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Description: Define the dimension of a vector space as the cardinality of its bases. Note that by lvecdim , all bases are equinumerous. (Contributed by Thierry Arnoux, 6-May-2023)
| Ref | Expression | ||
|---|---|---|---|
| Assertion | df-dim | ⊢ dim = ( 𝑓 ∈ V ↦ ∪ ( ♯ “ ( LBasis ‘ 𝑓 ) ) ) |
| Step | Hyp | Ref | Expression |
|---|---|---|---|
| 0 | cldim | ⊢ dim | |
| 1 | vf | ⊢ 𝑓 | |
| 2 | cvv | ⊢ V | |
| 3 | chash | ⊢ ♯ | |
| 4 | clbs | ⊢ LBasis | |
| 5 | 1 | cv | ⊢ 𝑓 |
| 6 | 5 4 | cfv | ⊢ ( LBasis ‘ 𝑓 ) |
| 7 | 3 6 | cima | ⊢ ( ♯ “ ( LBasis ‘ 𝑓 ) ) |
| 8 | 7 | cuni | ⊢ ∪ ( ♯ “ ( LBasis ‘ 𝑓 ) ) |
| 9 | 1 2 8 | cmpt | ⊢ ( 𝑓 ∈ V ↦ ∪ ( ♯ “ ( LBasis ‘ 𝑓 ) ) ) |
| 10 | 0 9 | wceq | ⊢ dim = ( 𝑓 ∈ V ↦ ∪ ( ♯ “ ( LBasis ‘ 𝑓 ) ) ) |