The document defines arithmetic series as a sequence of numbers where each term is found by adding a constant amount (called the common difference) to the previous term. It provides the general formula for an nth term in an arithmetic series as Tn = a + (n-1)d, where a is the first term and d is the common difference. As an example, it calculates the general term for a series where T3 = 9 and T7 = 21, finding the common difference d = 3 and first term a = 3, giving the formula Tn = 3n - 3. It is then asked to calculate the 100th term T100 for this series.
The document defines an arithmetic series as a sequence of numbers where each term is found by adding a constant amount (called the common difference) to the previous term. The nth term (Tn) of an arithmetic series is equal to the first term (a) plus (n-1) times the common difference (d). An example shows how to find the general term and other properties of a series given two terms. Specifically, if T3=9 and T7=21, the general term is Tn=3n-3 and the first term greater than 500 is T167=501.
This document discusses scaling and dimensional analysis techniques applied to transport phenomena problems. It provides examples of scaling length, temperature, and concentration variables to make them dimensionless. Scaling reduces the order of differential equations and identifies dominant terms. Examples include heating a solid in a fluid, a reaction-diffusion problem, and heat transfer along a long thin fin. Dimensional analysis using scaling helps determine the relevant parameters and simplify the governing equations.
The document discusses infinite series and sequences. It begins by introducing the concept of an infinite sum and examines whether a sum like 1/2 + 1/4 + 1/8 + ... can be assigned a numerical value. It then defines an infinite series as a sum that continues indefinitely, and a sequence as the individual terms in a series. The key points are:
- An infinite series can be assigned a value by taking the limit of the corresponding sequence of partial sums.
- Common examples like 0.333... and π are actually infinite series.
- Sequences are functions with domain the natural numbers, and their limit is defined similarly to limits of functions.
- Monotonic and bounded sequences are important for
The document discusses sequences and their properties. A sequence is a function whose domain is the positive integers. Sequences are commonly represented using subscript notation rather than standard function notation. The nth term of a sequence is denoted an. [/SUMMARY]
The chapter discusses infinite series and their convergence. It defines an infinite series as the sum of the terms of a sequence, and defines the partial sums of a series as forming a new sequence. A series converges if the limit of the partial sums exists as a finite number, in which case this limit is the sum of the series. Several examples are provided to illustrate convergent and divergent series. Tests for convergence include checking if the limit of the terms is zero, and using properties of geometric series. Students are expected to be able to test for convergence using appropriate methods.
This document introduces arithmetic and geometric progressions. It defines a sequence as a set of numbers written in a particular order. A series is the sum of the terms in a sequence. An arithmetic progression is a sequence where each new term is obtained by adding a constant difference to the preceding term. The sum of an arithmetic progression can be found using the formula: the sum of the first n terms is equal to one-half n times the quantity of two times the first term plus (n - 1) times the common difference.
- An arithmetic progression is a sequence of numbers where the difference between consecutive terms is constant. It can be represented by the first term (a), common difference (d), and last term (l).
- The general formula for the nth term (Tn) of an AP is: Tn = a + (n-1)d
- The sum (Sn) of the first n terms of an AP can be calculated as: Sn = (n/2)(a + l)
- Inserting arithmetic means between two numbers a and b results in an AP where the common difference (d) is (b-a)/(n+1) and the inserted terms are: a + d, a + 2
The document defines an arithmetic series as a sequence of numbers where each term is found by adding a constant amount (called the common difference) to the previous term. The nth term (Tn) of an arithmetic series is equal to the first term (a) plus (n-1) times the common difference (d). An example shows how to find the general term and other properties of a series given two terms. Specifically, if T3=9 and T7=21, the general term is Tn=3n-3 and the first term greater than 500 is T167=501.
This document discusses scaling and dimensional analysis techniques applied to transport phenomena problems. It provides examples of scaling length, temperature, and concentration variables to make them dimensionless. Scaling reduces the order of differential equations and identifies dominant terms. Examples include heating a solid in a fluid, a reaction-diffusion problem, and heat transfer along a long thin fin. Dimensional analysis using scaling helps determine the relevant parameters and simplify the governing equations.
The document discusses infinite series and sequences. It begins by introducing the concept of an infinite sum and examines whether a sum like 1/2 + 1/4 + 1/8 + ... can be assigned a numerical value. It then defines an infinite series as a sum that continues indefinitely, and a sequence as the individual terms in a series. The key points are:
- An infinite series can be assigned a value by taking the limit of the corresponding sequence of partial sums.
- Common examples like 0.333... and π are actually infinite series.
- Sequences are functions with domain the natural numbers, and their limit is defined similarly to limits of functions.
- Monotonic and bounded sequences are important for
The document discusses sequences and their properties. A sequence is a function whose domain is the positive integers. Sequences are commonly represented using subscript notation rather than standard function notation. The nth term of a sequence is denoted an. [/SUMMARY]
The chapter discusses infinite series and their convergence. It defines an infinite series as the sum of the terms of a sequence, and defines the partial sums of a series as forming a new sequence. A series converges if the limit of the partial sums exists as a finite number, in which case this limit is the sum of the series. Several examples are provided to illustrate convergent and divergent series. Tests for convergence include checking if the limit of the terms is zero, and using properties of geometric series. Students are expected to be able to test for convergence using appropriate methods.
