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63-454: If the input is a continuous-time analog signal, it needs to be sampled first so that a discrete-time signal is the input to the DPCM encoder. Applying one of these two processes, short-term redundancy (positive correlation of nearby values) of the signal is eliminated; compression ratios on the order of 2 to 4 can be achieved if differences are subsequently entropy coded because the entropy of

126-426: A u {\displaystyle u} is called an upper bound of S . {\displaystyle S.} So, Dedekind completeness means that, if S is bounded above, it has an upper bound that is less than any other upper bound. Dedekind completeness implies other sorts of completeness (see below), but also has some important consequences. The last two properties are summarized by saying that

189-440: A , {\displaystyle D_{n-1}+a_{n}/10^{n}\leq a,} and one sets D n = D n − 1 + a n / 10 n . {\displaystyle D_{n}=D_{n-1}+a_{n}/10^{n}.} One can use the defining properties of the real numbers to show that x is the least upper bound of the D n . {\displaystyle D_{n}.} So,

252-480: A decimal point , representing the infinite series For example, for the circle constant π = 3.14159 ⋯ , {\displaystyle \pi =3.14159\cdots ,} k is zero and b 0 = 3 , {\displaystyle b_{0}=3,} a 1 = 1 , {\displaystyle a_{1}=1,} a 2 = 4 , {\displaystyle a_{2}=4,} etc. More formally,

315-406: A decimal representation for a nonnegative real number x consists of a nonnegative integer k and integers between zero and nine in the infinite sequence (If k > 0 , {\displaystyle k>0,} then by convention b k ≠ 0. {\displaystyle b_{k}\neq 0.} ) Such a decimal representation specifies the real number as

378-497: A discrete-time signal has a countable domain, like the natural numbers . A signal of continuous amplitude and time is known as a continuous-time signal or an analog signal . This (a signal ) will have some value at every instant of time. The electrical signals derived in proportion with the physical quantities such as temperature, pressure, sound etc. are generally continuous signals. Other examples of continuous signals are sine wave, cosine wave, triangular wave etc. The signal

441-443: A line called the number line or real line , where the points corresponding to integers ( ..., −2, −1, 0, 1, 2, ... ) are equally spaced. Conversely, analytic geometry is the association of points on lines (especially axis lines ) to real numbers such that geometric displacements are proportional to differences between corresponding numbers. The informal descriptions above of the real numbers are not sufficient for ensuring

504-593: A power of ten , extending to finitely many positive powers of ten to the left and infinitely many negative powers of ten to the right. For a number x whose decimal representation extends k places to the left, the standard notation is the juxtaposition of the digits b k b k − 1 ⋯ b 0 . a 1 a 2 ⋯ , {\displaystyle b_{k}b_{k-1}\cdots b_{0}.a_{1}a_{2}\cdots ,} in descending order by power of ten, with non-negative and negative powers of ten separated by

567-457: A real number is a number that can be used to measure a continuous one- dimensional quantity such as a distance , duration or temperature . Here, continuous means that pairs of values can have arbitrarily small differences. Every real number can be almost uniquely represented by an infinite decimal expansion . The real numbers are fundamental in calculus (and in many other branches of mathematics), in particular by their role in

630-486: A total order that have the following properties. Many other properties can be deduced from the above ones. In particular: Several other operations are commonly used, which can be deduced from the above ones. The total order that is considered above is denoted a < b {\displaystyle a<b} and read as " a is less than b ". Three other order relations are also commonly used: The real numbers 0 and 1 are commonly identified with

693-452: A characterization of the real numbers.) It is not true that R {\displaystyle \mathbb {R} } is the only uniformly complete ordered field, but it is the only uniformly complete Archimedean field , and indeed one often hears the phrase "complete Archimedean field" instead of "complete ordered field". Every uniformly complete Archimedean field must also be Dedekind-complete (and vice versa), justifying using "the" in

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756-454: A detached point in time, usually at an integer value on the horizontal axis, and the measured variable is plotted as a height above that time-axis point. In this technique, the graph appears as a set of dots. The values of a variable measured in continuous time are plotted as a continuous function , since the domain of time is considered to be the entire real axis or at least some connected portion of it. Real numbers In mathematics ,

819-431: A finite (or infinite) duration signal may or may not be finite. For example, is a finite duration signal but it takes an infinite value for t = 0 {\displaystyle t=0\,} . In many disciplines, the convention is that a continuous signal must always have a finite value, which makes more sense in the case of physical signals. For some purposes, infinite singularities are acceptable as long as

