SlideShare a Scribd company logo
1 of 69
The Exponential Functions
http://www.lahc.edu/math/precalculus/math_260a.html
The Exponential Functions
The meaning positive integral exponents such as x2 is clear.
b0 = 1 b–K =
b = ( b ) b = ( )
K
N
K N
bK
1
K
N
 b
1
The Exponential Functions
K
N
The meaning positive integral exponents such as x2 is clear.
Below are the rules for other special exponents:
b0 = 1 b–K =
b = ( b ) b = ( )
K
N
K N
bK
1
K
N
 b
1
Example A.
80 =
8 =
The Exponential Functions
K
N
3
2
3
2
8 –2 =
8 =
The meaning positive integral exponents such as x2 is clear.
Below are the rules for other special exponents:
b0 = 1 b–K =
b = ( b ) b = ( )
K
N
K N
bK
1
K
N
 b
1
Example A.
80 = 1
8 =
The Exponential Functions
K
N
3
2
3
2
8 –2 =
8 =
The meaning positive integral exponents such as x2 is clear.
Below are the rules for other special exponents:
b0 = 1 b–K =
b = ( b ) b = ( )
K
N
K N
bK
1
K
N
 b
1
Example A.
80 = 1
8 =
82
1
64
1
The Exponential Functions
K
N
3
2
3
2
8 –2 = =
8 =
The meaning positive integral exponents such as x2 is clear.
Below are the rules for other special exponents:
b0 = 1 b–K =
b = ( b ) b = ( )
K
N
K N
bK
1
K
N
 b
1
Example A.
80 = 1
8 = (  8 ) = 4
3 2
82
1
64
1
The Exponential Functions
K
N
3
2
3
2
8 –2 = =
8 =
The meaning positive integral exponents such as x2 is clear.
Below are the rules for other special exponents:
b0 = 1 b–K =
b = ( b ) b = ( )
K
N
K N
bK
1
K
N
 b
1
Example A.
80 = 1
8 = (  8 ) = 4
3 2
82
1
3
2
 8
1
64
1
The Exponential Functions
K
N
3
2
3
2
8 –2 = =
8 = ( ) = 1/4
The meaning positive integral exponents such as x2 is clear.
Below are the rules for other special exponents:
b0 = 1 b–K =
b = ( b ) b = ( )
K
N
K N
bK
1
K
N
 b
1
Example A.
80 = 1
8 = (  8 ) = 4
3 2
82
1
3
2
 8
1
64
1
The Exponential Functions
K
N
3
2
3
2
Decimal exponents are well defined since decimals may be
represented as reduced fractions.
8 –2 = =
8 = ( ) = 1/4
The meaning positive integral exponents such as x2 is clear.
Below are the rules for other special exponents:
b0 = 1 b–K =
b = ( b ) b = ( )
K
N
K N
bK
1
K
N
 b
1
Example A.
80 = 1
8 = (  8 ) = 4
3 2
82
1
3
2
 8
1
64
1
The Exponential Functions
K
N
3
2
3
2
Decimal exponents are well defined since decimals may be
represented as reduced fractions.
b. 101.22 =
8 –2 = =
8 = ( ) = 1/4
Example B.
a. 91.50 =
The meaning positive integral exponents such as x2 is clear.
Below are the rules for other special exponents:
b0 = 1 b–K =
b = ( b ) b = ( )
K
N
K N
bK
1
K
N
 b
1
Example A.
80 = 1
8 = (  8 ) = 4
3 2
82
1
3
2
 8
1
64
1
The Exponential Functions
K
N
3
2
3
2
Decimal exponents are well defined since decimals may be
represented as reduced fractions.
b. 101.22 =
8 –2 = =
8 = ( ) = 1/4
Example B.
a. 91.50 = 9 =
3
2
The meaning positive integral exponents such as x2 is clear.
Below are the rules for other special exponents:
b0 = 1 b–K =
b = ( b ) b = ( )
K
N
K N
bK
1
K
N
 b
1
Example A.
80 = 1
8 = (  8 ) = 4
3 2
82
1
3
2
 8
1
64
1
The Exponential Functions
K
N
3
2
3
2
Decimal exponents are well defined since decimals may be
represented as reduced fractions.
b. 101.22 =
8 –2 = =
8 = ( ) = 1/4
Example B.
a. 91.50 = 9 = (9 ) = 27
3
2
3
The meaning positive integral exponents such as x2 is clear.
Below are the rules for other special exponents:
b0 = 1 b–K =
b = ( b ) b = ( )
K
N
K N
bK
1
K
N
 b
1
Example A.
80 = 1
8 = (  8 ) = 4
3 2
82
1
3
2
 8
1
64
1
The Exponential Functions
K
N
3
2
3
2
Decimal exponents are well defined since decimals may be
represented as reduced fractions.
b. 101.22 = 10
61
50
8 –2 = =
8 = ( ) = 1/4
Example B.
a. 91.50 = 9 = (9 ) = 27
3
2
3
The meaning positive integral exponents such as x2 is clear.
Below are the rules for other special exponents:
b0 = 1 b–K =
b = ( b ) b = ( )
K
N
K N
bK
1
K
N
 b
1
Example A.
80 = 1
8 = (  8 ) = 4
3 2
82
1
3
2
 8
1
64
1
The Exponential Functions
K
N
3
2
3
2
Decimal exponents are well defined since decimals may be
represented as reduced fractions.
b. 101.22 = 10 = ( 10 )  16.59586….
61
50
50 61
8 –2 = =
8 = ( ) = 1/4
Example B.
a. 91.50 = 9 = (9 ) = 27
3
2
3
The meaning positive integral exponents such as x2 is clear.
Below are the rules for other special exponents:
For a real-number-exponent such as , we approximate the
real number with fractions then use the fractional powers to
approximate the result.
  3.14159..
10 
Example C.
The Exponential Functions
For a real-number-exponent such as , we approximate the
real number with fractions then use the fractional powers to
approximate the result.
  3.14159.. 3.1 3.14 3.141 3.1415
10 
Example C.

The Exponential Functions
For a real-number-exponent such as , we approximate the
real number with fractions then use the fractional powers to
approximate the result.
  3.14159.. 3.1 3.14 3.141 3.1415
10  10
Example C.
31
10

The Exponential Functions
≈1258.9..
For a real-number-exponent such as , we approximate the
real number with fractions then use the fractional powers to
approximate the result.
  3.14159.. 3.1 3.14 3.141 3.1415
10  10 10
Example C.
31
10
314
100

The Exponential Functions
≈1258.9.. ≈1380.3..
For a real-number-exponent such as , we approximate the
real number with fractions then use the fractional powers to
approximate the result.
  3.14159.. 3.1 3.14 3.141 3.1415
10  10 10 10 10
Example C.
31
10
314
100
3141
1000
31415
10000

The Exponential Functions
≈1258.9.. ≈1380.3.. ≈1383.5.. ≈1385.1..
For a real-number-exponent such as , we approximate the
real number with fractions then use the fractional powers to
approximate the result.
  3.14159.. 3.1 3.14 3.141 3.1415
10  10 10 10 10 10≈1385.45..
Example C.
31
10
314
100
3141
1000
31415
10000

The Exponential Functions
≈1258.9.. ≈1380.3.. ≈1383.5.. ≈1385.1..
For a real-number-exponent such as , we approximate the
real number with fractions then use the fractional powers to
approximate the result.
  3.14159.. 3.1 3.14 3.141 3.1415
10  10 10 10 10 10≈1385.45..
Example C.
31
10
314
100
3141
1000
31415
10000

The Exponential Functions
Hence exponential functions or functions of the form
f(x) = bx (b > 0 and b  1) are defined for all real numbers x.
≈1258.9.. ≈1380.3.. ≈1383.5.. ≈1385.1..
For a real-number-exponent such as , we approximate the
real number with fractions then use the fractional powers to
approximate the result.
  3.14159.. 3.1 3.14 3.141 3.1415
10  10 10 10 10 10≈1385.45..
Example C.
31
10
314
100
3141
1000
31415
10000

The Exponential Functions
Hence exponential functions or functions of the form
f(x) = bx (b > 0 and b  1) are defined for all real numbers x.
≈1258.9.. ≈1380.3.. ≈1383.5.. ≈1385.1..
Exponential functions show up in finance, bio science,
computer science and physical sciences.
For a real-number-exponent such as , we approximate the
real number with fractions then use the fractional powers to
approximate the result.
  3.14159.. 3.1 3.14 3.141 3.1415
10  10 10 10 10 10≈1385.45..
Example C.
31
10
314
100
3141
1000
31415
10000

The Exponential Functions
Hence exponential functions or functions of the form
f(x) = bx (b > 0 and b  1) are defined for all real numbers x.
≈1258.9.. ≈1380.3.. ≈1383.5.. ≈1385.1..
Exponential functions show up in finance, bio science,
computer science and physical sciences.
The most used exponential functions are
y = 10x, y = ex and y = 2x.
For a real-number-exponent such as , we approximate the
real number with fractions then use the fractional powers to
approximate the result.
  3.14159.. 3.1 3.14 3.141 3.1415
10  10 10 10 10 10≈1385.45..
Example C.
31
10
314
100
3141
1000
31415
10000

