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| Boilerpipe Text | From Wikipedia, the free encyclopedia
Superposition of almost
plane waves
(diagonal lines) from a distant source and waves from the
wake
of the
ducks
.
Linearity
holds only approximately in water and only for waves with small amplitudes relative to their wavelengths.
Rolling
motion as superposition of two motions. The rolling motion of the wheel can be described as a combination of two separate motions:
rotation
without
translation
, and translation without rotation.
The
superposition principle
,
[
1
]
also known as
superposition property
, states that, for all
linear systems
, the net response caused by two or more stimuli is the sum of the responses that would have been caused by each stimulus individually. So that if input
A
produces response
X
, and input
B
produces response
Y
, then input (
A
+
B
) produces response (
X
+
Y
).
A
function
that satisfies the superposition principle is called a
linear function
. Superposition can be defined by two simpler properties:
additivity
and
homogeneity
for
scalar
a
.
This principle has many applications in
physics
and
engineering
because many physical systems can be modeled as linear systems. For example, a
beam
can be modeled as a linear system where the input stimulus is the
load
on the beam and the output response is the
deflection
of the beam. The importance of linear systems is that they are easier to analyze mathematically; there is a large body of mathematical techniques,
frequency-domain
linear transform
methods such as
Fourier
and
Laplace
transforms, and
linear operator
theory, that are applicable. Because physical systems are generally only approximately linear, the superposition principle is only an approximation of the true physical behavior.
The superposition principle applies to
any
linear system, including
algebraic equations
,
linear differential equations
, and
systems of equations
of those forms. The stimuli and responses could be numbers, functions, vectors,
vector fields
, time-varying signals, or any other object that satisfies
certain axioms
. Note that when vectors or vector fields are involved, a superposition is interpreted as a
vector sum
. If the superposition holds, then it automatically also holds for all linear operations applied on these functions (due to definition), such as gradients, differentials or integrals (if they exist).
Relation to Fourier analysis and similar methods
[
edit
]
By writing a very general stimulus (in a linear system) as the superposition of stimuli of a specific and simple form, often the response becomes easier to compute.
For example, in
Fourier analysis
, the stimulus is written as the superposition of infinitely many
sinusoids
. Due to the superposition principle, each of these sinusoids can be analyzed separately, and its individual response can be computed. (The response is itself a sinusoid, with the same frequency as the stimulus, but generally a different
amplitude
and
phase
.) According to the superposition principle, the response to the original stimulus is the sum (or integral) of all the individual sinusoidal responses.
As another common example, in
Green's function analysis
, the stimulus is written as the superposition of infinitely many
impulse functions
, and the response is then a superposition of
impulse responses
.
Fourier analysis is particularly common for
waves
. For example, in electromagnetic theory, ordinary
light
is described as a superposition of
plane waves
(waves of fixed
frequency
,
polarization
, and direction). As long as the superposition principle holds (which is often but not always; see
nonlinear optics
), the behavior of any light wave can be understood as a superposition of the behavior of these simpler
plane waves
.
Two waves traveling in opposite directions across the same medium combine linearly. In this animation, both waves have the same wavelength and the sum of amplitudes results in a
standing wave
.
Two waves permeate without influencing each other
Waves are usually described by variations in some parameters through space and time—for example, height in a water wave,
pressure
in a sound wave, or the
electromagnetic field
in a light wave. The value of this parameter is called the
amplitude
of the wave and the wave itself is a
function
specifying the amplitude at each point.
In any system with waves, the waveform at a given time is a function of the
sources
(i.e., external forces, if any, that create or affect the wave) and
initial conditions
of the system. In many cases (for example, in the classic
wave equation
), the equation describing the wave is linear. When this is true, the superposition principle can be applied. That means that the net amplitude caused by two or more waves traversing the same space is the sum of the amplitudes that would have been produced by the individual waves separately. For example, two waves traveling towards each other will pass right through each other without any distortion on the other side. (See image at the top.)
Wave diffraction vs. wave interference
[
edit
]
With regard to wave superposition,
Richard Feynman
wrote:
[
2
]
No-one has ever been able to define the difference between
interference
and diffraction satisfactorily. It is just a question of usage, and there is no specific, important physical difference between them. The best we can do, roughly speaking, is to say that when there are only a few sources, say two, interfering, then the result is usually called interference, but if there is a large number of them, it seems that the word diffraction is more often used.
Other authors elaborate:
[
3
]
The difference is one of convenience and convention. If the waves to be superposed originate from a few coherent sources, say, two, the effect is called interference. On the other hand, if the waves to be superposed originate by subdividing a wavefront into infinitesimal coherent wavelets (sources), the effect is called diffraction. That is the difference between the two phenomena is [a matter] of degree only, and basically, they are two limiting cases of superposition effects.
Yet another source concurs:
[
4
]
In as much as the interference fringes observed by Young were the diffraction pattern of the double slit, this chapter [Fraunhofer diffraction] is, therefore, a continuation of Chapter 8 [Interference]. On the other hand, few opticians would regard the Michelson interferometer as an example of diffraction. Some of the important categories of diffraction relate to the interference that accompanies division of the wavefront, so Feynman's observation to some extent reflects the difficulty that we may have in distinguishing division of amplitude and division of wavefront.
The phenomenon of
interference
between waves is based on this idea. When two or more waves traverse the same space, the net amplitude at each point is the sum of the amplitudes of the individual waves. In some cases, such as in
noise-canceling headphones
, the summed variation has a smaller
amplitude
than the component variations; this is called
destructive interference
. In other cases, such as in a
line array
, the summed variation will have a bigger amplitude than any of the components individually; this is called
constructive interference
.
green wave traverse to the right while blue wave traverse left, the net red wave amplitude at each point is the sum of the amplitudes of the individual waves.
combined
waveform
wave 1
wave 2
Two waves in phase
Two waves 180° out
of phase
Departures from linearity
[
edit
]
In most realistic physical situations, the equation governing the wave is only approximately linear. In these situations, the superposition principle only approximately holds. As a rule, the accuracy of the approximation tends to improve as the amplitude of the wave gets smaller. For examples of phenomena that arise when the superposition principle does not exactly hold, see the articles
nonlinear optics
and
nonlinear acoustics
.
Quantum superposition
[
edit
]
In
quantum mechanics
, a principal task is to compute how a certain type of wave
propagates
and behaves. The wave is described by a
wave function
, and the equation governing its behavior is called the
Schrödinger equation
. A primary approach to computing the behavior of a wave function is to write it as a superposition (called "
quantum superposition
") of (possibly infinitely many) other wave functions of a certain type—
stationary states
whose behavior is particularly simple. Since the Schrödinger equation is linear, the behavior of the original wave function can be computed through the superposition principle this way.
[
5
]
The projective nature of quantum-mechanical-state space causes some confusion, because a quantum mechanical state is a
ray
in
projective Hilbert space
, not a
vector
.
According to
Dirac
: "
if the ket vector corresponding to a state is multiplied by any complex number, not zero, the resulting ket vector will correspond to the same state
[italics in original]."
[
6
]
However, the sum of two rays to compose a superpositioned ray is undefined. As a result, Dirac himself
uses ket vector representations of states to decompose or split,
for example, a ket vector
into superposition of component ket vectors
as:
where the
.
The equivalence class of the
allows a well-defined meaning to be given to the relative phases of the
.,
[
7
]
but an absolute (same amount
for all the
) phase change on the
does not affect the equivalence class of the
.
There are exact correspondences between the superposition presented in the main on this page and the quantum superposition.
For example, the
Bloch sphere
to represent
pure state
of a
two-level quantum mechanical system
(
qubit
) is also known as the
Poincaré sphere
representing different types of classical
pure
polarization
states.
Nevertheless, on the topic of quantum superposition,
Kramers
writes: "The principle of [quantum] superposition ... has no analogy in classical physics"
[
citation needed
]
.
According to
Dirac
: "
the superposition that occurs in quantum mechanics is of an essentially different nature from any occurring in the classical theory
[italics in original]."
[
8
]
Though reasoning by Dirac includes atomicity of observation, which is valid, as for phase,
they actually mean phase translation symmetry derived from
time translation symmetry
, which is also
applicable to classical states, as shown above with classical polarization states.
Boundary-value problems
[
edit
]
A common type of boundary value problem is (to put it abstractly) finding a function
y
that satisfies some equation
with some boundary specification
For example, in
Laplace's equation
with
Dirichlet boundary conditions
,
F
would be the
Laplacian
operator in a region
R
,
G
would be an operator that restricts
y
to the boundary of
R
, and
z
would be the function that
y
is required to equal on the boundary of
R
.
In the case that
F
and
G
are both linear operators, then the superposition principle says that a superposition of solutions to the first equation is another solution to the first equation:
while the boundary values superpose:
Using these facts, if a list can be compiled of solutions to the first equation, then these solutions can be carefully put into a superposition such that it will satisfy the second equation. This is one common method of approaching boundary-value problems.
Additive state decomposition
[
edit
]
Consider a simple linear system:
By the superposition principle, the system can be decomposed into
with
Superposition principle is only available for linear systems. However, the
additive state decomposition
can be applied to both linear and nonlinear systems. Next, consider a nonlinear system
where
is a nonlinear function. By the additive state decomposition, the system can be additively decomposed into
with
This decomposition can help to simplify controller design.
