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Relative scalar

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In mathematics, a relative scalar (of weight w) is a scalar-valued function whose transform under a coordinate transform,

x ¯ j = x ¯ j ( x i ) {\displaystyle {\bar {x}}^{j}={\bar {x}}^{j}(x^{i})}

on an n-dimensional manifold obeys the following equation

f ¯ ( x ¯ j ) = J w f ( x i ) {\displaystyle {\bar {f}}({\bar {x}}^{j})=J^{w}f(x^{i})}

where

J = | ( x 1 , , x n ) ( x ¯ 1 , , x ¯ n ) | , {\displaystyle J=\left|{\dfrac {\partial (x_{1},\ldots ,x_{n})}{\partial ({\bar {x}}^{1},\ldots ,{\bar {x}}^{n})}}\right|,}

that is, the determinant of the Jacobian of the transformation. A scalar density refers to the w = 1 {\displaystyle w=1} case.

Relative scalars are an important special case of the more general concept of a relative tensor.

Ordinary scalar

An ordinary scalar or absolute scalar refers to the w = 0 {\displaystyle w=0} case.

If x i {\displaystyle x^{i}} and x ¯ j {\displaystyle {\bar {x}}^{j}} refer to the same point P {\displaystyle P} on the manifold, then we desire f ¯ ( x ¯ j ) = f ( x i ) {\displaystyle {\bar {f}}({\bar {x}}^{j})=f(x^{i})} . This equation can be interpreted two ways when x ¯ j {\displaystyle {\bar {x}}^{j}} are viewed as the "new coordinates" and x i {\displaystyle x^{i}} are viewed as the "original coordinates". The first is as f ¯ ( x ¯ j ) = f ( x i ( x ¯ j ) ) {\displaystyle {\bar {f}}({\bar {x}}^{j})=f(x^{i}({\bar {x}}^{j}))} , which "converts the function to the new coordinates". The second is as f ( x i ) = f ¯ ( x ¯ j ( x i ) ) {\displaystyle f(x^{i})={\bar {f}}({\bar {x}}^{j}(x^{i}))} , which "converts back to the original coordinates. Of course, "new" or "original" is a relative concept.

There are many physical quantities that are represented by ordinary scalars, such as temperature and pressure.

Weight 0 example

Suppose the temperature in a room is given in terms of the function f ( x , y , z ) = 2 x + y + 5 {\displaystyle f(x,y,z)=2x+y+5} in Cartesian coordinates ( x , y , z ) {\displaystyle (x,y,z)} and the function in cylindrical coordinates ( r , t , h ) {\displaystyle (r,t,h)} is desired. The two coordinate systems are related by the following sets of equations: r = x 2 + y 2 t = arctan ( y / x ) h = z {\displaystyle {\begin{aligned}r&={\sqrt {x^{2}+y^{2}}}\\t&=\arctan(y/x)\\h&=z\end{aligned}}} and x = r cos ( t ) y = r sin ( t ) z = h . {\displaystyle {\begin{aligned}x&=r\cos(t)\\y&=r\sin(t)\\z&=h.\end{aligned}}}

Using f ¯ ( x ¯ j ) = f ( x i ( x ¯ j ) ) {\displaystyle {\bar {f}}({\bar {x}}^{j})=f(x^{i}({\bar {x}}^{j}))} allows one to derive f ¯ ( r , t , h ) = 2 r cos ( t ) + r sin ( t ) + 5 {\displaystyle {\bar {f}}(r,t,h)=2r\cos(t)+r\sin(t)+5} as the transformed function.

Consider the point P {\displaystyle P} whose Cartesian coordinates are ( x , y , z ) = ( 2 , 3 , 4 ) {\displaystyle (x,y,z)=(2,3,4)} and whose corresponding value in the cylindrical system is ( r , t , h ) = ( 13 , arctan ( 3 / 2 ) , 4 ) {\displaystyle (r,t,h)=({\sqrt {13}},\arctan {(3/2)},4)} . A quick calculation shows that f ( 2 , 3 , 4 ) = 12 {\displaystyle f(2,3,4)=12} and f ¯ ( 13 , arctan ( 3 / 2 ) , 4 ) = 12 {\displaystyle {\bar {f}}({\sqrt {13}},\arctan {(3/2)},4)=12} also. This equality would have held for any chosen point P {\displaystyle P} . Thus, f ( x , y , z ) {\displaystyle f(x,y,z)} is the "temperature function in the Cartesian coordinate system" and f ¯ ( r , t , h ) {\displaystyle {\bar {f}}(r,t,h)} is the "temperature function in the cylindrical coordinate system".

One way to view these functions is as representations of the "parent" function that takes a point of the manifold as an argument and gives the temperature.

The problem could have been reversed. One could have been given f ¯ {\displaystyle {\bar {f}}} and wished to have derived the Cartesian temperature function f {\displaystyle f} . This just flips the notion of "new" vs the "original" coordinate system.

