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9218fdac9bacece77e709fe79d2294851132c84e
subsection
34
52
Proof of Things
Now consider the function \varepsilon f^{\prime } with \varepsilon >0, it's clear that\tau _P(\mathbb {P}\Vert \mathbb {Q})\ge \tau _P(\mathbb {P}\Vert \mathbb {Q};\varepsilon f^{\prime }) =\varepsilon (\underbrace{\mathbb {E}_{\mathbb {P}}[f^{\prime }]-\mathbb {E}_{\mathbb {Q}}[f^{\prime }]}_{\ge \frac{\mu }{2}}) -\va...
{ "cite_spans": [] }
1802.04591
First Order Generative Adversarial Networks
[ "Calvin Seward", "Thomas Unterthiner", "Urs Bergmann", "Nikolay Jetchev", "Sepp Hochreiter" ]
[ "cs.LG", "stat.ML" ]
2,018
en
Computer Science
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e00bb285e7794391b98b3fa440694c9dbb95c7e3
subsection
35
52
Proof of Things
Every f^*\in \operatorname{OC}_{\tau _F}(\mathbb {P},\mathbb {Q}^{\prime }_{\theta _0}) is in \operatorname{OC}_{\tau _P}(\mathbb {P},\mathbb {Q}^{\prime }_{\theta _0})\subseteq C^1(X), therefore f^* the gradient \nabla _\theta \mathbb {E}_{\mathbb {Q}_\theta }[f^*]|_{\theta _0} exists. Further Lemma REF shows that th...
{ "cite_spans": [] }
1802.04591
First Order Generative Adversarial Networks
[ "Calvin Seward", "Thomas Unterthiner", "Urs Bergmann", "Nikolay Jetchev", "Sepp Hochreiter" ]
[ "cs.LG", "stat.ML" ]
2,018
en
Computer Science
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05c44ee984d55eca52ff298ce9d7d43176d8e31c
subsection
36
52
Proof of Things
Thenthere exists f^*\in \operatorname{OC}_{\tau _P}(\mathbb {P},\mathbb {Q}) so that \tau _F(\mathbb {P}\Vert \mathbb {Q};f^*)=\tau _P(\mathbb {P}\Vert \mathbb {Q};f^*), \tau _P(\mathbb {P}\Vert \mathbb {Q})=\tau _F(\mathbb {P}\Vert \mathbb {Q}), \emptyset \ne \operatorname{OC}_{\tau _F}(\mathbb {P},\mathbb {Q}), \o...
{ "cite_spans": [] }
1802.04591
First Order Generative Adversarial Networks
[ "Calvin Seward", "Thomas Unterthiner", "Urs Bergmann", "Nikolay Jetchev", "Sepp Hochreiter" ]
[ "cs.LG", "stat.ML" ]
2,018
en
Computer Science
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aa5686e341fa911ef6cca8e2a1483f0387357c46
subsection
37
52
Proof of Things
Then Lemma REF tells us there is a f\in \operatorname{OC}_{\tau _P}(\mathbb {P},\mathbb {Q}) (and thus f\in C^1(X)) such that\forall x^{\prime }\in \Omega :\quad \mathbb {E}_{\tilde{x}\sim \mathbb {P}}\left[\frac{f(\tilde{x})-f(x^{\prime })}{\Vert \tilde{x}-x^{\prime }\Vert }\right]=\frac{1}{2\lambda }and thus, because...
{ "cite_spans": [] }
1802.04591
First Order Generative Adversarial Networks
[ "Calvin Seward", "Thomas Unterthiner", "Urs Bergmann", "Nikolay Jetchev", "Sepp Hochreiter" ]
[ "cs.LG", "stat.ML" ]
2,018
en
Computer Science
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e07ae57d38d9d4a14d58c4d27c5a700d4769ac2c
subsection
38
52
Proof of Things
The claims are a direct result of Claim (1); for every \mathbb {P},\mathbb {Q}\in \mathcal {P}(X) there exists af^*\in \operatorname{OC}_{\tau _P}(\mathbb {P},\mathbb {Q})such that G(\mathbb {P},\mathbb {Q};f^*)=0. Therefore\tau _P(\mathbb {P}\Vert \mathbb {Q})\ge \tau _F(\mathbb {P}\Vert \mathbb {Q})\ge \tau _F(\mathb...
{ "cite_spans": [] }
1802.04591
First Order Generative Adversarial Networks
[ "Calvin Seward", "Thomas Unterthiner", "Urs Bergmann", "Nikolay Jetchev", "Sepp Hochreiter" ]
[ "cs.LG", "stat.ML" ]
2,018
en
Computer Science
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bd0c6dc44952472cb68a41ed1eeb4c97cb45bf20
subsection
39
52
Proof of Things
This claim is a direct result of claim (2); since \tau _P(\mathbb {P}\Vert \mathbb {Q})=\tau _F(\mathbb {P}\Vert \mathbb {Q}), that means that if f^*\in \operatorname{OC}_{\tau _F}(\mathbb {P}\Vert \mathbb {Q}), then\tau _F(\mathbb {P}\Vert \mathbb {Q})=\tau _F(\mathbb {P}\Vert \mathbb {Q};f^*)=\tau _P(\mathbb {P}\Vert...
{ "cite_spans": [] }
1802.04591
First Order Generative Adversarial Networks
[ "Calvin Seward", "Thomas Unterthiner", "Urs Bergmann", "Nikolay Jetchev", "Sepp Hochreiter" ]
[ "cs.LG", "stat.ML" ]
2,018
en
Computer Science
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b08861c30f1337f220e5f5b32d2ab0645fd27c97
subsection
40
52
Proof of Things
REF we see,&\mathbb {E}_{x\sim \mathbb {P}}\left[\frac{f^*(x)-f^*(x^{\prime }+\varepsilon v)}{\Vert x-(x^{\prime }+\varepsilon v)\Vert }\right]\\ =&\varepsilon \left\langle v,\nabla _{\hat{x}}\mathbb {E}_{x\sim \mathbb {P}}\left[\frac{f^*(x)-f^*(\hat{x})}{\Vert x-\hat{x}\Vert }\right]\bigg |_{x^{\prime }}\right\rangle ...
{ "cite_spans": [] }
1802.04591
First Order Generative Adversarial Networks
[ "Calvin Seward", "Thomas Unterthiner", "Urs Bergmann", "Nikolay Jetchev", "Sepp Hochreiter" ]
[ "cs.LG", "stat.ML" ]
2,018
en
Computer Science
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74529356f8141255fb94f9ae16c2a803ca92f724
subsection
41
52
Proof of Things
\ref {E:slope} and definition of }\mathbb {Q}^{\prime }} \frac{f^*(\tilde{x})-f^*(x^{\prime })}{\Vert x^{\prime }-\tilde{x}\Vert ^3}\right]}{\left\Vert \mathbb {E}_{\tilde{x}\sim \mathbb {P}}\left[(\tilde{x}- x^{\prime })\frac{f^*(\tilde{x})-f^*(x^{\prime })}{\Vert x^{\prime }-\tilde{x}\Vert ^3}\right]\right\Vert } +\m...
{ "cite_spans": [] }
1802.04591
First Order Generative Adversarial Networks
[ "Calvin Seward", "Thomas Unterthiner", "Urs Bergmann", "Nikolay Jetchev", "Sepp Hochreiter" ]
[ "cs.LG", "stat.ML" ]
2,018
en
Computer Science
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55be67bdb097dfd7c66cf15a05aa24a08fa5c5e1
subsection
42
52
Proof of Things
REF gives us\forall x^{\prime }\in \operatorname{supp}(\mathbb {Q}^{\prime }):\quad \nabla _x\mathbb {E}_{\tilde{x}\sim \mathbb {P}}\left[\frac{f^*(\tilde{x})-f^*(x)}{\Vert \tilde{x} - x\Vert }\right]\bigg |_{x^{\prime }}=0Lemma 7 Let \mathbb {P} and (\mathbb {Q}_\theta )_{\theta \in \Theta } in \mathcal {P}(X) and fu...