Other example applications
[
edit
]
In
electrical engineering
, in a
linear circuit
, the input (an applied time-varying voltage signal) is related to the output (a current or voltage anywhere in the circuit) by a linear transformation. Thus, a superposition (i.e., sum) of input signals will yield the superposition of the responses.
In
physics
,
Maxwell's equations
imply that the (possibly time-varying) distributions of
charges
and
currents
are related to the
electric
and
magnetic fields
by a linear transformation. Thus, the superposition principle can be used to simplify the computation of fields that arise from a given charge and current distribution. The principle also applies to other linear differential equations arising in physics, such as the
heat equation
.
In
engineering
, superposition is used to solve for beam and structure
deflections
of combined loads when the effects are linear (i.e., each load does not affect the results of the other loads, and the effect of each load does not significantly alter the geometry of the structural system).
[
9
]
Mode superposition method uses the natural frequencies and mode shapes to characterize the dynamic response of a linear structure.
[
10
]
In
hydrogeology
, the superposition principle is applied to the
drawdown
of two or more
water wells
pumping in an ideal
aquifer
. This principle is used in the
analytic element method
to develop analytical elements capable of being combined in a single model.
In
process control
, the superposition principle is used in
model predictive control
.
The superposition principle can be applied when small deviations from a known solution to a nonlinear system are analyzed by
linearization
.
According to
Léon Brillouin
, the principle of superposition was first stated by
Daniel Bernoulli
in 1753: "The general motion of a vibrating system is given by a superposition of its proper vibrations." The principle was rejected by
Leonhard Euler
and then by
Joseph Lagrange
. Bernoulli argued that any sonorous body could vibrate in a series of simple modes with a well-defined frequency of oscillation. As he had earlier indicated, these modes could be superposed to produce more complex vibrations. In his reaction to Bernoulli's memoirs, Euler praised his colleague for having best developed the physical part of the problem of vibrating strings, but denied the generality and superiority of the multi-modes solution.
[
11
]
Later it became accepted, largely through the work of
Joseph Fourier
.
[
12
]
Additive state decomposition
Beat (acoustics)
Coherence (physics)
Convolution
Green's function
Impulse response
Interference
Quantum superposition
^
The Penguin Dictionary of Physics, ed. Valerie Illingworth, 1991, Penguin Books, London.
^
Lectures in Physics, Vol, 1, 1963, pg. 30-1, Addison Wesley Publishing Company Reading, Mass
[1]
^
N. K. VERMA,
Physics for Engineers
, PHI Learning Pvt. Ltd., Oct 18, 2013, p. 361.
[2]
^
Tim Freegarde,
Introduction to the Physics of Waves
, Cambridge University Press, Nov 8, 2012.
[3]
^
Quantum Mechanics,
Kramers, H.A.
publisher Dover, 1957, p. 62
ISBN
978-0-486-66772-0
^
Dirac, P. A. M.
(1958).
The Principles of Quantum Mechanics
, 4th edition, Oxford, UK: Oxford University Press, p. 17.
^
Solem, J. C.; Biedenharn, L. C. (1993). "Understanding geometrical phases in quantum mechanics: An elementary example".
Foundations of Physics
.
23
(2):
185–
195.
Bibcode
:
1993FoPh...23..185S
.
doi
:
10.1007/BF01883623
.
S2CID
121930907
.
^
Dirac, P. A. M.
(1958).
The Principles of Quantum Mechanics
, 4th edition, Oxford, UK: Oxford University Press, p. 14.
^
Mechanical Engineering Design, By Joseph Edward Shigley, Charles R. Mischke, Richard Gordon Budynas, Published 2004 McGraw-Hill Professional, p. 192
ISBN
0-07-252036-1
^
Finite Element Procedures, Bathe, K. J., Prentice-Hall, Englewood Cliffs, 1996, p. 785
ISBN
0-13-301458-4
^
Topics on Numerics for Wave Propagation, Basque Center for Applied Mathematics, 2012, Spain,
p. 39
^
Brillouin, L.
(1946).
Wave propagation in Periodic Structures: Electric Filters and Crystal Lattices
, McGraw–Hill, New York, p. 2.
Haberman, Richard (2004).
Applied Partial Differential Equations
. Prentice Hall.
ISBN
978-0-13-065243-0
.
Superposition of sound waves |
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## Contents
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- [(Top)](https://en.wikipedia.org/wiki/Superposition_principle)
- [1 Relation to Fourier analysis and similar methods](https://en.wikipedia.org/wiki/Superposition_principle#Relation_to_Fourier_analysis_and_similar_methods)
- [2 Wave superposition](https://en.wikipedia.org/wiki/Superposition_principle#Wave_superposition)
Toggle Wave superposition subsection
- [2\.1 Wave diffraction vs. wave interference](https://en.wikipedia.org/wiki/Superposition_principle#Wave_diffraction_vs._wave_interference)
- [2\.2 Wave interference](https://en.wikipedia.org/wiki/Superposition_principle#Wave_interference)
- [2\.3 Departures from linearity](https://en.wikipedia.org/wiki/Superposition_principle#Departures_from_linearity)
- [2\.4 Quantum superposition](https://en.wikipedia.org/wiki/Superposition_principle#Quantum_superposition)
- [3 Boundary-value problems](https://en.wikipedia.org/wiki/Superposition_principle#Boundary-value_problems)
- [4 Additive state decomposition](https://en.wikipedia.org/wiki/Superposition_principle#Additive_state_decomposition)
- [5 Other example applications](https://en.wikipedia.org/wiki/Superposition_principle#Other_example_applications)
- [6 History](https://en.wikipedia.org/wiki/Superposition_principle#History)
- [7 See also](https://en.wikipedia.org/wiki/Superposition_principle#See_also)
- [8 References](https://en.wikipedia.org/wiki/Superposition_principle#References)
- [9 Further reading](https://en.wikipedia.org/wiki/Superposition_principle#Further_reading)
- [10 External links](https://en.wikipedia.org/wiki/Superposition_principle#External_links)
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From Wikipedia, the free encyclopedia
Fundamental principle of physics
This article is about the superposition principle in linear systems. For the geologic principle, see [Law of superposition](https://en.wikipedia.org/wiki/Law_of_superposition "Law of superposition"). For other uses, see [Superposition (disambiguation)](https://en.wikipedia.org/wiki/Superposition_\(disambiguation\) "Superposition (disambiguation)").
[](https://en.wikipedia.org/wiki/File:Anas_platyrhynchos_with_ducklings_reflecting_water.jpg)
Superposition of almost [plane waves](https://en.wikipedia.org/wiki/Plane_wave "Plane wave") (diagonal lines) from a distant source and waves from the [wake](https://en.wikipedia.org/wiki/Wake_\(physics\) "Wake (physics)") of the [ducks](https://en.wikipedia.org/wiki/Duck "Duck"). [Linearity](https://en.wikipedia.org/wiki/Linearity "Linearity") holds only approximately in water and only for waves with small amplitudes relative to their wavelengths.
[](https://en.wikipedia.org/wiki/File:Rolling_animation.gif)
[Rolling](https://en.wikipedia.org/wiki/Rolling "Rolling") motion as superposition of two motions. The rolling motion of the wheel can be described as a combination of two separate motions: [rotation](https://en.wikipedia.org/wiki/Rotation "Rotation") without [translation](https://en.wikipedia.org/wiki/Translation_\(geometry\) "Translation (geometry)"), and translation without rotation.
The **superposition principle**,[\[1\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-1) also known as **superposition property**, states that, for all [linear systems](https://en.wikipedia.org/wiki/Linear_system "Linear system"), the net response caused by two or more stimuli is the sum of the responses that would have been caused by each stimulus individually. So that if input *A* produces response *X*, and input *B* produces response *Y*, then input (*A* + *B*) produces response (*X* + *Y*).
A [function](https://en.wikipedia.org/wiki/Function_\(mathematics\) "Function (mathematics)") F ( x ) {\\displaystyle F(x)}  that satisfies the superposition principle is called a [linear function](https://en.wikipedia.org/wiki/Linear_function "Linear function"). Superposition can be defined by two simpler properties: [additivity](https://en.wikipedia.org/wiki/Additive_map "Additive map") F ( x 1 \+ x 2 ) \= F ( x 1 ) \+ F ( x 2 ) {\\displaystyle F(x\_{1}+x\_{2})=F(x\_{1})+F(x\_{2})}  and [homogeneity](https://en.wikipedia.org/wiki/Homogeneous_function "Homogeneous function") F ( a x ) \= a F ( x ) {\\displaystyle F(ax)=aF(x)}  for [scalar](https://en.wikipedia.org/wiki/Scalar_\(mathematics\) "Scalar (mathematics)") a.
This principle has many applications in [physics](https://en.wikipedia.org/wiki/Physics "Physics") and [engineering](https://en.wikipedia.org/wiki/Engineering "Engineering") because many physical systems can be modeled as linear systems. For example, a [beam](https://en.wikipedia.org/wiki/Beam_\(structure\) "Beam (structure)") can be modeled as a linear system where the input stimulus is the [load](https://en.wikipedia.org/wiki/Structural_load "Structural load") on the beam and the output response is the [deflection](https://en.wikipedia.org/wiki/Deflection_\(engineering\) "Deflection (engineering)") of the beam. The importance of linear systems is that they are easier to analyze mathematically; there is a large body of mathematical techniques, [frequency-domain](https://en.wikipedia.org/wiki/Frequency-domain "Frequency-domain") [linear transform](https://en.wikipedia.org/wiki/Linear_transform "Linear transform") methods such as [Fourier](https://en.wikipedia.org/wiki/Fourier_transform "Fourier transform") and [Laplace](https://en.wikipedia.org/wiki/Laplace_transform "Laplace transform") transforms, and [linear operator](https://en.wikipedia.org/wiki/Linear_operator "Linear operator") theory, that are applicable. Because physical systems are generally only approximately linear, the superposition principle is only an approximation of the true physical behavior.
