Roots of Polynomials

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What Are Roots of a Polynomial?

A root (or zero) of a polynomial is a value of x that makes the polynomial equal to zero.

If f(x) is a polynomial, then r is a root if:

f(r)=0f(r)=0

Step 1: Understanding Polynomials

A polynomial of degree n can be written as:

P(x)=anxn+an1xn1+...+a1x+a0P(x)=a_{n}x^{n}+a_{n-1}x^{n-1}+...+a_{1}x+a_{0}

We are looking for all values of 𝑥 x such that 𝑃(𝑥) =0.

Step 2: Methods for Finding Roots

1. Factoring (for simple polynomials)

x25x+6=0(x2)(x3)=0x=2,3x^{2}-5x+6=0\Rightarrow (x-2)(x-3)=0\Rightarrow x=2,3

2. Quadratic Formula (for degree 2):

x=b±b24ac2ax=\frac{-b\pm \sqrt{b^{2}-4ac}}{2a}

3. Numerical Methods (for degree > 2)

We use computational tools (like NumPy or SymPy) to find approximate or exact roots.

Step 3: Python Implementation

We’ll use both NumPy (numerical roots) and SymPy (symbolic exact roots).

Example 1: Find roots of a cubic polynomial

Polynomial:

P(x)=2x33x211x+6P(x)=2x^{3}-3x^{2}-11x+6

With NumPy (numerical)

Output:

With SymPy (exact/symbolic)

Output:

Example 2: Complex Roots

Polynomial:

P(x)=x2+4x+5P(x)=x^{2}+4x+5

Using SymPy:

Output:

Summary: When to Use What

Degree
Method
Python Tool

1

Linear Solve

SymPy

2

Quadratic

SymPy or Manual

3+

Numerical

NumPy

Any

Symbolic

SymPy

Plotting the Polynomial

Output:

Keywords

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