Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

Analog vs. Digital Representation of Numbers: A Computer Science Distinction, Study Guides, Projects, Research of Art

The distinction between analog and digital representation of numbers in computer science. According to Goodman, analog representation is dense and undifferentiated, while digital representation is differentiated and non-dense. However, there are cases of analog representation that are differentiated and non-dense. The document also discusses the representation of numbers by physical magnitudes in computers and how to distinguish physical magnitudes suitable for analog representation from those that are not.

Typology: Study Guides, Projects, Research

2021/2022

Uploaded on 09/12/2022

myas
myas šŸ‡¬šŸ‡§

5

(9)

216 documents

1 / 7

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Analog and Digital
DAVI LEWIS
PRINCETON UNIVERSiTY
The distinction between analog and digital representation
of
numbers is well understood in practice. Yet its analysis
has proved
troublesome. I shall first consider the account given by Nelson
Goodman
and offer examples
to show that some cases of analog
representation are mis-classified, on Goodman's account,
as digital.
Then I shall offer alternative
analyses
of analog and digital repre-
sentation.
1. DIFFERENTIATED ANALOG REPRESENTATION
According to Goodman in Languages of Art,' the distinction
between digital and analog representation
of numbers
is as follows.
Digital representation is differentiated.
Given a number-represent-
ing "mark"-an inscription, vocal utterance, pointer position, elec-
trical pulse, or whatever-it is theoretically possible, despite our
inability to make infinitely precise measurements, to determine
exactly which other marks are copies of the given mark and to
determine
exactly
which number
(or numbers)
the given mark and
its copies represent. Analog representation,
on the other
hand, fails
to be differentiated because
it is dense. For any two marks
that are
not copies, no matter how nearly indistinguishable
they are, there
could be a mark intermediate
between them which is a copy of
neither; and for any two marks that are not copies and represent
different
numbers,
no matter
how close the numbers
are,
there
is an
1 (Indianapolis and New York: Bobbs-Merrill, 1968), sections IV.2,
IV.5, and IV.8. I have combined Goodman's syntactic and semantic differen-
tiation and combined his syntactic and semantic density; and I have not
defined differentiation
and density in full generality, but only as applied to
the representation
of numbers.
321
This content downloaded from 130.132.173.105 on Tue, 4 Jun 2013 12:11:56 PM
All use subject to JSTOR Terms and Conditions
pf3
pf4
pf5

Partial preview of the text

Download Analog vs. Digital Representation of Numbers: A Computer Science Distinction and more Study Guides, Projects, Research Art in PDF only on Docsity!

AnalogandDigital

DAVI LEWIS

PRINCETON UNIVERSiTY

The distinction between analog and digital representationof

numbersis well understoodin practice. Yet its analysis has proved

troublesome. I shall first consider the account given by Nelson

Goodman and

offer examples

to show

that some

cases of analog

representationare mis-classified,on Goodman'saccount, as digital.

Then I shall offer alternativeanalyses of analog and digital repre-

sentation.

  1. DIFFERENTIATEDANALOG REPRESENTATION

Accordingto Goodmanin Languages of Art,' the distinction

between digital and analog representationof numbersis as follows.

Digital representationis differentiated.

Given a number-represent-

ing "mark"-an inscription,vocal utterance, pointer position, elec-

trical pulse, or whatever-it is theoretically possible, despite our

inability to make infinitely precise measurements, to determine

exactly which other marks are copies

of the given mark and to

determineexactly which number (or numbers) the given markand

its copies represent.Analog representation,on the other hand, fails

to be differentiatedbecause it is dense. For any two marksthat are

not copies, no matter how nearly indistinguishablethey are, there

could be

a mark intermediatebetween them which is a copy

of

neither; and

for any

two marks that are not copies

and represent

differentnumbers,no matter

how close the numbersare, there is an

1

(Indianapolis

and New York: Bobbs-Merrill, 1968), sections IV.2,

IV.5, and IV.8. I have combined Goodman's syntactic and semantic differen-

tiation and combined his syntactic and semantic density;

and I have not

defined differentiation and density in full generality, but only as applied to

the representationof numbers.

321

322

NOOS

intermediate

number which would be representedby a mark that

is a copy of neither.

It is true and importantthat digital representationis

differen-

tiated, and that it differs thereby from the

many cases of analog

representationthat are undifferentiatedand dense:

those cases in

which all real

numbers in some range are represented by values

of some continuouslyvariable physical magnitude such as voltage.

But there are other cases:

representationthat is as differentiated

and non-dense as any digital representation and

yet is analog

ratherthan digital representation.Here

are two examplesof differ-

entiated analog representation.If accepted, they show

that Good-

man's distinction,interestingthough it is in its own right,

does not

coincide

with the analog-digitaldistinctionof ordinarytechnological

language.

Example 1: ordinary

electrical analog computers sometimes

receive their numerical inputs in the

form of settings of variable

resistors.A setting of 137 ohms representsthe

number 137, and so

on. There are two ways these variable resistorsmight work.

In the

first case, a contact slides smoothly along a wire with

constant

resistanceper unit length. In the second case, there is a switch

with

a very large

but finite number of positions, and at each position a

certain number of,

say, 1-ohm fixed resistorsare in the circuit and

the rest are bypassed.I do

not know which sort of variable resistor

is used in practice. In either case,

the computer

is an analog com-

puter and its representationof numbersby electrical resistances

is

analog representation.