The superposition principle applies to *any* linear system, including [algebraic equations](https://en.wikipedia.org/wiki/Algebraic_equation "Algebraic equation"), [linear differential equations](https://en.wikipedia.org/wiki/Linear_differential_equations "Linear differential equations"), and [systems of equations](https://en.wikipedia.org/wiki/System_of_equations "System of equations") of those forms. The stimuli and responses could be numbers, functions, vectors, [vector fields](https://en.wikipedia.org/wiki/Vector_field "Vector field"), time-varying signals, or any other object that satisfies [certain axioms](https://en.wikipedia.org/wiki/Vector_space "Vector space"). Note that when vectors or vector fields are involved, a superposition is interpreted as a [vector sum](https://en.wikipedia.org/wiki/Vector_sum "Vector sum"). If the superposition holds, then it automatically also holds for all linear operations applied on these functions (due to definition), such as gradients, differentials or integrals (if they exist).
## Relation to Fourier analysis and similar methods
\[[edit](https://en.wikipedia.org/w/index.php?title=Superposition_principle&action=edit§ion=1 "Edit section: Relation to Fourier analysis and similar methods")\]
By writing a very general stimulus (in a linear system) as the superposition of stimuli of a specific and simple form, often the response becomes easier to compute.
For example, in [Fourier analysis](https://en.wikipedia.org/wiki/Fourier_analysis "Fourier analysis"), the stimulus is written as the superposition of infinitely many [sinusoids](https://en.wikipedia.org/wiki/Sine_wave "Sine wave"). Due to the superposition principle, each of these sinusoids can be analyzed separately, and its individual response can be computed. (The response is itself a sinusoid, with the same frequency as the stimulus, but generally a different [amplitude](https://en.wikipedia.org/wiki/Amplitude "Amplitude") and [phase](https://en.wikipedia.org/wiki/Phase_\(waves\) "Phase (waves)").) According to the superposition principle, the response to the original stimulus is the sum (or integral) of all the individual sinusoidal responses.
As another common example, in [Green's function analysis](https://en.wikipedia.org/wiki/Green%27s_function "Green's function"), the stimulus is written as the superposition of infinitely many [impulse functions](https://en.wikipedia.org/wiki/Impulse_function "Impulse function"), and the response is then a superposition of [impulse responses](https://en.wikipedia.org/wiki/Impulse_response "Impulse response").
Fourier analysis is particularly common for [waves](https://en.wikipedia.org/wiki/Wave "Wave"). For example, in electromagnetic theory, ordinary [light](https://en.wikipedia.org/wiki/Light "Light") is described as a superposition of [plane waves](https://en.wikipedia.org/wiki/Plane_wave "Plane wave") (waves of fixed [frequency](https://en.wikipedia.org/wiki/Frequency "Frequency"), [polarization](https://en.wikipedia.org/wiki/Polarization_\(waves\) "Polarization (waves)"), and direction). As long as the superposition principle holds (which is often but not always; see [nonlinear optics](https://en.wikipedia.org/wiki/Nonlinear_optics "Nonlinear optics")), the behavior of any light wave can be understood as a superposition of the behavior of these simpler [plane waves](https://en.wikipedia.org/wiki/Plane_wave "Plane wave").
## Wave superposition
\[[edit](https://en.wikipedia.org/w/index.php?title=Superposition_principle&action=edit§ion=2 "Edit section: Wave superposition")\]
Further information: [Wave](https://en.wikipedia.org/wiki/Wave "Wave") and [Wave equation](https://en.wikipedia.org/wiki/Wave_equation "Wave equation")
[](https://en.wikipedia.org/wiki/File:Standing_wave_2.gif)
Two waves traveling in opposite directions across the same medium combine linearly. In this animation, both waves have the same wavelength and the sum of amplitudes results in a [standing wave](https://en.wikipedia.org/wiki/Standing_wave "Standing wave").
[](https://en.wikipedia.org/wiki/File:Standing_waves1.gif)
Two waves permeate without influencing each other
Waves are usually described by variations in some parameters through space and time—for example, height in a water wave, [pressure](https://en.wikipedia.org/wiki/Pressure "Pressure") in a sound wave, or the [electromagnetic field](https://en.wikipedia.org/wiki/Electromagnetic_field "Electromagnetic field") in a light wave. The value of this parameter is called the [amplitude](https://en.wikipedia.org/wiki/Amplitude "Amplitude") of the wave and the wave itself is a [function](https://en.wikipedia.org/wiki/Function_\(mathematics\) "Function (mathematics)") specifying the amplitude at each point.
In any system with waves, the waveform at a given time is a function of the [sources](https://en.wikipedia.org/wiki/Wave_equation "Wave equation") (i.e., external forces, if any, that create or affect the wave) and [initial conditions](https://en.wikipedia.org/wiki/Initial_condition "Initial condition") of the system. In many cases (for example, in the classic [wave equation](https://en.wikipedia.org/wiki/Wave_equation "Wave equation")), the equation describing the wave is linear. When this is true, the superposition principle can be applied. That means that the net amplitude caused by two or more waves traversing the same space is the sum of the amplitudes that would have been produced by the individual waves separately. For example, two waves traveling towards each other will pass right through each other without any distortion on the other side. (See image at the top.)
### Wave diffraction vs. wave interference
\[[edit](https://en.wikipedia.org/w/index.php?title=Superposition_principle&action=edit§ion=3 "Edit section: Wave diffraction vs. wave interference")\]
With regard to wave superposition, [Richard Feynman](https://en.wikipedia.org/wiki/Richard_Feynman "Richard Feynman") wrote:[\[2\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-2)
> No-one has ever been able to define the difference between [interference](https://en.wikipedia.org/wiki/Interference_\(wave_propagation\) "Interference (wave propagation)") and diffraction satisfactorily. It is just a question of usage, and there is no specific, important physical difference between them. The best we can do, roughly speaking, is to say that when there are only a few sources, say two, interfering, then the result is usually called interference, but if there is a large number of them, it seems that the word diffraction is more often used.
Other authors elaborate:[\[3\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-3)
> The difference is one of convenience and convention. If the waves to be superposed originate from a few coherent sources, say, two, the effect is called interference. On the other hand, if the waves to be superposed originate by subdividing a wavefront into infinitesimal coherent wavelets (sources), the effect is called diffraction. That is the difference between the two phenomena is \[a matter\] of degree only, and basically, they are two limiting cases of superposition effects.
Yet another source concurs:[\[4\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-4)
> In as much as the interference fringes observed by Young were the diffraction pattern of the double slit, this chapter \[Fraunhofer diffraction\] is, therefore, a continuation of Chapter 8 \[Interference\]. On the other hand, few opticians would regard the Michelson interferometer as an example of diffraction. Some of the important categories of diffraction relate to the interference that accompanies division of the wavefront, so Feynman's observation to some extent reflects the difficulty that we may have in distinguishing division of amplitude and division of wavefront.
### Wave interference
\[[edit](https://en.wikipedia.org/w/index.php?title=Superposition_principle&action=edit§ion=4 "Edit section: Wave interference")\]
Main article: [Interference (wave propagation)](https://en.wikipedia.org/wiki/Interference_\(wave_propagation\) "Interference (wave propagation)")
The phenomenon of [interference](https://en.wikipedia.org/wiki/Interference_\(wave_propagation\) "Interference (wave propagation)") between waves is based on this idea. When two or more waves traverse the same space, the net amplitude at each point is the sum of the amplitudes of the individual waves. In some cases, such as in [noise-canceling headphones](https://en.wikipedia.org/wiki/Noise-canceling_headphones "Noise-canceling headphones"), the summed variation has a smaller [amplitude](https://en.wikipedia.org/wiki/Amplitude "Amplitude") than the component variations; this is called *destructive interference*. In other cases, such as in a [line array](https://en.wikipedia.org/wiki/Line_array "Line array"), the summed variation will have a bigger amplitude than any of the components individually; this is called *constructive interference*.
[](https://en.wikipedia.org/wiki/File:Waventerference.gif)
green wave traverse to the right while blue wave traverse left, the net red wave amplitude at each point is the sum of the amplitudes of the individual waves.
| | | |
|---|---|---|
| combined waveform | [](https://en.wikipedia.org/wiki/File:Interference_of_two_waves.svg) | |
| wave 1 | | |
| wave 2 | | |
| | Two waves in phase | Two waves 180° out of phase |
### Departures from linearity
\[[edit](https://en.wikipedia.org/w/index.php?title=Superposition_principle&action=edit§ion=5 "Edit section: Departures from linearity")\]
In most realistic physical situations, the equation governing the wave is only approximately linear. In these situations, the superposition principle only approximately holds. As a rule, the accuracy of the approximation tends to improve as the amplitude of the wave gets smaller. For examples of phenomena that arise when the superposition principle does not exactly hold, see the articles [nonlinear optics](https://en.wikipedia.org/wiki/Nonlinear_optics "Nonlinear optics") and [nonlinear acoustics](https://en.wikipedia.org/wiki/Nonlinear_acoustics "Nonlinear acoustics").
