Sigma Percentile
JEE Advanced 1980
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: Find the solution set of the system .

Visualized Solution

  • Given system: and
  • Constraints:

  • From equation (1):
  • Isolating :

  • Since and , the term
  • Therefore,

  • From equation (2):
  • Rearranging:

  • Since and , then
  • This implies , which simplifies to

  • Upper Bound:
  • Lower Bound:
  • The only value satisfying both is

  • Substitute into

  • Since and , the sum is only possible if and

  • Substitute into

  • Final Solution Set:
  • Key Takeaway: Non-negativity constraints can restrict an underdetermined system to a single unique point.

The Sigma Insight: Solution of System of Linear Equations (Matrix Method and Cramer's Rule)

Solution Diagram

The Art of the Squeeze

Solving Underdetermined Systems
Welcome, fellow traveler of the JEE landscape. You look at this system: and . Your heart sinks. Four variables, two equations.
The ghost of linear algebra past whispers, "This is underdetermined; there must be infinite solutions." But wait! Before you rush to write down a parametric solution, look closer.
The constraints are not just decorations; they are the keys to the kingdom. In this article, we will learn how to use these constraints to "squeeze" the solution out of thin air.

The Illusion of Underdetermination

Usually, when we see fewer equations than variables, we expect a line, a plane, or a higher-dimensional manifold of solutions. However, in competitive exams like the JEE, constraints are often the hidden boundary conditions that turn an infinite problem into a unique one.
We are looking for a point in the first orthant of 4D space. Let's see how we can isolate our variables.

The First Bridge

Isolating
Let's focus on the first equation: . We want to isolate because it appears in both equations. Rearranging this, we get:
Now, apply the constraints. We know that and . Therefore, the term must be greater than or equal to zero.
If you subtract a non-negative number from , the result must be less than or equal to . Thus, we have our first crucial inequality:

The Second Bridge

The Lower Bound
Now, let's shift our attention to the second equation: . Let's rearrange this to isolate the term:
Again, look at the constraints. Since and , the expression is non-negative. This means is equal to plus some non-negative value.
Therefore, must be greater than or equal to . Dividing by , we get:

The Squeeze

Look at what we have achieved! We have established that and . On the real number line, there is only one point that satisfies both conditions simultaneously: .
We have successfully "squeezed" the variable into a single, unique value. This is the power of constraints in action.

The Domino Effect

Now that we have , the rest of the system collapses like a row of dominoes. Substitute back into our first equation:
As we discussed in our FAQ, the sum of two non-negative numbers can only be zero if both are zero. Thus, and .
Finally, substitute and into the second equation:

Conclusion

We have arrived at the unique solution . It is a beautiful result.
What initially looked like a daunting, underdetermined system was actually a perfectly constrained puzzle. Always remember: when you see constraints in a system of equations, don't ignore them.
They are often the most important part of the problem, waiting to be used to simplify your path to the answer. Keep practicing, keep visualizing, and keep falling in love with the elegance of mathematics!

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