The Exponential Functions
Hence exponential functions or functions of the form
f(x) = bx (b > 0 and b  1) are defined for all real numbers x.
≈1258.9.. ≈1380.3.. ≈1383.5.. ≈1385.1..
Exponential functions show up in finance, bio science,
computer science and physical sciences.
The most used exponential functions are
y = 10x, y = ex and y = 2x.
Let’s use $ growth as applications below.
Example D. We deposit $1,000 in an account that gives
1% interest compounded monthly. How much money is there
after 1 month? 2 months? 3 months? and after 4 months?
Compound Interest
Example D. We deposit $1,000 in an account that gives
1% interest compounded monthly. How much money is there
after 1 month? 2 months? 3 months? and after 4 months?
Compound Interest
Let P = principal, i = (periodic) interest rate, A = accumulation.
After 1 period A = P(1 + i)
Example D. We deposit $1,000 in an account that gives
1% interest compounded monthly. How much money is there
after 1 month? 2 months? 3 months? and after 4 months?
After 1 month: 1000(1 + 0.01) = $1010.
Compound Interest
Let P = principal, i = (periodic) interest rate, A = accumulation.
After 1 period A = P(1 + i)
Example D. We deposit $1,000 in an account that gives
1% interest compounded monthly. How much money is there
after 1 month? 2 months? 3 months? and after 4 months?
After 1 month: 1000(1 + 0.01) = $1010.
After 2 months: 1010(1 + 0.01)
Compound Interest
Let P = principal, i = (periodic) interest rate, A = accumulation.
After 1 period A = P(1 + i)
Example D. We deposit $1,000 in an account that gives
1% interest compounded monthly. How much money is there
after 1 month? 2 months? 3 months? and after 4 months?
After 1 month: 1000(1 + 0.01) = $1010.
After 2 months: 1010(1 + 0.01) = 1000(1 + 0.01)(1 + 0.01)
Compound Interest
Let P = principal, i = (periodic) interest rate, A = accumulation.
After 1 period A = P(1 + i)
Example D. We deposit $1,000 in an account that gives
1% interest compounded monthly. How much money is there
after 1 month? 2 months? 3 months? and after 4 months?
After 1 month: 1000(1 + 0.01) = $1010.
After 2 months: 1010(1 + 0.01) = 1000(1 + 0.01)(1 + 0.01)
= 1000(1 + 0.01)2 = $1020.10
Compound Interest
Let P = principal, i = (periodic) interest rate, A = accumulation.
After 1 period A = P(1 + i)
Example D. We deposit $1,000 in an account that gives
1% interest compounded monthly. How much money is there
after 1 month? 2 months? 3 months? and after 4 months?
After 1 month: 1000(1 + 0.01) = $1010.
After 2 months: 1010(1 + 0.01) = 1000(1 + 0.01)(1 + 0.01)
= 1000(1 + 0.01)2 = $1020.10
Compound Interest
Let P = principal, i = (periodic) interest rate, A = accumulation.
After 1 period A = P(1 + i)
After 2 periods A = P(1 + i)(1 + i) = P(1 + i)2
Example D. We deposit $1,000 in an account that gives
1% interest compounded monthly. How much money is there
after 1 month? 2 months? 3 months? and after 4 months?
After 1 month: 1000(1 + 0.01) = $1010.
After 2 months: 1010(1 + 0.01) = 1000(1 + 0.01)(1 + 0.01)
= 1000(1 + 0.01)2 = $1020.10
After 3 months: 1020.10(1 + 0.01) = 1000(1 + 0.01)2(1 + 0.01)
= 1000(1 + 0.01)3 = $1030.30
Compound Interest
Let P = principal, i = (periodic) interest rate, A = accumulation.
After 1 period A = P(1 + i)
After 2 periods A = P(1 + i)(1 + i) = P(1 + i)2
Example D. We deposit $1,000 in an account that gives
1% interest compounded monthly. How much money is there
after 1 month? 2 months? 3 months? and after 4 months?
After 1 month: 1000(1 + 0.01) = $1010.
After 2 months: 1010(1 + 0.01) = 1000(1 + 0.01)(1 + 0.01)
= 1000(1 + 0.01)2 = $1020.10
After 3 months: 1020.10(1 + 0.01) = 1000(1 + 0.01)2(1 + 0.01)
= 1000(1 + 0.01)3 = $1030.30
Compound Interest
Let P = principal, i = (periodic) interest rate, A = accumulation.
After 1 period A = P(1 + i)
After 2 periods A = P(1 + i)(1 + i) = P(1 + i)2
After 3 periods A = P(1 + i)2(1 + i) = P(1 + i)3
Example D. We deposit $1,000 in an account that gives
1% interest compounded monthly. How much money is there
after 1 month? 2 months? 3 months? and after 4 months?
After 1 month: 1000(1 + 0.01) = $1010.
After 2 months: 1010(1 + 0.01) = 1000(1 + 0.01)(1 + 0.01)
= 1000(1 + 0.01)2 = $1020.10
After 3 months: 1020.10(1 + 0.01) = 1000(1 + 0.01)2(1 + 0.01)
= 1000(1 + 0.01)3 = $1030.30
After 4 months: 1030.30(1 + 0.01) = 1000(1 + 0.01)3(1 + 0.01)
= 1000(1 + 0.01)4 = $1040.60
Compound Interest
Let P = principal, i = (periodic) interest rate, A = accumulation.
After 1 period A = P(1 + i)
After 2 periods A = P(1 + i)(1 + i) = P(1 + i)2
After 3 periods A = P(1 + i)2(1 + i) = P(1 + i)3
Example D. We deposit $1,000 in an account that gives
1% interest compounded monthly. How much money is there
after 1 month? 2 months? 3 months? and after 4 months?
After 1 month: 1000(1 + 0.01) = $1010.
After 2 months: 1010(1 + 0.01) = 1000(1 + 0.01)(1 + 0.01)
= 1000(1 + 0.01)2 = $1020.10
After 3 months: 1020.10(1 + 0.01) = 1000(1 + 0.01)2(1 + 0.01)
= 1000(1 + 0.01)3 = $1030.30
After 4 months: 1030.30(1 + 0.01) = 1000(1 + 0.01)3(1 + 0.01)
= 1000(1 + 0.01)4 = $1040.60
Compound Interest
Let P = principal, i = (periodic) interest rate, A = accumulation.
After 1 period A = P(1 + i)
After 2 periods A = P(1 + i)(1 + i) = P(1 + i)2
After 3 periods A = P(1 + i)2(1 + i) = P(1 + i)3
Continue the pattern, after N periods, we obtain the
exponential periodic-compound formula (PINA): P(1 + i)N = A.
Compound Interest
Let P = principal
i = (periodic) interest rate,
N = number of periods
A = accumulation
The PINA Formula (Periodic Interest)
Compound Interest
Let P = principal
i = (periodic) interest rate,
N = number of periods
A = accumulation
then P(1 + i) N = A
The PINA Formula (Periodic Interest)
Compound Interest
Let P = principal
i = (periodic) interest rate,
N = number of periods
A = accumulation
then P(1 + i) N = A
The PINA Formula (Periodic Interest)
We use the following time line to see what is happening.
0 1 2 3 Nth periodN–1
Compound Interest
Let P = principal
i = (periodic) interest rate,
N = number of periods
A = accumulation
then P(1 + i) N = A
The PINA Formula (Periodic Interest)
We use the following time line to see what is happening.
P
0 1 2 3 Nth periodN–1
Rule: Multiply (1 + i) each period forward
Compound Interest
Let P = principal
i = (periodic) interest rate,
N = number of periods
A = accumulation
then P(1 + i) N = A
The PINA Formula (Periodic Interest)
We use the following time line to see what is happening.
P
0 1 2 3 Nth periodN–1
Rule: Multiply (1 + i) each period forward
P(1 + i)
Compound Interest
Let P = principal
i = (periodic) interest rate,
N = number of periods
A = accumulation
then P(1 + i) N = A
The PINA Formula (Periodic Interest)
We use the following time line to see what is happening.
P
0 1 2 3 Nth periodN–1
Rule: Multiply (1 + i) each period forward
P(1 + i) P(1 + i) 2
Compound Interest
Let P = principal
i = (periodic) interest rate,
N = number of periods
A = accumulation
then P(1 + i) N = A
The PINA Formula (Periodic Interest)
We use the following time line to see what is happening.
P
0 1 2 3 Nth periodN–1
Rule: Multiply (1 + i) each period forward
P(1 + i) P(1 + i) 2 P(1 + i) 3
Compound Interest
Let P = principal
i = (periodic) interest rate,
N = number of periods
A = accumulation
then P(1 + i) N = A
The PINA Formula (Periodic Interest)
We use the following time line to see what is happening.
P
0 1 2 3 Nth periodN–1
Rule: Multiply (1 + i) each period forward
P(1 + i) P(1 + i) 2 P(1 + i) 3 P(1 + i) N - 1
Compound Interest
Let P = principal
i = (periodic) interest rate,
N = number of periods
A = accumulation
then P(1 + i) N = A
The PINA Formula (Periodic Interest)
We use the following time line to see what is happening.
P
0 1 2 3 Nth periodN–1
Rule: Multiply (1 + i) each period forward
P(1 + i) P(1 + i) 2 P(1 + i) 3 P(1 + i) N - 1 P(1 + i) N
Compound Interest
Let P = principal
i = (periodic) interest rate,
N = number of periods
A = accumulation
then P(1 + i) N = A
The PINA Formula (Periodic Interest)
We use the following time line to see what is happening.
P
0 1 2 3 Nth periodN–1
Rule: Multiply (1 + i) each period forward
P(1 + i) P(1 + i) 2 P(1 + i) 3 P(1 + i) N - 1 P(1 + i) N
Example E. $1,000 is in an account that has a monthly interest
rate of 1%. How much will be there after 60 years?
Compound Interest
Let P = principal
i = (periodic) interest rate,
N = number of periods
A = accumulation
then P(1 + i) N = A
The PINA Formula (Periodic Interest)
We use the following time line to see what is happening.
P
0 1 2 3 Nth periodN–1
Rule: Multiply (1 + i) each period forward
P(1 + i) P(1 + i) 2 P(1 + i) 3 P(1 + i) N - 1 P(1 + i) N
Example E. $1,000 is in an account that has a monthly interest
rate of 1%. How much will be there after 60 years?
We have P = $1,000, i = 1% = 0.01, N =
Compound Interest
Let P = principal
i = (periodic) interest rate,
N = number of periods
A = accumulation
then P(1 + i) N = A
The PINA Formula (Periodic Interest)
We use the following time line to see what is happening.
P
0 1 2 3 Nth periodN–1
Rule: Multiply (1 + i) each period forward
P(1 + i) P(1 + i) 2 P(1 + i) 3 P(1 + i) N - 1 P(1 + i) N
Example E. $1,000 is in an account that has a monthly interest
rate of 1%. How much will be there after 60 years?
We have P = $1,000, i = 1% = 0.01, N = 60 *12 = 720 months