### Quantum superposition
\[[edit](https://en.wikipedia.org/w/index.php?title=Superposition_principle&action=edit§ion=6 "Edit section: Quantum superposition")\]
Main article: [Quantum superposition](https://en.wikipedia.org/wiki/Quantum_superposition "Quantum superposition")
In [quantum mechanics](https://en.wikipedia.org/wiki/Quantum_mechanics "Quantum mechanics"), a principal task is to compute how a certain type of wave [propagates](https://en.wikipedia.org/wiki/Wave_propagation "Wave propagation") and behaves. The wave is described by a [wave function](https://en.wikipedia.org/wiki/Wave_function "Wave function"), and the equation governing its behavior is called the [Schrödinger equation](https://en.wikipedia.org/wiki/Schr%C3%B6dinger_equation "Schrödinger equation"). A primary approach to computing the behavior of a wave function is to write it as a superposition (called "[quantum superposition](https://en.wikipedia.org/wiki/Quantum_superposition "Quantum superposition")") of (possibly infinitely many) other wave functions of a certain type—[stationary states](https://en.wikipedia.org/wiki/Stationary_state "Stationary state") whose behavior is particularly simple. Since the Schrödinger equation is linear, the behavior of the original wave function can be computed through the superposition principle this way.[\[5\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-QuaMech-5)
The projective nature of quantum-mechanical-state space causes some confusion, because a quantum mechanical state is a *ray* in [projective Hilbert space](https://en.wikipedia.org/wiki/Projective_Hilbert_space "Projective Hilbert space"), not a *vector*. According to [Dirac](https://en.wikipedia.org/wiki/Paul_Dirac "Paul Dirac"): "*if the ket vector corresponding to a state is multiplied by any complex number, not zero, the resulting ket vector will correspond to the same state* \[italics in original\]."[\[6\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-6) However, the sum of two rays to compose a superpositioned ray is undefined. As a result, Dirac himself uses ket vector representations of states to decompose or split, for example, a ket vector \| ψ i ⟩ {\\displaystyle \|\\psi \_{i}\\rangle }  into superposition of component ket vectors \| ϕ j ⟩ {\\displaystyle \|\\phi \_{j}\\rangle }  as: \| ψ i ⟩ \= ∑ j C j \| ϕ j ⟩ , {\\displaystyle \|\\psi \_{i}\\rangle =\\sum \_{j}{C\_{j}}\|\\phi \_{j}\\rangle ,}  where the C j ∈ C {\\displaystyle C\_{j}\\in {\\textbf {C}}} . The equivalence class of the \| ψ i ⟩ {\\displaystyle \|\\psi \_{i}\\rangle }  allows a well-defined meaning to be given to the relative phases of the C j {\\displaystyle C\_{j}} .,[\[7\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-7) but an absolute (same amount for all the C j {\\displaystyle C\_{j}} ) phase change on the C j {\\displaystyle C\_{j}}  does not affect the equivalence class of the \| ψ i ⟩ {\\displaystyle \|\\psi \_{i}\\rangle } .
There are exact correspondences between the superposition presented in the main on this page and the quantum superposition. For example, the [Bloch sphere](https://en.wikipedia.org/wiki/Bloch_sphere "Bloch sphere") to represent [pure state](https://en.wikipedia.org/wiki/Pure_state "Pure state") of a [two-level quantum mechanical system](https://en.wikipedia.org/wiki/Two-level_system "Two-level system") ([qubit](https://en.wikipedia.org/wiki/Qubit "Qubit")) is also known as the [Poincaré sphere](https://en.wikipedia.org/wiki/Bloch_sphere "Bloch sphere") representing different types of classical pure [polarization](https://en.wikipedia.org/wiki/Polarization_\(waves\) "Polarization (waves)") states.
Nevertheless, on the topic of quantum superposition, [Kramers](https://en.wikipedia.org/wiki/Hans_Kramers "Hans Kramers") writes: "The principle of \[quantum\] superposition ... has no analogy in classical physics"\[*[citation needed](https://en.wikipedia.org/wiki/Wikipedia:Citation_needed "Wikipedia:Citation needed")*\]. According to [Dirac](https://en.wikipedia.org/wiki/Paul_Dirac "Paul Dirac"): "*the superposition that occurs in quantum mechanics is of an essentially different nature from any occurring in the classical theory* \[italics in original\]."[\[8\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-8) Though reasoning by Dirac includes atomicity of observation, which is valid, as for phase, they actually mean phase translation symmetry derived from [time translation symmetry](https://en.wikipedia.org/wiki/Time_translation_symmetry "Time translation symmetry"), which is also applicable to classical states, as shown above with classical polarization states.
## Boundary-value problems
\[[edit](https://en.wikipedia.org/w/index.php?title=Superposition_principle&action=edit§ion=7 "Edit section: Boundary-value problems")\]
Further information: [Boundary-value problem](https://en.wikipedia.org/wiki/Boundary-value_problem "Boundary-value problem")
A common type of boundary value problem is (to put it abstractly) finding a function *y* that satisfies some equation F ( y ) \= 0 {\\displaystyle F(y)=0}  with some boundary specification G ( y ) \= z . {\\displaystyle G(y)=z.}  For example, in [Laplace's equation](https://en.wikipedia.org/wiki/Laplace%27s_equation "Laplace's equation") with [Dirichlet boundary conditions](https://en.wikipedia.org/wiki/Dirichlet_problem "Dirichlet problem"), *F* would be the [Laplacian](https://en.wikipedia.org/wiki/Laplacian "Laplacian") operator in a region *R*, *G* would be an operator that restricts *y* to the boundary of *R*, and *z* would be the function that *y* is required to equal on the boundary of *R*.
In the case that *F* and *G* are both linear operators, then the superposition principle says that a superposition of solutions to the first equation is another solution to the first equation: F ( y 1 ) \= F ( y 2 ) \= ⋯ \= 0 ⇒ F ( y 1 \+ y 2 \+ ⋯ ) \= 0 , {\\displaystyle F(y\_{1})=F(y\_{2})=\\cdots =0\\quad \\Rightarrow \\quad F(y\_{1}+y\_{2}+\\cdots )=0,}  while the boundary values superpose: G ( y 1 ) \+ G ( y 2 ) \= G ( y 1 \+ y 2 ) . {\\displaystyle G(y\_{1})+G(y\_{2})=G(y\_{1}+y\_{2}).}  Using these facts, if a list can be compiled of solutions to the first equation, then these solutions can be carefully put into a superposition such that it will satisfy the second equation. This is one common method of approaching boundary-value problems.
## Additive state decomposition
\[[edit](https://en.wikipedia.org/w/index.php?title=Superposition_principle&action=edit§ion=8 "Edit section: Additive state decomposition")\]
Main article: [Additive state decomposition](https://en.wikipedia.org/wiki/Additive_state_decomposition "Additive state decomposition")
Consider a simple linear system: x ˙ \= A x \+ B ( u 1 \+ u 2 ) , x ( 0 ) \= x 0 . {\\displaystyle {\\dot {x}}=Ax+B(u\_{1}+u\_{2}),\\qquad x(0)=x\_{0}.} 
By the superposition principle, the system can be decomposed into x ˙ 1 \= A x 1 \+ B u 1 , x 1 ( 0 ) \= x 0 , x ˙ 2 \= A x 2 \+ B u 2 , x 2 ( 0 ) \= 0 {\\displaystyle {\\begin{aligned}{\\dot {x}}\_{1}&=Ax\_{1}+Bu\_{1},&\&x\_{1}(0)=x\_{0},\\\\{\\dot {x}}\_{2}&=Ax\_{2}+Bu\_{2},&\&x\_{2}(0)=0\\end{aligned}}}  with x \= x 1 \+ x 2 . {\\displaystyle x=x\_{1}+x\_{2}.} 
Superposition principle is only available for linear systems. However, the [additive state decomposition](https://en.wikipedia.org/wiki/Additive_state_decomposition "Additive state decomposition") can be applied to both linear and nonlinear systems. Next, consider a nonlinear system x ˙ \= A x \+ B ( u 1 \+ u 2 ) \+ ϕ ( c T x ) , x ( 0 ) \= x 0 , {\\displaystyle {\\dot {x}}=Ax+B(u\_{1}+u\_{2})+\\phi \\left(c^{\\mathsf {T}}x\\right),\\qquad x(0)=x\_{0},}  where ϕ {\\displaystyle \\phi }  is a nonlinear function. By the additive state decomposition, the system can be additively decomposed into x ˙ 1 \= A x 1 \+ B u 1 \+ ϕ ( y d ) , x 1 ( 0 ) \= x 0 , x ˙ 2 \= A x 2 \+ B u 2 \+ ϕ ( c T x 1 \+ c T x 2 ) − ϕ ( y d ) , x 2 ( 0 ) \= 0 {\\displaystyle {\\begin{aligned}{\\dot {x}}\_{1}&=Ax\_{1}+Bu\_{1}+\\phi (y\_{d}),&\&x\_{1}(0)=x\_{0},\\\\{\\dot {x}}\_{2}&=Ax\_{2}+Bu\_{2}+\\phi \\left(c^{\\mathsf {T}}x\_{1}+c^{\\mathsf {T}}x\_{2}\\right)-\\phi (y\_{d}),&\&x\_{2}(0)=0\\end{aligned}}}  with x \= x 1 \+ x 2 . {\\displaystyle x=x\_{1}+x\_{2}.} 
This decomposition can help to simplify controller design.
