dc.contributor.author |
Low, Lerh Feng |
|
dc.contributor.author |
Easther, Richard |
|
dc.contributor.author |
Hotchkiss, Shaun |
|
dc.date.accessioned |
2022-04-12T02:21:55Z |
|
dc.date.available |
2022-04-12T02:21:55Z |
|
dc.identifier.citation |
21 Jul 2021, Arxiv, 22 pages |
|
dc.identifier.uri |
https://hdl.handle.net/2292/58686 |
|
dc.description.abstract |
Random, multifield functions can set generic expectations for landscape-style
cosmologies. We consider the inflationary implications of a landscape defined
by a Gaussian random function, which is perhaps the simplest such scenario.
Many key properties of this landscape, including the distribution of saddles as
a function of height in the potential, depend only on its dimensionality, $N$,
and a single parameter, ${\gamma}$, which is set by the power spectrum of the
random function. We show that for saddles with a single downhill direction the
negative mass term grows smaller, relative to the average mass, as $N$
increases, a result with potential implications for the ${\eta}$-problem in
landscape scenarios. For some power spectra Planck-scale saddles have ${\eta}
\sim 1$ and eternal, topological inflation would be common in these scenarios.
Lower-lying saddles typically have large ${\eta}$, but the fraction of these
saddles which would support inflation is computable, allowing us to identify
which scenarios can deliver a universe that resembles ours. Finally, by drawing
inferences about the relative viability of different multiverse proposals we
also illustrate ways in which quantitative analyses of multiverse scenarios are
feasible. |
|
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
|
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
|
dc.rights.uri |
https://arxiv.org/licenses/nonexclusive-distrib/1.0/license.html |
|
dc.subject |
hep-th |
|
dc.subject |
hep-th |
|
dc.subject |
astro-ph.CO |
|
dc.subject |
cond-mat.stat-mech |
|
dc.title |
Inflation in a Gaussian Random Landscape |
|
dc.type |
Journal Article |
|
dc.identifier.doi |
10.48550/arXiv.2107.09870 |
|
dc.date.updated |
2022-03-09T11:32:59Z |
|
dc.rights.holder |
Copyright: The author |
en |
pubs.author-url |
http://arxiv.org/abs/2107.09870v2 |
|
dc.rights.accessrights |
http://purl.org/eprint/accessRights/OpenAccess |
en |
pubs.elements-id |
861510 |
|