SlideShare a Scribd company logo
1 of 27
Kalkulus I Drs. Tasman Abbas 	 Sesion #31-32 JurusanFisika FakultasMatematikadanIlmuPengetahuanAlam
Outline Differential Equations Integration bySubstitution Separable Differential Equations 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 2
Integration 	 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 3 1/10/2011
Differential Equations A differential equation is an equation involving derivatives of an unknown function and possibly the function itself as well as the independent variable. Definition  Example  1st order equations  2nd order equation  The order of a differential equation is the highest order of the derivatives of the unknown function appearing in the equation Definition  In the simplest cases, equations may be solved by direct integration. Examples  Observe that the set of solutions to the above 1st order equation has 1 parameter, while the solutions to the above 2nd order equation depend on two parameters. 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 4
Family of solutions (general solution) of a differential equation Example  The picture on the right shows some solutions to the above differential equation.  The straight lines  y = x  and  y = -xare special solutions.  A unique solution curve goes through any point of the plane different from the origin.  The special solutions y = x  and  y = -x  go both through the origin.  1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 5
Initial conditions In many physical problems we need to find the particular solution that satisfies a condition of the form y(x0)=y0. This is called an initial condition, and the problem of finding a solution of the differential equation that satisfies the initial condition is called an initial-value problem. Example (cont.): Find a solution to y2 = x2 + C satisfying the initial condition y(0) = 2.  		22 = 02 + C 		C = 4 y2 = x2 + 4  1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 6
Law of natural growth or decay A population of living creatures normally increases at a rate that is proportional to the current level of the population.  Other things that increase or decrease at a rate proportional to the amount present include radioactive material and money in an interest-bearing account. If the rate of change is proportional to the amount present, the change can be modeled by: 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 7
Rate of change is proportional to the amount present. Divide both sides by y. Integrate both sides. Exponentiate  both sides. 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 8
Logistic Growth Model Real-life populations do not increase forever.   There is some limiting factor such as food or living space. There is a maximum population, or carrying capacity, M. A more realistic model is the logistic growth model where growth rate is proportional to both the size of the population (y) and the amount by which y falls short of the maximal size (M-y). Then we have the equation: The solution to this differential equation (derived in the textbook): 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 9
Mixing Problems A tank contains 1000 L of brine with 15 kg of dissolved salt. Pure water enters the tank at a rate of 10 L/min. The solution is kept thoroughly mixed and drains from the tank at the same rate.  How much salt is in the tank  after t minutes; after 20 minutes? This problem can be solved by modeling it as a differential equation. 		(the solution on the board) 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 10
Mixing Problems Problem 45. A vat with 500 gallons of beer contains 4% alcohol (by volume). Beer with 6% alcohol is pumped into the vat at a rate of 5 gal/min and the mixture is pumped out at the same rate. What is the percentage of alcohol after an hour? 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 11
The chain rule allows us to differentiate a wide variety of functions, but we are able to find antiderivatives for only a limited range of functions.  We can sometimes use substitution to rewrite functions in a form that we can integrate. 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 12
Example 1: The variable of integration must match the variable in the expression. Don’t forget to substitute the value for u back into the problem! 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 13
One of the clues that we look for is if we can find a function and its derivative in the integrand. The derivative of              is             . Note that this only worked because of the 2x  in the original. Many integrals can not be done by substitution. Example: (Exploration 1 in the book) 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 14
Example 2: Solve for dx. 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 15
Example 3: 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 16
We solve for             because we can find it in the integrand. Example:  (Not in book) 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 17
Example 7: 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 18
The technique is a little different for definite integrals. new limit new limit Example 8: We can find new limits, and then we don’t have to substitute back. We could have substituted back and used the original limits. 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 19
Leave the limits out until you substitute back. This is usually more work than finding new limits Using the original limits: Example 8: Wrong! The limits don’t match! 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 20
Example:  (Exploration 2 in the book) Don’t forget to use the new limits. 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 21
Separable Differential Equations A separable differential equation can be expressed as the product of a function of x and a function of y. Example: Multiply both sides by  dx  and divide both sides by  y2  to separate the variables.   (Assume y2 is never zero.) 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 22
A separable differential equation can be expressed as the product of a function of x and a function of y. Example: Combined constants of integration Separable Differential Equations 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 23
Example 9: Separable differential equation Combined constants of integration 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 24
Example 9: We now have y as an implicit function of x. We can find y as an explicit function of x by taking the tangent of both sides. Notice that we can not factor out the constant C, because the distributive property does not work with tangent. 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 25
In another generation or so, we might be able to use the calculator to find all integrals. Until then, remember that half the AP exam and half the nation’s college professors do not allow calculators. You must practice finding integrals by hand until you are good at it! 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 26
Thank You 1/10/2011 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id                      | 27

