SlideShare a Scribd company logo
Chapter 5: Exponential and Logarithmic Function 
Definition of 
Logarithms 
Suppose b>0 and b≠ ퟏ. 퐅퐨퐫 풏 > 
ퟎ, 퐭퐡퐞퐫 퐢퐬 퐧퐮퐦퐛퐞퐫 풑 퐬퐮퐜퐡 퐭퐡퐚퐭 풍풐품풍풐품풃풏 = 
풑 퐢퐟 퐚퐧퐟 퐨퐧퐥퐲 퐢퐟 풃풑 = 풏 
Exponential Functions: The "Natural" Exponential "e" 
In this section we consider these functions. 
Name General Form 
Linear 
Quadratic 
Cubic 
Absolute value 
Exponential 
Logarithmic 
Reciprocal 
푓(푥) = 푎푥 + 푏, 푎 ≠ 0 
푓(푥) = 푎푥 2 + 푏푥 + 푐, 푎 ≠ 0 
푓(푥) = 푎푥 3 + 푏푥 2 + 푐푥 + 푑, 푎 
≠ 0 
푓(푥) = |푥| 
푓(푥) = 푎푥 , 푎 > 0, 푎 ≠ 1 
푓(푥) = 푙표푔푒푥 표푟 푓(푥) = 퐼푛 푥 
푓(푥) = 
푘 
푥 
, 푥 ≠ 0 
f : x ↦ 푎푥 + 푏, 푎 ≠ 0 
푓: 푥 ↦ 푎푥 2 + 푏푥 + 푐 푎 ≠ 0 
푓: 푥 ↦ 푎푥 3 + 푏푥 2 + 푐푥 + 푑, 푎 ≠ 0 
푓: 푥 ↦ |푥| 
푓: 푥 ↦ 푎푥 , 푎 < 0 
푓: 푥 ↦ 퐼푛 푥 
푓: 푥 ↦ 
푘 
푥 
, 푥 ≠ 0 
There is one very important number that arises in the development of exponential 
functions, and that is the "natural" exponential. (If you really want to know about this 
number, you can read the book "e: The Story of a Number", by Eli Maor.) 
In the previous page's discussion of compound interest, recall that "n" stood for the 
number of compoundings in a year. What happens when you start compounding more and 
more frequently? What happens when you go from yearly to monthly to weekly to daily to 
hourly to minute-ly to second-ly to...?
Ignoring the principal, the interest rate, and the number of years by setting all these 
variables equal to "1", and looking only at the influence of the number of compounding, we 
get: 
how often 
compounded 
computation 
yearly 
semi-annually 
quarterly 
monthly 
weekly 
daily 
hourly 
every minute 
every second 
As you can see, the computed value keeps getting larger and larger, the more often you 
compound. But the growth is slowing down; as the number of compounding increases, the 
computed value appears to be approaching some fixed value. You might think that the 
value of the compound-interest formula is getting closer and closer to a number that starts 
out "2.71828". And you'd be right; the number we're approaching is called "e". 
If you think back to geometry, you'll remember the number "pi", which was 
approximated by the decimal "3.14159" or the fraction " 22/7 ". Remember that we 
call pi by the name "pi" and use a symbol for this number because pi never ends when 
written as a decimal. It's not a "neat" number like 2 or –1/3; it is in fact an irrational 
number. But it's an important number; you'd have real trouble doing geometry without 
it. So we give this useful number the name "pi", to simplify our calculations and 
communication, because it's a lot easier to say "pi" than to say "3.141592653589 and so 
on forever" every time we need to refer to this number. We gave the number a letter - 
name because that was easier. 
In the same way, this compound-interest number is also very useful. You may not see the 
usefulness of it yet, but it is vital in physics and other sciences, and you can't do calculus 
without it. As with pi, listing out its first dozen or so digits every time we refer to this 
number gets to be annoying, so we call it by the name "e".
The number "e" is the "natural" exponential, because it arises naturally in math and the 
physical sciences (that is, in "real life" situations), just as pi arises naturally in geometry. 
This number was discovered by a guy named Euler (pronounced "OY-ler"; I think he was 
Swiss), who described the number and named the number "e", and then swore that this 
stood for "exponential", and not for his own name. 
Your calculator can do computations with e; it is probably a "second function" on your 
calculator, right above the "ln" or "LN" key on your calculator. 
 Given f(x) = ex, evaluate f(3), rounding to two decimal places. 
I need to plug this into my calculator. (Check your owner's manual, if you're not 
sure of the key sequence.) I get: Copyright © Elizabeth Stapel 2002-2011 All 
Rights Reserved 
f(3) = 20.0855369232... 
Rounded to two decimal places, the answer is f(3) = 20.09. 
 Graph y = e2x. 
Since e is greater than 1, and since "2x" 
is "positive", then this should look like 
exponential growth. I will compute some 
plot points:
Then I'll draw the graph: 
Make sure, when you are evaluating e2x, that 
you format the expression correctly. Either 
multiply out the "2x" first, and then apply it to 
the e, or else put the "2x" inside parentheses. 
Otherwise, the calculator will think you mean 
"e2 × x", and will return the wrong values, as is 
demonstrated at right: 
Your teacher or book may go on at length about using other bases for growth and decay 
equations, but, in "real life" (such as physics), the natural base e is generally used. The 
equation for "continual" growth (or decay) is A = Pert, where "A", is the ending amount, 
"P" is the beginning amount (principal, in the case of money), "r" is the growth or decay 
rate (expressed as a decimal), and "t" is the time (in whatever unit was used on the 
growth/decay rate). Make sure you have memorized this equation, along with the 
meanings of all the variables. You are almost certain to see it again, especially if you are 
taking any classes in the sciences. 
(This equation helped me pass a chemistry class. I really didn't know what the teacher 
was talking about, but all the test problems worked off this equation, so I just plugged in 
all the given information, and solved for whichever variable was left. I'm not saying this 
to advocate being clueless in chemistry, but to demonstrate that the above really is a 
useful equation.) 
The continuous-growth formula is first given in the above form "A = Pert", using "r" for 
the growth rate, but will later probably be given as A = Pekt, where "k" replaces "r", and 
stands for "growth (or decay) constant". Or different variables may be used, such as Q = 
Nekt, where "N" stands for the beginning amount and "Q" stands for the ending amount. 
The point is that, regardless of the letters used, the formula remains the same. And you
should be familiar enough with the formula to recognize it, no matter what letters 
happen to be included within it. 
 Certain bacteria, given favorable growth conditions, grow continuously at a 
rate of4.6% a day. Find the bacterial population after thirty-six hours, if the 
initial population was 250 bacteria. 
As soon as I read "continuously", I should be thinking "continuously-compounded 
growth formula". "Continuously" is the buzz-word that tells me to use "A = Pert". 
The beginning amount was P = 250, the growth rate is r = 0.046, and the 
time t is 36/24 = 1.5 days. 
Why is "time" converted to days this time, instead of to years? Because the growth rate 
was expressed in terms of a given percentage per day. The rates in the compound-interest 
formula for money are always annual rates, which is why t was always in years 
