Animated Solution for Mathematics - Definite Integration: For x∈(0,5π/2), define f(x)=∫0xtsintdt. Then f has
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Visualized Solution
Defining the Accumulator Function f(x)
Given function: f(x)=∫0xtsintdt
Interval: x∈(0,25π)
Objective: Find points of local maxima and minima for f(x)
Applying the Leibniz Rule
To find extrema, we need the first derivative f′(x).
Using the Leibniz Rule: dxd∫0xg(t)dt=g(x)
Finding f′(x)
Differentiating f(x): f′(x)=dxd∫0xtsintdt
Result: f′(x)=xsinx
Finding Critical Points
Set f′(x)=0 to find critical points.
xsinx=0
Since x>0 in the given interval, x=0.
Solving sinx=0
Equation: sinx=0
Domain: x∈(0,25π) or (0,2.5π)
Solutions: x=π,2π
Visualizing the Derivative
The graph of f′(x)=xsinx crosses the x-axis at π and 2π.
For x∈(0,π), f′(x)>0 (Area is positive).
For x∈(π,2π), f′(x)<0 (Area is negative).
The Second Derivative Test Setup
To confirm maxima/minima algebraically, we use the Second Derivative Test.
First derivative: f′(x)=xsinx
Differentiating again using the Product Rule: dxd(u⋅v)=u′v+uv′
Calculating f′′(x)
f′′(x)=dxd(x)⋅sinx+x⋅dxd(sinx)
f′′(x)=2x1sinx+xcosx
Testing x=π
Substitute x=π into f′′(x).
f′′(π)=2π1sinπ+πcosπ
Since sinπ=0 and cosπ=−1:
f′′(π)=0+π(−1)=−π
Conclusion for x=π
f′′(π)=−π
Since −π<0, the second derivative is negative.
Therefore, f(x) has a local maximum at x=π.
Testing x=2π
Substitute x=2π into f′′(x).
f′′(2π)=22π1sin2π+2πcos2π
Since sin2π=0 and cos2π=1:
f′′(2π)=0+2π(1)=2π
Conclusion for x=2π
f′′(2π)=2π
Since 2π>0, the second derivative is positive.
Therefore, f(x) has a local minimum at x=2π.
Final Answer
Local maximum at x=π
Local minimum at x=2π
Correct Option: 2
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The Sigma Insight: Newton-Leibniz & Reduction Formulas
Solution Diagram
Analyzing the Setup
Welcome, future engineers! Today, we are going to unravel a problem that might look intimidating at first glance, but is actually a beautiful dance of calculus.
We are dealing with an accumulator function defined as:
f(x)=∫0xtsintdt
Imagine this function as a machine that fills a bucket with water. As x increases, the machine adds more water (area) to the bucket. Our goal is to find when the water level is at its highest (local maximum) and when it is at its lowest (local minimum) within the interval x∈(0,5π/2).
The Power of Leibniz
When you see an integral with a variable upper limit, your first instinct might be to try and solve the integral. Stop! Take a breath.
We don't need to find the closed-form expression for the integral. We only need to know how it changes. This is where the Leibniz Rule comes to our rescue.
It tells us that the derivative of an integral with a variable upper limit is simply the integrand evaluated at that limit. Applying this to our function, we get:
f′(x)=xsinx
Finding the Critical Points
Now that we have the derivative, we are in the driver's seat. To find the peaks and valleys, we set f′(x)=0.
This gives us the equation:
xsinx=0
Since our domain is x∈(0,5π/2), we know x is never zero. Thus, the only way for this product to be zero is if sinx=0.
Within our specific interval (0,5π/2), the solutions are:
x=πandx=2π
These are our critical points, the moments where the 'filling' of our bucket changes direction.
The Second Derivative Test
While we could use the First Derivative Test, let's use the Second Derivative Test to be absolutely certain. We differentiate f′(x)=xsinx using the product rule:
f′′(x)=2x1sinx+xcosx
Now, let's test our critical points. At x=π:
f′′(π)=2π1sinπ+πcosπ=0+π(−1)=−π
Because f′′(π)<0, the function is concave down, confirming a local maximum at x=π.
At x=2π:
f′′(2π)=22π1sin2π+2πcos2π=0+2π(1)=2π
Because f′′(2π)>0, the function is concave up, confirming a local minimum at x=2π.
Conclusion
We have successfully navigated the problem! We found a local maximum at x=π and a local minimum at x=2π.
Remember, calculus is not just about memorizing formulas; it is about understanding the behavior of functions. Keep exploring, keep questioning, and keep falling in love with the elegance of mathematics!