Suppose that one wishes to integrate these functions over "the room", which will be denoted by D {\displaystyle D} . (Yes, integrating temperature is strange but that's partly what's to be shown.) Suppose the region D {\displaystyle D} is given in cylindrical coordinates as r {\displaystyle r} from [ 0 , 2 ] {\displaystyle } , t {\displaystyle t} from [ 0 , π / 2 ] {\displaystyle } and h {\displaystyle h} from [ 0 , 2 ] {\displaystyle } (that is, the "room" is a quarter slice of a cylinder of radius and height 2). The integral of f {\displaystyle f} over the region D {\displaystyle D} is 0 2 0 2 2 x 2 0 2 f ( x , y , z ) d z d y d x = 16 + 10 π . {\displaystyle \int _{0}^{2}\!\int _{0}^{\sqrt {2^{2}-x^{2}}}\!\int _{0}^{2}\!f(x,y,z)\,dz\,dy\,dx=16+10\pi .} The value of the integral of f ¯ {\displaystyle {\bar {f}}} over the same region is 0 2 0 π / 2 0 2 f ¯ ( r , t , h ) d h d t d r = 12 + 10 π . {\displaystyle \int _{0}^{2}\!\int _{0}^{\pi /2}\!\int _{0}^{2}\!{\bar {f}}(r,t,h)\,dh\,dt\,dr=12+10\pi .} They are not equal. The integral of temperature is not independent of the coordinate system used. It is non-physical in that sense, hence "strange". Note that if the integral of f ¯ {\displaystyle {\bar {f}}} included a factor of the Jacobian (which is just r {\displaystyle r} ), we get 0 2 0 π / 2 0 2 f ¯ ( r , t , h ) r d h d t d r = 16 + 10 π , {\displaystyle \int _{0}^{2}\!\int _{0}^{\pi /2}\!\int _{0}^{2}\!{\bar {f}}(r,t,h)r\,dh\,dt\,dr=16+10\pi ,} which is equal to the original integral but it is not however the integral of temperature because temperature is a relative scalar of weight 0, not a relative scalar of weight 1.

Weight 1 example

If we had said f ( x , y , z ) = 2 x + y + 5 {\displaystyle f(x,y,z)=2x+y+5} was representing mass density, however, then its transformed value should include the Jacobian factor that takes into account the geometric distortion of the coordinate system. The transformed function is now f ¯ ( r , t , h ) = ( 2 r cos ( t ) + r sin ( t ) + 5 ) r {\displaystyle {\bar {f}}(r,t,h)=(2r\cos(t)+r\sin(t)+5)r} . This time f ( 2 , 3 , 4 ) = 12 {\displaystyle f(2,3,4)=12} but f ¯ ( 13 , arctan ( 3 / 2 ) , 4 ) = 12 29 {\displaystyle {\bar {f}}({\sqrt {13}},\arctan {(3/2)},4)=12{\sqrt {29}}} . As before is integral (the total mass) in Cartesian coordinates is 0 2 0 2 2 x 2 0 2 f ( x , y , z ) d z d y d x = 16 + 10 π . {\displaystyle \int _{0}^{2}\!\int _{0}^{\sqrt {2^{2}-x^{2}}}\!\int _{0}^{2}\!f(x,y,z)\,dz\,dy\,dx=16+10\pi .} The value of the integral of f ¯ {\displaystyle {\bar {f}}} over the same region is 0 2 0 π / 2 0 2 f ¯ ( r , t , h ) d h d t d r = 16 + 10 π . {\displaystyle \int _{0}^{2}\!\int _{0}^{\pi /2}\!\int _{0}^{2}\!{\bar {f}}(r,t,h)\,dh\,dt\,dr=16+10\pi .} They are equal. The integral of mass density gives total mass which is a coordinate-independent concept. Note that if the integral of f ¯ {\displaystyle {\bar {f}}} also included a factor of the Jacobian like before, we get 0 2 0 π / 2 0 2 f ¯ ( r , t , h ) r d h d t d r = 24 + 40 π / 3 , {\displaystyle \int _{0}^{2}\!\int _{0}^{\pi /2}\!\int _{0}^{2}\!{\bar {f}}(r,t,h)r\,dh\,dt\,dr=24+40\pi /3,} which is not equal to the previous case.

Other cases

Weights other than 0 and 1 do not arise as often. It can be shown the determinant of a type (0,2) tensor is a relative scalar of weight 2.

See also

References

  1. Lovelock, David; Rund, Hanno (1 April 1989). "4". Tensors, Differential Forms, and Variational Principles (Paperback). Dover. p. 103. ISBN 0-486-65840-6. Retrieved 19 April 2011.
  2. Veblen, Oswald (2004). Invariants of Quadratic Differential Forms. Cambridge University Press. p. 21. ISBN 0-521-60484-2. Retrieved 3 October 2012.
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