This document provides definitions and examples of exponential and logarithmic functions:
- It defines logarithms as the inverse of exponential functions, where evaluating bx is equivalent to taking the log base b of y equals x.
- It introduces the important number e, called the natural exponential, which arises from calculations of continuous compound interest as the number of compounding periods increases infinitely.
- It provides the continuous growth formula A=Pe^rt and examples of using it to model bacterial growth over time.
Sets & Set Operation
CMSC 56 | Discrete Mathematical Structure for Computer Science
September 11, 2018
Instructor: Allyn Joy D. Calcaben
College of Arts & Sciences
University of the Philippines Visayas
Generalizing Addition and Multiplication to an Operator Parametrized by a Rea...Daren Scot Wilson
Exploration of an mathematical idea that leads to a investigation of fractionally iterated exponential functions. Addition, multiplication... what's next? Powers lacks pleasant group properties. We invent a way around that. We find a general operator that reduces to addition, or multiplication, or that next operation, for special cases. There's even an operation "before" addition. Furthermore, there are operations between addition and multiplication.
Includes an original invention of a form of fractionally iterated exponential functions based on symmetry. It leads to some interesting strange functions.
The presentation ends with a few questions suitable for your own research.
Overall level is typical undergrad with some basic knowledge of real analysis and group theory, but a bright high school student will probably follow most of this.
This presentation is expository, not rigorous. The author hopes interested readers will enjoy digging in for their own exploration.
IOSR Journal of Mathematics(IOSR-JM) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of mathemetics and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in mathematics. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
JEE Mathematics/ Lakshmikanta Satapathy/ Fundamentals of set theory part 1/ Definition of set, Types of sets, empty set and infinite sets/ subset and power set/ Intervals as subsets of R
Sets & Set Operation
CMSC 56 | Discrete Mathematical Structure for Computer Science
September 11, 2018
Instructor: Allyn Joy D. Calcaben
College of Arts & Sciences
University of the Philippines Visayas
Generalizing Addition and Multiplication to an Operator Parametrized by a Rea...Daren Scot Wilson
Exploration of an mathematical idea that leads to a investigation of fractionally iterated exponential functions. Addition, multiplication... what's next? Powers lacks pleasant group properties. We invent a way around that. We find a general operator that reduces to addition, or multiplication, or that next operation, for special cases. There's even an operation "before" addition. Furthermore, there are operations between addition and multiplication.
Includes an original invention of a form of fractionally iterated exponential functions based on symmetry. It leads to some interesting strange functions.
The presentation ends with a few questions suitable for your own research.
Overall level is typical undergrad with some basic knowledge of real analysis and group theory, but a bright high school student will probably follow most of this.
This presentation is expository, not rigorous. The author hopes interested readers will enjoy digging in for their own exploration.
IOSR Journal of Mathematics(IOSR-JM) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of mathemetics and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in mathematics. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
JEE Mathematics/ Lakshmikanta Satapathy/ Fundamentals of set theory part 1/ Definition of set, Types of sets, empty set and infinite sets/ subset and power set/ Intervals as subsets of R
Ini merupakan sample borang soal selidik yang telah dibuat oleh kami. Saya sertakan sample ini sebagai rujukan anada untuk memudahkan kerja anda kelak...
Calculus Application Problem #3 Name _________________________.docxhumphrieskalyn
Calculus Application Problem #3 Name __________________________________________
The Deriving Dead! Due at the beginning of class ______________________
Introduction: Imagine that you are one of many people at a “party” and that, unknown to everyone else, one
person was bitten by a zombie on the way to the party! How quickly will the “zombiepocalypse” spread, and
what are the chances that you will leave the party as a zombie? The objective of this activity is to create a
mathematical model that describes the spread of a disease (such as a zombie virus) in a closed environment, and
then apply calculus concepts to this mathematical model.
Collecting the Data:
Let’s collect some data from an activity that will simulate the spread of a communicable disease over a period of
time, divided into “stages”.
The number of people in our “closed environment” is ________________
1
1
131211109876543210
Number
of Total
Infected
Number
of Newly
Infected
Stage
Number
Applying Calculus to the Data:
1. Using the data from the chart, make a scatterplot of the "Stage Number" (in L1) vs. the "Number of Total
Infected" (in L2). Sketch the scatterplot below. Connect the data points to create a continuous function for Y(t).
2. Using the data that was collected in the activity, answer the following questions about the derivative
function Y’(t), which represents the instantaneous rate of change of the number of infected at any stage.
Consider the domain to be [ 0 , 13 ].
a. When, if ever, is Y’(t) positive? ____________________________________
b. When, if ever, is Y’(t) negative? ___________________________________
c. When, if ever, is Y’(t) increasing? ____________________________________
d. When, if ever, is Y’(t) decreasing? ____________________________________
e. From your answers above, sketch a graph of Y’(t) below.
f. The t-value where Y’(t) changes from increasing to decreasing is the inflection point on Y(t).
According to the data in the chart, this occurs when t = _________, and the corresonding “y-value”
is ________.
(Note: We will check this later in the problem!)
Finding a Logistic Function that Models the Data
3. Since the data (should) appear to be a model for a logistic function, we need to find a function in the
form:
Y(t ) =
c
1 + a ⋅ e− b⋅t
,
where t represents the stage number and Y(t) represents the total number of infected people in stage t.
Therefore, we need to find values for the three constants a, b, and c. The value of c should be easy. For our
activity,
c = _________
To find a, use the initial point ( 0 , 1 ). Substitute this ordered pair, with the value of c into our logistic model and
solve for a. Show your work below.
a = _______________
To find b, the last constant in the model, we need another ordered pair. Let’s use an ordered pair near the middle
of the data, say during Stage #7.
Record this ordered pair: ( 7 , _________)
Substitut ...
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".
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,
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`