Miscellaneous · Q11 (MCQ): when
If A is square matrix such that , then is equal to
(A) A
(B)
(C) I
(D) 3A
.
Answer: (C) I
Want the reason behind every step, the basics and the checks?
Matrix products usually depend on order, but I commutes with everything: . So can be multiplied out like an ordinary binomial. Then the condition collapses every power of A back to A (). Expanding gives , and subtracting leaves I.
- Given
- A is an matrix with ; I is the identity.
- To find
- , and the matching option.
- Plan
- (1) Expand with the distributive law, then use . (2) Multiply by once more. (3) Subtract . (4) Check with an actual matrix. (5) Examine every option.
Basics you need
For square A of order , , and . Basics: identity and undo
and . The order inside each product must be kept. Lesson: properties of the operations
, ; these are defined because A is square. Basics: pair up, multiply, add
, , and a scalar can be moved through a product: . Lesson: addition and scalar multiplication
Solution
Expand
A and I are both , so is and every product below is defined. By the distributive law (twice),
Now use :
For general matrices X and Y, , and and can differ, so the familiar "" is not allowed in general. Here one of the two is I, and , so the middle terms are both A and combine to .Distributive law and multiplicative identity, Section 3.4.6. Lesson: properties of the operationsMultiply by once more
So
The fourth line uses (a scalar factor comes out of a product), and then turns into . Writing is allowed by associativity.Associative and distributive laws, Section 3.4.6. Lesson: properties of the operationsSubtract
So the expression always equals I, whatever idempotent matrix A is.
The 7 in the question was chosen to cancel the exactly. (A matrix with is called idempotent: squaring it changes nothing, so neither does any higher power.)Check with an actual matrix
Take the matrix F below. Its square has entries , , and , so .
Square , entry by entry:
so has rows and , which is ✓. Multiply by again:
An example cannot prove the general result (Steps 1 to 3 do that), but it confirms the algebra, and it is exactly the kind of matrix we need to rule out the wrong options in the next step.Row times column. Basics: pair up, multiply, addExamine every option
For the matrix F of Step 4 the expression equals I, so any option that is not I for this F is wrong.
Option Value for F Verdict (A) A , rows , Wrong: not I. (It would also need , that is .) (B) , rows , Wrong: not I. (It equals I only when .) (C) I Correct, for every A with (Step 3). (D) , rows , Wrong: not I. ( is impossible with : it would give , and then .) Options (A) and (B) do coincide with I for special idempotents ( and respectively), which is why a single "nice" test matrix like I or O is not enough to separate the options. F is neither I nor O, and it rules out (A), (B) and (D) at once.A counterexample disproves a general claim. Lesson: properties of the operations
The correct answer is (C): with , and , so . (Textbook answer: C.)
A second idempotent, E with rows and : has diagonal , its cube has diagonal , and subtracting (diagonal ) leaves diagonal , that is I ✓. The trivial idempotents also give I: gives , and gives . The verification script checks 200 random idempotent matrices of orders 1 to 4.
- Using the binomial theorem without justification. expands like numbers only when . Here it is fine because one term is I; say so.
- Forgetting to reduce powers: means too, since .
- Testing only or . Each of those makes a wrong option look right.
- I commutes with every square matrix of its order, so polynomials in A and I multiply out exactly like ordinary polynomials.
- For an idempotent A, every power () equals A. In general ; here gives .
- To rule out MCQ options, use an example that is not a special case such as O or I.
Every fact used, and where it comes from
| Fact | Used in | Source |
|---|---|---|
| Associative and distributive laws; | Steps 1, 2 | Section 3.4.6, properties 1 to 3 (Lesson: properties of the operations) |
| Scalar multiples and sums: | Steps 1–3 | Section 3.4.4 (Lesson: addition and scalar multiplication) |
| Product entry formula | Step 4, Check | Section 3.4.5 (Lesson: matrix multiplication) |
| for idempotent A | What to take away | Verified for up to 8 in the site's verification script |
| All matrices and the random tests | Steps 4, 5, Check | Recomputed with sympy in the site's verification script |
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