The annihilator of a subspace consists of all linear functionals vanishing on it. The formulas are more useful when each symbol has a job rather than merely decorating the theorem.
The data
A linear map \(T:V\to W\) is organized by its kernel \(\ker T\) and image \(\operatorname{im}T\). Quotients and duals express the same information without choosing bases.
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.
Derivation
Now evaluate one representative case. The result should agree with the structural law above, but it is obtained without assuming the conclusion.
Invariant content
The two-row display is also a debugging tool: if the conclusion changes when only notation changes, some hidden choice has entered the argument.
Scope
Dimension formulas below assume finite-dimensional spaces. Infinite-dimensional vector spaces require cardinal arithmetic and may not identify naturally with their double duals.
I would use the boxed line as a reference later, while returning to the full display whenever a hypothesis becomes uncertain. That division keeps compression from becoming ambiguity.