More Related Content

Viewers also liked

Bahasa Indonesia 10
Bahasa Indonesia 10Bahasa Indonesia 10
Bahasa Indonesia 10jayamartha
 
Pengembangan Kurikulum (10) evaluasi proses-kurikulum
Pengembangan Kurikulum (10)  evaluasi proses-kurikulumPengembangan Kurikulum (10)  evaluasi proses-kurikulum
Pengembangan Kurikulum (10) evaluasi proses-kurikulumjayamartha
 
Week14 -HUMANISTIC APPROACHES TO TEACHING
Week14 -HUMANISTIC APPROACHES TO TEACHINGWeek14 -HUMANISTIC APPROACHES TO TEACHING
Week14 -HUMANISTIC APPROACHES TO TEACHING jayamartha
 
Komputasi fisika (6) persamaan diferensialbiasa1
Komputasi fisika (6) persamaan diferensialbiasa1Komputasi fisika (6) persamaan diferensialbiasa1
Komputasi fisika (6) persamaan diferensialbiasa1jayamartha
 
Supriyadi pengantar ilmu kealaman dasar (iad) pert 12
Supriyadi pengantar ilmu kealaman dasar (iad) pert 12Supriyadi pengantar ilmu kealaman dasar (iad) pert 12
Supriyadi pengantar ilmu kealaman dasar (iad) pert 12jayamartha
 
Pert 7 operator tangga momentum sudut orbital atau angular
Pert 7 operator tangga momentum sudut orbital atau angularPert 7 operator tangga momentum sudut orbital atau angular
Pert 7 operator tangga momentum sudut orbital atau angularjayamartha
 
Komputasi fisika (3) sistem persamaanlinier1
Komputasi fisika (3) sistem persamaanlinier1Komputasi fisika (3) sistem persamaanlinier1
Komputasi fisika (3) sistem persamaanlinier1jayamartha
 
Kalkulus (17 - 20)
Kalkulus (17 - 20)Kalkulus (17 - 20)
Kalkulus (17 - 20)jayamartha
 
5-6-definition_of_semiconductor
5-6-definition_of_semiconductor5-6-definition_of_semiconductor
5-6-definition_of_semiconductorjayamartha
 
Fisika Zat Padat (5 - 7) a-definition_of_semiconductor
Fisika Zat Padat (5 - 7) a-definition_of_semiconductorFisika Zat Padat (5 - 7) a-definition_of_semiconductor
Fisika Zat Padat (5 - 7) a-definition_of_semiconductorjayamartha
 
Kalkulus 1 (01 -14)
Kalkulus 1 (01 -14)Kalkulus 1 (01 -14)
Kalkulus 1 (01 -14)jayamartha
 
Chambre regionale de comptes nord pas de calais picardie stationnement urbain...
Chambre regionale de comptes nord pas de calais picardie stationnement urbain...Chambre regionale de comptes nord pas de calais picardie stationnement urbain...
Chambre regionale de comptes nord pas de calais picardie stationnement urbain...Dominique Gayraud
 

Viewers also liked (13)

