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\title{Timelike Separated Events} | ||
\taxon{Definition} | ||
\p{ | ||
An event #{S} is said to be timelike separated if | ||
##{ | ||
(\Delta x^0)^2 > (\Delta x^1)^2 + (\Delta x^2)^2 + (\Delta x^3)^2 | ||
} | ||
or briefly #{\Delta s^2 > 0}. The spatial separation is less than the distance light travels. | ||
} |
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\title{Lightlike Separated Events} | ||
\taxon{Definition} | ||
\p{ | ||
Events connected by the world-line of a \strong{photon} are said to be \strong{lightlike separated}. | ||
For which #{\Delta s^2 = 0}. | ||
} |
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\title{Spacelike Separated Events} | ||
\taxon{Definition} | ||
\p{ | ||
Two events for which #{\Delta s^2 < 0} are said to be \strong{spacelike separated}. | ||
Events that are simultaneous in a Lorentz frame but in different position are spacelike separated. | ||
} |
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\title{Einstein's Summation Convention} | ||
\taxon{Definition} | ||
\p{ | ||
When index variable appears twicec in a single term and | ||
is not otherwise defined, it is assumed to be summed over. | ||
If the indices can range over #{\{1,2,3\}},then | ||
##{ | ||
s = \sum_{i=1}^3 a_i b_i = a_1 b_1 + a_2 b_2 + a_3 b_3 | ||
} | ||
can be simplified to | ||
##{ | ||
s = a_i b_i | ||
} | ||
} |
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\title{Minkowski Metric} | ||
\taxon{Definition} | ||
\p{ | ||
The \strong{Minkowski Metric}, aka \strong{Minkowski Tensor}, is a tensor #{\eta_{\mu\nu}} whose elements are defined by the matrix | ||
##{ | ||
\eta_{\mu\nu} = \begin{pmatrix} | ||
-1 & 0 & 0 & 0 \\ | ||
0 & 1 & 0 & 0 \\ | ||
0 & 0 & 1 & 0 \\ | ||
0 & 0 & 0 & 1 | ||
\end{pmatrix} | ||
} | ||
where #{\mu} and #{\nu} are Lorentz indices run over #{0,1,2,3}. | ||
} |
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\title{Symmetric and Antisymmetric Part} | ||
\taxon{Definition} | ||
\p{ | ||
Any square matrix #{A} can be written as the sum of a symmetric and antisymmetric matrix: | ||
##{ | ||
A = A_S + A_A | ||
} | ||
where #{A_S} is the \strong{symmetric part} and #{A_A} is the \strong{antisymmetric part}. | ||
##{ | ||
A_S = \frac{1}{2}(A + A^T) | ||
} | ||
where #{A_S} is a [symmetric matrix](def-001N) | ||
##{ | ||
A_A = \frac{1}{2}(A - A^T) | ||
} | ||
where #{A_A} is an [antisymmetric matrix](def-001O) | ||
} |
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\title{Symmetric Matrix} | ||
\taxon{Definition} | ||
\p{ | ||
A square matrix #{A} is symmetric if it is equal to its transpose: | ||
##{ | ||
A = A^T | ||
} | ||
This also implies #{A^{-1} A^T = I} | ||
} |
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\title{Antisymmetric Matrix} | ||
\taxon{Definition} | ||
\p{ | ||
A square matrix #{A} is antisymmetric if it is equal to the negative of its transpose: | ||
##{ | ||
A = -A^T | ||
} | ||
This also implies #{A^{-1} A^T = -I} | ||
} |
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\title{Kronecker Delta} | ||
\taxon{Definition} | ||
\p{ | ||
The \strong{Kronecker delta} is defined as | ||
##{ | ||
\delta_{i}^j = \begin{cases} | ||
1 & \text{if } i = j \\ | ||
0 & \text{if } i \neq j | ||
\end{cases} | ||
} | ||
} |
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\title{Lorentz Transformations} | ||
\taxon{Definition} | ||
\p{ | ||
Consider a frame #{S} and #{S'} which is moving along the #{+x} direction of the #{S} frame | ||
with a velocity #{v}. | ||
Assume that the origins of the two frames coincide at #{t=t'=0} and coordinate axes are parallel. | ||
|
||
We say that #{S'} is boosted along the #{x} direction with velocity parameter #{\beta\equiv\frac{v}{c}}. | ||
The \strong{Lorentz transformations} are defined by a set of equations that relate the coordinates of an event in the two frames. | ||
##{ | ||
\begin{align*} | ||
x' &= \gamma(x-\beta ct) \\ | ||
y' &= y \\ | ||
z' &= z \\ | ||
ct' &= \gamma(ct-\beta x) | ||
\end{align*} | ||
} | ||
where #{\gamma\equiv\dfrac{1}{\sqrt{1-\beta^2}} = \dfrac{1}{\sqrt{1-\frac{v^2}{c^2}}}} is the \strong{Lorentz factor}. | ||
The coordinates orthogonal to the #{x} direction remains unchanged. | ||
} | ||
\p{ | ||
Lorentz transformations are the linear transformations of coordinates that remains the #{\Delta s^2} unchanged. | ||
We can write the Lorentz transformations in matrix form: | ||
##{ | ||
\begin{pmatrix} | ||
ct' \\ | ||
x' \\ | ||
y' \\ | ||
z' | ||
\end{pmatrix} | ||
= | ||
\begin{pmatrix} | ||
\gamma & -\beta\gamma & 0 & 0 \\ | ||
-\beta\gamma & \gamma & 0 & 0 \\ | ||
0 & 0 & 1 & 0 \\ | ||
0 & 0 & 0 & 1 | ||
\end{pmatrix} | ||
\begin{pmatrix} | ||
ct \\ | ||
x \\ | ||
y \\ | ||
z | ||
\end{pmatrix} | ||
} | ||
Or in a more compact form: | ||
##{ | ||
x'^\mu = L^\mu_\nu x^\nu | ||
} | ||
where #{L^\mu_\nu} is the \strong{Lorentz transformation matrix} presented above. | ||
} |
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\title{Light-cone Coordinates} | ||
\taxon{Definition} | ||
\p{ | ||
The \strong{light-cone coordinates} can be defined as | ||
two independent [linear combinations](def-000L) of the time | ||
and a chosen spatial coordinate (conventionally #{x^1}): | ||
##{ | ||
\begin{align*} | ||
x^+ \equiv \frac{1}{\sqrt{2}} (X^0 + X^1) \\ | ||
x^- \equiv \frac{1}{\sqrt{2}} (X^0 - X^1) | ||
\end{align*} | ||
} | ||
while other spatial coordinates remain unchanged. Thus the complete set of | ||
light-cone coordinates is #{(x^+,x^-,x^2,x^3)}. | ||
} |
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