This document introduces arithmetic and geometric progressions. It defines a sequence as a set of numbers written in a particular order. A series is the sum of the terms in a sequence. An arithmetic progression is a sequence where each new term is obtained by adding a constant difference to the preceding term. The sum of an arithmetic progression can be found using the formula: the sum of the first n terms is equal to one-half n times the quantity of two times the first term plus (n - 1) times the common difference.
- An arithmetic progression is a sequence of numbers where the difference between consecutive terms is constant. It can be represented by the first term (a), common difference (d), and last term (l).
- The general formula for the nth term (Tn) of an AP is: Tn = a + (n-1)d
- The sum (Sn) of the first n terms of an AP can be calculated as: Sn = (n/2)(a + l)
- Inserting arithmetic means between two numbers a and b results in an AP where the common difference (d) is (b-a)/(n+1) and the inserted terms are: a + d, a + 2
The document discusses recurrence relations and the Master Theorem for solving recurrences that arise from divide-and-conquer algorithms. It introduces recurrence relations and examples. It then explains the substitution method, iteration method, and Master Theorem for solving recurrences. The Master Theorem provides a "cookbook" for determining the running time of a divide-and-conquer algorithm where the problem of size n is divided into a subproblems of size n/b and the cost is f(n). It presents the three cases of the Master Theorem and works through examples of its application.
This document discusses sequences and series. It provides definitions of key terms like sequence, finite sequence, infinite sequence, convergent sequence, divergent sequence, monotonic sequence, and geometric progression. It then goes on to solve 4 example problems:
1) It shows that the sequence 2n^2+n/n^2+1 is convergent by taking the limit as n approaches infinity.
2) It uses the ratio test to show that the sequence n!/n^n is convergent.
3) It proves that the sequence 1/1! + 1/2! +...+ 1/n! is convergent by showing it is increasing and bounded.
4) It shows that the sequence
This article provides the existence and uniqueness of a common fixed point for a pair of self-mappings, positive integers powers of a pair, and a sequence of self-mappings over a closed subset of a Hilbert space satisfying various contraction conditions involving rational expressions.
This document discusses solving linear homogeneous recurrence relations with constant coefficients. It begins by defining such a recurrence relation as one where the terms are expressed as a linear combination of previous terms. It then explains that these types of relations can be solved by finding the characteristic roots of the characteristic equation. The document provides an example of solving a degree two recurrence relation and outlines the basic approach of finding a solution of the form an = rn. It also discusses solving coupled recurrence relations by eliminating variables to obtain a single recurrence relation that can be solved. Finally, it revisits the Martian DNA problem and shows its solution is a Fibonacci number.
This document introduces arithmetic sequences and series. It defines an arithmetic sequence as a sequence where the difference between consecutive terms is constant. The nth term of an arithmetic sequence can be written as a formula of a, the first term, and d, the common difference. An arithmetic series is the sum of terms in an arithmetic sequence, which can be calculated using the sigma notation and the formula for the sum of an arithmetic sequence. Examples are provided to illustrate finding terms and sums of arithmetic sequences and series.
Critical thoughts about modern option pricingIlya Gikhman
1. The document discusses issues with the Black-Scholes pricing model and proposes an alternative approach. Specifically, it argues that the B-S equation does not necessarily hold at each point in time and adjustments are needed when moving between time intervals.
2. The alternative approach defines option price stochastically based on possible future stock prices at expiration. Price is set to 0 if stock price is below strike, and a fraction of the in-the-money amount otherwise. This defines a distribution for option price based on the underlying stock distribution.
3. In the alternative approach, option price has an associated market risk defined by the probabilities of the traded price being above or below the stochastically defined price.
The document defines sequences and series in precalculus. A sequence is a function with positive integers as its domain. A series represents the sum of the terms of a sequence. The document provides examples of arithmetic and geometric sequences, and defines their associated series. It also discusses infinite geometric series and harmonic sequences. Examples are given to identify sequences and series, determine sequence terms, and identify types of sequences.
The document discusses Fourier series and two of its applications. It provides an overview of Fourier series, including its definition as an infinite series representation of periodic functions in terms of sine and cosine terms. It also discusses two key applications of Fourier series: (1) modeling forced oscillations, where a Fourier series is used to represent periodic forcing functions; and (2) solving the heat equation, where Fourier series are used to represent temperature distributions over time.
1. The document provides an introduction to Fourier analysis and Fourier series. It discusses how periodic functions can be represented as the sum of infinite trigonometric terms.
2. Examples are given of arbitrary functions being approximated by Fourier series of increasing lengths. As the length of the series increases, the ability to mimic the behavior of the original function also increases.
3. The Fourier transform is introduced as a method to represent functions in terms of sine and cosine terms. It allows problems involving differential equations to be transformed into an algebraic form and then transformed back to find the solution.
