Q.Let A=1−sinθ−1sinθ1−sinθ1sinθ1, where 0≤θ≤2π. Then (A) det(A)=0 (B) det(A)∈(2,∞) (C) det(A)∈(2,4) (D) det(A)∈[2,4]
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Determinant Range Analysis
The determinant of a square matrix is a single number that tells you a lot: whether the matrix is invertible, how it scales area or volume, and so on. Now suppose the entries are not fixed but are each allowed to move between two limits. Then the determinant is not free to be anything either — it lives inside a definite range.
Determinant range analysis answers exactly this: given bounds on the entries, what are the smallest and largest possible values of the determinant?
Why it matters: if the determinant can never reach 0, the matrix stays invertible no matter how the entries wobble. If the range includes 0, the matrix could become singular — a warning sign for the system it describes.
The intuition with a 2×2 example
Take A=(acbd), so det(A)=ad−bc, and suppose every entry lies in [0,1].
- Largest value: make ad big and bc small — set a=d=1, b=c=0, giving det=1.
- Smallest value: make ad small and bc big — set a=d=0, b=c=1, giving det=−1.
So the range is [−1,1]. Since 0 is inside it, some matrices in this family are singular.
The key fact: extremes sit at the corners
The determinant is linear in each entry when the others are held fixed (this is the row/column-linearity of determinants). A linear function on an interval always attains its largest and smallest values at the endpoints. So to find the range you push each variable entry to one of its two bounds and compare — you never need an interior value.
Do not just plug each entry's extreme into the formula independently and assume that gives the range. The terms of a determinant share entries, so those choices interact — always track which combination is actually achievable.
A worked, exam-style problem
Problem. Let A=(x11y) with 0≤x≤2 and 0≤y≤2. Find the range of det(A). …
Concept: Determinant Range Analysis — compute the determinant as a function of θ, then find its possible values.
Step 1: Expand the determinant.
Using A=1−sinθ−1sinθ1−sinθ1sinθ1, expand along the first row:
det(A)=1⋅1−sinθsinθ1−sinθ⋅−sinθ−1sinθ1+1⋅−sinθ−11−sinθ.
Step 2: Compute each minor.
First minor: 1⋅1−(sinθ)(−sinθ)=1+sin2θ.
Second minor: (−sinθ)(1)−(sinθ)(−1)=−sinθ+sinθ=0, so the term vanishes. …
The determinant simplifies to 2(1+sin2θ), which for θ∈[0,2π] ranges from 2 to 4, so the correct option is (D).
The key insight here is that the matrix has a clear pattern: it’s skew-symmetric in the off-diagonal entries, with 1’s on the diagonal. When you compute the determinant of such a matrix, many terms cancel or simplify nicely. Instead of brute-forcing the entire expansion, we can use the structure to reduce work.
Let’s go step by step.
- Write the determinant explicitly.
detA=1−sinθ−1sinθ1−sinθ1sinθ1
- Expand using the first row (or any row). Expanding along row 1:
detA=1⋅1−sinθsinθ1−sinθ⋅−sinθ−1sinθ1+1⋅−sinθ−11−sinθ
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Compute each 2×2 determinant.
- First minor: 1−sinθsinθ1=(1)(1)−(sinθ)(−sinθ)=1+sin2θ
- Second minor: −sinθ−1sinθ1=(−sinθ)(1)−(sinθ)(−1)=−sinθ+sinθ=0
- Third minor: −sinθ−11−sinθ=(−sinθ)(−sinθ)−(1)(−1)=sin2θ+1
Notice the second minor is zero — that’s a nice simplification.
-
Plug back into the expansion.
detA=1⋅(1+sin2θ)−sinθ⋅0+1⋅(1+sin2θ)
detA=(1+sin2θ)+(1+sin2θ)=2(1+sin2θ)
The zero second minor is not a coincidence — it happens because the two columns in that minor are proportional when sinθ=0, and trivially zero when sinθ=0. Spotting such cancellations early saves time.
- Now find the range of detA for θ∈[0,2π]. …
Method: Reduce to a Single-Variable Function, Then Find Its Range
This method finds the range of a determinant whose entries depend on one parameter (here θ) by first simplifying the determinant to an explicit function of that parameter, then applying the known range of the trig (or algebraic) expression involved.
Steps
Step 1: Expand the determinant symbolically
Expand along whichever row or column has the simplest entries (often the first row), keeping θ symbolic throughout. Don't substitute any numeric value yet.
