MerLean-example

33 Lem 6: Time Fault-Distance

This chapter proves that the time fault-distance—the minimum weight of a pure-time gauging logical fault in the fault-tolerant gauging measurement procedure—equals \(d\), the number of rounds in the deformed code phase.

Definition 892 Pure-Time Fault

A spacetime fault \(F\) is a pure-time fault if it has no space-faults, i.e., \(F\) satisfies \(F.\mathrm{isPureTime}\).

Definition 893 Pure-Time Logical Fault

A spacetime fault \(F\) is a pure-time gauging logical fault if it is both a pure-time fault and a gauging logical fault:

\[ \operatorname {IsPureTimeLogicalFault}(F) \; \Leftrightarrow \; \operatorname {IsPureTimeFault}(F) \; \land \; \operatorname {IsGaugingLogicalFault}(F). \]
Definition 894 Pure-Time Logical Fault Weights

The set of weights of pure-time gauging logical faults:

\[ \{ w \in \mathbb {N} \mid \exists \, F,\; \operatorname {IsPureTimeLogicalFault}(F) \; \land \; \operatorname {weight}(F) = w \} . \]
Definition 895 Time Fault-Distance

The time fault-distance is the infimum of the set of pure-time logical fault weights:

\[ d_{\mathrm{time}} \; =\; \inf \, \operatorname {pureTimeLogicalFaultWeights}. \]
Definition 896 Gauss Measurement Faults

For a vertex \(v \in V\), the Gauss measurement faults \(\operatorname {gaussMeasFaults}(v)\) is the set of time-faults corresponding to the \(A_v\) measurement at all \(d\) rounds of Phase 2:

\[ \operatorname {gaussMeasFaults}(v) = \bigl\{ \langle \operatorname {phase2}(\operatorname {gaussLaw}(v, r)) \rangle \mid r \in \operatorname {Fin}(d) \bigr\} . \]
Definition 897 Gauss String Fault

The Gauss string fault for vertex \(v\) is the spacetime fault \((\emptyset , \operatorname {gaussMeasFaults}(v))\) with no space-faults and time-faults given by the \(A_v\) measurement string.

Lemma 898 Gauss String Fault is Pure-Time

The Gauss string fault for any vertex \(v\) is a pure-time fault.

Proof

By definition, \(\operatorname {gaussStringFault}(v)\) has empty space-faults, so \(\operatorname {isPureTime}\) holds by simplification.

Lemma 899 Gauss Measurement Faults Map is Injective

The map \(r \mapsto \langle \operatorname {phase2}(\operatorname {gaussLaw}(v, r)) \rangle \) from \(\operatorname {Fin}(d)\) to time-faults is injective.

Proof

Let \(r_1, r_2 \in \operatorname {Fin}(d)\) and suppose the images are equal. By injectivity of the \(\operatorname {phase2}\) and \(\operatorname {gaussLaw}\) constructors, we extract \(r_1 = r_2\).

Lemma 900 Gauss Measurement Faults Cardinality

\(|\operatorname {gaussMeasFaults}(v)| = d\).

Proof

Rewriting using the definition of \(\operatorname {gaussMeasFaults}\), the cardinality of the image of an injective function equals the cardinality of the domain, which is \(|\operatorname {Fin}(d)| = d\).

Lemma 901 Gauss String Fault Weight Equals \(d\)

\(\operatorname {weight}(\operatorname {gaussStringFault}(v)) = d\).

Proof

By simplification using the definitions of weight and \(\operatorname {gaussStringFault}\), the weight equals \(|\emptyset | + |\operatorname {gaussMeasFaults}(v)| = 0 + d = d\).

Lemma 902 Membership in Gauss Measurement Faults

A time-fault \(\mathit{tf}\) belongs to \(\operatorname {gaussMeasFaults}(v)\) if and only if there exists \(r \in \operatorname {Fin}(d)\) such that \(\mathit{tf} = \langle \operatorname {phase2}(\operatorname {gaussLaw}(v, r)) \rangle \).

Proof

By simplification of the membership condition in the image finset. Both directions follow by exhibiting the witness \(r\).

Lemma 903 Gauss String Fault Time-Faults

\((\operatorname {gaussStringFault}(v)).\mathrm{timeFaults} = \operatorname {gaussMeasFaults}(v)\).

