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Optimal Navigation in a Plasma Medium 
Nathaniel J. Fisch 
General Plasma Technologies LLC 
Princeton NJ 
NIAC Phase I Report 
Arlington VA 
March 24, 2004
Constraints on TravelAB 
Get from A to B 
incurring the least energy cost in finite time
Entropy in Travel 
Suppose travel from point A to point B in a frictional medium. If the friction is proportional to v, then the 
power dissipated is proportional to v2. Since the time of travel varies inversely with v, it means that the energy spent goes as v. So small energy consumption is at the expense of long travel time. 
However, this argument is dynamic (depends on friction model), not statistical mechanical. In principle, in moving from point A to point B, the entropy of the system can be left constant. Travel in finite time at zero energy consumption does not appear to be excluded by thermodynamic arguments.
Accessing Ambient Momentum 
“Maxwell demon” cannot change entropy 
But what about riding long wavelength ambient 
equilibrium fluctuations. Note: in plasma long wavelength 
fluctuations dominate energy spectrum.
RadiometerEvacuated chamber 
Depending on how “evacuated” the chamber is, the radiometer spins one way or the other
Momentum Transfer to Plasma Medium 
1.Passive (compare to radiometer) 
2.Active (make medium active) 
3.Hamiltonian vs Dissipative constraints 
4.Eject plasma waves 
5.Use large scale fluctuations (Szilard engine) 
Propulsion ParadigmsCarryreflectscoopabsorbtransmitabsorbtransmit
“Accessing” Ambient Momentum 
Suppose incoming momentum streams do not collide the same amount with target plasma 
A 
B 
There are equal numbers of ambient particles impinging on plasmatrap. 
Suppose particle Bis more collisional than particle A. Then it drops 
more momentum in the trap than does particle A. We put energy into 
particle Ato accomplish this. 
But it might be efficient to do so. And it uses no propellant.
Asymmetric Momentum Transfer (active) Vehicle 
B 
Rf waves
Asymmetric Slowing Down in Plasma Cyclotron motion v⊥ 12tI21| |v ω− 
ˆ 
k ⋅ ˆ v =nΩΩ≡eBm
Radio Frequency “Surfing” EffectVph= ω/kVV ω− 
ˆ k ⋅ ˆ v =0v→v+ Resonance conditionΔvΔE=mnvΔvJ=enΔvPD=νΔEJPD=emvν(v) Fisch (1978)ν(v)≈v-3
Examples of Asymmetric Absorption (1D) 
v 
v+Δv 
vf 
Rf module“slowing-down” module v(x,v0)=v04−4Γx()14dvdt=v∂v ∂x=− Γv3v Lv 
x 
Momentum transfer is “anomalous” if dv0−vf() dv0<0
Passive Asymmetric Absorption 
v 
v-νd 
vf 
d 
L 
“slowing-down” module I 
“slowing-down” module II 
dvdt=v∂v ∂x=−νvdvdt=v∂v ∂x=− Γv3v 
Particles coming from left suffer small slowing down in 
module I which results in large slowing down in module II, 
if vf (v-νd,L)≅0. 
Yet particles coming from right have small slowing down in 
module II and then small slowing down in module I
Accessing Ambient Momentum --non-dissipative 
Suppose incoming momentum streams do not collide the same amount with target plasma 
For example, try a ponderomotive potential with sign reversal 
So-called “one-way magnetic wall”
Implementation of Asymmetric Ponderomotive Force 
BE2Vehicle
Usual (Symmetric) Ponderomotive Potential 
Ψ(z)=12mvosc2(z) ω2 ω2−Ω2⎡ ⎣ ⎢ ⎤ ⎦ ⎥ Z= 0ZSuppose Ω=Ω(z) E2 
Ponderomotive Potential
Z= 0Z2Z1IIIIIZωΩ(z) IE2E2Z= 0Z2Z1IIIIIZI Φ() Ponderomotive Force with Resonance and Sign Reversal“one-way magnetic wall” Fisch, Rax, and Dodin
Asymmetric ponderomotive barrier 
Resonant ponderomotive barrier 
with nonuniform dc magnetic field 
Ponderomotive barrier 
without dc magnetic field 
QuickTime™ and aCinepak decompressorare needed to see this picture. QuickTime™ and aCinepak decompressorare needed to see this picture. 
rf wave region
Asymmetric barrier with reduced heating 
QuickTime™ and aCinepak decompressorare needed to see this picture.