Last my paper equity, implied, and local volatilitiesIlya Gikhman
In this paper we present a critical point on connections between stock volatility, implied
volatility, and local volatility. The essence of the Black Scholes pricing model is based on assumption
that option piece is formed by no arbitrage portfolio. Such assumption effects the change of the real
underlying stock by its risk neutral counterpart. Market practice shows even more. The volatility of the
underlying should be also changed. Such practice calls for implied volatility. Underlying with implied
volatility is specific for each option. The local volatility development presents the value of implied
volatility.
The document discusses recurrence relations and their applications. It begins by defining a recurrence relation as an equation that expresses the terms of a sequence in terms of previous terms. It provides examples of recurrence relations and their solutions. It then discusses solving linear homogeneous recurrence relations with constant coefficients by finding the characteristic roots and obtaining an explicit formula. Applications discussed include financial recurrence relations, the partition function, binary search, and the Fibonacci numbers. It concludes by discussing the case when the characteristic equation has a single root.
The document defines an arithmetic sequence as a sequence where a constant difference can be added between each term to get the next term. It provides examples of finding the first term and common difference of arithmetic sequences. It explains that the common difference is found by subtracting any term from the one that follows it. Formulas are provided for finding specific terms in an arithmetic sequence given the first term, common difference, or other information. Examples problems are worked through applying these concepts.
This document discusses using recurrence relations to model problems involving counting techniques. It provides examples of modeling problems related to bacteria population growth, rabbit population growth, the Tower of Hanoi puzzle, and valid codeword enumeration. For each problem, it defines the recurrence relation and initial conditions, derives a closed-form solution, and proves its correctness using mathematical induction. Recurrence relations provide a way to define sequences and solve problems recursively by relating terms to previous terms in the sequence.
1. The Black-Scholes option pricing model assumes a perfect hedge using a dynamic trading strategy, but this requires frequent rebalancing of the hedge portfolio which incurs transaction costs that are not accounted for in the model.
2. When the hedge portfolio is rebalanced over discrete time intervals, an adjustment cost arises at each interval that affects the expected present value of the cash flows and thus the derived option price.
3. For the Black-Scholes model to accurately price options, it must account for the expected costs of dynamically rebalancing the hedge portfolio over the life of the option.
A recurrence relation defines a sequence based on a rule that gives the next term as a function of previous terms. There are three main methods to solve recurrence relations: 1) repeated substitution, 2) recursion trees, and 3) the master method. Repeated substitution repeatedly substitutes the recursive function into itself until it is reduced to a non-recursive form. Recursion trees show the successive expansions of a recurrence using a tree structure. The master method provides rules to determine the time complexity of divide and conquer recurrences.
11 x1 t14 01 definitions & arithmetic series (2013)Nigel Simmons
This document defines arithmetic series and provides examples of solving problems related to arithmetic series. It begins by defining an arithmetic series as a sequence where each term is found by adding a constant amount to the previous term. It then gives the general formula for finding the nth term and provides examples of using the formula to find specific terms and solve other problems such as determining the first term greater than a given value.
The document defines a geometric series as a sequence where each term is found by multiplying the previous term by a constant ratio. It provides the following key points:
- The constant ratio is called the common ratio (r)
- The general term of a geometric series is Tn = arn-1
- Examples are worked through to find the common ratio (r) and general term given various sequences
A geometric series is a sequence where each term is found by multiplying the previous term by a constant called the common ratio. The document defines the common ratio r and provides the general formula for calculating any term Tn in a geometric series. It also gives examples of (i) finding r and the general term for the series 2, 8, 32,... and (ii) finding r if T2=7 and T4=49. Finally, it solves (iii) finding the first term greater than 500 for the series 1, 4, 16,...
The document defines a geometric series as a sequence where each term is found by multiplying the previous term by a constant ratio. It provides the following key points:
- The constant ratio is called the common ratio (r)
- The general term (Tn) is equal to the first term (a) multiplied by the common ratio raised to the power of n-1
- Worked examples are provided to find the common ratio and general term given values in a sequence, as well as to determine the first term greater than a specified value.
A geometric series is a sequence of numbers where each term is found by multiplying the previous term by a constant value called the common ratio. The document provides examples of finding the common ratio and the general term of geometric series. It also shows how to determine the first term greater than a given value.
This document defines sequences and provides information about arithmetic and geometric sequences. It discusses the recursive and implicit definitions of sequences. For arithmetic sequences, it explains how to find the common difference and the nth term using the common difference and the first term. For geometric sequences, it similarly explains how to find the common ratio and the nth term using the common ratio and first term.
Introduction to sequences, arithmetic, geometric and others. Recursively and implicitly definitions. Using the graphing calculator find the value of any term in a sequence.
The document discusses recurrence relations and the Master Theorem for solving recurrences that arise from divide-and-conquer algorithms. It introduces recurrence relations and examples. It then explains the substitution method, iteration method, and Master Theorem for solving recurrences. The Master Theorem provides a "cookbook" for determining the running time of a divide-and-conquer algorithm where the problem of size n is divided into a subproblems of size n/b and the cost is f(n). It presents the three cases of the Master Theorem and works through examples of its application.
