Matrix Reasoning for SSC CHSL — Number Matrix, Figure Matrix, Missing Term

intermediate 18 min read

Concept

A matrix is a rectangular arrangement of numbers, symbols, or figures organized into rows and columns. Think of it like a timetable on your school noticeboard — subjects across the top (columns), days down the side (rows), and each cell holds specific information. The position of each element is what gives it meaning.

In SSC CHSL, matrix questions appear in two flavors:

Number matrices — A grid of numbers where you identify the pattern (row-wise, column-wise, or diagonal) and find the missing term. These are essentially pattern-recognition problems wearing a grid costume.

Conceptual matrix operations — Questions testing whether you know the rules for addition, scalar multiplication, transpose, determinant, trace, and order of matrix multiplication. These are formula-recall questions. If you know the definition, you get the mark. Full stop.

Here is the vocabulary you must own before you touch a matrix question:

The analogy that works best: treat a matrix like a spreadsheet table. Adding two matrices is like merging two spreadsheets cell-by-cell. Multiplying by a scalar is like applying a percentage increase to every cell. Transpose is like rotating the spreadsheet 90 degrees. And the determinant is a single "health number" for the matrix — it captures some essential property of the whole grid in one value.

Most CHSL matrix questions you will see are not asking you to solve complex systems of equations. They are asking: do you know the rule? Apply it. Pick the answer. Move on.


Deep Dive

Types of Matrix Questions in SSC CHSL

1. Missing Term in Number Matrix

You get a 3×3 (or 2×3) grid with one cell marked ?. Your job is to find the pattern and fill in the blank.

Common patterns to scan for (in this order):

Step-by-step process:

  1. Look at Row 1 (where all three values are given). Find what connects them.
  2. Verify that same rule holds in Row 2 (if partially filled) or Column 1.
  3. Apply the confirmed rule to the row/column containing ?.

Example: [[3, 5, 15], [4, 6, 24], [5, 7, ?]] — Pattern: col1 × col2 = col3. So 5 × 7 = 35.

2. Matrix Order and Multiplication Compatibility

For matrix multiplication A × B to be valid, the number of columns in A must equal the number of rows in B.

If A is m × n and B is n × p, then AB is m × p.

Look — the inner dimensions (n and n) must match, and they disappear. You're left with the outer dimensions (m × p). This is the rule. Commit it.

| A order | B order | AB possible? | AB order | |---------|---------|--------------|----------| | 3×2 | 2×4 | Yes | 3×4 | | 2×3 | 2×3 | No | — | | 4×1 | 1×5 | Yes | 4×5 |

3. Determinant of a 2×2 Matrix

For [[a, b], [c, d]]:

det = ad - bc

This is the only formula you need for CHSL. The calculation is:

For [[5, 2], [3, 1]]: (5×1) - (2×3) = 5 - 6 = -1.

The answer can be negative. Don't second-guess a negative determinant — it is perfectly valid.

4. Matrix Addition

Element-wise addition. Both matrices must have the same order.

A + B = [[a₁₁ + b₁₁, a₁₂ + b₁₂], [a₂₁ + b₂₁, a₂₂ + b₂₂]]

For [[2,4],[6,8]] + [[1,3],[5,7]]: Add position-by-position.

Result: [[3,7],[11,15]]

5. Scalar Multiplication

Multiply every single element by the scalar. No element is exempt.

2 × [[3,1],[2,4]] = [[6,2],[4,8]]

6. Negative of a Matrix (-A)

Multiply every element by -1. Positive becomes negative, negative becomes positive.

-[[1,-2],[3,4]] = [[-1,2],[-3,-4]]

Note carefully: -2 becomes +2 (not -2). Students flip this in exam pressure.

7. Transpose

Interchange rows and columns. Row 1 becomes Column 1, Row 2 becomes Column 2, and so on.

For a 2×3 matrix [[1,2,3],[4,5,6]], the transpose is a 3×2 matrix:

[[1,4],[2,5],[3,6]]

The order flips: m×n becomes n×m.

8. Trace of a Matrix

Sum of main diagonal elements only — that is, elements where row index = column index (positions (1,1), (2,2), (3,3), ...).

