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How to know if a polynomial is linear?

Published in Polynomial Identification 4 mins read

A polynomial is linear if the highest power (or exponent) of its variable is 1.

Understanding Linear Polynomials

A linear polynomial is a specific type of polynomial characterized by its highest degree. For a polynomial to be considered linear, the greatest exponent of its variable must be exactly 1. This means that if you examine all the terms in the polynomial, the variable will never be raised to a power higher than one (e.g., no $x^2$, $y^3$, etc.).

The general form of a linear polynomial in one variable, say $x$, is $ax + b$, where:

  • $a$ and $b$ are real numbers.
  • $a$ is not equal to zero ($a \neq 0$). If $a$ were zero, the term $ax$ would disappear, leaving just $b$, which is a constant polynomial (degree 0), not a linear one.
  • The variable $x$ has an implicit exponent of 1 (i.e., $x^1$).

Key Characteristics to Identify a Linear Polynomial

When looking at a polynomial, you can quickly determine if it's linear by checking these characteristics:

  • Highest Exponent is One: This is the most crucial identifying factor. Look at all the variable terms; the largest exponent you find should be 1.
  • No Higher Powers: You will not see terms like $x^2$ (x-squared), $y^3$ (y-cubed), or any variable raised to a power greater than 1.
  • No Variables in Denominators or Roots: A polynomial by definition cannot have variables in the denominator (like $1/x$) or under a root sign (like $\sqrt{x}$).
  • Graph is a Straight Line: When plotted on a coordinate plane, a linear polynomial always forms a straight line. This visual representation is why they are called "linear."

Examples of Linear Polynomials

Here are some common examples of linear polynomials:

  • $x + 5$: Here, the variable $x$ has an exponent of 1.
  • $2y - 3$: The variable $y$ has an exponent of 1.
  • $-4z$: The variable $z$ has an exponent of 1.
  • $\frac{1}{2}m + 7$: The variable $m$ has an exponent of 1.
  • $p$: A simple variable term, where $p^1$ is implied.

Examples of Non-Linear Polynomials (For Contrast)

Understanding what is not a linear polynomial can also help in identification:

  • $x^2 + 3x - 1$: This is a quadratic polynomial because the highest exponent is 2.
  • $y^3 - 7$: This is a cubic polynomial because the highest exponent is 3.
  • $5$: This is a constant polynomial (degree 0) because there is no variable, or you can think of it as $5x^0$.
  • $\frac{1}{x} + 2$: Not a polynomial because the variable is in the denominator.
  • $\sqrt{t} - 9$: Not a polynomial because the variable is under a square root ($t^{1/2}$).

How to Determine the Degree of a Polynomial

To definitively know if a polynomial is linear, you must determine its degree. The degree of a polynomial is the highest exponent of the variable in any of its terms.

Follow these steps:

  1. Examine Each Term: Look at every individual part of the polynomial that is separated by addition or subtraction.
  2. Identify Variable Exponents: For each term containing a variable, note down the exponent of that variable. If a variable doesn't have an explicitly written exponent, its exponent is 1 (e.g., $x$ is $x^1$). For constant terms (numbers without variables), the variable's exponent is considered 0 (e.g., $5$ is $5x^0$).
  3. Find the Highest Exponent: Compare all the exponents you identified in step 2. The largest one is the degree of the entire polynomial.
  4. Check for Linearity: If the highest exponent (the degree) is 1, then the polynomial is linear.

Here's a table illustrating the process:

Polynomial Terms Exponents of Variable in Each Term Highest Exponent (Degree) Linear?
$3x + 7$ $3x$, $7$ $x^1$, $x^0$ 1 Yes
$5y - 2$ $5y$, $-2$ $y^1$, $y^0$ 1 Yes
$x^2 - 4x + 1$ $x^2$, $-4x$, $1$ $x^2$, $x^1$, $x^0$ 2 No
$8$ $8$ $x^0$ 0 No
$w^3 + 2w - 5$ $w^3$, $2w$, $-5$ $w^3$, $w^1$, $w^0$ 3 No

By consistently applying these steps, you can accurately identify whether any given polynomial is linear.

Learn more about polynomials and their various forms by exploring general polynomial definitions.