This document discusses sequences and series. It provides definitions of key terms like sequence, finite sequence, infinite sequence, convergent sequence, divergent sequence, monotonic sequence, and geometric progression. It then goes on to solve 4 example problems:
1) It shows that the sequence 2n^2+n/n^2+1 is convergent by taking the limit as n approaches infinity.
2) It uses the ratio test to show that the sequence n!/n^n is convergent.
3) It proves that the sequence 1/1! + 1/2! +...+ 1/n! is convergent by showing it is increasing and bounded.
4) It shows that the sequence
This article provides the existence and uniqueness of a common fixed point for a pair of self-mappings, positive integers powers of a pair, and a sequence of self-mappings over a closed subset of a Hilbert space satisfying various contraction conditions involving rational expressions.
This document discusses solving linear homogeneous recurrence relations with constant coefficients. It begins by defining such a recurrence relation as one where the terms are expressed as a linear combination of previous terms. It then explains that these types of relations can be solved by finding the characteristic roots of the characteristic equation. The document provides an example of solving a degree two recurrence relation and outlines the basic approach of finding a solution of the form an = rn. It also discusses solving coupled recurrence relations by eliminating variables to obtain a single recurrence relation that can be solved. Finally, it revisits the Martian DNA problem and shows its solution is a Fibonacci number.
This document introduces arithmetic sequences and series. It defines an arithmetic sequence as a sequence where the difference between consecutive terms is constant. The nth term of an arithmetic sequence can be written as a formula of a, the first term, and d, the common difference. An arithmetic series is the sum of terms in an arithmetic sequence, which can be calculated using the sigma notation and the formula for the sum of an arithmetic sequence. Examples are provided to illustrate finding terms and sums of arithmetic sequences and series.
Critical thoughts about modern option pricingIlya Gikhman
1. The document discusses issues with the Black-Scholes pricing model and proposes an alternative approach. Specifically, it argues that the B-S equation does not necessarily hold at each point in time and adjustments are needed when moving between time intervals.
2. The alternative approach defines option price stochastically based on possible future stock prices at expiration. Price is set to 0 if stock price is below strike, and a fraction of the in-the-money amount otherwise. This defines a distribution for option price based on the underlying stock distribution.
3. In the alternative approach, option price has an associated market risk defined by the probabilities of the traded price being above or below the stochastically defined price.
The document defines sequences and series in precalculus. A sequence is a function with positive integers as its domain. A series represents the sum of the terms of a sequence. The document provides examples of arithmetic and geometric sequences, and defines their associated series. It also discusses infinite geometric series and harmonic sequences. Examples are given to identify sequences and series, determine sequence terms, and identify types of sequences.
The document discusses Fourier series and two of its applications. It provides an overview of Fourier series, including its definition as an infinite series representation of periodic functions in terms of sine and cosine terms. It also discusses two key applications of Fourier series: (1) modeling forced oscillations, where a Fourier series is used to represent periodic forcing functions; and (2) solving the heat equation, where Fourier series are used to represent temperature distributions over time.
1. The document provides an introduction to Fourier analysis and Fourier series. It discusses how periodic functions can be represented as the sum of infinite trigonometric terms.
2. Examples are given of arbitrary functions being approximated by Fourier series of increasing lengths. As the length of the series increases, the ability to mimic the behavior of the original function also increases.
3. The Fourier transform is introduced as a method to represent functions in terms of sine and cosine terms. It allows problems involving differential equations to be transformed into an algebraic form and then transformed back to find the solution.
Last my paper equity, implied, and local volatilitiesIlya Gikhman
In this paper we present a critical point on connections between stock volatility, implied
volatility, and local volatility. The essence of the Black Scholes pricing model is based on assumption
that option piece is formed by no arbitrage portfolio. Such assumption effects the change of the real
underlying stock by its risk neutral counterpart. Market practice shows even more. The volatility of the
underlying should be also changed. Such practice calls for implied volatility. Underlying with implied
volatility is specific for each option. The local volatility development presents the value of implied
volatility.
The document discusses recurrence relations and their applications. It begins by defining a recurrence relation as an equation that expresses the terms of a sequence in terms of previous terms. It provides examples of recurrence relations and their solutions. It then discusses solving linear homogeneous recurrence relations with constant coefficients by finding the characteristic roots and obtaining an explicit formula. Applications discussed include financial recurrence relations, the partition function, binary search, and the Fibonacci numbers. It concludes by discussing the case when the characteristic equation has a single root.
The document defines an arithmetic sequence as a sequence where a constant difference can be added between each term to get the next term. It provides examples of finding the first term and common difference of arithmetic sequences. It explains that the common difference is found by subtracting any term from the one that follows it. Formulas are provided for finding specific terms in an arithmetic sequence given the first term, common difference, or other information. Examples problems are worked through applying these concepts.
This document discusses using recurrence relations to model problems involving counting techniques. It provides examples of modeling problems related to bacteria population growth, rabbit population growth, the Tower of Hanoi puzzle, and valid codeword enumeration. For each problem, it defines the recurrence relation and initial conditions, derives a closed-form solution, and proves its correctness using mathematical induction. Recurrence relations provide a way to define sequences and solve problems recursively by relating terms to previous terms in the sequence.
