Question 32881: Vector Image under a 2×2 Matrix

Original question and givens

Over R, the 2×2 matrix is M=[[-7, 2], [-2, 6]]. In the fixed standard basis, T:R²→R² is T(x)=Mx, with column vectors. For v=[-5, 1], find T(v).

• G001 — Over R, the 2×2 matrix is M=[[-7, 2], [-2, 6]]. In the fixed standard basis, T:R²→R² is T(x)=Mx, with column vectors. For v=[-5, 1], find T(v).

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-image, linear_image, reals, []]

derived = [[VECTOR_STRING]]

Image M times ORIGINAL v ORIGINAL row0 column0 product := mul(-7, -5)

Image M times ORIGINAL v ORIGINAL row0 column0 product = 35

Image M times ORIGINAL v ORIGINAL row0 column1 product := mul(2, 1)

Image M times ORIGINAL v ORIGINAL row0 column1 product = 2

Image M times ORIGINAL v ORIGINAL row0 two products sum := sum(35, 2)

Image M times ORIGINAL v ORIGINAL row0 two products sum = 37

source roles = [Image M times ORIGINAL v, 0, [-7, 2], [-5, 1]]

derived = [[35, 2], 37]

Image M times ORIGINAL v ORIGINAL row1 column0 product := mul(-2, -5)

Image M times ORIGINAL v ORIGINAL row1 column0 product = 10

Image M times ORIGINAL v ORIGINAL row1 column1 product := mul(6, 1)

Image M times ORIGINAL v ORIGINAL row1 column1 product = 6

Image M times ORIGINAL v ORIGINAL row1 two products sum := sum(10, 6)

Image M times ORIGINAL v ORIGINAL row1 two products sum = 16

source roles = [Image M times ORIGINAL v, 1, [-2, 6], [-5, 1]]

derived = [[10, 6], 16]

Reverse checks

• S009 · 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.
• S008 · premise_and_result_audit — Recompute Image M times ORIGINAL v ORIGINAL row1 two products sum with exact rational arithmetic, not rounded decimals.
• S007 · premise_and_result_audit — Recompute Image M times ORIGINAL v ORIGINAL row1 column1 product with exact rational arithmetic, not rounded decimals.
• S006 · premise_and_result_audit — Recompute Image M times ORIGINAL v ORIGINAL row1 column0 product with exact rational arithmetic, not rounded decimals.
• S005 · 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.
• S004 · premise_and_result_audit — Recompute Image M times ORIGINAL v ORIGINAL row0 two products sum with exact rational arithmetic, not rounded decimals.
• S003 · premise_and_result_audit — Recompute Image M times ORIGINAL v ORIGINAL row0 column1 product with exact rational arithmetic, not rounded decimals.
• S002 · premise_and_result_audit — Recompute Image M times ORIGINAL v ORIGINAL row0 column0 product 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

[37, 16]

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.