Step 2: Simplify using trig identities
Combine terms using standard identities (e.g. sin2θ+cos2θ=1, or noticing a minor vanishes identically). The goal is to collapse the expansion down to a single simple function of θ, ideally something like k(1+sin2θ) or k+mcos2θ.
Step 3: Identify the range of the underlying trig function
Recall the standard bounds: −1≤sinθ≤1, so 0≤sin2θ≤1 (never negative). Apply the given domain restriction on θ if it doesn't cover a full period.
Step 4: Substitute the bounds into the simplified expression …
Common Mistakes
Mistake 1: Assuming sin2θ can be negative or exceed 1
Why it's wrong: sinθ always lies in [−1,1], so sin2θ is always in [0,1] — never negative, never above 1, regardless of how large θ is. Correct approach: once the determinant simplifies to 2(1+sin2θ), apply the fixed bounds 0≤sin2θ≤1 directly to get the range [2,4].
Mistake 2: Missing that the second cofactor term vanishes and re-doing unnecessary algebra …
- AP EAPCET 2022Set eng-2022-07-04-FN1 markMCQQ.Let A=5−sin2θcos2θsin2θ−51cos2θ15. Then maximum value of det(A) is (A) −125 (B) 200 (C) −2255 (D) 145
›Reveal solutionSolution
Expanding the determinant in terms of s=sin2θ,c=cos2θ reduces it to −125−10sc, which is maximised when sc=0. Answer: maximum value =−125.
Concept and Intuition
Rather than treating θ directly, it's cleaner to substitute s=sin2θ and c=cos2θ, using the identity s+c=1. Expanding the determinant along the first row reduces everything to a simple function of the product sc, whose range (0 to 1/4) is easy to reason about directly, avoiding messy trigonometric calculus.
Step-by-Step Solution
- A=5−scs−51c15 where s=sin2θ, c=cos2θ.
- Expand along row 1: detA=5[(−5)(5)−1⋅1]−s[(−s)(5)−1⋅c]+c[(−s)(1)−(−5)(c)].
- =5(−26)−s(−5s−c)+c(−s+5c)=−130+5s2+sc−sc+5c2=−130+5(s2+c2).
- Use s2+c2=(s+c)2−2sc=1−2sc (since s+c=1): detA=−130+5(1−2sc)=−125−10sc. …
- AP EAPCET 2021Set eng-2021-08-25-FN1 markMCQQ.The values of 'x' for which the given matrix −x2xxx−22−x−2 will be non-singular are (A) −2≤x≤2 (B) For all x other than 2 and −2 (C) x≥2 (D) x≤−2
›Reveal solutionSolution
Expanding the determinant as a cubic in x and factoring shows it vanishes only at x=±2; the matrix is invertible everywhere else.
Concept and Intuition
A matrix is non-singular (invertible) exactly where its determinant is nonzero. So the task reduces to computing det(x) as a polynomial in x, finding its roots (where the matrix becomes singular), and stating the complement as the answer.
Step-by-Step Solution
- Expand the determinant −x2xxx−22−x−2 along the first row: =−x[x(−2)−(−x)(−2)]−x[2(−2)−(−x)(x)]+2[2(−2)−x⋅x] =−x(−2x−2x)−x(−4+x2)+2(−4−x2) =−x(−4x)−x(x2−4)+2(−4−x2) =4x2−x3+4x−8−2x2=−x3+2x2+4x−8.
- Set det=0: x3−2x2−4x+8=0. Testing x=2: 8−8−8+8=0 — root.
- Factor: x3−2x2−4x+8=(x−2)(x2−4)=(x−2)(x−2)(x+2)=(x−2)2(x+2). …
- AP EAPCET 2021Set eng-2021-08-23-AN1 markMCQQ.Let X=[11−11]. Let Y be a 2×2 real matrix satisfying the condition XY=YX. Then the smallest possible value of det(Y) is ____ (A) 0 (B) -2 (C) -1 (D) 21
›Reveal solutionSolution
Every real matrix Y commuting with X must have the form Y=aI+bX; computing det(Y)=(a+b)2+b2 shows this is always ≥0, with the minimum value 0 attained (at a=b=0, i.e. Y the zero matrix).
Concept and Intuition
When a 2×2 matrix has distinct, non-real (complex conjugate) eigenvalues, its characteristic polynomial is irreducible over the reals and equals its minimal polynomial. A standard linear algebra fact then says: the set of ALL real 2×2 matrices commuting with such a matrix X is exactly the 2-dimensional space spanned by I and X itself, i.e. {aI+bX:a,b∈R} — nothing bigger commutes with it. So instead of solving XY=YX entry-by-entry, we can directly parametrise all valid Y this way and then just minimise det(Y) over the two free real parameters.