Bahasa Indonesia 10
Bahasa Indonesia 10Bahasa Indonesia 10
Bahasa Indonesia 10
 
Pengembangan Kurikulum (10) evaluasi proses-kurikulum
Pengembangan Kurikulum (10)  evaluasi proses-kurikulumPengembangan Kurikulum (10)  evaluasi proses-kurikulum
Pengembangan Kurikulum (10) evaluasi proses-kurikulum
 
Widyalaya 04
Widyalaya 04Widyalaya 04
Widyalaya 04
 
Week14 -HUMANISTIC APPROACHES TO TEACHING
Week14 -HUMANISTIC APPROACHES TO TEACHINGWeek14 -HUMANISTIC APPROACHES TO TEACHING
Week14 -HUMANISTIC APPROACHES TO TEACHING
 
Komputasi fisika (6) persamaan diferensialbiasa1
Komputasi fisika (6) persamaan diferensialbiasa1Komputasi fisika (6) persamaan diferensialbiasa1
Komputasi fisika (6) persamaan diferensialbiasa1
 
Supriyadi pengantar ilmu kealaman dasar (iad) pert 12
Supriyadi pengantar ilmu kealaman dasar (iad) pert 12Supriyadi pengantar ilmu kealaman dasar (iad) pert 12
Supriyadi pengantar ilmu kealaman dasar (iad) pert 12
 
Pert 7 operator tangga momentum sudut orbital atau angular
Pert 7 operator tangga momentum sudut orbital atau angularPert 7 operator tangga momentum sudut orbital atau angular
Pert 7 operator tangga momentum sudut orbital atau angular
 
Komputasi fisika (3) sistem persamaanlinier1
Komputasi fisika (3) sistem persamaanlinier1Komputasi fisika (3) sistem persamaanlinier1
Komputasi fisika (3) sistem persamaanlinier1
 
Kalkulus (17 - 20)
Kalkulus (17 - 20)Kalkulus (17 - 20)
Kalkulus (17 - 20)
 
5-6-definition_of_semiconductor
5-6-definition_of_semiconductor5-6-definition_of_semiconductor
5-6-definition_of_semiconductor
 
Fisika Zat Padat (5 - 7) a-definition_of_semiconductor
Fisika Zat Padat (5 - 7) a-definition_of_semiconductorFisika Zat Padat (5 - 7) a-definition_of_semiconductor
Fisika Zat Padat (5 - 7) a-definition_of_semiconductor
 
Kalkulus 1 (01 -14)
Kalkulus 1 (01 -14)Kalkulus 1 (01 -14)
Kalkulus 1 (01 -14)
 
Chambre regionale de comptes nord pas de calais picardie stationnement urbain...
Chambre regionale de comptes nord pas de calais picardie stationnement urbain...Chambre regionale de comptes nord pas de calais picardie stationnement urbain...
Chambre regionale de comptes nord pas de calais picardie stationnement urbain...
 

Similar to Kalkulus (31 - 32)

Kalkulus (21 - 26)
Kalkulus (21 - 26)Kalkulus (21 - 26)
Kalkulus (21 - 26)jayamartha
 
Kalkulus II (23 - 24)
Kalkulus II  (23 - 24)Kalkulus II  (23 - 24)
Kalkulus II (23 - 24)jayamartha
 
Kalkulus II (25 - 26)
Kalkulus II  (25 - 26)Kalkulus II  (25 - 26)
Kalkulus II (25 - 26)jayamartha
 
Kalkulus II (5 - 6)
Kalkulus II  (5 - 6)Kalkulus II  (5 - 6)
Kalkulus II (5 - 6)jayamartha
 
Kalkulus II (09 - 10)
Kalkulus II  (09 - 10)Kalkulus II  (09 - 10)
Kalkulus II (09 - 10)jayamartha
 
Listrik Magnet (4)
Listrik Magnet (4)Listrik Magnet (4)
Listrik Magnet (4)jayamartha
 