{ "cite_spans": [] }
1802.04591
First Order Generative Adversarial Networks
[ "Calvin Seward", "Thomas Unterthiner", "Urs Bergmann", "Nikolay Jetchev", "Sepp Hochreiter" ]
[ "cs.LG", "stat.ML" ]
2,018
en
Computer Science
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d338cfd7cb15f5484f805e75a400ff9eb85b50a9
subsection
43
52
Proof of Things
Further, if \mathbb {P},\mathbb {Q}_\theta are such that there exits an f with f(x)-f(x^{\prime })=\Vert x-x^{\prime }\Vert for all x\in \operatorname{supp}(\mathbb {P}) and x^{\prime }\in \operatorname{supp}(\mathbb {Q}) then\nabla _\theta \tau _F(\mathbb {P}\Vert \mathbb {Q}^{\prime }_\theta )=-\frac{1}{2}\nabla _\th...
{ "cite_spans": [ { "arxiv_id": "", "doi": "10.1111/1468-0262.00296", "end": 1577, "openalex_id": "https://openalex.org/W2129462326", "raw": "Milgrom, P. and Segal, I. Envelope theorems for arbitrary choice sets. Econometrica, 70(2):583–601, 2002.", "source_ref_id": "68c45c772e...
1802.04591
First Order Generative Adversarial Networks
[ "Calvin Seward", "Thomas Unterthiner", "Urs Bergmann", "Nikolay Jetchev", "Sepp Hochreiter" ]
[ "cs.LG", "stat.ML" ]
2,018
en
Computer Science
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1b8f3e7f3db2fd08558225f0c43d8f20923d405d
subsection
44
52
Proof of Things
Note that if \mathbb {P} and \mathbb {Q}_\theta are such that f^*(x)-f^*(x^{\prime })=c\Vert x - x^{\prime }\Vert is possible everywhere, then this term is equal to zero.\nabla _\theta \tau _F(\mathbb {P}\Vert \mathbb {Q}^{\prime }_\theta )|_{\theta _0} &=\nabla _\theta \mathbb {E}_{\mathbb {P}\otimes \mathbb {Q}^{\pr...
{ "cite_spans": [] }
1802.04591
First Order Generative Adversarial Networks
[ "Calvin Seward", "Thomas Unterthiner", "Urs Bergmann", "Nikolay Jetchev", "Sepp Hochreiter" ]
[ "cs.LG", "stat.ML" ]
2,018
en
Computer Science
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ff0d456bac83bb0da4dfcd2a5d9f1706ab8530e4
subsection
45
52
Proof of Things
Therefore if we set g_\theta (\cdot )=g(\theta ,\cdot ) we get\nabla _\theta \tau _F(\mathbb {P}\Vert \mathbb {Q}^{\prime })|_{\theta _0} =\,&\nabla _\theta \mathbb {E}_{x,\tilde{x}\sim \mathbb {P}, z\sim \mathbb {Z},\alpha \sim \mathcal {U}([0,\varepsilon ])}\left[(f^*(x)-f^*(\alpha \tilde{x} + (1-\alpha )g_\theta (z)...
{ "cite_spans": [] }
1802.04591
First Order Generative Adversarial Networks
[ "Calvin Seward", "Thomas Unterthiner", "Urs Bergmann", "Nikolay Jetchev", "Sepp Hochreiter" ]
[ "cs.LG", "stat.ML" ]
2,018
en
Computer Science
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5a072c4788552dcde39924adea13bec3be7cb660
subsection
46
52
Proof of Things
REF , let the target distribution be the Dirac distribution \delta _0 and the family of generated distributions be the uniform distributions \mathcal {U}([0,\theta ]) with \theta > 0. Then there is no C\in \mathbb {R} that fulfills Eq. REF for all \theta > 0.For convenience, we'll restrict ourselves to the \lambda =1 c...
{ "cite_spans": [] }
1802.04591
First Order Generative Adversarial Networks
[ "Calvin Seward", "Thomas Unterthiner", "Urs Bergmann", "Nikolay Jetchev", "Sepp Hochreiter" ]
[ "cs.LG", "stat.ML" ]
2,018
en
Computer Science
[ -0.05687575414776802, 0.03655426576733589, -0.03887323662638664, -0.0027327975258231163, 0.018277132883667946, 0.014852077700197697, -0.016904059797525406, 0.0006154992734082043, 0.02582903765141964, 0.020214693620800972, -0.011190548539161682, 0.0036691573914140463, -0.019146746024489403, ...
6dae6026e72ae31ecc7478668bdd720fb02e29b9
subsection
47
52
Proof of Things
This gives us u(\theta )=\int _0^\theta u^{\prime }(x)\;dx and thus\int _0^\theta u^{\prime }(x)\;dx+\frac{2}{\theta }\int _0^\theta u^{\prime }(x)(f^{\prime }(x)+1)\;dx = \frac{2}{\theta }\int _0^\theta u^{\prime }(x)\left(\frac{\theta }{2} + f^{\prime }(x)+1\right)\;dx.Therefore, for the optimal critic it holds f^{\p...
{ "cite_spans": [] }
1802.04591
First Order Generative Adversarial Networks
[ "Calvin Seward", "Thomas Unterthiner", "Urs Bergmann", "Nikolay Jetchev", "Sepp Hochreiter" ]
[ "cs.LG", "stat.ML" ]
2,018
en
Computer Science
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14727331a164e53310da2c31819ecbb0c290c5b8
subsection
48
52
CelebA
The parameters used for CelebA training were:'batch_size': 64,'beta1': 0.5,'c_dim': 3,'calculate_slope': True,'checkpoint_dir': 'logs/1127_220919_.0001_.0001/checkpoints','checkpoint_name': None,'counter_start': 0,'data_path': 'celebA_cropped/','dataset': 'celebA','discriminator_batch_norm': False,'epoch': 81,'fid_batc...
{ "cite_spans": [] }
1802.04591
First Order Generative Adversarial Networks
[ "Calvin Seward", "Thomas Unterthiner", "Urs Bergmann", "Nikolay Jetchev", "Sepp Hochreiter" ]
[ "cs.LG", "stat.ML" ]
2,018
en
Computer Science
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65031682f104580a8509b98af41c72a41c5a0cfc
subsection
49
52
CIFAR-10
The parameters used for CIFAR-10 training were:BATCH_SIZE: 64BETA1_D: 0.0BETA1_G: 0.0BETA2_D: 0.9BETA2_G: 0.9BN_D: TrueBN_G: TrueCHECKPOINT_STEP: 5000CRITIC_ITERS: 1DATASET: cifar10DATA_DIR: /data/cifar10/DIM: 32D_LR: 0.0003FID_BATCH_SIZE: 200FID_EVAL_SIZE: 50000FID_SAMPLE_BATCH_SIZE: 1000FID_STEP: 5000GRADIENT_PENALTY...
{ "cite_spans": [] }
1802.04591
First Order Generative Adversarial Networks
[ "Calvin Seward", "Thomas Unterthiner", "Urs Bergmann", "Nikolay Jetchev", "Sepp Hochreiter" ]
[ "cs.LG", "stat.ML" ]
2,018
en
Computer Science
[ -0.0064200893975794315, -0.04479948431253433, -0.07379097491502762, -0.004405943676829338, -0.001077644294127822, -0.03686496987938881, 0.02317793481051922, 0.029006751254200935, -0.01156607922166586, 0.027770796790719032, -0.04638638719916344, -0.013717553578317165, -0.02719096839427948, ...
357241173c300a6a7984fcdab18d9ff7a0d526b0
subsection
50
52
LSUN
The parameters used for LSUN Bedrooms training were:BATCH_SIZE: 64BETA1_D: 0.0BETA1_G: 0.0BETA2_D: 0.9BETA2_G: 0.9BN_D: TrueBN_G: TrueCHECKPOINT_STEP: 4000CRITIC_ITERS: 1DATASET: lsunDATA_DIR: /data/lsunDIM: 64D_LR: 0.0003FID_BATCH_SIZE: 200FID_EVAL_SIZE: 50000FID_SAMPLE_BATCH_SIZE: 1000FID_STEP: 4000GRADIENT_PENALTY: ...
