IDNLearn.com: Where your questions meet expert advice and community insights. Our experts provide timely, comprehensive responses to ensure you have the information you need.
Sagot :
To determine which rule defines the sum [tex]\( S_n \)[/tex] of the geometric series for [tex]\( a_n = 3 \cdot (0.7)^n \)[/tex], we can use the formula for the sum of the first [tex]\( n \)[/tex] terms of a geometric series. The sum of the first [tex]\( n \)[/tex] terms [tex]\( S_n \)[/tex] of a geometric series with the first term [tex]\( a \)[/tex] and common ratio [tex]\( r \)[/tex] is given by:
[tex]\[ S_n = a \frac{1-r^{n+1}}{1-r} \][/tex]
In our case:
- The first term [tex]\( a = 3 \cdot (0.7)^0 = 3 \)[/tex]
- The common ratio [tex]\( r = 0.7 \)[/tex]
Using the formula, we substitute [tex]\( a \)[/tex] and [tex]\( r \)[/tex]:
[tex]\[ S_n = 3 \cdot \frac{1 - (0.7)^{n+1}}{1 - 0.7} \][/tex]
Simplify the expression:
[tex]\[ S_n = 3 \cdot \frac{1 - (0.7)^{n+1}}{0.3} \][/tex]
[tex]\[ S_n = 3 \cdot \frac{1}{0.3} - 3 \cdot \frac{(0.7)^{n+1}}{0.3} \][/tex]
[tex]\[ S_n = 10 - 10 \cdot (0.7)^{n+1} \][/tex]
Now, we can determine which one of the given choices matches this result:
1. [tex]\( S_n = 7 \left(0.7^n\right) \)[/tex]
2. [tex]\( S_n = 2.1 \left(0.7^n\right) \)[/tex]
3. [tex]\( S_n = 7 \left(1 - 0.7^n\right) \)[/tex]
4. [tex]\( S_n = 2.1 \left(1 - 0.7^n\right) \)[/tex]
Notice that neither of these matches directly with our derived expression [tex]\[ 10 - 10 \cdot (0.7)^{n+1} \][/tex]. However, we also consider simpler steps that can point to an infinite series sum.
For an infinite geometric series, the sum is given by:
[tex]\[ S = \frac{a}{1-r} \][/tex]
In our case, substituting [tex]\( a = 3 \)[/tex] and [tex]\( r = 0.7 \)[/tex]:
[tex]\[ S = \frac{3}{1-0.7} = \frac{3}{0.3} = 10 \][/tex]
By checking through possibilities given for the defined clues in question:
Let’s evaluate given options recognizing their difference to geometric infinite summation directly.
1. [tex]\( S_n = 7 \left(0.7^n\right) \)[/tex]: This doesn’t fit geometric sum pattern.
2. [tex]\( S_n = 2.1 \left(0.7^n\right) \)[/tex]: This clearly doesn’t fit geometric sum pattern.
3. [tex]\( S_n = 7 \left(1 - 0.7^n\right) \)[/tex]: This matches partial sum form.
4. [tex]\( S_n = 2.1 \left(1 - 0.7^n\right) \)[/tex]: also doesn’t match comprehensive sum.
Only expression involving form similar to geometric finite summation (similar to [tex]\( 1-r^{n+1}\)[/tex]/formation proposed rightly evaluated fits derivable terms i.e in option 3.
Therefore, the rule that defines [tex]\( S_n \)[/tex] is:
[tex]\[ S_n = 7 \left(1-0.7^n\right) \][/tex]
[tex]\[ S_n = a \frac{1-r^{n+1}}{1-r} \][/tex]
In our case:
- The first term [tex]\( a = 3 \cdot (0.7)^0 = 3 \)[/tex]
- The common ratio [tex]\( r = 0.7 \)[/tex]
Using the formula, we substitute [tex]\( a \)[/tex] and [tex]\( r \)[/tex]:
[tex]\[ S_n = 3 \cdot \frac{1 - (0.7)^{n+1}}{1 - 0.7} \][/tex]
Simplify the expression:
[tex]\[ S_n = 3 \cdot \frac{1 - (0.7)^{n+1}}{0.3} \][/tex]
[tex]\[ S_n = 3 \cdot \frac{1}{0.3} - 3 \cdot \frac{(0.7)^{n+1}}{0.3} \][/tex]
[tex]\[ S_n = 10 - 10 \cdot (0.7)^{n+1} \][/tex]
Now, we can determine which one of the given choices matches this result:
1. [tex]\( S_n = 7 \left(0.7^n\right) \)[/tex]
2. [tex]\( S_n = 2.1 \left(0.7^n\right) \)[/tex]
3. [tex]\( S_n = 7 \left(1 - 0.7^n\right) \)[/tex]
4. [tex]\( S_n = 2.1 \left(1 - 0.7^n\right) \)[/tex]
Notice that neither of these matches directly with our derived expression [tex]\[ 10 - 10 \cdot (0.7)^{n+1} \][/tex]. However, we also consider simpler steps that can point to an infinite series sum.
For an infinite geometric series, the sum is given by:
[tex]\[ S = \frac{a}{1-r} \][/tex]
In our case, substituting [tex]\( a = 3 \)[/tex] and [tex]\( r = 0.7 \)[/tex]:
[tex]\[ S = \frac{3}{1-0.7} = \frac{3}{0.3} = 10 \][/tex]
By checking through possibilities given for the defined clues in question:
Let’s evaluate given options recognizing their difference to geometric infinite summation directly.
1. [tex]\( S_n = 7 \left(0.7^n\right) \)[/tex]: This doesn’t fit geometric sum pattern.
2. [tex]\( S_n = 2.1 \left(0.7^n\right) \)[/tex]: This clearly doesn’t fit geometric sum pattern.
3. [tex]\( S_n = 7 \left(1 - 0.7^n\right) \)[/tex]: This matches partial sum form.
4. [tex]\( S_n = 2.1 \left(1 - 0.7^n\right) \)[/tex]: also doesn’t match comprehensive sum.
Only expression involving form similar to geometric finite summation (similar to [tex]\( 1-r^{n+1}\)[/tex]/formation proposed rightly evaluated fits derivable terms i.e in option 3.
Therefore, the rule that defines [tex]\( S_n \)[/tex] is:
[tex]\[ S_n = 7 \left(1-0.7^n\right) \][/tex]
Your participation means a lot to us. Keep sharing information and solutions. This community grows thanks to the amazing contributions from members like you. Find precise solutions at IDNLearn.com. Thank you for trusting us with your queries, and we hope to see you again.