Q.Let A=[1−123], B=[4105], C=[210−2] and a=4, b=−2. Show that:
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Matrix Addition: The Intuition
You run a fruit stall and record apples and bananas sold each morning and afternoon in a table:
| Time | Apples | Bananas |
|---|---|---|
| Morning | 10 | 5 |
| Afternoon | 8 | 12 |
That's a matrix — a rectangular array of numbers. Your friend's stall has its own table for the same day (morning: 6 apples, 7 bananas; afternoon: 4 apples, 9 bananas). To get the combined sales, you add the numbers in the same position: morning apples with morning apples, afternoon bananas with afternoon bananas, and so on.
That's matrix addition: you add corresponding entries — numbers in the same row and column.
The Precise Statement
(A+B)ij=Aij+Bij
If A and B have the same size (same number of rows and columns), their sum A+B is a matrix of that size where each entry is the sum of the corresponding entries.
Example:
A=[215−3],B=[0742]
A+B=[2+01+75+4−3+2]=[289−1]
The One Rule You Cannot Break
You can only add matrices with the exact same dimensions. A 2×3 matrix cannot be added to a 3×2 matrix — the positions don't match.
Properties That Feel Natural
Matrix addition behaves like ordinary number addition, inheriting these from the addition of individual entries:
- Commutative: A+B=B+A
- Associative: (A+B)+C=A+(B+C)
- Zero matrix: there's a matrix O (all zeros) with A+O=A
A Quick Check …
Idea: matrix addition/subtraction is entry-wise, multiplication is row-by-column, and transpose swaps rows and columns. Compute both sides of each identity and check they match. Here A=[1−123], B=[4105], C=[210−2], a=4, b=−2.
(a) B+C=[6203]⇒A+(B+C)=[7126]; and A+B=[5028]⇒(A+B)+C=[7126]. ✓
(b) BC=[870−10]⇒A(BC)=[2213−20−30]; and AB=[6−11015]⇒(AB)C=[2213−20−30]. ✓
(c) a+b=2, so (a+b)B=[82010]; and aB+bB=[164020]+[−8−20−10]=[82010]. ✓
(d) C−A=[12−2−5], so a(C−A)=[48−8−20]=aC−aA. ✓
(e) AT=[12−13]⇒(AT)T=[1−123]=A. ✓
(f) bA=[−22−4−6]⇒(bA)T=[−2−42−6]=bAT. ✓ …
All nine identities (a)–(i) are true. We verify each by direct computation with A=[1−123], B=[4105], C=[210−2], a=4, b=−2.
The plan is simple: matrices obey the same associative, distributive and transpose laws as ordinary numbers (the one thing you cannot do is swap the order in a product). To verify each law here, we compute the left side and the right side separately and check they are the identical matrix.
(a) A+(B+C)=(A+B)+C — addition is associative
B+C=[4+21+10+05−2]=[6203],A+(B+C)=[7126].
A+B=[5028],(A+B)+C=[7126].
Both equal [7126].
(b) A(BC)=(AB)C — multiplication is associative
BC=[870−10],A(BC)=[1⋅8+2⋅7−1⋅8+3⋅71⋅0+2(−10)0+3(−10)]=[2213−20−30].
AB=[6−11015],(AB)C=[12+10−2+15−20−30]=[2213−20−30].
Both equal [2213−20−30].
(c) (a+b)B=aB+bB
a+b=2, so (a+b)B=[82010], and aB+bB=[164020]+[−8−20−10]=[82010].
(d) a(C−A)=aC−aA
C−A=[12−2−5], so a(C−A)=[48−8−20], and aC−aA=[840−8]−[4−4812]=[48−8−20].
(e) (AT)T=A
AT=[12−13]; transposing again gives [1−123]=A.
(f) (bA)T=bAT
bA=[−22−4−6], so (bA)T=[−2−42−6], and bAT=−2[12−13]=[−2−42−6].
(g) (AB)T=BTAT — the order reverses …
Method: Verifying matrix algebra laws by computing both sides
When a problem lists several identities (associativity, distributivity, transpose rules) to "show", the method is uniform: for each identity compute the left-hand side and the right-hand side as separate matrices and check they are identical. You do not prove the general theorems — you demonstrate them on the given data.
Steps
Step 1: Classify each identity by the operation involved.
Addition/associativity (A+(B+C)=(A+B)+C), scalar distributivity ((a+b)B=aB+bB), multiplication associativity/distributivity (A(BC)=(AB)C, (A−B)C=AC−BC), and transpose rules ((AT)T=A, (bA)T=bAT, (AB)T=BTAT, (A−B)T=AT−BT).
Step 2: Compute inner brackets first. …
Common Mistakes
Mistake 1: Writing (AB)T=ATBT instead of BTAT.
Why it's wrong: transposing a product reverses the order of the factors. Correct approach: for part (g) compute BTAT in that reversed order.
Mistake 2: Treating scalar distributivity like commutativity of matrices.
