Independent bounded summands concentrate around their expected sum. The example is deliberately concrete; it is a test of the statement, not a substitute for it.
Objects and notation
Tail bounds convert information about the moment-generating function \(M_X(\lambda)=\mathbf E[e^{\lambda X}]\) into estimates for \(\mathbf P(X\ge t)\). Stronger assumptions produce exponentially sharper bounds.
The first display fixes the mathematical data. I label it \(\mathsf{data}\) mentally, while the next is the \(\mathsf{claim}\); the bridge between them is the displayed \(\Longrightarrow\), not an automatic implication.
Push the symbols
An explicit case prevents the notation from becoming ceremonial. Every subscript and superscript in the display contributes to the value.
Structural reading
The compact alignment is a local map of the argument: assumptions on the first row, consequence on the second. Any generalisation must preserve that dependency.
A hypothesis worth keeping
The parameter must be optimized only over values where the moment-generating function exists. Independence and boundedness hypotheses are not interchangeable.
This is enough machinery for one note: an exact object, a worked case, a structural law, and a clearly marked boundary. Each layer can now be tested independently.