882-405: A limit, without computing it, and even without knowing it. For example, the standard series of the exponential function converges to a real number for every x , because the sums can be made arbitrarily small (independently of M ) by choosing N sufficiently large. This proves that the sequence is Cauchy, and thus converges, showing that e x {\displaystyle e^{x}}

945-459: A nonnegative real number x , one can define a decimal representation of x by induction , as follows. Define b k ⋯ b 0 {\displaystyle b_{k}\cdots b_{0}} as decimal representation of the largest integer D 0 {\displaystyle D_{0}} such that D 0 ≤ x {\displaystyle D_{0}\leq x} (this integer exists because of

1008-407: A price P in response to non-zero excess demand for a product can be modeled in continuous time as where the left side is the first derivative of the price with respect to time (that is, the rate of change of the price), λ {\displaystyle \lambda } is the speed-of-adjustment parameter which can be any positive finite number, and f {\displaystyle f}

1071-473: A rational number is an equivalence class of pairs of integers, and a real number is an equivalence class of Cauchy series), and are generally harmless. It is only in very specific situations, that one must avoid them and replace them by using explicitly the above homomorphisms. This is the case in constructive mathematics and computer programming . In the latter case, these homomorphisms are interpreted as type conversions that can often be done automatically by

1134-423: A sequence of quarterly values. When one attempts to empirically explain such variables in terms of other variables and/or their own prior values, one uses time series or regression methods in which variables are indexed with a subscript indicating the time period in which the observation occurred. For example, y t might refer to the value of income observed in unspecified time period t , y 3 to

1197-721: Is a variable in the range from 0 to 1 inclusive whose value in period t nonlinearly affects its value in the next period, t +1. For example, if r = 4 {\displaystyle r=4} and x 1 = 1 / 3 {\displaystyle x_{1}=1/3} , then for t =1 we have x 2 = 4 ( 1 / 3 ) ( 2 / 3 ) = 8 / 9 {\displaystyle x_{2}=4(1/3)(2/3)=8/9} , and for t =2 we have x 3 = 4 ( 8 / 9 ) ( 1 / 9 ) = 32 / 81 {\displaystyle x_{3}=4(8/9)(1/9)=32/81} . Another example models

1260-470: Is again the excess demand function. A variable measured in discrete time can be plotted as a step function , in which each time period is given a region on the horizontal axis of the same length as every other time period, and the measured variable is plotted as a height that stays constant throughout the region of the time period. In this graphical technique, the graph appears as a sequence of horizontal steps. Alternatively, each time period can be viewed as

1323-434: Is defined over a domain, which may or may not be finite, and there is a functional mapping from the domain to the value of the signal. The continuity of the time variable, in connection with the law of density of real numbers , means that the signal value can be found at any arbitrary point in time. A typical example of an infinite duration signal is: A finite duration counterpart of the above signal could be: The value of

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1386-416: Is finite. Measurements are typically made at sequential integer values of the variable "time". A discrete signal or discrete-time signal is a time series consisting of a sequence of quantities. Unlike a continuous-time signal, a discrete-time signal is not a function of a continuous argument; however, it may have been obtained by sampling from a continuous-time signal. When a discrete-time signal

1449-435: Is less than ε for all n and m that are both greater than N . This definition, originally provided by Cauchy , formalizes the fact that the x n eventually come and remain arbitrarily close to each other. A sequence ( x n ) converges to the limit x if its elements eventually come and remain arbitrarily close to x , that is, if for any ε > 0 there exists an integer N (possibly depending on ε) such that

1512-453: Is obtained by sampling a sequence at uniformly spaced times, it has an associated sampling rate . Discrete-time signals may have several origins, but can usually be classified into one of two groups: In contrast, continuous time views variables as having a particular value only for an infinitesimally short amount of time. Between any two points in time there are an infinite number of other points in time. The variable "time" ranges over

1575-482: Is so that many sequences have limits . More formally, the reals are complete (in the sense of metric spaces or uniform spaces , which is a different sense than the Dedekind completeness of the order in the previous section): A sequence ( x n ) of real numbers is called a Cauchy sequence if for any ε > 0 there exists an integer N (possibly depending on ε) such that the distance | x n − x m |

1638-524: Is space and is particularly useful in image processing , where two space dimensions are used. Discrete time is often employed when empirical measurements are involved, because normally it is only possible to measure variables sequentially. For example, while economic activity actually occurs continuously, there being no moment when the economy is totally in a pause, it is only possible to measure economic activity discretely. For this reason, published data on, for example, gross domestic product will show