Phase Space Rearrangementsv⊥ | |vGardener restackingJ≠0 
But not energy optimizedEntropy conserving“Optimum demon”
Summary 
Advantages of Plasma 
1.Capture and hold plasma particles (propellant utilization) 
2.Passive asymmetric momentum transfer 
3.Active momentum control (dissipative or Hamiltonian) 
4.Reject momentum using plasma waves 
5.Reject heat at low frequency using plasma waves (speculative heat engine) 
6.Exploit long scale equilibrium fluctuations for navigation (speculative Maxwell demon)

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Plasma medium

  • 1. Optimal Navigation in a Plasma Medium Nathaniel J. Fisch General Plasma Technologies LLC Princeton NJ NIAC Phase I Report Arlington VA March 24, 2004
  • 2. Constraints on TravelAB Get from A to B incurring the least energy cost in finite time
  • 3. Entropy in Travel Suppose travel from point A to point B in a frictional medium. If the friction is proportional to v, then the power dissipated is proportional to v2. Since the time of travel varies inversely with v, it means that the energy spent goes as v. So small energy consumption is at the expense of long travel time. However, this argument is dynamic (depends on friction model), not statistical mechanical. In principle, in moving from point A to point B, the entropy of the system can be left constant. Travel in finite time at zero energy consumption does not appear to be excluded by thermodynamic arguments.
  • 4. Accessing Ambient Momentum “Maxwell demon” cannot change entropy But what about riding long wavelength ambient equilibrium fluctuations. Note: in plasma long wavelength fluctuations dominate energy spectrum.
  • 5. RadiometerEvacuated chamber Depending on how “evacuated” the chamber is, the radiometer spins one way or the other
  • 6. Momentum Transfer to Plasma Medium 1.Passive (compare to radiometer) 2.Active (make medium active) 3.Hamiltonian vs Dissipative constraints 4.Eject plasma waves 5.Use large scale fluctuations (Szilard engine) Propulsion ParadigmsCarryreflectscoopabsorbtransmitabsorbtransmit
  • 7. “Accessing” Ambient Momentum Suppose incoming momentum streams do not collide the same amount with target plasma A B There are equal numbers of ambient particles impinging on plasmatrap. Suppose particle Bis more collisional than particle A. Then it drops more momentum in the trap than does particle A. We put energy into particle Ato accomplish this. But it might be efficient to do so. And it uses no propellant.
  • 8. Asymmetric Momentum Transfer (active) Vehicle B Rf waves
  • 9. Asymmetric Slowing Down in Plasma Cyclotron motion v⊥ 12tI21| |v ω− ˆ k ⋅ ˆ v =nΩΩ≡eBm
  • 10. Radio Frequency “Surfing” EffectVph= ω/kVV ω− ˆ k ⋅ ˆ v =0v→v+ Resonance conditionΔvΔE=mnvΔvJ=enΔvPD=νΔEJPD=emvν(v) Fisch (1978)ν(v)≈v-3
  • 11. Examples of Asymmetric Absorption (1D) v v+Δv vf Rf module“slowing-down” module v(x,v0)=v04−4Γx()14dvdt=v∂v ∂x=− Γv3v Lv x Momentum transfer is “anomalous” if dv0−vf() dv0<0
  • 12. Passive Asymmetric Absorption v v-νd vf d L “slowing-down” module I “slowing-down” module II dvdt=v∂v ∂x=−νvdvdt=v∂v ∂x=− Γv3v Particles coming from left suffer small slowing down in module I which results in large slowing down in module II, if vf (v-νd,L)≅0. Yet particles coming from right have small slowing down in module II and then small slowing down in module I
  • 13. Accessing Ambient Momentum --non-dissipative Suppose incoming momentum streams do not collide the same amount with target plasma For example, try a ponderomotive potential with sign reversal So-called “one-way magnetic wall”
  • 14. Implementation of Asymmetric Ponderomotive Force BE2Vehicle
  • 15. Usual (Symmetric) Ponderomotive Potential Ψ(z)=12mvosc2(z) ω2 ω2−Ω2⎡ ⎣ ⎢ ⎤ ⎦ ⎥ Z= 0ZSuppose Ω=Ω(z) E2 Ponderomotive Potential
  • 16. Z= 0Z2Z1IIIIIZωΩ(z) IE2E2Z= 0Z2Z1IIIIIZI Φ() Ponderomotive Force with Resonance and Sign Reversal“one-way magnetic wall” Fisch, Rax, and Dodin
  • 17. Asymmetric ponderomotive barrier Resonant ponderomotive barrier with nonuniform dc magnetic field Ponderomotive barrier without dc magnetic field QuickTime™ and aCinepak decompressorare needed to see this picture. QuickTime™ and aCinepak decompressorare needed to see this picture. rf wave region
  • 18. Asymmetric barrier with reduced heating QuickTime™ and aCinepak decompressorare needed to see this picture.
  • 19. Phase Space Rearrangementsv⊥ | |vGardener restackingJ≠0 But not energy optimizedEntropy conserving“Optimum demon”
  • 20. Summary Advantages of Plasma 1.Capture and hold plasma particles (propellant utilization) 2.Passive asymmetric momentum transfer 3.Active momentum control (dissipative or Hamiltonian) 4.Reject momentum using plasma waves 5.Reject heat at low frequency using plasma waves (speculative heat engine) 6.Exploit long scale equilibrium fluctuations for navigation (speculative Maxwell demon)