第 24215 題：實指數函數

原題與已知條件

E(x)=sum_n>=0 x^n/n!的完整coefficient law與exact rational certificate。操作=exp-addition-convolution；資料={"x":[15,16],"y":[-16,17],"degree":14}。請依 exact_ordered_tuple_declared_by_interface 欄序回答。

• G001 — E(x)=sum_n>=0 x^n/n!的完整coefficient law與exact rational certificate。操作=exp-addition-convolution；資料={"x":[15,16],"y":[-16,17],"degree":14}。請依 exact_ordered_tuple_declared_by_interface 欄序回答。

定義與適用範圍

沿用原題明示的論域、假設與來源 MKO 定義。本題已完成第二對話數理與中英語義覆核，並由原始參數逐題獨立重算模型、答案與每個算術步驟；原題仍為 candidate。

• mko-real-exponential-function

逐步推導

source roles = [exp-addition-convolution]

derived = [[x, y, degree, coefficient_terms, convolution_coefficient, sum_argument_coefficient, equal, certificate]]

(15/16)^0

Exp convolution x power0 = 1

(-16/17)^14

Exp convolution y power14 = 72057594037927936/168377826559400929

Exp convolution numerator0 := mul(1, 72057594037927936/168377826559400929)

Exp convolution numerator0 = 72057594037927936/168377826559400929

source roles = [0]

derived = [1]

Exp convolution right0 factorial step1 := mul(1, 1)

Exp convolution right0 factorial step1 = 1

Exp convolution right0 factorial step2 := mul(1, 2)

Exp convolution right0 factorial step2 = 2

Exp convolution right0 factorial step3 := mul(2, 3)

Exp convolution right0 factorial step3 = 6

Exp convolution right0 factorial step4 := mul(6, 4)

Exp convolution right0 factorial step4 = 24

Exp convolution right0 factorial step5 := mul(24, 5)

Exp convolution right0 factorial step5 = 120

Exp convolution right0 factorial step6 := mul(120, 6)

Exp convolution right0 factorial step6 = 720

Exp convolution right0 factorial step7 := mul(720, 7)

Exp convolution right0 factorial step7 = 5040

Exp convolution right0 factorial step8 := mul(5040, 8)

Exp convolution right0 factorial step8 = 40320

Exp convolution right0 factorial step9 := mul(40320, 9)

Exp convolution right0 factorial step9 = 362880

Exp convolution right0 factorial step10 := mul(362880, 10)

Exp convolution right0 factorial step10 = 3628800

Exp convolution right0 factorial step11 := mul(3628800, 11)

Exp convolution right0 factorial step11 = 39916800

Exp convolution right0 factorial step12 := mul(39916800, 12)

Exp convolution right0 factorial step12 = 479001600

Exp convolution right0 factorial step13 := mul(479001600, 13)

Exp convolution right0 factorial step13 = 6227020800

Exp convolution right0 factorial step14 := mul(6227020800, 14)

Exp convolution right0 factorial step14 = 87178291200

Exp convolution denominator0 := mul(1, 87178291200)

Exp convolution denominator0 = 87178291200

Exp convolution coefficient term0 := div(72057594037927936/168377826559400929, 87178291200)

Exp convolution coefficient term0 = 35184372088832/7167427341512963030230725

(15/16)^1

Exp convolution x power1 = 15/16

(-16/17)^13

Exp convolution y power13 = -4503599627370496/9904578032905937

Exp convolution numerator1 := mul(15/16, -4503599627370496/9904578032905937)

Exp convolution numerator1 = -4222124650659840/9904578032905937

Exp convolution left1 factorial step1 := mul(1, 1)

Exp convolution left1 factorial step1 = 1

Exp convolution right1 factorial step1 := mul(1, 1)

Exp convolution right1 factorial step1 = 1

Exp convolution right1 factorial step2 := mul(1, 2)

Exp convolution right1 factorial step2 = 2

Exp convolution right1 factorial step3 := mul(2, 3)

Exp convolution right1 factorial step3 = 6

Exp convolution right1 factorial step4 := mul(6, 4)

Exp convolution right1 factorial step4 = 24

Exp convolution right1 factorial step5 := mul(24, 5)

Exp convolution right1 factorial step5 = 120

Exp convolution right1 factorial step6 := mul(120, 6)

Exp convolution right1 factorial step6 = 720

Exp convolution right1 factorial step7 := mul(720, 7)

Exp convolution right1 factorial step7 = 5040

Exp convolution right1 factorial step8 := mul(5040, 8)

Exp convolution right1 factorial step8 = 40320

Exp convolution right1 factorial step9 := mul(40320, 9)

Exp convolution right1 factorial step9 = 362880

Exp convolution right1 factorial step10 := mul(362880, 10)

Exp convolution right1 factorial step10 = 3628800

Exp convolution right1 factorial step11 := mul(3628800, 11)

Exp convolution right1 factorial step11 = 39916800

Exp convolution right1 factorial step12 := mul(39916800, 12)

Exp convolution right1 factorial step12 = 479001600

Exp convolution right1 factorial step13 := mul(479001600, 13)

Exp convolution right1 factorial step13 = 6227020800

Exp convolution denominator1 := mul(1, 6227020800)

Exp convolution denominator1 = 6227020800

Exp convolution coefficient term1 := div(-4222124650659840/9904578032905937, 6227020800)

Exp convolution coefficient term1 = -274877906944/4015365457430231389485

(15/16)^2

Exp convolution x power2 = 225/256

(-16/17)^12

Exp convolution y power12 = 281474976710656/582622237229761

Exp convolution numerator2 := mul(225/256, 281474976710656/582622237229761)

Exp convolution numerator2 = 247390116249600/582622237229761

Exp convolution left2 factorial step1 := mul(1, 1)

Exp convolution left2 factorial step1 = 1

Exp convolution left2 factorial step2 := mul(1, 2)

Exp convolution left2 factorial step2 = 2

Exp convolution right2 factorial step1 := mul(1, 1)

Exp convolution right2 factorial step1 = 1

Exp convolution right2 factorial step2 := mul(1, 2)

Exp convolution right2 factorial step2 = 2

Exp convolution right2 factorial step3 := mul(2, 3)

Exp convolution right2 factorial step3 = 6

Exp convolution right2 factorial step4 := mul(6, 4)

Exp convolution right2 factorial step4 = 24

Exp convolution right2 factorial step5 := mul(24, 5)

Exp convolution right2 factorial step5 = 120

Exp convolution right2 factorial step6 := mul(120, 6)

Exp convolution right2 factorial step6 = 720

Exp convolution right2 factorial step7 := mul(720, 7)

Exp convolution right2 factorial step7 = 5040

Exp convolution right2 factorial step8 := mul(5040, 8)

Exp convolution right2 factorial step8 = 40320

Exp convolution right2 factorial step9 := mul(40320, 9)

Exp convolution right2 factorial step9 = 362880

Exp convolution right2 factorial step10 := mul(362880, 10)

Exp convolution right2 factorial step10 = 3628800

Exp convolution right2 factorial step11 := mul(3628800, 11)

Exp convolution right2 factorial step11 = 39916800

Exp convolution right2 factorial step12 := mul(39916800, 12)

Exp convolution right2 factorial step12 = 479001600

Exp convolution denominator2 := mul(2, 479001600)

Exp convolution denominator2 = 958003200

Exp convolution coefficient term2 := div(247390116249600/582622237229761, 958003200)

Exp convolution coefficient term2 = 536870912/1211271631200673119

(15/16)^3

Exp convolution x power3 = 3375/4096

(-16/17)^11

Exp convolution y power11 = -17592186044416/34271896307633

Exp convolution numerator3 := mul(3375/4096, -17592186044416/34271896307633)

Exp convolution numerator3 = -14495514624000/34271896307633

Exp convolution left3 factorial step1 := mul(1, 1)

Exp convolution left3 factorial step1 = 1

Exp convolution left3 factorial step2 := mul(1, 2)

Exp convolution left3 factorial step2 = 2

Exp convolution left3 factorial step3 := mul(2, 3)

Exp convolution left3 factorial step3 = 6

Exp convolution right3 factorial step1 := mul(1, 1)

Exp convolution right3 factorial step1 = 1

Exp convolution right3 factorial step2 := mul(1, 2)

Exp convolution right3 factorial step2 = 2

Exp convolution right3 factorial step3 := mul(2, 3)

Exp convolution right3 factorial step3 = 6

Exp convolution right3 factorial step4 := mul(6, 4)

Exp convolution right3 factorial step4 = 24

Exp convolution right3 factorial step5 := mul(24, 5)

Exp convolution right3 factorial step5 = 120

Exp convolution right3 factorial step6 := mul(120, 6)

Exp convolution right3 factorial step6 = 720

Exp convolution right3 factorial step7 := mul(720, 7)