1701-430: Is viewed as a discrete variable . Thus a non-time variable jumps from one value to another as time moves from one time period to the next. This view of time corresponds to a digital clock that gives a fixed reading of 10:37 for a while, and then jumps to a new fixed reading of 10:38, etc. In this framework, each variable of interest is measured once at each time period. The number of measurements between any two time periods

1764-458: Is well defined for every x . The real numbers are often described as "the complete ordered field", a phrase that can be interpreted in several ways. First, an order can be lattice-complete . It is easy to see that no ordered field can be lattice-complete, because it can have no largest element (given any element z , z + 1 is larger). Additionally, an order can be Dedekind-complete, see § Axiomatic approach . The uniqueness result at

1827-495: Is what mathematicians and physicists did during several centuries before the first formal definitions were provided in the second half of the 19th century. See Construction of the real numbers for details about these formal definitions and the proof of their equivalence. The real numbers form an ordered field . Intuitively, this means that methods and rules of elementary arithmetic apply to them. More precisely, there are two binary operations , addition and multiplication , and

1890-640: The compiler . Previous properties do not distinguish real numbers from rational numbers . This distinction is provided by Dedekind completeness , which states that every set of real numbers with an upper bound admits a least upper bound . This means the following. A set of real numbers S {\displaystyle S} is bounded above if there is a real number u {\displaystyle u} such that s ≤ u {\displaystyle s\leq u} for all s ∈ S {\displaystyle s\in S} ; such

1953-422: The natural numbers 0 and 1 . This allows identifying any natural number n with the sum of n real numbers equal to 1 . This identification can be pursued by identifying a negative integer − n {\displaystyle -n} (where n {\displaystyle n} is a natural number) with the additive inverse − n {\displaystyle -n} of

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2016-570: The square roots of −1 . The real numbers include the rational numbers , such as the integer −5 and the fraction 4 / 3 . The rest of the real numbers are called irrational numbers . Some irrational numbers (as well as all the rationals) are the root of a polynomial with integer coefficients, such as the square root √2 = 1.414... ; these are called algebraic numbers . There are also real numbers which are not, such as π = 3.1415... ; these are called transcendental numbers . Real numbers can be thought of as all points on

2079-505: The Archimedean property). Then, supposing by induction that the decimal fraction D i {\displaystyle D_{i}} has been defined for i < n , {\displaystyle i<n,} one defines a n {\displaystyle a_{n}} as the largest digit such that D n − 1 + a n / 10 n ≤

2142-413: The adjustment of a price P in response to non-zero excess demand for a product as where δ {\displaystyle \delta } is the positive speed-of-adjustment parameter which is less than or equal to 1, and where f {\displaystyle f} is the excess demand function . Continuous time makes use of differential equations . For example, the adjustment of

2205-529: The axiomatic definition and are thus equivalent. Real numbers are completely characterized by their fundamental properties that can be summarized by saying that they form an ordered field that is Dedekind complete . Here, "completely characterized" means that there is a unique isomorphism between any two Dedekind complete ordered fields, and thus that their elements have exactly the same properties. This implies that one can manipulate real numbers and compute with them, without knowing how they can be defined; this

2268-441: The axioms of Zermelo–Fraenkel set theory including the axiom of choice (ZFC)—the standard foundation of modern mathematics. In fact, some models of ZFC satisfy CH, while others violate it. As a topological space, the real numbers are separable . This is because the set of rationals, which is countable, is dense in the real numbers. The irrational numbers are also dense in the real numbers, however they are uncountable and have

2331-420: The cardinality of the power set of the set of the natural numbers. The statement that there is no subset of the reals with cardinality strictly greater than ℵ 0 {\displaystyle \aleph _{0}} and strictly smaller than c {\displaystyle {\mathfrak {c}}} is known as the continuum hypothesis (CH). It is neither provable nor refutable using

2394-411: The classical definitions of limits , continuity and derivatives . The set of real numbers, sometimes called "the reals", is traditionally denoted by a bold R , often using blackboard bold , ⁠ R {\displaystyle \mathbb {R} } ⁠ . The adjective real , used in the 17th century by René Descartes , distinguishes real numbers from imaginary numbers such as

2457-439: The construction of the reals from surreal numbers , since that construction starts with a proper class that contains every ordered field (the surreals) and then selects from it the largest Archimedean subfield. The set of all real numbers is uncountable , in the sense that while both the set of all natural numbers {1, 2, 3, 4, ...} and the set of all real numbers are infinite sets , there exists no one-to-one function from

