# Less x<y

yields True if is determined to be less than .

x1<x2<x3

yields True if the form a strictly increasing sequence.

# Details • Less is also known as strong inequality or strict inequality.
• Less gives True or False when its arguments are real numbers.
• Less does some simplification when its arguments are not numbers.
• For exact numeric quantities, Less internally uses numerical approximations to establish numerical ordering. This process can be affected by the setting of the global variable \$MaxExtraPrecision.

# Examples

open allclose all

## Basic Examples(2)

Compare numbers:

Represent an inequality:

## Scope(9)

### Numeric Inequalities(7)

Inequalities are defined only for real numbers: Compare rational numbers:

Approximate numbers that differ in at most their last eight binary digits are considered equal:

Compare an exact numeric expression and an approximate number:

Compare two exact numeric expressions; a numeric test may suffice to prove inequality:

Disproving this inequality requires symbolic methods:

Symbolic and numeric methods used by Less are insufficient to disprove this inequality: Use RootReduce to decide the sign of algebraic numbers:

Numeric methods used by Less do not use sufficient precision to prove this inequality: RootReduce proves the inequality using exact methods:

Increasing \$MaxExtraPrecision may also prove the inequality:

### Symbolic Inequalities(2)

Symbolic inequalities remain unevaluated, since x may not be a real number:

Use Refine to reevaluate the inequality assuming that x is real:

A symbolic inequality:

Use Reduce to find an explicit description of the solution set:

Use FindInstance to find a solution instance:

Use Minimize to optimize over the inequality-defined region: Use Refine to simplify under the inequality-defined assumptions:

## Properties & Relations(12)

The negation of two-argument Less is GreaterEqual:

The negation of three-argument Less does not simplify automatically:

Use LogicalExpand to express it in terms of two-argument GreaterEqual:

This is not equivalent to three-argument GreaterEqual:

When Less cannot decide inequality between numeric expressions it returns unchanged: FullSimplify uses exact symbolic transformations to disprove the inequality:

Negative[x] is equivalent to :

Use Reduce to solve inequalities:

Use FindInstance to find solution instances:

Use RegionPlot and RegionPlot3D to visualize solution sets of inequalities:

Inequality assumptions:

Use Minimize and Maximize to solve optimization problems constrained by inequalities: Use NMinimize and NMaximize to numerically solve constrained optimization problems:

Integrate a function over the solution set of inequalities:

Use Median, Quantile, and Quartiles to the  greatest number(s):

## Possible Issues(3)

Inequalities for machine-precision approximate numbers can be subtle:

The strict inequality is based on extra digits:

Arbitrary-precision approximate numbers do not have this problem:

Thanks to automatic precision tracking, Less knows to look only at the first 10 digits:

In this case, inequality between machine numbers gives the expected result:

The extra digits in this case are ignored by Less: