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Daily Math Minute

Functions & Their Graphs

Even & Odd Functions

Identifying a function's symmetry algebraically and graphically.

Intermediate20 min lesson3 min readUpdated August 12, 2026Author not yet attributed

Prerequisites

  • Graphing Transformations

Functions with Built-In Symmetry

Before reading on, picture the graph of y = x² reflected over the y-axis. Does the reflected graph look any different from the original? Now picture y = x³ rotated 180° around the origin — does that graph look any different either?

Definition — Even and Odd Functions

A function is even if f(−x) = f(x) for every x — its graph is symmetric across the y-axis. A function is odd if f(−x) = −f(x) for every x — its graph has 180° rotational symmetry about the origin. Most functions are neither.

These algebraic tests aren't arbitrary — they directly encode the symmetries they name. Substituting −x into a function evaluates the mirror-image point across the y-axis. If that mirror-image point lands at the exact same height as the original (f(−x) = f(x)), the graph truly is symmetric across the y-axis — that's what 'even' checks. If it lands at the exact opposite height (f(−x) = −f(x)), the point directly opposite through the origin matches, which is precisely 180° rotational symmetry — that's what 'odd' checks.

Worked Example — Testing a Function for Even or Odd Symmetry

Test f(x) = x⁴ − 3x² + 5 for even/odd symmetry. Substitute −x: f(−x) = (−x)⁴ − 3(−x)² + 5 = x⁴ − 3x² + 5. Since f(−x) = f(x) exactly, this function is even.

Worked Example — Testing a Function That's Neither Even Nor Odd

Test f(x) = x² + x for even/odd symmetry. Substitute −x: f(−x) = (−x)² + (−x) = x² − x. Compare to f(x) = x² + x (not a match) and to −f(x) = −x² − x (also not a match). Since f(−x) equals neither f(x) nor −f(x), this function is neither even nor odd.

This connects directly to polynomial structure from Algebra II: a polynomial built entirely from even-degree terms (like x⁴ − 3x² + 5, degrees 4, 2, and 0) is always even, and one built entirely from odd-degree terms (like x³ − 4x) is always odd — the pattern in the name isn't a coincidence, since each individual even-degree term already satisfies (−x)ⁿ = xⁿ on its own, and each odd-degree term satisfies (−x)ⁿ = −xⁿ on its own.

Function Explorer

Transform: g(x) = a·f(b(x − h)) + k
1
1
0
0
Composition
Analysis (of the transformed function, in view)
y-intercept
(0, 0)
x-intercepts
(-9.42, 0), (-6.28, 0), (-3.14, 0), (0, 0), (3.14, 0), (6.28, 0), (9.42, 0)
Extrema
local min at (-7.85, -1); local max at (-4.71, 1); local min at (-1.57, -1); local max at (1.57, 1); local min at (4.71, -1); local max at (7.85, 1)
Inflection points
(-9.42, 0), (-6.28, 0), (-3.14, 0), (0, 0), (3.14, 0), (6.28, 0), (9.42, 0)
Vertical asymptotes
none found in view
Horizontal asymptotes
none found
Domain
all real numbers in view
Range (estimated)
approximately [-1, 1]

Tip

For a polynomial, check the exponents directly: if every term's exponent is even, the whole polynomial is even; if every term's exponent is odd, the whole polynomial is odd; if the exponents are mixed, it's neither — no substitution needed for that quick check.

Common Mistakes

  • Concluding a function is odd just because it contains a mix of positive and negative terms, without actually testing f(−x).

    Even and odd depend specifically on the exponents' parity (or on directly substituting −x and comparing), not on whether the coefficients happen to be positive or negative.

  • Assuming every function must be either even or odd, since those are the two names given.

    Most functions are neither — even and odd describe two specific kinds of symmetry that many functions simply don't have.

Key Takeaways

  • An even function is symmetric across the y-axis (f(−x) = f(x)); an odd function has 180° rotational symmetry about the origin (f(−x) = −f(x)).
  • Substituting −x directly tests these symmetries algebraically.
  • A polynomial built entirely from even-degree terms is even; one built entirely from odd-degree terms is odd.

Summary

Even and odd symmetry reveal a function's built-in structure without needing to graph it. The next unit applies everything learned about function behavior to polynomials and rational functions of higher degree.

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