For [[2,5,1],[0,3,7],[4,6,8]]: Diagonal elements are 2, 3, 8. Trace = 2 + 3 + 8 = 13.

The off-diagonal elements are irrelevant. Do not add them.


Memory Tricks & Shortcuts

patternOUTER ORDER for Matrix Multiplication

When multiplying A(m×n) × B(n×p), the result order is the OUTER pair: m×p. The inner pair (n×n) must match (otherwise multiplication is invalid) and then vanishes from the answer. In the exam, write A(3×2) × B(2×4) — circle the outer numbers (3 and 4) — that's your answer: 3×4. Standard approach of writing out compatibility check: 6 steps. This method: 2 steps (circle outers, done).

patternCross-Multiply Subtract for Determinant

For [[a,b],[c,d]], draw an X across the matrix. Multiply the downward slash (a×d) and subtract the upward slash (b×c). Visualizing the X prevents the most common error of mixing up which product to subtract from which. For [[5,2],[3,1]]: downward = 5×1 = 5, upward = 2×3 = 6. Answer = 5-6 = -1. Standard formula recall: 20s. Visual X method: 8s.

patternTranspose = Rotate the Index

The element at position (row i, column j) in the original becomes position (row j, column i) in the transpose. Concretely: element at (1st row, 3rd column) moves to (3rd row, 1st column). For a 2×3 matrix, write columns of original as rows of answer — left to right becomes top to bottom. This gives you the transposed matrix without having to track every element individually. Standard element-tracking: 5-7 elements tracked individually. This method: scan columns once, write directly — cuts errors by half.

eliminationDiagonal Spotlight for Trace

Before looking at any element in a trace question, physically draw a diagonal line from top-left to bottom-right on your rough work. Only read numbers on that line. Every number off that line is a distractor placed to tempt you into adding it. For a 3×3 matrix, this eliminates 6 out of 9 numbers instantly, leaving exactly 3 to sum. Standard approach (read all 9, pick 3): 12s. Diagonal spotlight (scan 3 directly): 4s.

patternSign-Flip Check for Negative Matrix

When finding -A, your biggest risk is a negative element — you must flip its sign to positive. Before writing your answer, scan the original matrix for any negative numbers first. Mentally list them: "row 1 has -2, so in -A that becomes +2." Handle negatives explicitly before dealing with positives. This targeted scan prevents the classic error of writing -(-2) as -2. Standard free-recall: 15s with 30% error rate on negative elements. Targeted negative-scan: 10s with near-zero error rate.


Fast-Solving Framework

Walk into every matrix question with this decision tree:

Step 1 — Identify question type.

Step 2 — For missing-term questions only: Scan Row 1 (fully given). Identify the operation connecting three known values. Verify it on Row 2 or Column 1. Apply to the row/column with ?.

Step 3 — Write the calculation on rough paper. Never do determinants or addition mentally in the exam hall — position errors are silent and costly.

Step 4 — Cross-check with options. If your answer is not among the options, you made a sign error (most likely in determinant) or mixed up a diagonal element. Recalculate once before moving on.

Time target: 40-60 seconds per matrix question.


Solved PYQs

Why this question: Tests the most fundamental matrix operation — determinant of a 2×2. The negative answer is deliberately placed to trap students who assume determinants are always positive.

Previous Year Questionपिछले वर्ष का प्रश्न
What is the determinant of matrix [[5, 2], [3, 1]]?
मैट्रिक्स [[5, 2], [3, 1]] का डिटर्मिनेंट क्या है?
  1. -1
  2. 1
  3. 11
  4. 16
  1. -1
  2. 1
  3. 11
  4. 16
Solutionसमाधान
Using the formula ad - bc for 2×2 determinant: (5×1) - (2×3) = 5 - 6 = -1.
2×2 निर्धारक के लिए सूत्र ad - bc का उपयोग करते हुए: (5×1) - (2×3) = 5 - 6 = -1।

Solving path: Apply ad - bc directly. a=5, b=2, c=3, d=1. Calculation: (5×1) - (2×3) = 5 - 6 = -1. The answer is negative — accept it without hesitation.


Why this question: Order of matrix multiplication is a recurring concept. Students who confuse "inner must match" with "that's the answer order" will pick the wrong option.