## Other example applications
\[[edit](https://en.wikipedia.org/w/index.php?title=Superposition_principle&action=edit§ion=9 "Edit section: Other example applications")\]
- In [electrical engineering](https://en.wikipedia.org/wiki/Electrical_engineering "Electrical engineering"), in a [linear circuit](https://en.wikipedia.org/wiki/Linear_circuit "Linear circuit"), the input (an applied time-varying voltage signal) is related to the output (a current or voltage anywhere in the circuit) by a linear transformation. Thus, a superposition (i.e., sum) of input signals will yield the superposition of the responses.
- In [physics](https://en.wikipedia.org/wiki/Physics "Physics"), [Maxwell's equations](https://en.wikipedia.org/wiki/Maxwell%27s_equations "Maxwell's equations") imply that the (possibly time-varying) distributions of [charges](https://en.wikipedia.org/wiki/Electric_charge "Electric charge") and [currents](https://en.wikipedia.org/wiki/Electric_current "Electric current") are related to the [electric](https://en.wikipedia.org/wiki/Electric_field "Electric field") and [magnetic fields](https://en.wikipedia.org/wiki/Magnetic_field "Magnetic field") by a linear transformation. Thus, the superposition principle can be used to simplify the computation of fields that arise from a given charge and current distribution. The principle also applies to other linear differential equations arising in physics, such as the [heat equation](https://en.wikipedia.org/wiki/Heat_equation "Heat equation").
- In [engineering](https://en.wikipedia.org/wiki/Engineering "Engineering"), superposition is used to solve for beam and structure [deflections](https://en.wikipedia.org/wiki/Deflection_\(engineering\) "Deflection (engineering)") of combined loads when the effects are linear (i.e., each load does not affect the results of the other loads, and the effect of each load does not significantly alter the geometry of the structural system).[\[9\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-9) Mode superposition method uses the natural frequencies and mode shapes to characterize the dynamic response of a linear structure.[\[10\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-10)
- In [hydrogeology](https://en.wikipedia.org/wiki/Hydrogeology "Hydrogeology"), the superposition principle is applied to the [drawdown](https://en.wikipedia.org/wiki/Drawdown_\(hydrology\) "Drawdown (hydrology)") of two or more [water wells](https://en.wikipedia.org/wiki/Water_well "Water well") pumping in an ideal [aquifer](https://en.wikipedia.org/wiki/Aquifer "Aquifer"). This principle is used in the [analytic element method](https://en.wikipedia.org/wiki/Analytic_element_method "Analytic element method") to develop analytical elements capable of being combined in a single model.
- In [process control](https://en.wikipedia.org/wiki/Process_control "Process control"), the superposition principle is used in [model predictive control](https://en.wikipedia.org/wiki/Model_predictive_control "Model predictive control").
- The superposition principle can be applied when small deviations from a known solution to a nonlinear system are analyzed by [linearization](https://en.wikipedia.org/wiki/Linearization "Linearization").
## History
\[[edit](https://en.wikipedia.org/w/index.php?title=Superposition_principle&action=edit§ion=10 "Edit section: History")\]
According to [Léon Brillouin](https://en.wikipedia.org/wiki/L%C3%A9on_Brillouin "Léon Brillouin"), the principle of superposition was first stated by [Daniel Bernoulli](https://en.wikipedia.org/wiki/Daniel_Bernoulli "Daniel Bernoulli") in 1753: "The general motion of a vibrating system is given by a superposition of its proper vibrations." The principle was rejected by [Leonhard Euler](https://en.wikipedia.org/wiki/Leonhard_Euler "Leonhard Euler") and then by [Joseph Lagrange](https://en.wikipedia.org/wiki/Joseph-Louis_Lagrange "Joseph-Louis Lagrange"). Bernoulli argued that any sonorous body could vibrate in a series of simple modes with a well-defined frequency of oscillation. As he had earlier indicated, these modes could be superposed to produce more complex vibrations. In his reaction to Bernoulli's memoirs, Euler praised his colleague for having best developed the physical part of the problem of vibrating strings, but denied the generality and superiority of the multi-modes solution.[\[11\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-11)
Later it became accepted, largely through the work of [Joseph Fourier](https://en.wikipedia.org/wiki/Joseph_Fourier "Joseph Fourier").[\[12\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-12)
## See also
\[[edit](https://en.wikipedia.org/w/index.php?title=Superposition_principle&action=edit§ion=11 "Edit section: See also")\]
- [Additive state decomposition](https://en.wikipedia.org/wiki/Additive_state_decomposition "Additive state decomposition")
- [Beat (acoustics)](https://en.wikipedia.org/wiki/Beat_\(acoustics\) "Beat (acoustics)")
- [Coherence (physics)](https://en.wikipedia.org/wiki/Coherence_\(physics\) "Coherence (physics)")
- [Convolution](https://en.wikipedia.org/wiki/Convolution "Convolution")
- [Green's function](https://en.wikipedia.org/wiki/Green%27s_function "Green's function")
- [Impulse response](https://en.wikipedia.org/wiki/Impulse_response "Impulse response")
- [Interference](https://en.wikipedia.org/wiki/Interference_\(wave_propagation\) "Interference (wave propagation)")
- [Quantum superposition](https://en.wikipedia.org/wiki/Quantum_superposition "Quantum superposition")
## References
\[[edit](https://en.wikipedia.org/w/index.php?title=Superposition_principle&action=edit§ion=12 "Edit section: References")\]
1. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-1)** The Penguin Dictionary of Physics, ed. Valerie Illingworth, 1991, Penguin Books, London.
2. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-2)** Lectures in Physics, Vol, 1, 1963, pg. 30-1, Addison Wesley Publishing Company Reading, Mass [\[1\]](https://books.google.com/books?id=S-JFAgAAQBAJ&dq=feynman+interference+and+diffraction&pg=SA30-PA1)
3. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-3)** N. K. VERMA, *Physics for Engineers*, PHI Learning Pvt. Ltd., Oct 18, 2013, p. 361. [\[2\]](https://books.google.com/books?id=kY-7AQAAQBAJ&dq=feynman+interference+and+diffraction&pg=PA361)
4. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-4)** Tim Freegarde, *Introduction to the Physics of Waves*, Cambridge University Press, Nov 8, 2012. [\[3\]](https://books.google.com/books?id=eMMgAwAAQBAJ&dq=feynman+interference+and+diffraction&pg=PA106)
5. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-QuaMech_5-0)**
Quantum Mechanics, [Kramers, H.A.](https://en.wikipedia.org/wiki/Hendrik_Anthony_Kramers "Hendrik Anthony Kramers") publisher Dover, 1957, p. 62 [ISBN](https://en.wikipedia.org/wiki/ISBN_\(identifier\) "ISBN (identifier)")
[978-0-486-66772-0](https://en.wikipedia.org/wiki/Special:BookSources/978-0-486-66772-0 "Special:BookSources/978-0-486-66772-0")
6. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-6)** [Dirac, P. A. M.](https://en.wikipedia.org/wiki/Paul_Adrien_Maurice_Dirac "Paul Adrien Maurice Dirac") (1958). *The Principles of Quantum Mechanics*, 4th edition, Oxford, UK: Oxford University Press, p. 17.
7. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-7)**
Solem, J. C.; Biedenharn, L. C. (1993). "Understanding geometrical phases in quantum mechanics: An elementary example". *Foundations of Physics*. **23** (2): 185–195\. [Bibcode](https://en.wikipedia.org/wiki/Bibcode_\(identifier\) "Bibcode (identifier)"):[1993FoPh...23..185S](https://ui.adsabs.harvard.edu/abs/1993FoPh...23..185S). [doi](https://en.wikipedia.org/wiki/Doi_\(identifier\) "Doi (identifier)"):[10\.1007/BF01883623](https://doi.org/10.1007%2FBF01883623). [S2CID](https://en.wikipedia.org/wiki/S2CID_\(identifier\) "S2CID (identifier)") [121930907](https://api.semanticscholar.org/CorpusID:121930907).
8. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-8)** [Dirac, P. A. M.](https://en.wikipedia.org/wiki/Paul_Adrien_Maurice_Dirac "Paul Adrien Maurice Dirac") (1958). *The Principles of Quantum Mechanics*, 4th edition, Oxford, UK: Oxford University Press, p. 14.
9. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-9)**
Mechanical Engineering Design, By Joseph Edward Shigley, Charles R. Mischke, Richard Gordon Budynas, Published 2004 McGraw-Hill Professional, p. 192
[ISBN](https://en.wikipedia.org/wiki/ISBN_\(identifier\) "ISBN (identifier)")
[0-07-252036-1](https://en.wikipedia.org/wiki/Special:BookSources/0-07-252036-1 "Special:BookSources/0-07-252036-1")
10. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-10)**
Finite Element Procedures, Bathe, K. J., Prentice-Hall, Englewood Cliffs, 1996, p. 785
[ISBN](https://en.wikipedia.org/wiki/ISBN_\(identifier\) "ISBN (identifier)")
[0-13-301458-4](https://en.wikipedia.org/wiki/Special:BookSources/0-13-301458-4 "Special:BookSources/0-13-301458-4")
11. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-11)** Topics on Numerics for Wave Propagation, Basque Center for Applied Mathematics, 2012, Spain, [p. 39](http://www.bcamath.org/documentos_public/courses/1_Course2012Chapter1WavesHistoryApplications.pdf)
12. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-12)** [Brillouin, L.](https://en.wikipedia.org/wiki/L%C3%A9on_Brillouin "Léon Brillouin") (1946). *Wave propagation in Periodic Structures: Electric Filters and Crystal Lattices*, McGraw–Hill, New York, p. 2.
