Question 32865: Both Values in a Matrix Scalar Identity

Original question and givens

Over R, the 2×2 matrix is M=[[2, 3], [-2, 15]]. In the fixed standard basis, T:R²→R² is T(x)=Mx, with column vectors. For u=[2, 15] and c=5, compute T(cu) and cT(u). Answer as left vector = right vector.

• G001 — Over R, the 2×2 matrix is M=[[2, 3], [-2, 15]]. In the fixed standard basis, T:R²→R² is T(x)=Mx, with column vectors. For u=[2, 15] and c=5, compute T(cu) and cT(u). Answer as left vector = right vector.

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-linear-transformation

Step-by-step derivation

source roles = [qf-linear-map-homogeneity-values, homogeneity_values, reals, []]

derived = [[VECTOR_EQUALS_VECTOR_STRING]]

Homogeneity ORIGINAL c times u ORIGINAL component0 := mul(5, 2)

Homogeneity ORIGINAL c times u ORIGINAL component0 = 10

Homogeneity ORIGINAL c times u ORIGINAL component1 := mul(5, 15)

Homogeneity ORIGINAL c times u ORIGINAL component1 = 75

Homogeneity LEFT M of scaled input ORIGINAL row0 column0 product := mul(2, 10)

Homogeneity LEFT M of scaled input ORIGINAL row0 column0 product = 20

Homogeneity LEFT M of scaled input ORIGINAL row0 column1 product := mul(3, 75)

Homogeneity LEFT M of scaled input ORIGINAL row0 column1 product = 225

Homogeneity LEFT M of scaled input ORIGINAL row0 two products sum := sum(20, 225)

Homogeneity LEFT M of scaled input ORIGINAL row0 two products sum = 245

source roles = [Homogeneity LEFT M of scaled input, 0, [2, 3], [10, 75]]

derived = [[20, 225], 245]

Homogeneity LEFT M of scaled input ORIGINAL row1 column0 product := mul(-2, 10)

Homogeneity LEFT M of scaled input ORIGINAL row1 column0 product = -20

Homogeneity LEFT M of scaled input ORIGINAL row1 column1 product := mul(15, 75)

Homogeneity LEFT M of scaled input ORIGINAL row1 column1 product = 1125

Homogeneity LEFT M of scaled input ORIGINAL row1 two products sum := sum(-20, 1125)

Homogeneity LEFT M of scaled input ORIGINAL row1 two products sum = 1105

source roles = [Homogeneity LEFT M of scaled input, 1, [-2, 15], [10, 75]]

derived = [[-20, 1125], 1105]

Homogeneity RIGHT M of u ORIGINAL row0 column0 product := mul(2, 2)

Homogeneity RIGHT M of u ORIGINAL row0 column0 product = 4

Homogeneity RIGHT M of u ORIGINAL row0 column1 product := mul(3, 15)

Homogeneity RIGHT M of u ORIGINAL row0 column1 product = 45

Homogeneity RIGHT M of u ORIGINAL row0 two products sum := sum(4, 45)

Homogeneity RIGHT M of u ORIGINAL row0 two products sum = 49

source roles = [Homogeneity RIGHT M of u, 0, [2, 3], [2, 15]]

derived = [[4, 45], 49]

Homogeneity RIGHT M of u ORIGINAL row1 column0 product := mul(-2, 2)

Homogeneity RIGHT M of u ORIGINAL row1 column0 product = -4

Homogeneity RIGHT M of u ORIGINAL row1 column1 product := mul(15, 15)

Homogeneity RIGHT M of u ORIGINAL row1 column1 product = 225

Homogeneity RIGHT M of u ORIGINAL row1 two products sum := sum(-4, 225)

Homogeneity RIGHT M of u ORIGINAL row1 two products sum = 221

source roles = [Homogeneity RIGHT M of u, 1, [-2, 15], [2, 15]]

derived = [[-4, 225], 221]

Homogeneity RIGHT c times image ORIGINAL component0 := mul(5, 49)

Homogeneity RIGHT c times image ORIGINAL component0 = 245

Homogeneity RIGHT c times image ORIGINAL component1 := mul(5, 221)