Compound Interest
Let P = principal
i = (periodic) interest rate,
N = number of periods
A = accumulation
then P(1 + i) N = A
The PINA Formula (Periodic Interest)
We use the following time line to see what is happening.
P
0 1 2 3 Nth periodN–1
Rule: Multiply (1 + i) each period forward
P(1 + i) P(1 + i) 2 P(1 + i) 3 P(1 + i) N - 1 P(1 + i) N
Example E. $1,000 is in an account that has a monthly interest
rate of 1%. How much will be there after 60 years?
We have P = $1,000, i = 1% = 0.01, N = 60 *12 = 720 months
so by PINA, there will be 1000(1 + 0.01) 720
Compound Interest
Let P = principal
i = (periodic) interest rate,
N = number of periods
A = accumulation
then P(1 + i) N = A
The PINA Formula (Periodic Interest)
We use the following time line to see what is happening.
P
0 1 2 3 Nth periodN–1
Rule: Multiply (1 + i) each period forward
P(1 + i) P(1 + i) 2 P(1 + i) 3 P(1 + i) N - 1 P(1 + i) N
Example E. $1,000 is in an account that has a monthly interest
rate of 1%. How much will be there after 60 years?
We have P = $1,000, i = 1% = 0.01, N = 60 *12 = 720 months
so by PINA, there will be 1000(1 + 0.01) 720 = $1,292,376.71
after 60 years.
Compound Interest
In practice, compound interests are usually quoted in
annual interest rate r and the frequency f, the number of times
of compounding in one year, so the periodic rate i = .
r
f
Example F. We open an account with annual rate r = 9%,
compounded monthly, i.e. 12 times a year.
Compound Interest
In practice, compound interests are usually quoted in
annual interest rate r and the frequency f, the number of times
of compounding in one year, so the periodic rate i = .
r
f
Example F. We open an account with annual rate r = 9%,
compounded monthly, i.e. 12 times a year.
We have r = 9% = 0.09 for one year,
and f = 12 is the number of times of compounding in one year,
Compound Interest
In practice, compound interests are usually quoted in
annual interest rate r and the frequency f, the number of times
of compounding in one year, so the periodic rate i = .
r
f
Example F. We open an account with annual rate r = 9%,
compounded monthly, i.e. 12 times a year.
We have r = 9% = 0.09 for one year,
and f = 12 is the number of times of compounding in one year,
so the periodic or monthly rate i = 0.09/12.
Compound Interest
In practice, compound interests are usually quoted in
annual interest rate r and the frequency f, the number of times
of compounding in one year, so the periodic rate i = .
r
f
Example F. We open an account with annual rate r = 9%,
compounded monthly, i.e. 12 times a year. After 40 years the
total return is $250,000, what was the initial principal?
We have r = 9% = 0.09 for one year,
and f = 12 is the number of times of compounding in one year,
so the periodic or monthly rate i = 0.09/12.
Compound Interest
In practice, compound interests are usually quoted in
annual interest rate r and the frequency f, the number of times
of compounding in one year, so the periodic rate i = .
r
f
Example F. We open an account with annual rate r = 9%,
compounded monthly, i.e. 12 times a year. After 40 years the
total return is $250,000, what was the initial principal?
We have r = 9% = 0.09 for one year,
and f = 12 is the number of times of compounding in one year,
so the periodic or monthly rate i = 0.09/12. After 40 years, i.e.
N = 40(12) = 480 months the return A = 250,000
Compound Interest
In practice, compound interests are usually quoted in
annual interest rate r and the frequency f, the number of times
of compounding in one year, so the periodic rate i = .
r
f
Example F. We open an account with annual rate r = 9%,
compounded monthly, i.e. 12 times a year. After 40 years the
total return is $250,000, what was the initial principal?
We have r = 9% = 0.09 for one year,
and f = 12 is the number of times of compounding in one year,
so the periodic or monthly rate i = 0.09/12. After 40 years, i.e.
N = 40(12) = 480 months the return A = 250,000, so by PINA:
Compound Interest
P (1 + ) 480 = 250,0000.09
12
In practice, compound interests are usually quoted in
annual interest rate r and the frequency f, the number of times
of compounding in one year, so the periodic rate i = .
r
f
Example F. We open an account with annual rate r = 9%,
compounded monthly, i.e. 12 times a year. After 40 years the
total return is $250,000, what was the initial principal?
We have r = 9% = 0.09 for one year,
and f = 12 is the number of times of compounding in one year,
so the periodic or monthly rate i = 0.09/12. After 40 years, i.e.
N = 40(12) = 480 months the return A = 250,000, so by PINA:
Compound Interest
P (1 + ) 480 = 250,0000.09
12 or
(1 + ) 480
P = 250,000
0.09
12
In practice, compound interests are usually quoted in
annual interest rate r and the frequency f, the number of times
of compounding in one year, so the periodic rate i = .
r
f
Example F. We open an account with annual rate r = 9%,
compounded monthly, i.e. 12 times a year. After 40 years the
total return is $250,000, what was the initial principal?
We have r = 9% = 0.09 for one year,
and f = 12 is the number of times of compounding in one year,
so the periodic or monthly rate i = 0.09/12. After 40 years, i.e.
N = 40(12) = 480 months the return A = 250,000, so by PINA:
Compound Interest
P (1 + ) 480 = 250,0000.09
12 or
(1 + ) 480
P = 250,000
0.09
12
P = $6,923.31
by calculator
Hence the initial deposit is $6,923.31.
In practice, compound interests are usually quoted in
annual interest rate r and the frequency f, the number of times
of compounding in one year, so the periodic rate i = .
r
f
x -4 -3 -2 -1 0 1 2 3 4
y=2x 1/16 1/8 1/4 1/2 1 2 4 8 16
Graphs of the Exponential Functions
Here is a table of y = 2x for plotting its graph.
(0,1)
(1,2)
(2,4)
(3,8)
(-1,1/2)(-2,1/4)
y=2x
Graph of y = 2x
x -4 -3 -2 -1 0 1 2 3 4
y=2x 1/16 1/8 1/4 1/2 1 2 4 8 16
Graphs of the Exponential Functions
Here is a table of y = 2x for plotting its graph.
(0,1)
(1,2)
(2,4)
(3,8)
(-1,1/2)(-2,1/4)
y=2x
Graph of y = 2x
x -4 -3 -2 -1 0 1 2 3 4
y=2x 1/16 1/8 1/4 1/2 1 2 4 8 16
Graphs of the Exponential Functions
Graph of y = bx where b>1
Here is a table of y = 2x for plotting its graph.
This is the shape of the graphs of y = bx for b > 1.
x -4 -3 -2 -1 0 1 2 3 4
y=(½)x 16 8 4 2 1 1/2 1/4 1/8 1/16
Here is a table of y = (½)x for plotting its graph.
Graphs of the Exponential Functions
(0,1)
(-1,2)
(-2,4)
(-3,8)
(1,1/2) (2,1/4)
y= (½)x
Graph of y = (½)x
x -4 -3 -2 -1 0 1 2 3 4
y=(½)x 16 8 4 2 1 1/2 1/4 1/8 1/16
Here is a table of y = (½)x for plotting its graph.
Graphs of the Exponential Functions
(0,1)
(-1,2)
(-2,4)
(-3,8)
(1,1/2) (2,1/4)
y= (½)x
Graph of y = bx where 0<b<1Graph of y = (½)x
x -4 -3 -2 -1 0 1 2 3 4
y=(½)x 16 8 4 2 1 1/2 1/4 1/8 1/16
Here is a table of y = (½)x for plotting its graph.
Graphs of the Exponential Functions
This is the shape of the graphs of y = bx for b < 1.
The graphs shown here are the different returns with r = 20%
with different compounding frequencies.
Compounded return on $1,000 with annual interest rate r = 20% (Wikipedia)
Compound Interest
The graphs shown here are the different returns with r = 20%
with different compounding frequencies. We observe that
I. the more frequently we compound, the bigger the return
Compounded return on $1,000 with annual interest rate r = 20% (Wikipedia)
Compound Interest
The graphs shown here are the different returns with r = 20%
with different compounding frequencies. We observe that
I. the more frequently we compound, the bigger the return
II. but the returns do not go above the blue-line
the continuous compound return, which is the next topic.
Compounded return on $1,000 with annual interest rate r = 20% (Wikipedia)
Compound Interest
Compound Interest
B. Given the monthly compounded periodic rate i, find the
principal needed to obtain a return of $1,000 after the given
amount the time.
1. i = 1%, time = 60 months.
Exercise A. Given the monthly compounded periodic rate i and
the amount of time, find the return with a principal of $1,000.
2. i = 1%, time = 60 years.
3. i = ½ %, time = 60 years 4. i = ½ %, time = 60 months.
5. i = 1¼ %, time = 6 months. 6. i = 1¼ %, time = 5½ years.
.7. i = 3/8%, time = 52 months. 8. i = 2/3%, time = 27 months.
1. i = 1%, time = 60 months. 2. i = 1%, time = 60 years.
3. i = ½ %, time = 60 years 4. i = ½ %, time = 60 months.
5. i = 1¼ %, time = 60 months. 6. i = 1¼ %, time = 60 years.
7. i = 3/8%, time = 60 years 8. i = 2/3%, time = 60 months.
Compound Interest
D. Given the annual rate r, convert it into the monthly
compounded periodic rate i and find the principal needed to
obtain $1,000 after the given amount the time.
1. r = 1%, time = 60 months.
C. Given the annual rate r, convert it into the monthly
compounded periodic rate i and find the return with a principal
of $1,000 after the given amount of time.
2. r = 1%, time = 60 years.
3. r = 3 %, time = 60 years 4. r = 3½ %, time = 60 months.
1. r = 1%, time = 60 months. 2. r = 1%, time = 60 years.
3. r = 3 %, time = 60 years 4. r = 3½ %, time = 60 months.
5. r = 1¼ %, time = 6 months. 6. r = 1¼ %, time = 5½ years.
.7. r = 3/8%, time = 52 months. 8. r = 2/3%, time = 27 months.
5. r = 1¼ %, time = 6 months. 6. r = 1¼ %, time = 5½ years.
.7. r = 3/8%, time = 52 months. 8. r = 2/3%, time = 27 months.