{ "cite_spans": [] }
1802.04591
First Order Generative Adversarial Networks
[ "Calvin Seward", "Thomas Unterthiner", "Urs Bergmann", "Nikolay Jetchev", "Sepp Hochreiter" ]
[ "cs.LG", "stat.ML" ]
2,018
en
Computer Science
[ -0.015849173069000244, -0.019922060891985893, -0.06327465921640396, -0.042528871446847916, -0.01495679933577776, -0.02143223211169243, -0.006292381323873997, 0.00819153618067503, -0.0240559633821249, 0.015193240717053413, -0.039355985820293427, 0.025154270231723785, -0.029166139662265778, ...
a3a7e6a2d172289063f32e7eb24885a975304b27
subsection
51
52
Billion Word
The parameters used for the Billion Word training were one run with the following settings, followed by a second run using initialized with the best saved model from the first run and learning rates divided by 10. Samples from our method and the WGAN-GP baseline can be found in figure REF'activation_d': 'relu','batch_n...
{ "cite_spans": [] }
1802.04591
First Order Generative Adversarial Networks
[ "Calvin Seward", "Thomas Unterthiner", "Urs Bergmann", "Nikolay Jetchev", "Sepp Hochreiter" ]
[ "cs.LG", "stat.ML" ]
2,018
en
Computer Science
[ -0.023006334900856018, 0.0004972564638592303, -0.039452508091926575, -0.014462868683040142, -0.0059651704505085945, -0.02091623656451702, 0.024196317419409752, -0.0006841447902843356, -0.023494532331824303, 0.007216177880764008, -0.05342717841267586, -0.0005330131389200687, -0.00722380587831...
6af1f5cf0322c6c29a34e02c43ce95605db177bc
abstract
0
34
Abstract
To fix a software bug, you must first find it. As software grows in size and complexity, finding bugs is becoming harder. To solve this problem, measures have been developed to rank lines of code according to their "suspiciousness" wrt being faulty. Engineers can then inspect the code in descending order of suspiciousn...
{ "cite_spans": [] }
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
[ -0.07257583737373352, 0.01915111020207405, -0.026597917079925537, -0.019227409735322, 0.013039540499448776, -0.028154421597719193, 0.011635635048151016, -0.013840682804584503, 0.0086904838681221, 0.011902681551873684, -0.028047602623701096, 0.02760506607592106, -0.013306587934494019, 0.038...
674ae8a3c11e1749840cc9f36f8d84036d07f5ec
subsection
1
34
Introduction
Software fault localisation is the problem of quickly identifying the parts of the code that caused an error. Accordingly, the development of effective and efficient methods for fault localisation has the potential to greatly reduce costs, wasted programmer time, and the possibility of catastrophe . In this paper, we f...
{ "cite_spans": [ { "arxiv_id": "", "doi": "10.1145/2001420.2001445", "end": 1347, "openalex_id": "https://openalex.org/W2067436653", "raw": "Chris Parnin and Alessandro Orso. 2011. Are Automated Debugging Techniques Actually Helping Programmers?. In International Symposium on Softwa...
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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be235442cb359d36159da48fb2103573f6175eac
subsection
2
34
Preliminaries
To reconstruct statistical fault localisation (sfl) from the ground up, we must precisely define our terms. sfl conventionally assumes a number of artifacts are available. This includes a program (to perform fault localisation on), a test suite (to test the program on), and some units under test located inside the prog...
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1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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e7e7a81790ba2b26078c51fb5b783230619fbd8b
subsection
3
34
Preliminaries
We let U^* = U - \lbrace e\rbrace and U_{|U|} = e.In Figure REF , the uuts are the statements labeled in comments marked u1, \dots , u4. Accordingly, the set of units is U = \lbrace u_1, u_2, u_3, u_4, e\rbrace .Coverage Matrices. A useful way to represent the coverage details of a test suite is in the form of a covera...
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1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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98b1bb8fb966357dd6fa89a1cc2980bf561305cd
subsection
4
34
Preliminaries
For each u \in U^* s(u_i) is called u_i's degree of suspiciousness, and is defined as a function of u_i's spectrum, which is the vector \langle c_{ef}^i,c_{nf}^i,c_{ep}^i,c_{np}^i \rangle .The intuition behind sbh's is that s(u_i) > s(u_j) just in case u_i is more "suspicious" wrt being faulty than u_j. In spectrum-bas...
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1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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subsection
5
34
Body
We present DoricGiven our goal of providing a simple foundation to statistical fault localisation, we name our framework after this simple type of Greek column, our formal framework based on probability theory. We proceed in four steps. First, we define a set of models to represent the universe of possibilities. Each m...
{ "cite_spans": [] }
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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cf12bf31dbd8407e1d5c4dfeea7fe3334909e45c
subsection
6
34
The Models of Doric
[Figure: Causal Models.]In our framework, classical probabilities are defined in terms of the proportion of models in which a given formula is true. To achieve this, we first define a set of models for our system. We first describe some notation used in the forthcoming definition of models here. Let j \in \mathbb {N} a...
{ "cite_spans": [] }
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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97e2521b30774819190bca5e2cdeb3c0b964adee
subsection
7
34
The Syntax and Semantics of Doric
What sort of hypotheses does the engineer want to estimate the likelihood of? In this section, we present a language fundamental to the fault localisation task. This language includes hypotheses about which line of code was faulty, which caused the error in which test case, etc. We develop such a language as follows. F...
{ "cite_spans": [] }
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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64049ff9cca3dfe2f5b96afefab8ad1aec1f5f63
subsection
8
34
The Syntax and Semantics of Doric
Then the set of valuations is a set V = \lbrace v_1,\dots , v_{|V|} \rbrace , where for each t_k \in T there is some v_k \in V with signature v_k : L \rightarrow 2^M, defined inductively as follows:v_k(u_i) = \lbrace m^j \in M| m_{i,k}^j \in \lbrace 1, \bullet \rbrace \rbrace , for u_i \in U v_k(h_i) = \lbrace m^j \in...
{ "cite_spans": [] }
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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subsection
9
34
The Probability Theory of Doric
We want to determine the probability of a given hypothesis. We do this by presenting our theory of probability. The theory is based around the following assumptions: We assume the engineer does not always know which hypotheses are true of each test case. Accordingly, we want our probabilities about hypotheses to take a...
{ "cite_spans": [] }
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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5a2bfd05c6ae80f34513743682c94a045d85e2b4
subsection
10
34
The Probability Theory of Doric
We then have the following result:For all \phi \in L^*, P(\phi ) = \frac{f(\phi )}{|T|}See Appendix.Using this result, we can identify many sbh's with an intuitive probabilistic expression stated within Doric. For example, P(u_i \wedge e) = c_{ef}^i/|T|, P(u_i \wedge \lnot e) = c_{ep}^i/|T|, P(\lnot u_i \wedge \lnot e)...
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1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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1dd784525c1498ab49d64459f12ea080f7b03817
subsection
11
34
Classical Interpretation
What conditions hold on the relative likelihood function? The question here is which causal models are more likely than others. To illustrate our framework, we will impose conditions on the relative likelihood function to give us a classical interpretation of probability. Informally, probability has a classical interpr...
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1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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42f123b3da83f542555113f7c19fdb3e2e115377
subsection
12
34
Classical Interpretation
Let i \in [0, |U|] and m, t \in [0, |T|] be free variables, and let \rho ^k = {\sum _{u_i \in U^*}} c_{j,k} , then:~ P(f_i) = P(\bigvee \limits _{k = 1}^{|T|} \Diamond _k h_i)~ P(\bigvee \limits _{k = m}^{|T|} \Diamond _k h_i) = (1 - P_k(h_i)P(\bigvee \limits _{j = k+1}^{|T|} \Diamond _j h_i)) + P_k(h_i)~ P_t(h_i) = {\...
{ "cite_spans": [] }
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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subsection
13
34
Measure for Fault Localisation
To develop an efficient fault localisation method based on our framework, we need to do two things. First, we need to identify a probabilistic expression which tells us which unit should be investigated first when looking for faults. Second, we need to identify an efficient way to compute this. In this section, we addr...
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1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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fe2663d5996a0f237fea3fc5fe56859e098c8953
subsection
14
34
Measure for Fault Localisation
Let t \in {[1,|T|]} and i \in {[1,|U|]}, then:P(H_i|u_i) = \frac{P(H_i \wedge u_i)}{P(u_i)}P(H_i \wedge u_i) = P(H_i)P(H_i) = \sum _{k} \frac{P_k(H_i)}{|T|}P_t(H_i) = {\left\lbrace \begin{array}{ll} \end{array}{1}/{(2^{\rho _t}-1)} \:\:\:\:\:\:\:\:\: \textrm {if} \: c_{i,t}, e_{t} = 1 \\ \right.0 \:\:\:\:\:\:\:\:\:\:\:...