Kalkulus II (1 - 2)
Kalkulus II (1 - 2)Kalkulus II (1 - 2)
Kalkulus II (1 - 2)jayamartha
 
kimia umum (8)
kimia umum (8)kimia umum (8)
kimia umum (8)jayamartha
 
Statistika Dasar (13 - 14) regresi-dan_korelasi_ganda
Statistika Dasar (13 - 14) regresi-dan_korelasi_gandaStatistika Dasar (13 - 14) regresi-dan_korelasi_ganda
Statistika Dasar (13 - 14) regresi-dan_korelasi_gandajayamartha
 
Pemrograman komputer 13 (developing aplication)
Pemrograman komputer  13 (developing aplication)Pemrograman komputer  13 (developing aplication)
Pemrograman komputer 13 (developing aplication)jayamartha
 
Mekanika Klasik (23 - 24)
Mekanika Klasik (23 - 24)Mekanika Klasik (23 - 24)
Mekanika Klasik (23 - 24)jayamartha
 
Komputasi Fisika 08 (Metode Monte Carlo)
Komputasi Fisika 08 (Metode Monte Carlo)Komputasi Fisika 08 (Metode Monte Carlo)
Komputasi Fisika 08 (Metode Monte Carlo)jayamartha
 
Mekanika Klasik (25 - 28)
Mekanika Klasik (25 - 28)Mekanika Klasik (25 - 28)
Mekanika Klasik (25 - 28)jayamartha
 
Pend Fisika Zat Padat (3) close packing
Pend Fisika Zat Padat (3) close packingPend Fisika Zat Padat (3) close packing
Pend Fisika Zat Padat (3) close packingjayamartha
 
Kalkulus II (19 - 20)
Kalkulus II (19 - 20)Kalkulus II (19 - 20)
Kalkulus II (19 - 20)jayamartha
 
Pertemuan 3 close packing
Pertemuan 3   close packingPertemuan 3   close packing
Pertemuan 3 close packingjayamartha
 
Pend Fisika Zat Padat (1) crystal
Pend Fisika Zat Padat (1)  crystalPend Fisika Zat Padat (1)  crystal
Pend Fisika Zat Padat (1) crystaljayamartha
 
Kalkulus II (17 - 18)
Kalkulus II (17 - 18)Kalkulus II (17 - 18)
Kalkulus II (17 - 18)jayamartha
 
Statistika Dasar (11 - 12) analisis-regresi_dan_korelasi_sederhana
Statistika Dasar (11 - 12) analisis-regresi_dan_korelasi_sederhanaStatistika Dasar (11 - 12) analisis-regresi_dan_korelasi_sederhana
Statistika Dasar (11 - 12) analisis-regresi_dan_korelasi_sederhanajayamartha
 
Komputasi Fisika 02 (Solusi Persamaan Non Linear)
Komputasi Fisika 02 (Solusi Persamaan Non Linear)Komputasi Fisika 02 (Solusi Persamaan Non Linear)
Komputasi Fisika 02 (Solusi Persamaan Non Linear)jayamartha
 

Similar to Kalkulus (31 - 32) (20)

Kalkulus (21 - 26)
Kalkulus (21 - 26)Kalkulus (21 - 26)
Kalkulus (21 - 26)
 
Kalkulus II (23 - 24)
Kalkulus II  (23 - 24)Kalkulus II  (23 - 24)
Kalkulus II (23 - 24)
 
Kalkulus II (25 - 26)
Kalkulus II  (25 - 26)Kalkulus II  (25 - 26)
Kalkulus II (25 - 26)
 
Kalkulus II (5 - 6)
Kalkulus II  (5 - 6)Kalkulus II  (5 - 6)
Kalkulus II (5 - 6)
 
Kalkulus II (09 - 10)
Kalkulus II  (09 - 10)Kalkulus II  (09 - 10)
Kalkulus II (09 - 10)
 
Listrik Magnet (4)
Listrik Magnet (4)Listrik Magnet (4)
Listrik Magnet (4)
 