More Related Content

What's hot

1exponents
1exponents1exponents
1exponentsmath123a
 
2.5 calculation with log and exp
2.5 calculation with log and exp2.5 calculation with log and exp
2.5 calculation with log and expmath123c
 
4 5 fractional exponents-x
4 5 fractional exponents-x4 5 fractional exponents-x
4 5 fractional exponents-xmath123b
 
25 continuous compound interests perta x
25 continuous compound interests perta  x25 continuous compound interests perta  x
25 continuous compound interests perta xmath260
 
4.5 calculation with log and exp
4.5 calculation with log and exp4.5 calculation with log and exp
4.5 calculation with log and expmath260
 
3.2 more on log and exponential equations
3.2 more on log and exponential equations3.2 more on log and exponential equations
3.2 more on log and exponential equationsmath123c
 
1.3 solving equations
1.3 solving equations1.3 solving equations
1.3 solving equationsmath260
 
27 calculation with log and exp x
27 calculation with log and exp x27 calculation with log and exp x
27 calculation with log and exp xmath260
 
1 4 cancellation
1 4 cancellation1 4 cancellation
1 4 cancellationmath123b
 
46polynomial expressions
46polynomial expressions46polynomial expressions
46polynomial expressionsalg1testreview
 
53 multiplication and division of rational expressions
53 multiplication and division of rational expressions53 multiplication and division of rational expressions
53 multiplication and division of rational expressionsalg1testreview
 
47 operations of 2nd degree expressions and formulas
47 operations of 2nd degree expressions and formulas47 operations of 2nd degree expressions and formulas
47 operations of 2nd degree expressions and formulasalg1testreview
 
28 more on log and exponential equations x
28 more on log and exponential equations x28 more on log and exponential equations x
28 more on log and exponential equations xmath260
 
1.4 review on log exp-functions
1.4 review on log exp-functions1.4 review on log exp-functions
1.4 review on log exp-functionsmath265
 
4 4polynomial operations
4 4polynomial operations4 4polynomial operations
4 4polynomial operationsmath123a
 
3.1 higher derivatives
3.1 higher derivatives3.1 higher derivatives
3.1 higher derivativesmath265
 
Difference quotient algebra
Difference quotient algebraDifference quotient algebra
Difference quotient algebramath260
 

What's hot (20)

1exponents
1exponents1exponents
1exponents
 
44 exponents
44 exponents44 exponents
44 exponents
 
2.5 calculation with log and exp
2.5 calculation with log and exp2.5 calculation with log and exp
2.5 calculation with log and exp
 
4 5 fractional exponents-x
4 5 fractional exponents-x4 5 fractional exponents-x
4 5 fractional exponents-x
 
25 continuous compound interests perta x
25 continuous compound interests perta  x25 continuous compound interests perta  x
25 continuous compound interests perta x
 
4.5 calculation with log and exp
4.5 calculation with log and exp4.5 calculation with log and exp
4.5 calculation with log and exp
 
3.2 more on log and exponential equations
3.2 more on log and exponential equations3.2 more on log and exponential equations
3.2 more on log and exponential equations
 
1.3 solving equations
1.3 solving equations1.3 solving equations
1.3 solving equations
 
27 calculation with log and exp x
27 calculation with log and exp x27 calculation with log and exp x
27 calculation with log and exp x
 
1 4 cancellation
1 4 cancellation1 4 cancellation
1 4 cancellation
 
43literal equations
43literal equations43literal equations
43literal equations
 
46polynomial expressions
46polynomial expressions46polynomial expressions
46polynomial expressions
 
53 multiplication and division of rational expressions
53 multiplication and division of rational expressions53 multiplication and division of rational expressions
53 multiplication and division of rational expressions
 
47 operations of 2nd degree expressions and formulas
47 operations of 2nd degree expressions and formulas47 operations of 2nd degree expressions and formulas
47 operations of 2nd degree expressions and formulas
 
28 more on log and exponential equations x
28 more on log and exponential equations x28 more on log and exponential equations x
28 more on log and exponential equations x
 
1.4 review on log exp-functions
1.4 review on log exp-functions1.4 review on log exp-functions
1.4 review on log exp-functions
 
4 4polynomial operations
4 4polynomial operations4 4polynomial operations
4 4polynomial operations
 
Quant Fomulae
Quant FomulaeQuant Fomulae
Quant Fomulae
 
3.1 higher derivatives
3.1 higher derivatives3.1 higher derivatives
3.1 higher derivatives
 
Difference quotient algebra
Difference quotient algebraDifference quotient algebra
Difference quotient algebra
 

Viewers also liked

Exponential functions
Exponential functionsExponential functions
Exponential functionskvillave
 
Tutorials--Exponential Functions in Tabular and Graph Form
Tutorials--Exponential Functions in Tabular and Graph FormTutorials--Exponential Functions in Tabular and Graph Form
Tutorials--Exponential Functions in Tabular and Graph FormMedia4math
 
Lesson 3.1
Lesson 3.1Lesson 3.1
Lesson 3.1kvillave
 
Simple interest
Simple interestSimple interest
Simple interestAnju Soman
 
4.1 exponential functions 2
4.1 exponential functions 24.1 exponential functions 2
4.1 exponential functions 2kvillave
 
61 exponential functions
61 exponential functions61 exponential functions
61 exponential functionsmath126
 
The Exponential and natural log functions
The Exponential and natural log functionsThe Exponential and natural log functions
The Exponential and natural log functionsJJkedst
 
Lesson 14: Exponential Functions
Lesson 14: Exponential FunctionsLesson 14: Exponential Functions
Lesson 14: Exponential FunctionsMatthew Leingang
 
Compound Interest
Compound InterestCompound Interest
Compound Interestitutor
 
Logarithmic Functions
Logarithmic FunctionsLogarithmic Functions
Logarithmic Functionsswartzje
 
Exponential functions
Exponential functionsExponential functions
Exponential functionsRon Eick
 
Exponential functions
Exponential functionsExponential functions
Exponential functionsomar_egypt
 
Properties of logarithms
Properties of logarithmsProperties of logarithms
Properties of logarithmsJessica Garcia
 
Exponential Functions
Exponential FunctionsExponential Functions
Exponential Functionsitutor
 

Viewers also liked (20)

Exponential functions
Exponential functionsExponential functions
Exponential functions
 
Hprec5 4
Hprec5 4Hprec5 4
Hprec5 4
 
Tutorials--Exponential Functions in Tabular and Graph Form
Tutorials--Exponential Functions in Tabular and Graph FormTutorials--Exponential Functions in Tabular and Graph Form
Tutorials--Exponential Functions in Tabular and Graph Form
 
Lesson 3.1
Lesson 3.1Lesson 3.1
Lesson 3.1
 
Simple interest
Simple interestSimple interest
Simple interest
 
4.1 exponential functions 2
4.1 exponential functions 24.1 exponential functions 2
4.1 exponential functions 2
 
61 exponential functions
61 exponential functions61 exponential functions
61 exponential functions
 
Indices & logarithm
Indices & logarithmIndices & logarithm
Indices & logarithm
 
Hprec5 5
Hprec5 5Hprec5 5
Hprec5 5
 
The Exponential and natural log functions
The Exponential and natural log functionsThe Exponential and natural log functions
The Exponential and natural log functions
 
Lesson 14: Exponential Functions
Lesson 14: Exponential FunctionsLesson 14: Exponential Functions
Lesson 14: Exponential Functions
 
Simple Interest
Simple InterestSimple Interest
Simple Interest
 
Compound Interest
Compound InterestCompound Interest
Compound Interest
 
Logarithmic Functions
Logarithmic FunctionsLogarithmic Functions
Logarithmic Functions
 
Exponential functions
Exponential functionsExponential functions
Exponential functions
 
Exponential functions
Exponential functionsExponential functions
Exponential functions
 
Properties of logarithms
Properties of logarithmsProperties of logarithms
Properties of logarithms
 
Compound Interest
Compound InterestCompound Interest
Compound Interest
 
Exponential Functions
Exponential FunctionsExponential Functions
Exponential Functions
 
Simple interest
Simple interestSimple interest
Simple interest
 

Similar to 2.2 exponential function and compound interest

6.1 Exponential Functions
6.1 Exponential Functions6.1 Exponential Functions
6.1 Exponential Functionssmiller5
 
4.2 Exponential Functions
4.2 Exponential Functions4.2 Exponential Functions
4.2 Exponential Functionssmiller5
 
maths_formula_sheet.pdf
maths_formula_sheet.pdfmaths_formula_sheet.pdf
maths_formula_sheet.pdfVanhoaTran2
 
