Q.If 4−x4+x4+x4+x4−x4+x4+x4+x4−x=0, then find values of x.
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Determinant Equality Equation
Sometimes a determinant is not just a number to compute — it is set equal to a given value, and that equality becomes an equation you must solve. The unknown sits inside the matrix, so you first evaluate the determinant as an expression in that unknown, then solve the resulting ordinary equation.
Core idea: a determinant containing a variable is just a polynomial in disguise. "Expand the determinant, set it equal to the given value, solve" — that is the whole recipe.
The basic move
Suppose you are told
x32x=10.
Expand the left side: x⋅x−2⋅3=x2−6. Now it is an equation you already know how to handle:
x2−6=10⇒x2=16⇒x=±4.
A 2×2 gives a quadratic; a 3×3 typically gives a cubic. The number of solutions matches the degree of the polynomial you get.
Before expanding a 3×3, use row/column operations to create zeros. Fewer non-zero entries means a much shorter polynomial to solve — the value of the determinant is unchanged when you add a multiple of one row to another.
The important special case: equals zero
Most board problems set the determinant to 0:
1241xx21416=0.
Expanding gives a polynomial in x; its roots are the required values. Geometrically, a determinant being zero means the rows (or columns) are linearly dependent — the matrix is singular — so these equations often ask "for what value does the system collapse?"
A classic application: three points on one line
Three points A(x1,y1), B(x2,y2), C(x3,y3) are collinear exactly when the area of triangle ABC is zero. Since that area is 21 of a determinant, the collinearity condition is a determinant equation: …
Key idea: every row sums to 12+x, so factor that out; the rest reduces to a diagonal with two entries −2x.
Step 1 — C1→C1+C2+C3 makes each first-column entry (4−x)+(4+x)+(4+x)=12+x:
(12+x)1114+x4−x4+x4+x4+x4−x.
Step 2 — R2→R2−R1 and R3→R3−R1: …
Every row sums to 12+x; factoring it out and triangularizing leaves 4x2(12+x), so the equation forces x=0 or x=−12.
Intuition
The diagonal entries are 4−x and every off-diagonal entry is 4+x, so each row has the same total 12+x. That common sum comes out as a factor once you fold the columns together, and the leftover determinant reduces easily to a triangle.
Setting up
4−x4+x4+x4+x4−x4+x4+x4+x4−x=0.
Working the steps
1. Fold the columns in: C1→C1+C2+C3. Each first-column entry becomes (4−x)+(4+x)+(4+x)=12+x:
12+x12+x12+x4+x4−x4+x4+x4+x4−x=(12+x)1114+x4−x4+x4+x4+x4−x. …
Method: Equal-Row-Sum Determinants — Fold, Factor, Solve for the Unknown
This is the same row-sum-folding technique used for any determinant where every row's entries add to the same expression, applied here to find the value(s) of an unknown that make the determinant vanish.
Steps
Step 1: Check that every row sums to the same expression
Add across each row of the matrix. If a diagonal value a and an off-diagonal value b repeat throughout, every row sums to a+2b (for a 3×3) — recognising this immediately tells you to fold columns rather than expand directly.
Step 2: Fold the columns into one and factor
Apply C1→C1+C2+C3; every entry in the new first column becomes the common row sum, which factors straight out of the determinant, leaving a first column of 1's.
Step 3: Clear the column and reduce to a diagonal …
Common Mistakes
Mistake 1: Mishandling the double negative
The triangular product includes (−2x)×(−2x), which equals +4x2, not −4x2. Missing this sign flip changes the whole equation 4x2(12+x)=0 into something with the wrong roots.
Mistake 2: Not recognizing x=0 as a repeated root
x=0 comes from x2=0, a double root, not a single one. It doesn't change the set of solutions here, but a student asked to justify or count roots (e.g. in a multiplicity-aware follow-up) who treats it as a simple root is missing part of the structure.
Mistake 3: Combining the two factoring steps incorrectly …
- COMEDK 2026Set 2026-M1 markMCQQ.If x=4 is a root of x13x−2=5, then the other root is: (A) -4 (B) 3 (C) -2 (D) -1
›Reveal solutionSolution
The determinant equation simplifies to a quadratic whose roots are the two values of x that satisfy it; given one root is 4, the other root is found via Vieta’s formulas to be −1.
We are given that x=4 satisfies
x13x−2=5.
The determinant of a 2×2 matrix (acbd) is ad−bc. So the equation becomes
x(x−2)−(3)(1)=5.
- Simplify the determinant equation
x(x−2)−3=5⟹x2−2x−3=5.
Bring all terms to one side:
x2−2x−8=0.
-
Recognize the quadratic
The equation x2−2x−8=0 is a quadratic in x. Its two roots are the values of x that make the original determinant equal to 5. We are told one root is 4.
-
Use Vieta’s formulas
For a quadratic x2+bx+c=0, the sum of the roots is −b and the product is c. Here b=−2 and c=−8.
Let the roots be r1=4 and r2. Then
r1+r2=2⟹4+r2=2⟹r2=−2. …
- KCET 2024Set A-11 markMCQQ.Let f(x)=x2cosx2sinxsinxxxx12xx. Then limx→0x2f(x)= (A) −1 (B) 0 (C) 3 (D) 2
›Reveal solutionSolution
Column 2 is (x,x,x)T, so pull x out; the determinant reduces to x(sinx−xcosx), and dividing by x2 leaves xsinx−cosx→0.