Kalkulus II (1 - 2)
Kalkulus II (1 - 2)Kalkulus II (1 - 2)
Kalkulus II (1 - 2)
 
kimia umum (8)
kimia umum (8)kimia umum (8)
kimia umum (8)
 
Statistika Dasar (13 - 14) regresi-dan_korelasi_ganda
Statistika Dasar (13 - 14) regresi-dan_korelasi_gandaStatistika Dasar (13 - 14) regresi-dan_korelasi_ganda
Statistika Dasar (13 - 14) regresi-dan_korelasi_ganda
 
Pemrograman komputer 13 (developing aplication)
Pemrograman komputer  13 (developing aplication)Pemrograman komputer  13 (developing aplication)
Pemrograman komputer 13 (developing aplication)
 
Mekanika Klasik (23 - 24)
Mekanika Klasik (23 - 24)Mekanika Klasik (23 - 24)
Mekanika Klasik (23 - 24)
 
Komputasi Fisika 08 (Metode Monte Carlo)
Komputasi Fisika 08 (Metode Monte Carlo)Komputasi Fisika 08 (Metode Monte Carlo)
Komputasi Fisika 08 (Metode Monte Carlo)
 
Mekanika Klasik (25 - 28)
Mekanika Klasik (25 - 28)Mekanika Klasik (25 - 28)
Mekanika Klasik (25 - 28)
 
Pend Fisika Zat Padat (3) close packing
Pend Fisika Zat Padat (3) close packingPend Fisika Zat Padat (3) close packing
Pend Fisika Zat Padat (3) close packing
 
Kalkulus II (19 - 20)
Kalkulus II (19 - 20)Kalkulus II (19 - 20)
Kalkulus II (19 - 20)
 
Pertemuan 3 close packing
Pertemuan 3   close packingPertemuan 3   close packing
Pertemuan 3 close packing
 
Pend Fisika Zat Padat (1) crystal
Pend Fisika Zat Padat (1)  crystalPend Fisika Zat Padat (1)  crystal
Pend Fisika Zat Padat (1) crystal
 
Kalkulus II (17 - 18)
Kalkulus II (17 - 18)Kalkulus II (17 - 18)
Kalkulus II (17 - 18)
 
Statistika Dasar (11 - 12) analisis-regresi_dan_korelasi_sederhana
Statistika Dasar (11 - 12) analisis-regresi_dan_korelasi_sederhanaStatistika Dasar (11 - 12) analisis-regresi_dan_korelasi_sederhana
Statistika Dasar (11 - 12) analisis-regresi_dan_korelasi_sederhana
 
Komputasi Fisika 02 (Solusi Persamaan Non Linear)
Komputasi Fisika 02 (Solusi Persamaan Non Linear)Komputasi Fisika 02 (Solusi Persamaan Non Linear)
Komputasi Fisika 02 (Solusi Persamaan Non Linear)
 

More from jayamartha

Kalkulus 1 - Kuis 4
Kalkulus 1 - Kuis 4Kalkulus 1 - Kuis 4
Kalkulus 1 - Kuis 4jayamartha
 
Kalkulus 1 - Kuis 3
Kalkulus 1 - Kuis 3Kalkulus 1 - Kuis 3
Kalkulus 1 - Kuis 3jayamartha
 
Kalkulus 1 - Kuis 2
Kalkulus 1 - Kuis 2Kalkulus 1 - Kuis 2
Kalkulus 1 - Kuis 2jayamartha
 
Kalkulus 1 - Kuis 1
Kalkulus 1 - Kuis 1Kalkulus 1 - Kuis 1
Kalkulus 1 - Kuis 1jayamartha
 
Week 15 kognitif
Week 15 kognitifWeek 15 kognitif
Week 15 kognitifjayamartha
 
15-superconductivity
15-superconductivity15-superconductivity
15-superconductivityjayamartha
 
12-14 d-effect_of_electron_-_electron_interaction
12-14 d-effect_of_electron_-_electron_interaction12-14 d-effect_of_electron_-_electron_interaction
12-14 d-effect_of_electron_-_electron_interactionjayamartha
 