Proof

This holds by reflexivity (definitional equality).

Lemma 904 Gauss Measurement at Round \(r\) is in String

For any round \(r \in \operatorname {Fin}(d)\), the time-fault \(\langle \operatorname {phase2}(\operatorname {gaussLaw}(v, r)) \rangle \) belongs to the time-faults of \(\operatorname {gaussStringFault}(v)\).

Proof

Rewriting using \(\operatorname {gaussStringFault\_ timeFaults\_ eq}\) and \(\operatorname {mem\_ gaussMeasFaults}\), the witness \(r\) itself suffices.

Lemma 905 No Other Gauss Measurements in String

For \(v \neq w\) and any round \(r\), the time-fault \(\langle \operatorname {phase2}(\operatorname {gaussLaw}(w, r)) \rangle \) does not belong to the time-faults of \(\operatorname {gaussStringFault}(v)\).

Proof

Rewriting using \(\operatorname {gaussStringFault\_ timeFaults\_ eq}\) and \(\operatorname {mem\_ gaussMeasFaults}\), we push the negation inward. For any candidate round \(r'\), the equality hypothesis forces \(v = w\) by injectivity of the \(\operatorname {gaussLaw}\) constructor, contradicting \(v \neq w\).

\(\operatorname {gaussSignFlip}(\operatorname {gaussStringFault}(v)) = d \pmod{2}\).

Proof

Unfolding \(\operatorname {gaussSignFlip}\), we establish that for each vertex \(w\), the inner sum \(\sum _{r \in \operatorname {Fin}(d)} [\langle \operatorname {phase2}(\operatorname {gaussLaw}(w,r))\rangle \in F.\mathrm{timeFaults}]\) equals \(d \pmod{2}\) if \(w = v\) and \(0\) otherwise. For \(w = v\): by \(\operatorname {gaussStringFault\_ mem\_ gauss}\), every indicator is \(1\), and the constant sum gives \(d \cdot 1 = d\). For \(w \neq v\): by \(\operatorname {gaussStringFault\_ no\_ other\_ gauss}\), every indicator is \(0\). Substituting these values, the outer sum over \(V\) reduces to a single term at \(v\) by \(\sum _{w \in V} [\! [w = v]\! ] \cdot (d \bmod 2) = d \pmod{2}\).

Lemma 907 Gauss String Flips Sign When \(d\) is Odd

When \(d\) is odd, \(\operatorname {gaussStringFault}(v)\) flips the gauging sign.

Proof

Rewriting \(\operatorname {FlipsGaugingSign}\) and applying \(\operatorname {gaussStringFault\_ signFlip}\), the goal becomes \(d \pmod{2} = 1\), which holds since \(d\) is odd.

Proof

We verify that no detector is violated by case analysis on the detector index type:

Case \(\operatorname {phase1Repeated}(j, r, r', hr)\): The Phase 1 repeated detector involves Phase 1 measurements, which are disjoint from the Gauss Phase 2 measurements in the \(A_v\) string. We apply \(\operatorname {not\_ isViolated\_ disjoint}\): for each measurement \(m\) in the detector, it cannot be a Gauss \(A_v\) measurement at any round, established by simplification of the constructors.

Case \(\operatorname {phase2GaussRepeated}(w, r, r', hr)\): This detector compares \(A_w\) at consecutive rounds \(r\) and \(r'\). Rewriting using \(\operatorname {isViolated\_ iff\_ flipParity}\) and unfolding the detector, the flip parity is a sum over a pair of measurements. If \(v = w\): both measurements are in the string by \(\operatorname {gaussStringFault\_ mem\_ gauss}\), so both indicators are \(1\) and the sum is \(1 + 1 = 0\) in \(\mathbb {Z}/2\mathbb {Z}\) (by the characteristic-two identity). If \(v \neq w\): both measurements are absent by \(\operatorname {gaussStringFault\_ no\_ other\_ gauss}\), so both indicators are \(0\) and the sum is \(0\).

Case \(\operatorname {phase2FluxRepeated}(p, r, r', hr)\): The flux repeated detector involves flux measurements \(B_p\), which are disjoint from Gauss \(A_v\) measurements. We apply \(\operatorname {not\_ isViolated\_ disjoint}\) with the observation that no flux measurement equals a Gauss measurement.