{ "cite_spans": [] }
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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80db85a1955766b766a5d9a55da2392d6fbf76a9
subsection
15
34
Measure for Fault Localisation
Thus, P_k(H_i) = c_{i,k}e_k / 2^{\rho _k -1}.To illustrate cl, we find P(H_i|u_i) for each of u_1,\dots ,u_4 for the the running example of minmax.c. We begin with P(H_1|u_1). We begin by evaluating the numerator of Eq. REF , which is equal to (0 x 0) / (2^{2}- 1) + (0 \times 0) / (2^{2}- 1) + (0 \times 0) / (2^{1}- 1)...
{ "cite_spans": [] }
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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subsection
16
34
Semi-Automated Methods
We now address the question of how to use Eq REF in a fault localisation method. We present two such methods. We then compare our methods to sbfl.Our first method is similar to the sbfl procedure discussed in Section . Here, each u_i \in U is associated with a causal likelihood, as determined by using Eq. REF . The eng...
{ "cite_spans": [] }
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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6d801237b759fd1793aea717cac9cecb5ab6b393
subsection
17
34
Semi-Automated Methods
We think it is desirable for a fault localisation method to satisfy a similar property. Accordingly, in this section we show that conditioning on causal likelihood (as per the method of cl_u ) satisfies a similar property, as follows:Let c be a coverage matrix where c_{i,k} = c_{j,k} = 1 for some t_k \in T. Then P(H_i|...
{ "cite_spans": [] }
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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subsection
18
34
Semi-Automated Methods
At step one, for all u_i \in U, P(H_i|u_i) = 1/3. Suppose the engineer learns u_1 is not faulty. Thus, the engineer evaluates all u_i \in U - \lbrace u_1\rbrace next. P(H_2|u_2 \wedge \lnot h_1) = 1, and remain P(H_3|u_3 \wedge \lnot h_1) = P(H_3|u_3 \wedge \lnot h_1) = 1/3.
{ "cite_spans": [] }
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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subsection
19
34
Empirical Evaluation
In this section, we compare the performance of our new methods with all known 127 sbhs on large faulty programs. The goal of the experiment is to establish whether cl_n and cl_u are effective at fault localisation than sbhs .
{ "cite_spans": [] }
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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8047e6349d421b403269c6d96d7097e3a6d80b13
subsection
20
34
Setup
We first present the benchmarks used in our experiment, then describe the methods compared in the experiment, the methods we used to evaluate the performance of the different methods. Finally, we present some research questions for our experiment to answer.We first describe the benchmarks used in our experiments. We us...
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1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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cc1aa52930ca444cd9acfad2a12d6dedfee6f2cc
subsection
21
34
Setup
These measures are described in Landsberg , and is an attempt at an exhaustive list of sbhs available in the literatureFollowing established conventions on avoiding divisions by zero with the sbhs, we added 0.5 to each of the elements of a spectrum , . As a baseline for our comparison, we also compared the constant mea...
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1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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6e70a846dae6cc73f3ba2012c107996195ed0b5b
subsection
22
34
Results
We first directly answer our two research questions. First, Which method is the most accurate? For Defects4j cl_n has the best accuracy score (213.6). For Steimann's benchmarks, cl_u has the best accuracy score (4.9) (cl_n came second with 5.02). Second, Do our new techniques have the best n-scores for any n \in [0,10]...
{ "cite_spans": [] }
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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59e79644817625b2ce1aabcda4072f266e88169b
subsection
23
34
Results
For each n \in [0,10], and for the set of 2-fault programs, D3 outperformed cl_u or cl_n at every value of n. For each n \in [0,10], and for each of the sets of 4, 8, 16, 32 fault programs, cl_u or cl_n outperformed all sbfl methods at every value of n. cl_u and cl_n n-scores were always similar (+/- 2 percent of on on...
{ "cite_spans": [ { "arxiv_id": "", "doi": "10.1145/2001420.2001445", "end": 1187, "openalex_id": "https://openalex.org/W2067436653", "raw": "Chris Parnin and Alessandro Orso. 2011. Are Automated Debugging Techniques Actually Helping Programmers?. In International Symposium on Softwa...
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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17fd0f65cdb2073abe981d3f70955df6bbd9a887
subsection
24
34
Results
We investigated reasons why for this, and after investigating the cases where cl_n outperforms cl_u in terms of accuracy on Defects4j, we discovered there were two major outliers that made cl_u 's overall accuracy score lower (in Chart-5 cl_u had to investigate 3177 more lines of code, and Math-6 cl_u had to investigat...
{ "cite_spans": [] }
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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b7c43181a158e267c41236e44cbf7ce2cb39a0d4
subsection
25
34
Threats to Validity
Our threats are informed by the recent work of , who perform a similar test on the Defects4j benchmarks, and by Steimann et al., who perform similar experiments on the Steimann benchmarks .The main threat is wrt how well our results generalize to practical instances of fault localisation. Given the variety of programs,...
{ "cite_spans": [ { "arxiv_id": "", "doi": "10.1145/2610384.2628055", "end": 189, "openalex_id": "https://openalex.org/W2156723666", "raw": "René Just, Darioush Jalali, and Michael D. Ernst. 2014. Defects4J: A Database of Existing Faults to Enable Controlled Testing Studies for Java ...
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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61a26265480d393e2c987332934b7fc866a30a2a
subsection
26
34
Related Work
The recent survey of Wong et al.   identifies the most prominent fault localisation methods to be spectrum based , , , , , , , , , slice based , , , , , model based , , , and mutation-based  , . For reasons of space, we discuss closely related statistical approaches.We first discuss sbh, which is one of the most lightw...
{ "cite_spans": [ { "arxiv_id": "", "doi": "10.1109/tse.2016.2521368", "end": 194, "openalex_id": "https://openalex.org/W2343875716", "raw": "W. Eric Wong, Ruizhi Gao, Yihao Li, Rui Abreu, and Franz Wotawa. 2016b. A Survey on Software Fault Localization. IEEE Trans. Softw. Eng. 42, 8...
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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3ccaa10a2d036cc69978fab33128105b9c3a2d41
subsection
27
34
Related Work
Secondly, in fully-automated fault localisation subroutines within algorithms which inductively synthesize (such as cegis ) or repair programs (such as GenProg ). Thirdly, as a technique combined with other methods , , , . Finally, as a potential substitute for heavyweight methods which cannot scale to large programs. ...
{ "cite_spans": [ { "arxiv_id": "", "doi": "10.4204/eptcs.157.10", "end": 162, "openalex_id": "https://openalex.org/W2017565015", "raw": "Susmit Jha and Sanjit A. Seshia. 2014. Are There Good Mistakes? A Theoretical Analysis of CEGIS. In 3rd Workshop on Synthesis (SYNT). 84–99.", ...
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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a3ac701eceef07ed24d5549e5486f18a3a274016
subsection
28
34
Conclusion
In this paper, we have demonstrated there is a principled formal foundation (Doric) available for statistical fault localisation that does not require recourse to spectrum-based heuristics. In general, Doric opens up a world of different meaningful probabilities which can be reported to the engineer to aid in understan...
{ "cite_spans": [ { "arxiv_id": "", "doi": "10.1016/j.infsof.2014.06.014", "end": 1648, "openalex_id": "https://openalex.org/W2065111847", "raw": "Tihana Galinac Grbac and Darko Huljenić. 2015. On the probability distribution of faults in complex software systems. Information and Sof...
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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7bdd18f01c43e5608f1bc0f7c9ad08362f5a67a9
subsection
29
34
Proofs
In this appendix, we present the proofs supporting the main text. To simplify, we have put a proof later in our order of presentation if a part of that proof relies on a part of an earlier proof.To aid in the proofs we introduce some notation. For each m^j \in M, m^j_{i,k} is the value at the ith column and kth row. m^...