in that context. But this is not the case for the general continual-growth/decay formula; 
the growth/decay rates in other, non-monetary, contexts might be measured in minutes, 
hours, days, etc. 
I plug in the known values, and simplify for the answer: 
A = 250e(0.046)(1.5) 
= 250e(0.069) 
= 267.859052287... 
There will be about 268 bacteria after thirty-six hours. 
By the way, if you do your calculations "inside-out", instead of left-to-right, you will be 
able to keep everything inside the calculator, and thereby avoid round-off error. 
For example, the above computation would be done like this: 
Exponential Function 
Exponential functions look somewhat similar to functions you have seen before, in that 
they involve exponents, but there is a big difference, in that the variable is now the power,
rather than the base. Previously, you have dealt with such functions as f(x) = x2, where the 
variable x was the base and the number 2 was the power. In the case of exponentials, 
however, you will be dealing with functions such as g(x) = 2x, where the base is the fixed 
number, and the power is the variable. 
Let's look more closely at the function g(x) = 2x. To evaluate this function, we operate as 
usual, picking values of x, plugging them in, and simplifying for the answers. But to 
evaluate 2x, we need to remember how exponents work. In particular, we need to remember 
that negative exponents mean "put the base on the other side of the fraction line". 
So, while positive x-values give us values like 
these: 
...negative x-values give us values like 
these: 
Copyright © Elizabeth Stapel 2002- 
2011 All Rights Reserved
Putting together the "reasonable" 
(nicely graphable) points, this is our 
T-chart: 
...and this is our graph: 
Logarithmic Function 
Logarithms are the "opposite" of exponentials, just as subtraction is the opposite of 
addition and division is the opposite of multiplication. Logs "undo" exponentials. 
Technically speaking, logs are the inversesof exponentials. 
In practical terms, I have found it useful to think of logs in terms of The Relationship: 
—The Relationship— 
y = bx 
..............is equivalent to............... 
(means the exact same thing as) 
Logb(y) = x
On the left-hand side above is the exponential statement "y = bx". On the right-hand side 
above, "logb(y) = x" is the equivalent logarithmic statement, which is pronounced "log-base-b 
of y equals x"; The value of the subscripted "b" is "the base of the logarithm", just as b is 
the base in the exponential expression "bx". And, just as the base b in an exponential is 
always positive and not equal to 1, so also the base b for a logarithm is always positive and 
not equal to 1. Whatever is inside the logarithm is called the "argument" of the log. Note 
that the base in both the exponential equation and the log equation (above) is "b", but that 
the x and y switch sides when you switch between the two equationsIf you can remember 
this relationship (that whatever had been the argument of the log becomes the "equals" 
and whatever had been the "equals" becomes the exponent in the exponential, and vice 
versa), then you shouldn't have too much trouble with logarithms. 
(I coined the term "The Relationship" myself. You will not find it in your text, and your 
teachers and tutors will have no idea what you're talking about if you mention it to them. 
"The Relationship" is entirely non-standard terminology. Why do I use it anyway? Because 
it works.) 
By the way: If you noticed that I switched the variables between the two boxes displaying 
"The Relationship", you've got a sharp eye. I did that on purpose, to stress that the point is 
not the variables themselves, but how they move. 
 Convert "63 = 216" to the equivalent logarithmic expression. 
To convert, the base (that is, the 6)remains the same, but the 3 and the 216 switch 
sides. This gives me: 
log6(216) = 3 
 Convert "log4(1024) = 5" to the equivalent exponential expression. 
To convert, the base (that is, the 4) remains the same, but the 1024 and the 5 switch 
sides. This gives me: 
45 = 102 
Law of Logarithms 
Since a logarithm is simply an exponent which is just being written down on the line, we 
expect the logarithm laws to work the same as the rules for exponents, and luckily, they do. 
3 important LAW OF LOGARITHMS 
log A + logB =log(AB)
log A –logB =log 푨 
푩, 
푩 ≠ ퟎ 
퐥퐨퐠 푨 = 퐥퐨퐠 푨풏 
Exponents Logarithms 
`b^m × b^n = b^(m+n)` ` log_b xy = log_b x + log_b y` 
`b^m ÷ b^n = b^(m-n)` `log_b (x/y) = log_b x − log_b y` 
`(b^m)^n = b^(mn)` `log_b (x^n) = n log_b x` 
`b^1 = b` `log_b (b) = 1` 
`b^0 = 1` `log_b (1) = 0` 
Note: On our calculators, "log" (without any base) is taken to mean "log base 10". So, for 
example "log 7" means "log107". 
Examples 
1. Expand 
log 7x 
as the sum of 2 logarithms. 
Using the first law given above, our answer is 
`log 7x = log 7 + log x` 
Note 1: This has the same meaning as `10^7 xx 10^x = 10^(7+x)` 
Note 2: This question is not the same as `log_7 x`, which means "log of x to the base `7`", 
which is quite different. 
2. Using your calculator, show that 
`log (20/5) = log 20 − log 5`. 
I am using numbers this time so you can convince yourself that the log law works. 
LHS 
`= log (20/5)`
`= log 4 ` 
`= 0.60206` (using calculator) 
Now 
RHS 
`= log 20 − log 5` 
`= 1.30103 − 0.69897` (using calculator) 
`= 0.60206 ` 
= LHS 
. 
3. Express as a multiple of logarithms: log x5. 
Using the third logarithm law, we have 
`log x^5 = 5 log x` 
We have expressed it as a multiple of a logarithm, and it no longer involves an exponent. 
Note 1: Each of the following is equal to 1: 
log6 6 = log10 10 = logx x = loga a = 1 
The equivalent statements, using ordinary exponents, are as follows: 
61 = 6 
101 = 10 
x1 = x 
a1 = a 
Note 2: All of the following are equivalent to `0`: 
log7 1 = log10 1 = loge1 = logx 1 = 0
The equivalent statments in exponential form are: 
70 = 1 
100 = 1 
e0 = 1 
x0 = 1 
Examples: 
1. Express as a sum, difference, or multiple of logarithms: 
`log_3((root(3)y)/8)` 
`log_3((root(3)y)/8)` 
` =log_3(root(3)y)-log_3(8)` 
`=log_3(y^(1//3))-log_3(2^3)` 
`=1/3log_3(y)-3 log_3(2)` 
2. Express 
2 loge 2 + 3 loge n 
as the logarithm of a single quantity. 
Applying the logarithm laws, we have: 
2 loge 2 + 3 loge n 
= loge 4 + loge n3 
= loge 4n3 
Note: The logarithm to base e is a very important logarithm. You will meet it first in Natural 
Logs (Base e) and will see it throughout the calculus chapters later. 
3. Determine the exact value of: 
`log_3root(4)27`
Let 
`log_3root(4)27=x` 
Then 
`3^x=root(4)27` 
Now 
`root(4)27=root(4)(3^3)=3^(3//4)` 
So x = 3/4. 
Therefore 
`log_3root(4)27=3//4` 
4. Solve for y in terms of x: 
log2x + log2y = 1 
Using the first log law, we can write: 
log2 xy = 1 
Then xy = 21 
So 
`y=2/x`
http://home.windstream.net/okrebs/page51.html 
Chapter test:

