Historical Context & Motivation
Comparing functions is one of the oldest themes in mathematics. Long before formal algebra existed, ancient scholars needed to know when one quantity exceeded another — whether the supply of grain surpassed the demand, or whether one trajectory cleared a wall. The idea of function inequalities — asking when g(x) ≥ f(x) — grew naturally from these practical concerns and became a cornerstone of modern analysis, optimisation, and applied mathematics.
The central question this lesson addresses is deceptively simple: given two functions f and g, for which values of x is g(x) ≥ f(x)? Answering this question requires both graphical intuition and algebraic precision — two skills that the IB HL curriculum expects you to develop hand in hand.
Core Principles & Definitions
Before diving into techniques, you need a clear understanding of the foundational ideas behind function inequalities. These principles connect what you already know about solving equations to the richer question of solving inequalities between entire functions.
Intersection Points as Boundaries
The Difference Function
Graphical Interpretation
Interval Notation for Solutions
Domain Awareness
Visual Explanation — Graphical Method
The graphical method is the most intuitive approach and is always available on your GDC. By plotting both functions on the same axes, you can directly see where one curve sits above the other. The diagram below shows f(x) = x² and g(x) = 2x + 3. The shaded region highlights where g(x) ≥ f(x), that is, where the line is on or above the parabola.
From the diagram, you can read the solution directly: the line sits on or above the parabola for −1 ≤ x ≤ 3. The two intersection points — found by solving x² = 2x + 3 — act as the boundaries of the solution interval. Between the intersections, a single test point (say, x = 0) confirms that g(0) = 3 > 0 = f(0), verifying that the line is indeed above the parabola throughout the interval.
Mathematical Framework — The Analytical Method
The analytical (algebraic) method provides exact answers without relying on a graph. The strategy has three stages: rearrange, find critical values, and test intervals. Every function inequality you encounter in AHL 2.15 can be attacked with this framework.
Detailed Breakdown — Sign Diagrams & Interval Testing
A sign diagram (also called a sign chart or number-line analysis) is a visual tool that organises the test-point information. It places the critical values on a number line and records the sign of h(x) = g(x) − f(x) in each resulting interval. This makes it easy to read off the solution set at a glance.
The process shown above can be summarised in a table for quick reference. Each row in the table corresponds to one interval between consecutive critical values.
| Interval | Test Point | h(x) Value | Sign | Include? |
|---|---|---|---|---|
| (−∞, −1) | x = −2 | −(4) + (−4) + 3 = −5 | Negative | No |
| [−1, 3] | x = 0 | 0 + 0 + 3 = 3 | Positive | Yes ✓ |
| (3, ∞) | x = 5 | −25 + 10 + 3 = −12 | Negative | No |
Worked Example — Full Analytical Solution
Let's work through a complete example involving non-polynomial functions. Find all values of x for which eˣ ≥ x + 1, i.e., determine where the exponential function is at least as large as the linear function g(x) = x + 1.
Graphical vs Analytical — Strengths & Limitations
Both the graphical and analytical methods have their place in your IB toolkit. Understanding when to use each one — and when to use them together — will help you work more efficiently and score more marks on examinations.
| Criterion | Graphical Method | Analytical Method |
|---|---|---|
| Precision | Approximate — limited by screen resolution and scale | Exact — gives solutions in closed form when algebraically solvable |
| Speed | Fast for an overview; use the GDC 'intersect' tool | Can be slow for complex functions, but gives rigorous proof |
| Applicability | Works for any pair of functions that can be graphed | Requires h(x) = 0 to be solvable — may need numerical methods otherwise |
| IB Exam Use | Accepted if sketch is shown with labelled points | Expected for 'show that' or 'prove' questions |
| Risk of Error | Misreading scale, missing intersections outside the window | Algebraic mistakes, forgetting domain restrictions |
Connections to Advanced Theory
Function inequalities do not exist in isolation; they connect to several topics you will encounter later in the HL course and beyond. Recognising these links deepens your understanding and prepares you for university-level mathematics.
| This Lesson | Advanced Extension | Where You'll See It |
|---|---|---|
| Finding where g(x) ≥ f(x) | Optimisation — finding max/min of g(x) − f(x) | AHL 5.9 (Calculus optimisation) |
| Area between curves | ∫[a,b] (g(x) − f(x)) dx gives the enclosed area | AHL 5.12 (Applications of integration) |
| Sign of h(x) = g(x) − f(x) | Differential inequalities and stability analysis | University differential equations |
| Interval notation solutions | Set-builder notation, measure theory | University real analysis |
Perhaps the most powerful forward connection is to integration. When you know that g(x) ≥ f(x) on [a, b], the integral ∫ₐᵇ [g(x) − f(x)] dx gives the exact area of the region between the two curves. The sign analysis you learn in this topic is therefore a prerequisite for correctly setting up area integrals — you must always integrate the upper function minus the lower function.
Practice Problems
Lesson Summary
To solve a function inequality of the form g(x) ≥ f(x), begin by forming the difference function h(x) = g(x) − f(x) and rewrite the problem as h(x) ≥ 0. Find the critical values where h(x) = 0 — these are the intersection points of the original graphs. Use a sign diagram with test points to determine the sign of h in each interval, then express the solution in interval notation, remembering to use square brackets for ≥ (non-strict) and round brackets for > (strict).
The graphical method — plotting both functions and reading where one sits above the other — provides intuition and a quick check. The analytical method delivers exact answers and is required for proof-style questions. In practice, combining both approaches is the most reliable strategy. Always check the domain of both functions before finalising your answer, and connect your work to broader ideas like area between curves in integration.