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Lossless and dependency preserving check 1
Short answer
The decomposition is not lossless because the common attribute C is not a key for either relation, and the chase test fails. It is not dependency preserving because B → D and E → A are lost.
Suppose R = (A, B, C, D, E) is decomposed into R1 (A, B, C) and R2 (C, D, E). Is it lossless? Is it dependency preserving? Consider F = {A → BC, CD → E, B → D, E → A}.
R = (A, B, C, D, E), R1 = (A, B, C), R2 = (C, D, E), F = {A → BC, CD → E, B → D, E → A}.
Lossless join test
R1 ∩ R2 = {C}. The decomposition is lossless if C → R1 or C → R2 holds, that is, if C is a key of R1 or R2.
C⁺ = {C}, since no FD has C alone on the left side. So C → R1 and C → R2 both fail.
Chase table (a = known value, b = unknown):
| A | B | C | D | E | |
|---|---|---|---|---|---|
| R1 | a | a | a | b | b |
| R2 | b | b | a | a | a |
The two rows never agree on the left side of any FD (A: a vs b, CD: R1 has b in D, B: a vs b, E: b vs a), so nothing can be changed and neither row becomes all "a".
The decomposition is NOT lossless.
Dependency preservation test
Projections of F:
- F1 on (A, B, C): A → BC (and the FDs derived from it: A → B, A → C, AB → C, ...)
- F2 on (C, D, E): CD → E, E → CD (E⁺ = ABCDE, so E → C, E → D)
Check each FD of F:
- A → BC: in F1. Preserved.
- CD → E: in F2. Preserved.
- B → D: B is in R1 but D is not, and the closure of B inside R1 is B⁺ ∩ R1 = {B, D} ∩ {A, B, C} = {B}. Never reaches D. Lost.
- E → A: E⁺ ∩ R2 = {C, D, E}, then Z = {E, C, D}; Z ∩ R1 = {C}, C⁺ = {C}. A is never reached. Lost.
The decomposition is NOT dependency preserving (B → D and E → A are lost).
Answer: not lossless and not dependency preserving.
✓ Answer checked by Claude Opus 5.5 (high effort)
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