2520-652: The correctness of proofs of theorems involving real numbers. The realization that a better definition was needed, and the elaboration of such a definition was a major development of 19th-century mathematics and is the foundation of real analysis , the study of real functions and real-valued sequences . A current axiomatic definition is that real numbers form the unique ( up to an isomorphism ) Dedekind-complete ordered field . Other common definitions of real numbers include equivalence classes of Cauchy sequences (of rational numbers), Dedekind cuts , and infinite decimal representations . All these definitions satisfy

2583-464: The difference signal is much smaller than that of the original discrete signal treated as independent samples. DPCM was invented by C. Chapin Cutler at Bell Labs in 1950; his patent includes both methods. The encoder performs the function of differentiation; a quantizer precedes the differencing of adjacent quantized samples; the decoder is an accumulator, which if correctly initialized exactly recovers

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2646-417: The distance | x n − x | is less than ε for n greater than N . Every convergent sequence is a Cauchy sequence, and the converse is true for real numbers, and this means that the topological space of the real numbers is complete. The set of rational numbers is not complete. For example, the sequence (1; 1.4; 1.41; 1.414; 1.4142; 1.41421; ...), where each term adds a digit of the decimal expansion of

2709-487: The end of that section justifies using the word "the" in the phrase "complete ordered field" when this is the sense of "complete" that is meant. This sense of completeness is most closely related to the construction of the reals from Dedekind cuts, since that construction starts from an ordered field (the rationals) and then forms the Dedekind-completion of it in a standard way. These two notions of completeness ignore

2772-471: The entire real number line , or depending on the context, over some subset of it such as the non-negative reals. Thus time is viewed as a continuous variable . A continuous signal or a continuous-time signal is a varying quantity (a signal ) whose domain, which is often time, is a continuum (e.g., a connected interval of the reals ). That is, the function's domain is an uncountable set . The function itself need not to be continuous . To contrast,

2835-427: The field structure. However, an ordered group (in this case, the additive group of the field) defines a uniform structure, and uniform structures have a notion of completeness ; the description in § Completeness is a special case. (We refer to the notion of completeness in uniform spaces rather than the related and better known notion for metric spaces , since the definition of metric space relies on already having

2898-800: The first decimal representation, all a n {\displaystyle a_{n}} are zero for n > h , {\displaystyle n>h,} and, in the second representation, all a n {\displaystyle a_{n}} 9. (see 0.999... for details). In summary, there is a bijection between the real numbers and the decimal representations that do not end with infinitely many trailing 9. The preceding considerations apply directly for every numeral base B ≥ 2 , {\displaystyle B\geq 2,} simply by replacing 10 with B {\displaystyle B} and 9 with B − 1. {\displaystyle B-1.} A main reason for using real numbers

2961-556: The identification of natural numbers with some real numbers is justified by the fact that Peano axioms are satisfied by these real numbers, with the addition with 1 taken as the successor function . Formally, one has an injective homomorphism of ordered monoids from the natural numbers N {\displaystyle \mathbb {N} } to the integers Z , {\displaystyle \mathbb {Z} ,} an injective homomorphism of ordered rings from Z {\displaystyle \mathbb {Z} } to

3024-408: The least upper bound of the decimal fractions that are obtained by truncating the sequence: given a positive integer n , the truncation of the sequence at the place n is the finite partial sum The real number x defined by the sequence is the least upper bound of the D n , {\displaystyle D_{n},} which exists by Dedekind completeness. Conversely, given

3087-605: The metric topology as epsilon-balls. The Dedekind cuts construction uses the order topology presentation, while the Cauchy sequences construction uses the metric topology presentation. The reals form a contractible (hence connected and simply connected ), separable and complete metric space of Hausdorff dimension  1. The real numbers are locally compact but not compact . There are various properties that uniquely specify them; for instance, all unbounded, connected, and separable order topologies are necessarily homeomorphic to

3150-464: The phrase "the complete Archimedean field". This sense of completeness is most closely related to the construction of the reals from Cauchy sequences (the construction carried out in full in this article), since it starts with an Archimedean field (the rationals) and forms the uniform completion of it in a standard way. But the original use of the phrase "complete Archimedean field" was by David Hilbert , who meant still something else by it. He meant that

3213-399: The positive square root of 2, is Cauchy but it does not converge to a rational number (in the real numbers, in contrast, it converges to the positive square root of 2). The completeness property of the reals is the basis on which calculus , and more generally mathematical analysis , are built. In particular, the test that a sequence is a Cauchy sequence allows proving that a sequence has