More Related Content

What's hot

Cardinality
CardinalityCardinality
Cardinality
gizemk
 
CMSC 56 | Lecture 6: Sets & Set Operations
CMSC 56 | Lecture 6: Sets & Set OperationsCMSC 56 | Lecture 6: Sets & Set Operations
CMSC 56 | Lecture 6: Sets & Set Operations
allyn joy calcaben
 
Generalizing Addition and Multiplication to an Operator Parametrized by a Rea...
Generalizing Addition and Multiplication to an Operator Parametrized by a Rea...Generalizing Addition and Multiplication to an Operator Parametrized by a Rea...
Generalizing Addition and Multiplication to an Operator Parametrized by a Rea...
Daren Scot Wilson
 
24 variables and evaluation
24 variables and evaluation24 variables and evaluation
24 variables and evaluation
alg1testreview
 
Discrete mathematic
Discrete mathematicDiscrete mathematic
Discrete mathematic
Naralaswapna
 
Sets
SetsSets
5 2factoring trinomial i
5 2factoring trinomial i5 2factoring trinomial i
5 2factoring trinomial imath123a
 
42 linear equations
42 linear equations42 linear equations
42 linear equations
alg1testreview
 
A disproof of the Riemann hypothesis
A disproof of the Riemann hypothesisA disproof of the Riemann hypothesis
A disproof of the Riemann hypothesis
iosrjce
 
Maths 11
Maths 11Maths 11
Maths 11
Mehtab Rai
 
Real numbers
Real numbersReal numbers
Real numbers
Ramki M
 
Set Theory 1
Set Theory 1Set Theory 1
Properties of logarithms
Properties of logarithmsProperties of logarithms
Properties of logarithmsJessica Garcia
 
Real numbers
Real numbersReal numbers
Real numbers
Farhan Alam
 
49 factoring trinomials the ac method and making lists
49 factoring trinomials  the ac method and making lists49 factoring trinomials  the ac method and making lists
49 factoring trinomials the ac method and making lists
alg1testreview
 
2 2linear equations i
2 2linear equations i2 2linear equations i
2 2linear equations imath123a
 
Forth Lecture
Forth LectureForth Lecture
2 4linear word problems
2 4linear word problems2 4linear word problems
2 4linear word problemsmath123a
 
Mathematics assignment
Mathematics assignmentMathematics assignment
Mathematics assignment
Aditya Chowdhary
 
Set theory and relation
Set theory and relationSet theory and relation
Set theory and relationankush_kumar
 

What's hot (20)

Cardinality
CardinalityCardinality
Cardinality
 
CMSC 56 | Lecture 6: Sets & Set Operations
CMSC 56 | Lecture 6: Sets & Set OperationsCMSC 56 | Lecture 6: Sets & Set Operations
CMSC 56 | Lecture 6: Sets & Set Operations
 
Generalizing Addition and Multiplication to an Operator Parametrized by a Rea...
Generalizing Addition and Multiplication to an Operator Parametrized by a Rea...Generalizing Addition and Multiplication to an Operator Parametrized by a Rea...
Generalizing Addition and Multiplication to an Operator Parametrized by a Rea...
 