4.2 exponential functions and periodic compound interests pina t
4.2 exponential functions and periodic compound interests pina t4.2 exponential functions and periodic compound interests pina t
4.2 exponential functions and periodic compound interests pina tmath260
 
66 calculation with log and exp
66 calculation with log and exp66 calculation with log and exp
66 calculation with log and expmath126
 
8.2 Exploring exponential models
8.2 Exploring exponential models8.2 Exploring exponential models
8.2 Exploring exponential modelsswartzje
 
determinants-160504230830_repaired.pdf
determinants-160504230830_repaired.pdfdeterminants-160504230830_repaired.pdf
determinants-160504230830_repaired.pdfTGBSmile
 
logarithmic, exponential, trigonometric functions and their graphs.ppt
logarithmic, exponential, trigonometric functions and their graphs.pptlogarithmic, exponential, trigonometric functions and their graphs.ppt
logarithmic, exponential, trigonometric functions and their graphs.pptYohannesAndualem1
 
Curve_Fitting.pdf
Curve_Fitting.pdfCurve_Fitting.pdf
Curve_Fitting.pdfIrfan Khan
 
297Source NASA.5.1 Rules for Exponents5.2 Addition.docx
297Source NASA.5.1 Rules for Exponents5.2  Addition.docx297Source NASA.5.1 Rules for Exponents5.2  Addition.docx
297Source NASA.5.1 Rules for Exponents5.2 Addition.docxgilbertkpeters11344
 
01.number systems
01.number systems01.number systems
01.number systemsrasha3
 
Overview Of Using Calculator
Overview Of Using CalculatorOverview Of Using Calculator
Overview Of Using CalculatorFrancescoPozolo1
 

Similar to 2.2 exponential function and compound interest (20)

6.1 Exponential Functions
6.1 Exponential Functions6.1 Exponential Functions
6.1 Exponential Functions
 
Chapter 5
Chapter 5Chapter 5
Chapter 5
 
4.2 Exponential Functions
4.2 Exponential Functions4.2 Exponential Functions
4.2 Exponential Functions
 
maths_formula_sheet.pdf
maths_formula_sheet.pdfmaths_formula_sheet.pdf
maths_formula_sheet.pdf
 
4.2 exponential functions and periodic compound interests pina t
4.2 exponential functions and periodic compound interests pina t4.2 exponential functions and periodic compound interests pina t
4.2 exponential functions and periodic compound interests pina t
 
P7
P7P7
P7
 
66 calculation with log and exp
66 calculation with log and exp66 calculation with log and exp
66 calculation with log and exp
 
Determinants
DeterminantsDeterminants
Determinants
 
8.2 Exploring exponential models
8.2 Exploring exponential models8.2 Exploring exponential models
8.2 Exploring exponential models
 
determinants-160504230830_repaired.pdf
determinants-160504230830_repaired.pdfdeterminants-160504230830_repaired.pdf
determinants-160504230830_repaired.pdf
 
determinants-160504230830.pdf
determinants-160504230830.pdfdeterminants-160504230830.pdf
determinants-160504230830.pdf
 
Number system
Number systemNumber system
Number system
 
Chapter002math
Chapter002mathChapter002math
Chapter002math
 
logarithmic, exponential, trigonometric functions and their graphs.ppt
logarithmic, exponential, trigonometric functions and their graphs.pptlogarithmic, exponential, trigonometric functions and their graphs.ppt
logarithmic, exponential, trigonometric functions and their graphs.ppt
 
Curve_Fitting.pdf
Curve_Fitting.pdfCurve_Fitting.pdf
Curve_Fitting.pdf
 
Takue
TakueTakue
Takue
 
297Source NASA.5.1 Rules for Exponents5.2 Addition.docx
297Source NASA.5.1 Rules for Exponents5.2  Addition.docx297Source NASA.5.1 Rules for Exponents5.2  Addition.docx
297Source NASA.5.1 Rules for Exponents5.2 Addition.docx
 
THE BINOMIAL THEOREM
THE BINOMIAL THEOREM THE BINOMIAL THEOREM
THE BINOMIAL THEOREM
 
01.number systems
01.number systems01.number systems
01.number systems
 
Overview Of Using Calculator
Overview Of Using CalculatorOverview Of Using Calculator
Overview Of Using Calculator
 

More from math123c

123c test 4 review b
123c test  4 review b123c test  4 review b
123c test 4 review bmath123c
 
6 binomial theorem
6 binomial theorem6 binomial theorem
6 binomial theoremmath123c
 
5.5 permutations and combinations
5.5 permutations and combinations5.5 permutations and combinations
5.5 permutations and combinationsmath123c
 
5.4 trees and factorials
5.4 trees and factorials5.4 trees and factorials
5.4 trees and factorialsmath123c
 
5.3 geometric sequences
5.3 geometric sequences5.3 geometric sequences
5.3 geometric sequencesmath123c
 
5.2 arithmetic sequences
5.2 arithmetic sequences5.2 arithmetic sequences
5.2 arithmetic sequencesmath123c
 
5.1 sequences
5.1 sequences5.1 sequences
5.1 sequencesmath123c
 
4.5 matrix notation
4.5 matrix notation4.5 matrix notation
4.5 matrix notationmath123c
 
4.4 system of linear equations 2
4.4 system of linear equations 24.4 system of linear equations 2
4.4 system of linear equations 2math123c
 
4.3 system of linear equations 1
4.3 system of linear equations 14.3 system of linear equations 1
4.3 system of linear equations 1math123c
 
4.2 stem parabolas revisited
4.2 stem parabolas revisited4.2 stem parabolas revisited
4.2 stem parabolas revisitedmath123c
 
4.1 stem hyperbolas
4.1 stem hyperbolas4.1 stem hyperbolas
4.1 stem hyperbolasmath123c
 
3.4 ellipses
3.4 ellipses3.4 ellipses
3.4 ellipsesmath123c
 
3.3 conic sections circles
3.3 conic sections circles3.3 conic sections circles
3.3 conic sections circlesmath123c
 
3.1 properties of logarithm
3.1 properties of logarithm3.1 properties of logarithm
3.1 properties of logarithmmath123c
 
2.4 introduction to logarithm
2.4 introduction to logarithm2.4 introduction to logarithm
2.4 introduction to logarithmmath123c
 
2.3 continuous compound interests
2.3 continuous compound interests2.3 continuous compound interests
2.3 continuous compound interestsmath123c
 
1.7 power equations and calculator inputs
1.7 power equations and calculator inputs1.7 power equations and calculator inputs
1.7 power equations and calculator inputsmath123c
 
1.6 inverse function (optional)
1.6 inverse function (optional)1.6 inverse function (optional)
1.6 inverse function (optional)math123c
 
1.5 notation and algebra of functions
1.5 notation and algebra of functions1.5 notation and algebra of functions
1.5 notation and algebra of functionsmath123c
 

More from math123c (20)

123c test 4 review b
123c test  4 review b123c test  4 review b
123c test 4 review b
 
6 binomial theorem
6 binomial theorem6 binomial theorem
6 binomial theorem
 
5.5 permutations and combinations
5.5 permutations and combinations5.5 permutations and combinations
5.5 permutations and combinations
 
5.4 trees and factorials
5.4 trees and factorials5.4 trees and factorials
5.4 trees and factorials
 
5.3 geometric sequences
5.3 geometric sequences5.3 geometric sequences
5.3 geometric sequences
 
5.2 arithmetic sequences
5.2 arithmetic sequences5.2 arithmetic sequences
5.2 arithmetic sequences
 
5.1 sequences
5.1 sequences5.1 sequences
5.1 sequences
 
4.5 matrix notation
4.5 matrix notation4.5 matrix notation
4.5 matrix notation
 
4.4 system of linear equations 2
4.4 system of linear equations 24.4 system of linear equations 2
4.4 system of linear equations 2
 
4.3 system of linear equations 1
4.3 system of linear equations 14.3 system of linear equations 1
4.3 system of linear equations 1
 
4.2 stem parabolas revisited
4.2 stem parabolas revisited4.2 stem parabolas revisited
4.2 stem parabolas revisited
 
4.1 stem hyperbolas
4.1 stem hyperbolas4.1 stem hyperbolas
4.1 stem hyperbolas
 
3.4 ellipses
3.4 ellipses3.4 ellipses
3.4 ellipses
 
3.3 conic sections circles
3.3 conic sections circles3.3 conic sections circles
3.3 conic sections circles
 
3.1 properties of logarithm
3.1 properties of logarithm3.1 properties of logarithm
3.1 properties of logarithm
 
2.4 introduction to logarithm
2.4 introduction to logarithm2.4 introduction to logarithm
2.4 introduction to logarithm
 
2.3 continuous compound interests
2.3 continuous compound interests2.3 continuous compound interests
2.3 continuous compound interests
 
1.7 power equations and calculator inputs
1.7 power equations and calculator inputs1.7 power equations and calculator inputs
1.7 power equations and calculator inputs
 
1.6 inverse function (optional)
1.6 inverse function (optional)1.6 inverse function (optional)
1.6 inverse function (optional)
 
1.5 notation and algebra of functions
1.5 notation and algebra of functions1.5 notation and algebra of functions
1.5 notation and algebra of functions
 

Recently uploaded

2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsRoshan Dwivedi
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...gurkirankumar98700
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024The Digital Insurer
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Paola De la Torre
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 

Recently uploaded (20)

