Giant brains; or, Machines that thinkBerkeley, Edmund Callis
Science
Giant brains; or, Machines that think
Berkeley, Edmund Callis
Computers -- Popular works
Up to this point in this chapter, the author has tried to tell the
story of the differential analyzer in plain words. But for reading
this section, a little knowledge of calculus is necessary. (See also
Supplement 2.) If you wish, skip this section, and go on to the next
one.
We have described how varying quantities, or _variables_, are operated
on in the machine in one way or another: adding, subtracting,
multiplying by a constant, referring to a table, and integrating. What
do we do if we wish to multiply 2 variables together? A neat trick is
to use the formula:
_xy_ = ⌠_x dy_ + ⌠_y dx_
⌡ ⌡
To multiply in this way requires 2 integrators and 1 adder. The
connections that are made between them are as follows:
Shaft _x_ To Integrator 1, Screw
Shaft _x_ To Integrator 2, Disc
Shaft _y_ To Integrator 1, Disc
Shaft _y_ To Integrator 2, Screw
Integrator 1, Wheel To Adder 1, Input 1
Integrator 2, Wheel To Adder 1, Input 2
Adder 1, Output To Shaft expressing _xy_
A product of 2 variables _under the integral sign_ can be obtained a
little more easily, because of the curious powers of the differential
analyzer. Thus, if it is desired to obtain ∫_xy dt_, we can use the
formula:
┌ ┐
⌠ ⌠ │ ⌠ │
│_xy dt_ = │_x d_│ │ _y dt_ │
⌡ ⌡ │ ⌡ │
└ ┘
and this operation does not require an adder. The connections are as
follows:
Shaft _t_ To Integrator 1, Disc
Shaft _y_ To Integrator 1, Screw
Integrator 1, Wheel To Integrator 2, Disc
Shaft _x_ To Integrator 2, Screw
Integrator 2, Wheel To Shaft expressing ∫_xy dt_
In order to get the quotient of 2 variables, _x_/_y_, we can use some
more tricks. First, the _reciprocal_ 1/_y_ can be obtained by using the
two _simultaneous equations_:
⌠ 1 ⌠ 1
│ ———— _dy_ = log _y_, │ - ———— _d_(log _y_) = _y_
⌡ _y_ ⌡ _y_
The connections are as follows:
Shaft _y_ To Integrator 1, Disc AND TO Integrator 2, Wheel
Shaft log _y_ To Integrator 1, Wheel AND TO Integrator 2, Disc
Shaft 1/_y_ To Integrator 1, Screw, AND NEGATIVELY
TO Integrator 2, Screw
In order to get _x_/_y_, we can then multiply _x_ by 1/_y_. We see that
this setup gives us log _y_ for nothing, that is, without needing more
integrators or other equipment. Clearly, other tricks like this will
give sin _x_, cos _x_, _eˣ_, _x²_, and other functions that satisfy
simple differential equations.
An integral of a reciprocal can be obtained even more directly. Suppose
that
⌠ 1
_y_ = │ ————— _dt_
⌡ _x_
1
Then _Dₜy_ = —————, _D{_y} t_ = _x_,
_x_
Public-domain text, read in full here on John Shaqi.
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