Reviewed and Verified by:
Dr. Anya Sharma, Ph.D. Mathematics
Specialist in Numerical Analysis and Computational Methods.
Use the **Integral Calculator** to accurately compute the definite integral of a function over a given interval. This tool utilizes the robust **Trapezoidal Rule** to provide a numerical approximation along with all intermediate calculation steps for verification.
Integral Calculator Show Steps
N must be a positive even integer for best accuracy.
Detailed Calculation Steps (Trapezoidal Rule)
integral calculator show steps Formula
The calculator uses the Trapezoidal Rule for numerical approximation, which provides high accuracy for definite integrals:
Where $\Delta x$ (or $h$) is the step size: $h = \frac{b-a}{N}$ and $x_i = a + i \cdot h$.
Formula Sources: Wolfram MathWorld – Trapezoidal Rule | Wikipedia – Trapezoidal Rule
Variables Explained
- Function $f(x)$ (The Integrand): The mathematical expression to be integrated (e.g., $x^2$, $\sin(x)$).
- Lower Bound ($a$): The starting point of the integration interval.
- Upper Bound ($b$): The ending point of the integration interval. Must be greater than $a$.
- Number of Partitions ($N$): The number of trapezoids used to approximate the area. A higher $N$ yields a more accurate result.
Related Calculators
- Derivative Calculator with Steps
- Limit Solver Calculator
- Riemann Sum Calculator
- Area Under Curve Calculator
What is integral calculator show steps?
An Integral Calculator is an essential tool in calculus that computes the integral of a given function. When it provides “show steps,” it means it doesn’t just give the final answer, but details the method used to arrive at that answer, which is crucial for learning and verification.
In the context of definite integrals (integrals with upper and lower bounds), the calculation typically represents the area under the curve of the function. For practical and computational reasons, this calculator uses numerical integration techniques, specifically the Trapezoidal Rule, which approximates the area by dividing the region into many small trapezoids.
Showing the steps allows users to understand how the bounds, the function, and the number of partitions (N) contribute to the final approximation, bridging the gap between theoretical calculus and computational math.
How to Calculate $\int_a^b f(x) dx$ (Example)
Let’s calculate $\int_0^1 x^2 dx$ using the Trapezoidal Rule with $N=4$ partitions.
- Define Variables: $f(x) = x^2$, $a=0$, $b=1$, $N=4$.
- Calculate Step Size ($h$): $h = \frac{b-a}{N} = \frac{1-0}{4} = 0.25$.
- Determine $x_i$ Values: The points are $x_0=0, x_1=0.25, x_2=0.5, x_3=0.75, x_4=1$.
- Evaluate $f(x_i)$: Calculate the function value at each point:
- $f(x_0) = (0)^2 = 0$
- $f(x_1) = (0.25)^2 = 0.0625$
- $f(x_2) = (0.5)^2 = 0.25$
- $f(x_3) = (0.75)^2 = 0.5625$
- $f(x_4) = (1)^2 = 1$
- Apply Trapezoidal Formula: $$\frac{0.25}{2} [f(x_0) + 2(f(x_1) + f(x_2) + f(x_3)) + f(x_4)]$$ $$= 0.125 [0 + 2(0.0625 + 0.25 + 0.5625) + 1] = 0.125 [0 + 2(0.875) + 1]$$ $$= 0.125 [1.75 + 1] = 0.125 \times 2.75 = 0.34375$$
The calculated integral is $0.34375$. The exact value is $1/3 \approx 0.33333$, demonstrating the power of numerical approximation.
Frequently Asked Questions (FAQ)
Symbolic integration (finding the antiderivative) is extremely complex to implement in a simple web script. The Trapezoidal Rule provides a fast, robust, and highly accurate numerical approximation that is sufficient for most real-world applications and allows for clear, step-by-step documentation.
N is the number of sub-intervals used to divide the area under the curve. The area of each sub-interval is approximated by a trapezoid. Generally, the larger the value of N, the smaller the error and the more accurate the final result, though computation time increases slightly.
Yes. You can use standard JavaScript math functions and constants such as `Math.sin(x)`, `Math.cos(x)`, `Math.exp(x)`, `Math.log(x)` (natural log), `Math.PI`, and `Math.E` in your function input string.
The accuracy depends heavily on the ‘Number of Partitions (N)’. With a high $N$ (e.g., 1,000 or 10,000), the Trapezoidal Rule approximation is often accurate to many decimal places, matching the exact analytical solution very closely.