## Further reading
\[[edit](https://en.wikipedia.org/w/index.php?title=Superposition_principle&action=edit§ion=13 "Edit section: Further reading")\]
- Haberman, Richard (2004). *Applied Partial Differential Equations*. Prentice Hall. [ISBN](https://en.wikipedia.org/wiki/ISBN_\(identifier\) "ISBN (identifier)")
[978-0-13-065243-0](https://en.wikipedia.org/wiki/Special:BookSources/978-0-13-065243-0 "Special:BookSources/978-0-13-065243-0")
.
- [Superposition of sound waves](http://www.acoustics.salford.ac.uk/feschools/waves/super.htm)
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Superposition principle
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[](https://en.wikipedia.org/wiki/File:Anas_platyrhynchos_with_ducklings_reflecting_water.jpg)
Superposition of almost [plane waves](https://en.wikipedia.org/wiki/Plane_wave "Plane wave") (diagonal lines) from a distant source and waves from the [wake](https://en.wikipedia.org/wiki/Wake_\(physics\) "Wake (physics)") of the [ducks](https://en.wikipedia.org/wiki/Duck "Duck"). [Linearity](https://en.wikipedia.org/wiki/Linearity "Linearity") holds only approximately in water and only for waves with small amplitudes relative to their wavelengths.
[](https://en.wikipedia.org/wiki/File:Rolling_animation.gif)
[Rolling](https://en.wikipedia.org/wiki/Rolling "Rolling") motion as superposition of two motions. The rolling motion of the wheel can be described as a combination of two separate motions: [rotation](https://en.wikipedia.org/wiki/Rotation "Rotation") without [translation](https://en.wikipedia.org/wiki/Translation_\(geometry\) "Translation (geometry)"), and translation without rotation.
The **superposition principle**,[\[1\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-1) also known as **superposition property**, states that, for all [linear systems](https://en.wikipedia.org/wiki/Linear_system "Linear system"), the net response caused by two or more stimuli is the sum of the responses that would have been caused by each stimulus individually. So that if input *A* produces response *X*, and input *B* produces response *Y*, then input (*A* + *B*) produces response (*X* + *Y*).
A [function](https://en.wikipedia.org/wiki/Function_\(mathematics\) "Function (mathematics)")  that satisfies the superposition principle is called a [linear function](https://en.wikipedia.org/wiki/Linear_function "Linear function"). Superposition can be defined by two simpler properties: [additivity](https://en.wikipedia.org/wiki/Additive_map "Additive map")  and [homogeneity](https://en.wikipedia.org/wiki/Homogeneous_function "Homogeneous function")  for [scalar](https://en.wikipedia.org/wiki/Scalar_\(mathematics\) "Scalar (mathematics)") a.
This principle has many applications in [physics](https://en.wikipedia.org/wiki/Physics "Physics") and [engineering](https://en.wikipedia.org/wiki/Engineering "Engineering") because many physical systems can be modeled as linear systems. For example, a [beam](https://en.wikipedia.org/wiki/Beam_\(structure\) "Beam (structure)") can be modeled as a linear system where the input stimulus is the [load](https://en.wikipedia.org/wiki/Structural_load "Structural load") on the beam and the output response is the [deflection](https://en.wikipedia.org/wiki/Deflection_\(engineering\) "Deflection (engineering)") of the beam. The importance of linear systems is that they are easier to analyze mathematically; there is a large body of mathematical techniques, [frequency-domain](https://en.wikipedia.org/wiki/Frequency-domain "Frequency-domain") [linear transform](https://en.wikipedia.org/wiki/Linear_transform "Linear transform") methods such as [Fourier](https://en.wikipedia.org/wiki/Fourier_transform "Fourier transform") and [Laplace](https://en.wikipedia.org/wiki/Laplace_transform "Laplace transform") transforms, and [linear operator](https://en.wikipedia.org/wiki/Linear_operator "Linear operator") theory, that are applicable. Because physical systems are generally only approximately linear, the superposition principle is only an approximation of the true physical behavior.
The superposition principle applies to *any* linear system, including [algebraic equations](https://en.wikipedia.org/wiki/Algebraic_equation "Algebraic equation"), [linear differential equations](https://en.wikipedia.org/wiki/Linear_differential_equations "Linear differential equations"), and [systems of equations](https://en.wikipedia.org/wiki/System_of_equations "System of equations") of those forms. The stimuli and responses could be numbers, functions, vectors, [vector fields](https://en.wikipedia.org/wiki/Vector_field "Vector field"), time-varying signals, or any other object that satisfies [certain axioms](https://en.wikipedia.org/wiki/Vector_space "Vector space"). Note that when vectors or vector fields are involved, a superposition is interpreted as a [vector sum](https://en.wikipedia.org/wiki/Vector_sum "Vector sum"). If the superposition holds, then it automatically also holds for all linear operations applied on these functions (due to definition), such as gradients, differentials or integrals (if they exist).
## Relation to Fourier analysis and similar methods
\[[edit](https://en.wikipedia.org/w/index.php?title=Superposition_principle&action=edit§ion=1 "Edit section: Relation to Fourier analysis and similar methods")\]
By writing a very general stimulus (in a linear system) as the superposition of stimuli of a specific and simple form, often the response becomes easier to compute.
For example, in [Fourier analysis](https://en.wikipedia.org/wiki/Fourier_analysis "Fourier analysis"), the stimulus is written as the superposition of infinitely many [sinusoids](https://en.wikipedia.org/wiki/Sine_wave "Sine wave"). Due to the superposition principle, each of these sinusoids can be analyzed separately, and its individual response can be computed. (The response is itself a sinusoid, with the same frequency as the stimulus, but generally a different [amplitude](https://en.wikipedia.org/wiki/Amplitude "Amplitude") and [phase](https://en.wikipedia.org/wiki/Phase_\(waves\) "Phase (waves)").) According to the superposition principle, the response to the original stimulus is the sum (or integral) of all the individual sinusoidal responses.
As another common example, in [Green's function analysis](https://en.wikipedia.org/wiki/Green%27s_function "Green's function"), the stimulus is written as the superposition of infinitely many [impulse functions](https://en.wikipedia.org/wiki/Impulse_function "Impulse function"), and the response is then a superposition of [impulse responses](https://en.wikipedia.org/wiki/Impulse_response "Impulse response").
Fourier analysis is particularly common for [waves](https://en.wikipedia.org/wiki/Wave "Wave"). For example, in electromagnetic theory, ordinary [light](https://en.wikipedia.org/wiki/Light "Light") is described as a superposition of [plane waves](https://en.wikipedia.org/wiki/Plane_wave "Plane wave") (waves of fixed [frequency](https://en.wikipedia.org/wiki/Frequency "Frequency"), [polarization](https://en.wikipedia.org/wiki/Polarization_\(waves\) "Polarization (waves)"), and direction). As long as the superposition principle holds (which is often but not always; see [nonlinear optics](https://en.wikipedia.org/wiki/Nonlinear_optics "Nonlinear optics")), the behavior of any light wave can be understood as a superposition of the behavior of these simpler [plane waves](https://en.wikipedia.org/wiki/Plane_wave "Plane wave").
[](https://en.wikipedia.org/wiki/File:Standing_wave_2.gif)
Two waves traveling in opposite directions across the same medium combine linearly. In this animation, both waves have the same wavelength and the sum of amplitudes results in a [standing wave](https://en.wikipedia.org/wiki/Standing_wave "Standing wave").
[](https://en.wikipedia.org/wiki/File:Standing_waves1.gif)
Two waves permeate without influencing each other
Waves are usually described by variations in some parameters through space and time—for example, height in a water wave, [pressure](https://en.wikipedia.org/wiki/Pressure "Pressure") in a sound wave, or the [electromagnetic field](https://en.wikipedia.org/wiki/Electromagnetic_field "Electromagnetic field") in a light wave. The value of this parameter is called the [amplitude](https://en.wikipedia.org/wiki/Amplitude "Amplitude") of the wave and the wave itself is a [function](https://en.wikipedia.org/wiki/Function_\(mathematics\) "Function (mathematics)") specifying the amplitude at each point.
In any system with waves, the waveform at a given time is a function of the [sources](https://en.wikipedia.org/wiki/Wave_equation "Wave equation") (i.e., external forces, if any, that create or affect the wave) and [initial conditions](https://en.wikipedia.org/wiki/Initial_condition "Initial condition") of the system. In many cases (for example, in the classic [wave equation](https://en.wikipedia.org/wiki/Wave_equation "Wave equation")), the equation describing the wave is linear. When this is true, the superposition principle can be applied. That means that the net amplitude caused by two or more waves traversing the same space is the sum of the amplitudes that would have been produced by the individual waves separately. For example, two waves traveling towards each other will pass right through each other without any distortion on the other side. (See image at the top.)