Homogeneity RIGHT c times image ORIGINAL component1 = 1105

source roles = [homogeneity_values, [[2, 3], [-2, 15]], [2, 15], 5]

derived = [[245, 1105], [245, 1105], [245, 1105] = [245, 1105]]

Reverse checks

• S022 · premise_and_result_audit — Reverse-check ORIGINAL data,field roles,types,domain and premises;the conclusion need not uniquely recover its premises.Keep source-bound candidates,independent review,formal proof and publication separate.
• S021 · premise_and_result_audit — Recompute Homogeneity RIGHT c times image ORIGINAL component1 with exact rational arithmetic, not rounded decimals.
• S020 · premise_and_result_audit — Recompute Homogeneity RIGHT c times image ORIGINAL component0 with exact rational arithmetic, not rounded decimals.
• S019 · premise_and_result_audit — Reverse-check ORIGINAL data,field roles,types,domain and premises;the conclusion need not uniquely recover its premises.Keep source-bound candidates,independent review,formal proof and publication separate.
• S018 · premise_and_result_audit — Recompute Homogeneity RIGHT M of u ORIGINAL row1 two products sum with exact rational arithmetic, not rounded decimals.
• S017 · premise_and_result_audit — Recompute Homogeneity RIGHT M of u ORIGINAL row1 column1 product with exact rational arithmetic, not rounded decimals.
• S016 · premise_and_result_audit — Recompute Homogeneity RIGHT M of u ORIGINAL row1 column0 product with exact rational arithmetic, not rounded decimals.
• S015 · premise_and_result_audit — Reverse-check ORIGINAL data,field roles,types,domain and premises;the conclusion need not uniquely recover its premises.Keep source-bound candidates,independent review,formal proof and publication separate.
• S014 · premise_and_result_audit — Recompute Homogeneity RIGHT M of u ORIGINAL row0 two products sum with exact rational arithmetic, not rounded decimals.
• S013 · premise_and_result_audit — Recompute Homogeneity RIGHT M of u ORIGINAL row0 column1 product with exact rational arithmetic, not rounded decimals.
• S012 · premise_and_result_audit — Recompute Homogeneity RIGHT M of u ORIGINAL row0 column0 product with exact rational arithmetic, not rounded decimals.
• S011 · premise_and_result_audit — Reverse-check ORIGINAL data,field roles,types,domain and premises;the conclusion need not uniquely recover its premises.Keep source-bound candidates,independent review,formal proof and publication separate.
• S010 · premise_and_result_audit — Recompute Homogeneity LEFT M of scaled input ORIGINAL row1 two products sum with exact rational arithmetic, not rounded decimals.
• S009 · premise_and_result_audit — Recompute Homogeneity LEFT M of scaled input ORIGINAL row1 column1 product with exact rational arithmetic, not rounded decimals.
• S008 · premise_and_result_audit — Recompute Homogeneity LEFT M of scaled input ORIGINAL row1 column0 product with exact rational arithmetic, not rounded decimals.
• S007 · premise_and_result_audit — Reverse-check ORIGINAL data,field roles,types,domain and premises;the conclusion need not uniquely recover its premises.Keep source-bound candidates,independent review,formal proof and publication separate.
• S006 · premise_and_result_audit — Recompute Homogeneity LEFT M of scaled input ORIGINAL row0 two products sum with exact rational arithmetic, not rounded decimals.
• S005 · premise_and_result_audit — Recompute Homogeneity LEFT M of scaled input ORIGINAL row0 column1 product with exact rational arithmetic, not rounded decimals.
• S004 · premise_and_result_audit — Recompute Homogeneity LEFT M of scaled input ORIGINAL row0 column0 product with exact rational arithmetic, not rounded decimals.
• S003 · premise_and_result_audit — Recompute Homogeneity ORIGINAL c times u ORIGINAL component1 with exact rational arithmetic, not rounded decimals.
• S002 · premise_and_result_audit — Recompute Homogeneity ORIGINAL c times u ORIGINAL component0 with exact rational arithmetic, not rounded decimals.
• S001 · premise_and_result_audit — Reverse-check ORIGINAL data,field roles,types,domain and premises;the conclusion need not uniquely recover its premises.Keep source-bound candidates,independent review,formal proof and publication separate.

Result

[245, 1105] = [245, 1105]

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.