In the sliding-contactcase the representation

is

undifferentiatedand dense; but in the multi-positionswitch case

the representation

is differentiatedand non-dense, yet analog and

not digital.

Example 2: we might

build a device which works in the fol-

lowing way to multiplytwo

numbersx and y.

There are four recep-

tacles: W, X, Y,

and Z. We put a large amountof some sort of fluid

-liquid, powder,

or little pellets-in

W. We put x grams of fluid in

X, y gramsin Y, and none in Z. At the bottom

of X is a valve,

allow-

ing

fluid to drain at a constantrate from X into a wastebasket.At

the bottom

of W is a spring-loaded

valve, allowing fluid to drain

from W

into Z at a rate proportional

to the amount of fluid in Y.

For instance, if Y contains 17 grams

of fluid,

then the rate of drain-

age

from W is 17 times the constant rate of drainage from X. We

simultaneouslyopen

the valves on W and X; as soon as X is empty,

324 NOeS

voltages vo,

. .. , V35.

(We take the magnitude to be undefined if

any vi

is 0.)

X

-5t)

35

V

Iif vj(s't)

0-

V(st) = Z= 2t

iO

{

ifv:(st) <

= Z3=02'

Vv+

s 02] j=o L 2vis(s,t)

Analog representation,then, is representationof numbersby phys-

ical magnitudesof a special kind. Resistances,voltages, amountsof

fluid, for instance, are physical magnitudesof the proper kind for

analog representation;but V, as defined above, is a physical magni-

tude not of the properkind for analog representation.How may we

distinguish physical magnitudes that are

of the proper

kind for

analog representationfrom those that are not?

We might try saying that the magnitudessuitable for analog

representationare those that are expressed by primitive terms in

the language of physics. This will not do as it stands: a term is

primitive not relative to a language but relative to some chosen

definitionalreconstructionthereof. Any physical magnitude could

be expressed by a primitive term in a reconstruction designed ad

hoc, and there is no physical magnitudethat must be expressedby

a primitive term. We may, however,

define a primitive magnitude

as any physical magnitude

that is expressedby a primitive term in

some good reconstructionof the language of physics-good accord-

ing to our ordinarystandardsof economy, elegance, convenience,

familiarity.This definitionis scarcely precise, but furtherprecision

calls for a better general understandingof our standardsof good-

ness for definitionalreconstructions,not for more work on the topic

at hand.

Even taking the definitionof primitive magnitudes as under-

stood, however,it is not quite right to say that analogrepresentation

is representationby primitivemagnitudes.Sometimesit is represen-

tation by physical magnitudes

that are almost primitive: definable

in some simple way,

with little use of arithmetical operations,in

terms of one or a few primitivemagnitudes.(Furtherprecisionhere

awaits a better general understanding

of simplicity

of definitions.)

Products

of a currentand a voltage

between the same two points in

a circuit, or logarithmicallyscaled luminosities,seem unlikely

to be

expressedby primitive terms in any good reconstruction.But they

ANALOG AND DIGITAL

325

are almostprimitive,and representationof numbersby them

would

be analog representation.Of more interestfor our present purposes,

rounded-offprimitivemagnitudesare almost

primitive.Such are the

number-representingmagnitudesin our two examples

of differen-

tiated analog representation:resistancerounded to the nearest

ohm

and amount

of fluid rounded to the nearest gram. We use the

rounded-off

magnitudesbecause, in practice, our resistorsor pellets

are not exactly one ohm or gram

each; so if we take the resistance

of 17 resistorsor the mass

of 17 pellets to representthe number 17

(rather than some unknown

number close to 17) we are using not

primitivemagnitudesbut almost

primitivemagnitudes.

The commonplacedefinitionof analog representation

as repre-

sentation by physical magnitudesis correct, so far as I can

see, if

taken as follows: analog representationof numbersis representation

of numbers by physical magnitudes

that are either primitive or

almost primitiveaccordingto the

definitions above.

3. DIGITAL REPRESENTATION

It remains to analyze digital representation,

for not all non-

analog representationof numbers is digital. (It

may be, however,

that all practicallyuseful representationof

numbersis either analog

or digital.) If numberswere representedby the physical

magnitude

defined as follows in terms of voltages between specified pairs

of

wires

in some circuit, the representationwould be neither analog

nor digital (nor

useful).

35

P(st) = L logo( sinh(V/vi(s,t)))

Digital representationis representationby physical magnitudes

of

another special

kind, the kind exemplified

above by

V.

We may first define an n-valued unidigital magnitude

as a

physical magnitude

having as values the numbers 0, 1,.. ., n - 1

whose values depend by

a step

function on the values of some

primitive magnitude. Let U be

an n-valued unidigital

magnitude;

then there is a primitivemagnitude B which we may call the

basis

of U and there is an increasingsequence of numbersa,,. .. ., a.-

which we may call the transitionpoints of U and, for each system

s

on which

U is defined,

there is a part p of s such that U is defined

as follows on

s.

ANALOG AND DIGITAL 327

more complicated ways upon their unidigital magnitudes. Most

often, the unidigitalmagnitudesare not merely few-valuedbut two-

valued; but not so, for instance, in an odometer in which the uni-

digital

magnitudes are ten-valued step functions of angles of rota-

tion of the wheels.

I suggest, therefore,that we can define digital representation

of numbers as representationof numbers by differentiatedmulti-

digital magnitudes.