### Wave diffraction vs. wave interference
\[[edit](https://en.wikipedia.org/w/index.php?title=Superposition_principle&action=edit§ion=3 "Edit section: Wave diffraction vs. wave interference")\]
With regard to wave superposition, [Richard Feynman](https://en.wikipedia.org/wiki/Richard_Feynman "Richard Feynman") wrote:[\[2\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-2)
> No-one has ever been able to define the difference between [interference](https://en.wikipedia.org/wiki/Interference_\(wave_propagation\) "Interference (wave propagation)") and diffraction satisfactorily. It is just a question of usage, and there is no specific, important physical difference between them. The best we can do, roughly speaking, is to say that when there are only a few sources, say two, interfering, then the result is usually called interference, but if there is a large number of them, it seems that the word diffraction is more often used.
Other authors elaborate:[\[3\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-3)
> The difference is one of convenience and convention. If the waves to be superposed originate from a few coherent sources, say, two, the effect is called interference. On the other hand, if the waves to be superposed originate by subdividing a wavefront into infinitesimal coherent wavelets (sources), the effect is called diffraction. That is the difference between the two phenomena is \[a matter\] of degree only, and basically, they are two limiting cases of superposition effects.
Yet another source concurs:[\[4\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-4)
> In as much as the interference fringes observed by Young were the diffraction pattern of the double slit, this chapter \[Fraunhofer diffraction\] is, therefore, a continuation of Chapter 8 \[Interference\]. On the other hand, few opticians would regard the Michelson interferometer as an example of diffraction. Some of the important categories of diffraction relate to the interference that accompanies division of the wavefront, so Feynman's observation to some extent reflects the difficulty that we may have in distinguishing division of amplitude and division of wavefront.
The phenomenon of [interference](https://en.wikipedia.org/wiki/Interference_\(wave_propagation\) "Interference (wave propagation)") between waves is based on this idea. When two or more waves traverse the same space, the net amplitude at each point is the sum of the amplitudes of the individual waves. In some cases, such as in [noise-canceling headphones](https://en.wikipedia.org/wiki/Noise-canceling_headphones "Noise-canceling headphones"), the summed variation has a smaller [amplitude](https://en.wikipedia.org/wiki/Amplitude "Amplitude") than the component variations; this is called *destructive interference*. In other cases, such as in a [line array](https://en.wikipedia.org/wiki/Line_array "Line array"), the summed variation will have a bigger amplitude than any of the components individually; this is called *constructive interference*.
[](https://en.wikipedia.org/wiki/File:Waventerference.gif)
green wave traverse to the right while blue wave traverse left, the net red wave amplitude at each point is the sum of the amplitudes of the individual waves.
| | | |
|---|---|---|
| combined waveform | [](https://en.wikipedia.org/wiki/File:Interference_of_two_waves.svg) | |
| wave 1 | | |
| wave 2 | | |
| | Two waves in phase | Two waves 180° out of phase |
### Departures from linearity
\[[edit](https://en.wikipedia.org/w/index.php?title=Superposition_principle&action=edit§ion=5 "Edit section: Departures from linearity")\]
In most realistic physical situations, the equation governing the wave is only approximately linear. In these situations, the superposition principle only approximately holds. As a rule, the accuracy of the approximation tends to improve as the amplitude of the wave gets smaller. For examples of phenomena that arise when the superposition principle does not exactly hold, see the articles [nonlinear optics](https://en.wikipedia.org/wiki/Nonlinear_optics "Nonlinear optics") and [nonlinear acoustics](https://en.wikipedia.org/wiki/Nonlinear_acoustics "Nonlinear acoustics").
### Quantum superposition
\[[edit](https://en.wikipedia.org/w/index.php?title=Superposition_principle&action=edit§ion=6 "Edit section: Quantum superposition")\]
In [quantum mechanics](https://en.wikipedia.org/wiki/Quantum_mechanics "Quantum mechanics"), a principal task is to compute how a certain type of wave [propagates](https://en.wikipedia.org/wiki/Wave_propagation "Wave propagation") and behaves. The wave is described by a [wave function](https://en.wikipedia.org/wiki/Wave_function "Wave function"), and the equation governing its behavior is called the [Schrödinger equation](https://en.wikipedia.org/wiki/Schr%C3%B6dinger_equation "Schrödinger equation"). A primary approach to computing the behavior of a wave function is to write it as a superposition (called "[quantum superposition](https://en.wikipedia.org/wiki/Quantum_superposition "Quantum superposition")") of (possibly infinitely many) other wave functions of a certain type—[stationary states](https://en.wikipedia.org/wiki/Stationary_state "Stationary state") whose behavior is particularly simple. Since the Schrödinger equation is linear, the behavior of the original wave function can be computed through the superposition principle this way.[\[5\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-QuaMech-5)
The projective nature of quantum-mechanical-state space causes some confusion, because a quantum mechanical state is a *ray* in [projective Hilbert space](https://en.wikipedia.org/wiki/Projective_Hilbert_space "Projective Hilbert space"), not a *vector*. According to [Dirac](https://en.wikipedia.org/wiki/Paul_Dirac "Paul Dirac"): "*if the ket vector corresponding to a state is multiplied by any complex number, not zero, the resulting ket vector will correspond to the same state* \[italics in original\]."[\[6\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-6) However, the sum of two rays to compose a superpositioned ray is undefined. As a result, Dirac himself uses ket vector representations of states to decompose or split, for example, a ket vector  into superposition of component ket vectors  as:  where the . The equivalence class of the  allows a well-defined meaning to be given to the relative phases of the .,[\[7\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-7) but an absolute (same amount for all the ) phase change on the  does not affect the equivalence class of the .
There are exact correspondences between the superposition presented in the main on this page and the quantum superposition. For example, the [Bloch sphere](https://en.wikipedia.org/wiki/Bloch_sphere "Bloch sphere") to represent [pure state](https://en.wikipedia.org/wiki/Pure_state "Pure state") of a [two-level quantum mechanical system](https://en.wikipedia.org/wiki/Two-level_system "Two-level system") ([qubit](https://en.wikipedia.org/wiki/Qubit "Qubit")) is also known as the [Poincaré sphere](https://en.wikipedia.org/wiki/Bloch_sphere "Bloch sphere") representing different types of classical pure [polarization](https://en.wikipedia.org/wiki/Polarization_\(waves\) "Polarization (waves)") states.
Nevertheless, on the topic of quantum superposition, [Kramers](https://en.wikipedia.org/wiki/Hans_Kramers "Hans Kramers") writes: "The principle of \[quantum\] superposition ... has no analogy in classical physics"\[*[citation needed](https://en.wikipedia.org/wiki/Wikipedia:Citation_needed "Wikipedia:Citation needed")*\]. According to [Dirac](https://en.wikipedia.org/wiki/Paul_Dirac "Paul Dirac"): "*the superposition that occurs in quantum mechanics is of an essentially different nature from any occurring in the classical theory* \[italics in original\]."[\[8\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-8) Though reasoning by Dirac includes atomicity of observation, which is valid, as for phase, they actually mean phase translation symmetry derived from [time translation symmetry](https://en.wikipedia.org/wiki/Time_translation_symmetry "Time translation symmetry"), which is also applicable to classical states, as shown above with classical polarization states.
## Boundary-value problems
\[[edit](https://en.wikipedia.org/w/index.php?title=Superposition_principle&action=edit§ion=7 "Edit section: Boundary-value problems")\]
A common type of boundary value problem is (to put it abstractly) finding a function *y* that satisfies some equation  with some boundary specification  For example, in [Laplace's equation](https://en.wikipedia.org/wiki/Laplace%27s_equation "Laplace's equation") with [Dirichlet boundary conditions](https://en.wikipedia.org/wiki/Dirichlet_problem "Dirichlet problem"), *F* would be the [Laplacian](https://en.wikipedia.org/wiki/Laplacian "Laplacian") operator in a region *R*, *G* would be an operator that restricts *y* to the boundary of *R*, and *z* would be the function that *y* is required to equal on the boundary of *R*.
In the case that *F* and *G* are both linear operators, then the superposition principle says that a superposition of solutions to the first equation is another solution to the first equation:  while the boundary values superpose:  Using these facts, if a list can be compiled of solutions to the first equation, then these solutions can be carefully put into a superposition such that it will satisfy the second equation. This is one common method of approaching boundary-value problems.
## Additive state decomposition
\[[edit](https://en.wikipedia.org/w/index.php?title=Superposition_principle&action=edit§ion=8 "Edit section: Additive state decomposition")\]
Consider a simple linear system: 
By the superposition principle, the system can be decomposed into  with 
Superposition principle is only available for linear systems. However, the [additive state decomposition](https://en.wikipedia.org/wiki/Additive_state_decomposition "Additive state decomposition") can be applied to both linear and nonlinear systems. Next, consider a nonlinear system  where  is a nonlinear function. By the additive state decomposition, the system can be additively decomposed into  with 
This decomposition can help to simplify controller design.
## Other example applications
\[[edit](https://en.wikipedia.org/w/index.php?title=Superposition_principle&action=edit§ion=9 "Edit section: Other example applications")\]
- In [electrical engineering](https://en.wikipedia.org/wiki/Electrical_engineering "Electrical engineering"), in a [linear circuit](https://en.wikipedia.org/wiki/Linear_circuit "Linear circuit"), the input (an applied time-varying voltage signal) is related to the output (a current or voltage anywhere in the circuit) by a linear transformation. Thus, a superposition (i.e., sum) of input signals will yield the superposition of the responses.