24 variables and evaluation
24 variables and evaluation24 variables and evaluation
24 variables and evaluation
 
Discrete mathematic
Discrete mathematicDiscrete mathematic
Discrete mathematic
 
Sets
SetsSets
Sets
 
5 2factoring trinomial i
5 2factoring trinomial i5 2factoring trinomial i
5 2factoring trinomial i
 
42 linear equations
42 linear equations42 linear equations
42 linear equations
 
A disproof of the Riemann hypothesis
A disproof of the Riemann hypothesisA disproof of the Riemann hypothesis
A disproof of the Riemann hypothesis
 
Maths 11
Maths 11Maths 11
Maths 11
 
Real numbers
Real numbersReal numbers
Real numbers
 
Set Theory 1
Set Theory 1Set Theory 1
Set Theory 1
 
Properties of logarithms
Properties of logarithmsProperties of logarithms
Properties of logarithms
 
Real numbers
Real numbersReal numbers
Real numbers
 
49 factoring trinomials the ac method and making lists
49 factoring trinomials  the ac method and making lists49 factoring trinomials  the ac method and making lists
49 factoring trinomials the ac method and making lists
 
2 2linear equations i
2 2linear equations i2 2linear equations i
2 2linear equations i
 
Forth Lecture
Forth LectureForth Lecture
Forth Lecture
 
2 4linear word problems
2 4linear word problems2 4linear word problems
2 4linear word problems
 
Mathematics assignment
Mathematics assignmentMathematics assignment
Mathematics assignment
 
Set theory and relation
Set theory and relationSet theory and relation
Set theory and relation
 

Viewers also liked

Ict 3
Ict 3Ict 3
Borang soal selidik
Borang soal selidikBorang soal selidik
Borang soal selidik
Zahrah Abdul Rahman
 
Essay Assessment Rubric
Essay Assessment RubricEssay Assessment Rubric
Essay Assessment Rubric
pjlynch
 
Borang soal selidik guru (lampiran d)
Borang soal selidik guru (lampiran d)Borang soal selidik guru (lampiran d)
Borang soal selidik guru (lampiran d)
TING Hua
 
Contoh Borang Soal Selidik
Contoh Borang Soal SelidikContoh Borang Soal Selidik
Contoh Borang Soal Selidik
Nurul A'yuni Ahmad
 
contoh borang kaji selidik pengajian am. stpm penggal 2.
contoh borang kaji selidik pengajian am. stpm penggal 2.contoh borang kaji selidik pengajian am. stpm penggal 2.
contoh borang kaji selidik pengajian am. stpm penggal 2.
Nur Haziqah Utieh
 

Viewers also liked (6)

Ict 3
Ict 3Ict 3
Ict 3
 
Borang soal selidik
Borang soal selidikBorang soal selidik
Borang soal selidik
 
Essay Assessment Rubric
Essay Assessment RubricEssay Assessment Rubric
Essay Assessment Rubric
 
Borang soal selidik guru (lampiran d)
Borang soal selidik guru (lampiran d)Borang soal selidik guru (lampiran d)
Borang soal selidik guru (lampiran d)
 
Contoh Borang Soal Selidik
Contoh Borang Soal SelidikContoh Borang Soal Selidik
Contoh Borang Soal Selidik
 
contoh borang kaji selidik pengajian am. stpm penggal 2.
contoh borang kaji selidik pengajian am. stpm penggal 2.contoh borang kaji selidik pengajian am. stpm penggal 2.
contoh borang kaji selidik pengajian am. stpm penggal 2.
 

Similar to Chapter 5 algebra

Non linearregression 4+
Non linearregression 4+Non linearregression 4+
Non linearregression 4+
Ricardo Solano
 
Special Topics on Functions, Sequences, and Series MAT117 .docx
 Special Topics on Functions, Sequences, and Series MAT117 .docx Special Topics on Functions, Sequences, and Series MAT117 .docx
Special Topics on Functions, Sequences, and Series MAT117 .docx
MARRY7
 
Presentación de Matemática Modulo I
Presentación de Matemática Modulo IPresentación de Matemática Modulo I
Presentación de Matemática Modulo I
CristianPintoSantafe
 
Analysis.pptx
Analysis.pptxAnalysis.pptx
Analysis.pptx
AryanVerma215603
 
DIGITAL TEXT BOOK
DIGITAL TEXT BOOKDIGITAL TEXT BOOK
DIGITAL TEXT BOOKbintu55
 
Exercises for pupils in primary education(0 4)-en
Exercises for pupils in primary education(0 4)-enExercises for pupils in primary education(0 4)-en
Exercises for pupils in primary education(0 4)-en
Georgeta Manafu
 
Calculus Application Problem #3 Name _________________________.docx
Calculus Application Problem #3 Name _________________________.docxCalculus Application Problem #3 Name _________________________.docx
Calculus Application Problem #3 Name _________________________.docx
humphrieskalyn
 
Unary and binary set operations
Unary and binary set operationsUnary and binary set operations
Unary and binary set operations
Liwayway Memije-Cruz
 