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3276-768: The quantized signal. The incorporation of the decoder inside the encoder allows quantization of the differences, including nonlinear quantization, in the encoder, as long as an approximate inverse quantizer is used appropriately in the receiver. When the quantizer is uniform, the decoder regenerates the differences implicitly, as in this simple diagram that Cutler showed: Continuous-time In mathematical dynamics, discrete time and continuous time are two alternative frameworks within which variables that evolve over time are modeled. Discrete time views values of variables as occurring at distinct, separate "points in time", or equivalently as being unchanged throughout each non-zero region of time ("time period")—that is, time

3339-492: The rational numbers Q , {\displaystyle \mathbb {Q} ,} and an injective homomorphism of ordered fields from Q {\displaystyle \mathbb {Q} } to the real numbers R . {\displaystyle \mathbb {R} .} The identifications consist of not distinguishing the source and the image of each injective homomorphism, and thus to write These identifications are formally abuses of notation (since, formally,

3402-533: The rational numbers an ordered subfield of the real numbers R . {\displaystyle \mathbb {R} .} The Dedekind completeness described below implies that some real numbers, such as 2 , {\displaystyle {\sqrt {2}},} are not rational numbers; they are called irrational numbers . The above identifications make sense, since natural numbers, integers and real numbers are generally not defined by their individual nature, but by defining properties ( axioms ). So,

3465-464: The real number identified with n . {\displaystyle n.} Similarly a rational number p / q {\displaystyle p/q} (where p and q are integers and q ≠ 0 {\displaystyle q\neq 0} ) is identified with the division of the real numbers identified with p and q . These identifications make the set Q {\displaystyle \mathbb {Q} } of

3528-436: The real numbers form a real closed field . This implies the real version of the fundamental theorem of algebra , namely that every polynomial with real coefficients can be factored into polynomials with real coefficients of degree at most two. The most common way of describing a real number is via its decimal representation , a sequence of decimal digits each representing the product of an integer between zero and nine times

3591-417: The real numbers form the largest Archimedean field in the sense that every other Archimedean field is a subfield of R {\displaystyle \mathbb {R} } . Thus R {\displaystyle \mathbb {R} } is "complete" in the sense that nothing further can be added to it without making it no longer an Archimedean field. This sense of completeness is most closely related to

3654-429: The real numbers to the natural numbers. The cardinality of the set of all real numbers is denoted by c . {\displaystyle {\mathfrak {c}}.} and called the cardinality of the continuum . It is strictly greater than the cardinality of the set of all natural numbers (denoted ℵ 0 {\displaystyle \aleph _{0}} and called 'aleph-naught' ), and equals

3717-496: The resulting sequence of digits is called a decimal representation of x . Another decimal representation can be obtained by replacing ≤ x {\displaystyle \leq x} with < x {\displaystyle <x} in the preceding construction. These two representations are identical, unless x is a decimal fraction of the form m 10 h . {\textstyle {\frac {m}{10^{h}}}.} In this case, in

3780-425: The same cardinality as the reals. The real numbers form a metric space : the distance between x and y is defined as the absolute value | x − y | . By virtue of being a totally ordered set, they also carry an order topology ; the topology arising from the metric and the one arising from the order are identical, but yield different presentations for the topology—in the order topology as ordered intervals, in

3843-574: The signal is integrable over any finite interval (for example, the t − 1 {\displaystyle t^{-1}} signal is not integrable at infinity, but t − 2 {\displaystyle t^{-2}} is). Any analog signal is continuous by nature. Discrete-time signals , used in digital signal processing , can be obtained by sampling and quantization of continuous signals. Continuous signal may also be defined over an independent variable other than time. Another very common independent variable

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3906-415: The use of continuous time. In a continuous time context, the value of a variable y at an unspecified point in time is denoted as y ( t ) or, when the meaning is clear, simply as y . Discrete time makes use of difference equations , also known as recurrence relations. An example, known as the logistic map or logistic equation, is in which r is a parameter in the range from 2 to 4 inclusive, and x

3969-481: The value of income observed in the third time period, etc. Moreover, when a researcher attempts to develop a theory to explain what is observed in discrete time, often the theory itself is expressed in discrete time in order to facilitate the development of a time series or regression model. On the other hand, it is often more mathematically tractable to construct theoretical models in continuous time, and often in areas such as physics an exact description requires

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