7-metal_vs_semiconductor
7-metal_vs_semiconductor7-metal_vs_semiconductor
7-metal_vs_semiconductorjayamartha
 
12 -14 c-spin_paramagnetism
12 -14 c-spin_paramagnetism12 -14 c-spin_paramagnetism
12 -14 c-spin_paramagnetismjayamartha
 
12 -14 b-diamagnetism
12 -14 b-diamagnetism12 -14 b-diamagnetism
12 -14 b-diamagnetismjayamartha
 
12-14 a-magnetic_effects_in_quantum _mechanics
12-14 a-magnetic_effects_in_quantum _mechanics12-14 a-magnetic_effects_in_quantum _mechanics
12-14 a-magnetic_effects_in_quantum _mechanicsjayamartha
 
Week4-5 tb-kognitif
Week4-5 tb-kognitifWeek4-5 tb-kognitif
Week4-5 tb-kognitifjayamartha
 
10-11 a-energy_bands
10-11 a-energy_bands10-11 a-energy_bands
10-11 a-energy_bandsjayamartha
 
7 -metal_vs_semiconductor
7 -metal_vs_semiconductor7 -metal_vs_semiconductor
7 -metal_vs_semiconductorjayamartha
 
Week-13 model pembelajaran
Week-13 model pembelajaranWeek-13 model pembelajaran
Week-13 model pembelajaranjayamartha
 
Week-15 kognitif
Week-15 kognitifWeek-15 kognitif
Week-15 kognitifjayamartha
 
Week 15 kognitif
Week 15 kognitifWeek 15 kognitif
Week 15 kognitifjayamartha
 
Fisika Dasar I Per.21
Fisika Dasar I Per.21Fisika Dasar I Per.21
Fisika Dasar I Per.21jayamartha
 

More from jayamartha (20)

Kalkulus 1 - Kuis 4
Kalkulus 1 - Kuis 4Kalkulus 1 - Kuis 4
Kalkulus 1 - Kuis 4
 
Kalkulus 1 - Kuis 3
Kalkulus 1 - Kuis 3Kalkulus 1 - Kuis 3
Kalkulus 1 - Kuis 3
 
Kalkulus 1 - Kuis 2
Kalkulus 1 - Kuis 2Kalkulus 1 - Kuis 2
Kalkulus 1 - Kuis 2
 
Kalkulus 1 - Kuis 1
Kalkulus 1 - Kuis 1Kalkulus 1 - Kuis 1
Kalkulus 1 - Kuis 1
 
P6
P6P6
P6
 
Week 15 kognitif
Week 15 kognitifWeek 15 kognitif
Week 15 kognitif
 
15-superconductivity
15-superconductivity15-superconductivity
15-superconductivity
 
12-14 d-effect_of_electron_-_electron_interaction
12-14 d-effect_of_electron_-_electron_interaction12-14 d-effect_of_electron_-_electron_interaction
12-14 d-effect_of_electron_-_electron_interaction
 
7-metal_vs_semiconductor
7-metal_vs_semiconductor7-metal_vs_semiconductor
7-metal_vs_semiconductor
 
12 -14 c-spin_paramagnetism
12 -14 c-spin_paramagnetism12 -14 c-spin_paramagnetism
12 -14 c-spin_paramagnetism
 
12 -14 b-diamagnetism
12 -14 b-diamagnetism12 -14 b-diamagnetism
12 -14 b-diamagnetism
 
12-14 a-magnetic_effects_in_quantum _mechanics
12-14 a-magnetic_effects_in_quantum _mechanics12-14 a-magnetic_effects_in_quantum _mechanics
12-14 a-magnetic_effects_in_quantum _mechanics
 
Week4-5 tb-kognitif
Week4-5 tb-kognitifWeek4-5 tb-kognitif
Week4-5 tb-kognitif
 
10-11 a-energy_bands
10-11 a-energy_bands10-11 a-energy_bands
10-11 a-energy_bands
 