- In [physics](https://en.wikipedia.org/wiki/Physics "Physics"), [Maxwell's equations](https://en.wikipedia.org/wiki/Maxwell%27s_equations "Maxwell's equations") imply that the (possibly time-varying) distributions of [charges](https://en.wikipedia.org/wiki/Electric_charge "Electric charge") and [currents](https://en.wikipedia.org/wiki/Electric_current "Electric current") are related to the [electric](https://en.wikipedia.org/wiki/Electric_field "Electric field") and [magnetic fields](https://en.wikipedia.org/wiki/Magnetic_field "Magnetic field") by a linear transformation. Thus, the superposition principle can be used to simplify the computation of fields that arise from a given charge and current distribution. The principle also applies to other linear differential equations arising in physics, such as the [heat equation](https://en.wikipedia.org/wiki/Heat_equation "Heat equation").
- In [engineering](https://en.wikipedia.org/wiki/Engineering "Engineering"), superposition is used to solve for beam and structure [deflections](https://en.wikipedia.org/wiki/Deflection_\(engineering\) "Deflection (engineering)") of combined loads when the effects are linear (i.e., each load does not affect the results of the other loads, and the effect of each load does not significantly alter the geometry of the structural system).[\[9\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-9) Mode superposition method uses the natural frequencies and mode shapes to characterize the dynamic response of a linear structure.[\[10\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-10)
- In [hydrogeology](https://en.wikipedia.org/wiki/Hydrogeology "Hydrogeology"), the superposition principle is applied to the [drawdown](https://en.wikipedia.org/wiki/Drawdown_\(hydrology\) "Drawdown (hydrology)") of two or more [water wells](https://en.wikipedia.org/wiki/Water_well "Water well") pumping in an ideal [aquifer](https://en.wikipedia.org/wiki/Aquifer "Aquifer"). This principle is used in the [analytic element method](https://en.wikipedia.org/wiki/Analytic_element_method "Analytic element method") to develop analytical elements capable of being combined in a single model.
- In [process control](https://en.wikipedia.org/wiki/Process_control "Process control"), the superposition principle is used in [model predictive control](https://en.wikipedia.org/wiki/Model_predictive_control "Model predictive control").
- The superposition principle can be applied when small deviations from a known solution to a nonlinear system are analyzed by [linearization](https://en.wikipedia.org/wiki/Linearization "Linearization").
According to [Léon Brillouin](https://en.wikipedia.org/wiki/L%C3%A9on_Brillouin "Léon Brillouin"), the principle of superposition was first stated by [Daniel Bernoulli](https://en.wikipedia.org/wiki/Daniel_Bernoulli "Daniel Bernoulli") in 1753: "The general motion of a vibrating system is given by a superposition of its proper vibrations." The principle was rejected by [Leonhard Euler](https://en.wikipedia.org/wiki/Leonhard_Euler "Leonhard Euler") and then by [Joseph Lagrange](https://en.wikipedia.org/wiki/Joseph-Louis_Lagrange "Joseph-Louis Lagrange"). Bernoulli argued that any sonorous body could vibrate in a series of simple modes with a well-defined frequency of oscillation. As he had earlier indicated, these modes could be superposed to produce more complex vibrations. In his reaction to Bernoulli's memoirs, Euler praised his colleague for having best developed the physical part of the problem of vibrating strings, but denied the generality and superiority of the multi-modes solution.[\[11\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-11)
Later it became accepted, largely through the work of [Joseph Fourier](https://en.wikipedia.org/wiki/Joseph_Fourier "Joseph Fourier").[\[12\]](https://en.wikipedia.org/wiki/Superposition_principle#cite_note-12)
- [Additive state decomposition](https://en.wikipedia.org/wiki/Additive_state_decomposition "Additive state decomposition")
- [Beat (acoustics)](https://en.wikipedia.org/wiki/Beat_\(acoustics\) "Beat (acoustics)")
- [Coherence (physics)](https://en.wikipedia.org/wiki/Coherence_\(physics\) "Coherence (physics)")
- [Convolution](https://en.wikipedia.org/wiki/Convolution "Convolution")
- [Green's function](https://en.wikipedia.org/wiki/Green%27s_function "Green's function")
- [Impulse response](https://en.wikipedia.org/wiki/Impulse_response "Impulse response")
- [Interference](https://en.wikipedia.org/wiki/Interference_\(wave_propagation\) "Interference (wave propagation)")
- [Quantum superposition](https://en.wikipedia.org/wiki/Quantum_superposition "Quantum superposition")
1. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-1)** The Penguin Dictionary of Physics, ed. Valerie Illingworth, 1991, Penguin Books, London.
2. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-2)** Lectures in Physics, Vol, 1, 1963, pg. 30-1, Addison Wesley Publishing Company Reading, Mass [\[1\]](https://books.google.com/books?id=S-JFAgAAQBAJ&dq=feynman+interference+and+diffraction&pg=SA30-PA1)
3. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-3)** N. K. VERMA, *Physics for Engineers*, PHI Learning Pvt. Ltd., Oct 18, 2013, p. 361. [\[2\]](https://books.google.com/books?id=kY-7AQAAQBAJ&dq=feynman+interference+and+diffraction&pg=PA361)
4. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-4)** Tim Freegarde, *Introduction to the Physics of Waves*, Cambridge University Press, Nov 8, 2012. [\[3\]](https://books.google.com/books?id=eMMgAwAAQBAJ&dq=feynman+interference+and+diffraction&pg=PA106)
5. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-QuaMech_5-0)**
Quantum Mechanics, [Kramers, H.A.](https://en.wikipedia.org/wiki/Hendrik_Anthony_Kramers "Hendrik Anthony Kramers") publisher Dover, 1957, p. 62 [ISBN](https://en.wikipedia.org/wiki/ISBN_\(identifier\) "ISBN (identifier)")
[978-0-486-66772-0](https://en.wikipedia.org/wiki/Special:BookSources/978-0-486-66772-0 "Special:BookSources/978-0-486-66772-0")
6. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-6)** [Dirac, P. A. M.](https://en.wikipedia.org/wiki/Paul_Adrien_Maurice_Dirac "Paul Adrien Maurice Dirac") (1958). *The Principles of Quantum Mechanics*, 4th edition, Oxford, UK: Oxford University Press, p. 17.
7. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-7)**
Solem, J. C.; Biedenharn, L. C. (1993). "Understanding geometrical phases in quantum mechanics: An elementary example". *Foundations of Physics*. **23** (2): 185–195\. [Bibcode](https://en.wikipedia.org/wiki/Bibcode_\(identifier\) "Bibcode (identifier)"):[1993FoPh...23..185S](https://ui.adsabs.harvard.edu/abs/1993FoPh...23..185S). [doi](https://en.wikipedia.org/wiki/Doi_\(identifier\) "Doi (identifier)"):[10\.1007/BF01883623](https://doi.org/10.1007%2FBF01883623). [S2CID](https://en.wikipedia.org/wiki/S2CID_\(identifier\) "S2CID (identifier)") [121930907](https://api.semanticscholar.org/CorpusID:121930907).
8. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-8)** [Dirac, P. A. M.](https://en.wikipedia.org/wiki/Paul_Adrien_Maurice_Dirac "Paul Adrien Maurice Dirac") (1958). *The Principles of Quantum Mechanics*, 4th edition, Oxford, UK: Oxford University Press, p. 14.
9. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-9)**
Mechanical Engineering Design, By Joseph Edward Shigley, Charles R. Mischke, Richard Gordon Budynas, Published 2004 McGraw-Hill Professional, p. 192 [ISBN](https://en.wikipedia.org/wiki/ISBN_\(identifier\) "ISBN (identifier)")
[0-07-252036-1](https://en.wikipedia.org/wiki/Special:BookSources/0-07-252036-1 "Special:BookSources/0-07-252036-1")
10. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-10)**
Finite Element Procedures, Bathe, K. J., Prentice-Hall, Englewood Cliffs, 1996, p. 785 [ISBN](https://en.wikipedia.org/wiki/ISBN_\(identifier\) "ISBN (identifier)")
[0-13-301458-4](https://en.wikipedia.org/wiki/Special:BookSources/0-13-301458-4 "Special:BookSources/0-13-301458-4")
11. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-11)** Topics on Numerics for Wave Propagation, Basque Center for Applied Mathematics, 2012, Spain, [p. 39](http://www.bcamath.org/documentos_public/courses/1_Course2012Chapter1WavesHistoryApplications.pdf)
12. **[^](https://en.wikipedia.org/wiki/Superposition_principle#cite_ref-12)** [Brillouin, L.](https://en.wikipedia.org/wiki/L%C3%A9on_Brillouin "Léon Brillouin") (1946). *Wave propagation in Periodic Structures: Electric Filters and Crystal Lattices*, McGraw–Hill, New York, p. 2.
- Haberman, Richard (2004). *Applied Partial Differential Equations*. Prentice Hall. [ISBN](https://en.wikipedia.org/wiki/ISBN_\(identifier\) "ISBN (identifier)")
[978-0-13-065243-0](https://en.wikipedia.org/wiki/Special:BookSources/978-0-13-065243-0 "Special:BookSources/978-0-13-065243-0")
.
- [Superposition of sound waves](http://www.acoustics.salford.ac.uk/feschools/waves/super.htm) |
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