1. The Black-Scholes option pricing model assumes a perfect hedge using a dynamic trading strategy, but this requires frequent rebalancing of the hedge portfolio which incurs transaction costs that are not accounted for in the model.
2. When the hedge portfolio is rebalanced over discrete time intervals, an adjustment cost arises at each interval that affects the expected present value of the cash flows and thus the derived option price.
3. For the Black-Scholes model to accurately price options, it must account for the expected costs of dynamically rebalancing the hedge portfolio over the life of the option.
A recurrence relation defines a sequence based on a rule that gives the next term as a function of previous terms. There are three main methods to solve recurrence relations: 1) repeated substitution, 2) recursion trees, and 3) the master method. Repeated substitution repeatedly substitutes the recursive function into itself until it is reduced to a non-recursive form. Recursion trees show the successive expansions of a recurrence using a tree structure. The master method provides rules to determine the time complexity of divide and conquer recurrences.
11 x1 t14 01 definitions & arithmetic series (2013)Nigel Simmons
This document defines arithmetic series and provides examples of solving problems related to arithmetic series. It begins by defining an arithmetic series as a sequence where each term is found by adding a constant amount to the previous term. It then gives the general formula for finding the nth term and provides examples of using the formula to find specific terms and solve other problems such as determining the first term greater than a given value.
The document defines a geometric series as a sequence where each term is found by multiplying the previous term by a constant ratio. It provides the following key points:
- The constant ratio is called the common ratio (r)
- The general term of a geometric series is Tn = arn-1
- Examples are worked through to find the common ratio (r) and general term given various sequences
A geometric series is a sequence where each term is found by multiplying the previous term by a constant called the common ratio. The document defines the common ratio r and provides the general formula for calculating any term Tn in a geometric series. It also gives examples of (i) finding r and the general term for the series 2, 8, 32,... and (ii) finding r if T2=7 and T4=49. Finally, it solves (iii) finding the first term greater than 500 for the series 1, 4, 16,...
The document defines a geometric series as a sequence where each term is found by multiplying the previous term by a constant ratio. It provides the following key points:
- The constant ratio is called the common ratio (r)
- The general term (Tn) is equal to the first term (a) multiplied by the common ratio raised to the power of n-1
- Worked examples are provided to find the common ratio and general term given values in a sequence, as well as to determine the first term greater than a specified value.
A geometric series is a sequence of numbers where each term is found by multiplying the previous term by a constant value called the common ratio. The document provides examples of finding the common ratio and the general term of geometric series. It also shows how to determine the first term greater than a given value.
This document defines sequences and provides information about arithmetic and geometric sequences. It discusses the recursive and implicit definitions of sequences. For arithmetic sequences, it explains how to find the common difference and the nth term using the common difference and the first term. For geometric sequences, it similarly explains how to find the common ratio and the nth term using the common ratio and first term.
Introduction to sequences, arithmetic, geometric and others. Recursively and implicitly definitions. Using the graphing calculator find the value of any term in a sequence.
The document discusses sequences and provides examples of arithmetic and geometric sequences. It defines key terms like sequence, arithmetic sequence, common difference, geometric sequence, and common ratio. Formulas are given for finding the nth term in an arithmetic sequence and a geometric sequence. Examples are shown for calculating the common difference and finding a specific term in an arithmetic sequence.
The document defines sequences and provides information about arithmetic and geometric sequences. It explains that:
- An arithmetic sequence follows a pattern where each term is generated by adding a common difference to the previous term. The common difference is the slope of the linear equation that generates the terms.
- The nth term in an arithmetic sequence can be calculated as: tn = a + (n - 1)d, where a is the first term, n is the position of the term, and d is the common difference.
- A geometric sequence follows a pattern where each term is generated by multiplying the previous term by a common ratio. The common ratio is the base of the exponential equation that generates the terms.
This document defines key concepts related to sequences and series. It introduces factorial notation, where n! represents the product of all positive integers less than or equal to n. It also defines summation notation as the sum of the first n terms of a sequence. The document distinguishes between infinite sequences and infinite series, which is the sum of the numbers in an infinite sequence. It describes arithmetic sequences as those where the difference between consecutive terms is constant, and geometric sequences as those where the ratio of consecutive terms is constant. It provides the formula for calculating the sum of terms in an infinite geometric series.
The document discusses arithmetic sequences, including defining them recursively or through an implicit linear equation, finding the common difference and nth term, and examples of determining terms and sums of arithmetic sequences given initial terms or the values of a and d. It also provides homework problems involving identifying arithmetic sequences, writing terms, and calculating sums of sequences.
The document defines an arithmetic progression (AP) as a sequence of numbers where each term is calculated by adding a constant value, called the common difference, to the preceding term. The general formula for calculating any term in an AP is: tn = a + (n - 1)d, where a is the first term, d is the common difference, and n is the term number. Several examples of AP sequences are provided to illustrate the definition and formula. Methods for calculating the nth term, sum of terms, and finding consecutive terms in an AP are also explained.