{ "cite_spans": [] }
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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d8d88787cd6645995505e8f53075c8e8b2e1398f
subsection
30
34
Proofs
3 and 2). = \lbrace m^j|m^j_{1,k} = 2\rbrace \cap \lbrace m^j|m^j_{1,k} \in \lbrace 1,0\rbrace \rbrace \cap \dots = \lbrace m^j|m^j_{1,k} = 2 \wedge m^j_{1,k} \in \lbrace 1,0\rbrace \wedge \dots \rbrace = \lbrace m^j|m^j_{1,k} \in \lbrace 1,2\rbrace \wedge m^j_{1,k} = 2 \wedge m^j_{1,k} \in \lbrace 1,0\rbrace \wedge ...
{ "cite_spans": [] }
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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460a2b81d7935643895149e01f638cc364ee0cb6
subsection
31
34
Proofs
REF and H_i), and so P_1(H_i) = 0.Equation REF follows using the defs.We must show P(u_i) = \sum _k c_{i,k}/|T|. P(u_i) is equal to f(u_i)/|T| (by proposition REF ). The latter is equal to \sum _k f_k(u_i)/|T|. It remains to show f_k(u_i) = c_{i,k}, for both cases when c_{i,k} is 1 or 0 (given c is a Boolean matrix). A...
{ "cite_spans": [] }
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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0316e03cf46a30fdab36107567985254db89d007
subsection
32
34
Proofs
Given indifference, let w(\lbrace m^k\rbrace ) = x \times |\lbrace m^k\rbrace |. Then P_k(\phi ) = \sum _{i=1}^{j} x|\lbrace m^i\rbrace | / \sum _{k=1}^{|M|} x|\lbrace m^k\rbrace | (by substitution). Thus, P_k(\phi ) = x\sum _{i=1}^{j} |\lbrace m^i\rbrace | / x\sum _{k=1}^{|M|} |\lbrace m^k\rbrace | (by distribution). ...
{ "cite_spans": [] }
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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003a916fdde83bbea1294fcf8aee9ea07abc391f
subsection
33
34
Proofs
Equivalently, \sum _k |v_k(u_i)| > \sum _k |v_k(u_i) \cap (M - v(h_j)))| (by def. REF ). It is sufficient to show M - v(h_j) \subset v_k(u_i). v_k(u_i) = M (given c_{i,k} = 1). Thus it suffices to show M - v(h_j) \subset M. To prove this, it is sufficient to show v(h_j) \ne \emptyset . This holds given c_{j,k} = 1 (giv...
{ "cite_spans": [] }
1810.00798
Doric: Foundations for Statistical Fault Localisation
[ "David Landsberg", "Earl Barr" ]
[ "cs.SE" ]
2,018
en
Computer Science
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b70ad9a8fb1c325c2d0fef10226ed014b0db47c4
abstract
0
110
Abstract
The AdS/Ricci-flat (AdS/RF) correspondence is a map between families of asymptotically locally AdS solutions on a torus and families of asymptotically flat spacetimes on a sphere. The aim of this work is to perturbatively extend this map to general AdS and asymptotically flat solutions. A prime application for such map...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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1558a3e4d3a7fb0357100efa570453e1e89ade12
subsection
1
110
Introduction
The advent of the holographic principle , , and its precise realization in the form of the AdS/CFT correspondence , has provided us with deep insights into the nature of spacetime and gravitational forces. This was enabled by special properties of anti-de Sitter (AdS) gravity, that grant better control on the asymptoti...
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10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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756d2abb5618a25ba6940ae032415e502e349923
subsection
2
110
Introduction
It can be used to map families of solutions of AdS gravity to families of solution of vacuum Einstein gravity, and has therefore the potential to enlighten us upon the formulation of holography on Ricci-flat manifolds by mapping to them the well-known holographic tools developed in the context of AdS/CFT. This line of ...
{ "cite_spans": [ { "arxiv_id": "", "doi": "10.1103/physrevd.87.061502", "end": 672, "openalex_id": "https://openalex.org/W2046095207", "raw": "M. M. Caldarelli, J. Camps, B. Goutéraux and K. Skenderis, “AdS/Ricci-flat correspondence,” JHEP 1404 (2014) 071 [arXiv:1312.7874 [hep-th]]....
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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ef64b7612464b151632da5d64a1f2b9948641702
subsection
3
110
Introduction
The map works in the other direction as well: starting from a family of (n+p+3)-dimensional Ricci-flat manifolds that have a round sphere {\mathcal {S}}^{n+1} warped over a (p+2)-dimensional base, one casts their metrics in the form (REF ), reads off the metric \tilde{g}_{ab}(y;n) and the scalar field \tilde{\phi }(y;n...
{ "cite_spans": [ { "arxiv_id": "", "doi": "10.1088/1126-6708/2009/04/062", "end": 1226, "openalex_id": "https://openalex.org/W3105542986", "raw": "I. Kanitscheider and K. Skenderis, “Universal hydrodynamics of non-conformal branes,” JHEP 0904 (2009) 062 doi:10.1088/1126-6708/2009/04...
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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553f0055c7e047c4a555f7f8768dca0ef19d5143
subsection
4
110
Introduction
Moreover, the study of these linear perturbations is the first, necessary step towards translating the AdS/CFT dictionary to AF spacetimes, since these fluctuations of the metric determine the correlation functions of the dual CFT operators .To be more precise, recall that the AdS/RF correspondence maps AdS_{d+1} on th...
{ "cite_spans": [ { "arxiv_id": "", "doi": "10.1088/0264-9381/19/22/306", "end": 242, "openalex_id": "https://openalex.org/W2153274301", "raw": "K. Skenderis, “Lecture notes on holographic renormalization,” Class. Quant. Grav. 19 (2002) 5849 [hep-th/0209067].", "source_ref_id":...
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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ab2d7f4c6ed1327d6886dc579fee27f73caae06e
subsection
5
110
Notation and conventions
On the RF side of the correspondence we consider D=n+p+3 dimensional spacetimes on which define coordinates X^A, and use early capital latin letters A, B, ... for tensor indices. We will use a bar for all quantities defined in these spacetimes, so the metric is \bar{g}_{AB}, the associated covariant derivative \bar{\na...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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9b7f34898648118ba4c2430d091f1811a0c52c64
subsection
6
110
Kaluza-Klein reductions
Our aim is to investigate whether it is possible to perturbatively unfreeze the compact manifolds in the AdS/RF map, i.e. we will start with an AdS/RF pair and ask whether we can map across perturbations that depend on the compact manifolds. We will discuss this in the simplest case where the pair is AdS on a torus/Min...
