Integration to Find Area Under a Curve

Integration to Find Area Under a Curve

Definition

  • Integration is a process associated with finding the area under a curve.
  • The definite integral of a function can be interpreted as the area under the graph of the function and above the x-axis, bounded by two vertical lines.

Technique

  • To utilize integration for finding areas, we identify the function that represents the curve, decide the limits of the integration which are the x-coordinates of the endpoints along the x-axis, and use the Fundamental Theorem of Calculus to evaluate the definite integral.
  • We use definite integrals to find the net area between the function and the x-axis from a to b.
  • To find the total area under a curve where the function dips below the x-axis, we must split the integral at the x-coordinates where the function crosses the x-axis, and take the absolute value of each integral.

Example of Using Integration to Find Area

  • Start by identifying the integral. For instance, if you have the function f(x) = x^2 from 0 to 2, the integral would be ∫f(x) dx from 0 to 2.
  • Next, find the antiderivative F(x) of f(x). In this case, the antiderivative of x^2 is (1/3)x^3.
  • Now, apply the Fundamental Theorem of Calculus, which in basic terms means subtract the antiderivative evaluated at the lower limit from the antiderivative evaluated at the upper limit. That is, F(2)-(F(0)) = (1/3)2^3 - (1/3)0^3 = 8/3 units^2 which is the area under the curve.

Common Mistakes in Using Integration to Find Area

  • Neglecting to take the absolute value of each integral when the function falls below the x-axis.
  • Forgetting to subtract the lower limit value from the upper limit value after finding the antiderivative.

Applications of Integration to Find Area Under a Curve

  • The fundamental application of integration is to calculate the area under a curve, which is crucial in physical sciences and engineering such as in determining the displacement of an object given its velocity function.
  • Other applications include calculating work done, finding centroid, moment of inertia and much more. Many economic and statistical models also rely on integration.