The document discusses arithmetic sequences and provides examples of finding terms in arithmetic sequences. It defines an arithmetic sequence as a list of numbers generated by adding a common difference to successive terms. It provides the recursive and implicit definitions of an arithmetic sequence and explains how to find the common difference and the nth term of a sequence given its first term and common difference.
Arithmetic Sequences and Series-Boger.pptGIDEONPAUL13
The document discusses arithmetic sequences and series. Some key points include:
- An arithmetic sequence is a sequence whose consecutive terms have a common difference. The common difference is the number added to get the next term.
- An arithmetic series is the sum of terms in an arithmetic sequence.
- The formula to find any term in an arithmetic sequence is an = a1 + (n - 1)d, where a1 is the first term, n is the term number, and d is the common difference.
- The formula to find the sum of the first n terms of an arithmetic sequence is Sn = (n/2)(a1 + an), where a1 is the first term, an is the last
Arithmetic Sequences and Series-Boger.pptreboy_arroyo
The document discusses arithmetic sequences and series. Some key points include:
- An arithmetic sequence is a sequence whose consecutive terms have a common difference. The common difference is the number added to get the next term.
- An arithmetic series is the sum of terms in an arithmetic sequence.
- Formulas are provided for finding the nth term of an arithmetic sequence and the sum of the first n terms of an arithmetic sequence.
- Examples are given of finding terms, common differences, and sums of arithmetic sequences and series.
The document discusses arithmetic sequences and series. It provides examples of arithmetic sequences and how to determine the common difference and write terms. It also discusses how to find individual terms, sums of terms, and arithmetic means within sequences. Formulas are provided for the nth term of a sequence, the sum of terms, and evaluating sequences.
The document defines sequences and their patterns, including arithmetic and geometric sequences. It provides the recursive and implicit definitions of each, explaining how to find the common difference or ratio, and the nth term in the sequences. Examples are given for finding the common difference and the nth term in an arithmetic sequence, and the implicit definition and nth term for a geometric sequence.
Fourier series can be used to decompose periodic functions into simpler trigonometric components. A periodic function can be represented as the sum of an infinite series of sines and cosines with frequencies that are integer multiples of a fundamental frequency. This decomposition allows periodic waveforms to be analyzed and approximated by truncating the series to include only the first few terms. The sine and cosine functions form an orthogonal basis set for periodic functions, which means the Fourier series representation is unique. An example shows how a square wave can be represented by its Fourier series expansion using only sine terms.
This document discusses arithmetic sequences and series. It defines an arithmetic sequence as a sequence where each term differs from the preceding term by a constant amount called the common difference. It provides formulas for finding the nth term of an arithmetic sequence as well as the nth partial sum of an arithmetic series.
Similar to 11X1 T14 01 definitions & arithmetic series (2010) (20)
Slideshare is discontinuing its Slidecast feature as of February 28, 2014. Existing Slidecasts will be converted to static presentations without audio by April 30, 2014. The document informs users that new slidecasts can be found on myPlick.com or the author's blog starting in 2014. However, myPlick proved unreliable, so future slidecasts will instead be hosted on the author's YouTube channel.
The document discusses different methods for factorising expressions:
1) Looking for a common factor and dividing it out of all terms
2) Using the difference of two squares formula (a2 - b2 = (a - b)(a + b))
3) Factorising quadratic trinomials into two binomial factors by identifying the values that multiply to give the constant term and sum to give the coefficient of the linear term.
The document provides information on index laws and the meaning of indices in algebra:
- Index laws state that am × an = am+n, am ÷ an = am-n, and (am)n = amn. Exponents can be added or subtracted when multiplying or dividing terms with the same base.
- Positive exponents indicate a term is raised to a power. Negative exponents indicate a root is being taken. Terms with exponents are evaluated from left to right.
- Examples demonstrate how to simplify expressions using index laws and interpret different types of indices.
12 x1 t01 03 integrating derivative on function (2013)Nigel Simmons
The document discusses integrating derivatives of functions. It states that the integral of the derivative of a function f(x) is equal to the natural log of f(x) plus a constant. It then provides examples of integrating several derivatives: (i) ∫(1/(7-3x)) dx = -1/3 log(7-3x) + c, (ii) ∫(1/(8x+5)) dx = 1/8 log(8x+5) + c, and (iii) ∫(x5/(x-2)) dx = 1/6 log(x6-2) + c. It also discusses techniques for integrating fractions by polynomial long division and finds
The document discusses logarithms and their properties. Logarithms are defined as the inverse of exponentials. If y = ax, then x = loga y. The natural logarithm is log base e, written as ln. Properties of logarithms include: loga m + loga n = loga mn; loga m - loga n = loga(m/n); loga mn = n loga m; loga 1 = 0; loga a = 1. Examples of evaluating logarithmic expressions are provided.
The document discusses relationships between the coefficients and roots of polynomials. It states that for a polynomial P(x) = axn + bxn-1 + cxn-2 + ..., the sum of the roots equals -b/a, the sum of the roots taken two at a time equals c/a, and so on for higher order terms. It also provides examples of using these relationships to find the sums of roots for a given polynomial.