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10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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9b9b0338c9f2b9544dcf6fe7de9021792af572c7
subsection
7
110
Vacuum Einstein gravity and deformations of Minkowski spacetime
On the one side of the correspondence we have vacuum Einstein gravity in n+p+3 dimensions, by which we simply mean General Relativity with no cosmological constant nor external matter. The equations of motion are \bar{R}_{AB}=0, so that the solutions are Ricci-flat manifolds. Its vacuum is Minkowski spacetime whose met...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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256402979fdc435e549e4073f2346b2a1595a13a
subsection
8
110
AdS gravity and deformations of AdS spacetime
On the other side of the correspondence we have AdS gravity in d+1 dimensions, by which we mean General Relativity in presence of the negative cosmological constant (REF ) and no external matter fields. The field equations are thus \check{G}_{MN}+\Lambda \check{g}_{MN}=0. The vacuum solution in this case is given by Ad...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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fcd4b4133e863d9b398cafd6c971b948ee66e4f3
subsection
9
110
AdS/RF correspondence for perturbations respecting the original Ansätze
Let us pause before performing the full KK reduction to consider how the AdS/RF map acts on these perturbed solutions. When the perturbations respect the Ansätze (REF ) and (REF ), the map goes through in a straightforward way, and it is easy to see how the various components get mapped into one another. This is done i...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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6cf838a2aa438b6341a215eef51a4b4ac3700911
subsection
10
110
Harmonic decomposition of the fields
In order to perform the KK reductions, we first decompose the fields in scalar, vector and tensor components with respect to the reduced manifold, and expand them in harmonics of the compactification space. Thus, the perturbation of the Minkowski spacetime is expanded in spherical harmonics, while the expansion of the ...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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621561908dc25fec89562dabac21ebdbb8b494f9
subsection
11
110
Mode decomposition on
We can use the spherical symmetry of the metric Ansatz (REF ) to decompose the metric perturbation h_{AB}(y^a,\theta ^i) of Minkowski into scalar h_{ab}, vectorial h_{ai}, and tensorial h_{ij} components under the rotation group \mathsf {SO}(n+2). We further decompose the latter into a symmetric traceless part h_{(ij)}...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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4fa69b02831c3d86a72d133d9aab72a6dc769284
subsection
12
110
Mode decomposition on
The resulting decomposition of the metric perturbation readsh_{ab}&= \sum _{{I_\mathsf {s}}} h_{ab}^{I_\mathsf {s}}(y)\mathbb {S}^{I_\mathsf {s}}(\theta ), \\ h_{ai}&=r^2\left( \sum _{{I_\mathsf {v}}} B^{I_\mathsf {v}}_{\mathsf {(v)}a}(y)\mathbb {V}^{I_\mathsf {v}}_i(\theta )+ \sum _{{I_\mathsf {s}}} B^{I_\mathsf {s}}...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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a2a77000cf6072b89e7c34352d8a8f6d19f6069d
subsection
13
110
Mode decomposition on
The same remark holds when applied to the AdS mode \hat{\psi }^{(k,l,{\mathbf {m}_\mathsf {t}})}_{\mathsf {t}} introduced in the next paragraph. h^{I_\mathsf {s}}_{ab}, B^{I_\mathsf {v}}_{\mathsf {(v)}a}, B^{I_\mathsf {s}}_{\mathsf {(s)}a}, \hat{\phi }^{I_\mathsf {t}}_{\mathsf {t}}, \phi ^{I_\mathsf {v}}_{\mathsf {v}},...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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6305187af3d969d1699933069b7e308a9c26a470
subsection
14
110
Mode decomposition on
In addition, we use parentheses to indicate symmetric traceless combinations on the tangent space to the sphere,A_{(ij)}\equiv \frac{1}{2}\left(A_{ij}+A_{ji}\right)-\frac{1}{n+1}A^k{}_k\sigma _{ij},so that the full tensorial part of the perturbation is given byh_{ij}=r^2\left( \hat{\phi }^{I_\mathsf {t}}_{\mathsf {t}}\...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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ddb1335cc1ad307c270d185f6cbe5e5f7e308d19
subsection
15
110
Mode decomposition on
We hope this will not lead to any confusion, since it will always be clear which case we are discussing, and the comparison of the two KK reductions will always be performed using the modes obtained from the harmonic expansion, which are easily differentiated by their notation. with respect of the group of isometries o...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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5cf8cce5e2cc60f51fec6d9b7ae9c0b7af2663eb
subsection
16
110
Mode decomposition on
\\ &\hphantom{\frac{\ell ^2}{r^2}}\qquad \qquad \qquad \qquad \left. +\sum _{{\mathbf {m}_\mathsf {s}}}\psi ^{\mathbf {m}_\mathsf {s}}_{\mathsf {s}}(y){\partial }_{(i}{\partial }_{j)}\mathbb {S}^{\mathbf {m}_\mathsf {s}}(\chi )\right), \\ h^i{}_{i}&\equiv \delta ^{ij}h_{ij}=(d-p-1)\frac{\ell ^2}{r^2}\sum _{{\mathbf {m...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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3f20f66f76f0ca78042eb770fcaf3d6e22023acc
subsection
17
110
Mode decomposition on
The overall factors of \ell ^2/r^2 in the definitions (REF )-() ensure that these fields transform covariantly in the reduced theory. When referring to scalar/vector/tensor modes, we will mean that from the perspective of the (p+2)-dimensional theory. In addition, we have used parentheses to indicate symmetric traceles...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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9bac2453bddb8b747184be41868d992893dc5c8e
subsection
18
110
Gauge invariant variables
Not all the fluctuations are independent, as some modes are diffeomorphic to each other or to the background solution. Indeed, under a change of coordinates\delta X^A \equiv X^{A^{\prime }}-X^A= -\xi ^A,the linearized perturbations transform asIn general the right hand side of (REF ) contains terms which are higher ord...
{ "cite_spans": [ { "arxiv_id": "", "doi": "10.1088/1126-6708/2006/05/057", "end": 621, "openalex_id": "https://openalex.org/W3104946429", "raw": "K. Skenderis and M. Taylor, “Kaluza-Klein holography,” JHEP 0605 (2006) 057 [hep-th/0603016].", "source_ref_id": "c1458093dcf6d4525...
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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5c0fdd4047345e3fd3c9e018749aeae73b997578
subsection
19
110
Gauge invariant variables at linear order for fluctuations of Minkowski
Expand the diffeomorphism generator \xi ^A=\lbrace \xi ^a, \xi ^i \rbrace in spherical harmonics,\xi _a(y,\theta ) \equiv \eta _{ab} \xi ^b =\xi _a^{I_\mathsf {s}}(y)\mathbb {S}^{I_\mathsf {s}}(\theta ),\qquad \xi _i(y,\theta )\equiv \sigma _{ij} \xi ^i =\xi _\mathsf {v}^{I_\mathsf {v}}(y)\mathbb {V}^{I_\mathsf {v}}_i(...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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9a7a707737477ec8ed234973dd58fb0cee5dd89c
subsection
20
110
Gauge invariant variables at linear order for fluctuations of Minkowski
On the other hand, \phi ^{I_\mathsf {s}}_{\mathsf {s}} and \phi ^{I_\mathsf {v}}_{\mathsf {v}} are pure gauge field, and they can be complemented by an additional pure gauge field \tilde{B}^{I_\mathsf {s}}_{\mathsf {(s)}a} given by\tilde{B}^{I_\mathsf {s}}_{\mathsf {(s)}a}=r^2\left(B^{I_\mathsf {s}}_{\mathsf {(s)}a}-\f...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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43e8192720b285942032f4ae6a28315ba44ed1f8
subsection
21
110
Gauge invariant variables at linear order for fluctuations of Minkowski
Armed with them, we can compensate for the variations in the remaining fields and define the diffeomorphism invariant quantities \hat{h}^{I_\mathsf {s}}_{ab}, \hat{B}^{I_\mathsf {v}}_{\mathsf {(v)}a}, and \hat{\pi }^{I_\mathsf {s}} as\hat{h}^{{I_\mathsf {s}}}_{ab}&=h^{I_\mathsf {s}}_{ab}-{\partial }_a\tilde{B}^{I_\math...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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1dd58b7966e5e888191f337c689f70847efc81d0
subsection
22
110