Case \(\operatorname {phase2DeformedRepeated}(j, r, r', hr)\): The deformed repeated detector involves deformed check measurements \(\tilde{s}_j\), which are disjoint from Gauss \(A_v\) measurements. We apply \(\operatorname {not\_ isViolated\_ disjoint}\) similarly.

Case \(\operatorname {phase3Repeated}(j, r, r', hr)\): The Phase 3 repeated detector involves Phase 3 measurements, disjoint from Phase 2 Gauss measurements. We apply \(\operatorname {not\_ isViolated\_ disjoint}\).

Case \(\operatorname {fluxInit}(p)\): The flux initialization detector involves edge initialization and flux measurements, both disjoint from Gauss \(A_v\) measurements. We apply \(\operatorname {not\_ isViolated\_ disjoint}\).

Case \(\operatorname {deformedInit}(j)\): The deformed initialization detector involves edge initialization, Phase 1, and deformed measurements, all disjoint from Gauss \(A_v\) measurements. We apply \(\operatorname {not\_ isViolated\_ disjoint}\).

Case \(\operatorname {fluxUngauge}(p)\): The flux ungauge detector involves Phase 3 and flux measurements, disjoint from Gauss measurements. We apply \(\operatorname {not\_ isViolated\_ disjoint}\).

Case \(\operatorname {deformedUngauge}(j)\): The deformed ungauge detector involves Phase 3, deformed, and edge-\(Z\) measurements, all disjoint from Gauss measurements. We apply \(\operatorname {not\_ isViolated\_ disjoint}\).

When \(d\) is odd, the \(A_v\) string fault is a gauging logical fault.

Proof

The fault is syndrome-free by \(\operatorname {gaussStringFault\_ syndromeFree}\). It does not preserve the gauging sign because, rewriting \(\operatorname {PreservesGaugingSign}\) and applying \(\operatorname {gaussStringFault\_ signFlip}\), we get \(\operatorname {gaussSignFlip} = d \pmod{2} = 1 \neq 0\) since \(d\) is odd.

When \(d\) is odd and \(V\) is nonempty (witnessed by \(v \in V\)), the time fault-distance satisfies \(d_{\mathrm{time}} \leq d\).

Proof

Unfolding the definition of \(d_{\mathrm{time}}\) as an infimum, we apply \(\operatorname {Nat.sInf\_ le}\) with the witness \(\operatorname {gaussStringFault}(v)\). This fault is pure-time (by \(\operatorname {gaussStringFault\_ isPureTime}\)), is a gauging logical fault (by \(\operatorname {gaussStringFault\_ isLogicalFault}\)), and has weight \(d\) (by \(\operatorname {gaussStringFault\_ weight\_ eq\_ d}\)).

Lemma 911 Pure-Time Fault Weight Equals Time-Fault Count

For a pure-time fault \(F\), \(\operatorname {weight}(F) = |F.\mathrm{timeFaults}|\).

Proof

By \(\operatorname {isPureTime}\), the space-faults are empty: \(F.\mathrm{spaceFaults} = \emptyset \). Thus \(\operatorname {weight}(F) = |\emptyset | + |F.\mathrm{timeFaults}| = |F.\mathrm{timeFaults}|\).

Definition 912 Gauss Fault Count

The Gauss fault count for vertex \(v\) in a spacetime fault \(F\) is the number of rounds \(r \in \operatorname {Fin}(d)\) at which the \(A_v\) measurement at round \(r\) is a time-fault:

\[ \operatorname {gaussFaultCount}(v, F) = \bigl|\bigl\{ r \in \operatorname {Fin}(d) \mid \langle \operatorname {phase2}(\operatorname {gaussLaw}(v, r)) \rangle \in F.\mathrm{timeFaults} \bigr\} \bigr|. \]
Lemma 913 Gauss Sign Flip Equals Sum of Parities

\(\operatorname {gaussSignFlip}(F) = \sum _{v \in V} \operatorname {gaussFaultCount}(v, F) \pmod{2}\).

Proof

Unfolding both definitions, we apply congruence. For each vertex \(v\), rewriting the cardinality of the filter using \(\operatorname {Finset.card\_ filter}\) and simplifying with \(\operatorname {Finset.sum\_ boole}\) gives the equality.