U1 Cn3 Exponential Functions
U1 Cn3 Exponential FunctionsU1 Cn3 Exponential Functions
U1 Cn3 Exponential FunctionsAlexander Burt
 
The Real Numbers
The Real NumbersThe Real Numbers
The Real Numbers
Sierra Nichols
 
Advance algebra
Advance algebraAdvance algebra
Advance algebra
lyra matalubos
 
Business mathematics presentation
Business mathematics presentationBusiness mathematics presentation
Business mathematics presentation
Sourov Shaha Suvo
 
Maths project
Maths projectMaths project
Maths project
Ruchi Dixit
 
Math In Business boa
Math In Business boaMath In Business boa
Math In Business boaraileeanne
 
Mathematics power point presenttation on the topic
Mathematics power point presenttation on the topicMathematics power point presenttation on the topic
Mathematics power point presenttation on the topicMeghansh Gautam
 
Unit 05 - Limits and Continuity.pdf
Unit 05 - Limits and Continuity.pdfUnit 05 - Limits and Continuity.pdf
Unit 05 - Limits and Continuity.pdf
SagarPetwal
 
5. Limit Fungsi yang menjadi Aljabar.pptx
5. Limit Fungsi yang menjadi Aljabar.pptx5. Limit Fungsi yang menjadi Aljabar.pptx
5. Limit Fungsi yang menjadi Aljabar.pptx
BanjarMasin4
 

Similar to Chapter 5 algebra (20)

Non linearregression 4+
Non linearregression 4+Non linearregression 4+
Non linearregression 4+
 
Special Topics on Functions, Sequences, and Series MAT117 .docx
 Special Topics on Functions, Sequences, and Series MAT117 .docx Special Topics on Functions, Sequences, and Series MAT117 .docx
Special Topics on Functions, Sequences, and Series MAT117 .docx
 
1 1 number theory
1 1 number theory1 1 number theory
1 1 number theory
 
Exponential functions
Exponential functionsExponential functions
Exponential functions
 
Presentación de Matemática Modulo I
Presentación de Matemática Modulo IPresentación de Matemática Modulo I
Presentación de Matemática Modulo I
 
Analysis.pptx
Analysis.pptxAnalysis.pptx
Analysis.pptx
 
DIGITAL TEXT BOOK
DIGITAL TEXT BOOKDIGITAL TEXT BOOK
DIGITAL TEXT BOOK
 
Exercises for pupils in primary education(0 4)-en
Exercises for pupils in primary education(0 4)-enExercises for pupils in primary education(0 4)-en
Exercises for pupils in primary education(0 4)-en
 
Calculus Application Problem #3 Name _________________________.docx
Calculus Application Problem #3 Name _________________________.docxCalculus Application Problem #3 Name _________________________.docx
Calculus Application Problem #3 Name _________________________.docx
 
Unary and binary set operations
Unary and binary set operationsUnary and binary set operations
Unary and binary set operations
 
U1 Cn3 Exponential Functions
U1 Cn3 Exponential FunctionsU1 Cn3 Exponential Functions
U1 Cn3 Exponential Functions
 
The Real Numbers
The Real NumbersThe Real Numbers
The Real Numbers
 
Advance algebra
Advance algebraAdvance algebra
Advance algebra
 
Business mathematics presentation
Business mathematics presentationBusiness mathematics presentation
Business mathematics presentation
 
Maths project
Maths projectMaths project
Maths project
 
1.5 all notes
1.5 all notes1.5 all notes
1.5 all notes
 
Math In Business boa
Math In Business boaMath In Business boa
Math In Business boa
 
Mathematics power point presenttation on the topic
Mathematics power point presenttation on the topicMathematics power point presenttation on the topic
Mathematics power point presenttation on the topic
 
Unit 05 - Limits and Continuity.pdf
Unit 05 - Limits and Continuity.pdfUnit 05 - Limits and Continuity.pdf
Unit 05 - Limits and Continuity.pdf
 
5. Limit Fungsi yang menjadi Aljabar.pptx
5. Limit Fungsi yang menjadi Aljabar.pptx5. Limit Fungsi yang menjadi Aljabar.pptx
5. Limit Fungsi yang menjadi Aljabar.pptx
 

More from jennytuazon01630

COMBINED VARIATION.pptx
COMBINED VARIATION.pptxCOMBINED VARIATION.pptx
COMBINED VARIATION.pptx
jennytuazon01630
 
Grade 7 Mathematics Week 4 2nd Quarter
Grade 7 Mathematics Week 4 2nd QuarterGrade 7 Mathematics Week 4 2nd Quarter
Grade 7 Mathematics Week 4 2nd Quarter
jennytuazon01630
 
Adding similar fractions
Adding similar fractionsAdding similar fractions
Adding similar fractions
jennytuazon01630
 
Oragnization and management
Oragnization and management   Oragnization and management
Oragnization and management
jennytuazon01630
 
INTRODUCTION TO ALGEBRA
INTRODUCTION TO ALGEBRAINTRODUCTION TO ALGEBRA
INTRODUCTION TO ALGEBRA
jennytuazon01630
 
Integers
IntegersIntegers
Cell organelles
Cell organellesCell organelles
Cell organelles
jennytuazon01630
 
measurements
measurementsmeasurements
measurements
jennytuazon01630
 
Properties of real numbers
Properties of real numbersProperties of real numbers
Properties of real numbers
jennytuazon01630
 
Learning the principle of subsidiarity
Learning the principle of subsidiarityLearning the principle of subsidiarity
Learning the principle of subsidiarity
jennytuazon01630
 
Order of operations
Order of operationsOrder of operations
Order of operations
jennytuazon01630
 