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4
3
2
The document discusses properties of polynomials with multiple roots. It first proves that if a polynomial P(x) has a root x = a of multiplicity m, then the derivative of P(x), P'(x), will have a root x = a of multiplicity m-1. It then provides an example of solving a cubic equation given it has a double root. Finally, it examines a quartic polynomial and shows that its root α cannot be 0, 1, or -1, and that 1/
The document discusses factorizing complex expressions. The main points are:
- If a polynomial's coefficients are real, its roots will appear in complex conjugate pairs.
- Any polynomial of degree n can be factorized into a mixture of quadratic and linear factors over real numbers, or into n linear factors over complex numbers.
- Odd degree polynomials must have at least one real root.
- Examples of factorizing polynomials over both real and complex numbers are provided.
The document describes the Trapezoidal Rule for approximating the area under a curve between two points. It shows that the area A is estimated by dividing the region into trapezoids with height equal to the function values at the interval endpoints and bases equal to the intervals. In general, the area is approximated as the sum of the areas of each trapezoid, which is equal to the average of the endpoint function values multiplied by the interval length.
The document discusses methods for calculating the volumes of solids of revolution. It provides formulas for finding volumes when an area is revolved around either the x-axis or y-axis. Examples are given for finding volumes of common solids like cones, spheres, and others. Steps are shown for using the formulas to calculate volumes based on given functions and limits of revolution.
The document discusses different methods for calculating the area under a curve or between curves.
(1) The area below the x-axis is given by the integral of the function between the bounds, which can be positive or negative depending on whether the area is above or below the x-axis.
(2) To calculate the area on the y-axis, the function is solved for x in terms of y, then the bounds are substituted into the integral of this new function with respect to y.
(3) The area between two curves is calculated by taking the integral of the upper curve minus the integral of the lower curve, both between the same bounds on the x-axis.
The document discusses 8 properties of definite integrals:
1) Integrating polynomials results in a fraction.
2) Constants can be factored out of integrals.
3) Integrals of sums are equal to the sum of integrals.
4) Splitting an integral range results in the sum of the integrals.
5) Integrals of positive functions over a range are positive, and negative if the function is negative.
6) Integrals can be compared based on the relative values of the integrands.
7) Changing the limits of integration flips the sign of the integral.
8) Integrals of odd functions over a symmetric range are zero, and integrals of even functions are twice the integral over
How Barcodes Can Be Leveraged Within Odoo 17Celine George
In this presentation, we will explore how barcodes can be leveraged within Odoo 17 to streamline our manufacturing processes. We will cover the configuration steps, how to utilize barcodes in different manufacturing scenarios, and the overall benefits of implementing this technology.
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...indexPub
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
6. Series & Applications
Definitions
Sequence (Progression):a set of numbers that follow a pattern
Series:a set of numbers added together
a:the first term
Tn : the nth term
7. Series & Applications
Definitions
Sequence (Progression):a set of numbers that follow a pattern
Series:a set of numbers added together
a:the first term
Tn : the nth term
Sn : the sum of the first n terms
8. Series & Applications
Definitions
Sequence (Progression):a set of numbers that follow a pattern
Series:a set of numbers added together
a:the first term
Tn : the nth term
Sn : the sum of the first n terms
e.g. Tn n 2 2, find;
9. Series & Applications
Definitions
Sequence (Progression):a set of numbers that follow a pattern
Series:a set of numbers added together
a:the first term
Tn : the nth term
Sn : the sum of the first n terms
e.g. Tn n 2 2, find;
i T5
10. Series & Applications
Definitions
Sequence (Progression):a set of numbers that follow a pattern
Series:a set of numbers added together
a:the first term
Tn : the nth term
Sn : the sum of the first n terms
e.g. Tn n 2 2, find;
i T5 52 2
27
11. Series & Applications
Definitions
Sequence (Progression):a set of numbers that follow a pattern
Series:a set of numbers added together
a:the first term
Tn : the nth term
Sn : the sum of the first n terms
e.g. Tn n 2 2, find;
i T5 52 2 (ii) whether 42 is a term in the sequence
27
12. Series & Applications
Definitions
Sequence (Progression):a set of numbers that follow a pattern
Series:a set of numbers added together
a:the first term
Tn : the nth term
Sn : the sum of the first n terms
e.g. Tn n 2 2, find;
i T5 52 2 (ii) whether 42 is a term in the sequence
27 42 n 2 2
13. Series & Applications
Definitions
Sequence (Progression):a set of numbers that follow a pattern
Series:a set of numbers added together
a:the first term
Tn : the nth term
Sn : the sum of the first n terms
e.g. Tn n 2 2, find;
i T5 52 2 (ii) whether 42 is a term in the sequence
27 42 n 2 2
n 2 40
n 40
14. Series & Applications
Definitions
Sequence (Progression):a set of numbers that follow a pattern
Series:a set of numbers added together
a:the first term
Tn : the nth term
Sn : the sum of the first n terms
e.g. Tn n 2 2, find;
i T5 52 2 (ii) whether 42 is a term in the sequence
27 42 n 2 2
n 2 40
n 40 , which is not an integer
Thus 42 is not a term
16. Arithmetic Series
An arithmetic series is a sequence of numbers in which each term after
the first is found by adding a constant amount to the previous term.