Gauge invariant variables at linear order for fluctuations of Minkowski
As a consequence \hat{B}^{I_\mathsf {v}}_{\mathsf {(v)}a} is only defined for l\ge 2 and we have to work with the unhatted variable B^{I_\mathsf {v}}_{\mathsf {(v)}a} when l=1. The latter field transforms nevertheless as a gauge field from the perspective of the (p+2)-dimensional theory,\delta {B}^{(l=1)}_{(\mathsf {v}...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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25cd7a43d678dfa1a954b79858a1a3d8a168b962
subsection
23
110
Gauge invariant variables at linear order for fluctuations of AdS
The same approach can be applied to perturbations of the AdS metric. Consider the diffeomorphism \delta X^M\equiv X^{M^{\prime }}-X^M=-\xi ^M generated by the vector field \xi ^M. Its Fourier decomposition on {\mathcal {T}}^{d-p-1} is\xi _a(y,\chi )&= \check{g}_{ab} \xi ^b = \frac{\ell ^2}{r^2} \eta _{ab} \xi ^b= \frac...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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58173d44b84ddb31d9222adc2f37913dcd01b587
subsection
24
110
Gauge invariant variables at linear order for fluctuations of AdS
Then the variation (REF ) of the metric perturbation assumes the compact form\delta h_{mn}={\partial }_m\xi _n+{\partial }_n\xi _m-\frac{2}{r}\left(\eta _{mn}\xi _r-\delta _{m}{}^r\xi _n-\delta _{n}{}^r\xi _m\right),from which we can read off how the modes change under this transformation,&\delta h_{ab}^{\mathbf {m}_\m...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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21f885ce4a9f6cf53755299bc157531ede9ffd3c
subsection
25
110
Gauge invariant variables at linear order for fluctuations of AdS
The remaining gauge degrees of freedom are encoded in the field \tilde{C}^{\mathbf {m}_\mathsf {s}}_{\mathsf {(s)}a},\tilde{C}^{\mathbf {m}_\mathsf {s}}_{\mathsf {(s)}a}=C^{\mathbf {m}_\mathsf {s}}_{\mathsf {(s)}a}-\frac{1}{2}{\partial }_a\psi ^{\mathbf {m}_\mathsf {s}}_{\mathsf {s}},that transforms under diffeomorphis...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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4ee6bf2156c958d17868b3e32d52bb390cafed96
subsection
26
110
Gauge invariant variables at linear order for fluctuations of AdS
As before, we use these pure gauge fields to compensate for the variations of the remaining modes by defining the gauge invariant fields \hat{h}^{\mathbf {m}_\mathsf {s}}_{ab}, \hat{C}^{(k,{\mathbf {m}_\mathsf {v}})}_{\mathsf {(v)}a}, and \hat{\varpi }^{\mathbf {m}_\mathsf {s}},&\hat{h}^{{\mathbf {m}_\mathsf {s}}}_{ab}...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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5f041d41283edf513f518fe08a203eba3b5834a6
subsection
27
110
Gauge invariant variables at linear order for fluctuations of AdS
As a consequence \tilde{C}^{\mathbf {m}_\mathsf {s}}_{\mathsf {(s)}a} (and the hatted fields) can be defined for {\mathbf {m}^2_\mathsf {s}}\ne 0 only, and one has to work with the unhatted fields h_{ab}^{\mathbf {m}_\mathsf {s}}, \varpi ^{\mathbf {m}_\mathsf {s}}, and C^{(k,{\mathbf {m}_\mathsf {v}})}_{\mathsf {(v)}a}...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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aa92d157259a910cb3d963acc06ce5a868c5f3a0
subsection
28
110
A note on the De Donder-Lorentz gauge
To perform the Kaluza-Klein reduction it is common to fix the gauge by imposing the De Donder-Lorentz (DDL) gauge fixing condition on the perturbations,ih_{(ij)}=0,\qquad ih_{ia}=0.In the case of the dimensional reduction of Einstein vacuum gravity on a sphere, this gauge condition kills the components B^{I_\mathsf {s}...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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2b7e40e442f5ca02b62802ab504f91e031a9e14a
subsection
29
110
A note on the De Donder-Lorentz gauge
We will however not impose this gauge, but rather work with gauge invariant perturbations, as the cancellation of all gauge dependence is a useful consistency check.
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
[ -0.012162626720964909, 0.027011102065443993, -0.05884452536702156, 0.01041529793292284, -0.010209280997514725, -0.03195550665259361, 0.02600390836596489, 0.029254397377371788, 0.01568780466914177, 0.02189883217215538, -0.05344230681657791, -0.013696307316422462, 0.021395234391093254, 0.011...
97d8e3597336b5d4f7c7adf1c84c14a18f6cd09e
subsection
30
110
Equation of motion for Kaluza-Klein modes
In this section we derive the field equations that the Kaluza-Klein modes satisfy by substituting the KK expansion in the linearized field equations.
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
[ -0.032612983137369156, 0.04652460291981697, -0.03462650999426842, -0.024787697941064835, -0.03212485834956169, 0.008938825689256191, 0.04329076409339905, -0.007619357202202082, 0.04615850746631622, -0.0037124345544725657, -0.01337010320276022, -0.010174397379159927, -0.033070605248212814, ...
bc890a471154cd9f4ac631c3dd6faf1b0b2437b4
subsection
31
110
Perturbations of Minkowski reduced on a sphere
We first decompose the linearized field equations (REF ) into their scalar ab, vector ai, and tensor ij components under the rotation group of the sphere.
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
[ -0.007005789317190647, 0.009930905885994434, -0.017924446612596512, -0.017192214727401733, -0.005278177559375763, 0.018778719007968903, -0.000756545108743012, -0.010167356580495834, 0.019541461020708084, 0.009496143087744713, -0.024880656972527504, -0.009648691862821579, -0.03828966990113258...
d580b1d60f476a2b2c976d3fd238ed4074e1079a
subsection
32
110
Perturbations of Minkowski reduced on a sphere
After evaluating all covariant derivatives on the background metric (REF ), one obtainsE^{(0)}_{ab} = {}& {\partial }_a{\partial }^ch_{bc}+{\partial }_b{\partial }^ch_{ac}-\Box h_{ab}-\frac{1}{r^2}\Box _\theta h_{ab}-{\partial }_a{\partial }_b h^c{}_c-\frac{1}{r^2}{\partial }_a{\partial }_b h^i{}_i\\ &+\frac{1}{r^2}\le...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
[ -0.06203038990497589, 0.02141924947500229, -0.012296236120164394, -0.02015301212668419, 0.0017734955763444304, 0.011899583041667938, 0.014691407792270184, 0.04112984240055084, 0.017651047557592392, 0.02788774110376835, -0.023692375048995018, 0.02927602455019951, -0.013867590576410294, 0.00...
ef8c1b3122444640f0d3f819692ea3fe51053649
subsection
33
110
Perturbations of Minkowski reduced on a sphere
The scalar equation becomes simply\left.E^{(0)}_{ab}\right|_{\mathbb {S}^{I_\mathsf {s}}}={} & {\partial }_a{\partial }^c\hat{h}^{I_\mathsf {s}}_{bc}+{\partial }_b{\partial }^c\hat{h}^{I_\mathsf {s}}_{ac}-\Box \hat{h}^{I_\mathsf {s}}_{ab}-{\partial }_a{\partial }_b\hat{h}^{I_\mathsf {s}}+\frac{n+1}{r}\left({\partial }_...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
[ -0.026984013617038727, 0.05079343542456627, -0.03391316533088684, -0.0048153032548725605, 0.006860471796244383, 0.010905020870268345, 0.01958172395825386, 0.06230132281780243, 0.019154375419020653, 0.014430646784603596, -0.041544388979673386, 0.022741051390767097, -0.01868123933672905, 0.0...
d79ebf922a68690a22488820e61988225a715d44
subsection
34
110
Special cases
When l=0, \mathbb {S}^{I_\mathsf {s}} is constant, and its derivatives vanish. Hence, the perturbations that respect the {\mathcal {S}}^{n+1} are described by the fields h_{ab}^{l=0} and \pi ^{l=0}. These fields verify the two equations \left.E^{(0)}_{ab}\right|_{\mathbb {S}^{I_\mathsf {s}}}=0 and \left.E^{(0)}_{ij}\ri...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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86af777910f908863d2c8bd3bb0da5b61a5d08a6
subsection
35
110
Special cases
Defining the field strengthsG^{(l=1)}_{ab}={\partial }_a B^{(l=1)}_{(\mathsf {v})b}-{\partial }_b B^{(l=1)}_{(\mathsf {v})a}associated to the l=1 vectors B^{(l=1)}_{(\mathsf {v})a}, equation (REF ), for l=1, takes the form,\partial ^a {G}^{(l=1)}_{ab} + (n+3) \frac{1}{r} {G}^{(l=1)}_{rb} =0,and this equation is manifes...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
[ -0.025913065299391747, 0.002186128869652748, -0.031101783737540245, -0.042455919086933136, 0.0012695189798250794, -0.03363509848713875, 0.051642999053001404, 0.041112955659627914, 0.055244579911231995, 0.02119743637740612, -0.058144159615039825, 0.022174136713147163, 0.002594358753412962, ...
