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Integer Root Theorem Calculator Online

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The Integer Root Theorem is vital for finding roots of polynomial equations with integer coefficients. It states that any root of a polynomial P(x) = a_n x^n + a_(n-1) x^(n-1) + … + a_1 x + a_0 must be a factor of the constant term a_0, and the leading coefficient a_n must divide any potential root. This calculator uses the theorem to predict potential roots based on the polynomial’s coefficients, providing a list of all possible integer roots.

Formula of Integer Root Theorem Calculator

To use the Integer Root Theorem effectively, follow these detailed steps:

  1. Identify the Polynomial: Start with the polynomial equation P(x) = a_n x^n + a_(n-1) x^(n-1) + ... + a_1 x + a_0.
  2. Factors of the Constant Term: Calculate all factors of the constant term a_0.
  3. Factors of the Leading Coefficient: Similarly, determine the factors of the leading coefficient a_n.
  4. Calculate Possible Roots: The possible integer roots are the ratios of the factors of a_0 to the factors of a_n.
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User-Friendly Table

Here’s a table designed to help users apply the Integer Root Theorem without performing detailed calculations each time:

PolynomialPotential Roots
x^2 - 5x + 61, 2, 3
x^3 - 3x^2 + 2x0, 1, 2

This table serves as a quick reference to understand typical results from common polynomials.

Example of Integer Root Theorem Calculator

Consider the polynomial x^2 - 7x + 10. Applying the Integer Root Theorem:

  • Factors of 10 (constant term): ±1, ±2, ±5, ±10
  • Factors of 1 (leading coefficient): ±1
  • Possible roots based on the theorem: ±1, ±2, ±5, ±10
  • By substitution into the polynomial, we find that 2 and 5 are actual roots.

Most Common FAQs

Q2: Can this calculator handle high-degree polynomials?

Yes, the Integer Root Theorem Calculator is capable of handling polynomials of any degree as long as the coefficients are integers.

Q3: Is there a limit to the number of coefficients I can input?

No, users can input as many coefficients as needed, from simple linear equations to complex higher-degree polynomials.

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