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MATLAB Operators and Expressions

Arithmetic, relational, logical, and element-wise operators in MATLAB, and how operator precedence governs expression evaluation.

FoundationsBeginner8 min readJul 10, 2026
Analogies

MATLAB Operators and Expressions

MATLAB supports the standard arithmetic operators +, -, *, /, and ^, but because every variable is a matrix by default, * performs true matrix multiplication (following linear-algebra rules on dimensions) rather than multiplying corresponding elements — attempting A*B on two matrices whose inner dimensions don't match throws a dimension-mismatch error, which is often the first stumbling block for newcomers expecting elementwise behavior.

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Cricket analogy: Expecting * to multiply elementwise when it actually performs matrix multiplication is like a new fan assuming a partnership just adds two batters' scores, when in reality a partnership's value depends on how their strike rotation and running between wickets combine -- the rules aren't simply position-by-position.

Element-wise vs Matrix Operators

To force elementwise behavior, MATLAB provides dot-prefixed operators: .* for elementwise multiplication, ./ for elementwise division, and .^ for elementwise exponentiation — so [1 2 3] .* [4 5 6] yields [4 10 18] (each pair multiplied independently), which is the operation newcomers usually actually want when working with vectors of measurements rather than performing linear algebra.

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Cricket analogy: Elementwise multiplication with .* is like multiplying each batter's individual strike rate by their own separate bonus multiplier, one player at a time, rather than combining the whole team's stats through some structural partnership formula.

matlab
A = [1 2; 3 4];
B = [5 6; 7 8];

A * B      % true matrix multiplication (2x2 result via row-column dot products)
A .* B     % elementwise multiplication: [5 12; 21 32]

v = [1 2 3];
w = [4 5 6];
v .* w     % [4 10 18]
v ./ w     % [0.25 0.4 0.5]
v .^ 2     % [1 4 9]

% Colon operator for ranges
1:2:9      % [1 3 5 7 9]  -- start:step:stop

&& and || require scalar logical operands and will throw an error if given a full array -- use & and | (or all()/any()) when you need to combine conditions across an entire array.

Relational and Logical Operators

Relational operators (==, ~=, <, <=, >, >=) compare elementwise and return a logical array the same size as the operands, while & and | perform elementwise logical AND/OR across whole arrays; && and ||, by contrast, only work on scalar conditions and short-circuit — meaning the second operand isn't even evaluated if the first already determines the result, which matters when the second operand would otherwise error (like checking ~isempty(x) && x(1) > 0).

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Cricket analogy: Short-circuit && is like an umpire not bothering to check the third-umpire replay for a run-out if the batter was already given out for handling the ball on the first appeal -- once the outcome is decided, the second check is skipped entirely.

Operator Precedence and the Colon Operator

MATLAB follows standard mathematical operator precedence — parentheses first, then exponentiation (^), then unary plus/minus, then multiplication/division, then addition/subtraction, then relational operators, then &, then | — and the colon operator start:step:stop (or start:stop for a default step of 1) generates evenly spaced row vectors that are used constantly for indexing and loop ranges, so 1:5 produces [1 2 3 4 5] and 10:-2:0 produces [10 8 6 4 2 0].

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Cricket analogy: Operator precedence is like the fixed order of a super-over decision tree -- boundary count is checked before wickets lost, which is checked before the coin toss -- MATLAB resolves ^ before * before + in that same fixed, non-negotiable order.

Unary minus binds tighter than you might expect relative to ^: -2^2 evaluates to -4, not 4, because MATLAB computes 2^2 first and then negates the result -- if you actually want (-2)^2, you must add the parentheses explicitly.

  • * performs true matrix multiplication by default; use .*, ./, .^ for elementwise operations.
  • Relational operators return logical arrays the same size as their operands.
  • &/| work elementwise across whole arrays; &&/|| require scalars and short-circuit evaluation.
  • Operator precedence follows standard math rules: parentheses, ^, unary sign, */, +-, relational, &, |.
  • The colon operator start:step:stop generates evenly spaced vectors used constantly for indexing and loops.
  • -2^2 equals -4 in MATLAB because exponentiation binds tighter than unary minus.
  • Mismatched matrix dimensions in * throw an error -- a common first bug for MATLAB newcomers.

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