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Matrices and Determinants question

2010 · Shift 0 · Q36
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  5. /2010 · Shift 0 · Q36

Matrices and Determinants question

2010 · Shift 0 · Q36

JEE MainMathematicsMatrices and DeterminantsMCQ+4 / −1
The number of 3×33 \times 33×3 non-singular matrices, with four entries as 111 and all other entries as 000, is :
  1. A
    555
  2. B
    666
  3. C
    at least 777
  4. D
    less than 444
View written solutionFree

Correct answer: C

  1. Interpret the question

We need the number of 3×33\times 33×3 matrices with:

  • exactly four entries equal to 111,
  • all remaining five entries equal to 000,
  • and the matrix must be non-singular (i.e. determinant ≠0\neq 0=0).

So we must count all invertible 000-111 matrices of size 3×33\times 33×3 having exactly four 111's.


  1. Necessary condition for non-singularity

If any row or any column is entirely zero, then the determinant is 000.

Since there are exactly four 111's distributed among 333 rows, for a non-singular matrix each row must contain at least one 111. Similarly, each column must contain at least one 111.

Now 444 ones are to be distributed among 333 rows with each row having at least one 111. Thus the row-sum pattern must be:

(2,1,1)(2,1,1)(2,1,1)

up to permutation.

Similarly, the column-sum pattern must also be:

(2,1,1)(2,1,1)(2,1,1)

up to permutation.

So every invertible matrix of this type must have exactly one row containing two 111's, and exactly one column containing two 111's.


  1. Count such matrices systematically

Choose:

  • the row which has two 111's: 333 choices,
  • the column which has two 111's: 333 choices.

Now fix such a row and such a column. We count the number of matrices with row sums (2,1,1)(2,1,1)(2,1,1) and column sums (2,1,1)(2,1,1)(2,1,1).

Let the special row be RiR_iRi​ and the special column be CjC_jCj​.

Because column CjC_jCj​ must contain two 111's, and the other two columns contain one 111 each, and row RiR_iRi​ must contain two 111's, there are exactly two possible patterns:

Case 1: entry (i,j)=1(i,j)=1(i,j)=1

Then row RiR_iRi​ needs one more 111 in one of the other two columns. Also column CjC_jCj​ needs one more 111 in one of the other two rows. The remaining two rows and two columns then get forced uniquely. This gives 2 possibilities.

Case 2: entry (i,j)=0(i,j)=0(i,j)=0

Then row RiR_iRi​ must have 111's in both the other columns, and column CjC_jCj​ must have 111's in both the other rows. Again the matrix is uniquely determined. This gives 1 possibility.

Let us verify by taking a concrete example: suppose row 1 and column 1 are the ones with sum 222. Then the possible matrices are

(110100001),(101100010),(011100100)\begin{pmatrix} 1&1&0\\ 1&0&0\\ 0&0&1 \end{pmatrix}, \quad \begin{pmatrix} 1&0&1\\ 1&0&0\\ 0&1&0 \end{pmatrix}, \quad \begin{pmatrix} 0&1&1\\ 1&0&0\\ 1&0&0 \end{pmatrix}​110​100​001​​,​110​001​100​​,​011​100​100​​

But the third matrix is singular because rows 2 and 3 are equal. So we must check non-singularity carefully.

Thus the above raw count includes singular cases.


  1. Better approach: count non-singular ones directly

A 3×33\times 33×3 matrix with exactly four 111's is singular if:

  • some row/column is zero, or
  • two rows are equal, or
  • rows are linearly dependent.

Since row sums must be (2,1,1)(2,1,1)(2,1,1), the two rows with a single 111 must be in different columns, otherwise they become equal and determinant becomes 000. Also, the row with two 111's must contain those two columns, and the remaining column must contain the lone 111 of the third row.

So a non-singular matrix must have row patterns exactly of the form:

ea+eb,ea,ece_a+e_b,\quad e_a,\quad e_cea​+eb​,ea​,ec​

where a,b,ca,b,ca,b,c are distinct and {a,b,c}={1,2,3}\{a,b,c\}=\{1,2,3\}{a,b,c}={1,2,3}. In other words:

  • one row has ones in two columns,
  • the other two rows have a single 111 each,
  • and those single 111's are in two different columns,
  • one of those columns is shared with the double-111 row, and the third column is occupied by the remaining single-111 row.