For a syndrome-free fault \(F\) and consecutive rounds \(r, r'\) with \(r + 1 = r'\), the \(A_v\) measurement at round \(r\) is faulted if and only if the \(A_v\) measurement at round \(r'\) is faulted.

Proof

The syndrome-freeness hypothesis applied to the detector \(\operatorname {phase2GaussRepeated}(v, r, r', hr)\) gives that this detector is not violated. Rewriting using \(\operatorname {isViolated\_ iff\_ flipParity}\) and unfolding the Gauss repeated detector, the flip parity is a sum over the pair \(\{ m_r, m_{r'}\} \). Since \(r \neq r'\) (as \(r + 1 = r'\)), this is a two-element sum. We perform case analysis on whether each measurement is in \(F.\mathrm{timeFaults}\): if both are present or both absent, the sum is \(0\) (consistent with non-violation); if exactly one is present, the sum is \(1\) (contradicting non-violation). This establishes the biconditional.

Lemma 915 All-or-None Property for Gauss Faults

For a syndrome-free fault \(F\) and any two rounds \(r, r' \in \operatorname {Fin}(d)\), the \(A_v\) measurement at round \(r\) is faulted if and only if the \(A_v\) measurement at round \(r'\) is faulted.

Proof

It suffices to show the claim for \(r \leq r'\) (the other direction follows by symmetry of the biconditional). We proceed by induction on the difference \(k = r' - r\).

Base case (\(k = 0\)): Then \(r = r'\) by \(\operatorname {Fin.ext}\), so the biconditional holds by reflexivity.

Inductive step (\(k = n + 1\)): We have \(r' = r + n + 1\). By the induction hypothesis, the fault status at round \(r\) equals that at round \(r + n\). By \(\operatorname {syndromeFree\_ gauss\_ consecutive}\), the fault status at round \(r + n\) equals that at round \(r + n + 1 = r'\). Composing these two biconditionals via transitivity gives the result.

Lemma 916 Gauss Fault Count is \(0\) or \(d\)

For a syndrome-free fault, \(\operatorname {gaussFaultCount}(v, F) = 0\) or \(\operatorname {gaussFaultCount}(v, F) = d\).

Proof

Unfolding \(\operatorname {gaussFaultCount}\), if \(d = 0\) then the filter over \(\operatorname {Fin}(0)\) is empty, giving count \(0\). Otherwise, \(d {\gt} 0\) and we let \(r_0 = 0 \in \operatorname {Fin}(d)\). By case analysis on whether \(A_v\) at round \(r_0\) is faulted:

If faulted: by \(\operatorname {syndromeFree\_ gauss\_ all\_ or\_ none}\), every round \(r\) is faulted, so the filter equals \(\operatorname {Fin}(d)\) and the count is \(d\).

If not faulted: by \(\operatorname {syndromeFree\_ gauss\_ all\_ or\_ none}\), no round \(r\) is faulted (any faulted round would imply \(r_0\) is faulted), so the filter is empty and the count is \(0\).

Lemma 917 Gauss Fault Parity is \(0\) or \(d \pmod{2}\)

For a syndrome-free fault, \(\operatorname {gaussFaultCount}(v, F) \equiv 0 \pmod{2}\) or \(\operatorname {gaussFaultCount}(v, F) \equiv d \pmod{2}\).

Proof

By \(\operatorname {gaussFaultCount\_ zero\_ or\_ d}\), the count is \(0\) or \(d\). In either case, the corresponding congruence modulo \(2\) follows by simplification.

For a syndrome-free fault that flips the gauging sign when \(d\) is odd, the number of vertices \(v\) with \(\operatorname {gaussFaultCount}(v, F) = d\) is odd.

Proof

Rewriting \(\operatorname {FlipsGaugingSign}\) and applying \(\operatorname {gaussSignFlip\_ eq\_ sum\_ parities}\), we have \(\sum _{v \in V} \operatorname {gaussFaultCount}(v, F) \equiv 1 \pmod{2}\). Since \(d\) is odd, \(d \equiv 1 \pmod{2}\). By \(\operatorname {gaussFaultParity\_ zero\_ or\_ d}\), each summand is either \(0\) or \(1\) in \(\mathbb {Z}/2\mathbb {Z}\). The sum therefore equals the cardinality (mod 2) of the set \(\{ v \mid \operatorname {gaussFaultCount}(v,F) \equiv 1 \pmod{2}\} \). We verify this filter equals \(\{ v \mid \operatorname {gaussFaultCount}(v,F) = d\} \) using \(\operatorname {gaussFaultCount\_ zero\_ or\_ d}\): count \(= 0\) gives parity \(0\), and count \(= d\) gives parity \(1\) (since \(d\) is odd). The cardinality being \(1 \pmod{2}\) means the set has odd cardinality, as verified by \(\operatorname {ZMod.natCast\_ eq\_ one\_ iff\_ odd}\).

