetic, not rounded decimals.
- S002 · premise_and_result_audit — Recompute provided input image row0 column0 product with exact rational arithmetic, not rounded decimals.
- S001 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.





## Result

(linfinity, [-4, 2, -1], [10, -2], 4, 10, 5, 20, Yes, instance_only)

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: 5a91c4eb12ded91d9c5a164ea06f8895d236cc8d965ff22495e0e8350cd0348d
- candidate record SHA-256: 7ae63d4da87f4981eb5a51a5efe16692f162105efd05d09fc0eb3d631b2f54e4
- semantic review receipt SHA-256: f335caca08574c9f949c141083c66655fee51c227d45d80a3ddb7d78f862d798
- question-first witness SHA-256: cc7ba54738af91a6871fc1c20e45ad8f2b434392273fa334bd16a3b2238f4a77
- Lean: NOT_RUN · human review: NOT_PERFORMED

[Same-source full JSON](https://ocme.evemisslab.com/data/question-derivations/questions/q-20261014-advance-20261028-r05-bounded-linear-operator-0060.json)




