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Inequality

Read strict and weak inequalities, reverse order correctly for negative multipliers, and translate a profit threshold into allowed whole-share trade sizes.

An inequality compares two quantities by order: less than (<<), greater than (>>), less than or equal to (≤\le), or greater than or equal to (≥\ge). Solving an inequality means finding all allowed inputs that make the comparison true. In finance, this turns a statement such as “net profit must be positive” into a rule for admissible trade sizes.

The distinction at equality matters:

StatementMathematical formIs the boundary included?
Profit is positiveΠ>0\Pi>0No: strict inequality
Profit is nonnegativeΠ≥0\Pi\ge0Yes: weak inequality
Weight is at most 60%w≤0.60w\le0.60Yes
Weight is below 60%w<0.60w<0.60No
For a real variable, x>3x>3 describes the interval (3,∞)(3,\infty), whereas x≥3x\ge3 describes [3,∞)[3,\infty). A number-line drawing uses an open endpoint for the first and a filled endpoint for the second. Infinity is unboundedness, not an attainable endpoint. OpenStax explains these endpoint conventions.

From a fee to a trade-size rule

Suppose a hypothetical executed trade earns USD 1.50 per share before a USD 20 fixed fee. Assume that per-share margin stays constant with quantity; price uncertainty, market impact and other charges are omitted. Let qq count shares, restricted to positive integers for trades that incur the fee. Net profit in USD is
Π(q)=1.5q−20,q∈{1,2,3,…}.\Pi(q)=1.5q-20,\qquad q\in\{1,2,3,\ldots\}.

The units agree: USD per share times shares gives USD, from which we subtract a USD fee. For nonnegative profit,

1.5q−20≥0  ⟺  1.5q≥20  ⟺  q≥403=1313.1.5q-20\ge0 \iff 1.5q\ge20 \iff q\ge\frac{40}{3}=13\tfrac13.
The linear equation 1.5q−20=01.5q-20=0 locates the boundary. The inequality selects a side of it. Intersecting that side with the allowed quantities gives q∈{14,15,16,…}q\in\{14,15,16,\ldots\}. At 13 shares the result is −USD 0.50; at 14 it is +USD 1.00. There is no whole-share trade with exactly zero profit in this model.
Synthetic executed-trade profit in USD against whole shares. Continuous break-even is 13⅓ shares; 13 shares loses USD 0.50 and 14 shares earns USD 1.00. Dots show allowed integer quantities.
Synthetic executed-trade profit in USD against whole shares. Continuous break-even is 13⅓ shares; 13 shares loses USD 0.50 and 14 shares earns USD 1.00. Dots show allowed integer quantities.
Original synthetic fee model. The dashed line locates the continuous boundary; dots mark whole-share trade sizes. The chart shows the region from 10 to 17 shares, not the full positive-integer domain.
Requiring strictly positive profit gives q>40/3q>40/3. It happens to produce the same first whole-share trade, 14, because the boundary is not an integer. Strict and weak inequalities remain different: q>10q>10 starts at 11 whole shares, while q≥10q\ge10 starts at 10.
Choosing no trade has zero P&L. It is a separate choice outside this fee-bearing formula: substituting zero into that formula would charge a fee for a trade that was never executed. Thus 14 is the smallest profitable executed trade, while doing nothing is also available if the requirement merely permits zero P&L. The calculation identifies a threshold under assumed economics; it does not establish that taking the trade is desirable.

Rearrange without changing the answer

Adding or subtracting the same quantity on both sides preserves order. Multiplying or dividing by a positive number also preserves it. Multiplying or dividing by a negative number reverses it:
−2x≤6  ⟺  x≥−3.-2x\le6\iff x\ge-3.

Geometrically, multiplication by a negative number reflects the number line. For example, 2<52<5 becomes −2>−5-2>-5. Equality, if allowed, stays allowed when the direction reverses.

An unknown sign requires cases. For real aa and xx, solving ax≤6ax\le6 gives
{x≤6/a,a>0,x≥6/a,a<0,every real x,a=0.\begin{cases} x\le6/a,& a>0,\\ x\ge6/a,& a<0,\\ \text{every real }x,& a=0. \end{cases}

The last case follows from 0≤60\le6; division by zero is unavailable. If the original variable has a restricted domain, keep that restriction in every case. Do not divide by a variable whose sign is unknown as though it were positive.

Inequalities often act as constraints. Their joint solutions form a feasible set: every condition, including integer quantities and units, must hold together. Finding that set is different from choosing its best member.
For further work with units, fee expressions and break-even equations, see Arithmetic, Algebra, Equations and Functions. Its public preview introduces the lesson; full access requires membership.

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  • algebra
  • inequalities
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