7 -metal_vs_semiconductor
7 -metal_vs_semiconductor7 -metal_vs_semiconductor
7 -metal_vs_semiconductor
 
Week-13 model pembelajaran
Week-13 model pembelajaranWeek-13 model pembelajaran
Week-13 model pembelajaran
 
Week-15 kognitif
Week-15 kognitifWeek-15 kognitif
Week-15 kognitif
 
Week 15 kognitif
Week 15 kognitifWeek 15 kognitif
Week 15 kognitif
 
Pert 1-4
Pert 1-4Pert 1-4
Pert 1-4
 
Fisika Dasar I Per.21
Fisika Dasar I Per.21Fisika Dasar I Per.21
Fisika Dasar I Per.21
 

Recently uploaded

What is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPWhat is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPCeline George
 
AmericanHighSchoolsprezentacijaoskolama.
AmericanHighSchoolsprezentacijaoskolama.AmericanHighSchoolsprezentacijaoskolama.
AmericanHighSchoolsprezentacijaoskolama.arsicmarija21
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentInMediaRes1
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
MICROBIOLOGY biochemical test detailed.pptx
MICROBIOLOGY biochemical test detailed.pptxMICROBIOLOGY biochemical test detailed.pptx
MICROBIOLOGY biochemical test detailed.pptxabhijeetpadhi001
 
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfFraming an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfUjwalaBharambe
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Celine George
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsanshu789521
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxRaymartEstabillo3
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxOH TEIK BIN
 
Blooming Together_ Growing a Community Garden Worksheet.docx
Blooming Together_ Growing a Community Garden Worksheet.docxBlooming Together_ Growing a Community Garden Worksheet.docx
Blooming Together_ Growing a Community Garden Worksheet.docxUnboundStockton
 
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
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptxVS Mahajan Coaching Centre
 
Capitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitolTechU
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfSumit Tiwari
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxthorishapillay1
 

Recently uploaded (20)

What is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPWhat is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERP
 
AmericanHighSchoolsprezentacijaoskolama.
AmericanHighSchoolsprezentacijaoskolama.AmericanHighSchoolsprezentacijaoskolama.
AmericanHighSchoolsprezentacijaoskolama.
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media Component
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
MICROBIOLOGY biochemical test detailed.pptx
MICROBIOLOGY biochemical test detailed.pptxMICROBIOLOGY biochemical test detailed.pptx
MICROBIOLOGY biochemical test detailed.pptx
 
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfFraming an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17
 
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha elections
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptx
 
Blooming Together_ Growing a Community Garden Worksheet.docx
Blooming Together_ Growing a Community Garden Worksheet.docxBlooming Together_ Growing a Community Garden Worksheet.docx
Blooming Together_ Growing a Community Garden Worksheet.docx
 
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
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
 
Capitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptx
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
 
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptx
 

Kalkulus (31 - 32)

