Original question and givens
Use the explicit Bernoulli symbolic family with interior limit p=1/2, 0<p<1, signed c=2/20, positive shift=13, and p_n=p+c/(n+shift) for every n≥1. The whole parameter tail must stay in [0,1]. The Bernoulli CDF is 0 below 0, 1−p on [0,1), and 1 at or above 1. With this interior limit its only jumps are at 0 and 1; the definition requires CDF convergence only at its continuity points. A chosen coupling is not required, and convergence in probability, almost surely or in Lp is not inferred. Keep exact reduced rationals, omitting /1 for integers. n=12, threshold=2/1. Give (n,p_n,threshold,F_n,F,limit_CDF_continuity_point?).
G001 — Use the explicit Bernoulli symbolic family with interior limit p=1/2, 0<p<1, signed c=2/20, positive shift=13, and p_n=p+c/(n+shift) for every n≥1. The whole parameter tail must stay in [0,1]. The Bernoulli CDF is 0 below 0, 1−p on [0,1), and 1 at or above 1. With this interior limit its only jumps are at 0 and 1; the definition requires CDF convergence only at its continuity points. A chosen coupling is not required, and convergence in probability, almost surely or in Lp is not inferred. Keep exact reduced rationals, omitting /1 for integers. n=12, threshold=2/1. Give (n,p_n,threshold,F_n,F,limit_CDF_continuity_point?).
Step-by-step derivation
S001 · calculation
Before
interior Bernoulli limit mass at0 := sub(1, 1/2)
After
interior Bernoulli limit mass at0 = 1/2
Conditions: none
Compute exactly from original roles and established intermediates,retaining indices,signs,denominators and the operation's carrier.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001
S002 · implies
Before
original limit parameter=[1, 2];reduced p=1/2;mass at0=1/2;mass at1=1/2
After
both endpoint masses positive;only limit-CDF jumps at0 and1;registered interior projection
Conditions: none
Honor the source English restriction0<p<1,so both jumps genuinely have positive mass.Although the raw oracle allows endpoint parameters,do not extend this continuity-point protocol to degenerate distributions;their jump sets require separate analysis.
Step identifiers and dependencies
Rule: Bernoulli_interior_English_guard_not_degenerate_jump_set · Uses: G001, S001
S003 · calculation
Before
Bernoulli first legal tail denominator := sum(1, 13)
After
Bernoulli first legal tail denominator = 14
Conditions: none
Compute exactly from original roles and established intermediates,retaining indices,signs,denominators and the operation's carrier.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001, S002
S004 · calculation
Before
Bernoulli first tail signed correction := div(1/10, 14)
After
Bernoulli first tail signed correction = 1/140
Conditions: none
Compute exactly from original roles and established intermediates,retaining indices,signs,denominators and the operation's carrier.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001, S003
S005 · calculation
Before
Bernoulli first legal parameter := sum(1/2, 1/140)
After
Bernoulli first legal parameter = 71/140
Conditions: none
Compute exactly from original roles and established intermediates,retaining indices,signs,denominators and the operation's carrier.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001, S004
S006 · implies
Before
declared all-n family p_n=1/2+(1/10)/(n+13);n>=1;first parameter=71/140;limit=1/2
After
for every n>=1,lambda=(1+13)/(n+13) in(0,1];p_n=(1-lambda)*1/2+lambda*(71/140) in[0,1]
Conditions: none
The signed c may be positive,negative or zero.Every parameter is a convex combination of the first legal parameter and the limit,so their probability bounds cover the whole tail,not merely one displayed n.No chosen coupling is required for this family of distributions.
Step identifiers and dependencies
Rule: Bernoulli_whole_signed_parameter_tail_convex_combination · Uses: G001, S005
S007 · calculation
Before
Bernoulli selected tail denominator := sum(12, 13)
After
Bernoulli selected tail denominator = 25
Conditions: none
Compute exactly from original roles and established intermediates,retaining indices,signs,denominators and the operation's carrier.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001, S006
S008 · calculation
Before
Bernoulli selected signed correction := div(1/10, 25)
After
Bernoulli selected signed correction = 1/250
Conditions: none
Compute exactly from original roles and established intermediates,retaining indices,signs,denominators and the operation's carrier.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001, S007
S009 · calculation
Before
Bernoulli selected exact parameter := sum(1/2, 1/250)
After
Bernoulli selected exact parameter = 63/125
Conditions: none
Compute exactly from original roles and established intermediates,retaining indices,signs,denominators and the operation's carrier.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001, S008
S010 · implies
Before
selected distribution:Bernoulli parameter=63/125;same exact threshold=2;CDF branch=t>=1
After
selected distribution exact CDF value=1
Conditions: none
A CDF is P(X≤t):at0 include mass1−p,and at1 include all mass.Use the same threshold branch for both CDFs.The continuity flag is distinct from equality of two finite-n values.
Step identifiers and dependencies
Rule: Bernoulli_CDF_same_threshold_including_endpoints · Uses: G001, S009
S011 · implies
Before
limiting distribution:Bernoulli parameter=1/2;same exact threshold=2;CDF branch=t>=1
After
limiting distribution exact CDF value=1
Conditions: none
A CDF is P(X≤t):at0 include mass1−p,and at1 include all mass.Use the same threshold branch for both CDFs.The continuity flag is distinct from equality of two finite-n values.
Step identifiers and dependencies
Rule: Bernoulli_CDF_same_threshold_including_endpoints · Uses: G001, S010
S012 · implies
Before
limit parameter=1/2;threshold=2;jump set=[0, 1];selected CDF=1;limit CDF=1
After
continuity-point flag=Yes;finite-n equality does not decide this flag
Conditions: none
The final flag belongs to the limit CDF;equal displayed values do not establish continuity.Convergence in distribution does not imply convergence in probability,almost surely or in Lp.
Step identifiers and dependencies
Rule: convdist_continuity_is_limit_CDF_property · Uses: G001, S011