A clean way to count:

  • Choose the row having two 111's: 333 choices.
  • Choose the column where the row having two 111's has a 000: 333 choices. (equivalently, choose which two columns contain its 111's.)
  • For the remaining two rows, place the two single 111's in the two columns not both same; to keep all columns nonzero and rows distinct, their positions are forced up to permutation between the two rows: 222 choices.

Hence total number is

3×3×2=18.3\times 3\times 2 = 18.3×3×2=18.
  1. Check with examples

For example, if row 1 has two 111's and its zero is in column 3, then row 1 is

(1,1,0).(1,1,0).(1,1,0).

To make the matrix invertible, rows 2 and 3 must be

(1,0,0), (0,0,1)(1,0,0),\ (0,0,1)(1,0,0), (0,0,1)

or

(0,1,0), (0,0,1),(0,1,0),\ (0,0,1),(0,1,0), (0,0,1),

and these can be assigned to rows 2 and 3 in 222 ways in each pattern? Let's test carefully.

Actually, for row 1 = (1,1,0)(1,1,0)(1,1,0), the remaining two rows must be one of the following unordered pairs:

  • (1,0,0)(1,0,0)(1,0,0) and (0,0,1)(0,0,1)(0,0,1),
  • (0,1,0)(0,1,0)(0,1,0) and (0,0,1)(0,0,1)(0,0,1).

Each unordered pair can be arranged in rows 2 and 3 in 222 ways, giving 444 possibilities for this row pattern.

So my previous count of 181818 may be incomplete. Let us recount properly.


  1. Most reliable counting via row types

Choose the row with two 111's.

Step 6.1: Choose the row having two 111's

This can be done in

333

ways.

Step 6.2: Choose the pattern of that row

A row with exactly two 111's can be one of:

(1,1,0), (1,0,1), (0,1,1)(1,1,0),\ (1,0,1),\ (0,1,1)(1,1,0), (1,0,1), (0,1,1)

So there are

333

choices.

Step 6.3: Choose the other two rows

Suppose the chosen two-111 row is (1,1,0)(1,1,0)(1,1,0). Then to make all columns nonzero and avoid dependence, the remaining two rows must be two distinct standard basis rows chosen from

(1,0,0), (0,1,0), (0,0,1)(1,0,0),\ (0,1,0),\ (0,0,1)(1,0,0), (0,1,0), (0,0,1)

such that together with (1,1,0)(1,1,0)(1,1,0) they form an invertible matrix.

The valid pairs are:

  • (1,0,0)(1,0,0)(1,0,0) and (0,0,1)(0,0,1)(0,0,1),
  • (0,1,0)(0,1,0)(0,1,0) and (0,0,1)(0,0,1)(0,0,1).

Pair (1,0,0)(1,0,0)(1,0,0) and (0,1,0)(0,1,0)(0,1,0) is invalid because then column 3 is zero.

So there are 222 valid unordered pairs, and each can be arranged in the two remaining row positions in

2!2!2!

ways.

Hence for a fixed two-111 row pattern and fixed row position, number of matrices is

2×2=4.2\times 2 = 4.2×2=4.

Therefore total number is

3×3×4=36.3\times 3\times 4 = 36.3×3×4=36.
  1. Sanity check with one example

Take row 1 = (1,1,0)(1,1,0)(1,1,0). Then the four valid completions are

(110100001),(110001100),(110010001),(110001010)\begin{pmatrix} 1&1&0\\ 1&0&0\\ 0&0&1 \end{pmatrix}, \begin{pmatrix} 1&1&0\\ 0&0&1\\ 1&0&0 \end{pmatrix}, \begin{pmatrix} 1&1&0\\ 0&1&0\\ 0&0&1 \end{pmatrix}, \begin{pmatrix} 1&1&0\\ 0&0&1\\ 0&1&0 \end{pmatrix}​110​100​001​​,​101​100​010​​,​100​110​001​​,​100​101​010​​

Each has determinant ±1\pm 1±1, hence non-singular.

Similarly for each of the 333 choices of the row pattern and 333 positions of that row. Thus total is indeed

36.36.36.
  1. Compare with options

The number of such matrices is 363636. Now evaluate the options:

  • A: 555 — false
  • B: 666 — false
  • C: at least 777 — true
  • D: less than 444 — false

Since this is an MCQ with single correct option, the only valid statement is:

C\boxed{\text{C}}C​
  1. Comparison with stored correct answer

Stored correct answer is C. My derived answer is also C.

So they agree.

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