Sigma Percentile
JEE Advanced 1985
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: If and the vectors , , , are non-coplanar, then the product

Enter Numerical Value:

Visualized Solution

Analyze the Determinant Structure

  • Given determinant equation:
  • Notice the third column has a sum of two terms: and a cubic term.

Linearity Property of Determinants

  • Linearity Property: If elements of a column are expressed as a sum of two terms, the determinant can be expressed as the sum of two determinants.
  • We will split the third column.

Splitting the Determinant

  • Splitting into two determinants:

Factoring the Second Determinant

  • Focus on the second determinant:
  • Factor out from , from , and from :

Rearranging Columns for Symmetry

  • First determinant:
  • Swap , then .
  • Each swap multiplies the determinant by . Two swaps mean .
  • Result:

Factoring the Common Determinant

  • The equation becomes:
  • Factor out the common determinant:

The Non-Coplanar Vectors

  • We are given three vectors:
  • These vectors are non-coplanar.

Scalar Triple Product Condition

  • For non-coplanar vectors, their Scalar Triple Product (STP) is non-zero:
  • The STP is exactly the determinant we found!

Final Calculation for abc

  • We have:
  • Therefore, the other factor must be zero:

The Sigma Insight: Properties of Determinants

Solution Diagram

The Geometry of Algebra

Unlocking the Determinant
Welcome, future engineer. Today, we are not just solving a math problem; we are peeling back the layers of a beautiful geometric structure.
When you look at a determinant like
your first instinct might be to expand it. Resist that urge. In the world of JEE Advanced, brute force is rarely the intended path. Instead, let us look at the anatomy of this matrix.

Phase 1

The Power of Linearity
Look at that third column. It is not a simple list of numbers; it is a sum: , , and . This is a massive hint.
In linear algebra, the determinant is a linear function of its columns. This means if a column is a sum, we can split the determinant into two separate, cleaner pieces.
We keep the first two columns, and , identical in both new determinants. In the first, we place the s in the third column. In the second, we place the cubic terms .
Suddenly, the problem feels much lighter.

Phase 2

The Dance of Symmetry
Now, let us examine our second determinant:
Do you see the pattern? Every row has a common factor. Row one has , row two has , and row three has .
By factoring and out of their respective rows, we are left with:
Now, look at our first determinant from the split:
It is almost identical to the one we just factored, but the columns are in the wrong order. We need the s in the first column.
We perform a swap of column two and column three (which flips the sign to negative), and then a swap of column one and column two (which flips the sign back to positive). Two swaps, two sign changes—the determinant remains unchanged. We have achieved perfect symmetry.

Phase 3

The Geometric Bridge
We now have:
This is where the physics of the problem kicks in. We are given vectors , , and .
The determinant we are looking at is the Scalar Triple Product of these vectors. The problem tells us these vectors are non-coplanar.
Geometrically, this means they span a 3D volume; they do not lie flat on a plane. Therefore, the volume of the parallelepiped they form cannot be zero. This implies that our determinant $\Delta eq 0$.

The Final Victory

Since we know the determinant is not zero, we can safely divide both sides of our equation by it. We are left with the simple, elegant truth:
Therefore, .
You see? We didn't need to expand a single complex polynomial. We used the properties of the determinant to reveal the underlying geometry, and the answer emerged naturally. Keep this mindset—look for the structure, respect the geometry, and the math will always guide you home.

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