17. Arithmetic Series
An arithmetic series is a sequence of numbers in which each term after
the first is found by adding a constant amount to the previous term.
The constant amount is called the common difference, symbolised, d.
18. Arithmetic Series
An arithmetic series is a sequence of numbers in which each term after
the first is found by adding a constant amount to the previous term.
The constant amount is called the common difference, symbolised, d.
d T2 a
19. Arithmetic Series
An arithmetic series is a sequence of numbers in which each term after
the first is found by adding a constant amount to the previous term.
The constant amount is called the common difference, symbolised, d.
d T2 a
T3 T2
20. Arithmetic Series
An arithmetic series is a sequence of numbers in which each term after
the first is found by adding a constant amount to the previous term.
The constant amount is called the common difference, symbolised, d.
d T2 a
T3 T2
d Tn Tn1
21. Arithmetic Series
An arithmetic series is a sequence of numbers in which each term after
the first is found by adding a constant amount to the previous term.
The constant amount is called the common difference, symbolised, d.
d T2 a T1 a
T3 T2
d Tn Tn1
22. Arithmetic Series
An arithmetic series is a sequence of numbers in which each term after
the first is found by adding a constant amount to the previous term.
The constant amount is called the common difference, symbolised, d.
d T2 a T1 a
T3 T2 T2 a d
d Tn Tn1
23. Arithmetic Series
An arithmetic series is a sequence of numbers in which each term after
the first is found by adding a constant amount to the previous term.
The constant amount is called the common difference, symbolised, d.
d T2 a T1 a
T3 T2 T2 a d
d Tn Tn1 T3 a 2d
24. Arithmetic Series
An arithmetic series is a sequence of numbers in which each term after
the first is found by adding a constant amount to the previous term.
The constant amount is called the common difference, symbolised, d.
d T2 a T1 a
T3 T2 T2 a d
d Tn Tn1 T3 a 2d
Tn a n 1d
25. Arithmetic Series
An arithmetic series is a sequence of numbers in which each term after
the first is found by adding a constant amount to the previous term.
The constant amount is called the common difference, symbolised, d.
d T2 a T1 a
T3 T2 T2 a d
d Tn Tn1 T3 a 2d
Tn a n 1d
e.g.i If T3 9 and T7 21, find;
the general term.
26. Arithmetic Series
An arithmetic series is a sequence of numbers in which each term after
the first is found by adding a constant amount to the previous term.
The constant amount is called the common difference, symbolised, d.
d T2 a T1 a
T3 T2 T2 a d
d Tn Tn1 T3 a 2d
Tn a n 1d
e.g.i If T3 9 and T7 21, find;
the general term.
a 2d 9
27. Arithmetic Series
An arithmetic series is a sequence of numbers in which each term after
the first is found by adding a constant amount to the previous term.
The constant amount is called the common difference, symbolised, d.
d T2 a T1 a
T3 T2 T2 a d
d Tn Tn1 T3 a 2d
Tn a n 1d
e.g.i If T3 9 and T7 21, find;
the general term.
a 2d 9
a 6d 21
28. Arithmetic Series
An arithmetic series is a sequence of numbers in which each term after
the first is found by adding a constant amount to the previous term.
The constant amount is called the common difference, symbolised, d.
d T2 a T1 a
T3 T2 T2 a d
d Tn Tn1 T3 a 2d
Tn a n 1d
e.g.i If T3 9 and T7 21, find;
the general term.
a 2d 9
a 6d 21
4d 12
d 3
29. Arithmetic Series
An arithmetic series is a sequence of numbers in which each term after
the first is found by adding a constant amount to the previous term.
The constant amount is called the common difference, symbolised, d.
d T2 a T1 a
T3 T2 T2 a d
d Tn Tn1 T3 a 2d
Tn a n 1d
e.g.i If T3 9 and T7 21, find;
the general term.
a 2d 9
a 6d 21
4d 12
d 3 a 3
30. Arithmetic Series
An arithmetic series is a sequence of numbers in which each term after
the first is found by adding a constant amount to the previous term.
The constant amount is called the common difference, symbolised, d.
d T2 a T1 a
T3 T2 T2 a d
d Tn Tn1 T3 a 2d
Tn a n 1d
e.g.i If T3 9 and T7 21, find;
the general term.
a 2d 9 Tn 3 n 13
a 6d 21
4d 12
d 3 a 3
31. Arithmetic Series
An arithmetic series is a sequence of numbers in which each term after
the first is found by adding a constant amount to the previous term.
The constant amount is called the common difference, symbolised, d.
d T2 a T1 a
T3 T2 T2 a d
d Tn Tn1 T3 a 2d
Tn a n 1d
e.g.i If T3 9 and T7 21, find;
the general term.
a 2d 9 Tn 3 n 13
a 6d 21 3 3n 3
4d 12 3n
d 3 a 3