Step-by-Step Solution
- Characteristic polynomial of X: trace =1+1=2, determinant =1(1)−(−1)(1)=1+1=2; so λ2−2λ+2=0, discriminant =4−8=−4<0 — complex conjugate eigenvalues, confirming X's min poly is degree 2 (equal to its char poly).
- Hence every real Y with XY=YX has the form Y=aI+bX for some real a,b.
- Compute: Y=a[1001]+b[11−11]=[a+bb−ba+b].
- det(Y)=(a+b)(a+b)−(−b)(b)=(a+b)2+b2. …
- AP EAPCET 2024Set eng-2024-05-23-FN1 markMCQQ.If a111b111c>0, then abc> (A) 1 (B) −8 (C) 8 (D) 3
›Reveal solutionSolution
Expanding the determinant gives the condition abc>a+b+c−2; checking the boundary case a=b=c=t shows the determinant stays positive for every t>−2, and t→−2 pushes abc=t3 down to −8 — so abc>−8 is the bound that survives every valid case, while 1, 8 and 3 are all defeated by an explicit example (a=b=c=0.9 gives abc=0.729 with the determinant still positive).
Concept and Intuition
Expand the determinant symbolically first — this turns a geometric-looking condition into a plain algebraic inequality in a,b,c. To find which of several proposed numeric bounds is the one that always holds, it's often fastest to test the symmetric case a=b=c=t: this reduces a 3-variable inequality to a single-variable cubic, whose sign behaviour is easy to read off by factoring, and it also reveals the extreme (boundary) value that the bound must respect.
Step-by-Step Solution
- Expand along the first row: a111b111c=a(bc−1)−1(c−1)+1(1−b)=abc−a−b−c+2.
- So the given condition is abc−a−b−c+2>0, i.e. abc>a+b+c−2.
- Test the symmetric case a=b=c=t: the condition becomes t3−3t+2>0.
- Factor: t3−3t+2=(t−1)2(t+2). Since (t−1)2≥0 always, the sign is controlled by (t+2): the expression is >0 for every t>−2 with t=1 (at t=1 it equals 0, not satisfying strict >0).
- As t→−2+ (staying inside the valid region), abc=t3→(−2)3=−8 from above — so abc can be pushed arbitrarily close to −8 while the determinant condition holds, showing −8 is the boundary value the bound must respect. …
- AP EAPCET 2023Set eng-2023-05-16-FN1 markMCQQ.In a matrix A, if all the sub matrices of kth order are singular and there is one non-singular sub matrix of order r (r<k), then the rank (ρ) of the matrix A (A) satisfies r≤ρ<k (B) is equal to r (C) is equal to (k−1) (D) is equal to (k+1)
›Reveal solutionSolution
A nonsingular order-r submatrix gives ρ≥r; all order-k submatrices being singular gives ρ<k — together, r≤ρ<k.
Concept and Intuition
Rank is the largest order at which a non-singular submatrix can be found. Any confirmed non-singular submatrix of order r sets a floor on the rank. Any confirmed absence of a non-singular submatrix at order k (i.e., every order-k submatrix is singular) sets a ceiling — the rank cannot reach as high as k.
Step-by-Step Solution
- Existence of a non-singular order-r submatrix ⇒ρ≥r (rank is at least this large, since we've exhibited a witness).
- All order-k submatrices being singular means there is no non-singular submatrix of order k; since rank is defined via the existence of such a submatrix, ρ cannot equal or exceed k, so ρ≤k−1, i.e. ρ<k.
- Combining both bounds: r≤ρ<k. …
- AP EAPCET 2023Set eng-2023-05-16-FN1 markMCQQ.If there exists a kth order non-singular sub matrix in a matrix P of order m×n, then the rank (ρ) of P (A) satisfies k≤ρ≤m (B) satisfies k<ρ<n (C) satisfies k≤ρ≤min{m,n} (D) is equal to k+1
›Reveal solutionSolution
Existence of a nonsingular k-order submatrix bounds rank from below by k; the matrix's own dimensions bound rank from above by min{m,n}.
Concept and Intuition
The rank of a matrix is defined as the largest order of any non-singular (invertible) square submatrix that can be extracted from it. If we already know one such submatrix of order k exists, the true rank must be at least k (there might be an even larger non-singular submatrix). On the other hand, no square submatrix can have order exceeding the smaller of the number of rows or columns, since we cannot pick more than m rows or more than n columns.
Step-by-Step Solution
- Existence of a non-singular k×k submatrix directly implies ρ(P)≥k (by definition of rank as the maximum such order). …
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