Divisibility rules 2 to 12
Divisibility rules 2 to 12Divisibility rules 2 to 12
Divisibility rules 2 to 12
jennytuazon01630
 
Addition and Subtraction of whole numbers
Addition and Subtraction of whole numbersAddition and Subtraction of whole numbers
Addition and Subtraction of whole numbers
jennytuazon01630
 
Terms used in statistics july 7
Terms used in statistics  july 7Terms used in statistics  july 7
Terms used in statistics july 7
jennytuazon01630
 
Introduction to statistics
Introduction to statisticsIntroduction to statistics
Introduction to statistics
jennytuazon01630
 
Graphical presentation of data
Graphical presentation of dataGraphical presentation of data
Graphical presentation of data
jennytuazon01630
 
Measures of variability
Measures of variabilityMeasures of variability
Measures of variability
jennytuazon01630
 
Experimental prob grand_demo_ppt2 (2)
Experimental prob grand_demo_ppt2 (2)Experimental prob grand_demo_ppt2 (2)
Experimental prob grand_demo_ppt2 (2)
jennytuazon01630
 
Parts of a circle
Parts of a circleParts of a circle
Parts of a circle
jennytuazon01630
 
Symbolic logic worksheet 3
Symbolic logic worksheet 3Symbolic logic worksheet 3
Symbolic logic worksheet 3
jennytuazon01630
 

More from jennytuazon01630 (20)

COMBINED VARIATION.pptx
COMBINED VARIATION.pptxCOMBINED VARIATION.pptx
COMBINED VARIATION.pptx
 
Grade 7 Mathematics Week 4 2nd Quarter
Grade 7 Mathematics Week 4 2nd QuarterGrade 7 Mathematics Week 4 2nd Quarter
Grade 7 Mathematics Week 4 2nd Quarter
 
Adding similar fractions
Adding similar fractionsAdding similar fractions
Adding similar fractions
 
Oragnization and management
Oragnization and management   Oragnization and management
Oragnization and management
 
INTRODUCTION TO ALGEBRA
INTRODUCTION TO ALGEBRAINTRODUCTION TO ALGEBRA
INTRODUCTION TO ALGEBRA
 
Integers
IntegersIntegers
Integers
 
Cell organelles
Cell organellesCell organelles
Cell organelles
 
measurements
measurementsmeasurements
measurements
 
Properties of real numbers
Properties of real numbersProperties of real numbers
Properties of real numbers
 
Learning the principle of subsidiarity
Learning the principle of subsidiarityLearning the principle of subsidiarity
Learning the principle of subsidiarity
 
Order of operations
Order of operationsOrder of operations
Order of operations
 
Divisibility rules 2 to 12
Divisibility rules 2 to 12Divisibility rules 2 to 12
Divisibility rules 2 to 12
 
Addition and Subtraction of whole numbers
Addition and Subtraction of whole numbersAddition and Subtraction of whole numbers
Addition and Subtraction of whole numbers
 
Terms used in statistics july 7
Terms used in statistics  july 7Terms used in statistics  july 7
Terms used in statistics july 7
 
Introduction to statistics
Introduction to statisticsIntroduction to statistics
Introduction to statistics
 
Graphical presentation of data
Graphical presentation of dataGraphical presentation of data
Graphical presentation of data
 
Measures of variability
Measures of variabilityMeasures of variability
Measures of variability
 
Experimental prob grand_demo_ppt2 (2)
Experimental prob grand_demo_ppt2 (2)Experimental prob grand_demo_ppt2 (2)
Experimental prob grand_demo_ppt2 (2)
 
Parts of a circle
Parts of a circleParts of a circle
Parts of a circle
 
Symbolic logic worksheet 3
Symbolic logic worksheet 3Symbolic logic worksheet 3
Symbolic logic worksheet 3
 