2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 

2.2 exponential function and compound interest

  • 2. The Exponential Functions The meaning positive integral exponents such as x2 is clear.
  • 3. b0 = 1 b–K = b = ( b ) b = ( ) K N K N bK 1 K N  b 1 The Exponential Functions K N The meaning positive integral exponents such as x2 is clear. Below are the rules for other special exponents:
  • 4. b0 = 1 b–K = b = ( b ) b = ( ) K N K N bK 1 K N  b 1 Example A. 80 = 8 = The Exponential Functions K N 3 2 3 2 8 –2 = 8 = The meaning positive integral exponents such as x2 is clear. Below are the rules for other special exponents:
  • 5. b0 = 1 b–K = b = ( b ) b = ( ) K N K N bK 1 K N  b 1 Example A. 80 = 1 8 = The Exponential Functions K N 3 2 3 2 8 –2 = 8 = The meaning positive integral exponents such as x2 is clear. Below are the rules for other special exponents:
  • 6. b0 = 1 b–K = b = ( b ) b = ( ) K N K N bK 1 K N  b 1 Example A. 80 = 1 8 = 82 1 64 1 The Exponential Functions K N 3 2 3 2 8 –2 = = 8 = The meaning positive integral exponents such as x2 is clear. Below are the rules for other special exponents:
  • 7. b0 = 1 b–K = b = ( b ) b = ( ) K N K N bK 1 K N  b 1 Example A. 80 = 1 8 = (  8 ) = 4 3 2 82 1 64 1 The Exponential Functions K N 3 2 3 2 8 –2 = = 8 = The meaning positive integral exponents such as x2 is clear. Below are the rules for other special exponents:
  • 8. b0 = 1 b–K = b = ( b ) b = ( ) K N K N bK 1 K N  b 1 Example A. 80 = 1 8 = (  8 ) = 4 3 2 82 1 3 2  8 1 64 1 The Exponential Functions K N 3 2 3 2 8 –2 = = 8 = ( ) = 1/4 The meaning positive integral exponents such as x2 is clear. Below are the rules for other special exponents:
  • 9. b0 = 1 b–K = b = ( b ) b = ( ) K N K N bK 1 K N  b 1 Example A. 80 = 1 8 = (  8 ) = 4 3 2 82 1 3 2  8 1 64 1 The Exponential Functions K N 3 2 3 2 Decimal exponents are well defined since decimals may be represented as reduced fractions. 8 –2 = = 8 = ( ) = 1/4 The meaning positive integral exponents such as x2 is clear. Below are the rules for other special exponents:
  • 10. b0 = 1 b–K = b = ( b ) b = ( ) K N K N bK 1 K N  b 1 Example A. 80 = 1 8 = (  8 ) = 4 3 2 82 1 3 2  8 1 64 1 The Exponential Functions K N 3 2 3 2 Decimal exponents are well defined since decimals may be represented as reduced fractions. b. 101.22 = 8 –2 = = 8 = ( ) = 1/4 Example B. a. 91.50 = The meaning positive integral exponents such as x2 is clear. Below are the rules for other special exponents:
  • 11. b0 = 1 b–K = b = ( b ) b = ( ) K N K N bK 1 K N  b 1 Example A. 80 = 1 8 = (  8 ) = 4 3 2 82 1 3 2  8 1 64 1 The Exponential Functions K N 3 2 3 2 Decimal exponents are well defined since decimals may be represented as reduced fractions. b. 101.22 = 8 –2 = = 8 = ( ) = 1/4 Example B. a. 91.50 = 9 = 3 2 The meaning positive integral exponents such as x2 is clear. Below are the rules for other special exponents:
  • 12. b0 = 1 b–K = b = ( b ) b = ( ) K N K N bK 1 K N  b 1 Example A. 80 = 1 8 = (  8 ) = 4 3 2 82 1 3 2  8 1 64 1 The Exponential Functions K N 3 2 3 2 Decimal exponents are well defined since decimals may be represented as reduced fractions. b. 101.22 = 8 –2 = = 8 = ( ) = 1/4 Example B. a. 91.50 = 9 = (9 ) = 27 3 2 3 The meaning positive integral exponents such as x2 is clear. Below are the rules for other special exponents:
  • 13. b0 = 1 b–K = b = ( b ) b = ( ) K N K N bK 1 K N  b 1 Example A. 80 = 1 8 = (  8 ) = 4 3 2 82 1 3 2  8 1 64 1 The Exponential Functions K N 3 2 3 2 Decimal exponents are well defined since decimals may be represented as reduced fractions. b. 101.22 = 10 61 50 8 –2 = = 8 = ( ) = 1/4 Example B. a. 91.50 = 9 = (9 ) = 27 3 2 3 The meaning positive integral exponents such as x2 is clear. Below are the rules for other special exponents:
  • 14. b0 = 1 b–K = b = ( b ) b = ( ) K N K N bK 1 K N  b 1 Example A. 80 = 1 8 = (  8 ) = 4 3 2 82 1 3 2  8 1 64 1 The Exponential Functions K N 3 2 3 2 Decimal exponents are well defined since decimals may be represented as reduced fractions. b. 101.22 = 10 = ( 10 )  16.59586…. 61 50 50 61 8 –2 = = 8 = ( ) = 1/4 Example B. a. 91.50 = 9 = (9 ) = 27 3 2 3 The meaning positive integral exponents such as x2 is clear. Below are the rules for other special exponents:
  • 15. For a real-number-exponent such as , we approximate the real number with fractions then use the fractional powers to approximate the result.   3.14159.. 10  Example C. The Exponential Functions
  • 16. For a real-number-exponent such as , we approximate the real number with fractions then use the fractional powers to approximate the result.   3.14159.. 3.1 3.14 3.141 3.1415 10  Example C.  The Exponential Functions
  • 17. For a real-number-exponent such as , we approximate the real number with fractions then use the fractional powers to approximate the result.   3.14159.. 3.1 3.14 3.141 3.1415 10  10 Example C. 31 10  The Exponential Functions ≈1258.9..
  • 18. For a real-number-exponent such as , we approximate the real number with fractions then use the fractional powers to approximate the result.   3.14159.. 3.1 3.14 3.141 3.1415 10  10 10 Example C. 31 10 314 100  The Exponential Functions ≈1258.9.. ≈1380.3..
  • 19. For a real-number-exponent such as , we approximate the real number with fractions then use the fractional powers to approximate the result.   3.14159.. 3.1 3.14 3.141 3.1415 10  10 10 10 10 Example C. 31 10 314 100 3141 1000 31415 10000  The Exponential Functions ≈1258.9.. ≈1380.3.. ≈1383.5.. ≈1385.1..
  • 20. For a real-number-exponent such as , we approximate the real number with fractions then use the fractional powers to approximate the result.   3.14159.. 3.1 3.14 3.141 3.1415 10  10 10 10 10 10≈1385.45.. Example C. 31 10 314 100 3141 1000 31415 10000  The Exponential Functions ≈1258.9.. ≈1380.3.. ≈1383.5.. ≈1385.1..
  • 21. For a real-number-exponent such as , we approximate the real number with fractions then use the fractional powers to approximate the result.   3.14159.. 3.1 3.14 3.141 3.1415 10  10 10 10 10 10≈1385.45.. Example C. 31 10 314 100 3141 1000 31415 10000  The Exponential Functions Hence exponential functions or functions of the form f(x) = bx (b > 0 and b  1) are defined for all real numbers x. ≈1258.9.. ≈1380.3.. ≈1383.5.. ≈1385.1..
  • 22. For a real-number-exponent such as , we approximate the real number with fractions then use the fractional powers to approximate the result.   3.14159.. 3.1 3.14 3.141 3.1415 10  10 10 10 10 10≈1385.45.. Example C. 31 10 314 100 3141 1000 31415 10000  The Exponential Functions Hence exponential functions or functions of the form f(x) = bx (b > 0 and b  1) are defined for all real numbers x. ≈1258.9.. ≈1380.3.. ≈1383.5.. ≈1385.1.. Exponential functions show up in finance, bio science, computer science and physical sciences.
  • 23. For a real-number-exponent such as , we approximate the real number with fractions then use the fractional powers to approximate the result.   3.14159.. 3.1 3.14 3.141 3.1415 10  10 10 10 10 10≈1385.45.. Example C. 31 10 314 100 3141 1000 31415 10000  The Exponential Functions Hence exponential functions or functions of the form f(x) = bx (b > 0 and b  1) are defined for all real numbers x. ≈1258.9.. ≈1380.3.. ≈1383.5.. ≈1385.1.. Exponential functions show up in finance, bio science, computer science and physical sciences. The most used exponential functions are y = 10x, y = ex and y = 2x.
  • 24. For a real-number-exponent such as , we approximate the real number with fractions then use the fractional powers to approximate the result.   3.14159.. 3.1 3.14 3.141 3.1415 10  10 10 10 10 10≈1385.45.. Example C. 31 10 314 100 3141 1000 31415 10000  The Exponential Functions Hence exponential functions or functions of the form f(x) = bx (b > 0 and b  1) are defined for all real numbers x. ≈1258.9.. ≈1380.3.. ≈1383.5.. ≈1385.1.. Exponential functions show up in finance, bio science, computer science and physical sciences. The most used exponential functions are y = 10x, y = ex and y = 2x. Let’s use $ growth as applications below.
  • 25. Example D. We deposit $1,000 in an account that gives 1% interest compounded monthly. How much money is there after 1 month? 2 months? 3 months? and after 4 months? Compound Interest
  • 26. Example D. We deposit $1,000 in an account that gives 1% interest compounded monthly. How much money is there after 1 month? 2 months? 3 months? and after 4 months? Compound Interest Let P = principal, i = (periodic) interest rate, A = accumulation. After 1 period A = P(1 + i)
  • 27. Example D. We deposit $1,000 in an account that gives 1% interest compounded monthly. How much money is there after 1 month? 2 months? 3 months? and after 4 months? After 1 month: 1000(1 + 0.01) = $1010. Compound Interest Let P = principal, i = (periodic) interest rate, A = accumulation. After 1 period A = P(1 + i)