9514d1b37e0dbb50094930512fb436c5036f3a0e
subsection
36
110
Independent equations
There are linear differential relations between the field equations for these modes,&\left[2\delta _a^b{\partial }^c-\eta ^{bc}{\partial }_a+\frac{2(n+1)}{r}\delta _a^b\delta _r^c\right] \!\left.E_{ab}^{(0)}\right|_{\mathbb {S}^{I_\mathsf {s}}} \!\!-\frac{n+1}{r^2}{\partial }_a\!\left.E_{ij}^{(0)}\right|_{\sigma _{ij}\...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
[ -0.05389155074954033, 0.02561832219362259, -0.006660153158009052, -0.011168916709721088, -0.0314316526055336, 0.007594711147248745, 0.023451674729585648, 0.05141974240541458, 0.045804765075445175, -0.01618882641196251, -0.023329610005021095, 0.01940828189253807, -0.0015181793132796884, 0.0...
ec48b7befd5d714218bd976d0e81a86d2bcf7954
subsection
37
110
Independent equations
\\ &\left[2{\partial }^a{\partial }^b-\eta ^{ab}\Box +\frac{4}{r}(n+2)\delta _r^a{\partial }^b-\frac{n+3}{r}\eta ^{ab}{\partial }_r +\frac{2}{r^2}(n+1)(n+2)\delta _r^a\delta _r^b +\frac{\Lambda ^{I_\mathsf {s}}}{r^2}\eta ^{ab}\right]\!\left.E_{ab}^{(0)}\right|_{\mathbb {S}^{I_\mathsf {s}}}\\ &\qquad \qquad -\frac{n+1}{...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
[ -0.03823027014732361, 0.05790986120700836, -0.017787907272577286, -0.024851202964782715, 0.010419503785669804, -0.024500325322151184, 0.034507930278778076, 0.05803190544247627, 0.02816164493560791, 0.012036586180329323, -0.05668942257761955, 0.015347028151154518, -0.016125058755278587, 0.0...
36b6f7c7b346df14d0cc8e1c49fb55af8e46f5c7
subsection
38
110
Independent equations
This will become obvious in the Lagrangian analysis in § .There are linear differential relations between the field equations for the scalar modes,&\left[\delta _a^b{\partial }^c-\frac{1}{2}\eta ^{bc}{\partial }_a-\frac{d-1}{r}\delta _a^b\delta _r^c\right] \!\left.E_{bc}^{(\Lambda )}\right|_{\mathbb {S}^{\mathbf {m}_\m...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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6e966c86eee151552566390bc0a3ddc863504836
subsection
39
110
Independent equations
Note however that they are obtained with {\mathbf {m}^2_\mathsf {s}} prefactors; this was expected, as the latter equations hold for the {\mathbf {m}^2_\mathsf {s}}\ne 0 modes only. Again, these extra equations are a consequence of the gauge freedom that allows to choose arbitrary fields C^{\mathbf {m}_\mathsf {s}}_{\m...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
[ 0.002506899880245328, 0.014514836482703686, -0.07008635997772217, 0.004712361376732588, -0.015537437982857227, -0.03189906105399132, 0.013759331777691841, 0.04044618085026741, 0.037485212087631226, 0.009493404999375343, -0.04697861894965172, 0.0007039924385026097, 0.04801648110151291, -0.0...
2218c9bfbc05c13ab351b10406d13f623ae85beb
subsection
40
110
Perturbations of AdS reduced on a torus
Since the Poincaré metric is conformal to the Minkowski metric, it is quicker to evaluate the linearized equations (REF ) for a small metric perturbation introducing once more the coordinates \zeta ^m=\lbrace r,z^\alpha \rbrace =\lbrace r, \lbrace x^\mu , \chi ^i\rbrace \rbrace and working with the background metric ds...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
[ -0.027685491368174553, 0.010027214884757996, 0.0105308648198843, -0.048075687140226364, 0.006287994794547558, -0.008630730211734772, 0.02716657891869545, -0.0004964959225617349, 0.023259475827217102, 0.022221650928258896, -0.057812921702861786, 0.024923047050833702, -0.0006691486923955381, ...
73acc534c8db6b681e89766e6724211f280860e6
subsection
41
110
Perturbations of AdS reduced on a torus
\\ &\hphantom{+}+\frac{1}{r}\left[2\delta _{m}{}^r{\partial }^p h_{pn}+2\delta _{n}{}^r{\partial }^p h_{pm} -2\eta _{mn}{\partial }^p h_{p r}-(d-3)\left({\partial }_m h_{n r}+{\partial }_n h_{m r}\right)\right.\\ &\qquad \qquad \left. +(d-5){\partial }_rh_{mn}-2\left(\delta _{m}{}^r{\partial }_n h^p{}_p+\delta _{n}{}^r...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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645476df3059912290c1c10ebf2f8886770d5139
subsection
42
110
Perturbations of AdS reduced on a torus
Next, we project these equations on the Fourier basis of the torus {\mathcal {T}}^{d-p-1}, and rewrite all fields in terms of the hatted, gauge invariant fields.
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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8e28dc0d6ef79a8fa30e0adfaaef09b0628abe34
subsection
43
110
Perturbations of AdS reduced on a torus
The scalar equation becomes simply\left.E_{ab}^{(\Lambda )}\right|_{\mathbb {S}^{\mathbf {m}_\mathsf {s}}}= \frac{1}{2}&\left\lbrace -\Box \hat{h}^{\mathbf {m}_\mathsf {s}}_{ab}+{\mathbf {m}^2_\mathsf {s}}\hat{h}^{\mathbf {m}_\mathsf {s}}_{ab} +{\partial }_a{\partial }^c\hat{h}^{\mathbf {m}_\mathsf {s}}_{bc}+{\partial...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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62d6dc434636739ce4bf0f69120ed8d1e9e94f37
subsection
44
110
Perturbations of AdS reduced on a torus
\\ &\qquad \qquad \qquad \qquad \qquad \left. -\frac{d-1}{r}\left({\partial }_a\hat{C}^{(k,{\mathbf {m}_\mathsf {v}})}_{\mathsf {(v)}r}-{\partial }_r\hat{C}^{(k,{\mathbf {m}_\mathsf {v}})}_{\mathsf {(v)}a}\right)+{\mathbf {m}^2_\mathsf {v}}\hat{C}^{(k,{\mathbf {m}_\mathsf {v}})}_{\mathsf {(v)}a} \right), \\ &\left.E_{...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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a0da2e54ffd9587322cefc2e3cf7c8f974293746
subsection
45
110
Perturbations of AdS reduced on a torus
\\ &\qquad \left.\qquad \qquad -\frac{2}{r}{\partial }^a\hat{h}^{\mathbf {m}_\mathsf {s}}_{ar}+\frac{1}{r}{\partial }_r\hat{h}^{\mathbf {m}_\mathsf {s}}+\frac{2d}{r^2}\hat{h}^{\mathbf {m}_\mathsf {s}}_{rr} +\frac{{\mathbf {m}^2_\mathsf {s}}}{d-p-1} \hat{h}^{\mathbf {m}_\mathsf {s}}\right\rbrace .Again, the equations of...
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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4f863550bf5e2063817e842bf2280113417bb8c4
subsection
46
110
Quadratic action for the perturbations
We start with the Einstein-Hilbert action in presence of a cosmological constant,S=\int d^DX\sqrt{-g}\left(R-2\Lambda \right).We consider perturbations h_{AB} on top of a background \check{g}_{AB} solving the field equations, g_{AB}=\check{g}_{AB}+h_{AB}, and expand the action up to quadratic order in the perturbation....
{ "cite_spans": [] }
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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aae8f0a27c7a8555114ae8143b9178955e1ee71b
subsection
47
110
Quadratic action for the perturbations
Expanding the measure we obtain,\sqrt{-g}=\sqrt{-\check{g}}\left[1+\frac{1}{2}h^A{}_A-\frac{1}{4}\left(h^{AB}h_{AB}-\frac{1}{2}(h^A{}_A)^2\right)+\mathcal {O}(h^3)\right],while the Ricci tensor can be expanded asR_{AB}=\check{R}_{AB}+R^{(1)}_{AB}+R^{(2)}_{AB}+\mathcal {O}(h^3),with \check{R}_{AB} the Ricci tensor of th...
{ "cite_spans": [ { "arxiv_id": "", "doi": "10.1088/1126-6708/2006/05/057", "end": 836, "openalex_id": "https://openalex.org/W3104946429", "raw": "K. Skenderis and M. Taylor, “Kaluza-Klein holography,” JHEP 0605 (2006) 057 [hep-th/0603016].", "source_ref_id": "c1458093dcf6d4525...
10.1140/epjc/s10052-018-6058-8
1802.06085
Kaluza-Klein reductions and AdS/Ricci-flat correspondence
[ "Marco M. Caldarelli", "Kostas Skenderis" ]
[ "hep-th" ]
2,018
en
Physics
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