Chapter 5 algebra

  • 1. Chapter 5: Exponential and Logarithmic Function Definition of Logarithms Suppose b>0 and b≠ ퟏ. 퐅퐨퐫 풏 > ퟎ, 퐭퐡퐞퐫 퐢퐬 퐧퐮퐦퐛퐞퐫 풑 퐬퐮퐜퐡 퐭퐡퐚퐭 풍풐품풍풐품풃풏 = 풑 퐢퐟 퐚퐧퐟 퐨퐧퐥퐲 퐢퐟 풃풑 = 풏 Exponential Functions: The "Natural" Exponential "e" In this section we consider these functions. Name General Form Linear Quadratic Cubic Absolute value Exponential Logarithmic Reciprocal 푓(푥) = 푎푥 + 푏, 푎 ≠ 0 푓(푥) = 푎푥 2 + 푏푥 + 푐, 푎 ≠ 0 푓(푥) = 푎푥 3 + 푏푥 2 + 푐푥 + 푑, 푎 ≠ 0 푓(푥) = |푥| 푓(푥) = 푎푥 , 푎 > 0, 푎 ≠ 1 푓(푥) = 푙표푔푒푥 표푟 푓(푥) = 퐼푛 푥 푓(푥) = 푘 푥 , 푥 ≠ 0 f : x ↦ 푎푥 + 푏, 푎 ≠ 0 푓: 푥 ↦ 푎푥 2 + 푏푥 + 푐 푎 ≠ 0 푓: 푥 ↦ 푎푥 3 + 푏푥 2 + 푐푥 + 푑, 푎 ≠ 0 푓: 푥 ↦ |푥| 푓: 푥 ↦ 푎푥 , 푎 < 0 푓: 푥 ↦ 퐼푛 푥 푓: 푥 ↦ 푘 푥 , 푥 ≠ 0 There is one very important number that arises in the development of exponential functions, and that is the "natural" exponential. (If you really want to know about this number, you can read the book "e: The Story of a Number", by Eli Maor.) In the previous page's discussion of compound interest, recall that "n" stood for the number of compoundings in a year. What happens when you start compounding more and more frequently? What happens when you go from yearly to monthly to weekly to daily to hourly to minute-ly to second-ly to...?
  • 2. Ignoring the principal, the interest rate, and the number of years by setting all these variables equal to "1", and looking only at the influence of the number of compounding, we get: how often compounded computation yearly semi-annually quarterly monthly weekly daily hourly every minute every second As you can see, the computed value keeps getting larger and larger, the more often you compound. But the growth is slowing down; as the number of compounding increases, the computed value appears to be approaching some fixed value. You might think that the value of the compound-interest formula is getting closer and closer to a number that starts out "2.71828". And you'd be right; the number we're approaching is called "e". If you think back to geometry, you'll remember the number "pi", which was approximated by the decimal "3.14159" or the fraction " 22/7 ". Remember that we call pi by the name "pi" and use a symbol for this number because pi never ends when written as a decimal. It's not a "neat" number like 2 or –1/3; it is in fact an irrational number. But it's an important number; you'd have real trouble doing geometry without it. So we give this useful number the name "pi", to simplify our calculations and communication, because it's a lot easier to say "pi" than to say "3.141592653589 and so on forever" every time we need to refer to this number. We gave the number a letter - name because that was easier. In the same way, this compound-interest number is also very useful. You may not see the usefulness of it yet, but it is vital in physics and other sciences, and you can't do calculus without it. As with pi, listing out its first dozen or so digits every time we refer to this number gets to be annoying, so we call it by the name "e".
  • 3. The number "e" is the "natural" exponential, because it arises naturally in math and the physical sciences (that is, in "real life" situations), just as pi arises naturally in geometry. This number was discovered by a guy named Euler (pronounced "OY-ler"; I think he was Swiss), who described the number and named the number "e", and then swore that this stood for "exponential", and not for his own name. Your calculator can do computations with e; it is probably a "second function" on your calculator, right above the "ln" or "LN" key on your calculator.  Given f(x) = ex, evaluate f(3), rounding to two decimal places. I need to plug this into my calculator. (Check your owner's manual, if you're not sure of the key sequence.) I get: Copyright © Elizabeth Stapel 2002-2011 All Rights Reserved f(3) = 20.0855369232... Rounded to two decimal places, the answer is f(3) = 20.09.  Graph y = e2x. Since e is greater than 1, and since "2x" is "positive", then this should look like exponential growth. I will compute some plot points:
  • 4. Then I'll draw the graph: Make sure, when you are evaluating e2x, that you format the expression correctly. Either multiply out the "2x" first, and then apply it to the e, or else put the "2x" inside parentheses. Otherwise, the calculator will think you mean "e2 × x", and will return the wrong values, as is demonstrated at right: Your teacher or book may go on at length about using other bases for growth and decay equations, but, in "real life" (such as physics), the natural base e is generally used. The equation for "continual" growth (or decay) is A = Pert, where "A", is the ending amount, "P" is the beginning amount (principal, in the case of money), "r" is the growth or decay rate (expressed as a decimal), and "t" is the time (in whatever unit was used on the growth/decay rate). Make sure you have memorized this equation, along with the meanings of all the variables. You are almost certain to see it again, especially if you are taking any classes in the sciences. (This equation helped me pass a chemistry class. I really didn't know what the teacher was talking about, but all the test problems worked off this equation, so I just plugged in all the given information, and solved for whichever variable was left. I'm not saying this to advocate being clueless in chemistry, but to demonstrate that the above really is a useful equation.) The continuous-growth formula is first given in the above form "A = Pert", using "r" for the growth rate, but will later probably be given as A = Pekt, where "k" replaces "r", and stands for "growth (or decay) constant". Or different variables may be used, such as Q = Nekt, where "N" stands for the beginning amount and "Q" stands for the ending amount. The point is that, regardless of the letters used, the formula remains the same. And you
  • 5. should be familiar enough with the formula to recognize it, no matter what letters happen to be included within it.  Certain bacteria, given favorable growth conditions, grow continuously at a rate of4.6% a day. Find the bacterial population after thirty-six hours, if the initial population was 250 bacteria. As soon as I read "continuously", I should be thinking "continuously-compounded growth formula". "Continuously" is the buzz-word that tells me to use "A = Pert". The beginning amount was P = 250, the growth rate is r = 0.046, and the time t is 36/24 = 1.5 days. Why is "time" converted to days this time, instead of to years? Because the growth rate was expressed in terms of a given percentage per day. The rates in the compound-interest formula for money are always annual rates, which is why t was always in years in that context. But this is not the case for the general continual-growth/decay formula; the growth/decay rates in other, non-monetary, contexts might be measured in minutes, hours, days, etc. I plug in the known values, and simplify for the answer: A = 250e(0.046)(1.5) = 250e(0.069) = 267.859052287... There will be about 268 bacteria after thirty-six hours. By the way, if you do your calculations "inside-out", instead of left-to-right, you will be able to keep everything inside the calculator, and thereby avoid round-off error. For example, the above computation would be done like this: Exponential Function Exponential functions look somewhat similar to functions you have seen before, in that they involve exponents, but there is a big difference, in that the variable is now the power,