Previous Year Questionपिछले वर्ष का प्रश्न
If matrix A is of order 3×2 and matrix B is of order 2×4, what is the order of matrix AB?
यदि matrix A की order 3×2 है और matrix B की order 2×4 है, तो matrix AB की order क्या होगी?
  1. 2×3
  2. 3×4
  3. 2×4
  4. 3×2
  1. 2×3
  2. 3×4
  3. 2×4
  4. 3×2
Solutionसमाधान
When multiplying matrices A(m×n) and B(n×p), the resulting matrix AB has order m×p. Here A(3×2) × B(2×4) = AB(3×4).
मैट्रिसेस A(m×n) और B(n×p) को गुणा करते समय, परिणामी मैट्रिक्स AB का क्रम m×p होता है। यहाँ A(3×2) × B(2×4) = AB(3×4)।

Solving path: A is 3×2, B is 2×4. Inner dimensions both equal 2 — multiplication is valid. Outer dimensions: 3 and 4. Answer: 3×4. Eliminate options 2×3, 2×4, and 3×2 immediately.


Why this question: Pure formula recall. Knowing ad - bc versus the distractor ac - bd separates prepared candidates from guessers.

Previous Year Questionपिछले वर्ष का प्रश्न
In a 2×2 matrix [[a, b], [c, d]], what is the formula for determinant?
2×2 matrix [[a, b], [c, d]] में determinant का सूत्र क्या होता है?
  1. a + b + c + d
  2. ad - bc
  3. ac - bd
  4. ab - cd
  1. a + b + c + d
  2. ad - bc
  3. ac - bd
  4. ab - cd
Solutionसमाधान
For a 2×2 matrix [[a, b], [c, d]], the determinant is calculated as ad - bc. This is the standard formula for 2×2 determinant.
2×2 मैट्रिक्स [[a, b], [c, d]] के लिए, निर्धारक ad - bc के रूप में गणना किया जाता है। यह 2×2 निर्धारक का मानक सूत्र है।

Solving path: The determinant formula for [[a,b],[c,d]] is ad - bc. Option B. The other options (ac - bd, ab - cd, a+b+c+d) are all invented distractors — none of them represent any standard matrix operation.


Why this question: Matrix addition looks simple but students under time pressure add wrong pairs of elements or multiply instead of add.

Previous Year Questionपिछले वर्ष का प्रश्न
If matrix A = [[2, 4], [6, 8]] and matrix B = [[1, 3], [5, 7]], what is A + B?
  1. [[3, 7], [11, 15]]
  2. [[2, 12], [30, 56]]
  3. [[1, 1], [1, 1]]
  4. [[3, 1], [1, 1]]
Solutionसमाधान
Matrix addition is done element-wise. A + B = [[2+1, 4+3], [6+5, 8+7]] = [[3, 7], [11, 15]].
मैट्रिक्स जोड़ना तत्व-दर-तत्व किया जाता है। A + B = [[2+1, 4+3], [6+5, 8+7]] = [[3, 7], [11, 15]]।

Solving path: Add position-by-position: top-left (2+1=3), top-right (4+3=7), bottom-left (6+5=11), bottom-right (8+7=15). Result: [[3,7],[11,15]]. Option B (which multiplies elements) is the classic trap — it gives [[2,12],[30,56]], which looks plausible if you panic and multiply.


Why this question: Trace is a single-concept question — students who add all 9 elements instead of just the diagonal three will pick the wrong (larger) answer.

Previous Year Questionपिछले वर्ष का प्रश्न
What is the trace of matrix [[2, 5, 1], [0, 3, 7], [4, 6, 8]]?
  1. 13
  2. 15
  3. 36
  4. 11
Solutionसमाधान
Trace of a matrix is the sum of diagonal elements. Trace = 2 + 3 + 8 = 13.
मैट्रिक्स का ट्रेस विकर्ण तत्वों का योग है। ट्रेस = 2 + 3 + 8 = 13।

Solving path: Diagonal elements are (1,1)=2, (2,2)=3, (3,3)=8. Trace = 2+3+8 = 13. Option A. The sum of all elements = 2+5+1+0+3+7+4+6+8 = 36 — that is option C, placed specifically to catch students who do not know what "trace" means.


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