Chapter 16: Problem 40
Definite integral as a line integral Suppose that a nonnegative function \(y=f(x)\) has a continuous first derivative on \([a, b] .\) Let \(C\) be the boundary of the region in the \(x y\) -plane that is bounded below by the \(x\) -axis, above by the graph of \(f,\) and on the sides by the lines \(x=a\) and \(x=b .\) Show that $$\int_{a}^{b} f(x) d x=-\oint_{C} y d x.$$
Short Answer
Step by step solution
Parameterize the Curve C
Parameterize the segment along y = f(x)
Parameterize the segment x = b
Parameterize the segment along x-axis
Parameterize the segment x = a
Evaluate the Line Integral
Compile the Results
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Definite Integral
- This integral measures the net area between the graph of \(f(x)\) and the x-axis over the interval \([a, b]\).
- A positive integral value indicates that the majority of the curve is above the x-axis, while a negative value suggests it is below.
- The calculation involves taking the function \(f(x)\) and integrating it over the interval using fundamental integration rules and techniques.
Parameterization
- In our exercise, the curve \(C\) was divided into four parts and each segment was parameterized.
- The parameterization involves setting equations for \(x\) and \(y\) in terms of \(t\), such as \( (x(t), y(t)) \).
- This allows us to calculate integrals by expressing all necessary equations in terms of \(t\).
Curve Integration
- In the given problem, the line integral is written as \( -\oint_C y \, dx \), representing integration around the closed curve \(C\).
- This type of integral is useful for finding quantities like work done by a force field along a path, or the circulation of a field around a loop.
- Each segment of the curve \(C\) contributes to the total value of the line integral, highlighting the importance of careful parameterization and evaluation of each segment.
Differential Equations
- In our scenario, calculating differentials like \(dy = f'(x) dx\) comes into play during the integration process.
- Solving these equations helps us find functions that describe processes and predict future behavior.
- Applications include everything from physics to finance, where they model real-world systems.