Step 1 — Exploit the structure of the determinant.
D=cosx2sinxsinxxxx12xx
Every entry of the second column is x. A determinant is linear in each column, so x can be taken out of that column:
D=xcosx2sinxsinx11112xx
Step 2 — Expand the reduced determinant along the first column.
cosx2sinxsinx11112xx=cosx(x−2x)−1(2xsinx−2xsinx)+1(2sinx−sinx)
=−xcosx−0+sinx=sinx−xcosx
Hence
D=x(sinx−xcosx)=xsinx−x2cosx
Step 3 — Divide by x2 and take the limit.
x2D=x2xsinx−x2cosx=xsinx−cosx …
- COMEDK 2024Set 2024-E1 markMCQQ.If A=0x0x59167x is a singular matrix then x is equal to (A) −12 (B) 21 (C) −144 (D) 144
›Reveal solutionSolution
A singular matrix has determinant zero. Setting the determinant of the given 3×3 matrix to zero yields a quadratic in x, whose solutions are x=−12 and x=12. Among the options, only −12 appears, so the answer is (A).
Concept & Intuition
A singular matrix is one that does not have an inverse — its determinant is exactly zero. For a 3×3 matrix, the determinant is a polynomial in its entries. Here, the matrix contains the variable x in three places, so setting det(A)=0 gives an equation we can solve for x. The trick is to compute the determinant carefully, especially noticing the zeros in the first column — they will simplify the expansion.
Step-by-step solution
- Write down the matrix
A=0x0x59167x
- Expand the determinant along the first column (because it has two zeros, making the calculation quick). The first column entries are: a11=0, a21=x, a31=0. Only the term from a21 survives. The sign factor for row 2, column 1 is (−1)2+1=−1. So:
det(A)=0⋅C11+x⋅(−1)⋅M21+0⋅C31
where M21 is the minor (determinant of the submatrix after removing row 2 and column 1).
- Find the minor M21 Remove row 2 and column 1:
0x0x59167x⟶(x916x)
The determinant of this 2×2 matrix is:
M21=(x)(x)−(16)(9)=x2−144
- Assemble the full determinant
det(A)=−x⋅(x2−144)=−x(x2−144)
- Set the determinant to zero (singular condition)
- COMEDK 2023Set 2023-E1 markMCQQ.If 2+x1x3−1142−5 is a singular matrix, then x is (A) 135 (B) −1325 (C) 2513 (D) 1325
›Reveal solutionSolution
Set equal to zero: 25 + 13x = 0 => x = -25/13.
Concept: a matrix is singular iff its determinant is zero.
det = | 2+x 3 4 ; 1 -1 2 ; x 1 -5 |
Expand along the first row:
(2+x) * [(-1)(-5) - (2)(1)] - 3 * [(1)(-5) - (2)(x)] + 4 * [(1)(1) - (-1)(x)]
= (2+x)(5 - 2) - 3(-5 - 2x) + 4(1 + x)
= 3(2 + x) + 15 + 6x + 4 + 4x …
- COMEDK 2023Set 2023-M1 markMCQQ.If A=[k+142k−1] is a singular matrix, then possible values of k are (A) ±1 (B) ±2 (C) ±3 (D) ±4
›Reveal solutionSolution
A singular matrix has zero determinant: (k+1)(k−1)−8=0⇒k2=9⇒k=±3.
A=[k+142k−1] singular means detA=0:
(k+1)(k−1)−(2)(4)=0 …
- COMEDK 2022Set 20221 markMCQQ.If A=[2−k123−k] is a singular matrix, then the value of 5k−k2 is (A) 0 (B) 6 (C) −6 (D) 4
›Reveal solutionSolution
So the value of 5k - k^2 is 4 (this holds for either root k = 1 or k = 4).
Concept: A matrix is singular iff its determinant is zero.
A = [[2 - k, 2], [1, 3 - k]]
|A| = (2 - k)(3 - k) - (2)(1) = 6 - 2k - 3k + k^2 - 2 = k^2 - 5k + 4 …
- KCET 2018Set A-11 markMCQQ.Let A be a square matrix of order 3×3, then ∣5A∣= (A) 5∣A∣ (B) 125∣A∣ (C) 25∣A∣ (D) 15∣A∣
›Reveal solutionSolution
Use ∣kA∣=kn∣A∣ for an n×n matrix; here n=3, so the factor is 53=125.
Step 1 — What scalar multiplication does.
5A means every one of the nine entries is multiplied by 5. In particular, each of the 3 rows is scaled by 5.
Step 2 — The determinant property.
A determinant is a multilinear function of its rows: if one row is multiplied by k, the determinant is multiplied by k (this is the standard property ∣Ri→kRi∣=k∣A∣). Applying it once per row for a 3×3 matrix:
∣5A∣=5⋅5⋅5⋅∣A∣=53∣A∣
Step 3 — General rule and evaluation.
∣kA∣=kn∣A∣ for A of order n×n
∣5A∣=53∣A∣=125∣A∣ …
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