Exp convolution right3 factorial step7 = 5040

Exp convolution right3 factorial step8 := mul(5040, 8)

Exp convolution right3 factorial step8 = 40320

Exp convolution right3 factorial step9 := mul(40320, 9)

Exp convolution right3 factorial step9 = 362880

Exp convolution right3 factorial step10 := mul(362880, 10)

Exp convolution right3 factorial step10 = 3628800

Exp convolution right3 factorial step11 := mul(3628800, 11)

Exp convolution right3 factorial step11 = 39916800

Exp convolution denominator3 := mul(6, 39916800)

Exp convolution denominator3 = 239500800

Exp convolution coefficient term3 := div(-14495514624000/34271896307633, 239500800)

Exp convolution coefficient term3 = -41943040/23750424141189669

(15/16)^4

Exp convolution x power4 = 50625/65536

(-16/17)^10

Exp convolution y power10 = 1099511627776/2015993900449

Exp convolution numerator4 := mul(50625/65536, 1099511627776/2015993900449)

Exp convolution numerator4 = 849346560000/2015993900449

Exp convolution left4 factorial step1 := mul(1, 1)

Exp convolution left4 factorial step1 = 1

Exp convolution left4 factorial step2 := mul(1, 2)

Exp convolution left4 factorial step2 = 2

Exp convolution left4 factorial step3 := mul(2, 3)

Exp convolution left4 factorial step3 = 6

Exp convolution left4 factorial step4 := mul(6, 4)

Exp convolution left4 factorial step4 = 24

Exp convolution right4 factorial step1 := mul(1, 1)

Exp convolution right4 factorial step1 = 1

Exp convolution right4 factorial step2 := mul(1, 2)

Exp convolution right4 factorial step2 = 2

Exp convolution right4 factorial step3 := mul(2, 3)

Exp convolution right4 factorial step3 = 6

Exp convolution right4 factorial step4 := mul(6, 4)

Exp convolution right4 factorial step4 = 24

Exp convolution right4 factorial step5 := mul(24, 5)

Exp convolution right4 factorial step5 = 120

Exp convolution right4 factorial step6 := mul(120, 6)

Exp convolution right4 factorial step6 = 720

Exp convolution right4 factorial step7 := mul(720, 7)

Exp convolution right4 factorial step7 = 5040

Exp convolution right4 factorial step8 := mul(5040, 8)

Exp convolution right4 factorial step8 = 40320

Exp convolution right4 factorial step9 := mul(40320, 9)

Exp convolution right4 factorial step9 = 362880

Exp convolution right4 factorial step10 := mul(362880, 10)

Exp convolution right4 factorial step10 = 3628800

Exp convolution denominator4 := mul(24, 3628800)

Exp convolution denominator4 = 87091200

Exp convolution coefficient term4 := div(849346560000/2015993900449, 87091200)

Exp convolution coefficient term4 = 204800/42335871909429

(15/16)^5

Exp convolution x power5 = 759375/1048576

(-16/17)^9

Exp convolution y power9 = -68719476736/118587876497

Exp convolution numerator5 := mul(759375/1048576, -68719476736/118587876497)

Exp convolution numerator5 = -49766400000/118587876497

Exp convolution left5 factorial step1 := mul(1, 1)

Exp convolution left5 factorial step1 = 1

Exp convolution left5 factorial step2 := mul(1, 2)

Exp convolution left5 factorial step2 = 2

Exp convolution left5 factorial step3 := mul(2, 3)

Exp convolution left5 factorial step3 = 6

Exp convolution left5 factorial step4 := mul(6, 4)

Exp convolution left5 factorial step4 = 24

Exp convolution left5 factorial step5 := mul(24, 5)

Exp convolution left5 factorial step5 = 120

Exp convolution right5 factorial step1 := mul(1, 1)

Exp convolution right5 factorial step1 = 1

Exp convolution right5 factorial step2 := mul(1, 2)

Exp convolution right5 factorial step2 = 2

Exp convolution right5 factorial step3 := mul(2, 3)

Exp convolution right5 factorial step3 = 6

Exp convolution right5 factorial step4 := mul(6, 4)

Exp convolution right5 factorial step4 = 24

Exp convolution right5 factorial step5 := mul(24, 5)

Exp convolution right5 factorial step5 = 120

Exp convolution right5 factorial step6 := mul(120, 6)

Exp convolution right5 factorial step6 = 720

Exp convolution right5 factorial step7 := mul(720, 7)

Exp convolution right5 factorial step7 = 5040

Exp convolution right5 factorial step8 := mul(5040, 8)

Exp convolution right5 factorial step8 = 40320

Exp convolution right5 factorial step9 := mul(40320, 9)

Exp convolution right5 factorial step9 = 362880

Exp convolution denominator5 := mul(120, 362880)

Exp convolution denominator5 = 43545600

Exp convolution coefficient term5 := div(-49766400000/118587876497, 43545600)

Exp convolution coefficient term5 = -8000/830115135479

(15/16)^6

Exp convolution x power6 = 11390625/16777216

(-16/17)^8

Exp convolution y power8 = 4294967296/6975757441

Exp convolution numerator6 := mul(11390625/16777216, 4294967296/6975757441)

Exp convolution numerator6 = 2916000000/6975757441

Exp convolution left6 factorial step1 := mul(1, 1)

Exp convolution left6 factorial step1 = 1

Exp convolution left6 factorial step2 := mul(1, 2)

Exp convolution left6 factorial step2 = 2

Exp convolution left6 factorial step3 := mul(2, 3)

Exp convolution left6 factorial step3 = 6

Exp convolution left6 factorial step4 := mul(6, 4)

Exp convolution left6 factorial step4 = 24

Exp convolution left6 factorial step5 := mul(24, 5)

Exp convolution left6 factorial step5 = 120

Exp convolution left6 factorial step6 := mul(120, 6)

Exp convolution left6 factorial step6 = 720

Exp convolution right6 factorial step1 := mul(1, 1)

Exp convolution right6 factorial step1 = 1

Exp convolution right6 factorial step2 := mul(1, 2)

Exp convolution right6 factorial step2 = 2

Exp convolution right6 factorial step3 := mul(2, 3)

Exp convolution right6 factorial step3 = 6

Exp convolution right6 factorial step4 := mul(6, 4)

Exp convolution right6 factorial step4 = 24

Exp convolution right6 factorial step5 := mul(24, 5)

Exp convolution right6 factorial step5 = 120

Exp convolution right6 factorial step6 := mul(120, 6)

Exp convolution right6 factorial step6 = 720

Exp convolution right6 factorial step7 := mul(720, 7)

Exp convolution right6 factorial step7 = 5040

Exp convolution right6 factorial step8 := mul(5040, 8)

Exp convolution right6 factorial step8 = 40320

Exp convolution denominator6 := mul(720, 40320)

Exp convolution denominator6 = 29030400

Exp convolution coefficient term6 := div(2916000000/6975757441, 29030400)

Exp convolution coefficient term6 = 5625/390642416696

(15/16)^7

Exp convolution x power7 = 170859375/268435456

(-16/17)^7

Exp convolution y power7 = -268435456/410338673

Exp convolution numerator7 := mul(170859375/268435456, -268435456/410338673)

Exp convolution numerator7 = -170859375/410338673

Exp convolution left7 factorial step1 := mul(1, 1)

Exp convolution left7 factorial step1 = 1

Exp convolution left7 factorial step2 := mul(1, 2)

Exp convolution left7 factorial step2 = 2

Exp convolution left7 factorial step3 := mul(2, 3)

Exp convolution left7 factorial step3 = 6

Exp convolution left7 factorial step4 := mul(6, 4)

Exp convolution left7 factorial step4 = 24

Exp convolution left7 factorial step5 := mul(24, 5)

Exp convolution left7 factorial step5 = 120

Exp convolution left7 factorial step6 := mul(120, 6)

Exp convolution left7 factorial step6 = 720

Exp convolution left7 factorial step7 := mul(720, 7)

Exp convolution left7 factorial step7 = 5040

Exp convolution right7 factorial step1 := mul(1, 1)

Exp convolution right7 factorial step1 = 1

Exp convolution right7 factorial step2 := mul(1, 2)

Exp convolution right7 factorial step2 = 2

Exp convolution right7 factorial step3 := mul(2, 3)

Exp convolution right7 factorial step3 = 6

Exp convolution right7 factorial step4 := mul(6, 4)

Exp convolution right7 factorial step4 = 24

Exp convolution right7 factorial step5 := mul(24, 5)

Exp convolution right7 factorial step5 = 120

Exp convolution right7 factorial step6 := mul(120, 6)

Exp convolution right7 factorial step6 = 720

Exp convolution right7 factorial step7 := mul(720, 7)

Exp convolution right7 factorial step7 = 5040

Exp convolution denominator7 := mul(5040, 5040)

Exp convolution denominator7 = 25401600

Exp convolution coefficient term7 := div(-170859375/410338673, 25401600)

Exp convolution coefficient term7 = -84375/5147288314112

(15/16)^8

Exp convolution x power8 = 2562890625/4294967296

(-16/17)^6

Exp convolution y power6 = 16777216/24137569

Exp convolution numerator8 := mul(2562890625/4294967296, 16777216/24137569)

Exp convolution numerator8 = 2562890625/6179217664

Exp convolution left8 factorial step1 := mul(1, 1)

Exp convolution left8 factorial step1 = 1

Exp convolution left8 factorial step2 := mul(1, 2)

Exp convolution left8 factorial step2 = 2

Exp convolution left8 factorial step3 := mul(2, 3)

Exp convolution left8 factorial step3 = 6

Exp convolution left8 factorial step4 := mul(6, 4)

Exp convolution left8 factorial step4 = 24

Exp convolution left8 factorial step5 := mul(24, 5)

Exp convolution left8 factorial step5 = 120

Exp convolution left8 factorial step6 := mul(120, 6)

Exp convolution left8 factorial step6 = 720

Exp convolution left8 factorial step7 := mul(720, 7)

Exp convolution left8 factorial step7 = 5040

Exp convolution left8 factorial step8 := mul(5040, 8)

Exp convolution left8 factorial step8 = 40320

Exp convolution right8 factorial step1 := mul(1, 1)

Exp convolution right8 factorial step1 = 1

Exp convolution right8 factorial step2 := mul(1, 2)

Exp convolution right8 factorial step2 = 2

Exp convolution right8 factorial step3 := mul(2, 3)

Exp convolution right8 factorial step3 = 6

Exp convolution right8 factorial step4 := mul(6, 4)

Exp convolution right8 factorial step4 = 24

Exp convolution right8 factorial step5 := mul(24, 5)

Exp convolution right8 factorial step5 = 120

Exp convolution right8 factorial step6 := mul(120, 6)

Exp convolution right8 factorial step6 = 720

Exp convolution denominator8 := mul(40320, 720)

Exp convolution denominator8 = 29030400

Exp convolution coefficient term8 := div(2562890625/6179217664, 29030400)

Exp convolution coefficient term8 = 1265625/88585264431104

(15/16)^9

Exp convolution x power9 = 38443359375/68719476736

(-16/17)^5

Exp convolution y power5 = -1048576/1419857

Exp convolution numerator9 := mul(38443359375/68719476736, -1048576/1419857)

Exp convolution numerator9 = -38443359375/93051748352

Exp convolution left9 factorial step1 := mul(1, 1)

Exp convolution left9 factorial step1 = 1

Exp convolution left9 factorial step2 := mul(1, 2)

Exp convolution left9 factorial step2 = 2

Exp convolution left9 factorial step3 := mul(2, 3)

Exp convolution left9 factorial step3 = 6

Exp convolution left9 factorial step4 := mul(6, 4)

Exp convolution left9 factorial step4 = 24

Exp convolution left9 factorial step5 := mul(24, 5)

Exp convolution left9 factorial step5 = 120

Exp convolution left9 factorial step6 := mul(120, 6)

Exp convolution left9 factorial step6 = 720

Exp convolution left9 factorial step7 := mul(720, 7)

Exp convolution left9 factorial step7 = 5040

Exp convolution left9 factorial step8 := mul(5040, 8)

Exp convolution left9 factorial step8 = 40320

Exp convolution left9 factorial step9 := mul(40320, 9)

Exp convolution left9 factorial step9 = 362880

Exp convolution right9 factorial step1 := mul(1, 1)

Exp convolution right9 factorial step1 = 1

Exp convolution right9 factorial step2 := mul(1, 2)

Exp convolution right9 factorial step2 = 2

Exp convolution right9 factorial step3 := mul(2, 3)

Exp convolution right9 factorial step3 = 6

Exp convolution right9 factorial step4 := mul(6, 4)

Exp convolution right9 factorial step4 = 24

Exp convolution right9 factorial step5 := mul(24, 5)

Exp convolution right9 factorial step5 = 120

Exp convolution denominator9 := mul(362880, 120)

Exp convolution denominator9 = 43545600

Exp convolution coefficient term9 := div(-38443359375/93051748352, 43545600)

Exp convolution coefficient term9 = -6328125/666994932187136

(15/16)^10

Exp convolution x power10 = 576650390625/1099511627776

(-16/17)^4

Exp convolution y power4 = 65536/83521

Exp convolution numerator10 := mul(576650390625/1099511627776, 65536/83521)

Exp convolution numerator10 = 576650390625/1401249857536

Exp convolution left10 factorial step1 := mul(1, 1)

Exp convolution left10 factorial step1 = 1

Exp convolution left10 factorial step2 := mul(1, 2)

Exp convolution left10 factorial step2 = 2

Exp convolution left10 factorial step3 := mul(2, 3)

Exp convolution left10 factorial step3 = 6

Exp convolution left10 factorial step4 := mul(6, 4)

Exp convolution left10 factorial step4 = 24

Exp convolution left10 factorial step5 := mul(24, 5)

Exp convolution left10 factorial step5 = 120

Exp convolution left10 factorial step6 := mul(120, 6)

Exp convolution left10 factorial step6 = 720

Exp convolution left10 factorial step7 := mul(720, 7)

Exp convolution left10 factorial step7 = 5040

Exp convolution left10 factorial step8 := mul(5040, 8)

Exp convolution left10 factorial step8 = 40320

Exp convolution left10 factorial step9 := mul(40320, 9)

Exp convolution left10 factorial step9 = 362880

Exp convolution left10 factorial step10 := mul(362880, 10)

Exp convolution left10 factorial step10 = 3628800

Exp convolution right10 factorial step1 := mul(1, 1)

Exp convolution right10 factorial step1 = 1

Exp convolution right10 factorial step2 := mul(1, 2)

Exp convolution right10 factorial step2 = 2

Exp convolution right10 factorial step3 := mul(2, 3)

Exp convolution right10 factorial step3 = 6

Exp convolution right10 factorial step4 := mul(6, 4)

Exp convolution right10 factorial step4 = 24

Exp convolution denominator10 := mul(3628800, 24)

Exp convolution denominator10 = 87091200

Exp convolution coefficient term10 := div(576650390625/1401249857536, 87091200)

Exp convolution coefficient term10 = 94921875/20088317957636096

(15/16)^11

Exp convolution x power11 = 8649755859375/17592186044416

(-16/17)^3

Exp convolution y power3 = -4096/4913

Exp convolution numerator11 := mul(8649755859375/17592186044416, -4096/4913)

Exp convolution numerator11 = -8649755859375/21101174325248

Exp convolution left11 factorial step1 := mul(1, 1)

Exp convolution left11 factorial step1 = 1

Exp convolution left11 factorial step2 := mul(1, 2)

Exp convolution left11 factorial step2 = 2

Exp convolution left11 factorial step3 := mul(2, 3)

Exp convolution left11 factorial step3 = 6

Exp convolution left11 factorial step4 := mul(6, 4)

Exp convolution left11 factorial step4 = 24

Exp convolution left11 factorial step5 := mul(24, 5)

Exp convolution left11 factorial step5 = 120

Exp convolution left11 factorial step6 := mul(120, 6)

Exp convolution left11 factorial step6 = 720

Exp convolution left11 factorial step7 := mul(720, 7)

Exp convolution left11 factorial step7 = 5040

Exp convolution left11 factorial step8 := mul(5040, 8)

Exp convolution left11 factorial step8 = 40320

Exp convolution left11 factorial step9 := mul(40320, 9)

Exp convolution left11 factorial step9 = 362880

Exp convolution left11 factorial step10 := mul(362880, 10)

Exp convolution left11 factorial step10 = 3628800

Exp convolution left11 factorial step11 := mul(3628800, 11)

Exp convolution left11 factorial step11 = 39916800

Exp convolution right11 factorial step1 := mul(1, 1)

Exp convolution right11 factorial step1 = 1

Exp convolution right11 factorial step2 := mul(1, 2)

Exp convolution right11 factorial step2 = 2

Exp convolution right11 factorial step3 := mul(2, 3)

Exp convolution right11 factorial step3 = 6

Exp convolution denominator11 := mul(39916800, 6)

Exp convolution denominator11 = 239500800

Exp convolution coefficient term11 := div(-8649755859375/21101174325248, 239500800)

Exp convolution coefficient term11 = -1423828125/831892696598577152

(15/16)^12

Exp convolution x power12 = 129746337890625/281474976710656

(-16/17)^2

Exp convolution y power2 = 256/289

Exp convolution numerator12 := mul(129746337890625/281474976710656, 256/289)

Exp convolution numerator12 = 129746337890625/317758860427264

Exp convolution left12 factorial step1 := mul(1, 1)

Exp convolution left12 factorial step1 = 1

Exp convolution left12 factorial step2 := mul(1, 2)

Exp convolution left12 factorial step2 = 2

Exp convolution left12 factorial step3 := mul(2, 3)

Exp convolution left12 factorial step3 = 6

Exp convolution left12 factorial step4 := mul(6, 4)

Exp convolution left12 factorial step4 = 24

Exp convolution left12 factorial step5 := mul(24, 5)

Exp convolution left12 factorial step5 = 120

Exp convolution left12 factorial step6 := mul(120, 6)

Exp convolution left12 factorial step6 = 720

Exp convolution left12 factorial step7 := mul(720, 7)

Exp convolution left12 factorial step7 = 5040

Exp convolution left12 factorial step8 := mul(5040, 8)

Exp convolution left12 factorial step8 = 40320

Exp convolution left12 factorial step9 := mul(40320, 9)

Exp convolution left12 factorial step9 = 362880

Exp convolution left12 factorial step10 := mul(362880, 10)

Exp convolution left12 factorial step10 = 3628800

Exp convolution left12 factorial step11 := mul(3628800, 11)

Exp convolution left12 factorial step11 = 39916800

Exp convolution left12 factorial step12 := mul(39916800, 12)

Exp convolution left12 factorial step12 = 479001600

Exp convolution right12 factorial step1 := mul(1, 1)

Exp convolution right12 factorial step1 = 1

Exp convolution right12 factorial step2 := mul(1, 2)

Exp convolution right12 factorial step2 = 2

Exp convolution denominator12 := mul(479001600, 2)

Exp convolution denominator12 = 958003200

Exp convolution coefficient term12 := div(129746337890625/317758860427264, 958003200)

Exp convolution coefficient term12 = 21357421875/50109301253937823744

(15/16)^13

Exp convolution x power13 = 1946195068359375/4503599627370496

(-16/17)^1

Exp convolution y power1 = -16/17

Exp convolution numerator13 := mul(1946195068359375/4503599627370496, -16/17)

Exp convolution numerator13 = -1946195068359375/4785074604081152

Exp convolution left13 factorial step1 := mul(1, 1)

Exp convolution left13 factorial step1 = 1

Exp convolution left13 factorial step2 := mul(1, 2)

Exp convolution left13 factorial step2 = 2

Exp convolution left13 factorial step3 := mul(2, 3)

Exp convolution left13 factorial step3 = 6

Exp convolution left13 factorial step4 := mul(6, 4)

Exp convolution left13 factorial step4 = 24

Exp convolution left13 factorial step5 := mul(24, 5)

Exp convolution left13 factorial step5 = 120

Exp convolution left13 factorial step6 := mul(120, 6)

Exp convolution left13 factorial step6 = 720

Exp convolution left13 factorial step7 := mul(720, 7)

Exp convolution left13 factorial step7 = 5040

Exp convolution left13 factorial step8 := mul(5040, 8)

Exp convolution left13 factorial step8 = 40320

Exp convolution left13 factorial step9 := mul(40320, 9)

Exp convolution left13 factorial step9 = 362880

Exp convolution left13 factorial step10 := mul(362880, 10)

Exp convolution left13 factorial step10 = 3628800

Exp convolution left13 factorial step11 := mul(3628800, 11)

Exp convolution left13 factorial step11 = 39916800

Exp convolution left13 factorial step12 := mul(39916800, 12)

Exp convolution left13 factorial step12 = 479001600

Exp convolution left13 factorial step13 := mul(479001600, 13)

Exp convolution left13 factorial step13 = 6227020800

Exp convolution right13 factorial step1 := mul(1, 1)

Exp convolution right13 factorial step1 = 1

Exp convolution denominator13 := mul(6227020800, 1)

Exp convolution denominator13 = 6227020800

Exp convolution coefficient term13 := div(-1946195068359375/4785074604081152, 6227020800)

Exp convolution coefficient term13 = -320361328125/4904816310973678747648

(15/16)^14

Exp convolution x power14 = 29192926025390625/72057594037927936

(-16/17)^0

Exp convolution y power0 = 1

Exp convolution numerator14 := mul(29192926025390625/72057594037927936, 1)

Exp convolution numerator14 = 29192926025390625/72057594037927936

Exp convolution left14 factorial step1 := mul(1, 1)

Exp convolution left14 factorial step1 = 1

Exp convolution left14 factorial step2 := mul(1, 2)

Exp convolution left14 factorial step2 = 2

Exp convolution left14 factorial step3 := mul(2, 3)

Exp convolution left14 factorial step3 = 6

Exp convolution left14 factorial step4 := mul(6, 4)

Exp convolution left14 factorial step4 = 24

Exp convolution left14 factorial step5 := mul(24, 5)

Exp convolution left14 factorial step5 = 120

Exp convolution left14 factorial step6 := mul(120, 6)

Exp convolution left14 factorial step6 = 720

Exp convolution left14 factorial step7 := mul(720, 7)

Exp convolution left14 factorial step7 = 5040

Exp convolution left14 factorial step8 := mul(5040, 8)

Exp convolution left14 factorial step8 = 40320

Exp convolution left14 factorial step9 := mul(40320, 9)

Exp convolution left14 factorial step9 = 362880

Exp convolution left14 factorial step10 := mul(362880, 10)

Exp convolution left14 factorial step10 = 3628800

Exp convolution left14 factorial step11 := mul(3628800, 11)

Exp convolution left14 factorial step11 = 39916800

Exp convolution left14 factorial step12 := mul(39916800, 12)

Exp convolution left14 factorial step12 = 479001600

Exp convolution left14 factorial step13 := mul(479001600, 13)

Exp convolution left14 factorial step13 = 6227020800

Exp convolution left14 factorial step14 := mul(6227020800, 14)

Exp convolution left14 factorial step14 = 87178291200

source roles = [0]

derived = [1]

Exp convolution denominator14 := mul(87178291200, 1)

Exp convolution denominator14 = 87178291200

Exp convolution coefficient term14 := div(29192926025390625/72057594037927936, 87178291200)

Exp convolution coefficient term14 = 4805419921875/1034050685795862625386496

Exp complete declared-degree convolution := sum(35184372088832/7167427341512963030230725, -274877906944/4015365457430231389485, 536870912/1211271631200673119, -41943040/23750424141189669, 204800/42335871909429, -8000/830115135479, 5625/390642416696, -84375/5147288314112, 1265625/88585264431104, -6328125/666994932187136, 94921875/20088317957636096, -1423828125/831892696598577152, 21357421875/50109301253937823744, -320361328125/4904816310973678747648, 4805419921875/1034050685795862625386496)

Exp complete declared-degree convolution = 1/1057725582686384458266478824154331142212812800

Exp ORIGINAL arguments sum := sum(15/16, -16/17)

Exp ORIGINAL arguments sum = -1/272

(-1/272)^14

Exp sum argument declared power = 1/12132901071205952454668884633452544

Exp sum argument factorial step1 := mul(1, 1)

Exp sum argument factorial step1 = 1

Exp sum argument factorial step2 := mul(1, 2)

Exp sum argument factorial step2 = 2

Exp sum argument factorial step3 := mul(2, 3)

Exp sum argument factorial step3 = 6

Exp sum argument factorial step4 := mul(6, 4)

Exp sum argument factorial step4 = 24

Exp sum argument factorial step5 := mul(24, 5)

Exp sum argument factorial step5 = 120

Exp sum argument factorial step6 := mul(120, 6)

Exp sum argument factorial step6 = 720

Exp sum argument factorial step7 := mul(720, 7)

Exp sum argument factorial step7 = 5040

Exp sum argument factorial step8 := mul(5040, 8)

Exp sum argument factorial step8 = 40320

Exp sum argument factorial step9 := mul(40320, 9)

Exp sum argument factorial step9 = 362880

Exp sum argument factorial step10 := mul(362880, 10)

Exp sum argument factorial step10 = 3628800

Exp sum argument factorial step11 := mul(3628800, 11)

Exp sum argument factorial step11 = 39916800

Exp sum argument factorial step12 := mul(39916800, 12)

Exp sum argument factorial step12 = 479001600

Exp sum argument factorial step13 := mul(479001600, 13)

Exp sum argument factorial step13 = 6227020800

Exp sum argument factorial step14 := mul(6227020800, 14)

Exp sum argument factorial step14 = 87178291200

Exp sum argument coefficient := div(1/12132901071205952454668884633452544, 87178291200)

Exp sum argument coefficient = 1/1057725582686384458266478824154331142212812800

source roles = [[15/16, -16/17], a_n=1/n! for EVERY n>=0]

derived = [coefficient ratio=1/(n+1), for EVERY fixed real z,term absolute ratio=|z|/(n+1)->0, absolute convergence and real-valued E(z)]

source roles = [[15/16, -16/17, 14], E(x),E(y) absolutely convergent]

derived = [for EVERY n,sum_k x^k*y^(n-k)/(k!*(n-k)!)=(x+y)^n/n!, E(x)E(y)=E(x+y)]

逐步反向核對

• S308 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S307 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S306 · premise_and_result_audit — 以精確有理數重算 Exp sum argument coefficient，不以小數近似替代。
• S305 · premise_and_result_audit — 以精確有理數重算 Exp sum argument factorial step14，不以小數近似替代。
• S304 · premise_and_result_audit — 以精確有理數重算 Exp sum argument factorial step13，不以小數近似替代。
• S303 · premise_and_result_audit — 以精確有理數重算 Exp sum argument factorial step12，不以小數近似替代。
• S302 · premise_and_result_audit — 以精確有理數重算 Exp sum argument factorial step11，不以小數近似替代。
• S301 · premise_and_result_audit — 以精確有理數重算 Exp sum argument factorial step10，不以小數近似替代。
• S300 · premise_and_result_audit — 以精確有理數重算 Exp sum argument factorial step9，不以小數近似替代。
• S299 · premise_and_result_audit — 以精確有理數重算 Exp sum argument factorial step8，不以小數近似替代。
• S298 · premise_and_result_audit — 以精確有理數重算 Exp sum argument factorial step7，不以小數近似替代。
• S297 · premise_and_result_audit — 以精確有理數重算 Exp sum argument factorial step6，不以小數近似替代。
• S296 · premise_and_result_audit — 以精確有理數重算 Exp sum argument factorial step5，不以小數近似替代。
• S295 · premise_and_result_audit — 以精確有理數重算 Exp sum argument factorial step4，不以小數近似替代。
• S294 · premise_and_result_audit — 以精確有理數重算 Exp sum argument factorial step3，不以小數近似替代。
• S293 · premise_and_result_audit — 以精確有理數重算 Exp sum argument factorial step2，不以小數近似替代。
• S292 · premise_and_result_audit — 以精確有理數重算 Exp sum argument factorial step1，不以小數近似替代。
• S291 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S290 · premise_and_result_audit — 以精確有理數重算 Exp ORIGINAL arguments sum，不以小數近似替代。
• S289 · premise_and_result_audit — 以精確有理數重算 Exp complete declared-degree convolution，不以小數近似替代。
• S288 · premise_and_result_audit — 以精確有理數重算 Exp convolution coefficient term14，不以小數近似替代。
• S287 · premise_and_result_audit — 以精確有理數重算 Exp convolution denominator14，不以小數近似替代。
• S286 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S285 · premise_and_result_audit — 以精確有理數重算 Exp convolution left14 factorial step14，不以小數近似替代。
• S284 · premise_and_result_audit — 以精確有理數重算 Exp convolution left14 factorial step13，不以小數近似替代。
• S283 · premise_and_result_audit — 以精確有理數重算 Exp convolution left14 factorial step12，不以小數近似替代。
• S282 · premise_and_result_audit — 以精確有理數重算 Exp convolution left14 factorial step11，不以小數近似替代。
• S281 · premise_and_result_audit — 以精確有理數重算 Exp convolution left14 factorial step10，不以小數近似替代。
• S280 · premise_and_result_audit — 以精確有理數重算 Exp convolution left14 factorial step9，不以小數近似替代。
• S279 · premise_and_result_audit — 以精確有理數重算 Exp convolution left14 factorial step8，不以小數近似替代。
• S278 · premise_and_result_audit — 以精確有理數重算 Exp convolution left14 factorial step7，不以小數近似替代。
• S277 · premise_and_result_audit — 以精確有理數重算 Exp convolution left14 factorial step6，不以小數近似替代。
• S276 · premise_and_result_audit — 以精確有理數重算 Exp convolution left14 factorial step5，不以小數近似替代。
• S275 · premise_and_result_audit — 以精確有理數重算 Exp convolution left14 factorial step4，不以小數近似替代。
• S274 · premise_and_result_audit — 以精確有理數重算 Exp convolution left14 factorial step3，不以小數近似替代。
• S273 · premise_and_result_audit — 以精確有理數重算 Exp convolution left14 factorial step2，不以小數近似替代。
• S272 · premise_and_result_audit — 以精確有理數重算 Exp convolution left14 factorial step1，不以小數近似替代。
• S271 · premise_and_result_audit — 以精確有理數重算 Exp convolution numerator14，不以小數近似替代。
• S270 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S269 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S268 · premise_and_result_audit — 以精確有理數重算 Exp convolution coefficient term13，不以小數近似替代。
• S267 · premise_and_result_audit — 以精確有理數重算 Exp convolution denominator13，不以小數近似替代。
• S266 · premise_and_result_audit — 以精確有理數重算 Exp convolution right13 factorial step1，不以小數近似替代。
• S265 · premise_and_result_audit — 以精確有理數重算 Exp convolution left13 factorial step13，不以小數近似替代。
• S264 · premise_and_result_audit — 以精確有理數重算 Exp convolution left13 factorial step12，不以小數近似替代。
• S263 · premise_and_result_audit — 以精確有理數重算 Exp convolution left13 factorial step11，不以小數近似替代。
• S262 · premise_and_result_audit — 以精確有理數重算 Exp convolution left13 factorial step10，不以小數近似替代。
• S261 · premise_and_result_audit — 以精確有理數重算 Exp convolution left13 factorial step9，不以小數近似替代。
• S260 · premise_and_result_audit — 以精確有理數重算 Exp convolution left13 factorial step8，不以小數近似替代。
• S259 · premise_and_result_audit — 以精確有理數重算 Exp convolution left13 factorial step7，不以小數近似替代。
• S258 · premise_and_result_audit — 以精確有理數重算 Exp convolution left13 factorial step6，不以小數近似替代。
• S257 · premise_and_result_audit — 以精確有理數重算 Exp convolution left13 factorial step5，不以小數近似替代。
• S256 · premise_and_result_audit — 以精確有理數重算 Exp convolution left13 factorial step4，不以小數近似替代。
• S255 · premise_and_result_audit — 以精確有理數重算 Exp convolution left13 factorial step3，不以小數近似替代。
• S254 · premise_and_result_audit — 以精確有理數重算 Exp convolution left13 factorial step2，不以小數近似替代。
• S253 · premise_and_result_audit — 以精確有理數重算 Exp convolution left13 factorial step1，不以小數近似替代。
• S252 · premise_and_result_audit — 以精確有理數重算 Exp convolution numerator13，不以小數近似替代。
• S251 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S250 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S249 · premise_and_result_audit — 以精確有理數重算 Exp convolution coefficient term12，不以小數近似替代。
• S248 · premise_and_result_audit — 以精確有理數重算 Exp convolution denominator12，不以小數近似替代。
• S247 · premise_and_result_audit — 以精確有理數重算 Exp convolution right12 factorial step2，不以小數近似替代。
• S246 · premise_and_result_audit — 以精確有理數重算 Exp convolution right12 factorial step1，不以小數近似替代。
• S245 · premise_and_result_audit — 以精確有理數重算 Exp convolution left12 factorial step12，不以小數近似替代。
• S244 · premise_and_result_audit — 以精確有理數重算 Exp convolution left12 factorial step11，不以小數近似替代。
• S243 · premise_and_result_audit — 以精確有理數重算 Exp convolution left12 factorial step10，不以小數近似替代。
• S242 · premise_and_result_audit — 以精確有理數重算 Exp convolution left12 factorial step9，不以小數近似替代。
• S241 · premise_and_result_audit — 以精確有理數重算 Exp convolution left12 factorial step8，不以小數近似替代。
• S240 · premise_and_result_audit — 以精確有理數重算 Exp convolution left12 factorial step7，不以小數近似替代。
• S239 · premise_and_result_audit — 以精確有理數重算 Exp convolution left12 factorial step6，不以小數近似替代。
• S238 · premise_and_result_audit — 以精確有理數重算 Exp convolution left12 factorial step5，不以小數近似替代。
• S237 · premise_and_result_audit — 以精確有理數重算 Exp convolution left12 factorial step4，不以小數近似替代。
• S236 · premise_and_result_audit — 以精確有理數重算 Exp convolution left12 factorial step3，不以小數近似替代。
• S235 · premise_and_result_audit — 以精確有理數重算 Exp convolution left12 factorial step2，不以小數近似替代。
• S234 · premise_and_result_audit — 以精確有理數重算 Exp convolution left12 factorial step1，不以小數近似替代。
• S233 · premise_and_result_audit — 以精確有理數重算 Exp convolution numerator12，不以小數近似替代。
• S232 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S231 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S230 · premise_and_result_audit — 以精確有理數重算 Exp convolution coefficient term11，不以小數近似替代。
• S229 · premise_and_result_audit — 以精確有理數重算 Exp convolution denominator11，不以小數近似替代。
• S228 · premise_and_result_audit — 以精確有理數重算 Exp convolution right11 factorial step3，不以小數近似替代。
• S227 · premise_and_result_audit — 以精確有理數重算 Exp convolution right11 factorial step2，不以小數近似替代。
• S226 · premise_and_result_audit — 以精確有理數重算 Exp convolution right11 factorial step1，不以小數近似替代。
• S225 · premise_and_result_audit — 以精確有理數重算 Exp convolution left11 factorial step11，不以小數近似替代。
• S224 · premise_and_result_audit — 以精確有理數重算 Exp convolution left11 factorial step10，不以小數近似替代。
• S223 · premise_and_result_audit — 以精確有理數重算 Exp convolution left11 factorial step9，不以小數近似替代。
• S222 · premise_and_result_audit — 以精確有理數重算 Exp convolution left11 factorial step8，不以小數近似替代。
• S221 · premise_and_result_audit — 以精確有理數重算 Exp convolution left11 factorial step7，不以小數近似替代。
• S220 · premise_and_result_audit — 以精確有理數重算 Exp convolution left11 factorial step6，不以小數近似替代。
• S219 · premise_and_result_audit — 以精確有理數重算 Exp convolution left11 factorial step5，不以小數近似替代。
• S218 · premise_and_result_audit — 以精確有理數重算 Exp convolution left11 factorial step4，不以小數近似替代。
• S217 · premise_and_result_audit — 以精確有理數重算 Exp convolution left11 factorial step3，不以小數近似替代。
• S216 · premise_and_result_audit — 以精確有理數重算 Exp convolution left11 factorial step2，不以小數近似替代。
• S215 · premise_and_result_audit — 以精確有理數重算 Exp convolution left11 factorial step1，不以小數近似替代。
• S214 · premise_and_result_audit — 以精確有理數重算 Exp convolution numerator11，不以小數近似替代。
• S213 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S212 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S211 · premise_and_result_audit — 以精確有理數重算 Exp convolution coefficient term10，不以小數近似替代。
• S210 · premise_and_result_audit — 以精確有理數重算 Exp convolution denominator10，不以小數近似替代。
• S209 · premise_and_result_audit — 以精確有理數重算 Exp convolution right10 factorial step4，不以小數近似替代。
• S208 · premise_and_result_audit — 以精確有理數重算 Exp convolution right10 factorial step3，不以小數近似替代。
• S207 · premise_and_result_audit — 以精確有理數重算 Exp convolution right10 factorial step2，不以小數近似替代。
• S206 · premise_and_result_audit — 以精確有理數重算 Exp convolution right10 factorial step1，不以小數近似替代。
• S205 · premise_and_result_audit — 以精確有理數重算 Exp convolution left10 factorial step10，不以小數近似替代。
• S204 · premise_and_result_audit — 以精確有理數重算 Exp convolution left10 factorial step9，不以小數近似替代。
• S203 · premise_and_result_audit — 以精確有理數重算 Exp convolution left10 factorial step8，不以小數近似替代。
• S202 · premise_and_result_audit — 以精確有理數重算 Exp convolution left10 factorial step7，不以小數近似替代。
• S201 · premise_and_result_audit — 以精確有理數重算 Exp convolution left10 factorial step6，不以小數近似替代。
• S200 · premise_and_result_audit — 以精確有理數重算 Exp convolution left10 factorial step5，不以小數近似替代。
• S199 · premise_and_result_audit — 以精確有理數重算 Exp convolution left10 factorial step4，不以小數近似替代。
• S198 · premise_and_result_audit — 以精確有理數重算 Exp convolution left10 factorial step3，不以小數近似替代。
• S197 · premise_and_result_audit — 以精確有理數重算 Exp convolution left10 factorial step2，不以小數近似替代。
• S196 · premise_and_result_audit — 以精確有理數重算 Exp convolution left10 factorial step1，不以小數近似替代。
• S195 · premise_and_result_audit — 以精確有理數重算 Exp convolution numerator10，不以小數近似替代。
• S194 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S193 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S192 · premise_and_result_audit — 以精確有理數重算 Exp convolution coefficient term9，不以小數近似替代。
• S191 · premise_and_result_audit — 以精確有理數重算 Exp convolution denominator9，不以小數近似替代。
• S190 · premise_and_result_audit — 以精確有理數重算 Exp convolution right9 factorial step5，不以小數近似替代。
• S189 · premise_and_result_audit — 以精確有理數重算 Exp convolution right9 factorial step4，不以小數近似替代。
• S188 · premise_and_result_audit — 以精確有理數重算 Exp convolution right9 factorial step3，不以小數近似替代。
• S187 · premise_and_result_audit — 以精確有理數重算 Exp convolution right9 factorial step2，不以小數近似替代。
• S186 · premise_and_result_audit — 以精確有理數重算 Exp convolution right9 factorial step1，不以小數近似替代。
• S185 · premise_and_result_audit — 以精確有理數重算 Exp convolution left9 factorial step9，不以小數近似替代。
• S184 · premise_and_result_audit — 以精確有理數重算 Exp convolution left9 factorial step8，不以小數近似替代。
• S183 · premise_and_result_audit — 以精確有理數重算 Exp convolution left9 factorial step7，不以小數近似替代。
• S182 · premise_and_result_audit — 以精確有理數重算 Exp convolution left9 factorial step6，不以小數近似替代。
• S181 · premise_and_result_audit — 以精確有理數重算 Exp convolution left9 factorial step5，不以小數近似替代。
• S180 · premise_and_result_audit — 以精確有理數重算 Exp convolution left9 factorial step4，不以小數近似替代。
• S179 · premise_and_result_audit — 以精確有理數重算 Exp convolution left9 factorial step3，不以小數近似替代。
• S178 · premise_and_result_audit — 以精確有理數重算 Exp convolution left9 factorial step2，不以小數近似替代。
• S177 · premise_and_result_audit — 以精確有理數重算 Exp convolution left9 factorial step1，不以小數近似替代。
• S176 · premise_and_result_audit — 以精確有理數重算 Exp convolution numerator9，不以小數近似替代。
• S175 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S174 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S173 · premise_and_result_audit — 以精確有理數重算 Exp convolution coefficient term8，不以小數近似替代。
• S172 · premise_and_result_audit — 以精確有理數重算 Exp convolution denominator8，不以小數近似替代。
• S171 · premise_and_result_audit — 以精確有理數重算 Exp convolution right8 factorial step6，不以小數近似替代。
• S170 · premise_and_result_audit — 以精確有理數重算 Exp convolution right8 factorial step5，不以小數近似替代。
• S169 · premise_and_result_audit — 以精確有理數重算 Exp convolution right8 factorial step4，不以小數近似替代。
• S168 · premise_and_result_audit — 以精確有理數重算 Exp convolution right8 factorial step3，不以小數近似替代。
• S167 · premise_and_result_audit — 以精確有理數重算 Exp convolution right8 factorial step2，不以小數近似替代。
• S166 · premise_and_result_audit — 以精確有理數重算 Exp convolution right8 factorial step1，不以小數近似替代。
• S165 · premise_and_result_audit — 以精確有理數重算 Exp convolution left8 factorial step8，不以小數近似替代。
• S164 · premise_and_result_audit — 以精確有理數重算 Exp convolution left8 factorial step7，不以小數近似替代。
• S163 · premise_and_result_audit — 以精確有理數重算 Exp convolution left8 factorial step6，不以小數近似替代。
• S162 · premise_and_result_audit — 以精確有理數重算 Exp convolution left8 factorial step5，不以小數近似替代。
• S161 · premise_and_result_audit — 以精確有理數重算 Exp convolution left8 factorial step4，不以小數近似替代。
• S160 · premise_and_result_audit — 以精確有理數重算 Exp convolution left8 factorial step3，不以小數近似替代。
• S159 · premise_and_result_audit — 以精確有理數重算 Exp convolution left8 factorial step2，不以小數近似替代。
• S158 · premise_and_result_audit — 以精確有理數重算 Exp convolution left8 factorial step1，不以小數近似替代。
• S157 · premise_and_result_audit — 以精確有理數重算 Exp convolution numerator8，不以小數近似替代。
• S156 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S155 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S154 · premise_and_result_audit — 以精確有理數重算 Exp convolution coefficient term7，不以小數近似替代。
• S153 · premise_and_result_audit — 以精確有理數重算 Exp convolution denominator7，不以小數近似替代。
• S152 · premise_and_result_audit — 以精確有理數重算 Exp convolution right7 factorial step7，不以小數近似替代。
• S151 · premise_and_result_audit — 以精確有理數重算 Exp convolution right7 factorial step6，不以小數近似替代。
• S150 · premise_and_result_audit — 以精確有理數重算 Exp convolution right7 factorial step5，不以小數近似替代。
• S149 · premise_and_result_audit — 以精確有理數重算 Exp convolution right7 factorial step4，不以小數近似替代。
• S148 · premise_and_result_audit — 以精確有理數重算 Exp convolution right7 factorial step3，不以小數近似替代。
• S147 · premise_and_result_audit — 以精確有理數重算 Exp convolution right7 factorial step2，不以小數近似替代。
• S146 · premise_and_result_audit — 以精確有理數重算 Exp convolution right7 factorial step1，不以小數近似替代。
• S145 · premise_and_result_audit — 以精確有理數重算 Exp convolution left7 factorial step7，不以小數近似替代。
• S144 · premise_and_result_audit — 以精確有理數重算 Exp convolution left7 factorial step6，不以小數近似替代。
• S143 · premise_and_result_audit — 以精確有理數重算 Exp convolution left7 factorial step5，不以小數近似替代。
• S142 · premise_and_result_audit — 以精確有理數重算 Exp convolution left7 factorial step4，不以小數近似替代。
• S141 · premise_and_result_audit — 以精確有理數重算 Exp convolution left7 factorial step3，不以小數近似替代。
• S140 · premise_and_result_audit — 以精確有理數重算 Exp convolution left7 factorial step2，不以小數近似替代。
• S139 · premise_and_result_audit — 以精確有理數重算 Exp convolution left7 factorial step1，不以小數近似替代。
• S138 · premise_and_result_audit — 以精確有理數重算 Exp convolution numerator7，不以小數近似替代。
• S137 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S136 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S135 · premise_and_result_audit — 以精確有理數重算 Exp convolution coefficient term6，不以小數近似替代。
• S134 · premise_and_result_audit — 以精確有理數重算 Exp convolution denominator6，不以小數近似替代。
• S133 · premise_and_result_audit — 以精確有理數重算 Exp convolution right6 factorial step8，不以小數近似替代。
• S132 · premise_and_result_audit — 以精確有理數重算 Exp convolution right6 factorial step7，不以小數近似替代。
• S131 · premise_and_result_audit — 以精確有理數重算 Exp convolution right6 factorial step6，不以小數近似替代。
• S130 · premise_and_result_audit — 以精確有理數重算 Exp convolution right6 factorial step5，不以小數近似替代。
• S129 · premise_and_result_audit — 以精確有理數重算 Exp convolution right6 factorial step4，不以小數近似替代。
• S128 · premise_and_result_audit — 以精確有理數重算 Exp convolution right6 factorial step3，不以小數近似替代。
• S127 · premise_and_result_audit — 以精確有理數重算 Exp convolution right6 factorial step2，不以小數近似替代。
• S126 · premise_and_result_audit — 以精確有理數重算 Exp convolution right6 factorial step1，不以小數近似替代。
• S125 · premise_and_result_audit — 以精確有理數重算 Exp convolution left6 factorial step6，不以小數近似替代。
• S124 · premise_and_result_audit — 以精確有理數重算 Exp convolution left6 factorial step5，不以小數近似替代。
• S123 · premise_and_result_audit — 以精確有理數重算 Exp convolution left6 factorial step4，不以小數近似替代。
• S122 · premise_and_result_audit — 以精確有理數重算 Exp convolution left6 factorial step3，不以小數近似替代。
• S121 · premise_and_result_audit — 以精確有理數重算 Exp convolution left6 factorial step2，不以小數近似替代。
• S120 · premise_and_result_audit — 以精確有理數重算 Exp convolution left6 factorial step1，不以小數近似替代。
• S119 · premise_and_result_audit — 以精確有理數重算 Exp convolution numerator6，不以小數近似替代。
• S118 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S117 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S116 · premise_and_result_audit — 以精確有理數重算 Exp convolution coefficient term5，不以小數近似替代。
• S115 · premise_and_result_audit — 以精確有理數重算 Exp convolution denominator5，不以小數近似替代。
• S114 · premise_and_result_audit — 以精確有理數重算 Exp convolution right5 factorial step9，不以小數近似替代。
• S113 · premise_and_result_audit — 以精確有理數重算 Exp convolution right5 factorial step8，不以小數近似替代。
• S112 · premise_and_result_audit — 以精確有理數重算 Exp convolution right5 factorial step7，不以小數近似替代。
• S111 · premise_and_result_audit — 以精確有理數重算 Exp convolution right5 factorial step6，不以小數近似替代。
• S110 · premise_and_result_audit — 以精確有理數重算 Exp convolution right5 factorial step5，不以小數近似替代。
• S109 · premise_and_result_audit — 以精確有理數重算 Exp convolution right5 factorial step4，不以小數近似替代。
• S108 · premise_and_result_audit — 以精確有理數重算 Exp convolution right5 factorial step3，不以小數近似替代。
• S107 · premise_and_result_audit — 以精確有理數重算 Exp convolution right5 factorial step2，不以小數近似替代。
• S106 · premise_and_result_audit — 以精確有理數重算 Exp convolution right5 factorial step1，不以小數近似替代。
• S105 · premise_and_result_audit — 以精確有理數重算 Exp convolution left5 factorial step5，不以小數近似替代。
• S104 · premise_and_result_audit — 以精確有理數重算 Exp convolution left5 factorial step4，不以小數近似替代。
• S103 · premise_and_result_audit — 以精確有理數重算 Exp convolution left5 factorial step3，不以小數近似替代。
• S102 · premise_and_result_audit — 以精確有理數重算 Exp convolution left5 factorial step2，不以小數近似替代。
• S101 · premise_and_result_audit — 以精確有理數重算 Exp convolution left5 factorial step1，不以小數近似替代。
• S100 · premise_and_result_audit — 以精確有理數重算 Exp convolution numerator5，不以小數近似替代。
• S099 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S098 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S097 · premise_and_result_audit — 以精確有理數重算 Exp convolution coefficient term4，不以小數近似替代。
• S096 · premise_and_result_audit — 以精確有理數重算 Exp convolution denominator4，不以小數近似替代。
• S095 · premise_and_result_audit — 以精確有理數重算 Exp convolution right4 factorial step10，不以小數近似替代。
• S094 · premise_and_result_audit — 以精確有理數重算 Exp convolution right4 factorial step9，不以小數近似替代。
• S093 · premise_and_result_audit — 以精確有理數重算 Exp convolution right4 factorial step8，不以小數近似替代。
• S092 · premise_and_result_audit — 以精確有理數重算 Exp convolution right4 factorial step7，不以小數近似替代。
• S091 · premise_and_result_audit — 以精確有理數重算 Exp convolution right4 factorial step6，不以小數近似替代。
• S090 · premise_and_result_audit — 以精確有理數重算 Exp convolution right4 factorial step5，不以小數近似替代。
• S089 · premise_and_result_audit — 以精確有理數重算 Exp convolution right4 factorial step4，不以小數近似替代。
• S088 · premise_and_result_audit — 以精確有理數重算 Exp convolution right4 factorial step3，不以小數近似替代。
• S087 · premise_and_result_audit — 以精確有理數重算 Exp convolution right4 factorial step2，不以小數近似替代。
• S086 · premise_and_result_audit — 以精確有理數重算 Exp convolution right4 factorial step1，不以小數近似替代。
• S085 · premise_and_result_audit — 以精確有理數重算 Exp convolution left4 factorial step4，不以小數近似替代。
• S084 · premise_and_result_audit — 以精確有理數重算 Exp convolution left4 factorial step3，不以小數近似替代。
• S083 · premise_and_result_audit — 以精確有理數重算 Exp convolution left4 factorial step2，不以小數近似替代。
• S082 · premise_and_result_audit — 以精確有理數重算 Exp convolution left4 factorial step1，不以小數近似替代。
• S081 · premise_and_result_audit — 以精確有理數重算 Exp convolution numerator4，不以小數近似替代。
• S080 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S079 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S078 · premise_and_result_audit — 以精確有理數重算 Exp convolution coefficient term3，不以小數近似替代。
• S077 · premise_and_result_audit — 以精確有理數重算 Exp convolution denominator3，不以小數近似替代。
• S076 · premise_and_result_audit — 以精確有理數重算 Exp convolution right3 factorial step11，不以小數近似替代。
• S075 · premise_and_result_audit — 以精確有理數重算 Exp convolution right3 factorial step10，不以小數近似替代。
• S074 · premise_and_result_audit — 以精確有理數重算 Exp convolution right3 factorial step9，不以小數近似替代。
• S073 · premise_and_result_audit — 以精確有理數重算 Exp convolution right3 factorial step8，不以小數近似替代。
• S072 · premise_and_result_audit — 以精確有理數重算 Exp convolution right3 factorial step7，不以小數近似替代。
• S071 · premise_and_result_audit — 以精確有理數重算 Exp convolution right3 factorial step6，不以小數近似替代。
• S070 · premise_and_result_audit — 以精確有理數重算 Exp convolution right3 factorial step5，不以小數近似替代。
• S069 · premise_and_result_audit — 以精確有理數重算 Exp convolution right3 factorial step4，不以小數近似替代。
• S068 · premise_and_result_audit — 以精確有理數重算 Exp convolution right3 factorial step3，不以小數近似替代。
• S067 · premise_and_result_audit — 以精確有理數重算 Exp convolution right3 factorial step2，不以小數近似替代。
• S066 · premise_and_result_audit — 以精確有理數重算 Exp convolution right3 factorial step1，不以小數近似替代。
• S065 · premise_and_result_audit — 以精確有理數重算 Exp convolution left3 factorial step3，不以小數近似替代。
• S064 · premise_and_result_audit — 以精確有理數重算 Exp convolution left3 factorial step2，不以小數近似替代。
• S063 · premise_and_result_audit — 以精確有理數重算 Exp convolution left3 factorial step1，不以小數近似替代。
• S062 · premise_and_result_audit — 以精確有理數重算 Exp convolution numerator3，不以小數近似替代。
• S061 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S060 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S059 · premise_and_result_audit — 以精確有理數重算 Exp convolution coefficient term2，不以小數近似替代。
• S058 · premise_and_result_audit — 以精確有理數重算 Exp convolution denominator2，不以小數近似替代。
• S057 · premise_and_result_audit — 以精確有理數重算 Exp convolution right2 factorial step12，不以小數近似替代。
• S056 · premise_and_result_audit — 以精確有理數重算 Exp convolution right2 factorial step11，不以小數近似替代。
• S055 · premise_and_result_audit — 以精確有理數重算 Exp convolution right2 factorial step10，不以小數近似替代。
• S054 · premise_and_result_audit — 以精確有理數重算 Exp convolution right2 factorial step9，不以小數近似替代。
• S053 · premise_and_result_audit — 以精確有理數重算 Exp convolution right2 factorial step8，不以小數近似替代。
• S052 · premise_and_result_audit — 以精確有理數重算 Exp convolution right2 factorial step7，不以小數近似替代。
• S051 · premise_and_result_audit — 以精確有理數重算 Exp convolution right2 factorial step6，不以小數近似替代。
• S050 · premise_and_result_audit — 以精確有理數重算 Exp convolution right2 factorial step5，不以小數近似替代。
• S049 · premise_and_result_audit — 以精確有理數重算 Exp convolution right2 factorial step4，不以小數近似替代。
• S048 · premise_and_result_audit — 以精確有理數重算 Exp convolution right2 factorial step3，不以小數近似替代。
• S047 · premise_and_result_audit — 以精確有理數重算 Exp convolution right2 factorial step2，不以小數近似替代。
• S046 · premise_and_result_audit — 以精確有理數重算 Exp convolution right2 factorial step1，不以小數近似替代。
• S045 · premise_and_result_audit — 以精確有理數重算 Exp convolution left2 factorial step2，不以小數近似替代。
• S044 · premise_and_result_audit — 以精確有理數重算 Exp convolution left2 factorial step1，不以小數近似替代。
• S043 · premise_and_result_audit — 以精確有理數重算 Exp convolution numerator2，不以小數近似替代。
• S042 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S041 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S040 · premise_and_result_audit — 以精確有理數重算 Exp convolution coefficient term1，不以小數近似替代。
• S039 · premise_and_result_audit — 以精確有理數重算 Exp convolution denominator1，不以小數近似替代。
• S038 · premise_and_result_audit — 以精確有理數重算 Exp convolution right1 factorial step13，不以小數近似替代。
• S037 · premise_and_result_audit — 以精確有理數重算 Exp convolution right1 factorial step12，不以小數近似替代。
• S036 · premise_and_result_audit — 以精確有理數重算 Exp convolution right1 factorial step11，不以小數近似替代。
• S035 · premise_and_result_audit — 以精確有理數重算 Exp convolution right1 factorial step10，不以小數近似替代。
• S034 · premise_and_result_audit — 以精確有理數重算 Exp convolution right1 factorial step9，不以小數近似替代。
• S033 · premise_and_result_audit — 以精確有理數重算 Exp convolution right1 factorial step8，不以小數近似替代。
• S032 · premise_and_result_audit — 以精確有理數重算 Exp convolution right1 factorial step7，不以小數近似替代。
• S031 · premise_and_result_audit — 以精確有理數重算 Exp convolution right1 factorial step6，不以小數近似替代。
• S030 · premise_and_result_audit — 以精確有理數重算 Exp convolution right1 factorial step5，不以小數近似替代。
• S029 · premise_and_result_audit — 以精確有理數重算 Exp convolution right1 factorial step4，不以小數近似替代。
• S028 · premise_and_result_audit — 以精確有理數重算 Exp convolution right1 factorial step3，不以小數近似替代。
• S027 · premise_and_result_audit — 以精確有理數重算 Exp convolution right1 factorial step2，不以小數近似替代。
• S026 · premise_and_result_audit — 以精確有理數重算 Exp convolution right1 factorial step1，不以小數近似替代。
• S025 · premise_and_result_audit — 以精確有理數重算 Exp convolution left1 factorial step1，不以小數近似替代。
• S024 · premise_and_result_audit — 以精確有理數重算 Exp convolution numerator1，不以小數近似替代。
• S023 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S022 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S021 · premise_and_result_audit — 以精確有理數重算 Exp convolution coefficient term0，不以小數近似替代。
• S020 · premise_and_result_audit — 以精確有理數重算 Exp convolution denominator0，不以小數近似替代。
• S019 · premise_and_result_audit — 以精確有理數重算 Exp convolution right0 factorial step14，不以小數近似替代。
• S018 · premise_and_result_audit — 以精確有理數重算 Exp convolution right0 factorial step13，不以小數近似替代。
• S017 · premise_and_result_audit — 以精確有理數重算 Exp convolution right0 factorial step12，不以小數近似替代。
• S016 · premise_and_result_audit — 以精確有理數重算 Exp convolution right0 factorial step11，不以小數近似替代。
• S015 · premise_and_result_audit — 以精確有理數重算 Exp convolution right0 factorial step10，不以小數近似替代。
• S014 · premise_and_result_audit — 以精確有理數重算 Exp convolution right0 factorial step9，不以小數近似替代。
• S013 · premise_and_result_audit — 以精確有理數重算 Exp convolution right0 factorial step8，不以小數近似替代。
• S012 · premise_and_result_audit — 以精確有理數重算 Exp convolution right0 factorial step7，不以小數近似替代。
• S011 · premise_and_result_audit — 以精確有理數重算 Exp convolution right0 factorial step6，不以小數近似替代。
• S010 · premise_and_result_audit — 以精確有理數重算 Exp convolution right0 factorial step5，不以小數近似替代。
• S009 · premise_and_result_audit — 以精確有理數重算 Exp convolution right0 factorial step4，不以小數近似替代。
• S008 · premise_and_result_audit — 以精確有理數重算 Exp convolution right0 factorial step3，不以小數近似替代。
• S007 · premise_and_result_audit — 以精確有理數重算 Exp convolution right0 factorial step2，不以小數近似替代。
• S006 · premise_and_result_audit — 以精確有理數重算 Exp convolution right0 factorial step1，不以小數近似替代。
• S005 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S004 · premise_and_result_audit — 以精確有理數重算 Exp convolution numerator0，不以小數近似替代。
• S003 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S002 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。
• S001 · premise_and_result_audit — 回到原始資料與本步條件核對，不把單向推論誤稱等價。

結論

(15/16, -16/17, 14, [[0, 35184372088832/7167427341512963030230725], [1, -274877906944/4015365457430231389485], [2, 536870912/1211271631200673119], [3, -41943040/23750424141189669], [4, 204800/42335871909429], [5, -8000/830115135479], [6, 5625/390642416696], [7, -84375/5147288314112], [8, 1265625/88585264431104], [9, -6328125/666994932187136], [10, 94921875/20088317957636096], [11, -1423828125/831892696598577152], [12, 21357421875/50109301253937823744], [13, -320361328125/4904816310973678747648], [14, 4805419921875/1034050685795862625386496]], 1/1057725582686384458266478824154331142212812800, 1/1057725582686384458266478824154331142212812800, 是, binomial_convolution_matches_the_declared_degree;the_general_addition_law_requires_all_degrees_plus_absolute_convergence_for_Cauchy_product_rearrangement)

依上列完整代值及條件核對得到原題答案；原題編號、格式與狀態保持不變。

本題覆核與來源綁定

覆核日期：2026-10-26

原題、答案、步驟表達式、數值 AST 與既有歷史保持原樣；原來的候選狀態屬於來源歷史，不覆寫為形式化證明。