  • 28. Example D. We deposit $1,000 in an account that gives 1% interest compounded monthly. How much money is there after 1 month? 2 months? 3 months? and after 4 months? After 1 month: 1000(1 + 0.01) = $1010. After 2 months: 1010(1 + 0.01) Compound Interest Let P = principal, i = (periodic) interest rate, A = accumulation. After 1 period A = P(1 + i)
  • 29. Example D. We deposit $1,000 in an account that gives 1% interest compounded monthly. How much money is there after 1 month? 2 months? 3 months? and after 4 months? After 1 month: 1000(1 + 0.01) = $1010. After 2 months: 1010(1 + 0.01) = 1000(1 + 0.01)(1 + 0.01) Compound Interest Let P = principal, i = (periodic) interest rate, A = accumulation. After 1 period A = P(1 + i)
  • 30. Example D. We deposit $1,000 in an account that gives 1% interest compounded monthly. How much money is there after 1 month? 2 months? 3 months? and after 4 months? After 1 month: 1000(1 + 0.01) = $1010. After 2 months: 1010(1 + 0.01) = 1000(1 + 0.01)(1 + 0.01) = 1000(1 + 0.01)2 = $1020.10 Compound Interest Let P = principal, i = (periodic) interest rate, A = accumulation. After 1 period A = P(1 + i)
  • 31. Example D. We deposit $1,000 in an account that gives 1% interest compounded monthly. How much money is there after 1 month? 2 months? 3 months? and after 4 months? After 1 month: 1000(1 + 0.01) = $1010. After 2 months: 1010(1 + 0.01) = 1000(1 + 0.01)(1 + 0.01) = 1000(1 + 0.01)2 = $1020.10 Compound Interest Let P = principal, i = (periodic) interest rate, A = accumulation. After 1 period A = P(1 + i) After 2 periods A = P(1 + i)(1 + i) = P(1 + i)2
  • 32. Example D. We deposit $1,000 in an account that gives 1% interest compounded monthly. How much money is there after 1 month? 2 months? 3 months? and after 4 months? After 1 month: 1000(1 + 0.01) = $1010. After 2 months: 1010(1 + 0.01) = 1000(1 + 0.01)(1 + 0.01) = 1000(1 + 0.01)2 = $1020.10 After 3 months: 1020.10(1 + 0.01) = 1000(1 + 0.01)2(1 + 0.01) = 1000(1 + 0.01)3 = $1030.30 Compound Interest Let P = principal, i = (periodic) interest rate, A = accumulation. After 1 period A = P(1 + i) After 2 periods A = P(1 + i)(1 + i) = P(1 + i)2
  • 33. Example D. We deposit $1,000 in an account that gives 1% interest compounded monthly. How much money is there after 1 month? 2 months? 3 months? and after 4 months? After 1 month: 1000(1 + 0.01) = $1010. After 2 months: 1010(1 + 0.01) = 1000(1 + 0.01)(1 + 0.01) = 1000(1 + 0.01)2 = $1020.10 After 3 months: 1020.10(1 + 0.01) = 1000(1 + 0.01)2(1 + 0.01) = 1000(1 + 0.01)3 = $1030.30 Compound Interest Let P = principal, i = (periodic) interest rate, A = accumulation. After 1 period A = P(1 + i) After 2 periods A = P(1 + i)(1 + i) = P(1 + i)2 After 3 periods A = P(1 + i)2(1 + i) = P(1 + i)3
  • 34. Example D. We deposit $1,000 in an account that gives 1% interest compounded monthly. How much money is there after 1 month? 2 months? 3 months? and after 4 months? After 1 month: 1000(1 + 0.01) = $1010. After 2 months: 1010(1 + 0.01) = 1000(1 + 0.01)(1 + 0.01) = 1000(1 + 0.01)2 = $1020.10 After 3 months: 1020.10(1 + 0.01) = 1000(1 + 0.01)2(1 + 0.01) = 1000(1 + 0.01)3 = $1030.30 After 4 months: 1030.30(1 + 0.01) = 1000(1 + 0.01)3(1 + 0.01) = 1000(1 + 0.01)4 = $1040.60 Compound Interest Let P = principal, i = (periodic) interest rate, A = accumulation. After 1 period A = P(1 + i) After 2 periods A = P(1 + i)(1 + i) = P(1 + i)2 After 3 periods A = P(1 + i)2(1 + i) = P(1 + i)3
  • 35. Example D. We deposit $1,000 in an account that gives 1% interest compounded monthly. How much money is there after 1 month? 2 months? 3 months? and after 4 months? After 1 month: 1000(1 + 0.01) = $1010. After 2 months: 1010(1 + 0.01) = 1000(1 + 0.01)(1 + 0.01) = 1000(1 + 0.01)2 = $1020.10 After 3 months: 1020.10(1 + 0.01) = 1000(1 + 0.01)2(1 + 0.01) = 1000(1 + 0.01)3 = $1030.30 After 4 months: 1030.30(1 + 0.01) = 1000(1 + 0.01)3(1 + 0.01) = 1000(1 + 0.01)4 = $1040.60 Compound Interest Let P = principal, i = (periodic) interest rate, A = accumulation. After 1 period A = P(1 + i) After 2 periods A = P(1 + i)(1 + i) = P(1 + i)2 After 3 periods A = P(1 + i)2(1 + i) = P(1 + i)3 Continue the pattern, after N periods, we obtain the exponential periodic-compound formula (PINA): P(1 + i)N = A.
  • 36. Compound Interest Let P = principal i = (periodic) interest rate, N = number of periods A = accumulation The PINA Formula (Periodic Interest)
  • 37. Compound Interest Let P = principal i = (periodic) interest rate, N = number of periods A = accumulation then P(1 + i) N = A The PINA Formula (Periodic Interest)
  • 38. Compound Interest Let P = principal i = (periodic) interest rate, N = number of periods A = accumulation then P(1 + i) N = A The PINA Formula (Periodic Interest) We use the following time line to see what is happening. 0 1 2 3 Nth periodN–1
  • 39. Compound Interest Let P = principal i = (periodic) interest rate, N = number of periods A = accumulation then P(1 + i) N = A The PINA Formula (Periodic Interest) We use the following time line to see what is happening. P 0 1 2 3 Nth periodN–1 Rule: Multiply (1 + i) each period forward
  • 40. Compound Interest Let P = principal i = (periodic) interest rate, N = number of periods A = accumulation then P(1 + i) N = A The PINA Formula (Periodic Interest) We use the following time line to see what is happening. P 0 1 2 3 Nth periodN–1 Rule: Multiply (1 + i) each period forward P(1 + i)
  • 41. Compound Interest Let P = principal i = (periodic) interest rate, N = number of periods A = accumulation then P(1 + i) N = A The PINA Formula (Periodic Interest) We use the following time line to see what is happening. P 0 1 2 3 Nth periodN–1 Rule: Multiply (1 + i) each period forward P(1 + i) P(1 + i) 2
  • 42. Compound Interest Let P = principal i = (periodic) interest rate, N = number of periods A = accumulation then P(1 + i) N = A The PINA Formula (Periodic Interest) We use the following time line to see what is happening. P 0 1 2 3 Nth periodN–1 Rule: Multiply (1 + i) each period forward P(1 + i) P(1 + i) 2 P(1 + i) 3
  • 43. Compound Interest Let P = principal i = (periodic) interest rate, N = number of periods A = accumulation then P(1 + i) N = A The PINA Formula (Periodic Interest) We use the following time line to see what is happening. P 0 1 2 3 Nth periodN–1 Rule: Multiply (1 + i) each period forward P(1 + i) P(1 + i) 2 P(1 + i) 3 P(1 + i) N - 1
  • 44. Compound Interest Let P = principal i = (periodic) interest rate, N = number of periods A = accumulation then P(1 + i) N = A The PINA Formula (Periodic Interest) We use the following time line to see what is happening. P 0 1 2 3 Nth periodN–1 Rule: Multiply (1 + i) each period forward P(1 + i) P(1 + i) 2 P(1 + i) 3 P(1 + i) N - 1 P(1 + i) N
  • 45. Compound Interest Let P = principal i = (periodic) interest rate, N = number of periods A = accumulation then P(1 + i) N = A The PINA Formula (Periodic Interest) We use the following time line to see what is happening. P 0 1 2 3 Nth periodN–1 Rule: Multiply (1 + i) each period forward P(1 + i) P(1 + i) 2 P(1 + i) 3 P(1 + i) N - 1 P(1 + i) N Example E. $1,000 is in an account that has a monthly interest rate of 1%. How much will be there after 60 years?
  • 46. Compound Interest Let P = principal i = (periodic) interest rate, N = number of periods A = accumulation then P(1 + i) N = A The PINA Formula (Periodic Interest) We use the following time line to see what is happening. P 0 1 2 3 Nth periodN–1 Rule: Multiply (1 + i) each period forward P(1 + i) P(1 + i) 2 P(1 + i) 3 P(1 + i) N - 1 P(1 + i) N Example E. $1,000 is in an account that has a monthly interest rate of 1%. How much will be there after 60 years? We have P = $1,000, i = 1% = 0.01, N =
  • 47. Compound Interest Let P = principal i = (periodic) interest rate, N = number of periods A = accumulation then P(1 + i) N = A The PINA Formula (Periodic Interest) We use the following time line to see what is happening. P 0 1 2 3 Nth periodN–1 Rule: Multiply (1 + i) each period forward P(1 + i) P(1 + i) 2 P(1 + i) 3 P(1 + i) N - 1 P(1 + i) N Example E. $1,000 is in an account that has a monthly interest rate of 1%. How much will be there after 60 years? We have P = $1,000, i = 1% = 0.01, N = 60 *12 = 720 months
  • 48. Compound Interest Let P = principal i = (periodic) interest rate, N = number of periods A = accumulation then P(1 + i) N = A The PINA Formula (Periodic Interest) We use the following time line to see what is happening. P 0 1 2 3 Nth periodN–1 Rule: Multiply (1 + i) each period forward P(1 + i) P(1 + i) 2 P(1 + i) 3 P(1 + i) N - 1 P(1 + i) N Example E. $1,000 is in an account that has a monthly interest rate of 1%. How much will be there after 60 years? We have P = $1,000, i = 1% = 0.01, N = 60 *12 = 720 months so by PINA, there will be 1000(1 + 0.01) 720