  • 1. Kalkulus I Drs. Tasman Abbas Sesion #31-32 JurusanFisika FakultasMatematikadanIlmuPengetahuanAlam
  • 2. Outline Differential Equations Integration bySubstitution Separable Differential Equations 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 2
  • 3. Integration © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 3 1/10/2011
  • 4. Differential Equations A differential equation is an equation involving derivatives of an unknown function and possibly the function itself as well as the independent variable. Definition Example 1st order equations 2nd order equation The order of a differential equation is the highest order of the derivatives of the unknown function appearing in the equation Definition In the simplest cases, equations may be solved by direct integration. Examples Observe that the set of solutions to the above 1st order equation has 1 parameter, while the solutions to the above 2nd order equation depend on two parameters. 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 4
  • 5. Family of solutions (general solution) of a differential equation Example The picture on the right shows some solutions to the above differential equation. The straight lines y = x and y = -xare special solutions. A unique solution curve goes through any point of the plane different from the origin. The special solutions y = x and y = -x go both through the origin. 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 5
  • 6. Initial conditions In many physical problems we need to find the particular solution that satisfies a condition of the form y(x0)=y0. This is called an initial condition, and the problem of finding a solution of the differential equation that satisfies the initial condition is called an initial-value problem. Example (cont.): Find a solution to y2 = x2 + C satisfying the initial condition y(0) = 2. 22 = 02 + C C = 4 y2 = x2 + 4 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 6
  • 7. Law of natural growth or decay A population of living creatures normally increases at a rate that is proportional to the current level of the population. Other things that increase or decrease at a rate proportional to the amount present include radioactive material and money in an interest-bearing account. If the rate of change is proportional to the amount present, the change can be modeled by: 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 7
  • 8. Rate of change is proportional to the amount present. Divide both sides by y. Integrate both sides. Exponentiate both sides. 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 8
  • 9. Logistic Growth Model Real-life populations do not increase forever. There is some limiting factor such as food or living space. There is a maximum population, or carrying capacity, M. A more realistic model is the logistic growth model where growth rate is proportional to both the size of the population (y) and the amount by which y falls short of the maximal size (M-y). Then we have the equation: The solution to this differential equation (derived in the textbook): 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 9
  • 10. Mixing Problems A tank contains 1000 L of brine with 15 kg of dissolved salt. Pure water enters the tank at a rate of 10 L/min. The solution is kept thoroughly mixed and drains from the tank at the same rate. How much salt is in the tank after t minutes; after 20 minutes? This problem can be solved by modeling it as a differential equation. (the solution on the board) 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 10
  • 11. Mixing Problems Problem 45. A vat with 500 gallons of beer contains 4% alcohol (by volume). Beer with 6% alcohol is pumped into the vat at a rate of 5 gal/min and the mixture is pumped out at the same rate. What is the percentage of alcohol after an hour? 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 11
  • 12. The chain rule allows us to differentiate a wide variety of functions, but we are able to find antiderivatives for only a limited range of functions. We can sometimes use substitution to rewrite functions in a form that we can integrate. 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 12
  • 13. Example 1: The variable of integration must match the variable in the expression. Don’t forget to substitute the value for u back into the problem! 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 13
  • 14. One of the clues that we look for is if we can find a function and its derivative in the integrand. The derivative of is . Note that this only worked because of the 2x in the original. Many integrals can not be done by substitution. Example: (Exploration 1 in the book) 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 14
  • 15. Example 2: Solve for dx. 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 15
  • 16. Example 3: 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 16
  • 17. We solve for because we can find it in the integrand. Example: (Not in book) 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 17
  • 18. Example 7: 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 18
  • 19. The technique is a little different for definite integrals. new limit new limit Example 8: We can find new limits, and then we don’t have to substitute back. We could have substituted back and used the original limits. 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 19
  • 20. Leave the limits out until you substitute back. This is usually more work than finding new limits Using the original limits: Example 8: Wrong! The limits don’t match! 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 20
  • 21. Example: (Exploration 2 in the book) Don’t forget to use the new limits. 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 21
  • 22. Separable Differential Equations A separable differential equation can be expressed as the product of a function of x and a function of y. Example: Multiply both sides by dx and divide both sides by y2 to separate the variables. (Assume y2 is never zero.) 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 22
  • 23. A separable differential equation can be expressed as the product of a function of x and a function of y. Example: Combined constants of integration Separable Differential Equations 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 23
  • 24. Example 9: Separable differential equation Combined constants of integration 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 24
  • 25. Example 9: We now have y as an implicit function of x. We can find y as an explicit function of x by taking the tangent of both sides. Notice that we can not factor out the constant C, because the distributive property does not work with tangent. 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 25
  • 26. In another generation or so, we might be able to use the calculator to find all integrals. Until then, remember that half the AP exam and half the nation’s college professors do not allow calculators. You must practice finding integrals by hand until you are good at it! 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 26
  • 27. Thank You 1/10/2011 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 27