Lemma 919 Total Gauss Fault Count \(\leq \) Weight

For a pure-time fault \(F\), \(\sum _{v \in V} \operatorname {gaussFaultCount}(v, F) \leq \operatorname {weight}(F)\).

Proof

Rewriting the weight as \(|F.\mathrm{timeFaults}|\) using \(\operatorname {pureTime\_ weight\_ eq\_ card}\), we show that the biUnion of the mapped Gauss faults (over all vertices) is a subset of \(F.\mathrm{timeFaults}\): each element of the biUnion is obtained from some \(\langle \operatorname {phase2}(\operatorname {gaussLaw}(v,r)) \rangle \) that is in \(F.\mathrm{timeFaults}\) by the filter condition. The sum of cardinalities of the per-vertex image sets equals the cardinality of their disjoint union (since different vertices produce distinct measurement labels by injectivity of the \(\operatorname {gaussLaw}\) constructor). Thus \(\sum _v \operatorname {gaussFaultCount}(v,F) = |\text{biUnion}| \leq |F.\mathrm{timeFaults}|\) by monotonicity of cardinality.

Lemma 920 Pure-Time Fault with Full String has Weight \(\geq d\)

For a pure-time fault \(F\) with \(\operatorname {gaussFaultCount}(v, F) = d\) for some \(v\), we have \(d \leq \operatorname {weight}(F)\).

Proof

By a chain of inequalities:

\[ d = \operatorname {gaussFaultCount}(v, F) \leq \sum _{w \in V} \operatorname {gaussFaultCount}(w, F) \leq \operatorname {weight}(F), \]

where the first inequality uses that a single term of a nonneg sum is at most the total sum (\(\operatorname {Finset.single\_ le\_ sum}\)), and the second is \(\operatorname {pureTime\_ weight\_ ge\_ gauss\_ sum}\).

Theorem 921 Lower Bound: Any Pure-Time Logical Fault has Weight \(\geq d\)

If \(F\) is a pure-time fault that is syndrome-free, flips the gauging sign, and \(d\) is odd, then \(d \leq \operatorname {weight}(F)\).

Proof

By \(\operatorname {sign\_ flip\_ implies\_ odd\_ full\_ strings}\), the set \(\{ v \mid \operatorname {gaussFaultCount}(v, F) = d\} \) has odd cardinality, hence is nonempty. Let \(v\) be an element of this set. Then \(\operatorname {gaussFaultCount}(v, F) = d\), and by \(\operatorname {pureTime\_ weight\_ ge\_ d\_ of\_ full\_ string}\), we conclude \(d \leq \operatorname {weight}(F)\).

Proof

Unfolding \(d_{\mathrm{time}}\) as an infimum, we perform case analysis on whether the set of pure-time logical fault weights is nonempty.

If nonempty: we apply \(\operatorname {le\_ csInf}\) and take an arbitrary element \(w\) with witness \(F\) satisfying \(\operatorname {IsPureTimeFault}(F)\), \(\operatorname {IsGaugingLogicalFault}(F)\), and \(\operatorname {weight}(F) = w\). The gauging logical fault condition gives syndrome-freeness and non-preservation of the sign. By \(\operatorname {gaussSignFlip\_ zero\_ or\_ one}\), the sign flip is either \(0\) or \(1\); since it is not \(0\) (non-preservation), it is \(1\), meaning the fault flips the sign. By \(\operatorname {pureTime\_ logicalFault\_ weight\_ ge\_ d}\), \(d \leq \operatorname {weight}(F) = w\).

If empty: we derive a contradiction, since \(\operatorname {gaussStringFault}(v)\) (for \(v \in V\) from nonemptiness) is a pure-time logical fault of weight \(d\), so \(d\) belongs to the weight set, contradicting emptiness.

