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ESTION 2 Consider the following quadratic sequence: \( 6 ; x ; 26 ; 45 ; y ; \ldots \) Determine the values of \( x \) and \( y \). 2 Given the following series: \( 220+213+206+\ldots-11 \) 2.2.1 Calculate the sum of the series. 2.2.2 Write the series in sigma-notation. 2.3 A batt is dropped from a beight of 15 m . It bounces back and loses \( 10 \% \) of its prev height on each bounce. Show that the total distance the ball will bounce cannot exi 290 m . 2.4 Given: \( 25\left(\frac{1-t}{3}\right)+5\left(\frac{1-1}{3}\right)^{2}+\left(\frac{1-1}{3}\right)^{3}+ \). \( \qquad \) 2.4.1 For which value(s) of \( l \) will the series converge? 2.4.2 If \( t=15 \), calculate the sum to infinity of the series if it exists. 2.5 The sum of the first \( n \) terms of a sequence is \( S_{\infty}=2^{x-1}+3 \). Deternine the \( 70^{\text {th }} \) term. Leave your answer in the form \( a . b^{\circ} \) where \( a, b \) and \( p \) at integers.

Ask by Welch Goodwin. in South Africa
Mar 14,2025

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- \( x = 13 \) and \( y = 70 \) - The sum of the series is 3553. - The series in sigma-notation is \( \sum_{k=0}^{33} (220 - 7k) \). - The total distance the ball will bounce is 285 m. - The series converges for \( -4 < t < 2 \). For \( t = 15 \), the series does not converge. - The 70th term is \( 2^{68} \).

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The Deep Dive

The analysis of quadratic sequences dates back to ancient civilizations, where mathematicians like Pythagoras would explore patterns in numbers. The general form of a quadratic sequence can be expressed as \( an^2 + bn + c \), where \( a \), \( b \), and \( c \) are constants. Understanding these sequences not only illuminates historical numerical studies but also provides a foundation for modern algebraic concepts. In practice, quadratic sequences often arise in various fields such as physics and finance, where relationships between variables exhibit a parabolic trend. For instance, the trajectory of an object under uniform gravity can be modeled with a quadratic equation. By recognizing these sequences in real-world scenarios, one can solve problems concerning trajectories, investment growth, or optimizing measurements, transforming abstract math into valuable tools for everyday decision-making!

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