  • 49. Compound Interest Let P = principal i = (periodic) interest rate, N = number of periods A = accumulation then P(1 + i) N = A The PINA Formula (Periodic Interest) We use the following time line to see what is happening. P 0 1 2 3 Nth periodN–1 Rule: Multiply (1 + i) each period forward P(1 + i) P(1 + i) 2 P(1 + i) 3 P(1 + i) N - 1 P(1 + i) N Example E. $1,000 is in an account that has a monthly interest rate of 1%. How much will be there after 60 years? We have P = $1,000, i = 1% = 0.01, N = 60 *12 = 720 months so by PINA, there will be 1000(1 + 0.01) 720 = $1,292,376.71 after 60 years.
  • 50. Compound Interest In practice, compound interests are usually quoted in annual interest rate r and the frequency f, the number of times of compounding in one year, so the periodic rate i = . r f
  • 51. Example F. We open an account with annual rate r = 9%, compounded monthly, i.e. 12 times a year. Compound Interest In practice, compound interests are usually quoted in annual interest rate r and the frequency f, the number of times of compounding in one year, so the periodic rate i = . r f
  • 52. Example F. We open an account with annual rate r = 9%, compounded monthly, i.e. 12 times a year. We have r = 9% = 0.09 for one year, and f = 12 is the number of times of compounding in one year, Compound Interest In practice, compound interests are usually quoted in annual interest rate r and the frequency f, the number of times of compounding in one year, so the periodic rate i = . r f
  • 53. Example F. We open an account with annual rate r = 9%, compounded monthly, i.e. 12 times a year. We have r = 9% = 0.09 for one year, and f = 12 is the number of times of compounding in one year, so the periodic or monthly rate i = 0.09/12. Compound Interest In practice, compound interests are usually quoted in annual interest rate r and the frequency f, the number of times of compounding in one year, so the periodic rate i = . r f
  • 54. Example F. We open an account with annual rate r = 9%, compounded monthly, i.e. 12 times a year. After 40 years the total return is $250,000, what was the initial principal? We have r = 9% = 0.09 for one year, and f = 12 is the number of times of compounding in one year, so the periodic or monthly rate i = 0.09/12. Compound Interest In practice, compound interests are usually quoted in annual interest rate r and the frequency f, the number of times of compounding in one year, so the periodic rate i = . r f
  • 55. Example F. We open an account with annual rate r = 9%, compounded monthly, i.e. 12 times a year. After 40 years the total return is $250,000, what was the initial principal? We have r = 9% = 0.09 for one year, and f = 12 is the number of times of compounding in one year, so the periodic or monthly rate i = 0.09/12. After 40 years, i.e. N = 40(12) = 480 months the return A = 250,000 Compound Interest In practice, compound interests are usually quoted in annual interest rate r and the frequency f, the number of times of compounding in one year, so the periodic rate i = . r f
  • 56. Example F. We open an account with annual rate r = 9%, compounded monthly, i.e. 12 times a year. After 40 years the total return is $250,000, what was the initial principal? We have r = 9% = 0.09 for one year, and f = 12 is the number of times of compounding in one year, so the periodic or monthly rate i = 0.09/12. After 40 years, i.e. N = 40(12) = 480 months the return A = 250,000, so by PINA: Compound Interest P (1 + ) 480 = 250,0000.09 12 In practice, compound interests are usually quoted in annual interest rate r and the frequency f, the number of times of compounding in one year, so the periodic rate i = . r f
  • 57. Example F. We open an account with annual rate r = 9%, compounded monthly, i.e. 12 times a year. After 40 years the total return is $250,000, what was the initial principal? We have r = 9% = 0.09 for one year, and f = 12 is the number of times of compounding in one year, so the periodic or monthly rate i = 0.09/12. After 40 years, i.e. N = 40(12) = 480 months the return A = 250,000, so by PINA: Compound Interest P (1 + ) 480 = 250,0000.09 12 or (1 + ) 480 P = 250,000 0.09 12 In practice, compound interests are usually quoted in annual interest rate r and the frequency f, the number of times of compounding in one year, so the periodic rate i = . r f
  • 58. Example F. We open an account with annual rate r = 9%, compounded monthly, i.e. 12 times a year. After 40 years the total return is $250,000, what was the initial principal? We have r = 9% = 0.09 for one year, and f = 12 is the number of times of compounding in one year, so the periodic or monthly rate i = 0.09/12. After 40 years, i.e. N = 40(12) = 480 months the return A = 250,000, so by PINA: Compound Interest P (1 + ) 480 = 250,0000.09 12 or (1 + ) 480 P = 250,000 0.09 12 P = $6,923.31 by calculator Hence the initial deposit is $6,923.31. In practice, compound interests are usually quoted in annual interest rate r and the frequency f, the number of times of compounding in one year, so the periodic rate i = . r f
  • 59. x -4 -3 -2 -1 0 1 2 3 4 y=2x 1/16 1/8 1/4 1/2 1 2 4 8 16 Graphs of the Exponential Functions Here is a table of y = 2x for plotting its graph.
  • 60. (0,1) (1,2) (2,4) (3,8) (-1,1/2)(-2,1/4) y=2x Graph of y = 2x x -4 -3 -2 -1 0 1 2 3 4 y=2x 1/16 1/8 1/4 1/2 1 2 4 8 16 Graphs of the Exponential Functions Here is a table of y = 2x for plotting its graph.
  • 61. (0,1) (1,2) (2,4) (3,8) (-1,1/2)(-2,1/4) y=2x Graph of y = 2x x -4 -3 -2 -1 0 1 2 3 4 y=2x 1/16 1/8 1/4 1/2 1 2 4 8 16 Graphs of the Exponential Functions Graph of y = bx where b>1 Here is a table of y = 2x for plotting its graph. This is the shape of the graphs of y = bx for b > 1.
  • 62. x -4 -3 -2 -1 0 1 2 3 4 y=(½)x 16 8 4 2 1 1/2 1/4 1/8 1/16 Here is a table of y = (½)x for plotting its graph. Graphs of the Exponential Functions
  • 63. (0,1) (-1,2) (-2,4) (-3,8) (1,1/2) (2,1/4) y= (½)x Graph of y = (½)x x -4 -3 -2 -1 0 1 2 3 4 y=(½)x 16 8 4 2 1 1/2 1/4 1/8 1/16 Here is a table of y = (½)x for plotting its graph. Graphs of the Exponential Functions
  • 64. (0,1) (-1,2) (-2,4) (-3,8) (1,1/2) (2,1/4) y= (½)x Graph of y = bx where 0<b<1Graph of y = (½)x x -4 -3 -2 -1 0 1 2 3 4 y=(½)x 16 8 4 2 1 1/2 1/4 1/8 1/16 Here is a table of y = (½)x for plotting its graph. Graphs of the Exponential Functions This is the shape of the graphs of y = bx for b < 1.
  • 65. The graphs shown here are the different returns with r = 20% with different compounding frequencies. Compounded return on $1,000 with annual interest rate r = 20% (Wikipedia) Compound Interest
  • 66. The graphs shown here are the different returns with r = 20% with different compounding frequencies. We observe that I. the more frequently we compound, the bigger the return Compounded return on $1,000 with annual interest rate r = 20% (Wikipedia) Compound Interest
  • 67. The graphs shown here are the different returns with r = 20% with different compounding frequencies. We observe that I. the more frequently we compound, the bigger the return II. but the returns do not go above the blue-line the continuous compound return, which is the next topic. Compounded return on $1,000 with annual interest rate r = 20% (Wikipedia) Compound Interest
  • 68. Compound Interest B. Given the monthly compounded periodic rate i, find the principal needed to obtain a return of $1,000 after the given amount the time. 1. i = 1%, time = 60 months. Exercise A. Given the monthly compounded periodic rate i and the amount of time, find the return with a principal of $1,000. 2. i = 1%, time = 60 years. 3. i = ½ %, time = 60 years 4. i = ½ %, time = 60 months. 5. i = 1¼ %, time = 6 months. 6. i = 1¼ %, time = 5½ years. .7. i = 3/8%, time = 52 months. 8. i = 2/3%, time = 27 months. 1. i = 1%, time = 60 months. 2. i = 1%, time = 60 years. 3. i = ½ %, time = 60 years 4. i = ½ %, time = 60 months. 5. i = 1¼ %, time = 60 months. 6. i = 1¼ %, time = 60 years. 7. i = 3/8%, time = 60 years 8. i = 2/3%, time = 60 months.
  • 69. Compound Interest D. Given the annual rate r, convert it into the monthly compounded periodic rate i and find the principal needed to obtain $1,000 after the given amount the time. 1. r = 1%, time = 60 months. C. Given the annual rate r, convert it into the monthly compounded periodic rate i and find the return with a principal of $1,000 after the given amount of time. 2. r = 1%, time = 60 years. 3. r = 3 %, time = 60 years 4. r = 3½ %, time = 60 months. 1. r = 1%, time = 60 months. 2. r = 1%, time = 60 years. 3. r = 3 %, time = 60 years 4. r = 3½ %, time = 60 months. 5. r = 1¼ %, time = 6 months. 6. r = 1¼ %, time = 5½ years. .7. r = 3/8%, time = 52 months. 8. r = 2/3%, time = 27 months. 5. r = 1¼ %, time = 6 months. 6. r = 1¼ %, time = 5½ years. .7. r = 3/8%, time = 52 months. 8. r = 2/3%, time = 27 months.