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From freem


This conversation was exported from ChatGPT[1]

gpt-5-2[edit | edit source]

User: Imagine you wrote a guest blog post including formulas of the form EX and the site owner replied"I went in and changed …[edit | edit source]

Imagine you wrote a guest blog post including formulas of the form E[X] and the site owner replied"I went in and changed all your brackets to parentheses, just because otherwise I fear that some readers will get the impression that brackets have some technical meaning in probability that is different from parentheses"

Assistant: This is one of those moments where you smile politely and then scream into a pillow later.[edit | edit source]

This is one of those moments where you smile politely and then scream into a pillow later. 🙂

Short answer: the site owner is wrong, and in a subtle but important way.

Square brackets do have technical meaning[edit | edit source]

In probability theory, writing

E[X]E[X]E[X] is not a stylistic choice. It is the standard functional-analysis convention for “apply the operator EEE to the random variable XXX.” The brackets visually separate the operator from its argument.

This is exactly the same reason we write

  • Var[X]\mathrm{Var}[X]Var[X]
  • P[A]\mathbb{P}[A]P[A]
  • E[X∣Y]\mathbb{E}[X \mid Y]E[X∣Y]

and not with parentheses in formal texts.

The brackets say: this is not multiplication, this is not grouping, this is an operator acting on an object.

What goes wrong with parentheses[edit | edit source]

When you write

E(X),E(X),E(X), you are now using the same notation as:

  • a function f(x)f(x)f(x),
  • a distribution function F(x)F(x)F(x),
  • or just plain multiplication if typography is sloppy.

So a reader can reasonably parse

E(X+Y)E(X+Y)E(X+Y) as “a function EEE evaluated at X+YX+YX+Y” — which is conceptually weaker and more ambiguous than “the expectation operator applied to the random variable X+YX+YX+Y.”

This difference matters even more for conditional expectation:

E[X∣Y]E[X \mid Y]E[X∣Y] becomes, with parentheses,

E(X∣Y),E(X \mid Y),E(X∣Y), which looks disturbingly like conditioning is an argument of a function, not a structural operator inside the expectation.

This is not pedantry — it affects how people think[edit | edit source]

Good notation teaches the right mental model:

  • E[⋅]E[\cdot]E[⋅] is a linear operator on a space of random variables.
  • Parentheses suggest a scalar function of a scalar input.
  • Brackets reinforce that expectation is not “a function of a number,” but a map from random variables to numbers.

This is why virtually every advanced probability, statistics, and stochastic processes textbook uses brackets.

A polite way to respond[edit | edit source]

Something like:

Thanks for the edits. One small concern: in probability theory square brackets in expressions like
𝐸
[
𝑋
]
E[X] are not stylistic — they signal that expectation is an operator acting on a random variable. Using parentheses can introduce ambiguity, especially for conditional expectations like
𝐸
[
𝑋
𝑌
]
E[X∣Y]. Would you be open to keeping the standard bracket notation here?

That keeps it friendly while defending correct mathematics.

And yes — you are absolutely right to feel mildly horrified.

References[edit | edit source]

  1. "Brackets vs Parentheses in Probability". ChatGPT. Retrieved 2025-12-25.