Theorem 923 Lemma 6: Time Fault-Distance Equals \(d\)

When \(d\) is odd and \(V\) is nonempty,

\[ d_{\mathrm{time}} = d. \]
Proof

By antisymmetry: \(d_{\mathrm{time}} \leq d\) from \(\operatorname {timeFaultDistance\_ le\_ d}\) and \(d \leq d_{\mathrm{time}}\) from \(\operatorname {timeFaultDistance\_ ge\_ d}\).

Every syndrome-free pure-time fault that preserves the Gauss sign decomposes into the listed spacetime stabilizer generators from Lemma 5. That is, there exists a list of generators \(\mathit{gens}\) such that every \(g \in \mathit{gens}\) satisfies \(\operatorname {IsListedGenerator}(g)\) and \(F = \operatorname {foldl}(\operatorname {compose}, \operatorname {empty}, \mathit{gens})\).

Proof

This follows directly from \(\operatorname {spacetimeStabilizer\_ completeness}\) applied to \(F\) with the pair of hypotheses (syndrome-freeness and sign preservation).

For a syndrome-free pure-time fault \(F\), exactly one of the following holds:

  1. \(F\) flips the gauging sign (i.e., is a logical fault), or

  2. \(F\) preserves the gauging sign and decomposes into the listed stabilizer generators (i.e., is a trivial fault).

Proof

By \(\operatorname {flipsOrPreserves}\), either \(F\) flips or preserves the gauging sign. In the first case, the left disjunct holds. In the second case, we combine the preservation hypothesis with \(\operatorname {pureTime\_ preservesSign\_ decomposes\_ into\_ generators}\) to obtain the generator decomposition.

Any syndrome-free pure-time fault of weight \({\lt} d\) (when \(d\) is odd) is a gauging stabilizer.

Proof

The fault is syndrome-free by hypothesis. Suppose for contradiction that the sign is not preserved. By \(\operatorname {gaussSignFlip\_ zero\_ or\_ one}\), the sign flip is \(0\) or \(1\); since it is not \(0\), it is \(1\), meaning the fault flips the sign. By \(\operatorname {pureTime\_ logicalFault\_ weight\_ ge\_ d}\), \(d \leq \operatorname {weight}(F)\), contradicting \(\operatorname {weight}(F) {\lt} d\).

Corollary 927 Gauss Fault Count Dichotomy

For any syndrome-free fault and any vertex \(v\), \(\operatorname {gaussFaultCount}(v, F) = 0\) or \(\operatorname {gaussFaultCount}(v, F) = d\).

Proof

This is exactly \(\operatorname {gaussFaultCount\_ zero\_ or\_ d}\).

Corollary 928 Time Fault-Distance Equals Phase 2 Duration

When \(d\) is odd and \(V\) is nonempty,

\[ d_{\mathrm{time}} = t_o - t_i, \]

where \(t_o - t_i\) is the Phase 2 duration.

Proof

Rewriting using \(\operatorname {timeFaultDistance\_ eq\_ d}\) and \(\operatorname {phase2\_ duration}\).

Corollary 929 Minimum-Weight Logical Fault is a Single String

Any pure-time fault that is syndrome-free, flips the gauging sign, has weight exactly \(d\), and \(d\) is odd, has exactly one vertex \(v\) with \(\operatorname {gaussFaultCount}(v, F) = d\).

Proof

By \(\operatorname {sign\_ flip\_ implies\_ odd\_ full\_ strings}\), the set \(S = \{ v \mid \operatorname {gaussFaultCount}(v, F) = d\} \) has odd cardinality, hence \(|S| \geq 1\). We show \(|S| \leq 1\) by contradiction: if \(|S| \geq 2\), there exist distinct \(v_1, v_2 \in S\) with \(\operatorname {gaussFaultCount}(v_i, F) = d\). Then

\[ 2d = \operatorname {gaussFaultCount}(v_1, F) + \operatorname {gaussFaultCount}(v_2, F) \leq \sum _{w \in V} \operatorname {gaussFaultCount}(w, F) \leq \operatorname {weight}(F) = d, \]

where the second inequality is \(\operatorname {pureTime\_ weight\_ ge\_ gauss\_ sum}\), giving \(2d \leq d\). Since \(d {\gt} 0\) (as \(d\) is odd), this is a contradiction. Therefore \(|S| = 1\).

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