Why it's wrong: (a+b)B=aB+bB works because a,b are scalars; the analogous "(A+B)C=AC+BC" is true only because the common factor C stays on the same (right) side. Swapping to CA+CB would be wrong. Correct approach: keep each matrix factor on its correct side. …
Showing the 12 most recent of 13 on this concept.
- CBSE 2026Set ANNUAL1 markMCQQ.If A=[122331] and B=[3−1−1032], then the (2A−B) will be(a) [−155630](b) [55−1630](c) [244662](d) [−3516−32]
›Reveal solutionSolution
Scale A by 2 and subtract B entry-by-entry.
2A=[244662].
…
- CBSE 2026Set ANNUAL1 markQ.If A = \begin{pmatrix}1 & 2 & 3\ 2 & 3 & 1\end{pmatrix} and B = \begin{pmatrix}3 & -1 & 3\ -1 & 0 & 2\end{pmatrix}, then find the value of 2A - B.
›Reveal solutionSolution
Scale A by 2 (multiply every entry by 2), then subtract B entry-by-entry.
Working:
A=(122331),2A=(244662) …
- CBSE 2024Set ANNUAL1 markMCQQ.If A=[122331] and B=[3−1−1032], then (2A−B) will be:(a) [15−5620](b) [516−503](c) [−155630](d) [−153650]
›Reveal solutionSolution
Scale A by 2 entrywise, then subtract B entrywise.
A=[122331], so 2A=[244662].
B=[3−1−1032].
…
- CBSE 2024Set ANNUAL1 markQ.If A = [[2, 4], [3, 2]], B = [[-2, 5], [3, 4]] then find 3A - B.
›Reveal solutionSolution
Scale A by 3, then subtract B entrywise.
Given A=(2342) and B=(−2354).
3A=(69126)
…
- CBSE 2024Set ANNUAL1 markMCQQ.Let [ILLEGIBLE — page defect obscures the matrix's own name/label] = [[2, 4], [3, 2]], C = [[−2, 5], [3, 4]], the value of [ILLEGIBLE — page defect obscures the operator between the two matrices] C is :(a) [[0, 9], [6, 6]](b) [[0, 6], [?, 6]] — one cell illegible (page defect)(c) [[?, 7], [?, 2]] — two cells illegible (page defect)(d) None of these
›Reveal solutionSolution
Although the matrix's own name/label and the operator symbol between the two matrices are obscured by a scan defect, the arithmetic can be recovered: treating the given matrix and C as being added, the sum matches option (a) exactly.
Note on the source scan: the label of the first matrix (e.g. 'A' or 'B') and the operator between the two matrices are lost to a page-defect blot. Given matrix (unnamed) = [[2, 4], [3, 2]] and C = [[−2, 5], [3, 4]].
…
- CBSE 2024Set ANNUAL1 markMCQQ.If [31−42]+X=[3510], then the matrix X is ............... .(a) [6454](b) [0452](c) [045−2](d) [0−45−2]
›Reveal solutionSolution
Isolate X by subtracting the given matrix from the right-hand side matrix.
Given [31−42]+X=[3510]
…
- CBSE 2023Set ANNUAL1 markQ.If A = [[1, 3], [-2, 5]] and B = [[2, 4], [3, 2]] then find A + B.
›Reveal solutionSolution
Add corresponding entries of the two matrices.
Matrix addition is defined entry-by-entry: if A=[aij] and B=[bij] are matrices of the same order, then A+B=[aij+bij].
Here A=[[1,3],[−2,5]] and B=[[2,4],[3,2]].
…
- CBSE 2022Set ANNUAL1 markMCQQ.If A=[1021] and B=[2−110], then find 2A+3B.(a) [6052](b) [8−372](c) [7−372](d) [8−273]
›Reveal solutionSolution
Scale each matrix entrywise, then add corresponding entries.
A=[1021], B=[2−110].
2A=[2042], 3B=[6−330].
…
- CBSE 2022Set ANNUAL1 markQ.If A=[1−235] and B=[2342], then A−B= ______.
›Reveal solutionSolution
Subtract matrices entry-by-entry.
A=[1−235], B=[2342].
…
- CBSE 2022Set ANNUAL1 markQ.If matrix A=[2342] and B=[−2354], then find the value of 3A−B.
›Reveal solutionSolution
Scale A by 3 entrywise, then subtract B entrywise.
Given A=[2342], B=[−2354].
Step 1: Compute 3A by multiplying every entry by 3:
3A=[69126]
Step 2: Subtract B entrywise (matrices must have the same order to add/subtract, which they do here, both 2×2): …
- CBSE 2021Set I1 markMCQQ.[1001]+[0110]=(a) [2002](b) [0220](c) [2222](d) [1111]
›Reveal solutionSolution
Matrix addition is component-wise.
Add corresponding entries:
…
- CBSE 2020Set ANNUAL1 markQ.If A = [[1, 3], [−2, 5]] and B = [[−2, 5], [3, 4]], find the value of A − B.
›Reveal solutionSolution
Subtract corresponding entries of the two matrices.
…
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