  • 6. rather than the base. Previously, you have dealt with such functions as f(x) = x2, where the variable x was the base and the number 2 was the power. In the case of exponentials, however, you will be dealing with functions such as g(x) = 2x, where the base is the fixed number, and the power is the variable. Let's look more closely at the function g(x) = 2x. To evaluate this function, we operate as usual, picking values of x, plugging them in, and simplifying for the answers. But to evaluate 2x, we need to remember how exponents work. In particular, we need to remember that negative exponents mean "put the base on the other side of the fraction line". So, while positive x-values give us values like these: ...negative x-values give us values like these: Copyright © Elizabeth Stapel 2002- 2011 All Rights Reserved
  • 7. Putting together the "reasonable" (nicely graphable) points, this is our T-chart: ...and this is our graph: Logarithmic Function Logarithms are the "opposite" of exponentials, just as subtraction is the opposite of addition and division is the opposite of multiplication. Logs "undo" exponentials. Technically speaking, logs are the inversesof exponentials. In practical terms, I have found it useful to think of logs in terms of The Relationship: —The Relationship— y = bx ..............is equivalent to............... (means the exact same thing as) Logb(y) = x
  • 8. On the left-hand side above is the exponential statement "y = bx". On the right-hand side above, "logb(y) = x" is the equivalent logarithmic statement, which is pronounced "log-base-b of y equals x"; The value of the subscripted "b" is "the base of the logarithm", just as b is the base in the exponential expression "bx". And, just as the base b in an exponential is always positive and not equal to 1, so also the base b for a logarithm is always positive and not equal to 1. Whatever is inside the logarithm is called the "argument" of the log. Note that the base in both the exponential equation and the log equation (above) is "b", but that the x and y switch sides when you switch between the two equationsIf you can remember this relationship (that whatever had been the argument of the log becomes the "equals" and whatever had been the "equals" becomes the exponent in the exponential, and vice versa), then you shouldn't have too much trouble with logarithms. (I coined the term "The Relationship" myself. You will not find it in your text, and your teachers and tutors will have no idea what you're talking about if you mention it to them. "The Relationship" is entirely non-standard terminology. Why do I use it anyway? Because it works.) By the way: If you noticed that I switched the variables between the two boxes displaying "The Relationship", you've got a sharp eye. I did that on purpose, to stress that the point is not the variables themselves, but how they move.  Convert "63 = 216" to the equivalent logarithmic expression. To convert, the base (that is, the 6)remains the same, but the 3 and the 216 switch sides. This gives me: log6(216) = 3  Convert "log4(1024) = 5" to the equivalent exponential expression. To convert, the base (that is, the 4) remains the same, but the 1024 and the 5 switch sides. This gives me: 45 = 102 Law of Logarithms Since a logarithm is simply an exponent which is just being written down on the line, we expect the logarithm laws to work the same as the rules for exponents, and luckily, they do. 3 important LAW OF LOGARITHMS log A + logB =log(AB)
  • 9. log A –logB =log 푨 푩, 푩 ≠ ퟎ 퐥퐨퐠 푨 = 퐥퐨퐠 푨풏 Exponents Logarithms `b^m × b^n = b^(m+n)` ` log_b xy = log_b x + log_b y` `b^m ÷ b^n = b^(m-n)` `log_b (x/y) = log_b x − log_b y` `(b^m)^n = b^(mn)` `log_b (x^n) = n log_b x` `b^1 = b` `log_b (b) = 1` `b^0 = 1` `log_b (1) = 0` Note: On our calculators, "log" (without any base) is taken to mean "log base 10". So, for example "log 7" means "log107". Examples 1. Expand log 7x as the sum of 2 logarithms. Using the first law given above, our answer is `log 7x = log 7 + log x` Note 1: This has the same meaning as `10^7 xx 10^x = 10^(7+x)` Note 2: This question is not the same as `log_7 x`, which means "log of x to the base `7`", which is quite different. 2. Using your calculator, show that `log (20/5) = log 20 − log 5`. I am using numbers this time so you can convince yourself that the log law works. LHS `= log (20/5)`
  • 10. `= log 4 ` `= 0.60206` (using calculator) Now RHS `= log 20 − log 5` `= 1.30103 − 0.69897` (using calculator) `= 0.60206 ` = LHS . 3. Express as a multiple of logarithms: log x5. Using the third logarithm law, we have `log x^5 = 5 log x` We have expressed it as a multiple of a logarithm, and it no longer involves an exponent. Note 1: Each of the following is equal to 1: log6 6 = log10 10 = logx x = loga a = 1 The equivalent statements, using ordinary exponents, are as follows: 61 = 6 101 = 10 x1 = x a1 = a Note 2: All of the following are equivalent to `0`: log7 1 = log10 1 = loge1 = logx 1 = 0
  • 11. The equivalent statments in exponential form are: 70 = 1 100 = 1 e0 = 1 x0 = 1 Examples: 1. Express as a sum, difference, or multiple of logarithms: `log_3((root(3)y)/8)` `log_3((root(3)y)/8)` ` =log_3(root(3)y)-log_3(8)` `=log_3(y^(1//3))-log_3(2^3)` `=1/3log_3(y)-3 log_3(2)` 2. Express 2 loge 2 + 3 loge n as the logarithm of a single quantity. Applying the logarithm laws, we have: 2 loge 2 + 3 loge n = loge 4 + loge n3 = loge 4n3 Note: The logarithm to base e is a very important logarithm. You will meet it first in Natural Logs (Base e) and will see it throughout the calculus chapters later. 3. Determine the exact value of: `log_3root(4)27`
  • 12. Let `log_3root(4)27=x` Then `3^x=root(4)27` Now `root(4)27=root(4)(3^3)=3^(3//4)` So x = 3/4. Therefore `log_3root(4)27=3//4` 4. Solve for y in terms of x: log2x + log2y = 1 Using the first log law, we can write: log2 xy = 1 Then xy = 21 So `y=2/x`