Animated Solution for Mathematics - Differentiation: Let A=[aij] be a 3×3 matrix, where aij=⎩⎨⎧1,−x,2x+1,if i=jif ∣i−j∣=1otherwise. Let a function f:R→R be defined as f(x)=det(A). Then the sum of maximum and minimum values of f on R is equal to:
Select Answer:
Visualized Solution
Understanding Matrix A
Matrix A=[aij]3×3 is defined by piecewise conditions:
To find extrema, differentiate f(x) with respect to x:
f′(x)=dxd(4x3−4x2−4x)
f′(x)=12x2−8x−4
Solving for Critical Points
Set f′(x)=0 to find critical points:
4(3x2−2x−1)=0
(3x+1)(x−1)=0
Critical points: x=1 and x=−31
Evaluating Local Minimum
Substitute x=1 into f(x):
f(1)=4(1)3−4(1)2−4(1)
f(1)=−4 (Local Minimum)
Evaluating Local Maximum
Substitute x=−31 into f(x):
f(−31)=4(−271)−4(91)−4(−31)
f(−31)=2720 (Local Maximum)
Calculating the Sum
Sum of maximum and minimum values:
Sum=2720+(−4)
Sum=2720−108=−2788
Conclusion
Final Answer:
The sum of maximum and minimum values is −2788.
Matches Option 4.
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The Sigma Insight: Maxima and Minima
Solution Diagram
Analyzing the Setup
Imagine you are standing before a blank 3×3 grid. The problem provides a set of rules, a piecewise definition that acts as our architectural blueprint. We are not just filling in numbers; we are building a mathematical object.
The diagonal elements, where i=j, are all 1. The elements adjacent to this diagonal, where the absolute difference ∣i−j∣=1, are all −x. Finally, the corners, where the conditions do not apply, are 2x+1.
When you lay this out, you get the following matrix:
A=1−x2x+1−x1−x2x+1−x1
This matrix is symmetric, elegant, and ready for us to unlock its secrets.
The Heartbeat
Expanding the Determinant
Now, we need to find the function f(x)=det(A). This is the heartbeat of the problem. We expand along the first row, being systematic to avoid errors.
This looks like a mess, but watch how it cleans up. The first part is (1−x2). The second part involves the product of −x and (−x+2x2+x), which simplifies significantly.
The third part, (2x+1)(x2−2x−1), is where you must be vigilant with your signs. After grouping all the like terms, we arrive at a clean, powerful cubic polynomial:
f(x)=4x3−4x2−4x
This is the function whose peaks and valleys we must now conquer.
The Search for Peaks
Calculus to the Rescue
We have our function, but we need its extrema. This is where calculus becomes our compass. We need to find where the slope of the tangent is zero.
We differentiate f(x) with respect to x:
f′(x)=dxd(4x3−4x2−4x)=12x2−8x−4
Setting f′(x)=0 gives us the critical points. We factor out the 4:
4(3x2−2x−1)=0
This factors into (3x+1)(x−1)=0. Our critical points are x=1 and x=−31. These are the points where our function turns around.
The Final Calculation
Bringing it Home
Now, we evaluate the function at these critical points to find the local minimum and maximum. For x=1, we find:
f(1)=4(1)3−4(1)2−4(1)=−4
This is our local minimum. For x=−31, we calculate: