SlideShare a Scribd company logo
1 of 4
INDIVIDUAL TASK 3.5
AYU NITASARI (4101414150)
1. Give an example of a bounded sequence that is not a Cauchy sequence.
Solution:
Consider the sequence {(−1) 𝑛
}, 𝑛 = 1,2,3, . . .. It is bounded but not Cauchy
Notice that if 𝑛 is even then 𝑎 𝑛 = 1, and so 𝑎 𝑛+1 = −1. Choose𝜀0 = 2, and select any even
𝑛 such that 𝑛 ≥ 𝑁 ∈ 𝑁. Then choose 𝑚 = 𝑛 + 1. Therefore ∣ 𝑥𝑛 − 𝑥𝑚 ∣=∣ 1 − (−1) ∣=
2 ≥ 𝜀0 = 2. So ((−1) 𝑛
) is not Cauchy.
2. Show directly from the definition that the following are Cauchy sequences.
(a) (
𝑛+1
𝑛
)
(b) (1 +
1
2!
+ ⋯+
1
𝑛!
)
Solution:
a) Let 𝑋 = (
𝑛+1
𝑛
).
Will be proven 𝑋 = (
𝑛+1
𝑛
) is Cauchy sequence.
Proof:
Let 𝑥 𝑛 ≔
𝑛+1
𝑛
.
So we can chage 𝑥 𝑛 ≔
𝑛+1
𝑛
= 1 +
1
𝑛
.
If 𝑛 > 𝑚 then get | 𝑥 𝑛 − 𝑥 𝑚| = |
1
𝑛
−
1
𝑚
| ≤
1
𝑛
+
1
𝑚
.
If given 𝜀 > 0, tehn we choose 𝐻 = 𝐻( 𝜀) ∈ ℕ ∋ 𝐻 >
2
𝜀
.
If 𝑛, 𝑚 ≥ 𝐻 then
1
𝑛
,
1
𝑚
≤
1
𝐻
<
𝜀
2
, result | 𝑥 𝑛 − 𝑥 𝑚| <
𝜀
2
+
𝜀
2
= 𝜀.
So, we can conclude that X is Cauchy sequence.
b) Let 𝑋 = (1 +
1
2!
+ ⋯+
1
𝑛!
)
Will be proven 𝑋 = (1 +
1
2!
+ ⋯ +
1
𝑛!
) isCauchy sequence.
Proof:
From definotion Cauchy sequence: Sequence 𝑋 = (𝑥 𝑛)said Cauchy Sequence : if
∀ 𝜀 > 0 ∃ 𝐻( 𝜀) 𝜖 ℕ ∋ 𝑚, 𝑛 ≥ 𝐻( 𝜀), then 𝑥 𝑚 and 𝑥 𝑛 satisfies | 𝑥 𝑛 − 𝑥 𝑚| < 𝜀.
So if 𝜀 > 0 choose 𝐻 = 𝐻( 𝜀) ∈ ℕ ∋ 𝐻 >
2
𝜀
Then from definition 𝑚, 𝑛 ≥ 𝐻, then 𝑥 𝑚 and 𝑥 𝑛 satisfies | 𝑥 𝑛 − 𝑥 𝑚| = |
1
𝑛!
−
1
𝑚!
| ≤
1
𝑛!
+
1
𝑚!
<
𝜀
2
+
𝜀
2
= 𝜀
Because 𝜀 > 0, | 𝑥 𝑛 − 𝑥 𝑚| < 𝜀 then 𝑥 𝑛 = (
1
𝑛!
)is Cauchy sequence.
3. Show directly from the definition that the following are not Cauchy sequences.
(a) ((−1) 𝑛)
(b) (𝑛 +
(−1) 𝑛
𝑛
)
(c) (ln 𝑛)
Solution:
a) Let 𝑋 = ( 𝑥 𝑛) ≔ ((−1) 𝑛
)
Will be proven X is not Cauchy sequence.
Proof:
Obvious if n even number then 𝑥 𝑛 = 1 and 𝑥 𝑛+1 = −1.
If we choose 𝑛 > 𝐻 ∈ ℕ and let 𝑚 = 𝑛 + 1, then
| 𝑥 𝑛 − 𝑥 𝑚| = |1 − (−1)| = 1 + 1 = 2
So sequence (−1) 𝑛
) is not Cauchy sequence.
Another way:
Defined 𝑥 𝑛 ≔ (−1) 𝑛
.
Then if 𝑛 > 𝑚 then
| 𝑥 𝑛 − 𝑥 𝑚| = |(−1) 𝑛
− (−1) 𝑚| ≤ |(−1) 𝑛
+ (−1) 𝑚| = 2.
So, if we choose 𝜀0 = 2 then
∀ 𝐻( 𝜀0) ∈ ℕ∃ 𝑛 > 𝑚 > 𝐻( 𝜀0) ∋ | 𝑥 𝑛 − 𝑥 𝑚| ≤ 𝜀0 .
Because of that sequence (−1) 𝑛
) is not Cauchy sequence.
b) Let :𝑋 = (𝑛 +
(−1) 𝑛
𝑛
)
Will be proven X is not Cauchy sequence.
Proof :
Negation of Chaucy sequence is:
∃𝜀0 > 0 ∀𝐻 ∃ 𝑚𝑖𝑛. 1 𝑛 > 𝐻 𝑎𝑛𝑑 𝑚𝑖𝑛.1 𝑚 > 𝐻 ∋ | 𝑥 𝑛 − 𝑥 𝑚| ≥ 𝜀0 .
Let 𝑥 𝑛 = (𝑛 +
(−1) 𝑛
𝑛
)
If n even then 𝑥 𝑛 = (𝑛 +
(−1) 𝑛
𝑛
) = 𝑛 +
1
𝑛
=
𝑛2
+1
𝑛
And 𝑥 𝑛+1 = 1 +
(−1) 𝑛+1
𝑛
= 𝑛 +
(−1) 𝑛(−1)
𝑛
= 𝑛 −
1
𝑛
=
𝑛2
−1
𝑛
If we choose 𝜀0 =
2
𝑛
then for every 𝐻 we can choose 𝑛 > 𝐻 ∈ even number
And let
𝑚 ≔ 𝑛 + 1, m even and 𝑚 > 𝐻
| 𝑥 𝑛 − 𝑥 𝑚| = | 𝑥 𝑛 − 𝑥 𝑛+1| =
𝑛2
+ 1
𝑛
−
𝑛2
− 1
𝑛
=
𝑛2
+ 1 − 𝑛2
+ 1
𝑛
=
2
𝑛
= 𝜀0
So sequence (𝑋 𝑛) is not Cauchy sequence
c) (𝑙𝑛 𝑛) is not bounded so its certainly its not Cauchy sequence. This can be frooved using
the definition : pick 𝜀 = 1, we can find 𝐾 such that for any 𝑛, 𝑚 ≥ 𝐾 one has
|ln 𝑛 − ln 𝑚| = |ln
𝑛
𝑚
| < 1 ? No, take 𝑛 = 5𝑚 > 𝑚 ≥ 𝐾 the ln
6𝑚
𝑚
= ln 6 > 1
4. Show directly from the definition that if (𝑥 𝑛) and (𝑦 𝑛) are Cauchy sequences, then
( 𝑥 𝑛 + 𝑦 𝑛) and ( 𝑥 𝑛 𝑦 𝑛) are Cauchy sequences.
Solution:
Let ( 𝑥 𝑛) and (𝑦 𝑛) Cauchy sequence.
Will be proven ( 𝑥 𝑛 + 𝑦 𝑛) and (𝑥 𝑛 𝑦 𝑛) Cauchy sequence.
Proof:
Will be proven.( 𝑥 𝑛 + 𝑦 𝑛)Cauchy sequence.
𝜀 > 0 ⟹ 𝐻 = 𝐻( 𝜀0) ∈ ℕ ∋ 𝐻 >
2
𝜀
.
Becouse of ( 𝑥 𝑛) and ( 𝑦 𝑛) Cauchy sequence ∀𝑛, 𝑚 ≥ 𝐻 we get | 𝑥 𝑛 − 𝑥 𝑚| <
𝜀
2
and
| 𝑦 𝑛 − 𝑦 𝑚| <
𝜀
2
.
Let 𝑧 𝑛 ≔ 𝑥 𝑛 + 𝑦 𝑛 . Then ∀𝑛, 𝑚 ≥ 𝐻 we get
| 𝑧 𝑛 − 𝑧 𝑚| = | 𝑥 𝑛 + 𝑦 𝑛 − ( 𝑥 𝑚 + 𝑦 𝑚)|
= |( 𝑥 𝑛 − 𝑥 𝑚) + ( 𝑦 𝑛 − 𝑦 𝑚)| ≤ | 𝑥 𝑛 − 𝑥 𝑚| + | 𝑦 𝑛 − 𝑦 𝑚|
<
𝜀
2
+
𝜀
2
= 𝜀
So, sequence .( 𝑥 𝑛 + 𝑦 𝑛) 𝑖𝑠 Cauchy sequence.
Will be proven .( 𝑥 𝑛 𝑦 𝑛)Cauchy sequence.
𝜀 > 0 ⟹ 𝐻 = 𝐻( 𝜀0) ∈ ℕ ∋ 𝐻 >
2
𝜀
.
Becouse of ( 𝑥 𝑛) and ( 𝑦 𝑛) Cauchy sequence ∀𝑛, 𝑚 ≥ 𝐻 we get | 𝑥 𝑛 − 𝑥 𝑚| < √ 𝜀and
| 𝑦 𝑛 − 𝑦 𝑚| < √ 𝜀.
Let 𝑧 𝑛 ≔ 𝑥 𝑛 𝑦 𝑛 . Then ∀𝑛, 𝑚 ≥ 𝐻 we get
| 𝑧 𝑛 − 𝑧 𝑚| = |( 𝑥 𝑛 𝑦 𝑛) − ( 𝑥 𝑚 𝑦 𝑚)| ≤ | 𝑥 𝑛 𝑦 𝑛| + | 𝑥 𝑚 𝑦 𝑚|
≤ | 𝑥 𝑛 − 𝑥 𝑚|| 𝑥 𝑚 − 𝑦 𝑚| − | 𝑥 𝑚 𝑦 𝑛| − |𝑥 𝑛 𝑦 𝑚|
< √ 𝜀√ 𝜀 − | 𝑥 𝑚 𝑦 𝑛| − | 𝑥 𝑛 𝑦 𝑚|
< 𝜀 − | 𝑥 𝑚 𝑦 𝑛| − | 𝑥 𝑛 𝑦 𝑚|
So sequence.( 𝑥 𝑛 𝑦𝑛) 𝑖𝑠 Cauchy sequence.

More Related Content

What's hot

Analisis real-lengkap-a1c
Analisis real-lengkap-a1cAnalisis real-lengkap-a1c
Analisis real-lengkap-a1cUmmu Zuhry
 
Rangkuman materi Hasilkali Transformasi
Rangkuman materi Hasilkali TransformasiRangkuman materi Hasilkali Transformasi
Rangkuman materi Hasilkali TransformasiNia Matus
 
Teori bilangan bab ii
Teori bilangan bab iiTeori bilangan bab ii
Teori bilangan bab iiSeptian Amri
 
Rangkuman materi Isometri
Rangkuman materi IsometriRangkuman materi Isometri
Rangkuman materi IsometriNia Matus
 
Analisis Real (Barisan dan Bilangan Real) Latihan bagian 2.5
Analisis Real (Barisan dan Bilangan Real) Latihan bagian 2.5Analisis Real (Barisan dan Bilangan Real) Latihan bagian 2.5
Analisis Real (Barisan dan Bilangan Real) Latihan bagian 2.5Arvina Frida Karela
 
Sistem Pertidaksamaan Dua Variabel
Sistem Pertidaksamaan Dua VariabelSistem Pertidaksamaan Dua Variabel
Sistem Pertidaksamaan Dua VariabelFranxisca Kurniawati
 
PEMETAAN STRUKTUR ALJABAR
PEMETAAN STRUKTUR ALJABARPEMETAAN STRUKTUR ALJABAR
PEMETAAN STRUKTUR ALJABARNailul Hasibuan
 
Binomial dan Multinomial
Binomial dan MultinomialBinomial dan Multinomial
Binomial dan MultinomialHeni Widayani
 
Pencerminan geser fix
Pencerminan geser fixPencerminan geser fix
Pencerminan geser fixNia Matus
 
Persamaan dan pertidaksamaan nilai harga mutlak
Persamaan dan pertidaksamaan nilai harga mutlakPersamaan dan pertidaksamaan nilai harga mutlak
Persamaan dan pertidaksamaan nilai harga mutlakMono Manullang
 
BAB 1 Transformasi
BAB 1 Transformasi BAB 1 Transformasi
BAB 1 Transformasi Nia Matus
 
Kelipatan persekutuan terkecil KPK teobil
Kelipatan persekutuan terkecil KPK teobilKelipatan persekutuan terkecil KPK teobil
Kelipatan persekutuan terkecil KPK teobilNailul Hasibuan
 

What's hot (20)

Ring
RingRing
Ring
 
Analisis real-lengkap-a1c
Analisis real-lengkap-a1cAnalisis real-lengkap-a1c
Analisis real-lengkap-a1c
 
Grup siklik
Grup siklikGrup siklik
Grup siklik
 
Analisis real-lengkap-a1c
Analisis real-lengkap-a1cAnalisis real-lengkap-a1c
Analisis real-lengkap-a1c
 
Rangkuman materi Hasilkali Transformasi
Rangkuman materi Hasilkali TransformasiRangkuman materi Hasilkali Transformasi
Rangkuman materi Hasilkali Transformasi
 
Fungsi Pembangkit
Fungsi PembangkitFungsi Pembangkit
Fungsi Pembangkit
 
Jawaban Soal Latihan
Jawaban Soal LatihanJawaban Soal Latihan
Jawaban Soal Latihan
 
Teori bilangan bab ii
Teori bilangan bab iiTeori bilangan bab ii
Teori bilangan bab ii
 
Rangkuman materi Isometri
Rangkuman materi IsometriRangkuman materi Isometri
Rangkuman materi Isometri
 
Geometri netral (Neutral Geometry)
Geometri netral (Neutral Geometry)Geometri netral (Neutral Geometry)
Geometri netral (Neutral Geometry)
 
Analisis Real (Barisan dan Bilangan Real) Latihan bagian 2.5
Analisis Real (Barisan dan Bilangan Real) Latihan bagian 2.5Analisis Real (Barisan dan Bilangan Real) Latihan bagian 2.5
Analisis Real (Barisan dan Bilangan Real) Latihan bagian 2.5
 
Sistem Pertidaksamaan Dua Variabel
Sistem Pertidaksamaan Dua VariabelSistem Pertidaksamaan Dua Variabel
Sistem Pertidaksamaan Dua Variabel
 
PEMETAAN STRUKTUR ALJABAR
PEMETAAN STRUKTUR ALJABARPEMETAAN STRUKTUR ALJABAR
PEMETAAN STRUKTUR ALJABAR
 
Binomial dan Multinomial
Binomial dan MultinomialBinomial dan Multinomial
Binomial dan Multinomial
 
Pencerminan geser fix
Pencerminan geser fixPencerminan geser fix
Pencerminan geser fix
 
Persamaan dan pertidaksamaan nilai harga mutlak
Persamaan dan pertidaksamaan nilai harga mutlakPersamaan dan pertidaksamaan nilai harga mutlak
Persamaan dan pertidaksamaan nilai harga mutlak
 
Pembuktian dalil 9-18
Pembuktian dalil 9-18Pembuktian dalil 9-18
Pembuktian dalil 9-18
 
BAB 1 Transformasi
BAB 1 Transformasi BAB 1 Transformasi
BAB 1 Transformasi
 
Kelipatan persekutuan terkecil KPK teobil
Kelipatan persekutuan terkecil KPK teobilKelipatan persekutuan terkecil KPK teobil
Kelipatan persekutuan terkecil KPK teobil
 
Matematika diskrit
Matematika diskritMatematika diskrit
Matematika diskrit
 

Viewers also liked

Fungsi dan prinsip bimbingan dan konseling
Fungsi dan prinsip bimbingan dan konselingFungsi dan prinsip bimbingan dan konseling
Fungsi dan prinsip bimbingan dan konselingAyu Nitasari
 
Conferencia en Daroca sobre la crisis
Conferencia en Daroca sobre la crisisConferencia en Daroca sobre la crisis
Conferencia en Daroca sobre la crisisAFICE
 
Articulo madres profesionales en formacion
Articulo madres profesionales en formacionArticulo madres profesionales en formacion
Articulo madres profesionales en formacionMaricela
 
Perda 15 2004 ijin pembuangan limbah cair
Perda 15   2004 ijin pembuangan limbah cairPerda 15   2004 ijin pembuangan limbah cair
Perda 15 2004 ijin pembuangan limbah cairPurwani Handayani
 
C O N S T R U T O R E S D A V I D A Mensagem Do Dia 01
C O N S T R U T O R E S  D A  V I D A   Mensagem Do Dia 01C O N S T R U T O R E S  D A  V I D A   Mensagem Do Dia 01
C O N S T R U T O R E S D A V I D A Mensagem Do Dia 01carmensilviapontaldi
 
Company Profile PT SKY LAB
Company Profile PT SKY LABCompany Profile PT SKY LAB
Company Profile PT SKY LABGatot Wahyu
 
Estrategias para superar y resolver la decoherencia cuántica
Estrategias para superar y resolver la decoherencia cuánticaEstrategias para superar y resolver la decoherencia cuántica
Estrategias para superar y resolver la decoherencia cuánticaMiguel Ramos
 
Colorido Natural[1]
Colorido Natural[1]Colorido Natural[1]
Colorido Natural[1]marcelino4
 
Capitulo1
Capitulo1Capitulo1
Capitulo1elink02
 
Lessons learnt from Alberta - May 2012
Lessons learnt from Alberta - May 2012Lessons learnt from Alberta - May 2012
Lessons learnt from Alberta - May 2012Global CCS Institute
 
Kohi seniorschoolpresentation13
Kohi seniorschoolpresentation13Kohi seniorschoolpresentation13
Kohi seniorschoolpresentation13jmilne7
 
José isidoro gonzález tamayo
José isidoro gonzález tamayoJosé isidoro gonzález tamayo
José isidoro gonzález tamayoalcaldia municipal
 

Viewers also liked (20)

Lks lingkaran
Lks lingkaranLks lingkaran
Lks lingkaran
 
Fungsi dan prinsip bimbingan dan konseling
Fungsi dan prinsip bimbingan dan konselingFungsi dan prinsip bimbingan dan konseling
Fungsi dan prinsip bimbingan dan konseling
 
Recado
RecadoRecado
Recado
 
Conferencia en Daroca sobre la crisis
Conferencia en Daroca sobre la crisisConferencia en Daroca sobre la crisis
Conferencia en Daroca sobre la crisis
 
Articulo madres profesionales en formacion
Articulo madres profesionales en formacionArticulo madres profesionales en formacion
Articulo madres profesionales en formacion
 
Wood derived chemicals
Wood derived chemicalsWood derived chemicals
Wood derived chemicals
 
Perda 15 2004 ijin pembuangan limbah cair
Perda 15   2004 ijin pembuangan limbah cairPerda 15   2004 ijin pembuangan limbah cair
Perda 15 2004 ijin pembuangan limbah cair
 
C O N S T R U T O R E S D A V I D A Mensagem Do Dia 01
C O N S T R U T O R E S  D A  V I D A   Mensagem Do Dia 01C O N S T R U T O R E S  D A  V I D A   Mensagem Do Dia 01
C O N S T R U T O R E S D A V I D A Mensagem Do Dia 01
 
Oer examples and websites
Oer examples and websitesOer examples and websites
Oer examples and websites
 
Resumen ejecutivo
Resumen ejecutivoResumen ejecutivo
Resumen ejecutivo
 
Company Profile PT SKY LAB
Company Profile PT SKY LABCompany Profile PT SKY LAB
Company Profile PT SKY LAB
 
O Mar Registo Erros
O Mar Registo ErrosO Mar Registo Erros
O Mar Registo Erros
 
Estrategias para superar y resolver la decoherencia cuántica
Estrategias para superar y resolver la decoherencia cuánticaEstrategias para superar y resolver la decoherencia cuántica
Estrategias para superar y resolver la decoherencia cuántica
 
Colorido Natural[1]
Colorido Natural[1]Colorido Natural[1]
Colorido Natural[1]
 
Capitulo1
Capitulo1Capitulo1
Capitulo1
 
Diplomas 2014
Diplomas 2014Diplomas 2014
Diplomas 2014
 
Mejores Imagenes(10) Maiwald
Mejores  Imagenes(10) MaiwaldMejores  Imagenes(10) Maiwald
Mejores Imagenes(10) Maiwald
 
Lessons learnt from Alberta - May 2012
Lessons learnt from Alberta - May 2012Lessons learnt from Alberta - May 2012
Lessons learnt from Alberta - May 2012
 
Kohi seniorschoolpresentation13
Kohi seniorschoolpresentation13Kohi seniorschoolpresentation13
Kohi seniorschoolpresentation13
 
José isidoro gonzález tamayo
José isidoro gonzález tamayoJosé isidoro gonzález tamayo
José isidoro gonzález tamayo
 

Similar to Analisis Rill Tugas 3.5

ANALISIS RIIL 1 3.2 ROBERT G BARTLE
ANALISIS RIIL 1 3.2 ROBERT G BARTLEANALISIS RIIL 1 3.2 ROBERT G BARTLE
ANALISIS RIIL 1 3.2 ROBERT G BARTLEMuhammad Nur Chalim
 
Homogeneous Linear Differential Equations
 Homogeneous Linear Differential Equations Homogeneous Linear Differential Equations
Homogeneous Linear Differential EquationsAMINULISLAM439
 
Lecture-1-Mech.pptx . .
Lecture-1-Mech.pptx                   . .Lecture-1-Mech.pptx                   . .
Lecture-1-Mech.pptx . .happycocoman
 
FOURIER SERIES Presentation of given functions.pptx
FOURIER SERIES Presentation of given functions.pptxFOURIER SERIES Presentation of given functions.pptx
FOURIER SERIES Presentation of given functions.pptxjyotidighole2
 
One solution for many linear partial differential equations with terms of equ...
One solution for many linear partial differential equations with terms of equ...One solution for many linear partial differential equations with terms of equ...
One solution for many linear partial differential equations with terms of equ...Lossian Barbosa Bacelar Miranda
 
BSC_COMPUTER _SCIENCE_UNIT-2_DISCRETE MATHEMATICS
BSC_COMPUTER _SCIENCE_UNIT-2_DISCRETE MATHEMATICSBSC_COMPUTER _SCIENCE_UNIT-2_DISCRETE MATHEMATICS
BSC_COMPUTER _SCIENCE_UNIT-2_DISCRETE MATHEMATICSRai University
 
Functions of severable variables
Functions of severable variablesFunctions of severable variables
Functions of severable variablesSanthanam Krishnan
 
Exercices calculs de_primitives
Exercices calculs de_primitivesExercices calculs de_primitives
Exercices calculs de_primitivesZaakXO
 
Study Material Numerical Solution of Odinary Differential Equations
Study Material Numerical Solution of Odinary Differential EquationsStudy Material Numerical Solution of Odinary Differential Equations
Study Material Numerical Solution of Odinary Differential EquationsMeenakshisundaram N
 
Laurents & Taylors series of complex numbers.pptx
Laurents & Taylors series of complex numbers.pptxLaurents & Taylors series of complex numbers.pptx
Laurents & Taylors series of complex numbers.pptxjyotidighole2
 
Paul Bleau Calc III Project 2 - Basel Problem
Paul Bleau Calc III Project 2 - Basel ProblemPaul Bleau Calc III Project 2 - Basel Problem
Paul Bleau Calc III Project 2 - Basel ProblemPaul Bleau
 
A Fifth-Order Iterative Method for Solving Nonlinear Equations
A Fifth-Order Iterative Method for Solving Nonlinear EquationsA Fifth-Order Iterative Method for Solving Nonlinear Equations
A Fifth-Order Iterative Method for Solving Nonlinear Equationsinventionjournals
 
Assignment_1_solutions.pdf
Assignment_1_solutions.pdfAssignment_1_solutions.pdf
Assignment_1_solutions.pdfAbhayRupareliya1
 
Ordinary Differential Equations: Variable separation method
Ordinary Differential Equations: Variable separation method  Ordinary Differential Equations: Variable separation method
Ordinary Differential Equations: Variable separation method AMINULISLAM439
 
B.tech ii unit-5 material vector integration
B.tech ii unit-5 material vector integrationB.tech ii unit-5 material vector integration
B.tech ii unit-5 material vector integrationRai University
 

Similar to Analisis Rill Tugas 3.5 (20)

ANALISIS RIIL 1 3.2 ROBERT G BARTLE
ANALISIS RIIL 1 3.2 ROBERT G BARTLEANALISIS RIIL 1 3.2 ROBERT G BARTLE
ANALISIS RIIL 1 3.2 ROBERT G BARTLE
 
Homogeneous Linear Differential Equations
 Homogeneous Linear Differential Equations Homogeneous Linear Differential Equations
Homogeneous Linear Differential Equations
 
Lecture-1-Mech.pptx . .
Lecture-1-Mech.pptx                   . .Lecture-1-Mech.pptx                   . .
Lecture-1-Mech.pptx . .
 
FOURIER SERIES Presentation of given functions.pptx
FOURIER SERIES Presentation of given functions.pptxFOURIER SERIES Presentation of given functions.pptx
FOURIER SERIES Presentation of given functions.pptx
 
Johelbys campos2
Johelbys campos2Johelbys campos2
Johelbys campos2
 
One solution for many linear partial differential equations with terms of equ...
One solution for many linear partial differential equations with terms of equ...One solution for many linear partial differential equations with terms of equ...
One solution for many linear partial differential equations with terms of equ...
 
BSC_COMPUTER _SCIENCE_UNIT-2_DISCRETE MATHEMATICS
BSC_COMPUTER _SCIENCE_UNIT-2_DISCRETE MATHEMATICSBSC_COMPUTER _SCIENCE_UNIT-2_DISCRETE MATHEMATICS
BSC_COMPUTER _SCIENCE_UNIT-2_DISCRETE MATHEMATICS
 
Functions of severable variables
Functions of severable variablesFunctions of severable variables
Functions of severable variables
 
Exercices calculs de_primitives
Exercices calculs de_primitivesExercices calculs de_primitives
Exercices calculs de_primitives
 
C0560913
C0560913C0560913
C0560913
 
Study Material Numerical Solution of Odinary Differential Equations
Study Material Numerical Solution of Odinary Differential EquationsStudy Material Numerical Solution of Odinary Differential Equations
Study Material Numerical Solution of Odinary Differential Equations
 
Laurents & Taylors series of complex numbers.pptx
Laurents & Taylors series of complex numbers.pptxLaurents & Taylors series of complex numbers.pptx
Laurents & Taylors series of complex numbers.pptx
 
Paul Bleau Calc III Project 2 - Basel Problem
Paul Bleau Calc III Project 2 - Basel ProblemPaul Bleau Calc III Project 2 - Basel Problem
Paul Bleau Calc III Project 2 - Basel Problem
 
A Fifth-Order Iterative Method for Solving Nonlinear Equations
A Fifth-Order Iterative Method for Solving Nonlinear EquationsA Fifth-Order Iterative Method for Solving Nonlinear Equations
A Fifth-Order Iterative Method for Solving Nonlinear Equations
 
Assignment_1_solutions.pdf
Assignment_1_solutions.pdfAssignment_1_solutions.pdf
Assignment_1_solutions.pdf
 
Ordinary Differential Equations: Variable separation method
Ordinary Differential Equations: Variable separation method  Ordinary Differential Equations: Variable separation method
Ordinary Differential Equations: Variable separation method
 
Four Point Gauss Quadrature Runge – Kuta Method Of Order 8 For Ordinary Diffe...
Four Point Gauss Quadrature Runge – Kuta Method Of Order 8 For Ordinary Diffe...Four Point Gauss Quadrature Runge – Kuta Method Of Order 8 For Ordinary Diffe...
Four Point Gauss Quadrature Runge – Kuta Method Of Order 8 For Ordinary Diffe...
 
B.tech ii unit-5 material vector integration
B.tech ii unit-5 material vector integrationB.tech ii unit-5 material vector integration
B.tech ii unit-5 material vector integration
 
Lecture 3
Lecture 3Lecture 3
Lecture 3
 
Lecture 3
Lecture 3Lecture 3
Lecture 3
 

Recently uploaded

Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxRoyAbrique
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesFatimaKhan178732
 
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991RKavithamani
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Sapana Sha
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...EduSkills OECD
 
Concept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfConcept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfUmakantAnnand
 
URLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppURLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppCeline George
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 

Recently uploaded (20)

Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and Actinides
 
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
Concept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfConcept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.Compdf
 
URLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppURLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website App
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 

Analisis Rill Tugas 3.5

  • 1. INDIVIDUAL TASK 3.5 AYU NITASARI (4101414150) 1. Give an example of a bounded sequence that is not a Cauchy sequence. Solution: Consider the sequence {(−1) 𝑛 }, 𝑛 = 1,2,3, . . .. It is bounded but not Cauchy Notice that if 𝑛 is even then 𝑎 𝑛 = 1, and so 𝑎 𝑛+1 = −1. Choose𝜀0 = 2, and select any even 𝑛 such that 𝑛 ≥ 𝑁 ∈ 𝑁. Then choose 𝑚 = 𝑛 + 1. Therefore ∣ 𝑥𝑛 − 𝑥𝑚 ∣=∣ 1 − (−1) ∣= 2 ≥ 𝜀0 = 2. So ((−1) 𝑛 ) is not Cauchy. 2. Show directly from the definition that the following are Cauchy sequences. (a) ( 𝑛+1 𝑛 ) (b) (1 + 1 2! + ⋯+ 1 𝑛! ) Solution: a) Let 𝑋 = ( 𝑛+1 𝑛 ). Will be proven 𝑋 = ( 𝑛+1 𝑛 ) is Cauchy sequence. Proof: Let 𝑥 𝑛 ≔ 𝑛+1 𝑛 . So we can chage 𝑥 𝑛 ≔ 𝑛+1 𝑛 = 1 + 1 𝑛 . If 𝑛 > 𝑚 then get | 𝑥 𝑛 − 𝑥 𝑚| = | 1 𝑛 − 1 𝑚 | ≤ 1 𝑛 + 1 𝑚 . If given 𝜀 > 0, tehn we choose 𝐻 = 𝐻( 𝜀) ∈ ℕ ∋ 𝐻 > 2 𝜀 . If 𝑛, 𝑚 ≥ 𝐻 then 1 𝑛 , 1 𝑚 ≤ 1 𝐻 < 𝜀 2 , result | 𝑥 𝑛 − 𝑥 𝑚| < 𝜀 2 + 𝜀 2 = 𝜀. So, we can conclude that X is Cauchy sequence. b) Let 𝑋 = (1 + 1 2! + ⋯+ 1 𝑛! ) Will be proven 𝑋 = (1 + 1 2! + ⋯ + 1 𝑛! ) isCauchy sequence. Proof: From definotion Cauchy sequence: Sequence 𝑋 = (𝑥 𝑛)said Cauchy Sequence : if ∀ 𝜀 > 0 ∃ 𝐻( 𝜀) 𝜖 ℕ ∋ 𝑚, 𝑛 ≥ 𝐻( 𝜀), then 𝑥 𝑚 and 𝑥 𝑛 satisfies | 𝑥 𝑛 − 𝑥 𝑚| < 𝜀. So if 𝜀 > 0 choose 𝐻 = 𝐻( 𝜀) ∈ ℕ ∋ 𝐻 > 2 𝜀
  • 2. Then from definition 𝑚, 𝑛 ≥ 𝐻, then 𝑥 𝑚 and 𝑥 𝑛 satisfies | 𝑥 𝑛 − 𝑥 𝑚| = | 1 𝑛! − 1 𝑚! | ≤ 1 𝑛! + 1 𝑚! < 𝜀 2 + 𝜀 2 = 𝜀 Because 𝜀 > 0, | 𝑥 𝑛 − 𝑥 𝑚| < 𝜀 then 𝑥 𝑛 = ( 1 𝑛! )is Cauchy sequence. 3. Show directly from the definition that the following are not Cauchy sequences. (a) ((−1) 𝑛) (b) (𝑛 + (−1) 𝑛 𝑛 ) (c) (ln 𝑛) Solution: a) Let 𝑋 = ( 𝑥 𝑛) ≔ ((−1) 𝑛 ) Will be proven X is not Cauchy sequence. Proof: Obvious if n even number then 𝑥 𝑛 = 1 and 𝑥 𝑛+1 = −1. If we choose 𝑛 > 𝐻 ∈ ℕ and let 𝑚 = 𝑛 + 1, then | 𝑥 𝑛 − 𝑥 𝑚| = |1 − (−1)| = 1 + 1 = 2 So sequence (−1) 𝑛 ) is not Cauchy sequence. Another way: Defined 𝑥 𝑛 ≔ (−1) 𝑛 . Then if 𝑛 > 𝑚 then | 𝑥 𝑛 − 𝑥 𝑚| = |(−1) 𝑛 − (−1) 𝑚| ≤ |(−1) 𝑛 + (−1) 𝑚| = 2. So, if we choose 𝜀0 = 2 then ∀ 𝐻( 𝜀0) ∈ ℕ∃ 𝑛 > 𝑚 > 𝐻( 𝜀0) ∋ | 𝑥 𝑛 − 𝑥 𝑚| ≤ 𝜀0 . Because of that sequence (−1) 𝑛 ) is not Cauchy sequence. b) Let :𝑋 = (𝑛 + (−1) 𝑛 𝑛 ) Will be proven X is not Cauchy sequence. Proof : Negation of Chaucy sequence is: ∃𝜀0 > 0 ∀𝐻 ∃ 𝑚𝑖𝑛. 1 𝑛 > 𝐻 𝑎𝑛𝑑 𝑚𝑖𝑛.1 𝑚 > 𝐻 ∋ | 𝑥 𝑛 − 𝑥 𝑚| ≥ 𝜀0 . Let 𝑥 𝑛 = (𝑛 + (−1) 𝑛 𝑛 ) If n even then 𝑥 𝑛 = (𝑛 + (−1) 𝑛 𝑛 ) = 𝑛 + 1 𝑛 = 𝑛2 +1 𝑛
  • 3. And 𝑥 𝑛+1 = 1 + (−1) 𝑛+1 𝑛 = 𝑛 + (−1) 𝑛(−1) 𝑛 = 𝑛 − 1 𝑛 = 𝑛2 −1 𝑛 If we choose 𝜀0 = 2 𝑛 then for every 𝐻 we can choose 𝑛 > 𝐻 ∈ even number And let 𝑚 ≔ 𝑛 + 1, m even and 𝑚 > 𝐻 | 𝑥 𝑛 − 𝑥 𝑚| = | 𝑥 𝑛 − 𝑥 𝑛+1| = 𝑛2 + 1 𝑛 − 𝑛2 − 1 𝑛 = 𝑛2 + 1 − 𝑛2 + 1 𝑛 = 2 𝑛 = 𝜀0 So sequence (𝑋 𝑛) is not Cauchy sequence c) (𝑙𝑛 𝑛) is not bounded so its certainly its not Cauchy sequence. This can be frooved using the definition : pick 𝜀 = 1, we can find 𝐾 such that for any 𝑛, 𝑚 ≥ 𝐾 one has |ln 𝑛 − ln 𝑚| = |ln 𝑛 𝑚 | < 1 ? No, take 𝑛 = 5𝑚 > 𝑚 ≥ 𝐾 the ln 6𝑚 𝑚 = ln 6 > 1 4. Show directly from the definition that if (𝑥 𝑛) and (𝑦 𝑛) are Cauchy sequences, then ( 𝑥 𝑛 + 𝑦 𝑛) and ( 𝑥 𝑛 𝑦 𝑛) are Cauchy sequences. Solution: Let ( 𝑥 𝑛) and (𝑦 𝑛) Cauchy sequence. Will be proven ( 𝑥 𝑛 + 𝑦 𝑛) and (𝑥 𝑛 𝑦 𝑛) Cauchy sequence. Proof: Will be proven.( 𝑥 𝑛 + 𝑦 𝑛)Cauchy sequence. 𝜀 > 0 ⟹ 𝐻 = 𝐻( 𝜀0) ∈ ℕ ∋ 𝐻 > 2 𝜀 . Becouse of ( 𝑥 𝑛) and ( 𝑦 𝑛) Cauchy sequence ∀𝑛, 𝑚 ≥ 𝐻 we get | 𝑥 𝑛 − 𝑥 𝑚| < 𝜀 2 and | 𝑦 𝑛 − 𝑦 𝑚| < 𝜀 2 . Let 𝑧 𝑛 ≔ 𝑥 𝑛 + 𝑦 𝑛 . Then ∀𝑛, 𝑚 ≥ 𝐻 we get | 𝑧 𝑛 − 𝑧 𝑚| = | 𝑥 𝑛 + 𝑦 𝑛 − ( 𝑥 𝑚 + 𝑦 𝑚)| = |( 𝑥 𝑛 − 𝑥 𝑚) + ( 𝑦 𝑛 − 𝑦 𝑚)| ≤ | 𝑥 𝑛 − 𝑥 𝑚| + | 𝑦 𝑛 − 𝑦 𝑚| < 𝜀 2 + 𝜀 2 = 𝜀 So, sequence .( 𝑥 𝑛 + 𝑦 𝑛) 𝑖𝑠 Cauchy sequence. Will be proven .( 𝑥 𝑛 𝑦 𝑛)Cauchy sequence. 𝜀 > 0 ⟹ 𝐻 = 𝐻( 𝜀0) ∈ ℕ ∋ 𝐻 > 2 𝜀 . Becouse of ( 𝑥 𝑛) and ( 𝑦 𝑛) Cauchy sequence ∀𝑛, 𝑚 ≥ 𝐻 we get | 𝑥 𝑛 − 𝑥 𝑚| < √ 𝜀and | 𝑦 𝑛 − 𝑦 𝑚| < √ 𝜀.
  • 4. Let 𝑧 𝑛 ≔ 𝑥 𝑛 𝑦 𝑛 . Then ∀𝑛, 𝑚 ≥ 𝐻 we get | 𝑧 𝑛 − 𝑧 𝑚| = |( 𝑥 𝑛 𝑦 𝑛) − ( 𝑥 𝑚 𝑦 𝑚)| ≤ | 𝑥 𝑛 𝑦 𝑛| + | 𝑥 𝑚 𝑦 𝑚| ≤ | 𝑥 𝑛 − 𝑥 𝑚|| 𝑥 𝑚 − 𝑦 𝑚| − | 𝑥 𝑚 𝑦 𝑛| − |𝑥 𝑛 𝑦 𝑚| < √ 𝜀√ 𝜀 − | 𝑥 𝑚 𝑦 𝑛| − | 𝑥 𝑛 𝑦 𝑚| < 𝜀 − | 𝑥 𝑚 𝑦 𝑛| − | 𝑥 𝑛 𝑦 𝑚| So sequence.( 𝑥 𝑛 𝑦𝑛) 𝑖𝑠 Cauchy sequence.